NVIDIA is developing processor and system architectures that are at the forefront of accelerating agentic AI, building data centers, and enabling other high-performance computing applications. We are architecting the most advanced CPUs and SoC's in the world for these applications and are looking for software architects to join our effort.

In this position, you will have the opportunity to work with teams to maximize the potential of our SoC products, bringing together NVIDIA CPUs, GPUs, custom processors and accelerators. Your role will be cross disciplinary, collaborating with industry partners, customers, internal architects, software, ASIC design, verification, and platform teams.

Our software architects excel at pushing the state of the art, while making the best engineering trade-offs.

What you'll be doing:

• Collaborate with Hardware and Software Engineers to craft the next generation CPUs and SoCs

• Bring a deep understanding of Software Architecture, system software technologies, and modern OSes to drive hardware architecture decisions

• Provide direction and advice for designing optimized solutions to various software engineering organizations

• Collaborate with key partners to customize solutions to meet their requirements

• Research upcoming industry directions for NVIDIA's key markets and provide engagement advice to Sr. Management

What we need to see:

• You have a MS or PhD degree in computer or electrical engineering or equivalent experience

• 15+ years of software and/or architecture experience with CPUs and SoCs.

• A deep knowledge of OS/driver software stacks, e.g., Linux and a very strong Software development background with C

• Excellent communication skills to describe hard problems in simple terms and drive multi-functional groups to efficient engineering solutions

• Excellent analytical, written, and verbal interpersonal skills and ability to work as part of a global team

Ways to stand out from the crowd:

• Excellent understanding of processor architectures such as ARM, RISC-V, x86

• Background with virtualization technologies and hypervisors

• Familiarity with CPU and SoC security architecture, such as ARM Confidential Compute

• Experience in working with the Linux open source community

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you!

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 16, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

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At Dropbox, we believe in simplifying the way people work together. We provide a range of innovative cloud-based solutions to empower individuals and businesses to share, access, and collaborate on their files seamlessly. Security plays a pivotal role in shaping our mission of building a more enlightened way of working where everyone can unleash their creative potential without constraints.

As a Senior Infrastructure Security Engineer, you'll safeguard our digital ecosystem alongside a diverse team of professionals dedicated to protecting our products and users. Trusted by millions, our mission is to integrate security seamlessly into Dropbox, empowering confident collaboration. Join us in owning a range of security projects, fostering innovation and growth in a collaborative environment.

Responsibilities

• Design, deploy, and operate security controls for Dropbox’s AI and agentic infrastructure, including model gateways, inference services, vector stores, retrieval systems, and supporting cloud and Kubernetes platforms.
• Implement least-privilege and secure-execution patterns for AI agents, including per-tool authorization, sandboxing, human-in-the-loop approvals for high-impact actions, and separation of policy validation from execution.
• Lead security implementation for AI tool and agent connectivity layers, including MCP gateway deployments, with controls for OAuth-based authorization, scope minimization, token audience validation, origin validation, replay protection, and secure isolation between trusted and untrusted tool domains.
• Deploy, build, and/or operate security infrastructure solutions to help scale and raise the security bar for Dropbox’s on-prem and cloud infrastructure.
• Automate security controls using scripting to eliminate redundant work and minimize need for human involvement.
• Collaborate with cross functional teams and lead security initiatives to influence product decisions and enhance security posture.

Requirements

• 9+ years of Security experience or related industry experience, demonstrating impactful contributions to security strategies.
• Bachelor's degree in Computer Science, Information Security, or related field, or equivalent experience, with coding proficiency.
• Experience securing LLM, RAG, or agentic AI systems in production, with hands-on implementation of controls for prompt injection, sensitive-data disclosure, excessive agency, data or model poisoning, and AI supply-chain risk.
• Experience designing identity and authorization for non-human workloads and agents using technologies such as SPIFFE/SPIRE, OAuth 2.1 or OIDC, AWS IRSA, Google Workload Identity Federation, Azure managed identities, or equivalent patterns.
• Integrate adversarial testing and release gates for AI systems into CI/CD, including regression coverage for prompt injection, tool abuse, memory poisoning, approval bypass, and multi-agent escalation scenarios.
• Solid knowledge of Linux fundamentals including system administration, security, networking, scripting, and troubleshooting.
• Proficiency using one or more scripting or high-level languages to automate tasks, manipulate data, or build small systems e.g. Bash, Python, Go, Rust, Ruby, NodeJS, C/C++, Java.

Preferred Qualifications

• Experience securing MCP-based systems or similar AI agent and tool protocols.
• Experience with multi-agent security controls such as trust boundaries, signed inter-agent messaging, and circuit breakers.
• Familiarity with NIST AI RMF, NIST SP 800-218A, MITRE ATLAS, CSA AICM, and OWASP LLM and agentic security guidance.
• Experience with security tools such as Teleport, CrowdStrike, Proofpoint, IPS/IDS, SIEM or SOAR.
• Certifications such as CISSP, CISM, or equivalent.

Compensation

Canada Pay Range $205,700-$278,300 CAD

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Business: AI Platforms

Principal responsibilities

• Lead major incident troubleshooting and root cause analysis, driving fast recovery and durable fixes.
• Architect and evolve scalable, highly available, secure infrastructure using cloud and container platforms (AWS/GCP/Azure, Kubernetes, Docker).
• Embed and mature SRE disciplines: define/measure SLIs/SLOs, manage error budgets, and automate operations to reduce toil.
• Build and operate observability (monitoring, logging, alerting) with tools such as Prometheus, Grafana, ELK, Datadog, Splunk.
• Advance CI/CD, deployment automation, infrastructure as code (Terraform, Ansible, Helm), and configuration management.
• Mentor engineers and junior SREs, promoting reliability, learning, and knowledge sharing.
• Partner with engineering, QA, product, and operations to bake reliability, scalability, and security into the SDLC.
• Lead on-call practices, improve incident response, and run blameless post-mortems.
• Prioritise and deliver large-scale engineering initiatives that improve reliability and operational efficiency.
• Maintain high-quality documentation, runbooks, and knowledge bases.

Requirements

• Degree in Computer Science/Engineering (or equivalent practical experience).
• 10+ years in IT, with strong experience in SRE/DevOps/Production Support or similar roles.
• Deep hands-on expertise in Kubernetes/Docker, cloud platforms, and orchestration.
• Strong Linux, networking, and security fundamentals.
• Proven experience with monitoring, logging, and observability platforms.
• Proficiency in at least one language (e.g., Python, Bash, Go).
• Demonstrated delivery of automation and optimisation at scale.
• Experience implementing and scaling SRE principles across teams.
• Strong analytical, communication, and coaching skills.
• Track record supporting high-availability / mission-critical / 24x7 environments.
• Preferably with strong IaC expertise (Terraform, Ansible, or similar), relevant certifications (GCP Professional SRE, AWS DevOps Engineer, CKA/CKAD), experience with microservices/distributed high-throughput systems, and AIOps exposure.
• Demonstrates an AI-native mindset by applying AI-driven approaches, including coding assistants, to improve productivity, quality, and engineering best practices.

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Design, develop, test, and maintain production C++ software for edge systems, imaging systems, mission applications, developer tooling, and automated test infrastructure. Build Linux-based applications for NVIDIA, ARM, and other embedded compute platforms connected to real sensors, payloads, peripheral hardware, and mission systems. Integrate camera inputs such as RGB, NIR, and thermal, alongside GPS, IMU, communications, and other sensor or peripheral inputs using interfaces such as MIPI CSI, GMSL, Ethernet, serial, or similar hardware-facing protocols. Develop calibration, synchronisation, data capture, diagnostics, device inspection, and system configuration tools for multi-sensor and mission-system environments. Optimise software for latency, frame rate, throughput, reliability, power use, and thermal performance on constrained edge compute platforms. Debug issues across software, hardware, operating systems, networking, sensors, timing, compute, and deployment environments. Collaborate across systems, hardware, autonomy, AI, product, and test teams to deliver integrated capability. Own technical outcomes from ambiguous requirements through implementation, integration, verification, and delivery.

Degree in Computer Science, Software Engineering, Electrical Engineering, Robotics, a related technical field, or equivalent real-world engineering experience. Proven commercial or production C++ development experience, including designing, implementing, debugging, and maintaining non-trivial software systems. Demonstrated experience building software that interfaces with real hardware, sensors, embedded devices, robotics, vehicles, imaging systems, networks, or other operational platforms. Practical experience developing and debugging software on Linux-based systems. Experience working with edge compute, embedded compute, ARM-based platforms, NVIDIA platforms, or comparable hardware-constrained environments. Strong software engineering fundamentals, including concurrency, interfaces, memory management, data structures, algorithms, testing, and version control. Proven ability to debug complex issues across software, hardware, operating systems, networking, timing, and integration boundaries. Experience owning technical work from incomplete requirements through design, implementation, integration, verification, and delivery. Ability to collaborate effectively with cross-functional engineering teams, including systems, hardware, test, autonomy, AI, or product stakeholders.

Runtime-critical, multi-threaded, or performance-sensitive C++ software for real-time or near-real-time systems. Imaging, video, or sensor pipelines, including camera integration, ISP tuning, high-throughput image processing, GStreamer, FFmpeg, or similar technologies. Hardware-accelerated processing on embedded or edge platforms, including NVIDIA Jetson, Qualcomm-based platforms, embedded AI accelerators, GPU-accelerated video or compute pipelines, or similar systems. Integration of peripheral hardware such as RGB, NIR, and thermal cameras, GPS, IMU, GPU, or vehicle-interface systems. Robotics, aerospace, defence, autonomy, unmanned systems, automotive, or other mission-critical domains. Systems architecture, including interface design, system decomposition, testability, reliability, and maintainability. Low-level Linux, device interfaces, vendor SDKs, driver-adjacent debugging, NixOS, edge AI/ML inference, or related Linux-based deployment environments. Automated build, CI/CD, simulation, software-in-the-loop, hardware-in-the-loop, system test, containerised deployment, or deployment tooling.

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Hardware Release Engineering, Sr Engineer

Yerevan, Armenia

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Hire Type EmployeeJob ID 17650Date posted 06/09/2026

We Are

Synopsys is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. We deliver industry-leading silicon design, IP, simulation and analysis solutions, and design services. We partner closely with our customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow.

You Are

You bring experience in semiconductor development environments where you have learned that successful IP delivery depends on managing technical details and coordinating across distributed teams. You understand ASIC or SOC workflows well enough to know what a complete release requires and how to verify it before it reaches customers.

You are comfortable working independently in Linux environments, following established procedures while recognizing when issues require escalation or clarification. Debugging technical problems is part of your workflow, whether that involves QA failures, missing deliverables, or packaging inconsistencies. You ask the right questions to resolve blockers and keep projects moving forward.

Working with global engineering teams across time zones is something you handle effectively. You communicate clearly in written and verbal English, document your work thoroughly, and maintain visibility into multiple concurrent releases. At Synopsys, you will support the delivery of Mixed-Signal IP that enables customers to build semiconductor products on schedule.

What You'll Be Doing

• Coordinate customer delivery of multiple Mixed-Signal IP projects by working with project teams to package and publish releases according to schedule

• Monitor release queue status and identify potential delays or blockers that require attention

• Debug QA issues in collaboration with engineering teams to determine root causes and implement appropriate resolutions

• Verify release integrity and completeness using standard tools in a Linux environment

• Communicate with global engineering teams to collect release artifacts and clarify technical requirements

The Impact You Will Have

• Your coordination ensures customers receive quality IP releases on schedule, enabling them to meet their own product development timelines

• The issues you identify and resolve reduce customer-reported defects and support faster integration

• Your tracking and reporting provide leadership with visibility into release status and resource requirements

• The process improvements you contribute to make subsequent releases more efficient and predictable

• Your attention to verification and documentation standards maintains the quality customers expect from Synopsys IP

What You'll Need

• Bachelor's degree in Engineering, Applied Science, or equivalent experience

• Familiarity with SOC, ASIC, or semiconductor development environments

• Proficiency navigating and working with files and tools in a Linux environment

• English proficiency at B2 level or higher for technical documentation and global team communication

• Experience with scripting languages such as UNIX shell scripts, TCL, Perl, or Python is beneficial

Who You Are

• You review release checklists against delivered materials and identify discrepancies without requiring detailed guidance

• You investigate technical issues systematically to determine whether they represent critical blockers or can be addressed in normal workflow

• You manage multiple concurrent releases while maintaining clear priorities and meeting deadlines

• You communicate technical information clearly to stakeholders with varying levels of technical expertise

The Team You'll Be Part Of

Your recruiter will share more about the team structure and mission during the interview process.

Rewards and Benefits

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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In this role, you won't just be testing software; you will be architecting the security and reliability of the next generation of intelligent vehicles. We are looking for engineers who are as comfortable navigating low-level product architecture as they are deep diving into complex product use cases with passion for quality. This is a high-impact, hands-on position focused on our industry-leading automotive products, offering a rare opportunity to influence the core of our tech stack. You will also build the tools and frameworks that define performance standards for systems running on Linux and QNX.

Responsibilities:

• Design, execute, and automate comprehensive test cases and test scenarios to validate our automotive platforms using various test methodologies to identify and track actionable defects and track them to closure.

• Participate in deep-dive reviews of product requirements and technical designs, providing critical feedback to ensure features are built for testability and security from day one.

• Partner closely with project management, hardware teams, and software developers to provide rigorous technical analysis of bugs and publish data-driven statistical reports for global team members.

• Architect and maintain a distributed test automation framework capable of managing high concurrency workloads across an extensive automation farm of hundreds of concurrent systems.

• Develop sophisticated test libraries and automation solutions to accelerate development cycles and expand automated test coverage for reliable and 100%.

• Drive the full automation lifecycle, from analysing log failures and logging defects to leading bug-scrub cycles that ensure high-quality product releases.

Requirements:

• 5+ years of proven experience in SWQA Test development & Automation engineering.

• Bachelor's degree in computer science, Electronics & Electrical Engineering. Solid foundation in QNX or Linux-based operating systems, including a detailed understanding of system concepts and boot sequences.

• Professional experience in System SW validation, Including CPU, Memory, GPU, Ethernet, CAN etc. Knowledge about Ethernet standards, TCP, UDP, ICMP, Switches, socket programming.

• Strong Python or C++ skills with a focus on writing clean, maintainable, and testable code from a systems-level perspective.

• Deep familiarity with AI-native development tools such as Claude Code, Cursor, or LLM APIs to optimize engineering velocity.

• A clear understanding of LLM failure modes,including hallucination and context degradation,and experience building evaluation frameworks for AI-generated outputs.

Nice to Have:

• Prior QNX, Linux testing experience especially in 1G & 10G Ethernet Testing & Socket programming.

• C / C++ coding experience. Understand the large C / C++ project code and derive functional/unit tests.

• Practical history of deploying prompt engineering or LLM-based agents within a production grade CI/CD pipeline.

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You will become a key part of the development and operation of Omada’s digital health program Architecture & Infrastructure. You will play a daily role building and scaling our platform one piece at a time, supporting our delivery of a personalized experience to program members, while empowering our health coaches to deliver effective interventions.

You will work closely (including pair programming) with the rest of the Platform team, collaborating frequently with internal customers from our product engineering teams, InfoSec, IT, and beyond. You will build cross-functional relationships with software engineers, data engineers, and technical program managers to understand their needs, and to deliver solutions to improve their working lives.

You will manage highly available services in our EKS clusters and on standalone EC2 hosts, with a modern approach to designing for resiliency and cross-regional redundancy. You will work with engineers to design and improve developer tooling and capability, supporting use cases like secrets management, automations, cloud environments, and access management.

You will mentor and guide the professional and technical development of team members. You will maintain and enhance our self-hosted Gitlab-based VCS and CI/CD infrastructure.

Requirements for this role:

• 5+ years of working experience designing and building diverse AWS cloud architectures
• Experience building and operating a Kubernetes cluster
• Experience with Terraform and Ansible
• Experience working with Datadog application performance monitoring, custom metrics, and logs
• Experience managing, configuring, and troubleshooting persistent virtual Linux hosts and volumes
• Experience building, deploying, and orchestrating Docker images and containers.

Bonus points for:

• Experience managing self-hosted Gitlab
• Experience working with PostgreSQL
• Experience writing Golang
• Experience working in the healthcare industry

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Responsibilities: Provide 1st, 2nd, and 3rd tier IT support to Anduril employees across classified systems Install, operate, maintain and troubleshoot air-gapped classified IT systems consisting of a variety of operating systems and hardware Provide on-call, on-site IT support if system becomes non-operational Write instructional documentation and convey highly technical ideas in non-technical terms Perform security hardening of systems using DISA STIG’s and other best practice security guidelines

Required Qualifications: Defaults to taking ownership of projects. Never waits to be directed Experience with physical hardware - servers, cabling, desktops, laptops, phones, tablets Experience building, deploying and troubleshooting air-gapped IT systems DoD approved 8570/8140 baseline certification (Security +, CySA+, CISSP, etc) Currently possesses and is able to maintain an active U.S. Top Secret SCI security clearance with Full Scope Polygraph

Preferred Qualifications: Previous support to classified IT systems Low voltage cabling experience Experience with a scripting language (Bash, Python, etc.) to automate and solve reoccurring tasks Experience Troubleshooting Applications Account Maintenance with Active Directory/CRM Experience with managing large Oracle and SQL Server databases, be able to execute and troubleshoot database scripts Reviewing Virtual tables and DBA views for any issues that may arise Locate user session data via the command line Database backups for Disaster Recovery preparation and maintenance of databases. Scripts to perform Level 0 and delta (Level 0/1) backups, full logical export of all database data that collects snapshots of parameter files and checks database for logical and physical corruption Virtual Machine Management Service (Hyper-V / VMware) Maintaining/upgrading system hardware and startup/shutdown of rack components Applying OS updates, anti-virus/anti-spyware updates, and Application updates Importing/Exporting large data volumes Install and resolve software problems with applications to include secure print/scan, Sentris, Pitbull, VoIP, Gitlab, Microsoft SQL, Postgres, and WSUS

US Salary Range: $146,000-$194,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:

Benefits: At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits.

Protecting Yourself from Recruitment Scams: Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.

To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:

No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.

Please always verify communications: Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com.

Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.

What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.

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Senior Validation/Verification Engineer

Montreal, Quebec, Canada

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Hire Type EmployeeJob ID 17665Base Salary Range $93000-$139000Date posted 06/04/2026

We Are

Synopsys is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. We deliver industry-leading silicon design, IP, simulation and analysis solutions, and design services. We partner closely with our customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow.

You Are

You have spent your academic and early professional years working with computational fluid dynamics, and you understand that great CFD software is not just about solving the equations correctly but about delivering results that engineers can trust and use.

You are the kind of engineer who does not just run test cases. You think about how the software behaves across different physics models, mesh types, and solver settings, and you care whether it works the way customers expect it to.

You are comfortable writing Python scripts to automate testing workflows, setting up regression environments, and working across Windows and Linux platforms. Learning new tools and workflows does not slow you down. Whether it is understanding a new feature in Fluent, debugging why a test failed on a particular configuration, or setting up performance benchmarks on high-performance computing systems, you figure it out.

Quality matters to you in a practical way. When a test fails, you investigate. When a new feature ships, you want to know it works under the conditions customers will actually encounter. At Synopsys, you will join a team that verifies the Fluent CFD software used by engineers solving real problems in aerospace, automotive, energy, and manufacturing.

What You'll Be Doing

• Write, modify, and maintain test cases and test scripts that verify CFD solver functionality, performance, and stability across a wide range of physics models and configurations

• Execute functional, regression, and performance testing in both manual and automated environments using Python scripting and internal test frameworks

• Investigate test failures by analyzing simulation results, comparing against expected behavior, and working with developers to isolate root causes

• Create and update test plans that align with product release cycles, contribute to defect tracking, and help define testing metrics that reflect product quality

• Work across Windows and Linux platforms, including high-performance computing environments, to ensure test coverage reflects real customer workflows

• Collaborate with CFD developers, product managers, and technical support engineers to understand new features, prioritize test coverage, and communicate quality risks

The Impact You Will Have

• Ensure that every Fluent release meets the accuracy and reliability standards that customers depend on for critical engineering decisions

• Catch solver regressions, performance degradations, and usability issues before they reach production, reducing customer-reported defects and support escalations

• Build test coverage that scales with product complexity, enabling faster release cycles without sacrificing quality

• Contribute to the long-term maintainability of the verification suite by writing clear, reusable test scripts and documenting test methodologies

• Help shape the testing strategy for new CFD features by providing feedback grounded in real simulation scenarios and customer use cases

• Support a culture of quality across the Fluids Business Unit where verification is seen as a partner in product development, not a gatekeeper

What You'll Need

• Bachelor's degree in Mechanical engineering, Aerospace Engineering, Chemical Engineering, or a related engineering discipline with 2 years of experience, or a Master's degree with no experience

• Working knowledge of computational fluid dynamics, including numerical methods, solver algorithms, and the physics behind fluid flow simulations

• Ability to communicate fluently and effectively in English to collaborate with Synopsys' global team and work with software products and development tools written entirely in English

• Experience with scripting languages like Python for test automation, data analysis, or workflow orchestration

• Comfort working in both Windows and Linux environments, including command-line tools and remote computing systems

• Familiarity with CFD software such as ANSYS Fluent, CFX, or Star-CCM+ is a strong plus, especially hands-on experience using these tools to solve engineering problems

• Experience in a commercial software testing or verification environment is a plus, particularly in CAE or simulation domains

Who You Are

• You approach your work with a thorough, detail-oriented mindset because you know that a single overlooked edge case can mean a failed simulation for a customer downstream

• You can explain a CFD test failure to a developer in terms they can act on, not just "it didn't match," but "the pressure gradient diverged at this boundary condition under this turbulence model"

• You take initiative without waiting for perfect instructions. If a test case is missing coverage for a new feature, you write it. If a script is breaking on Linux, you debug it

• You learn quickly and apply what you learn. Six months in, you should be contributing to regression testing, debugging issues with guidance, and seen as a dependable team member

• You respond well to feedback and direction, treating it as a way to improve your craft rather than a critique of your work

• You thrive in a distributed team environment where communication is clear, documentation matters, and collaboration happens across time zones

The Team You'll Be Part Of

You will join the Fluids Business Unit verification team, a group focused on ensuring the accuracy, reliability, and quality of Synopsys' Fluent CFD software. The team works closely with CFD developers, product managers, and technical support engineers across global locations to verify simulation results, maintain test coverage, and enable faster, more stable product releases.

Rewards and Benefits

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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Millennium's Production Engineering is responsible for the production systems, including Trading software, environment management, and software deployment. It involves working closely with a variety of other Technology teams at Millennium, including Level 1 Trade App Support, Developers, QA Testers, and Infrastructure Technology, as well as with Portfolio Managers and Traders.

The key strategy for Production Engineering revolves around automation logic and tools, to allow management of a continually larger enterprise footprint. We use a combination of in-house and industry-standard tools for configuration and application deployment solutions, and leverage frameworks which can quickly provide a holistic view of the overall platform.

We provide significant value-add during the release process, and ensure quality software is delivered in a timely manner.

Principal Responsibilities

• Build, develop and maintain a reliable, scalable, and integrated platform for trading strategy monitoring, reporting, and operations.

• Work with portfolio managers and other internal customers to reduce operational risk through:

• Implementation of monitoring, reporting, and trade workflow solutions.

• Implementation of automated systems and processes focused on trading and operations.

• Streamlining development and deployment processes.

Technical Qualification

• 3+ years of development experience in Python.

• Experience working in a Linux / Unix environment.

• Experience working with PostgreSQL or other relational databases.

• Ability to understand and discuss requirements from portfolio managers.

Preferred Skills and Experience

• Experience operating and monitoring low-latency trading environments.

• Familiarity with electronic trading concepts. Understands FIX protocol

• Familiarity with financial data.

• Broad understanding of equities, futures, FX, or other financial instruments.

• Experience automating SDLC pipelines (e.g., Jenkins, TeamCity, or AWS CodePipeline).

• Experience with containerization and orchestration technologies.

• Experience building and deploying systems that utilize services provided by AWS, GCP or Azure.

• Contributions to open-source projects.

The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future.

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locationsGermany, RemoteUK, RemoteSpain, RemoteNetherlands, RemoteItaly, Remote

time typeFull time

posted onPosted Today

job requisition idJR2010371

NVIDIA is looking for an experienced HPC DevOps and Network Engineer to help us build the supercomputers and HPC clusters of the future. As a Senior HPC DevOps Engineer, you'll be a key player in groundbreaking advancements in artificial intelligence and GPU computing. Your expertise will drive the latest breakthroughs, providing insights on at-scale system design and tuning mechanisms for large-scale compute runs. You will work with the latest Accelerated computing and Deep Learning software and hardware platforms, and with many scientific researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions. You will interact with HPC, OS, GPU compute, and systems specialist to architect, develop and bring up large scale performance platforms.

What you’ll be doing:

• Innovate and Implement: Design, implement, and maintain large-scale HPC/AI clusters with state-of-the-art monitoring, logging, and alerting systems.

• Infrastructure as Code (IaC): Utilize and develop tools to manage infrastructure as code, ensuring scalable and repeatable deployments.

• Streamline CI/CD Pipelines: Develop and maintain continuous integration and continuous delivery (CI/CD) pipelines to automate and streamline deployment processes.

• Automate Everything: Develop automation scripts and tools to automate deployment, configuration management, and operational monitoring.

• Develop complex Networking automations.

• Troubleshoot Complex Issues: Perform comprehensive troubleshooting from bare metal to application level, ensuring system reliability and efficiency.

• Lead and Educate: Serve as a technical resource, developing and sharing best practices with internal teams.

• Drive Innovation: Support R&D activities and engage in proof of concepts (POCs) and proof of values (POVs) for future improvements.

What we need to see:

• B.Sc. in Computer Science, Engineering, or a related field with 5+ years of experience.

• Deep knowledge of HPC and AI solution technologies, including CPUs, GPUs, high-speed interconnects, and supporting software.

• Advanced proficiency in programming and scripting languages, with a solid understanding of object-oriented programming principles.

• Familiarity with Jenkins, Ansible, Puppet/Chef.

• Excellent knowledge of Windows and Linux (Redhat/CentOS and Ubuntu), networking and OS-level security.

• Deep understanding of networking protocols such as InfiniBand and Ethernet.

• Experience with job scheduling workloads and orchestration tools such as Slurm and Kubernetes.

• Background with multiple storage solutions like Lustre, GPFS, ZFS, and XFS.

• Expertise with virtual systems (VMware, Hyper-V, KVM, Citrix).

• Familiarity with cloud platforms (AWS, Azure, Google Cloud).

Ways to stand out from the crowd:

• Proven networking experience or strong knowledge through professional networking training.

• Architectural Insight: Knowledge of CPU and/or GPU architecture.

• Container Expertise: Understanding of Kubernetes and container-related microservice technologies.

• GPU Focus: Experience with GPU-focused hardware/software (DGX, CUDA).

• RDMA Fabrics: Background with RDMA (InfiniBand or RoCE) fabrics.

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You will collaborate across engineering, manufacturing, customers, and ecosystem partners to drive platform enablement, improve system manageability, and accelerate the adoption of OpenBMC-based solutions. This is a highly cross-functional role that offers opportunities to solve complex technical challenges, influence platform architecture, and contribute to the growth of NVIDIA's data center ecosystem.

Responsibilities:

• Develop OpenBMC firmware and core features to support next-generation GPU server platforms.
• Participate in and upstream OpenBMC code, working with the open-source community to drive feature development and influence project direction.
• Build and implement manageability and monitoring solutions for enterprise components such as CPUs, GPUs, DIMMs, SSDs, NICs, PSUs, FPGAs, and CPLDs.
• Collaborate with manufacturing teams to support data center product production and provide on-site factory support as required.
• Adapt to evolving business priorities and demonstrate flexibility in taking on a broad range of technical responsibilities.
• Travel domestically and internationally as needed to support customer engagements, manufacturing activities, and product deployments.

Requirements:

• Bachelor's degree or higher in Electrical Engineering, Computer Science, or equivalent practical experience.
• 5+ years of relevant experience, with a proven track record of delivering large-scale projects and collaborating across cross-functional teams.
• Deep knowledge of Linux, including command-line usage, driver architecture, and Linux kernel internals.
• Hands-on experience with board bring-up, device drivers (I2C/I3C, SPI, PCIe, SMBus, Mailbox, etc.), and device tree development for U-Boot and the Linux kernel.
• Proficiency in C/C++ programming, along with scripting experience in Python and/or Bash.
• Strong communication and collaboration skills, with the ability to work effectively in dynamic environments and translate technical requirements and challenges into actionable solutions.
• Ability to work independently, manage multiple priorities, and adapt to changing business needs.

Preferred Qualifications:

• Deep expertise in system software, with strong debugging and problem-solving skills, and the ability to quickly learn and apply new technologies.
• Strong understanding of server architecture, platform management, and data center technologies.
• Passion for building ecosystems and bridging the gap between engineering teams, customers, partners, and the open-source community.

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Responsibilities:

• Crafting efficiency and usability improvements across NVIDIA proprietary products that will help streamline various release pipelines and processes across NVIDIA.
• Developing deployment tools using NVIDIA proprietary and other innovative technologies to improve deployment speed and reliability.
• Definition and development of SDKs to be used for DPU SW development.
• POC of new technologies that require additional development/integration efforts.
• Creating and maintaining build system for complex SW products.
• Developing tools using various NVIDIA proprietary and other brand new technologies.
• Collaborate with team members, Architects, design, QA teams, and verification.

Requirements:

• B.Sc. or equivalent experience in Computer Science, Computer/Software Engineering or related field.
• 4+ years work experience in a software development.
• Strong programming skills in Python, Go, and Bash.
• Strong understanding of Linux and networking.
• Solid expertise in Linux build systems, encompassing RPM and Makefiles.
• Experience with Docker, Ansible, and Jenkins pipelines.
• Proven object-oriented programming skills and design patterns.
• Motivated, responsive, and keen on process improvement.
• Excellent Analytical, debugging, and problem-solving skills.

Ways to stand out from the crowd:

• Experience with bootloaders.
• Contribution to open-source projects.
• Experience working with SoC.
• Familiar with other SDK such as CUDA SDK.
• Strong interest towards groundbreaking technologies and ability to take initiatives and drive them across multiple functional teams.

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 13, 2026.

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As a Senior Robotics Software Engineer, you will be responsible for writing algorithms that ingest raw data from multiple onboard sensors and fuse them into a single, highly accurate picture of the world. You will also help build the protocols that allow multiple physical robots to share tracking data, coordinate search patterns, and achieve 'effects at mass' as a cohesive swarm.

The ideal candidate will have a strong math/algorithms foundation, be familiar with writing application-level software that runs onboard physical systems, and have experience with electrical sensor integration. You should also be proficient in C++, Rust, and Python, and have a good understanding of modern build tools like Nix.

_a key responsibility is to write highly optimized, low-latency code that runs onboard Linux-based compute modules on multi-domain unmanned systems._

_We use Nix for deterministic, reproducible builds and deployment on our hardware platforms, alongside C++, Rust, and Python._

_The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations._

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Your expertise will be instrumental in the deployment, maintenance, and resilient support of highly sophisticated network architectures that underpin our global operations and innovative technologies. You will navigate complex environments spanning on-premises data centers, corporate office environments, and leading cloud platforms, ensuring optimal performance, security, and reliability across our critical systems.

This role requires a proactive administrator capable of identifying operational efficiencies and troubleshooting complex issues within critical network infrastructure, contributing significantly across four major functions: Monitoring and Incident Management, Deployment, Operations, and Tooling / Automation.

**Key Responsibilities:*

• Network Deployment & Maintenance: Deploy, configure, and maintain robust network infrastructure across Anduril's corporate and production environments, including new offices, data centers, and critical operational sites.
• Network Security & Optimization: Implement, manage, and optimize existing network solutions for corporate environments, focusing on security, performance, and reliability, including advanced routing protocols like BGP and modern datacenter architectures such as spine-leaf.
• Network Operations & Performance: Maximize network performance through ongoing monitoring, proactive troubleshooting, and root cause analysis.
• Monitoring & Incident Management (Network Focus): Operate and continuously refine network monitoring and alerting solutions, ensuring comprehensive visibility into overall network health.
• Network Tooling & Automation: Utilize and support the development of automation scripts and tools (e.g., Python, Bash, Ansible, Terraform) to streamline network operations, enforce configurations, and reduce manual effort.
• Documentation & Inventory: Maintain and update comprehensive documentation of the network topology, infrastructure services, cabling diagrams, IP address allocations, IP routing/switching configurations, and all network infrastructure inventory.
• Procurement & Collaboration: Procure network equipment, manage subcontractors involved with network installations, and collaborate with engineering and telecom/LV teams to scope and plan network hardware needs.
• On-Call Support & Travel: Provide regular on-call support for network issues within a rotating schedule. Travel to remote site locations to evaluate requirements and perform network hardware installs and upgrades.

Requirements:

• Minimum of 4+ years of hands-on experience as a Network Administrator, Network Engineer, or equivalent role in a production environment.
• Solid experience with vendor-agnostic network switching, routing, and wireless technologies.
• Hands-on experience with network security technologies, including configuring and managing stateful firewalls (specifically Palo Alto Networks, and Panorama), ACLs, and basic traffic monitoring (Taps/SPAN).
• Proficient technical knowledge of routing protocols (e.g., OSPF, BGP), Layer 2/3 switching, VLANs, VRFs, DNS, and QoS, with familiarity with modern datacenter designs like spine-leaf.
• Experience using network monitoring and packet analysis tools (e.g., Wireshark, SNMP, NetFlow) to maintain network health and troubleshoot issues.
• Familiarity with network automation tools and basic scripting (e.g., Python or Bash) to assist with routine configuration and management tasks.
• Familiarity with host-based networking configurations across Windows, MacOS, and Linux operating systems.
• Strong troubleshooting skills with the ability to diagnose and resolve common network issues.
• Experience utilizing enterprise ticketing systems to manage and prioritize a personal ticket queue.
• Good documentation skills and clear verbal and written communication skills for collaborating with technical team members and end-users.
• Ability to travel for remote deployments when required, and participate in a weekly on-call rotation.

Preferred Qualifications:

• Experience with cloud networking (AWS, Azure, GCP) in secure or isolated environments.
• Relevant industry certifications (e.g., CCNA, CCNP, Palo Alto PCNSE, JNCIS, JNCIP).
• Experience with a variety of network vendors (e.g., Cisco, Aruba, Arista, Juniper, PaloAlto).
• Familiarity with Infrastructure-as-Code tools (e.g., Terraform, Ansible) for network configuration management.
• Experience in a Zero Trust or BeyondCorp environment.
• Competence with testing tools and procedures for voice and data circuits.
• Experience with high-density wireless deployments and advanced RF optimization techniques (e.g., predictive modeling, site surveys, spectrum analysis).
• Familiarity with enterprise-grade wireless security solutions including 802.1X authentication, Guest portals, and Network Access Control (NAC) integration for both wired and wireless devices.

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Key Responsibilities:

• Maintain ownership of test activities in production and ensuring production test flow.
• Provide hands-on troubleshooting efforts and resolve complex electrical issues found during testing.
• Maintain test capabilities across the manufacturing value stream - from system level checkouts and acceptance testing to key component level in process validation.
• Improve and sustain existing test systems to improve automation, consistency, total cycle time, and test coverage (DfM).
• Improve and sustain test work instructions that can be easily followed by technician team in MES. Train technicians on equipment use as required.
• Develop library of common failure modes with troubleshooting guide/diagrams for fast issue resolution.
• Determine root cause of product failures and recommend appropriate corrective actions (RCCA).
• Work with Design, Quality and Manufacturing Engineering teams to support customer returns and failure analysis.
• Analyze test data, document results, and provide detailed reports to identify defects and areas for improvement.
• Collaborate with design engineers to provide feedback and recommendations for product enhancements based on test outcomes.
• Optimize test strategies for efficiency and effectiveness, reducing test time without compromising quality.
• Maintain and calibrate test equipment to ensure precision and reliability.
• Support continuous improvement initiatives by identifying opportunities to enhance testing processes and methodologies.
• Execute testing as required.

Requirements:

• Bachelor’s degree in Electrical/Electronics, Computer, Mechanical Engineering, or related fields.
• 8+ years of relevant industry experience with emphasis on manufacturing test and product sustainment.
• Familiarity with Linux, Ubuntu, Python, and NixOS.
• Familiarity with electronics test equipment such as power supplies, electronic loads, oscilloscope, function generators, spectrum analyzers, data acquisition and measurement sensors.
• Strong root cause analysis skills of non-conforming hardware.
• Experience with hands on system troubleshooting.
• Excellent written, verbal, interpersonal and communication skills.
• Familiar with Product Life Cycle (PLM) systems, Manufacturing Execution Systems (MES), and Test Execution Systems (TES).
• Experience with computer hardware communication protocols: USB, Ethernet, RS232, RS485, PCIe, HDMI, CAN, etc.
• Experience working on projects that involve the integration of electrical, mechanical, and software/firmware systems.
• Experience with MES system integration.
• Eligible to obtain and maintain an active U.S. Secret security clearance.

Preferred Qualifications:

• Pursuing a Master’s of Science in Electrical Engineering, Electronics Engineering Mechanical Engineering, Computer Science or related field.
• Familiarity with Python, LabVIEW and/or MATLAB for data parsing and data visualization.
• Experience with test automation, PCBA design, and mechanical design.
• Experience with contract manufacturers in the testing of PCBA/electronic assemblies. Thorough knowledge of PCBA testing standards and methods.
• Experience with ESS-related testing (Thermal, Vibration, etc.).

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As a Manager, Enterprise Security Engineering, you will lead a high-performing team of security engineers, set technical direction, and establish clear standards for engineering excellence and ownership. You will partner in hiring, performance management, and career development, define and execute the security roadmap for infrastructure, remote access/ZTNA, endpoint, and M&A, and design and implement security controls across cloud, production, and corporate infrastructure.

Required qualifications include the ability to work autonomously, take ownership of projects, and collaborate across teams, demonstrated ability to translate ambiguous requirements into clear technical roadmaps and delivered outcomes, have participated in or supported incident response events, strong programming ability in one or more general-purpose languages, experience with one or more infrastructure as code languages, and experience conducting security architecture or design reviews around custom business applications.

Preferred qualifications include experience building bespoke solutions in high-growth and high-complexity environments, experience with AWS, Azure, or GCP security ecosystem and tooling, and strong experience with Linux operating systems.

The salary range for this role is $129,000-$220,000 USD, and highly competitive equity grants are included in the majority of full-time offers.

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You will own the hot path - real-time feature computation, signal generation, and Integration with the firm's shared execution and market data platforms - and play a foundational role in shaping the technology stack from day one.

This is a hands-on role at the intersection of systems engineering and quantitative research. You will work directly with the Portfolio Manager and quantitative researchers to translate alpha signals into production-ready, high-performance trading systems.

Principal Responsibilities:

• Design and build the core C++ signal engine: real-time feature computation, alpha signal generation, position tracking, and risk monitoring

• Architect the data bridge between the C++ hot path and the Python/Polars research layer

• Implement and optimize real-time alpha signal publication from the research pipeline into the firm's shared execution infrastructure

• Integrate with the firm's central market data feeds and execution platforms

• Develop real-time risk checks, position monitoring, logging, and alerting infrastructure

• Optimize system performance: latency profiling, lock-free data structures, memory management, and network tuning

• Collaborate closely with quantitative researchers to understand strategy requirements and translate prototypes (Python) into production-grade C++ code

• Leverage Al-assisted development tools (Cursor, Claude Code) to accelerate development velocity while maintaining code quality

• Build and maintain backtesting and exchange simulation infrastructure for strategy validation

Required Skills / Qualifications:

• Bachelor's or Master's degree in Computer Science, Mathematics, Physics, Engineering, or a related quantitative field

• 3+ years of hands-on experience developing high-performance C++ server-side applications in Linux

• Strong understanding of real-time and event-driven architectures with tight latency requirements

• Proficiency in Python with working knowledge of Polars, Pandas, NumPy, and the PyData ecosystem

• Deep familiarity with Apache Arrow and columnar data formats for cross-language interoperability

• Strong understanding of network programming, Linux OS internals, and systems optimization

• Experience consuming real-time market data feeds and integrating with shared execution platforms

• Solid understanding of data structures, algorithms, and concurrent/multithreaded programming

• Proficiency with Git, CI/CD, unit testing, and software engineering best practices

Preferred Skills / Experience:

• Experience building trading systems in a systematic equities or quant trading environment

• Familiarity with low-latency optimization techniques: cache-friendly data structures, SIMD, memory-mapped I/O

• Experience with Rust for performance-critical systems development

• Experience with kdb+/q for time-series data

• Knowledge of equity market microstructure, order types, and execution algorithms

• Experience with DuckDB, Arrow Flight, or similar analytical database technologies

• Familiarity with cloud infrastructure (AWS) and containerized deployments

Millennium offers a total compensation package which includes a base salary, discretionary performance bonus, and comprehensive benefits. The estimated base salary range for this position is $150,000 to $200,000, which is specific to New York and may change in the future.

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Key Responsibilities:

• Strong C++ programming skills
• Good Linux and Windows development & debugging experience
• Good Experience on Design Patterns, STL
• Experience with Visual Studio
• Ensure timely deliveries with agreed quality of all the tasks undertaken by the team

Requirements:

• Minimum 5-8 years’ experience overall with core experience in C++
• Expertise in the full software/project life cycle, including specifications, requirements analysis, design/architecture, implementation, testing, and maintenance
• Experience with Git/SVN/Perforce or other configuration management systems
• Good Experience on code quality and code coverage tools
• Good Experience on JIRA or other defect tracking system

Preferences:

• Gaming Experience
• Hands on Slot development experience

Why Aristocrat?

Aristocrat is a world leader in gaming content and technology, and a top-tier publisher of free-to-play mobile games. We deliver great performance for our B2B customers and bring joy to the lives of the millions of people who love to play our casino and mobile games. And while we focus on fun, we never forget our responsibilities. We strive to lead the way in responsible gameplay, and to lift the bar in company governance, employee wellbeing and sustainability. We’re a diverse business united by shared values and an inspiring mission to bring joy to life through the power of play.

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We are looking for experienced C++ Software Engineers who are passionate about developing robust C++ code basis the requirement specifications, to develop high impact casino games for our global customers.

Key Responsibilities

• Strong C++ programming skills
• Good Linux and Windows development & debugging experience.
• Good Experience on Design Patterns, STL
• Experience with Visual Studio
• Ensure timely deliveries with agreed quality of all the tasks undertaken by the team.
• Good Experience on Design Patterns, STL
• Experience with Visual Studio
• Work with Sr. Management to accomplish business goals.

Requirements

• Minimum 5-8 years’ experience overall with core experience in C++;
• Expertise in the full software/project life cycle, including specifications, requirements analysis, design/architecture, implementation, testing, and maintenance
• Experience with Git/SVN/Perforce or other configuration management systems
• Good Experience on code quality and code coverage tools.
• Good Experience on JIRA or other defect tracking system
• Excellent verbal and written communication skills and the ability to work in a fast-paced team environment

Preferences

• Gaming Experience
• Hands on Slot development experience

Why Aristocrat?

Aristocrat is a world leader in gaming content and technology, and a top-tier publisher of free-to-play mobile games. We deliver great performance for our B2B customers and bring joy to the lives of the millions of people who love to play our casino and mobile games. And while we focus on fun, we never forget our responsibilities. We strive to lead the way in responsible gameplay, and to lift the bar in company governance, employee wellbeing and sustainability. We’re a diverse business united by shared values and an inspiring mission to bring joy to life through the power of play.

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Responsibilities:

• Define, develop, implement, and support ATE test program solutions for NV advanced chips.
• ATE test method code development and debugging.
• Scripting and automation tools development and debugging.
• Actively participate in cross-function team including Product Development Engineering, DFT, and IC design to efficiently debug any product failures and implement optimal solutions.

Requirements:

• Bachelor's degree or higher in Electrical Engineering/Computer Engineering (or equivalent experience).
• 5+ years of relevant work experience in the semiconductor industry.
• Knowledge of silicon verification, testing, and manufacturing.
• Knowledge of Silicon Photonics, CPO, and optical engine and high-speed IO.
• Have knowledge in Advantest 93K ATE platform is essential.
• Experienced with Linux, and programming languages such as C/C++/Java and/or Perl/Python.
• Good communication skills and works well in a group environment and with cross-functional teams that span across continents.
• Experience with SRAM testing and familiarity with 2.5D or MCM assembly.
• Understanding of DFT insertion techniques including SCAN, ATPG, MBIST, and IOBIST.
• Knowledge of system-level testing/validation is a plus as well as utilizing the AI in ATE testing is a plus and make you standout.

With competitive salaries and a generous benefits package, we are widely considered to be one of the technological world's most desirable employers; we have some of the most forward-thinking and hardworking people in the world working for us and, due to unparalleled growth, best-in-class teams are rapidly growing. If you're creative and autonomous with a real passion for your work, we want to hear from you!

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 12, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

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Responsibilities:

• Plan and build complex cluster and supercomputers in various data centers and labs
• Rack stack and cable management to ensure efficient use of space and easy maintenance
• Ensure data centers and labs power and cooling efficiency while optimizing rack space utilization
• Data centers and labs daily operation and support
• Installations for variety of infrastructure and solutions - Cloud, VMs, Storage, Network, HPC and AI
• Perform troubleshooting - network, optic cabling, bare metal, operating system
• Support Research & Development activities

Requirements:

• MCSE or MCITP/CCNA certification
• 3+ years of experience as lab manager
• Experience in supporting large and complex data centers
• Proven hands-on experience in Linux troubleshooting with good problem identification, resolution and solving skills
• In-depth knowledge in Linux & Windows Core Services: DHCP, DNS, NIS, AD, etc.
• Team Work, Service oriented, organized

Nice to Have:

• Scripting experience in Bash and/or Python
• Experience with configuration managements tools known in the community (e.g. Ansible, puppet)
• CI & Known Job schedulers tools (e.g. Jenkins, SLURM)
• Virtualization: KVM / VMware / Hyper-V
• Experience with L2 & L3 network protocols

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

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As an Automation engineer in the DOCA SDK Group, you will apply your knowledge and expertise in automation to create, enhance, and maintain our DPU communication solutions:

• Develop tools and automation infrastructure to deploy testing on new systems and platforms, including multiple Operating Systems and architectures (x86, ARM, Ubuntu, Centos, Windows etc.)

• Build tools and infrastructure to visualize and analyze the tests information

• Come up with new insights and approaches to solve sophisticated problems

Requirements:

• B.Sc. in Computer Science

• 3+ years of Experience in automation infrastructure

• Strong Python programming, debugging skills, analytical and problem-solving skills!

• Excellent communications skills, fluent English, self-motivated and well organized

• A teammate with a can-do attitude, high energy and excellent interpersonal skills

Preferred qualifications:

• Knowledge with Linux

• Prior experience in operating systems

• Knowledge in SW programming, embedded SW, networking

• Experience developing AI pipelines

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Responsibilities:

• End-to-end responsibility for major features in user space and kernel applications
• Maintain and enhance storage Linux Kernel drivers
• Participate in enhancing our cutting-edge technology storage solutions
• Work with partners and customers worldwide
• Drive performance tuning, usability improvements, and test automation

Requirements:

• Degree in Computer Science or Electrical Engineering
• 2-5 years of experience in c/c++ language
• Experience in Linux
• Self and quick learning abilities
• Excellent social and written communication skills

Nice to Have:

• Experience in storage or file-system products
• Experience in RDMA
• Background in networking and PCI

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Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase.

You'll join a high-performing team of engineers driving AI transformation at Coinbase as a Staff Site Reliability Engineer on the IT Operations team. This team builds and scales the infrastructure powering Coinbase's AI products, with direct exposure to senior leadership in a fast-paced, incubator-style environment.

You'll own the reliability and automation of critical AI infrastructure, ensuring our systems are resilient, observable, and secure at scale.

Responsibilities:

• Own the reliability, monitoring, and incident response lifecycle for AI infrastructure services, including on-call support for AWS deployment pipelines, root cause analysis, and blameless retros.
• Build automation and tooling to streamline operational IT workflows, eliminate manual tasks, and improve deployment velocity across CI/CD frameworks and Kubernetes environments.
• Partner with the Coinbase Infrastructure team to extend CI/CD frameworks supporting IT services and enterprise network platforms, and with Security and Compliance to integrate surveillance tooling into deployment pipelines.
• Strengthen observability and documentation standards across IT engineering by defining metrics, implementing monitoring solutions, and maintaining technical documentation that sets a standard of excellence.
• Develop full-stack applications that power internal AI products and infrastructure with Go or Python.

Nice to haves:

• Expertise with linux, bash, ruby, python and/or go
• Expertise automating EC2 or containers deployment with terraform
• Strong network security fundamentals
• Experience managing and leveraging log aggregation
• Experience working in a highly regulated environment
• Experience in a fast-paced, high-growth company
• Experience in a Remote-first IT environment

Position ID: P76834

Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)).

Annual base salary range (excluding equity and bonus):

$218,025-$256,500 USD

Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying.

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As a technical documentation specialist, you will create and update technical documentation and user guides in DITA XML using Oxygen XML Editor, following Synopsys standards and building doc packages with standard templates. You will collaborate with product teams and subject matter experts to gather input, validate technical accuracy, and ensure all documentation is current and ready for scheduled releases.

The ideal candidate will have a strong understanding of Linux and Windows operating systems and how to work across both. You will have solid proficiency in Python or Perl for scripting and automation, experience with continuous integration tools such as Teamcity or Jenkins, and proficiency with source control management systems like Perforce and Git.

You will be comfortable working independently with minimal supervision, but you will also know when to pull in help or escalate an issue. You will have an eye for detail, whether it is catching a misconfiguration in a build script or spotting a grammar issue in a technical doc before it ships.

At Synopsys, we offer a comprehensive benefits package, including health and wellness programs, time away, family support, ESPP, and retirement plans.

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The engineer serves as a key cross-functional partner, working closely with Engineering, Supplier Quality, Manufacturing, and Customer Support to build systemic solutions , not just fix individual issues. Their influence extends across the supply chain, with direct accountability for contract manufacturer quality oversight and pre-release hardware validation.

As a senior contributor, this engineer brings strong reliability engineering fundamentals and advanced statistical expertise, augmented by AI-assisted analytics to accelerate insight generation, identify failure patterns at scale, and drive more precise, data-driven decisions. The outcome: more robust products, fewer field returns, and a better experience for the end customer.

Responsibilities:

• Lead and execute design qualification activities to ensure the quality and reliability of new hardware products during development
• Oversee reliability assessment programmes for products in mass production
• Collaborate with globally distributed quality teams to ensure product quality and reliability standards are met
• Partner with engineering teams to develop and implement solutions that enhance product quality
• Establish, maintain, and continuously improve quality processes for consistent and predictable outcomes
• Drive ongoing improvements in hardware quality and reliability coverage, accuracy, methodologies, and turnaround time
• Travel locally and internationally to support qualification and quality-related activities
• Coach team members on reliability principles, statistical analysis, and qualification processes
• Manage third-party reliability labs, including personnel and operations
• Work closely with cross-functional teams and external partners to ensure successful product qualification against defined milestones
• Contribute to product knowledge development, reliability modelling, and continuous quality enhancements
• Collaborate effectively with partner organisations and resolve conflicts where necessary
• Demonstrate strong verbal and written communication skills, including active listening

Pre-Requisites:

• Bachelor's Degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, or a related discipline.
• Minimum 5 years of experience in a senior reliability engineering role, preferably within the consumer electronics or technology industry.
• Hands-on experience supporting Intel-based desktop, notebook, tablet, and computer peripheral products within a manufacturing environment.
• Strong knowledge of environmental and reliability testing standards, methodologies, and tools.
• Experience implementing, maintaining, or managing Quality Management Systems (QMS) and related quality processes.
• Solid understanding of system reliability, failure mechanisms, life data analysis, and quantitative accelerated life testing techniques.
• Familiarity with experimental design methodologies and statistical analysis concepts.
• Strong technical troubleshooting and integrated problem-solving capabilities.
• Excellent organisational, stakeholder management, and interpersonal skills, with the ability to collaborate effectively across multiple cross-functional teams.
• Proven leadership experience with the ability to positively influence stakeholders and drive outcomes.
• Strong analytical thinking, sound judgement, and a proactive, results-oriented mindset.
• Experience working in Linux, Windows, or PC-based environments, with proficiency in office productivity and automation tools considered an advantage.
• Excellent verbal communication skills and the ability to perform effectively in a fast-paced, dynamic environment.

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What you'll be doing:

• Design, build, and operate the infrastructure backbone powering AI inference products , reliable, performant, and scalable at every layer!

• Own Kubernetes deployments end-to-end across cloud and on-prem: runbooks, canary checks, post-deploy validation, and rollbacks when needed.

• Architect CI/CD pipelines for automated build, test, packaging, and release of inference libraries and their container-based software stacks.

• Build observability that actually tells the truth about platform health , dashboards, logs, metrics, automated checks , and lead first-level incident triage with clean, actionable handoffs to engineering.

• Manage cloud and on-prem environments with infrastructure-as-code (Terraform, Ansible, Helm, Crossplane), and chip away at toil using GitHub Actions, GitLab CI, and custom tooling.

• Own the security posture for infrastructure components: vulnerability scans, CVE remediation, and compliance with internal policies.

• Collaborate closely with deep learning framework engineers, compiler teams, and platform architects to streamline end-to-end deployment!

What we need to see:

• BS/MS in CS/CE or equivalent experience, plus 7+ years operating production distributed systems (SRE / DevOps / Platform Ops).

• Deep Kubernetes expertise , components, subsystems, on-prem setup, and hands-on debugging of telemetry-heavy microservices across AWS, Azure, GCP, and on-prem.

• Strong CI/CD chops (GitLab CI, GitHub Actions), Git-based workflows, Linux systems programming, and scripting in Python and Bash.

• IaC fluency (Terraform, Ansible, Helm, Crossplane) and containerization depth (Docker, containerd, OCI).

• Proven reliability ownership , SLOs/SLIs, on-call, incident response, and post-incident reviews that drive measurable improvements , backed by hands-on experience with observability stacks like Prometheus, Grafana, and Loki.

• A clear communicator who writes runbooks people actually use!

Ways to stand out from the crowd:

• MLOps experience , crafting, deploying, and operating machine learning pipelines end to end.

• Experience in open-source development workflows and community engagement on projects like Triton Inference Server or ONNX Runtime.

• Familiarity with GPU software stacks , CUDA, cuDNN, TensorRT, and inference serving frameworks.

• Experience building custom test automation frameworks and using data-driven metrics to improve platform health and developer efficiency.

• Demonstrated ability to debug complex issues spanning kernel modules, container runtimes, and distributed networking.

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The NVIDIA System Product Team is looking for curious, collaborative, and motivated hardware engineers to take our GPU memory subsystem from first silicon power-on to production.

Responsibilities:

• Hands-on leadership of HBM/GDDR enablement, validation, and failure analysis for NVIDIA's datacenter and graphics products.

• Drive review of memory partner's design limits and test methodology. Integrate learnings into unique characterization and test plans for each memory generation.

• Apply understanding of controller design, board design, and DRAM design to define and refine characterization, validation, and POR set methodologies.

• Work closely with memory partners to successfully enable memory into production.

• Work cross-functionally with multiple hardware design and software teams.

• Guide product level decisions for the memory subsystem that span ASIC/VLSI/Board/ATE.

Requirements:

• Masters or higher in Electrical engineering (or equivalent experience).

• 10+ years of relevant hands-on experience in high-speed DRAM design and test.

• Broad comprehension of ASIC design, mixed signal design, and power/signal integrity concepts.

• Strong fundamentals in science, engineering, and data analysis.

• Very comfortable being hands-on with hardware and software.

• Working knowledge of Linux, scripting, programming, computer systems, and data analysis methods.

You will also be eligible for equity and benefits.

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locationsIsrael, Tel Aviv

time typeFull time

posted onPosted Today

job requisition idJR2018944

We are looking for an excellent Firmware Engineer to join the Firmware team. The NVIDIA Firmware team develops groundbreaking networking features for AI, cloud, HPC and storage. We drive the data growth of the world’s biggest companies. With many hardworking engineers around the globe, the work environment is complex, results-oriented and fast paced. You will learn how a big software project is operated, maintained, qualified and released, and how Hardware and Firmware are developed.

Responsibilities:

• Work closely with the architecture and different software and hardware design teams.

• Implement new features for NVIDIA NIC and Switch firmware.

• Develop verification tests for advanced features in a highly complex and sophisticated Firmware testing environment.

• Collaborate with multi-functional teams including chip design, board designers, Silicon, SW and program managers to debug any FW/validation issues.

• Heavily involved with the early modeling and simulation required to produce our outstanding products including schematic and layout reviews on next generation board designs.

Requirements:

• University Bachelor's or master's Degree in Electrical/Computer Engineering, or equivalent experience.

• Prior 4+ years of experience in Firmware.

• Strong C/C++ and OOP capabilities.

• Excellent Data analysis, debugging and problem-solving skills.

• Strong understanding of digital design, computer architecture, Linux, drivers and CPU/GPU/SOC architecture.

• Strong analytical, debugging and problem solving skills.

• Motivated and independent with strong communication skills.

Ways to stand out from the crowd:

• Coding and automation skills in scripting languages like Python.

• Experience with RISCV architecture and verification.

• Ability to multitask and prioritize in a fast paced environment.

• Strong interpersonal and communication skills and ability to work effectively across different teams

• Hands-on lab experience with board bringup, lab debug and lab tools (oscilloscopes, multimeters, logic analyzers).

With competitive salaries and a generous benefits package (https://www.nvidiabenefits.com), we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!

NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry.

Learn more about NVIDIA.

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Perform system design reviews for data center applications to ensure partner designs meet NVIDIA guidelines.

Work on resolving system integration issues related to thermal, mechanical, electrical, PCIe and GPU interconnect interfaces including out-of-band management services.

Understand system design requirements for High Performance Computing and AI workloads to drive platform configuration guides for x86 and ARM servers.

Conduct the installation, configuration and bring-up of enterprise server hardware.

Work directly with our NVIDIA customers, and analyze data to answer questions, reproduce errors, resolve same, or escalate customer issues.

Be involved in customer interaction, customer communication via conference calls or face to face meetings

Familiarize yourself with performing hardware debug using oscilloscopes and analyzers to qualify, validate and solve NVIDIA products for customer systems.

Track and file new bugs, and reproduce issues as needed.

Create product specifications, hardware design guides, application notes, and other supporting technical collateral.

We are looking for someone who has superb interpersonal skills and who can understand, explain, and solve customer problems.

This position will focus on NVIDIA enterprise datacenter products in workstation and server applications.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 12, 2026.

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JOB DESCRIPTION: Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

ABOUT THE TEAM

The Connected Warfare division builds systems to support global command and control missions. We create joint, time sensitive, multi domain, ubiquitous, connected mesh ecosystems. Our ecosystem enables connected warfare with disproportional impact by connecting every robot, human, and sensor in every domain, bringing together hundreds of thousands of end points across the globe. We are the substrate that provides the source of truth for time sensitive decisions, effectively transforming the way that militaries close kills chains and enable mission autonomy. Our Edge Compute and Communications (ECC) business line, within the Connected Warfare division, delivers robust, high-performance computing and secure communications solutions directly at the tactical edge. By processing data in real-time and enabling decentralized decision-making, we empower warfighters with actionable intelligence, rapid connectivity, and unparalleled situational awareness in challenging environments. Tactical Intelligence Targeting Access Node (TITAN), produced by the ECC business line within the Connected Warfare division, is a scalable, next-generation expeditionary intelligence ground station designed to be the future Army intelligence, surveillance, and reconnaissance (ISR) data processing ground station.

ABOUT THE ROLE

As a Program manager for TITAN, you will play a critical role in ensuring the reliability and readiness of Anduril’s fixed-site and expeditionary asset control solutions. This position requires a strong problem-solving mindset and hands-on expertise in debugging and resolving complex compute hardware and software issues. If you are passionate about cutting-edge technology, advancing national security, and delivering best-in-class operational support, Anduril invites you to join the team.

WHAT YOU'LL DO

• Sustain Anduril's TITAN deployments by combining an understanding of our customers' missions with familiarity of our products and delivered capabilities
• Triage, diagnose, and root cause product incidents, driving postmortem actions including providing status visibility through resolution. Then abstract incidents and optimize wider system and product reliability. This will include conducting log reviews and diagnostics, as well as utilizing Linux and command line tools for system management and issue resolution
• Consistently assess, and seek to improve, the quality of the fleet's observability and health telemetry in partnership with multiple functions across the TITAN team
• Collect, organize, and analyze system failure data to define trends, drive proactive sustainment processes, and support resource allocation
• Support Anduril's global customers through proactive communications and detail-oriented execution. You will track and manage customer-facing incidents and concerns, ensuring timely response, mitigation, and communication of resolution
• Support the evaluation and improvement of product capabilities, analyzing customer communication and feedback for capability requirements, product performance indicators, and desired functionality
• Maintain awareness of current product specifications and bridge the gap in understanding between technical and non technical stakeholders
• Communicate and coordinate technical and non-technical efforts across multiple business, engineering, and sustainment functions, influencing decision making and driving action to maximize capability availability for end users

REQUIRED QUALIFICATIONS

• Demonstrated experience as a self-starter, able to find and resolve issues on your own
• Strong aptitude for problem solving in unstructured situations at the interface of hardware, software, and networking. Ability to drive challenging and vague technical problems to clarity and resolution
• Proven ability to master a technical system and support it in operational environments. Must demonstrate an innate drive to be self-sufficient across the depth and breadth of a technical system
• Confident with navigating ambiguity and crafting new ways of doing things
• Excellent written, visual, and verbal communication skills
• Travel as required to support customer needs and operations (50%-75%)
• Active Top Secret clearance

PREFERRED QUALIFICATIONS

• Experience supporting and/or operating compute-enabled communications systems, including electronic warfare domain experience, as a DOD employee, contractor, or end-user
• Experience supporting and/or performing incident driven workflows requiring analysis, triage, prioritization, and reporting
• Experience in on-call support operations and working in limited risk tolerance environments
• Experience executing sustainment and reliability processes for a defense-focused service or product
• Experience contributing to data analytics to inform business decisions
• Experience with observability tooling such as Grafana and exposure to software development tooling such as Git and Jira
• Military, DOD, or other Government agency experience preferred
• Willingness to work non-standard hours and weekends as needed
• STEM degree, preferably in computer science, software engineering, electrical engineering, information technology, or similar
• 2+ years of technical support, IT, or software development work experience
• Applicable industry certifications (e.g. CompTIA Network+, CCNA, Linux+)
• Active TS/SCI clearance

Benefits

At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits.

Protecting Yourself from Recruitment Scams

Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:

• No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.
• Please always verify company information before sharing any personal data or sending money.

Anduril is an equal opportunity employer and welcomes applications from diverse candidates.

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As a Staff R&D Engineer, you will design, develop, and maintain core components of StarRC, the industry gold standard parasitic extraction tool used across leading semiconductor companies. You will build and refine capacitance models that enable accurate extraction for advanced technology nodes, often before the competition catches up.

You will develop next-generation parasitic extraction algorithms focused on runtime reduction, memory efficiency, and capacity improvements for increasingly complex designs. You will write and enhance Python or Tcl scripts to analyze large datasets, identify performance bottlenecks, and apply machine learning techniques to optimize extraction flows.

You will collaborate directly with domain experts in electromagnetics, circuit modeling, and verification to solve tough technical problems that span multiple disciplines. You will debug complex issues in a large C++ codebase, trace problems across modules, and deliver fixes that improve tool stability and accuracy.

The impact you will have is significant. You will keep StarRC at the leading edge of parasitic extraction technology, directly influencing how the world's most advanced chips are designed. You will enable semiconductor companies to adopt new process technologies faster by delivering accurate models and extraction flows ahead of industry timelines.

You will reduce customer runtime and memory usage by double-digit percentages, translating to real cost savings and faster design cycles for chips powering AI, automotive, and mobile devices. You will push the boundaries of what is possible in EDA by integrating machine learning and optimization techniques into production-grade extraction tools.

You will improve the reliability and accuracy of a tool that thousands of engineers depend on daily for tape out-critical work. You will shape the future of electronics by contributing to the software infrastructure that makes next-generation semiconductor design feasible.

To succeed in this role, you will need to have a strong foundation in C++ programming, with experience building and debugging performance-critical software in large codebases. You will also need to have a solid understanding of data structures, algorithms, and software development processes, including version control, testing, and code review.

Experience working in a Linux environment and comfort with scripting languages like Python, Tcl, or Perl for automation and analysis is also required. A background in numerical mathematics, optimization, machine learning, or computational electromagnetics is a strong plus, especially as applied to EDA or physical modeling problems.

You will be a proactive and collaborative team player, detail-oriented with strong problem-solving skills. You will be passionate about learning and applying new technologies. You will be an effective communicator with the ability to convey complex technical concepts clearly.

You will be adaptable and able to thrive in a fast-paced, dynamic environment. You will be committed to delivering high-quality results and meeting deadlines.

In return, you will have the opportunity to work on cutting-edge technology, collaborate with a talented team, and contribute to the development of a leading-edge tool.

You will also have access to a comprehensive range of health, wellness, and financial benefits, including comprehensive medical and healthcare plans, time away programs, family support, ESPP, retirement plans, and competitive salaries.

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This is a hybrid role, required onsite 3 days per week at the client’s location in Auburn Hills, MI.

Responsibilities:

• Oversee the design and development of 55+ sites and the Data Center network.
• Advances functionality within the network automation, simulation, and automated validation solutions (Ansible / NetMiko / Terraform / Python / Cisco CML / GNS3 etc)
• Ensures the lifecycle of network infrastructure is maintained and optimized. This starts with determining the design, collecting requirements, and proposing a solution and continues to ensure that regular operational tasks like patching are done leveraging best methods like automation, culminating with ensuring the hardware is replaced through a managed end of life process.
• Drives a continuous improvement process to identify opportunities to eliminate waste and improve processes
• Informs management of critical issues that may affect clients or the infrastructure and provides recommendations for mitigation.
• Works with network product vendors and other Enterprise Architects and Network Team Leads to implement network improvements, and new data network products and technology.
• Involved in a wide range of issues including electronic data traffic, network security, domain name servers, network load balancing, virtual private networks, local area networks, wireless local area networks and firewalls.
• Analyze and understand the organisation's environment and architecture, proposing solutions to meet customer requirements
• Audit third-party providers for compliance with network support and implementation policies as needed.
• Maintains required documentation for all data network activities.
• Analyzes complex network issues within prescribed service levels.

Qualifications:

Education:

• Bachelor’s degree or equivalent real-life experience in Data Networking

Experience:

• Understanding of core networking processes and access control
• Cisco CCNP (Routing and Switching or Datacenter) and experience with Cisco Networks
• WAN Technologies (MPLS), Routing Protocols (BGP and OSPF) and supporting technologies (like BFD)
• Cisco CCIE – Enterprise Infrastructure (Desired)
• 7 plus years of network engineering and/or network architecture

Experience with each of the following preferred:

Network Automation Experience Ansible / Python / GNS3 Cisco ACI / Cisco DNACisco LAN, ISE, Wireless LAN & WAN technologies Broad experience in full stack support environment, able to troubleshoot problems affecting a variety of operating systems both server and workstation

Experience with any of the following desired:

• Palo Alto, FortiNet, Cisco ASA & FirePower firewalls
• Arista & Cisco Ethernet Switches
• Cisco & Juniper Routers
• Infoblox IPAM & DHCP
• Demonstrable hands-on knowledge of Cisco Networks, including Switches, Routers, Wireless, ISE
• Hands on knowledge of F5 Networks, Load balancer (LTM, GTM, Vipron).
• Hands on knowledge of WAN Optimization & SDWAN.
• Hands on knowledge of Infoblox, including Domain Name Server/ DHCP/ IPAM.
• Linux experience
• Hands on knowledge of NetScout and Wireshark to capture and interpret TCP/IP packets to identify problems in the network environment.

Percentage of required travel: up to 10%

This is a hybrid role, required onsite 3 days per week at the client’s location in Auburn Hills, MI.

Physical requirements:

• This job operates in an office environment. This role routinely uses standard office equipment such as computers, phones, cameras, photocopiers, and filing cabinets.
• Must be able to lift 15 pounds at times.
• While performing the duties of this job the employee is required to talk, hear, walk, sit, stand, climb stairs on occasion with prolonged periods of sitting at a desk and working on a computer.
• Must be able to effectively work and complete tasks in an open office/noisy environment.
• Must be able to sit for prolonged periods of time while traveling in a car or airplane.

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with MHP Americas, Inc. (i.e., H1-B visa, F-1 visa (OPT), or any other non-immigrant status).

At a Glance:

• MHP Americas, Inc. is a leading provider of automotive and mobility solutions, with a global presence and a portfolio of renowned brands.
• The company is headquartered in Auburn Hills, Michigan, and has a diverse workforce of over 10,000 employees worldwide.
• MHP Americas, Inc. offers a comprehensive benefits package, including medical, dental, and vision insurance, as well as a 401(k) retirement plan and paid time off.
• The company is committed to diversity, equity, and inclusion, and strives to create a workplace culture that values and respects the contributions of all employees.
• MHP Americas, Inc. is an equal opportunity employer and welcomes applications from qualified candidates of all backgrounds.

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xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organisation is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organisational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritisation skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.

ABOUT THE ROLE:

We are seeking a highly skilled Sr. Software Engineer to join our team in managing and enhancing reliability across a multi-data centre environment. This role focuses on automating processes, building and implementing robust observability solutions, and ensuring seamless operations for mission-critical AI infrastructure. The ideal candidate will combine strong coding abilities with hands-on data centre experience to build scalable reliability services, optimise system performance, and minimise downtime,including close partnership with facility operations to address physical infrastructure impacts. If you thrive in lightning-fast, distributed environments and are passionate about leveraging automation to drive efficiency, this is an opportunity to make a significant impact on our infrastructure's resilience and scalability. In an era where AI workloads demand near-zero downtime, this position plays a pivotal role in bridging software engineering principles with physical data centre realities. By prioritising automation and observability, team members in this role can reduce mean time to recovery (MTTR) by up to 50% through proactive monitoring and automated remediation, based on industry benchmarks from high-scale environments like those at hyperscale cloud providers. The primary objective of this team is to mitigate downtime and minimise impact to end-users from both scheduled and unscheduled maintenance, as well as events affecting onsite data centres. This is achieved through proactive automation, robust observability, and integrated software-physical reliability strategies, ensuring our AI infrastructure remains resilient, scalable, and at the cutting edge of innovation.

RESPONSIBILITIES:

• Design, develop, and deploy scalable code and services (primarily in Python and Rust, with flexibility for emerging languages) to automate reliability workflows, including monitoring, alerting, incident response, and infrastructure provisioning.

We value adaptability to new tools and paradigms in the fast-evolving AI space.

• Implement and maintain observability tools and practices, such as metrics collection, logging, tracing, and dashboards, to provide real-time insights into system health across multiple data centres,open to innovative stacks beyond traditional ones like ELK.
• Collaborate with cross-functional teams,including software development, network engineering, site operations, and facility operations (critical facilities, mechanical/electrical teams, and data centre infrastructure management),to identify reliability bottlenecks, automate solutions for fault tolerance, disaster recovery, capacity planning, and physical/environmental risk mitigation (e.g., power redundancy, cooling efficiency, and environmental monitoring integration).

This role encourages broad skill sets from diverse technical backgrounds to foster innovation.

• Troubleshoot and resolve complex issues in data centre environments, including hardware failures, environmental anomalies, software bugs, and network-related problems, while adhering to reliability principles like error budgets and SLAs.

Key Insight: By applying SWE rigor to troubleshooting, team members can create reusable diagnostic tools that accelerate resolution, turning unscheduled events (e.g., hardware faults) into opportunities for system hardening and reducing overall end-user impact through targeted SLAs that prioritise critical AI services. We seek versatile problem-solvers who adapt to bleeding-edge challenges.

• Optimise Linux-based systems for performance, security, and reliability, including kernel tuning, container orchestration (e.g., Kubernetes or emerging alternatives), and scripting for automation.
• Understand network topologies and concepts in large-scale, multi-data centre environments to effectively troubleshoot connectivity, routing, redundancy, and performance issues; integrate observability into data centre interconnects and facility-level controls for rapid diagnosis and automation.

Key Insight: In multi-site setups, network insights allow for automated failover mechanisms that handle both digital and physical disruptions, ensuring seamless continuity for end-users during events like fibre cuts or power outages. This attracts candidates from varied networking and systems backgrounds to drive forward-thinking solutions.

• Participate in on-call rotations, post-incident reviews (blameless postmortems), and continuous improvement initiatives to enhance overall site reliability, including joint exercises with facility teams for physical failover and recovery scenarios.

We prioritise growth-minded individuals who embrace evolving practices.

• Mentor junior team members and document processes to foster a culture of automation, knowledge sharing, and adaptability to new technologies.

BASIC QUALIFICATIONS:

• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a closely related technical field (or equivalent professional experience).
• 3+ years of hands-on experience in site reliability engineering (SRE), infrastructure engineering, DevOps, or systems engineering, preferably supporting large-scale, distributed, or production environments.
• Strong programming skills with proven production experience in Python (required for automation and tooling); experience with Rust or willingness to work in Rust is a plus, but strong coding fundamentals in at least one systems-level language (e.g., Python, Go, C++) are essential.
• Solid experience with Linux systems administration, performance tuning, kernel-level understanding, and scripting/automation in production environments.
• Practical knowledge of containerisation and orchestration technologies, such as Docker and Kubernetes (or similar systems).
• Experience implementing observability solutions, including metrics, logging, tracing, monitoring tools (e.g., Prometheus, Grafana, or alternatives), alerting, and dashboards.
• Familiarity with troubleshooting complex issues in distributed systems, including software bugs, hardware failures, network problems, and environmental factors.
• Understanding of networking fundamentals (TCP/IP, routing, redundancy, DNS) in large-scale or multi-site environments.
• Experience participating in on-call rotations, incident response, post-incident reviews (blameless postmortems), and reliability practices such as error budgets or SLAs.
• Ability to collaborate effectively with cross-functional teams (software engineers, network teams, site/facility operations, mechanical/electrical teams).

PREFERRED SKILLS AND EXPERIENCE:

• 5+ years of experience in SRE or infrastructure roles, ideally in hyperscale, cloud, or AI/ML training infrastructure environments with multi-data centre setups.
• Hands-on experience operating or scaling Kubernetes clusters (or equivalent orchestration) at large scale, including automation for provisioning, lifecycle management, and high-availability.
• Proficiency in Rust for systems programming and performance-critical components.
• Direct experience integrating software reliability with physical data centre infrastructure management.

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Responsibilities:

• Operative responsibility in problem management (incident management, problem management) in the office environment and/or on the production floor.
• Create and maintain Technology Architecture documentation for transparency
• Create and Maintain Procedure / Work Instructions
• Work with the client’s imaging framework to ensure proper staging, configuration, and recovery of respective hardware supporting key business processes
• Identify Automated Solutions which support business process maturity or improvement

Work Schedule: The Help Desk role will follow one of three possible schedules, which are still being finalized. The shifts include:

• 1st Shift: 8:00 AM – 5:00 PM, with weekend coverage from 7:00 AM – 7:00 PM
• 2nd Shift: 1:00 PM – 10:00 PM, with weekend coverage from 7:00 PM – 7:00 AM
• 3rd Shift: 10:00 PM – 7:00 AM, with weekend coverage from 7:00 PM – 7:00 AM

Qualifications:

• Education: Associates - Management Information Systems or related discipline preferred
• Experience: 3-6 years of professional work experience in related field
• Technical equipment – Troubleshooting / Setup / Configuration Skills (Scanners, Android based hand held, Windows Mobile/CE, IP based Cameras, Desk/laptop based PCs, Presentation Displays, Embedded system PCs)
• Linux, Windows (CE, XP, 7, 10)
• Microsoft Office Proficient (including Visio / OneNote)
• Monitor / Alerting Systems (eg. Solarwinds)
• Basic Network (IP Mgmnt, Switches, WiFi)
• ITIL Process Knowledge (Change/Problem Mgmt)
• Competence in Ticket / Work Order Management systems
• Asset management
• Presentation equipment
• Strong analytical skills.
• Strong written and verbal communication skills.
• Work under pressure
• Ability to work on multiple activities concurrently.
• Strong systemic thinking and problem solving skills.
• Experience in business process definition and validation.
• Ability to take a “client” focus when engaging with internal departments / customers.
• Strong technical skills.
• Works well as part of a team.

Desired Skills:

• Database interface / connection knowledge
• Windows Server (2010, 2012, 2016)
• SCCM Knowledge
• Acronis Image Management
• Power Shell Scripting
• Production: Version Dog

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with MHP Americas, Inc. (i.e., H1-B visa, F-1 visa (OPT), or any other non-immigrant status).

Experience Level: mid Employment Type: full-time Workplace Type: onsite Category: IT Industry: Automotive Salary Range: Not Stated Salary Min: 0 Salary Max: 0 Salary Currency: USD Salary Period: year Required Skills: [Technical equipment – Troubleshooting / Setup / Configuration Skills (Scanners, Android based hand held, Windows Mobile/CE, IP based Cameras, Desk/laptop based PCs, Presentation Displays, Embedded system PCs), Linux, Windows (CE, XP, 7, 10), Microsoft Office Proficient (including Visio / OneNote), Monitor / Alerting Systems (eg. Solarwinds), Basic Network (IP Mgmnt, Switches, WiFi), ITIL Process Knowledge (Change/Problem Mgmt), Competence in Ticket / Work Order Management systems, Asset management, Presentation equipment, Strong analytical skills., Strong written and verbal communication skills., Work under pressure, Ability to work on multiple activities concurrently., Strong systemic thinking and problem solving skills., Experience in business process definition and validation., Ability to take a “client” focus when engaging with internal departments / customers., Strong technical skills., Works well as part of a team.] Preferred Skills: [Database interface / connection knowledge, Windows Server (2010, 2012, 2016), SCCM Knowledge, Acronis Image Management, Power Shell Scripting, Production: Version Dog]

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Key responsibilities include:

• Advising on and helping maintain large-scale computational and AI infrastructure, including monitoring, logging, and workload orchestration (Kubernetes and Linux job schedulers).
• Providing consultative guidance and performing hands-on troubleshooting across the full stack,from bare metal and operating system, through the software stack, container platform, networking, and storage.
• Assessing customer environments and recommending optimized, production-ready Kubernetes-based container platforms integrated with enterprise-grade networking and storage solutions.
• Serving as a key technical resource: developing, refining, and documenting standard methodologies and operational guidelines to be shared with internal teams and customer stakeholders.
• Supporting Development activities and engaging in POCs/POVs to validate new features, architectures, and upgrade approaches.
• Creating and delivering high-quality documentation, including runbooks, onboarding materials, and best-practice guides for customers and internal teams.
• Acting as the technical leader for assigned customer accounts, providing strategic guidance on DevOps and platform architecture and influencing long-term infrastructure and operations decisions.

Requirements include:

• Education & Experience: BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields, with 5+ years of professional experience in managing scalable cloud environments and automation engineering roles.
• Cloud & HPC Expertise: Proven understanding of networking fundamentals, data center architectures, and hands-on experience managing HPC/AI clusters, including deployment, optimization, and troubleshooting.
• NVIDIA GPU Expertise: Demonstrated hands-on experience deploying, configuring, and optimizing NVIDIA GPU-accelerated infrastructure, including driver management, CUDA toolkit integration, and GPU workload profiling.
• Kubernetes & AI/ML Workloads: Extensive experience with Kubernetes for container orchestration, resource scheduling, scaling, and integration with GPU-accelerated and HPC environments.
• Hardware & Software Knowledge: Strong familiarity with HPC and AI technologies (CPUs, GPUs, high-speed interconnects) and supporting software stacks.
• Linux & Storage Systems: Deep knowledge of Linux (RedHat, Ubuntu), OS-level security, and protocols.
• Automation & Observability: Proficiency in Python and Bash scripting, configuration management, and Infrastructure-as-Code tools (e.g., Ansible, Terraform). Experience with observability stacks (Grafana, Loki, Prometheus) for monitoring, logging, and building fault-tolerant systems.
• Solution Architecture & Customer Engagement: Strong background in crafting scalable solutions and providing consultative support to customers, including leading architectural reviews and presenting to executive stakeholders.

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We tackle hard problems at scale through automation, Infrastructure as Code (IaC), configuration management, and purpose-built software that eliminates toil and improves reliability.

We're also a team that grows people as well as systems. If that challenge genuinely excites you, we'd love to hear from you.

What you will be doing

• Engineering software to automate large-scale systems , building internal tools and services, not just running scripts.

• Optimizing the reliability and lifecycle of hosts across multiple cloud providers.

• Strengthening our observability posture , crafting alerting and monitoring systems that drive incident prevention over incident response.

• Scaling global infrastructure and evolving the infrastructure management processes to meet growing demand.

• Contributing to code reviews, sharing your work, planning what we need to do next, and both mentoring and being mentored by teammates.

• Being part of a balanced SRE on-call rotation: responding to incidents, improving runbooks, participating in postmortems, and championing reliability improvements.

What you bring

• Experience building software with Golang. You are also comfortable reviewing others' code and offering constructive feedback.

• Production experience operating large-scale cloud compute (hundreds of hosts or more) via automated workflows.

• Deep experience with Linux systems , you are at home in the terminal debugging at the OS level.

• Proficiency working with containerized workloads in production.

• A customer-first, systems-thinking approach to operational problems , you care about root causes, not just symptoms.

• Comfortable working across time zones in both real-time and asynchronous contexts.

• You contribute clear and maintainable documentation such as software designs, runbooks, architecture diagrams/decisions, postmortems, etc...

• You communicate project status regularly and clearly, flag blockers early, and follow through on action items.

• A sensible approach to AI integration , identifying where AI tools genuinely reduce operational burden and embedding them into workflows without adding complexity.

Bonus Points

• Production experience with any of: Terraform, Puppet, Ansible, Argo CD, Argo Workflows, CUE, Docker, Kubernetes, Ubuntu, or Ubuntu Live Patch.

• Experience being on-call during incidents and using observability tools (e.g. Elastic Stack, Graphite, Prometheus, Influx) to diagnose issues, quantify impact, and confirm mitigations.

• Hands-on experience engineering solutions with the Elastic Stack.

Compensation

Compensation for this role is in the form of base salary. This role does not have a variable compensation component.

The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below.

These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future.

An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.

Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being.

The typical starting salary range for this role is:

$143,100-$175,000 USD

The typical starting salary range for this role in the select locations listed above is:

$143,100-$175,000 USD

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The ISSO will ensure systems remain compliant with applicable cybersecurity and RMF requirements while supporting secure operations, accreditation activities, continuous monitoring, and audit readiness.

Key responsibilities include:

• Managing day-to-day cybersecurity operations for SAP information systems and networks.
• Ensuring compliance with RMF, JSIG, NIST 800-53, ICD 503, and applicable DoD cybersecurity policies.
• Supporting system accreditation activities, including authorization packages, POA&Ms, SSPs, and security control assessments.
• Maintaining continuous monitoring activities, including vulnerability management, patch management, configuration management, and audit log reviews.
• Conducting periodic security audits, inspections, and self-assessments.
• Coordinating with ISSMs, system administrators, program managers, and government customers to resolve cybersecurity findings and maintain system authorization status.
• Reviewing and evaluating hardware/software changes for security impact and compliance.
• Assisting with incident response activities, reporting, and remediation efforts.
• Supporting account management processes, media control, system access reviews, and privileged user oversight.
• Ensuring cybersecurity documentation remains accurate and current throughout the system lifecycle.
• Participating in security testing, vulnerability scanning, and remediation tracking.
• Providing cybersecurity guidance and training to system users and administrators.

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We have 724 open roles.

As a Staff Engineer in our Bengaluru office, you will work on infrastructure that powers one of the largest compute environments in the company. You will design and build backend services in Python that manage job scheduling, orchestration, and monitoring across large-scale distributed compute workloads. You will also develop responsive web applications using React and modern JavaScript that give engineers intuitive control over compute infrastructure and real-time visibility into system performance.

Your responsibilities will include:

• Designing and building backend services in Python that manage job scheduling, orchestration, and monitoring across large-scale distributed compute workloads
• Developing responsive web applications using React and modern JavaScript that give engineers intuitive control over compute infrastructure and real-time visibility into system performance
• Architecting and optimizing SQL and NoSQL databases (PostgreSQL, MongoDB, Elastic) to handle high-volume workload data with reliability and speed
• Building and maintaining CI/CD pipelines using Jenkins or GitLab CI, and working with Docker to enable scalable microservices deployments
• Deploying, debugging, and tuning systems in Linux environments, leveraging Grafana for monitoring, logging, and observability across the platform
• Collaborating directly with R&D teams to understand their infrastructure pain points and translating those into platform features that improve productivity

You will own features from design through production deployment, participate in code reviews, and contribute to engineering standards that keep the platform maintainable.

The impact you will have includes:

• Enabling thousands of R&D engineers to run compute-intensive workloads faster and more reliably by building systems that handle scheduling and orchestration at scale
• Reducing time spent debugging infrastructure issues by creating monitoring and observability tools that surface problems before they cascade
• Improving engineering productivity across Synopsys by delivering platform features that eliminate manual workarounds and streamline workflows
• Increasing system reliability and performance through database optimization and backend architecture decisions that prevent bottlenecks under load
• Accelerating platform development velocity by building CI/CD pipelines and deployment tooling that let the team ship with confidence
• Making complex infrastructure accessible by designing user interfaces that turn raw system data into actionable insights
• Shaping the technical direction of one of the largest compute platforms at Synopsys through architecture decisions and engineering best practices you help establish

To succeed in this role, you will need:

• A Bachelor's or Master's degree in Computer Science with 5+ years in Software Engineering, or equivalent hands-on experience building production systems
• Strong programming experience in Python, with a track record of building backend services that handle real scale and complexity
• Solid frontend development skills using React, JavaScript, HTML, and CSS to build user interfaces that engineers actually want to use
• Experience working with SQL or NoSQL databases like PostgreSQL, MySQL, MongoDB, or Elastic, including schema design and query optimization
• Proficiency working in Linux environments for deployment, debugging, and performance tuning
• Familiarity with CI/CD pipelines and DevOps practices, experience with Jenkins, GitLab CI, or similar tooling is a plus
• Experience with distributed systems, job scheduling platforms like LSF, or container orchestration with Docker and Kubernetes is a plus

You will be part of a team that values:

• Context-switching between writing a Python service that handles distributed job orchestration and building a React component that visualizes system metrics without losing momentum
• Debugging production issues by going straight to the logs, database queries, and system metrics instead of guessing or restarting things until they work
• Asking clarifying questions when requirements are vague, proposing a technical approach, and moving forward without waiting for perfect information
• Caring about the developer experience as much as the technical architecture because you know that a platform no one wants to use is a platform that fails
• Taking ownership of what you build, which means thinking about maintainability, observability, and what happens when the system is under load six months from now
• Being comfortable working across the stack and collaborating with people who care deeply about infrastructure, performance, and getting things right

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings.

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Projects will have a substantial impact on trading and analytics tooling with the expectation to expand ambition and scope over time. The successful candidate will combine strong technical skills, a passion for creative problem solving, and an intense curiosity.

The group is looking for a versatile strong Python coder whose main responsibility will be to develop the platform for the portfolio management team within the firm.

This is an ideal opportunity for a strong engineer that is looking to work within a trading team.

Principal Responsibilities

• Rapid development and release of applications: process automation, intelligent alerts, interactive visualizations, and portfolio analysis tooling
• Develop and enhance the existing platform for quantitative and portfolio manager team members
• Work on building out the Python codebase using the FastAPI, Flask, or other web frameworks
• Oversee the entire full stack development of the platform
• Integrate market data APIs from vendors and Millennium’s own database and transform the data for the team’s non-relational database
• Collaborate with team on best practices and overall business strategy

Qualifications/Skills Required

• Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics, or a related quantitative discipline
• 4+ years of professional software or quant engineering experience
• Strong applied knowledge of web base application development using React and/or Angular
• Strong programming skills in Python both in web application development and data engineering/science tooling such as Numpy, Pandas, and/or PyTorch
• Experience AI forward deployments agent orchestration frameworks & MCP
• Strong SQL experience preferred for the pricing model's performance
• Experience using agentic coding workflows using Cursor, Claude code, etc.
• Experience with developing dashboards and other data visualization applications with Plotly, Matplotlib, Bokeh, Dash, etc.
• Experience using AWS technologies such as S3, Athena, SQS, Batch, Lambda
• Experience with Linux is a plus
• Extremely organized and a self-starter with effective multitasking and prioritization skills
• Highly motivated, willing to take ownership of work, drive to solve problems and work effective under pressure
• Excellent written and verbal communication skills, willing to proactively engage other team members in fostering a strong collaborative team-oriented environment
• Good team player with a strong willingness to participate and help others.
• Able to prioritize in a fast moving, high pressure, constantly changing environment; High sense of urgency

Millennium offers a total compensation package which includes a base salary, discretionary performance bonus, and comprehensive benefits. The estimated base salary range for this position is $150,000 to $200,000, which is specific to New York and may change in the future. When finalizing an offer, we take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

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This role provides hands-on experience in a large-scale enterprise environment while contributing to infrastructure reliability, security, and ongoing projects. You will support and monitor VMware, OpenShift, and related infrastructure platforms, administer, maintain, and troubleshoot Windows Server and Linux environments, perform data center activities including hardware installation, upgrades, inventory management, and lifecycle support, and respond to incidents, service requests, and operational issues.

Key responsibilities include:

• Supporting and monitoring VMware, OpenShift, and related infrastructure platforms
• Administering, maintaining, and troubleshooting Windows Server and Linux environments
• Performing data center activities including hardware installation, upgrades, inventory management, and lifecycle support
• Supporting enterprise storage systems and infrastructure services
• Monitoring system health, performance, capacity, and availability
• Responding to incidents, service requests, and operational issues
• Executing patching, system updates, security remediation, backup, and recovery activities
• Assisting in troubleshooting infrastructure and application-related issues
• Creating and maintaining technical documentation and operational procedures
• Supporting automation efforts using PowerShell, Python, Ansible, or similar tools
• Participating in infrastructure deployments, maintenance, testing, and project initiatives
• Ensuring compliance with security standards, operational procedures, and technical policies

To be successful in this role, you will need:

• 3+ years of experience in systems administration, infrastructure operations, data center operations, or a related IT role
• Strong VMware virtualization technologies experience. Familiarity with OpenShift preferred
• Experience supporting Windows Server and Linux environments
• Understanding of enterprise infrastructure concepts including compute, storage, networking, virtualization, and container platforms
• Familiarity with PowerShell, Python, Ansible, or similar automation tools
• Strong troubleshooting, documentation, communication, and teamwork skills
• Customer-focused approach to supporting internal stakeholders

Preferred qualifications include:

• Exposure to OpenShift and/or Kubernetes
• Familiarity with enterprise storage solutions such as NetApp or Dell PowerStore
• Experience with AWS and/or Azure
• Understanding of networking fundamentals (TCP/IP, DNS, DHCP, VLANs)
• Experience working in a data center or enterprise IT environment
• Familiarity with ITIL processes and ticketing systems
• Relevant certifications such as VMware VCP, Red Hat, Microsoft, CompTIA Server+, or equivalent

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Your responsibilities will include:

• Designing and implementing tools to automate product definitions, data collection, test case execution, and results analysis
• Developing methodologies to optimize HW/SW performance and power management
• Collaborating with different architecture and design teams on improvement areas
• Researching new architectural features for next generation GPU, CPU, and SOC to optimize performance and power features development
• Utilizing AI-driven techniques to enhance performance prediction models and power management strategies

To be successful in this role, you will need to have a strong background in electrical engineering (EE) or computer engineering (CE), with a focus on performance and power management. You should also have experience with modeling and simulation tools for performance validation at scale, as well as familiarity with the latest advancements in AI and their applications in power and performance optimization.

In addition to your technical skills, you will need to have strong problem-solving, collaboration, and communication skills. You should be able to work effectively in a team environment and communicate complex technical concepts to both technical and non-technical stakeholders.

If you are a motivated and detail-oriented individual with a passion for performance analysis and optimization, we encourage you to apply for this exciting opportunity.

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As a Technical Support Engineer, you will be responsible for resolving complex technical issues while ensuring high customer satisfaction. You will work closely with Engineering, Marketing, and Support teams on complex technical issues.

Key responsibilities include:

• Providing tier 3 support for InfiniBand and Ethernet fabrics, including installation, support, and resolution of complex technical issues in large AI/HPC and storage clusters

• Troubleshooting end-to-end InfiniBand fabrics, including subnet management (UFM/OpenSM), routing topology, and congestion control

• Developing and presenting comprehensive technical solutions to customer problems, including project management of complex fabric installations

• Reporting, replicating, and resolving issues

• Responding to customer technical inquiries

• Conducting site visits and conference calls with customers and partners

• Developing and refining internal processes to improve support efficiency and productivity

Requirements include:

• B.Sc. in Computer Science, Software Engineering, or Electrical Engineering, or equivalent experience

• 5+ years of customer support experience for hardware and software products

• Hands-on InfiniBand experience or deep Ethernet/RDMA expertise with a demonstrated ability to ramp quickly on InfiniBand

• Extensive knowledge of LAN switching/routing and IP routing, plus virtualization, EVPN, and VXLAN

• Linux experience and scripting

• Automation experience with Ansible

• Ability to work under pressure and support high-level customers

• Experience operating and configuring major vendors' switches and routers

• Analysis and diagnosis of highly complex networking problems

• Strong communication, presentation, and oral skills, with excellent verbal and written English

Preferred qualifications include:

• Deep InfiniBand expertise, including UFM, OpenSM, adaptive routing, congestion control, link-layer troubleshooting, ibdiagnet/perftest, and ConnectX/BlueField adapters

• RDMA, RoCE, and GPUDirect RDMA in production AI/HPC clusters

• Clustering and data-center technologies, including upper-layer protocols (e.g., MPI, NCCL)

• Knowledge of Linux/Unix at an administration level

• Ethernet (10/40/100+ GigE) and/or InfiniBand at scale

If you're creative, results-oriented, and enjoy having fun, apply today!

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What you'll be doing:

• Own and improve the end-to-end path for deploying Warp-based robotics and simulation components onto embedded platforms such as Jetson.
• Build and maintain reproducible deployment workflows including cross-compilation, CI, packaging, and containerized delivery for embedded robotics targets.
• Optimize on-device performance under real constraints including latency, throughput, memory footprint, thermals, and power.
• Debug complex issues across the stack spanning Python, C++, CUDA, drivers, and embedded Linux, including hard-to-reproduce device-specific failures.
• Integrate Warp components into robotics applications and frameworks, including ROS 2 and Isaac-based stacks, and work with partner teams to unblock adoption.
• Develop system-level testing, validation, and performance regression infrastructure for embedded targets.
• Collaborate with compiler, runtime, and kernel engineers to improve portability and performance across GPU architectures and embedded configurations.

What we need to see:

• B.Sc. or M.Sc. or Ph.D. or equivalent experience in Computer Science, Computer Engineering, Robotics, Applied Math, Physics, or a related field.
• 8+ years of experience with software engineering skills in C++ and Python, comfortable working across build systems and deployment tooling.
• Experience shipping software to embedded or edge devices, ideally in robotics, autonomy, or real-time systems.
• Practical understanding of Linux-based deployment workflows including packaging, dependencies, drivers, and debugging in constrained environments.
• Ability to reason about GPU performance and memory behavior, and to diagnose bottlenecks using profiling and system tools.
• Strong collaboration and communication skills, with a bias toward execution and unblocking users.

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Notably, NVIDIA has been a major contributor to SONiC since its inception, and our technology is already powering Ethernet Switches, DPUs, and soon BMCs, making SONiC an integral component in RDMA and AI datacenter environments.

As Software Director, you will oversee the design, development, and optimization of networking protocols for switching, routing, analytics, telemetry, and more. You will manage global teams composed of both junior engineers seeking mentorship and seasoned embedded software experts who provide leadership within and beyond the group.

Collaboration will be key, as the role involves working closely with various design and verification teams, architects, product marketing professionals, and both internal and external customers to ensure end-to-end project success.

Key responsibilities include:

Designing, developing, and optimizing networking protocols for switching, routing, analytics, telemetry, and more Managing global teams of junior and senior engineers Collaborating with design and verification teams, architects, product marketing professionals, and internal and external customers

Requirements include:

B.Sc. in Software, Computer, Electrical, or Communication Engineering, or equivalent experience At least 15 years of overall experience, including a minimum of 7 years managing R&D engineers Experience in C, C++, and Python development Familiarity with routing protocols such as BGP, EVPN, and SRv6 In-depth knowledge of Linux usage and internals Combined with creativity, motivation, and a strong value-driven mindset

To stand out from the crowd, expertise in leading both software and hardware integrations, as well as embedded software development, is highly valued. Additionally, hands-on proficiency in C, C++, and Python development, familiarity with a variety of software development tools and methodologies, and ability to dive deep into technical details are essential.

NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry.

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The DGX Cloud SRE at NVIDIA ensures our GPU cloud services deliver maximum reliability and uptime. They carefully prepare and plan changes to the system. They also manage capacity and performance.

Key Responsibilities:

• Design, build, deploy, and run internal tooling for large-scale AI training and inferencing platform built on top of cloud infrastructure.
• Conduct in-depth performance characterization and analysis on large multi-GPU and multi-node clusters.
• Engage in and improve the whole lifecycle of services,from inception and design through deployment, operation, and refinement.
• Support services before they become available through activities such as system design consulting, developing software tools, platforms, and frameworks, capacity management, and launch reviews.
• Maintain services once they are live by measuring and monitoring availability, latency, and overall system health.
• Scale systems sustainably through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity.
• Practice sustainable incident response and blameless postmortems.
• Be part of an on-call rotation to support production systems.

Requirements:

• BS degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics), or equivalent experience.
• 5+ years of experience.
• A track record showing a good balance between initiating your own projects, convincing others to collaborate with you, and collaborating well on projects initiated by others.
• Background in infrastructure automation and distributed systems architecture focused on building tools to manage large-scale private or public cloud platforms in production.
• Experience working with one or more of the following languages: Python, Go, C/C++, Java.
• Comprehensive understanding in one or more of Linux, Networking, Storage, and Containers Technologies.
• Experience with Public Cloud and Infrastructure as a Code (IAAC) and Terraform.
• Distributed system experience.

Nice to Have:

• Interest in crafting, analyzing, and fixing large-scale distributed systems.
• Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.
• Capability to identify issues and improve code performance while automating routine tasks. Experience in operating or handling large private and public cloud systems based on Kubernetes or Slurm.

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As an Elastic Consulting Architect you will be working closely with our customers to provide technical solutions for their business use cases with the Elastic Stack (which includes Elasticsearch, Kibana, Logstash and Beats). You will serve as a trusted technical advisor to our customers and help drive the customer’s journey with Elastic by providing technical oversight, ongoing knowledge transfer and enablement.

A successful consultant will be focused on excellence, taking the initiative for self-improvement and possess great communication skills. Our customers’ use cases extend across all the Elastic Solutions: Enterprise Search, Observability and Security, and beyond, and the scale of data in their environments ranges from gigabytes to petabytes.

This diverse mix of a customer base means the challenges they face that Elastic consultants help them with can often require problem solving skills and knowledge just as diverse. Our internal development and mentoring schemes ensure you have access to learn areas across the products and services we provide that you may not previously have had exposure to, in addition to which you will work closely with colleagues across the Professional Services, Engineering, Sales, Customer Success and Support teams to ensure the best experience for our customers along their Elastic journey.

As a member of our professional services team you will deliver Elastic solutions and Elastic stack expertise to drive customer business value from our products. Work with clients to facilitate strategy, roadmap, design, and sizing in workshops. You will apply your soft skills to advocate for your customers, build relationships and exhibit strong communications skills.

Comfortability working remotely in a highly distributed team. Your activities will include end-to-end delivery of ground-breaking Elastic projects to our customers, as well as development of proof-of-concepts that highlight the value of the Elastic Stack and its solutions.

Other topics will include Elastic solutions adaption and acceleration along with data modeling, query development and optimization, cluster tuning and scaling with a focus on fast search and analytics at scale.

Daily tasks include driving and handling the objectives, requirements gathering, project tasks, project status, dependencies, and timelines, to ensure engagements are delivered optimally and on time while meeting and exceeding the customer objectives.

Work across teams with engineering, product management, and support teams to identify feature improvements, extensions, and product defects. Facilitate feedback from the field back to the product.

Engage with the Elastic Sales team to scope opportunities while assessing technical risks, questions, or concerns.

Be a mentor to your team members, while also learning from them to accelerate your skills.

• Minimum 3 years as a consultant, engineer or architect, this should include solid experience deploying Elastic solutions or similar domains.
• Experience working on Enterprise projects.
• Experience working with monitoring tools that integrate into service management.
• Bachelor’s, Master’s or PhD in Computer Science or related engineering field preferred, or equivalent combination of education, training, and experience.
• Experience working to deliver and complete professional services engagements.
• Experience as a public speaker to large audiences on enterprise infrastructure software technology to engineers, developers, and other technical positions.
• Excel at working directly with customers to capture, prioritize, plan and implement solutions aligned to customer business requirements as it relates to our technologies.
• Understanding and passion for open-source technology as well as knowledge and proficiency in at least one programming language.
• Strong hands-on experience with large distributed systems and application infrastructure from an architecture and development perspective.
• Knowledge of information retrieval and/or analytics domain.
• Understanding and/or certification in one or more of the following technology Kubernetes, Linux, Java and databases, Docker, Amazon Web Service (AWS), Azure, Google Cloud (GCP), Kafka, Redis, VM’s, Lucene.
• Occasional travel may be required.

Bonus Points:

• Deep understanding of Elasticsearch and Lucene, including Elastic Certified Engineer certification
• Experience working closely with a pre-sales organization in scoping the needs of Customers
• Comfortable with Ansible, JavaScript, Terraform
• ECK experience or Kubernetes
• Knowledge of machine learning and Artificial Intelligence (AI)
• Proven understanding of Java and Linux/Unix environment, software development, and/or experience with distributed systems
• Experience and curiosity about delivering and/or developing product training
• Experience contributing to an open-source project or documentation

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The ideal candidate will have a minimum of 4+ years of hands-on experience in a Senior Systems Administrator or equivalent role, managing complex, production-grade IT infrastructure. They will have demonstrable expertise in administering Linux based operating systems, including advanced troubleshooting, performance tuning, and security hardening. Additionally, they will have proven experience with enterprise virtualization platforms, specifically VMware vSphere/ESXi, including host management, VM provisioning, and resource optimization.

Key responsibilities will include overseeing, deploying, and maintaining highly available and scalable IT infrastructure across diverse environments, administering and optimizing Linux and Windows Server operating systems, managing and maintaining enterprise virtualization platforms, driving the creation and implementation of automation scripts and tools, and implementing and maintaining essential network services.

The successful candidate will have extensive experience with public cloud platforms and on-premises data center environments, a deep understanding and practical experience with core network services, and experience implementing and maintaining PXE-boot and Kickstart environments for automated server deployments.

They will also have strong analytical and problem-solving skills, excellent communication and documentation skills, and the ability to work independently, manage multiple priorities, and thrive in a fast-paced, mission-critical environment.

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The successful candidate will be responsible for helping product and program teams maximize the value they get out of the engineering systems they use on a daily basis (PLM, CAD, CAE, etc.). They will work across a broad set of stakeholders to design, develop, and implement improvements and optimizations to our engineering systems while helping steer future investments.

This role is predominantly focused on our sovereign engineering systems , environments that handle export-controlled goods and data under the Defence Trade Controls Act 2012 and the Defence and Strategic Goods List (DSGL).

Key Responsibilities:

• Collaborate with engineering partners to understand their requirements and translate them into functional and technical solutions alongside other Engineer Systems team members
• Provide training and support to users during and post-implementation to ensure adoption of new technology
• Lead the development and implementation of new features, including defining project scope, requirements, timelines, and budgets
• Collaborate with developers to identify and address issues, bugs, and enhancement requests from both PLM and any integration to other systems (CAD, etc.)
• Provide support for the installation and post go-live of upgrades and new modules within PLM
• Work with vendors and third-party service providers to implement upgrades and new modules
• Collect infrastructure and configuration questions for PLM and any integration to other systems (CAD, etc.)
• Ensure engineering data management practices comply with export control obligations (DSGL, DTC Act)
• Support access control and data segregation for export-controlled technical data within PLM systems
• Contribute to the administration of engineering systems within classified environments as required

Required Characteristics:

• Bias for Action - they ask for forgiveness, not permission, and hate the idea of waiting around to be told what to do
• Dive Deep - they sweat the details and roll up their sleeves to uncover the root causes for systemic issues
• Ownership - they care deeply not just about their systems, but for all the business outcomes that their systems supports as well, holding themselves accountable for everything it both does and fails to do
• Agility - they change directions easily and without regret, quickly adapting to shifting business priorities
• First Principles Thinking - they approach problems and develop solutions not based on what a vendor recommends or because it’s how they did things at their last job, but from a deep appreciation of what is best for the enterprise
• Excellent problem-solving and troubleshooting abilities
• Strong communication skills to effectively interact with engineers and technical teams
• Ability to prioritize tasks and manage multiple projects simultaneously
• Willingness to learn - willing to pick up learning new tools and systems (Teamcenter)

Required Qualifications:

• 5+ years of experience in installing, developing, implementing, upgrading, and maintaining Engineer Systems (PLM, CAD, CAE, SysML, etc.) , OR , 5+ years as a systems administrator/engineer in Defence or a highly regulated environment with a willingness to specialise into engineering systems administration
• Understanding of CAD/CAM/CAE systems and their integration with PLM solutions
• Strong analytical and problem-solving skills, with the ability to root cause end user and infrastructure related issues
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams
• Knowledge of both Windows and Linux systems, along with software installations
• Must be an Australian citizen and eligible to obtain an NV2 clearance

Preferred Qualifications:

• Experience with Siemens Teamcenter (or equivalent PLM platform: Windchill, Enovia, Aras)
• Experience working in environments that handle export-controlled goods or data (DSGL, ITAR, EAR)
• Familiarity with data segregation and access control requirements for controlled technical data
• Background in Defence or national security environments
• Experience with systems administration in classified or accredited environments (ISM, DSPF)
• Understanding of configuration management principles and engineering change processes
• Experience with integration between PLM and ERP systems

Salary Range: $120,000 - $180,000 per year

Salary Currency: USD

Salary Period: Year

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Senior Staff, Site Reliability Engineer

Bengaluru, Karnataka, India

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Hire Type EmployeeJob ID 17592Date posted 06/02/2026

A peek inside our office

Po Popal

Workplace Resources, Sr Director

We Are

Synopsys is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. We deliver industry-leading silicon design, IP, simulation and analysis solutions, and design services. We partner closely with our customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow.

You Are

You have spent years keeping production systems alive at scale, and you have learned that the best incident is the one that never happens. Reliability is not a checkbox for you, it is a design principle. You know the difference between a system that alerts when it breaks and one that fixes itself before anyone notices, and you are the kind of engineer who builds the latter.

AI is not a buzzword in your world. You have used LLMs and agents to automate runbooks, resolve alerts, and eliminate toil in ways that actually work in production. You think in telemetry and error budgets. When something goes wrong, you do not just fix it, you instrument it, post-mortem it, and make sure it never happens that way again.

You are comfortable writing Python or TypeScript to solve real operational problems, not just gluing scripts together. Kubernetes, Terraform, and OpenTelemetry are tools you use daily, not things you put on a resume. On-call does not scare you because you have built systems that rarely page, and when they do, you know exactly where to look.

At Synopsys, you will work on Cloud-native SaaS products that serve a global customer base. The stack is modern, the problems are hard, and the team expects you to lead.

What You'll Be Doing

• Own availability, latency, performance, and capacity for Synopsys Cloud-native SaaS products running on Azure AKS

• Design and deploy AI agents using LLMs, Azure OpenAI, or LangChain to automate complex operational workflows and reduce manual toil

• Build self-healing internal services instrumented with OpenTelemetry that detect and resolve incidents before they impact customers

• Define and enforce SLIs, SLOs, and error budgets across the platform using the ELK stack and Azure Monitor

• Lead post-incident reviews and drive continuous improvement initiatives that turn every outage into an automation opportunity

• Evaluate and integrate new CNCF technologies and AI frameworks to keep the reliability stack current and competitive

• Participate in a rotational on-call schedule, providing expert-level support to maintain high-availability commitments for global customers

The Impact You Will Have

• Reduce mean time to detection and mean time to resolution across the SaaS platform through intelligent automation and observability

• Enable the engineering organization to ship faster by building self-service tooling and reliable deployment pipelines

• Decrease operational overhead by replacing manual runbooks with AI-driven resolution systems that scale across services

• Improve customer trust and retention by maintaining uptime and performance SLAs in a high-traffic production environment

• Set the technical standard for reliability engineering across Synopsys Cloud products, influencing architecture and design decisions

• Mentor engineers across teams on observability, incident response, and cloud-native best practices

• Drive cost efficiency by optimizing resource utilization and capacity planning across Azure infrastructure

What You'll Need

• 7+ years in a dedicated SRE or DevOps role managing high-traffic SaaS environments in production

• Hands-on experience building or implementing AI agents using LLMs, Azure OpenAI, or LangChain to solve production engineering problems

• Deep architectural knowledge of Azure, specifically AKS, Blob Storage, Redis Cache, Azure AD, Azure Monitor, and Azure Automation

• Proficiency in Python and TypeScript with a strong grasp of data structures, object-oriented programming, and writing clean, testable automation code

• Expert-level command of Terraform, Kubernetes, Helm, Docker, and GitHub Actions in production Cloud-native environments

• Deep experience with OpenTelemetry and the ELK stack, including instrumentation, distributed tracing, and building meaningful dashboards

• Strong understanding of Linux internals, networking protocols, and both SQL and NoSQL database administration. Experience with AWS or GCP is a plus. PowerShell knowledge is a plus.

Who You Are

• You can walk into a war room during an outage, diagnose the root cause in minutes, and coordinate a fix without creating more chaos

• You write automation that other engineers actually use because it solves a real problem and does not require a PhD to operate

• You push back when a proposed architecture will not scale or when observability is an afterthought, and you do it in a way that moves the conversation forward

• You treat on-call as a design feedback loop, not a burden, and you use every page as a signal to improve the system

• You can explain a complex tradeoff between availability and cost to a product manager in two sentences without losing the technical nuance

• You are comfortable working across time zones with distributed teams and can communicate technical strategy clearly in written and spoken English

The Team You'll Be Part Of

You will join a rapidly growing Cloud development and SRE team focused on delivering state-of-the-art cloud solutions. The team is scaling to meet increasing demand and building the next generation of reliability and automation capabilities across Synopsys SaaS products.

Rewards and Benefits

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process

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Specializing in areas such as logic partitioning, placement and routing, pin assignment, and performance optimization.

Innovating and developing next-generation emulation backend technologies used in Zebu software tools.

Solving challenging practical problems through innovative ideas and software development.

Running benchmarking designs and demonstrating the effectiveness of your solutions.

Collaborating with a global multi-site core team to drive technological advancements.

Contributing to the development of the industry's fastest emulation system, enhancing design capacity and performance.

Driving innovation in emulation backend technologies, shaping the future of chip design and verification.

Solving complex problems that directly impact the efficiency and effectiveness of Zebu software tools.

Ensuring the success of our clients by providing cutting-edge solutions for large-scale and high-performance designs.

Collaborating with a global team to integrate advanced technologies that power modern innovations.

Enhancing Synopsys' reputation as a leader in technological innovation and excellence.

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The scope of this role spans system architecture, Kubernetes-based platforms, and automation,serving as both a trusted advisor and a hands-on technical leader. You will advise on and help maintain large-scale computational and AI infrastructure, including monitoring, logging, and workload orchestration (Kubernetes and Linux job schedulers).

Key responsibilities include:

• Providing consultative guidance and performing hands-on solving across the full stack,from bare metal and operating system, through the software stack, container platform, networking, and storage.
• Assessing customer environments and recommending optimized, production-ready Kubernetes-based container platforms integrated with enterprise-grade networking and storage solutions.
• Serving as a key technical resource: developing, refining, and documenting standard methodologies and operational guidelines to be shared with internal teams and customer partners.
• Supporting Research & Development activities and engaging in POCs/POVs to validate new features, architectures, and upgrade approaches.
• Creating and delivering high-quality documentation, including runbooks, onboarding materials, and best-practice guides for customers and internal teams.
• Acting as the technical leader for assigned customer accounts, providing strategic guidance on DevOps and platform architecture and influencing long-term infrastructure and operations decisions.

Requirements:

• Education & Experience: BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields (or equivalent experience), with 8+ years of professional experience in leading scalable cloud environments and automation engineering roles.
• Cloud & HPC Expertise: Shown understanding of networking fundamentals, data center architectures, and hands-on experience leading HPC/AI clusters, including deployment, optimization, and solving.
• NVIDIA GPU Expertise: Validated hands-on experience deploying, configuring, and optimizing NVIDIA GPU-accelerated infrastructure, including driver management, CUDA toolkit integration, and GPU workload profiling.
• Kubernetes & AI/ML Workloads: Extensive experience with Kubernetes for container orchestration, resource scheduling, scaling, and integration with GPU-accelerated and HPC environments.
• Hardware & Software Knowledge: Strong familiarity with HPC and AI technologies (CPUs, GPUs, high-speed interconnects) and supporting software stacks.
• Linux & Storage Systems: Deep knowledge of Linux (RedHat, Ubuntu), OS-level security, and protocols. Experience with storage solutions such as Lustre, GPFS, ZFS, XFS, and emerging Kubernetes storage technologies.
• Automation & Observability: Proficiency in Python and Bash scripting, configuration management, and Infrastructure-as-Code tools (e.g., Ansible, Terraform). Experience with observability stacks (Grafana, Loki, Prometheus) for monitoring, logging, and building fault-tolerant systems.
• Solution Architecture & Customer Engagement: Strong background in crafting scalable solutions and providing consultative support to customers, including leading architectural reviews and speaking publicly to executive partners.

Preferred qualifications include:

• Knowledge of CI/CD pipelines for software deployment and automation.
• Experience working with NVIDIA GPU and Network Operators to manage automated resource lifecycle in Kubernetes environments.
• Solid hands-on knowledge of Kubernetes and container-based microservices architectures.
• Experience with NVIDIA GPU and Network Operator for automated GPU as well as network resources lifecycle management in Kubernetes environments.
• Experience with NVIDIA Base Command Manager (BCM) for provisioning, managing, and supervising GPU clusters at scale as well as background with RDMA-based fabrics (InfiniBand or RoCE) in HPC or AI environments.

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The ideal candidate will have a strong background in software testing, excellent QA sense, and experience in test case development, tests automation and failure analysis. Proficiency in C++ and Python programming languages, as well as comprehensive knowledge of Linux and Windows operating systems, is required. Additionally, experience with AI tools to automate and develop test cases, fix product bugs, and develop QA end-to-end workflow is a plus.

If you are a talented and driven individual with a passion for software testing and development, we encourage you to apply for this exciting opportunity.

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You will have a Bachelor's of Science Degree and 5 years of experience in software development. You will have experience operating production cloud platforms and services (e.g., GCP/AWS/Azure) with an SRE mindset. You will have strong fundamentals in Linux, networking, distributed systems, and debugging complex production issues. You will have proficiency with infrastructure as code and automation (e.g., Terraform, Helm/Kustomize, GitOps tooling). You will have experience with containers and orchestration (Docker, Kubernetes) and modern CI/CD. You will have programming and scripting ability (e.g., Go, Python, Java, TypeScript) to build tooling and automate workflows. You will have clear communication, effective incident leadership, and a customer-focused approach to platform work.

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:

• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
• Paid time off and the option to purchase additional vacation time.

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You will grow our global Platform network infrastructure to meet the increasing scaling demands by developing and maintaining software, codebases, tooling, and automations to serve our Network Infrastructure as Code principle.

You will collaborate in an environment with an inclusive approach, focusing on operational excellence, which uplifts others. You will prevent repeated customer impact in response to major incidents and prioritize problem management. Our on-call rotation is spread well, and we address complex customer concerns too.

You will take an engineering approach to leading technical initiatives, developing and maintaining software, codebases, tooling, and automations to serve our Network Infrastructure as Code principle. You will focus on Layer 2/3/4 of the TCP/IP stack (Ethernet and/or IP encapsulation, routing, firewalling, load balancing).

You will have excellent networking skills, with knowledge of protocols such as IP/IPv6, TCP/UDP, BGP, DNS. You will have strong technical depth for building and automating networks (Terraform, Ansible) in collaboration with other engineers as an authority in identifying, implementing, and delivering solutions.

You will have good knowledge of public CSP network components (Load balancers, VPC peering/Transit gateways, VPN connectivity, Direct Connects). You will have success and lessons of experiences from striving for 'progress not perfection' in the name of Platform reliability. We want to hear about your customer-first approach in solving operational problems for both today and the future.

You will have passion for developing solutions that involve inclusive communication methods to grow and strengthen partner and team relationships. Examples of working in distributed teams or working remotely are desirable.

You will have site-reliability engineering experience. We tackle problems with code, but fundamentally, we keep things working and have proven success in operational excellence. Responding to and preventing repeated customer impact in response to major incidents and prioritized problem management. Our on-call rotation uses follow-the-sun model where everyone participates in it in (mostly) their working hours.

Bonus points:

• You have operated a SaaS product in a public cloud ideally built using Infrastructure-as-Code tooling such as Crossplane or Terraform.

• You have designed and/or operated large network topologies that dynamic routing is based on BGP.

• You have operated network topologies based on software routers.

• You have experience in IP address management (IPAM) and you have used relevant tools for automated IP allocations.

• You have designed and/or operated overlay networks with use of encapsulation protocols such as IPSec, GRE, and VXLAN.

• You have built or operated a Kubernetes-at-scale infrastructure, ideally across multiple cloud providers, with knowledge of the Cilium CNI.

• You have written non-trivial programs in Golang or other programming languages.

• You have worked with containerized services (such as Docker).

• You have proven experience in leading and improving alerting and major incident management standard processes metrics systems (e.g., Elastic Stack, Graphite, Prometheus, Influx) to diagnose issues and quantify impacts to present to others at varying levels of the organization.

• You have experience in system and network administration with professional skills in Linux on distributed systems at scale.

• You have diagnosed or designed, implemented, and created solutions with the Elastic Stack.

• You are experienced in thriving in a self-organizing and sharing in a globally distributed team environment.

• You strengthen team members in bringing out the best of each other by uplifting others with coaching and mentoring.

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The ideal candidate will have deep expertise in C++ (11/14), Object-Oriented Programming (OOP), and SDLC, along with significant experience building high-performance games. You will play a key role in designing and delivering high-quality, scalable, and performant games while ensuring alignment to timelines and engineering standards.

Key Responsibilities:

• Design, develop, and enhance game features using Modern C++ (11/14) and OOAD principles.
• Actively contribute to hands-on development, debugging, and optimization of game modules.
• Write high-quality, maintainable, and efficient code, and participate in code reviews to uphold engineering standards.
• Collaborate with multi-functional teams including engineers, designers, artists, and mathematicians.
• Contribute to project planning, estimation, and tracking to support timely delivery of landmarks.
• Identify technical risks early and proactively contribute to mitigation strategies.
• Resolve complex technical issues with minimal rework.
• Contribute to the adoption and improvement of CI/CD practices, coding standards, and development processes.
• Share knowledge and contribute to team-wide improvements in debugging, profiling, and performance optimization.
• Ensure game quality standards for performance, stability, and memory optimization are met.

Job Requirements:

• Strong foundation in Object-Oriented Analysis and Design (OOAD).
• Solid hands-on experience in Modern C++ (11/14).
• Experience working in Linux and Windows development environments.
• Proficiency with tools such as Visual Studio, Git/SVN, GDB, profiling tools, and static/dynamic analysis tools.
• Familiarity with Continuous Integration systems.
• Hands-on experience working in Agile/Scrum environments.
• Strong problem-solving, analytical, and debugging skills.
• Effective communication and collaboration skills.
• Ability to contribute to technical discussions and share knowledge within the team.
• Ability to independently drive complex technical problems through design, implementation, and optimization.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 7–10 years of experience in software development.
• Prior experience in the gaming industry is preferred.

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You will architect, implement, and maintain high-performance, real-time and faster-than-real-time simulation environments used by autonomy, perception, and systems engineering teams to design, test, and demonstrate cutting-edge uncrewed aircraft mission autonomy.

This role involves significant technical leadership, cross-functional collaboration, and delivery of complex simulation frameworks that support both customer programs and internal R&D.

Key responsibilities include:

• Leading the architecture, design, and evolution of distributed, real-time simulation systems across virtual, constructive, and live environments.

• Architecting and implementing high-performance C++ software for modelling, simulation, integration workflows, and system interoperability, including compatibility with legacy standards.

• Developing and optimising real-time and distributed simulation software supporting multi-agent scenarios, high-fidelity environments, and system-of-systems simulations.

• Integrating defence simulation frameworks such as AFSIM or NGTS to accelerate delivery and ensure alignment with defence customer expectations.

• Designing and delivering containerised simulation deployments using technologies such as Docker and Kubernetes for development, CI, testing, and operational environments.

• Providing technical and project leadership to engineering teams of 5+ contributors across software, autonomy, perception, test, and program functions.

• Collaborating closely with cross-functional teams to connect simulation with autonomy algorithms, hardware interfaces, and automated test pipelines.

• Driving innovation and continuous improvement in CI/CD, test-driven development, software architecture, and simulation tooling.

• Supporting key customer programs by delivering robust, validated, and scalable simulation environments.

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Dialpad is the AI-native business communications platform. We unify calling, messaging, meetings, and contact center on a single platform - powered by AI that understands every conversation in real time.

As a Software Engineer in Observability, you'll be responsible for our metrics and log collection platform. You'll work closely with other Infrastructure engineers to determine resource usage and requirements. You'll also help create tooling, libraries, and documentation that enable other engineers to instrument their own projects. In addition, you'll keep our team informed about trends in the broader observability/monitoring industry.

Responsibilities

• Develop and improve instrumentation for monitoring and logging the health and availability of services.
• Develop and maintain the observability stack within Dialpad engineering.
• Define best practices and standards around making systems and services measurable, and work with various teams to get those best practices applied.
• Create tools and libraries for other engineering teams to enable them to build self-monitoring capabilities.
• Create and own internal documentation used by the other engineering teams.
• Stay up-to-date with the latest trends in observability, logging, monitoring, and cloud technologies. Introduce innovative solutions and best practices to improve system observability and reliability.
• Collaborate with different engineering teams to integrate observability practices into their workflows.
• Participate in a rotating on-call within the larger Infrastructure Engineering division.

Requirements

• Background in both Systems and/or Software Engineering.
• Experience in designing, automating, maintaining, and optimizing observability platforms (logging, metrics, and tracing).
• Experience with configuration management tools such as Ansible, Terraform, etc.
• Experience with Public Cloud environments such as GCP, AWS, etc.
• Familiarity with languages such as Python, Go, Rust, etc.
• Previous direct experience with Grafana, Loki, Prometheus.
• Experience with Linux.
• Experience with Kubernetes (including GKE/EKS) and building containerized applications.
• Undergraduate degree in Computer Science or Engineering.

Why Join Dialpad

• Work at the center of the AI transformation in business communications
• Build and ship agentic AI products that are redefining how companies operate
• Join a team where AI amplifies every employee’s impact
• Competitive salary, comprehensive benefits, and real opportunities for growth

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By leveraging programming languages like Python and modern automation platforms, you will be instrumental in reducing manual, CLI-based tasks, significantly improving efficiency, accuracy, and scalability across our network operations. This role is key to shifting our traditional networking approach towards a robust NetDevOps model.

You will play a critical role in shaping our automation strategy, driving Infrastructure-as-Code initiatives, and ensuring our network systems are resilient, secure, and performant. This is an exciting opportunity to tackle complex, multi-vendor challenges and directly impact our overall operational excellence.

Responsibilities:

• Develop, champion, and maintain a comprehensive network automation strategy that aligns with organisational goals and evolving technology landscape.

• Identify and prioritise high-impact areas for automation within the network infrastructure across various environments (data centre, backbone, OT, cloud).

• Design and architect robust, scalable, and maintainable automation solutions.

• Design, develop, and integrate automation tools and frameworks to support infrastructure management, leveraging Go, Python, Nornir, Ansible, and other relevant technologies.

• Ensure seamless integration of new automation solutions with existing systems, APIs (RESTCONF, NETCONF), and processes.

• Implement and promote the widespread use of Infrastructure as Code (IaC) principles to manage and provision network resources using tools like Terraform.

• Maintain IaC scripts and templates to ensure consistency, version control (Git), and reproducibility across our environments.

• Implement automated monitoring and reporting solutions to ensure the health, performance, and compliance of our network infrastructure.

• Develop automated pre- and post-change validation processes to ensure configuration changes have only the intended effects and are successfully implemented.

• Provide detailed reports on automation effectiveness and identify areas for continuous improvement.

• Ensure that all automation solutions comply with security policies, industry best practices, and regulatory requirements.

• Implement automated security checks and compliance audits within the network environment.

• Maintain comprehensive and up-to-date documentation for automation system designs, configurations, and operational processes.

• Share knowledge, best practices, and provide training and mentorship to the broader technology organisation and network engineering teams.

Required Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or a related technical field, or equivalent practical experience.

• 5+ years of experience in network engineering with a strong focus on automation and scripting.

• Proficiency in Python and/or Go for automation scripting (e.g., Netmiko, NAPALM, Paramiko) and general software development.

• Extensive experience with configuration management tools (e.g., Nornir, Ansible, Salt, Puppet).

• Hands-on experience with Infrastructure as Code (IaC) tools (e.g., Terraform, Pulumi) for network provisioning.

• Deep understanding of core networking concepts and protocols (TCP/IP, DNS, DHCP, VLANs, BGP, OSPF, EIGRP, MPLS).

• Experience interacting with network devices via APIs (RESTCONF, NETCONF), SNMP, and other programmatic interfaces.

• Strong experience with version control systems (Git) and modern CI/CD methodologies for network configuration deployments.

• Familiarity with network operating systems from multiple vendors (e.g., Cisco IOS/NX-OS, Juniper Junos, Arista EOS, Palo Alto PAN-OS).

• Experience with Linux operating systems and Bash scripting.

• Excellent problem-solving skills, with the ability to diagnose complex network and automation issues.

• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams and mentor peers.

• Must be eligible to obtain and maintain a US Secret clearance.

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Are you ready to advance your engineering career? At NVIDIA, we seek a Senior Product Engineer for our dynamic team in Shenzhen. This role goes beyond typical engineering tasks. You will be involved in pioneering developments and work alongside some of the brightest experts in the field. Your contributions will influence the success of our powerful technologies, making this an outstanding opportunity for driven professionals.

What You'll Be Doing:

• Responsible for managing NVIDIA Interconnect products, ensuring flawless product engineering implementation and maintenance.
• Drive product yield management and coordinate methods, processes, and operations for both new and existing products.
• Implement product change control, build management, and resolve product failure issues.
• Supervise quality and yield goals, taking corrective actions as needed and working with hardware build, validation, software, and other product engineers.
• Develop and grow manufacturing partners' capabilities, focusing on scalability and yield reporting.
• Willingness to travel to various sites as part of the role.

What We Need To See:

• 5+ years of proven experience in Product Development, particularly in AOC/Transceivers.
• Deep technical knowledge in Hardware and/or Software Engineering related to Optical Product Development.
• Bachelor's degree or higher in EE, CE, Optoelectronic Science and Technology, Optical Information Science and Technology, or comparable experience.
• Experienced in high precision connector/interconnects build, manufacturing, and testing.
• Strong analytical skills and proficiency in advanced data analytics tools.
• Focused problem solver with excellent teamwork abilities.
• Knowledge of interpersonal structure, workflow, and operating procedures.
• Ability to work effectively in a cross-site and cross-cultural environment.
• Proficient in both written and spoken English as well as spoken Chinese.

Ways To Stand Out From The Crowd:

• Deep understanding of software programming, especially in Linux and Python.

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Responsibilities:

• Design and develop automated tests for networking Switches and Adapters while working closely with the HW, ASIC, and SW Engineering teams to achieve a reliable test with high coverage
• Exposed to various aspects of design, DFT, and test of NVIDIA's next-generation network products
• Take a significant part in the definition and development of tests from the development level to the final test of Network-Systems
• Utilize test suites to find, debug and resolve problems with production process
• Ability to drive projects to full execution in time and working under pressure of schedule and multi project environment
• Supporting and fix bugs of existing code. Supporting production lines for: deployments, patches, maintenance
• Test Verification and Validation (both HW and SW). Troubleshooting and streamlining/optimizing our testing procedures
• Execute tests in different scopes such: regression, performance degradation, functional, and security; report the progress of testing and provide summary reports of the activity

Requirements:

• BSc/MSc or equivalent engineering degree in Computer Science, Electrical Engineering, or a related field
• 5+ years of related experience in software development and design
• 3+ years of proven experience in Python development
• Excellent knowledge of a version control system (preferably GIT)
• Linux based development
• Experience with Software/Hardware products integration and HW lab measurement equipment
• Experience with bringing up of large-scale automation solutions to large software teams
• Excellent communication skills with hands-on experience collaborating with global teams
• Self-motivation and a great teammate

Nice to Have:

• Excellent programming, debugging, performance analysis, and test design skills
• A highly motivated teammate who always stays up-to-date with new technologies and test methodologies
• Exposure and knowledge around application development, rest API development, configuration management and automation
• Experience in tools/services development. Creativity – find solutions for challenging requirements
• Orientation to Hardware and Experience in mechanics and automated JIGs

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What you'll be doing:

• Build, improve, and maintain automation and self-service solutions across infrastructure, Data Center, and engineering environments.
• Develop and maintain CI/CD pipelines to support faster, safer, and more reliable software and infrastructure delivery.
• Work hands-on with Linux/Unix systems, infrastructure platforms, compute, storage, networking, and production environments.
• Support Data Center-related workflows, including server lifecycle, hardware readiness, rack-and-stack processes, and operational improvements.
• Use Infrastructure as Code and configuration management tools such as Terraform, Ansible, Puppet, or similar platforms.
• Support cloud, hybrid, containerized, and Kubernetes-based environments. Improve monitoring, logging, observability, reliability, and operational standards.
• Partner closely with engineering, IT, operations, and infrastructure teams to improve scalability, efficiency, and automation.

What we need to see:

• 5+ years experience as a Senior DevOps Engineer with strong hands-on expertise in infrastructure, automation, and operational excellence.
• Bachelor’s degree in Computer Science or other technical certification or relevant work experience.
• Strong scripting and programming skills using Python, Bash, Go, or other automation-focused languages.
• Experience building and maintaining CI/CD pipelines, release automation, testing integration, and deployment strategies.
• Hands-on experience with Infrastructure as Code and configuration management tools.
• Experience with Docker, Kubernetes, cloud, and hybrid environments.
• Strong communication skills and the ability to work in a global, cross-functional, fast-paced environment.
• Hands-on experience in Data Center, lab, or large-scale infrastructure environments.
• Experience automating hardware, server provisioning, deployment, or infrastructure lifecycle processes.
• Proven ability to build self-service platforms that reduce manual work and improve delivery speed.

Ways to stand out from the crowd:

• Strong understanding of monitoring, observability, reliability engineering, and production support.
• Experience working with engineering, IT, and operations teams to standardize processes and improve operational efficiency.
• Ability to combine DevOps expertise with deep infrastructure and system-level understanding.
• Experience driving automation initiatives that create measurable impact in time savings, quality, consistency, or scale.

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Responsibilities:

• Own the day-to-day operation and lifecycle management of FlexLM/FLEXnet EDA license servers in Linux environments, including installs, upgrades, renewals, rereads, and decommissioning.
• Diagnose and resolve license availability, checkout, and performance issues using tools such as lmstat, debug logs, and operational telemetry.
• Partner with EDA tool owners, infrastructure teams, and security collaborators to ensure license compliance, access control, and export-restricted usage policies.
• Improve reliability and observability of license infrastructure through automation, monitoring, and data analysis of license usage and trends.
• Lead or own small to medium-sized projects to improve licensing workflows, tooling, or operational scalability.
• Contribute documentation, operational runbooks, and guidelines to support broader team knowledge sharing.
• Serve as a technical point of contact for license-related incidents and blocking issues affecting engineering efficiency.

Requirements:

• Strong hands-on experience with FlexLM / FLEXnet licensing, including server configuration, license files, daemons, and troubleshooting. Familiarity with Reprise License Manager is a plus.
• Solid Linux system administration skills (RHEL/CentOS), including process management, logging, networking basics, and scripting.
• Experience operating production infrastructure with high availability and reliability expectations.
• Ability to work independently within broadly defined objectives and exercise sound technical judgment.
• Demonstrated ability to collaborate across teams and communicate clearly with both technical and non-technical collaborators.
• Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
• 5+ years of experience in a related field.

Nice to Have:

• Experience automating operational workflows using scripting (python or shell) or infrastructure tooling such as Ansible.
• Familiarity with license allocation methods such as using options files, dedicated license pools, and batch scheduling allocation such as License Scheduler.
• Experience supporting EDA toolchains (e.g., Synopsys, Cadence, Siemens) in large engineering environments.
• Exposure to security, export-control, or access-restriction requirements in shared compute environments.
• Prior ownership of infrastructure projects that improved reliability, scalability, or operational efficiency.

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Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

Responsibilities

• Design, build, and operate highly scalable, reliable, and secure infrastructure powering our production systems across AWS and GCP.

• Lead major reliability and modernisation initiatives, including container platform migrations (e.g., ECS to EKS/GKE) and microservice enablement across multi-cloud environments.

• Serve as a technical authority in Kubernetes (EKS and GKE), cloud infrastructure (AWS and GCP), and modern CI/CD practices (GitOps, automation pipelines).

• Partner with development teams to architect and enable microservice-based applications, ensuring production readiness, scalability, and observability.

• Implement and manage infrastructure as code (Terraform, Ansible) to automate provisioning, scaling, and configuration management across multiple cloud providers.

• Drive improvements in observability, performance, and cost efficiency through robust monitoring, logging, and alerting systems that span AWS and GCP.

• Champion SRE best practices , defining SLOs/SLIs, conducting blameless postmortems, and continuously improving incident response.

• Lead complex technical projects from conception to completion, managing timelines, and technical dependencies across teams.

• Mentor engineers across teams, fostering a culture of reliability, automation, and continuous learning.

• Collaborate with security and compliance partners to ensure infrastructure adheres to best practices and standards (e.g., IAM Federation, Workload Identity).

• Participate in the on-call rotation, using incidents as learning opportunities to enhance systems and processes.

Requirements

• Strong hands-on experience architecting and operating cloud-native distributed systems (AWS and GCP).

• Deep expertise with Kubernetes (EKS and GKE) , design, provisioning, scaling, and advanced troubleshooting in production.

• Proven experience leading ECS to EKS/GKE migrations and driving microservice enablement initiatives at scale.

• Proficiency with Infrastructure as Code tools such as Terraform (multi-provider), Ansible, or CloudFormation.

• Solid coding and scripting ability in Python, Go, or Shell, with a focus on automation, tooling, and operational excellence.

• Advanced understanding of CI/CD pipelines (ArgoCD, GitLab CI, Spinnaker), Linux systems, and networking fundamentals (Direct Connect/Interconnect, DNS, routing, load balancing) and Redis (must have).

• Experience managing databases and caching systems (e.g., RDS/Cloud SQL, Redis/Memorystore, PostgreSQL, MySQL) in cloud environments.

• Hands-on experience with observability tools (Prometheus, Grafana, ELK, Loki, OpenTelemetry, Google Cloud Operations) for performance and reliability insights.

• Working knowledge of container security, secrets management (HashiCorp Vault, AWS Secrets Manager, Google Secret Manager), and compliance in production environments.

• Strong communication and problem-solving skills, with demonstrated success leading cross-team projects and mentoring peers.

Experience

• 8+ years in SRE, DevOps, or Infrastructure Engineering roles.

• 3–5 years of experience with Kubernetes (EKS/GKE) and related ecosystem tools (Helm, Karpenter, etc.) in production.

• 3–5 years of experience with AWS and GCP.

• 3–5 years using Terraform to manage multi-cloud infrastructure.

• 5+ years of coding experience in Python, Go, or similar languages.

• Proven track record leading high-impact projects, specifically migration projects (ECS → EKS/GKE) and enabling microservice architectures.

• Experience implementing SLOs/SLIs, performing root cause analyses, and improving operational resilience.

• Prior work in SaaS or high-scale, cloud-native environments is a strong plus.

• Strong Linux and security fundamentals.

• Bachelor’s degree in Computer Science or equivalent hands-on experience.

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Our Hsinchu, Taiwan site is home to a vibrant, collaborative team developing cutting-edge solutions for multi-die systems and advanced packaging. Synopsys powers breakthroughs in AI, cloud computing, 5G, IoT, and automotive, delivering industry-leading tools for chip design and software security.

You are a passionate engineer and technical leader eager to shape the next generation of electronic design automation (EDA) tools. With deep expertise in software development, computational geometry, and physical layout, you thrive in a fast-paced, innovative environment. You bring a mastery of C++ or object-oriented programming, and you’re comfortable with complex algorithms and data structures. Your experience developing EDA software for physical design/layout sets you apart, and you are energized by solving challenging technical problems that impact global technology leaders.

Responsibilities:

• Designing, developing, and delivering software solutions for physical layout automation in advanced packaging and multi-die systems.
• Contributing to technical specifications, implementing robust and efficient code, and applying test-driven development practices.
• Debugging and resolving complex issues collaboratively, employing systematic approaches and leveraging your expertise in computational geometry.
• Ensuring software meets strict quality, performance, and reliability standards required by industry-leading customers.
• Supporting product deployment, releases, and troubleshooting customer issues to ensure seamless adoption and satisfaction.
• Collaborating with cross-functional, global teams to deliver innovative EDA solutions that advance Synopsys’ technology leadership.
• Continuously learning and integrating new technologies and methodologies to enhance product capabilities and efficiency.

Requirements:

• Master’s degree in Computer Science, Electrical Engineering, or a related field.
• 8+ years of professional software development experience, ideally within EDA or physical design/layout automation.
• Strong proficiency in C++ or other object-oriented programming languages, with solid understanding of algorithms and data structures.
• Experience with computational geometry and software development workflows/tools.
• Exceptional debugging skills and systematic problem-solving abilities.
• Proficiency in Linux; scripting experience (e.g., Tcl, Perl, or similar) preferred.
• Strong written and verbal communication skills in English (intermediate or higher).

What You’ll Need:

• Analytical thinker with outstanding attention to detail.
• Quick learner and self-starter, comfortable with ambiguity and change.
• Collaborative team player who thrives in diverse, global environments.
• Effective communicator who can explain complex ideas clearly to technical and non-technical audiences.
• Adaptable and resilient, able to manage multiple priorities and deadlines.
• Driven by curiosity and a passion for continuous improvement.

The Team You’ll Be A Part Of:

You’ll join Synopsys’ EDA Group R&D team, a dynamic, innovative group focused on developing industry-leading solutions for physical layout automation and advanced packaging. Our team collaborates across global locations, sharing expertise and driving technical excellence. We value creativity, initiative, and a commitment to delivering best-in-class software that shapes the future of chip design.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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Design, develop, and optimize core algorithms for the Totem product line, focusing on power noise integrity, electromigration, thermal analysis, and electrostatic discharge modeling for advanced nodes including 3DIC, FinFET, and GAA architectures.

Build and maintain high-performance C++ code that handles parasitic extraction, transistor-level simulation, and gate-level power analysis across distributed processing environments.

Diagnose and resolve complex software defects in large-scale commercial codebases, ensuring correctness, scalability, and maintainability under tight delivery schedules.

Optimize tool runtime and memory capacity for designs with billions of transistors, using profiling, parallel processing techniques, and algorithmic improvements.

Create unit, regression, and system-level tests that validate new features and changes across the full product stack.

Collaborate with technical leads, product management, and field engineers to refine solutions based on customer design challenges at 3nm and beyond.

Explore and integrate machine learning and AI techniques to improve accuracy, performance, and predictive capabilities in EDA workflows.

Your code will directly enable signoff accuracy for power and reliability analysis on the most complex ICs shipping in smartphones, data centers, and AI accelerators.

Performance improvements you deliver will reduce analysis runtime by hours or days, helping customers meet aggressive tapeout schedules.

The algorithms you build will help semiconductor companies navigate the physics challenges of sub-3nm nodes, FinFET, GAA, and 3DIC stacking.

Your optimization work will expand the capacity of Totem tools, allowing analysis of larger designs without requiring customers to partition or compromise accuracy.

Test frameworks you create will catch regressions before they reach customers, protecting product quality and customer trust.

Your collaboration with field teams will translate real-world design pain points into software improvements that matter.

Machine learning techniques you integrate will position Synopsys tools at the leading edge of AI-driven semiconductor analysis.

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Collaborate cross-functionally with system architects, hardware, firmware/software, process/reliability, and operations teams to co-design system-level speed features and deliver industry-defining products.

Define System level specifications, margins, bounding box constraints that satisfy design expectations and product quality.

Provide system requirements for hardware and features affecting speed and reliability, from pre-silicon through productization.

Translate hardware features and architectural requirements into validation techniques that achieve full coverage across testing flows.

Perform closed loop validation by correlating silicon behavior against timing simulation and design expectations; provide actionable feedback to improve future designs.

Define, prototype, and refine pre- and post-silicon bring-up flows to ensure product quality, performance, and schedule efficiency.

Design and implement automation tools for system speed modeling; apply AI and LLM-assisted workflows (e.g., automated log analysis, pattern detection, scripting acceleration) to compress characterization and debug cycles.

Architect and influence testability features critical to performance, power, and reliability in partnership with design, DFx, and ATE teams.

Lead debug of complex silicon and system-level issues, including show-stopper defects, to enable on-time product shipment.

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As a Technical Marketing Engineer, you will be responsible for:

• Architected and building high-performance software demos from early-stage product snapshots and cutting-edge SDKs.
• Developing and maintaining end-to-end media pipelines,from ingest to inference to output,utilizing NVIDIA's stack (AI for Media, Holoscan for Media, Blueprints, NIMs, SDKs and NMOS Containers).
• Travelling to 6–10 industry tradeshows annually to set up complex demo rigs, present technical deep-dives to multi-level audiences, and field challenging architectural questions from industry leaders.
• Partnering with product management to identify feature gaps or performance bottlenecks, providing actionable feedback that influences the product roadmap.
• Engaging daily with our product management and core engineering teams at HQ to ensure you are deeply integrated with the development cycle and hardware resources.

To be successful in this role, you will need:

• A Bachelor’s degree from a leading university or equivalent experience.
• 8+ years of media industry experience, specifically broadcast or content creation.
• Strong Linux command-line mastery and technical proficiency with the NVIDIA stack (e.g. CUDA, TensorRT, Rivermax).
• Proven experience with deploying AI models (LLMs, VLMs, audio enhancement, or generative AI) in production environments.
• Deep understanding of professional media workflows (content creation, virtual production, broadcast, post-production, or real-time graphics).
• Ability to distill complex technical architecture into clear, persuasive narratives for both technical and non-technical stakeholders.

If you are interested in this role, please submit your application by June 1, 2026.

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Key Responsibilities:

• Maintain large-scale HPC/AI clusters with monitoring, logging, and alerting
• Manage Linux job/workload schedulers and orchestration tools
• Develop and maintain continuous integration and delivery pipelines
• Develop tooling to automate deployment and management of large-scale infrastructure environments
• Deploy monitoring solutions for servers, network, and storage
• Perform troubleshooting from bare metal to application level
• Develop, redefine, and document standard methodologies to share with internal teams

Requirements:

• Bachelor's degree in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields
• At least 8 years of professional experience in networking fundamentals, TCP/IP stack, and data center architecture
• Knowledge of HPC and AI solution technologies, including CPUs, GPUs, high-speed interconnects, and supporting software
• Extensive knowledge and hands-on experience with Kubernetes, including container orchestration for AI/ML workloads, resource scheduling, scaling, and integration with HPC environments
• Experience in managing and installing HPC clusters, including deployment, optimization, and troubleshooting
• Experience with job scheduling workloads and orchestration technologies such as Slurm, Kubernetes, and Singularity
• Excellent knowledge of Windows and Linux systems, including internals, ACLs, OS-level security protections, and common protocols like TCP, DHCP, DNS, etc.
• Experience with multiple storage solutions, including Lustre, GPFS, ZFS, and XFS
• Proficiency in Python programming and bash scripting
• Knowledge of CI/CD pipelines for software deployment and automation
• Comfortable with automation and configuration management tools, including Jenkins, Ansible, Puppet/Chef, etc.

Preferred Qualifications:

• Knowledge of CPU and/or GPU architecture
• Knowledge of Kubernetes, container-related microservice technologies
• Experience with GPU-focused hardware/software (DGX, CUDA)
• Background with RDMA (InfiniBand or RoCE) fabrics

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Your primary responsibilities will include executing tests, helping debug, and performing root cause analysis. You will design, implement, debug, test, and maintain test automation using Python. Additionally, you will generate quality software defect reports, establish and maintain a test setup, share ideas for innovation and process improvements, and develop and maintain software tools and features to assist in automated testing.

To succeed in this role, you will need a Bachelor's Degree in Computer Engineering, Electrical Engineering, Computer Science or related field of study. You should have 2+ years of software test experience and/or tools development on embedded OS platforms: Linux, QNX, or Android, and 2+ years of experience in Python development and object-oriented design.

As a Test Automation Developer, you will work collaboratively with development and test teams to understand feature functionality and testing requirements. You will devise test scenarios and implement automated test suites for maximum coverage, contribute to team deliverables through involvement in agile scrum development sprints, review specifications and identify precise product requirements, and develop and execute functional and integration test plans for feature implementation.

If you have a proven track record mapping design requirements to test cases, managing large-scale automated test executions, and triaging test results to systematically detect and diagnose software defects, you may have an edge in this role. Experience in database and web application development, combined with demonstrated expertise in data analytics and visualization, is also highly valued.

In addition to your technical skills, you should be able to operate as a self-motivated, detail-oriented professional with established troubleshooting, problem-solving, and communication skills suited for a collaborative, multi-site team environment.

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As the bridge between Fleet Support and the software, autonomy, avionics, and systems engineering teams, you will help transform field-reported issues into reproducible technical findings, corrective actions, and long-term product improvements.

Key responsibilities include:

• Serving as the software SME for Fleet Support and leading escalated investigations involving fielded aircraft and mission software.
• Triage and root-cause software issues affecting aircraft behavior, mission execution, subsystem integration, logging, configuration, and deployed operations.
• Reproducing customer-reported issues in lab, simulation, and hardware-in-the-loop (HIL) environments.
• Analyzing logs, telemetry, and system state to distinguish software defects from hardware, network, installation, or operator-workflow issues.
• Debugging integration points across onboard compute, ground control applications, payload interfaces, and external software dependencies.
• Troubleshooting application programming interface (API) issues, configuration issues, and software-to-hardware interactions in operational environments.
• Building and maintaining lightweight tools, scripts, and automated checks that improve triage quality, reproducibility, and field support efficiency.
• Supporting release readiness, validation, software deployment troubleshooting, and recovery planning for customer-facing operations.
• Turning recurring fleet issues into actionable bug reports, engineering requirements, and product-improvement recommendations.

Required qualifications include:

• A Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Electrical Engineering, or a related discipline.
• 5+ years of experience in software engineering for robotics, autonomy, aerospace, unmanned aircraft systems, embedded systems, or other mission-critical platforms.
• Strong programming skills in C++ and Python.
• Strong Linux troubleshooting and systems-debug experience.
• Experience debugging software that interfaces with hardware, sensors, networks, or distributed systems.
• Ability to turn vague field symptoms into structured, reproducible technical findings.
• Strong communication skills in cross-functional and customer-facing environments.

Preferred qualifications include:

• Experience with autonomy software, flight software, embedded avionics software, or ground control software.
• Experience with simulation, HIL, or automated test tooling.
• Experience supporting deployed software, integration test, or operational validation efforts.
• Experience supporting customer-site deployments or operational readiness events.

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Responsibilities:

• Design and build out a scalable IT infrastructure for a rapidly growing organization
• Respond to information technology help desk requests and provide assistance via phone, e-mail, remote access, and onsite support, escalating more complex requests to senior staff members
• Provide technical assistance and support for issues related to computer systems, networks, software, and hardware

We're looking for someone who has:

• 5-7+ years in IT operations including system administration, server support, project implementation, and desktop support in a fast-paced environment
• Experience with Google Workspace, or other Active Directory systems
• Experience supporting a broad range of computer systems (Linux, Windows, and Mac)
• Knowledge of networking protocols and equipment (VPN, DNS, next-gen firewalls, routers, switches, or access points)
• Experience in deploying, integrating, and administration of SaaS applications
• Ability to operate in high-pressure situations, successfully handle multiple priorities, and possess a high level of discipline while remaining flexible
• Experience in creating IT processes and procedures

Nice to have:

• Managed Fortinet network stack
• Knowledge of MDM best practices
• CCNA certification
• Experience with Powershell, bash, and shell scripting

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life, and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off.

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The role spans the full systematic trading stack, with a particular focus on research infrastructure, data systems, signal deployment, and production monitoring.

Key responsibilities include:

• Owning and continuously improving the team's research platform, including the backtesting framework, simulation environments, and caching/compute layers
• Building and maintaining tooling that enables researchers to develop, test, and deploy signals efficiently
• Integrating Agentic AI workflows where they can improve productivity, model development, or operational robustness
• Designing, organizing, and maintaining large-scale datasets and data pipelines used across research and production
• Optimizing and supporting the team's interfaces with central and external systems, including execution, risk monitoring, and compute/resource management
• Helping productionize and monitor trading signals, ensuring robustness, observability, and operational reliability

Preferred technical skills include:

• Strong Python engineering skills, with the ability to write clean, scalable, production-quality code
• Experience with performance optimization in Python and with parallel/distributed workloads
• Familiarity with tools such as Kubernetes, Ray, Dask, Polars, Slurm, or similar distributed compute/orchestration frameworks
• Experience with SQL; familiarity with modern data warehouses such as Snowflake is a plus
• Strong Linux experience
• Solid understanding of system design, design patterns, and data architecture

Preferred experience includes:

• 3+ years of experience as a quantitative developer, research engineer, or software/data engineer, ideally in a systematic trading or financial context
• Experience building or supporting research platforms, simulation frameworks, or quantitative data infrastructure
• Experience creating, organizing, and maintaining custom datasets and production-grade data pipelines
• Experience supporting the deployment, monitoring, and maintenance of live research outputs or trading models
• Experience working closely with researchers in a fast-paced, iterative environment

Millennium offers a total compensation package which includes a base salary, discretionary performance bonus, and comprehensive benefits. The estimated base salary range for this position is $150,000 to $200,000, which is specific to New York and may change in the future.

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Your responsibilities will include:

• Developing test plans and orchestrating testing for Compute software releases on all new compute architecture platforms, including Tesla GPUs, Nvidia turnkey systems, and OEM systems.
• Developing a robust test infrastructure incorporating advanced AI tools to significantly enhance our testing capabilities and streamline operations for more efficient and accurate results.
• Improving code coverage, elevating the overall quality of our codebase, and reliability of our testing processes, and developing roadmaps prioritizing software development schedule for full life-cycle of tool development, test, and deployment.
• Collaborating across teams to identify new features and leading developers in definition, automation implementation, and productization of those features in a timely manner.
• Building and operating key pieces of a complete infrastructure for automation framework development, as well as, leading and developing automation support and participating in automation of manual test cases, working closely with automation infrastructure.
• Focusing on an efficient customer experience by improving both usability and ease to attain optimal performance.
• Testing both software functionality and internal code/structure and running regression tests for existing CUDA/Driver features.

To be successful in this role, you will need:

• A Bachelor's or Master's degree in Engineering (or equivalent experience) with 5+ years of testing SW development cycle experience.
• A solid understanding of embedded systems, Linux, Python, C, and C++.
• Experience with cloud infrastructure is a big plus.
• Proven experience with AI tools for automation and test plan development directly applied to daily tasks.
• Strong technical skills, with a deep understanding of orchestration & automation systems, data centers, and cloud architecture combined.
• A solid understanding in QA methodology and paying attention to details.
• Knowledge in Cluster and cluster management.
• Experience in developing test strategies, high-quality test plans, and test execution.
• Proficient in building test setups and fine-tuning in HW and SW along with hardware and software components that enable cloud computing services.

If you have expertise in packaging software in Linux (rpms, debs) and knowledge in Linux distribution (Centos, Ubuntu, SLES, RedHat, Fedora), apply AI-powered tools to improve efficiency and quality, including test case/plan/script generation, defect detection, CBTP, bug fixing, and day-to-day assistance, experience with Configuration and deployment management (Ansible), Containers (Docker), and Virtualization infrastructure software (Xen, KVM), and a good understanding of C/C++ toolchain in Linux including cross-compilation (C, C++, automake/autoconf, cmake, meson), background with parallel programming, ideally CUDA C/C++ and OpenACC, then we would love to hear from you!

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Responsibilities: Participate in an international team of software engineers working on products for testing NVIDIA products Design and implement robust, maintainable, and efficient automation test suite Work with Continuous integration systems and regression tools, automate builds, and test suites, generate test reports, isolate and classify failures and review new degradation. Innovate! Bring SONiC NOS to shine in customer's view

Requirements: B.Sc. degree or equivalent experience in Engineering/Computer Science/related field 2+ years of experience as a Software Engineer Intrinsically motivated with a desire for automation programming Programming skills in Python Strong technical abilities, problem-solving skills, coding, and design skills

Ways to stand out from the crowd: Linux knowledge: have a general understanding of Linux operation system concepts Strong communication and interpersonal skills, with the ability to motivate and inspire others. Knowledge in one or more Networking areas: Ethernet, VLANs, TCP/UDP/IP, QoS, L2-L3 protocols Prior software testing experience, with an understanding of Software Testing Tools and Methodologies, and python expertise.

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Your main responsibilities will be:

• Working with a team passionate about large scale datacenter development and deployment. Assisting in analyzing large scale workloads and searching for application and infrastructure improvement opportunities.
• Developing and implementing a Machine Learning algorithm for rapid classification and prediction. The implementation will integrate into existing software toolsets for usability.
• Delivering actionable cluster insights by analyzing telemetry data and applying machine learning to assist engineers in building creative solutions based on NVIDIA technology.
• Researching and analyzing data, identifying trends of interest, linking changes to recorded events, crafting conclusions and helping the team make intelligent data-based decisions. Exploring methods to describe data and predict events using numerical methods and machine learning.
• Working closely with a mentor to learn more about analysis needs and communicating findings with team members.
• Documenting work and related materials to help us build on top of your contributions.

To succeed in this role, you should have:

• A strong background in Mathematics, Computer Science, Engineering, or another relevant field.
• Strong programming skills, especially in Python.
• Deep Learning framework skills.
• Understanding of core machine learning techniques and concepts.
• Shown debugging and problem-solving skills.
• Knowledge of Linux based operating systems, Python, Bash, C/C++.

It would be great if you had experience with Linux and bash scripting, exposure to high performance or large-scale computing environments and visualization techniques, and strong analytical skills with good attention to detail.

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As a Senior Software Engineer on our DGX Cloud Production Engineering team, you will build and operate automation for large-scale GPU clusters across NVIDIA Cloud Partners (NCP) and on-prem environments. You will develop tools and services for provisioning, validation, upgrades, monitoring, repair, and cluster lifecycle operations. You will improve Day 0 / Day 1 / Day 2 workflows for cluster bringup, handoff, and production operations. You will reduce manual production touches through APIs, GitOps, automation, and agent-assisted workflows. You will participate in on-call, incident response, debugging, and durable follow-up work. You will partner with platform, storage, networking, security, and workload teams to make infrastructure production-ready.

To succeed in this role, you will need 8+ years of experience building or operating production infrastructure. You will need strong programming skills in Python, Go, or similar. You will need experience with Linux, Kubernetes, containers, cloud infrastructure, or infrastructure automation. You will need the ability to troubleshoot distributed systems in production. You will need clear communication and the ability to work across teams. You will need a BS/MS in Computer Science or equivalent experience.

In addition to the above requirements, experience with GPU infrastructure, Kubernetes operators, GitOps, Terraform, ArgoCD, or fleet automation is highly desirable. Experience with SLOs, on-call, incident response, observability, and reliability practices is also highly desirable. Exposure to BMaaS, VMaaS, managed Kubernetes, or multi-cloud infrastructure is highly desirable.

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Key responsibilities include:

• Taking an engineering approach in leading technical initiatives for automating network engineering efforts to guarantee the reliability of the global Elastic infrastructure.
• Growing our global Platform infrastructure to meet the increasing scaling demands by developing and maintaining software, codebases, tooling and automations.
• Collaborating in an environment with an inclusive approach, and focusing on operational perfection which uplifts others.
• Preventing repeated customer impact in response to major incidents and prioritised problem management.

Requirements include:

• 10+ years in Software Engineering with product success in delivering Cloud network solutions.
• Experience in public cloud, Go and managed Kubernetes services is advantageous.
• Success and lessons of experiences from striving for 'progress not perfection' in the name of Platform reliability.
• Passion for developing solutions that involve inclusive communication methods to grow and strengthen partner and team relationships.

Bonus points include:

• Designing and building a SaaS product in a public cloud ideally built using Infrastructure-as-Code tooling such as Crossplane or Terraform.
• Building Kubernetes-at-scale infrastructure, ideally across multiple cloud providers, and the vital automation to support it.
• Writing product features or functions in Golang or other programming languages.
• Working with containerized services (such as Docker).
• Proven results in leading and improving cross-team engineering initiatives.
• Experience in system administration with professional skills in Linux on distributed systems at scale.
• Diagnosing or designing, implementing and creating solutions with the Elastic Stack.
• Experienced in a self-organizing and sharing in a globally distributed team environment.
• Strengthening team members in bringing out the best of each other by uplifting others with coaching and mentoring.

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Your responsibilities will include serving as a subject matter expert for server and systems ecosystems, building technology infrastructure at all classification levels, designing, installing, operating, maintaining, and troubleshooting IT systems consisting of various operating systems with a focus on Linux, and architecting and executing on server/storage infrastructure related to program-specific needs.

You will also support engineering and deployment efforts for multiple classified programs, work in close coordination with the ISSM and ISSO in monitoring the information system(s) implementing configuration management across authorization boundaries, define, document, and follow standards and best practices for systems design, testing, and implementation, drive scripting and automation to develop solutions to common problems, and provision cloud-based resources in both Infrastructure as a Service and Platform as a Service environments.

To be successful in this role, you will need 7+ years of experience in IT infrastructure engineering, a desire to cross-train into other engineering disciplines, ability to operate independently in a fluid environment, advanced scripting skills with both Bash and PowerShell, strong working knowledge of clustered server infrastructure, deep understanding of Active Directory and multi-site architecture, previous experience deploying IT systems in an air-gapped environment, and professional experience with RHEL Image Builder.

Additionally, you will need to possess and maintain at least an active U.S. Secret security clearance and be able to obtain and maintain a U.S. Top Secret security clearance or higher if not already at this level.

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Our team is dedicated to driving innovation and excellence in SI/PI analysis of high-speed interface IP's. We value collaboration, continuous learning, and a can-do attitude. Together, we strive to develop the most advanced technologies and deliver exceptional results for our clients.

As a Staff Engineer, you will be working with a group of highly-skilled, supportive, and globally spread-out teams. You will be responsible for reviewing die, package, and PCB physical layout designs, modelling, simulating, and verifying high-speed interface performance against specifications, participating in the improvement of SI/PI methodology flows, collaborating and networking with other teams on task-oriented projects, and independently driving SI/PI research and development activities.

The impact you will have as a Staff Engineer includes enabling SI/PI sign-off of high-speed interfaces for various Customer SoC/PKG/PCB designs targeting different applications, improving SI/PI methodology flows, increasing efficiency and accuracy, fostering collaboration and innovation across globally distributed teams, driving research and development initiatives of next-gen IP's (MRDIMM, LPDDR6, HBM4, UCIE) to stay ahead in the industry and offer guidance to our customers, and supporting Synopsys' mission to lead in the Era of Pervasive Intelligence.

To be successful as a Staff Engineer, you will need to have a Bachelor's or Master's degree in Electrical or Electronics Engineering, a minimum of 8 years of relevant experience, proficiency in transmission line theory and time/frequency-domain analysis, experienced with SPICE and familiar with 3D field solvers, conversant with working of DDR, HBM, UCIE, and PCIe/Ethernet interfaces, good verbal and written English communication skills, experience in scripting languages such as Python and TCL, and familiarity with both Windows and Linux operating systems.

If you are a proactive and innovative engineer who thrives in a collaborative environment, have a strong technical background and excellent problem-solving skills, and are able to communicate effectively and work well with diverse teams, then this could be the perfect opportunity for you.

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.

What is it like to be an Analog Design Engineer at Synopsys?

Arman Shahmuradyan

Analog Design, Manager

Benefits:

At Synopsys, innovation is driven by our incredible team around the world. We feel honored to work alongside such talented and passionate individuals who choose to make a difference here every day. We're proud to provide the comprehensive benefits and rewards that our team truly deserves.

Visit Benefits Page

• Health & Wellness: Comprehensive medical and healthcare plans that work for you and your family.
• Time Away: In addition to company holidays, we have ETO and FTO Programs.
• Family Support: Maternity and paternity leave, parenting resources, adoption and surrogacy assistance, and more.
• ESPP: Purchase Synopsys common stock at a 15% discount, with a 24-month look-back.
• Retirement Plans: Save for your future with our retirement plans that vary by region and country.
• Compensation: Competitive salaries.

Benefits vary by country and region - check with your recruiter to confirm

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As a Sr Staff R&D Engineer, you will work on RedHawk-SC, a distributed analytics platform that helps engineers solve power and reliability challenges in advanced SoC designs. You will design, develop, and own significant features in RedHawk-SC, drive medium-sized projects with limited oversight, optimize runtime performance and memory efficiency, diagnose and resolve complex defects in C++ on Linux systems, build and strengthen unit, regression, and system-level test coverage, collaborate with technical leads, architects, and engineers to refine designs and integrate solutions, and support the team through code reviews, design discussions, and technical collaboration.

Deliver software that helps semiconductor companies solve power integrity and reliability challenges in advanced chips, improve the performance, scale, and quality of RedHawk-SC for engineers working on complex SoC designs, build features that address customer needs in FinFET, 3D-IC, and stacked-die architectures, raise the quality bar through strong engineering practices and disciplined testing, and contribute to the technical strength of the team through consistent delivery and sound judgment.

You will join the RedHawk-SC Research and Development team, building state-of-the-art software for semiconductor power and reliability analysis. The platform uses distributed big-data analytics to tackle challenges in advanced SoC design, including electromigration, thermal effects, and power noise integrity in FinFET, 3D-IC, and stacked-die architectures.

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As a SEIII/SRE Engineer, you will be responsible for building and operating a unified platform across EA, extracting and processing massive data from spanning 20+ game studios, and using the insight to serve massive online requests. You will also use automation technologies to ensure repeatability, eliminate toil, reduce mean time to detection and resolution (MTTD & MTTR) and repair services.

Your responsibilities will include:

• Building and operating distributed, large-scale, cloud-based infrastructure using modern open-source software solutions
• Helping build and operate a unified platform across EA, extracting and processing massive data from spanning 20+ game studios, and using the insight to serve massive online requests
• Using automation technologies to ensure repeatability, eliminate toil, reduce MTTD & MTTR and repair services
• Performing root cause analysis and post-mortems with an eye towards future prevention
• Designing and building CI/CD pipelines
• Creating monitoring, alerting and dashboarding solutions that improve visibility into EA's application performance and business metrics
• Producing documentation and support tooling for online support teams
• Developing reporting systems that inform on important metrics, detect anomalies, and forecast future results
• Developing and Operating both SQL and NoSQL solutions
• Building complex queries to solve data mining problems
• Developing large-scale online platform to personalize player experience and provide reporting and feedback
• Helping in interviewing and hiring the best candidates for the team
• Helping mentor the team members and help them grow in their skillsets
• Being responsible for driving growth and modernization efforts and projects for the team

To be successful in this role, you will need:

• 7+ years of experience with Virtualization, Containerization, Cloud Computing (AWS preferred), VMWare ecosystems, Kubernetes, or Docker
• 7+ years of experience supporting high-availability production-grade Data infrastructure and applications with defined SLIs and SLOs
• Systems Administration or Cloud experience, including a strong understanding of Linux / Unix
• Network experience, including an understanding of standard protocols/components
• Automation and orchestration experience including Terraform, Helm, Chef, Packer
• Experience writing code in Python, Golang, or Java
• Experience with Monitoring tech stack like Prometheus, Grafana, Loki, Alertmanager
• Experience with distributed system to serve massive concurrent requests
• Experience working with large-scale systems and data platforms/warehouses

If you are passionate about building and operating scalable, reliable, and efficient systems, and have a strong background in software development and operations, we encourage you to apply for this exciting opportunity.

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The role requires a strong knowledge of server/Cloud networking and virtualization technologies and top SW development skills. Kernel & DPDK background is strongly preferred.

Key responsibilities include:

Working with NVIDIA top customers RnD, getting familiar with their applications and needs. Building cutting edge POC prototypes which later to be productize and delivered. Closely work with various development and architecture teams and take major part of SW development.

Requirements include:

Bachelor or above in Computer Science or computer engineering or related discipline or equivalent experience. 5+ years of practical experience. Strong C/C++ programming skills. Experiences using C/C++ in Linux (user and/or kernel modes). Good networking knowledge and be familiar with L2 bridging, L3 routing and protocols such as VLAN, STP, OSPF, BGP, PIM etc. Advantage – knowledge at RDMA, DPDK, NCCL, DeepEP, SONiC, vLLM, SGlang and Network virtualization.

Additional requirements include:

Demonstrated ability to work in a cross-functional team environment. Self-motivated, ability to work with little definition and supervision while multi-tasking and prioritizing across a number of projects and initiatives.

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As a System Products Memory Solutions Engineer, you will be responsible for planning and performing DDR memory tuning, validation, and feature enablement on NVIDIA products. You will review silicon design specifications, component datasheets, board schematics, and layout, and exercise your understanding of digital, analog, and computer design to debug and resolve controller, memory, board, or software/firmware level issues at all stages of the product.

You will refine our memory bringup and validation strategy, providing feedback and recommendations to silicon, board, and software teams. You will work closely with cross-functional teams to ensure successful product development and launch.

To be successful in this role, you will need a BS or MS EE degree with affinity for mixed signal/analog, embedded systems, and digital design (or equivalent experience). You will have 2+ years relevant experience, including understanding of high speed signal integrity and experience with oscilloscopes. You will also have working knowledge of PC systems, windows OS, and Linux, and excellent understanding of EE fundamentals.

You will be eligible for equity and benefits, and will be working in a dynamic and fast-paced environment with opportunities for growth and development.

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Your primary language is Python, and your primary output is automation frameworks and production tooling. You will work hands-on alongside the team lead, co-developing shared codebases and taking full ownership of standalone modules when needed.

Key responsibilities include:

• Design and own Python automation frameworks and tooling that validate security properties of NVIDIA networking products
• Design, develop and maintain Python-based test automation frameworks and test suites for NVIDIA networking products
• Own the full lifecycle of automation modules: design, implementation, debugging, CI/CD integration, and production maintenance
• Collaborate with hardware and security architects to translate specs and vendor APIs into clean Python abstractions
• Collaborate on shared codebases using AI-assisted development tools as a core part of your daily workflow

Requirements include:

• BA/BSc in Computer Science, Computer Engineering or Electrical Engineering (or equivalent)
• 5+ years of software development experience with hands-on Python
• Strong software design fundamentals: object-oriented design is natural to you
• End-to-end ownership: demonstrable experience owning a Python automation project from design through execution
• Proven AI collaboration: you must demonstrate that working with AI-assisted development tools is already part of your development practice
• Module ownership: ability to independently own and deliver standalone software modules
• OS proficiency: proficient in Windows and Linux operating systems
• Excellent verbal and written communication in both Hebrew and English

Preferred qualifications include:

• Automation at scale in production: you have shipped and maintained automation frameworks in real production environments
• You live and breathe AI-assisted development: Vibe Coding is your natural mode of work
• Security domain curiosity: you're intellectually curious about new technical domains and ramp up quickly on specs, vendor APIs, and security concepts when needed
• System-level thinking: you understand the full stack from the code you write to the infrastructure it runs on

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In this role, you will drive execution across complex, cross-functional initiatives spanning software, networking, infrastructure, and system engineering teams. You will be responsible for delivering scalable, reliable, and high-performance management solutions that enable seamless operation of NVIDIA's cutting-edge ML platforms at scale.

This is a highly visible leadership role requiring a combination of strong technical depth, organisational leadership, and execution excellence. You will influence architecture, product direction, engineering processes, and team growth while helping shape technologies at the forefront of AI infrastructure innovation.

Responsibilities

• Lead and grow a team of software engineers developing next-generation networking management and orchestration tools
• Own execution and delivery of major cross-functional initiatives involving multiple engineering teams and stakeholders
• Drive technical strategy, architecture decisions, and long-term roadmap planning for networking management solutions
• Partner closely with software, networking, firmware, hardware, DevOps, and system architecture teams to deliver scalable and reliable solutions
• Establish engineering best practices, operational excellence, and high development standards across the team
• Mentor engineering leaders and senior engineers, fostering technical growth and leadership development
• Balance technical leadership with organisational execution in a fast-paced and rapidly evolving environment
• Provide hands-on technical guidance, debugging support, and architectural direction when required

Requirements

• Bachelor's degree in Computer Science, Electrical Engineering, or equivalent practical experience
• 8+ overall years of software industry experience, including 3+ years managing software engineering teams
• Proven experience leading complex, large-scale software projects across multiple teams and disciplines
• Strong software development background in C/C++
• Demonstrated ability to drive execution, resolve ambiguity, and deliver high-quality products in fast-paced environments
• Strong system-level thinking and problem-solving skills
• Excellent communication, collaboration, and stakeholder management skills
• Proven ability to influence technical direction and organisational priorities

Nice to Have

• Experience with Linux, networking technologies, or distributed systems
• Experience building infrastructure, management, orchestration, or observability platforms
• Experience leading geographically distributed or multi-disciplinary engineering teams
• Background in AI/ML infrastructure, datacentre technologies, or high-performance computing environments
• Experience scaling organisations, mentoring managers or technical leaders, and driving organisational maturity

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We are currently seeking an experienced professional to join our team in the role of Consultant Specialist.

As a Consultant Specialist, you will provide IT project delivery, assist project managers on project planning, stakeholder communication, development, testing, release, and so on. You will lead or assist teammates to provide business and technical solutions that fit business needs. You will be accountable for a product or service, identifying and developing the most appropriate technology solutions to meet customer needs as part of the Customer Journey.

You will liaise with other teams, including architects, business stakeholders, and so on, to understand and drive the product or service's direction. You will conduct end-to-end system tests, user acceptance tests, and provide support on system implementation. You will ensure a high-quality standard of deliverables according to HSBC standards and best practices.

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent experience)
• 8+ years rich hands-on experience in development
• Experience of delivering high-quality and complex system solutions
• Excellent written and spoken communication skills
• Proven hands-on experience with Java, Spring, Spring Boot, and Spring Cloud
• Familiar with Linux and Shell script, JavaScript (ES6+), HTML5, and CSS3
• Knowledge of testing frameworks and best practices for back-end testing
• Solid experience in CI/CD tools, such as GitHub, Maven, Groovy, Nexus, Jenkins
• Knowledge and experience with Distributed systems, Micro-service architecture, and APIs
• Knowledge and experience with relational database
• Knowledge of DevOps (CI/CD pipelines, test automation, and toolings, etc)
• Able to work in Agile working model
• Strong passion for technology and engineering

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Your meticulous review and verification processes will help maintain high data standards and facilitate the development of more accurate and reliable autonomous driving algorithms.

Responsibilities: Review and validate data collected from test drives to ensure completeness, accuracy, and relevance Develop and implement automation scripts to streamline data verification processes Identify anomalies, inconsistencies, and quality issues in collected datasets Assist with data annotation and labeling to support machine learning model training Document quality standards and create comprehensive reports on data quality metrics Collaborate with engineering teams to improve data collection methodologies Support the continuous improvement of data verification workflows

We're looking for someone who has: 2+ years experience in data analysis, quality assurance, or related technical field Familiarity with data annotation tools and workflows Experience with data validation techniques and quality control processes for AV domain Attention to detail and analytical mindset Experience with sensor data (LiDAR, radar, camera) from autonomous vehicles Strong problem-solving abilities and communication skills

Nice to have: Experience with data visualization tools Prior experience in autonomous vehicle or automotive industries Programming skills in Python or similar languages for automation script development Experience with Linux Experience with software tools/services like Slack, Jira, and Confluence Experience with Google Workspace

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Key responsibilities include:

• Managing project timelines and ensuring adherence to schedules
• Evaluating and addressing change requests and technical issues reported by customers
• Collaborating with R&D teams to plan new developments, updates, and enhancements to existing products
• Representing the product line both internally and externally, ensuring clear communication of project status to key customers

Requirements include:

• A degree in Engineering or Applied Science (or equivalent) with 8+ years of relevant experience
• Proven experience in communicating with and managing customer expectations
• Background in Mixed-Signal IP, SOC, ASIC, or semiconductor development environments
• Experience in program or project management with proficiency in standard project management tools

As a Project Engineering Manager, you will be part of a dynamic team focused on Mixed-Signal semiconductor Intellectual Property (MSIP) projects. The team collaborates closely with R&D, Sales, Marketing, Customer Support, and IP Program Management teams to deliver high-quality products.

If you are a motivated and experienced project manager looking for a new challenge, please submit your application.

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In this role, you will participate in the full development life-cycle of the product. You will act as both a technical leader, as well as, a career mentor. Similarly, you will bridge the gap between engineering, product, and project management teams.

Responsibilities:

• Set the algorithmic direction (trajectory planning, decision making) for the function
• Provide the generalized software architecture
• Design system interfaces that are general and scale-able across multiple programs with different customers
• Build an ambitious testing infrastructure to mature the feature through automated regressions, unit testing, as well as in-vehicle evaluations
• Collaborate with system engineering to write succinct and achievable engineering requirements at the vehicle, subsystem, and element level
• Provide career development to each of your team members through constructive reviews and performance feedback

Requirements:

• BS or higher in an engineering or technical field (Mechanical, Electrical, Computer Science, Physics, etc.) or equivalent experience
• 8+ years of software product experience
• 3+ years of team lead or management experience
• Experience writing software in C++ or C
• Conversant with an Agile/Scrum software development environment using Gerrit (or similar), Jira, and Confluence
• Well practiced developing software with GIT in a Linux environment

To stand out from the crowd:

• Experience shipping ADAS or Autonomy functions in a software driven culture
• Experience shipping products, especially building from a clean sheet design
• Background in building a robust software testing infrastructure
• Experience developing algorithms for physical systems and maturing such algorithms to real products
• A background in automotive systems, including system architecture and CAN communication

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This role is for a systems-minded engineer who may not have prior chip-design or CAD-flow experience, but has strong fundamentals in Linux, automation, configuration systems, scripting, and production infrastructure. You will work alongside senior platform and flow architects to evolve existing Tcl, Make, Perl, Python, YAML, and job-launch infrastructure into a clearer control-plane platform for complex engineering workflows.

Key Responsibilities:

• Build and maintain workflow-platform features across YAML configuration, generated artifacts, Make targets, Perl/Python utilities, Tcl checks, and structured output files
• Help model workflow stages, inputs, outputs, validation signals, generated files, dependencies, status, and ownership in configuration and manifests
• Create machine-readable check results, run manifests, provenance records, log summaries, and status outputs that make behavior easier to inspect and debug
• Strengthen early-failure checks for missing files, stale generated data, invalid configuration, bad environment setup, scheduler issues, and incomplete run state
• Add and test integrations with distributed job execution, shared compute, filesystem state, data-fidelity tracking, and dependency tracing
• Work with senior engineers and users to reproduce failures, trace configuration behavior, improve diagnostics, update documentation, and preserve existing workflows

Requirements:

• B.S. or M.S. in CS, EE, CE, or equivalent experience
• 4+ years building automation, developer infrastructure, workflow platforms, distributed systems, test infrastructure, or engineering productivity tools
• Strong Linux fundamentals, including shell debugging, environment setup, filesystem behavior, process execution, logs, exit codes, and background jobs
• Practical programming experience in Python, Perl, Go, C++, or similar, and comfortable reading and modifying Make, YAML, JSON, and shell-based infrastructure
• Ability to reason carefully about configuration layers, generated files, schemas, validation rules, compatibility, and incremental migration of legacy systems
• Strong debugging habits, clear written communication, and experience improving production infrastructure without destabilizing active users

Nice to Have:

• Exposure to semiconductor design or EDA workflows, especially RTL, synthesis, place-and-route, timing, signoff, ECO, or handoff flows
• Background with workflow engines, build systems, CI/CD platforms, job schedulers, deployment automation, data pipelines, or large-scale engineering automation
• Experience improving legacy Make, Perl, shell, Python, or Tcl systems while preserving existing behavior
• Experience creating structured logs, JSON/YAML schemas, validation frameworks, provenance tracking, dashboards, or observability tools
• Background with shared filesystems, partial writes, stale state, locking, reproducibility, generated artifacts, batch jobs, tests, migrations, documentation, or debug tooling

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

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We are looking for a Senior Data Engineer to join our Financial Systems Engineering team. This role involves building the foundational systems that support NVIDIA's high-performance financial infrastructure. This individual will play an important role in building scalable cloud services that integrate with diverse financial systems, enabling operational automation across global financial operations.

Pipeline Architecture & Integrity: Architect event-driven pipelines (Kafka) and develop new data models that ensure transactional integrity (ACID) for commercial events like invoices, payments, and adjustments.

Scalable Data Solutions: Automate scalable ETL processes and refactor next-generation data architectures to improve quality, security, and coverage for rapidly growing business demands.

Operational Excellence: Collaborate across teams to codify business processes into self-measuring systems, debugging complex challenges to ensure the reliability of financial operations.

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!

You will also be eligible for equity and benefits.

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As a Senior System Software Engineer, you will be responsible for adaptation of NVIDIA Drive software on development and production vehicles. You will triage, analyze, and diagnose complex issues across safety-critical ADAS and autonomous driving systems , from sensor inputs to function-level behaviors.

Collaborate with OEM and NVIDIA teams to root cause software and functional problems, propose immediate solutions as well as long-term corrective actions. Support NDAS function bring-up activities on the partner vehicle platforms.

Understanding the SW builds, assessing the functional performance from data and understanding the functional issues. Debug and verify NDAS functions including driving, parking and active safety.

Drive end-to-end traceability , from requirements to test results , and ensure rigor in quality reporting and validation coverage.

Work across international, multidisciplinary teams (Europe, US, APAC, India) to coordinate fixes and feature enhancements efficiently.

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Key Responsibilities:

• Design, implement and maintain large scale HPC/AI clusters with monitoring, logging and alerting
• Manage Linux job/workload schedules and orchestration tools
• Develop and maintain continuous integration and delivery pipelines
• Develop tooling to automate deployment and management of large-scale infrastructure environments, to automate operational monitoring and alerting, and to enable self-service consumption of resources
• Deploy monitoring solutions for the servers, network and storage
• Perform troubleshooting bottom up from bare metal, operating system, software stack and application level
• Being a technical resource, develop, re-define and document standard methodologies to share with internal teams
• Support Research & Development activities and engage in POCs/POVs for future improvements

Requirements:

• A degree in Computer Science, Engineering, or a related field and 8+ years of experience
• Knowledge of HPC and AI solution technologies from CPU's and GPU's to high speed interconnects and supporting software
• Experience with job scheduling workloads and orchestration tools such as Slurm, K8s
• Excellent knowledge of Windows and Linux (Redhat/CentOS and Ubuntu) networking (sockets, firewalld, iptables, wireshark, etc.) and internals, ACLs and OS level security protection and common protocols e.g. TCP, DHCP, DNS, etc.
• Experience with multiple storage solutions such as Lustre, GPFS, Weka.io. Familiarity with newer and emerging storage technologies.
• Python programming and bash scripting experience.
• Comfortable with automation and configuration management tools such as Jenkins, Ansible, Puppet/chef
• Deep knowledge of Networking Protocols like InfiniBand, Ethernet
• Deep understanding and experience with virtual systems (for example VMware, Hyper-V, KVM, or Citrix)
• Familiarity with cloud computing platforms (e.g. AWS, Azure, Google Cloud)

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Ford's Research and Advanced Engineering team takes new ideas from theory to reality. Every day, we develop advanced energy management and propulsion technologies, create cutting-edge materials and manufacturing processes, and curate world-class cabin experiences that redefine what it means to drive a Ford.

In this position, we are seeking a Vehicle Controls Engineer - Propulsion Controls to join a world-class group dedicated to building cutting-edge propulsion, energy, and thermal systems. You will play a pivotal role in defining how our future vehicles perform, operate, and feel. This role designs and develops advanced vehicle control algorithms for next-generation powertrain systems to deliver superior vehicle attributes.

The Vehicle Controls Engineer - Propulsion Controls will direct impact driving the end-to-end development process, including control architecture selection, algorithm simulation, and software implementation.

Core Responsibilities:

• Develop vehicle control algorithms for advanced powertrain systems to deliver vehicle attributes, including control architecture selection, algorithm simulation, implementation, and verification and validation via leveraging a combination of model-in-the-loop (MIL), software-in-the-loop (SIL), hardware-in-the-loop (HIL) and vehicle test environments

• Support controls team with creation, maintenance, troubleshooting of development of platform tools: software build system, software version and calibration management, data repository management, context-specific AI tools

• Leverage, subsystem- and component-level CAE models to analyze dynamic systems and complex system interactions, and to support concept analysis and verification, parameter optimization, and controls/design verification and validation

• Define and review physical system testing and characterization to validate CAE models and guide vehicle and control system design

• Provide controls and software support to Systems Engineering and Functional Safety work partners

• Create and maintain comprehensive documentation to support global engineering and quality processes, and to facilitate technology transfer: system models, use cases, requirements, design validation tests and methods

• Support and present research on the application of advanced controls and methods for advanced powertrain systems

• Leverage connected vehicle technologies (wireless communication, location and route data, cloud-compute resources, AI/ML techniques, etc.) to improve customer experience with enhanced controls and prognostics

Qualifications:

• M.S. or equivalent in mechanical, aerospace, electrical, systems engineering or similar field with a control systems focus

• 6+ years of experience in dynamic systems modeling and real-time controls development for automotive or similar complex electromechanical systems

• 6+ years in roles requiring understanding of automotive powertrain (including hybrid electrical vehicle) systems and controls, and vehicle dynamics with fundamental knowledge of general dynamics, hydraulics, electric machines, batteries, internal combustion engines, and mechatronic actuators

• 6+ years in roles demonstrating the ability to develop controls software for embedded targets using C or C++

• 6+ years in roles demonstrating the ability to use Matlab/Simulink or Python for system modeling, simulation, scripting, and data analysis

• 6+ years of experience working in Linux, Unix and Windows environments

• 6+ years of experience with unit testing platforms for tools development (pytest, Google Test, Ceedling)

• 6+ years experience with standard systems engineering tools including boundary diagrams, fault tree analyses, FMEAs, P-diagrams, etc.

• 6+ years in roles demonstrating excellence in problem-solving (with a passion for new technology development)

• 6+ years of experience in roles requiring effective communication, documentation, and interpersonal skills in a team environment and the ability to work well with others as part of a diverse global team

Additional Desired Skills:

• Ph.D. or equivalent in mechanical, aerospace, electrical, systems engineering or similar field

• 3+ years of experience in distributed systems engineering including requirements management, function decomposition and allocation, failure mode avoidance, robustness analysis, and system validation and verification

• Experience with modern build systems (Bazel, Gradle) and continuous integration and continuous delivery systems (Jenkins, GitHub Actions)

• Experience with longitudinal controls for xEV systems (series hybrid, parallel hybrid, mild hybrid, battery electric, fuel cell)

• Familiarity with ISO26262 engineering tools including Hazard Analysis, Functional Safety Concept, Safety Requirements Specification, Functional Safety Requirements, Technical Safety Requirements

• Hands-on experience with distributed system prototyping, troubleshooting, and commissioning

• Experience using Matlab/Simulink for embedded controls development

• Experience with standard version control and collaboration systems (ClearCase, AccuRev, git, GitHub)

• Experience applying CAE (MIL/SIL/HIL, virtual system/plant models, regression testing) concepts and CI (Jenkins, GitHub, Gradle) tools in robust system controls development

• Knowledge of automotive communication protocols (CAN, LIN) and experience with analysis tools including CANalyzer, CANape, CANLab, etc.

• Familiarity with Ford development processes GTDS and GPDS

• Familiarity with Ford systems engineering systems and tools including VSEM, FEDE, Stages, FRD, HLF

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:

• Immediate medical, dental, vision and prescription drug coverage

• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more

• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more

• Vehicle discount program for employees and family members and management leases

• Tuition assistance

• Established and active employee resource groups

• Paid time off for individual and team community service

• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day

• Paid time off and the option to purchase additional vacation time.

This position is a salary grade 7 or 8 and ranges from $118,700-$232,700.

Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.

For more information on salary and benefits, click here:https://fordcareers.co/GSR

Visa sponsorship is not available for this position.

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States.

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Your responsibilities will include:

• Defining, designing, developing and verifying features for our new SoCs platforms, collaborating with hardware engineers and fellow software engineers.
• Following the new SOC platforms all the way through the development process to the customer products that are used throughout the world.
• Being heavily involved with the early firmware, performance, power management, and all of system software required to produce our world-class products.
• Having multiple opportunities to collaborate and communicate effectively with teams across the globe.

To succeed in this role, you will need:

• A BS, MS or PhD degree in Computer Engineering, Computer Science, or related degree, or equivalent experience.
• 5+ years of significant software development experience.
• Strong C programming, C++, low-level driver and SOC system platform experience.
• Familiarity with computer system architecture, microprocessor, and microcontroller fundamentals.
• Kernel experience with Linux, Android, Chrome, or Windows systems.
• Experience with complex SOC system debugging is invaluable.

If you have a background and strength with complex SOC, AI & GPU computing system architecture design, a deep understanding of SOC firmware, power management, and performance, and experience or outstanding delivery with SOC system SW, e.g. performance tuning and power management, then we would love to hear from you.

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HF Verification Engineer

Athens, Attica, Greece

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We Are:

At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.

You Are:

You are a passionate engineer eager to make a tangible impact in the world of electronics and semiconductor technology. With a foundation in engineering or computer science and a strong understanding of high-frequency principles, you thrive in environments where precision and quality are paramount. You possess a keen analytical mind, able to dissect complex systems, spot potential flaws, and devise robust testing strategies that ensure products exceed customer expectations. Your experience with software testing, combined with technical proficiency in scripting, enables you to automate and streamline verification processes efficiently.

You enjoy collaborating with multidisciplinary teams, communicating technical insights, and contributing to a culture of continuous improvement. Adaptable and quick to learn, you embrace new technologies and computing environments, from Windows and Linux to cloud platforms. Your attention to detail and commitment to quality drive you to pursue excellence in every aspect of your work. You are motivated by the opportunity to work with cutting-edge tools like Ansys HFSS and HFSS 3D Layout, and you are excited to help shape products that advance the industry. If you value teamwork, innovation, and the pursuit of technical excellence, Synopsys offers you a place to grow and make a difference.

What You’ll Be Doing:

• Designing, specifying, and writing comprehensive test cases to validate software functionality and performance.

• Developing, updating, and maintaining test scripts for both manual and automated test environments.

• Conducting functional, regression, application, and performance testing to ensure product reliability and quality.

• Creating detailed test plans, participating in defect management processes, and tracking testing metrics.

• Collaborating closely with developers and technical specialists to understand, reproduce, and resolve product defects.

• Working across diverse computing environments, including Windows, Linux, virtual machines, compute clusters, and cloud platforms.

• Ensuring that product releases meet feature specifications and quality standards before approval for deployment.

The Impact You Will Have:

• Elevate the quality and reliability of Synopsys’ industry-leading engineering software, directly impacting customer satisfaction and trust.

• Accelerate product development cycles by identifying and resolving defects early in the process.

• Ensure that new features and enhancements meet rigorous standards, supporting the success of advanced technology solutions in the market.

• Contribute to the successful deployment of products used in high-impact industries, such as electronics, semiconductors, and communications.

• Enhance collaboration between development and quality assurance teams, driving continuous process improvement.

• Support Synopsys’ reputation for technical excellence and innovation, helping to maintain our leadership position in the industry.

What You’ll Need:

• BS in Engineering or related field with at least 3 years of experience, or MS with at least 1 year of experience.

• Technical background in high-frequency principles and applications, including RF and microwave electronics, antennas, signal integrity, and EMI/EMC.

• Proficiency in programming and scripting languages, particularly Python.

• Experience with software testing methodologies, including functional, regression, and performance testing.

• Familiarity with computing environments such as Windows, Linux, virtual machines, compute clusters, and cloud platforms.

• Experience with EDA/CAE software and analysis tools (Ansys HFSS experience is a plus).

• Strong attention to detail and the ability to create, modify, and maintain complex test scripts.

Who You Are:

• Detail-oriented, analytical, and committed to delivering high-quality work.

• Quick learner who adapts easily to new technologies and processes.

• Effective communicator and collaborator, able to work across distributed teams.

• Open-minded and eager to contribute innovative ideas.

• Proactive problem solver with strong interpersonal skills.

The Team You’ll Be A Part Of:

You will join the Electronics, Semiconductor and Optics Business Unit (ESOBU), a dynamic team dedicated to advancing Synopsys’ industry-leading products. Our team focuses on developing and verifying software applications that enable customers to design, simulate, and optimize complex electronic systems. We foster a collaborative environment where technical specialists, developers, and verification engineers work together to deliver excellence and drive innovation.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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You thrive in environments where legacy systems intersect with new architectural demands, and you are unfazed by limited documentation or ambiguous requirements. You enjoy collaborating with diverse teams, sharing knowledge, and learning from peers to deliver robust engineering solutions. Your adaptability and analytical mindset allow you to navigate intricate software landscapes, and you are motivated by the potential to make a significant impact on industry-leading simulation technologies. You approach every task with integrity, curiosity, and a relentless drive to improve performance, scalability, and user experience. Your communication skills foster trust and clarity, making you a valued contributor to cross-functional initiatives. Whether leading migration efforts or optimizing runtime, you consistently deliver excellence and innovation, ensuring that Synopsys remains at the forefront of simulation software development.

Your responsibilities will include:

• Leading the migration of core simulation code from x86 to ARM, ensuring seamless support for all simulation features across Linux and Windows platforms.

• Optimizing low-level components for runtime and memory performance, focusing on custom memory managers and database code for input, output, and simulation database creation.

• Enhancing simulation data processing capabilities by implementing advanced parallelization techniques using multithreading and MPI for high-performance scaling.

• Maintaining and modernizing mature C/C++/Fortran codebases, navigating complex legacy systems with limited documentation.

• Collaborating with cross-functional teams to interface simulation software with other components, fostering integration and innovation.

• Contributing to infrastructure enhancements that improve the reliability, scalability, and maintainability of the simulation platform.

The impact you will have includes:

• Accelerating the modernization of a market-leading engineering simulation software, ensuring its continued relevance and performance in a rapidly evolving landscape.

• Driving significant improvements in simulation runtime and memory consumption, directly benefiting end users and enabling more complex engineering analyses.

• Supporting Synopsys' position as a technology leader by enabling cross-platform compatibility and high-performance computing capabilities.

• Laying the groundwork for future innovation by architecting scalable, efficient, and maintainable simulation software infrastructure.

• Enhancing collaborative workflows and integration with other Synopsys products, broadening the impact and reach of simulation technology.

• Helping shape the next generation of engineering simulation tools, empowering customers to solve real-world challenges with greater speed and precision.

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Responsibilities include:

• Certifications like CISA, CRISC, CGEIT, Security+, CASP+, or similar.
• Driving continual improvement in processes, procedures, and automations to improve the quality and effectiveness of the team.
• Participating in a 24/7 on-call rotation performing security incident response.
• Commandeering security incidents and updating stakeholders.
• Identifying and developing new detection use cases and optimising existing detections.
• Collaborating on technical directions and solutions with other teams.
• Researching and analysing patterns in security events across xAI's global infrastructure.
• Identifying, designing, and leading threat hunting missions to quantify and reduce threats.
• Managing and supporting the log collection, security scanning, intrusion detection, and other security-related systems.
• Designing and assisting in the development of automation to reduce false positives and handle events automatically.
• Analysing the security posture of systems via testing and vulnerability impact analysis.

Basic qualifications include:

• 2+ years of relevant information security experience.
• Being a self-starter, able to receive a task and execute with minimal supervision.
• Having strong Python scripting skills for implementing security automation.
• Knowledge of networking and macOS, Windows, or Linux operating systems.
• Knowledge of cloud security fundamentals and practices (vendor agnostic).
• Experience managing and/or deploying security technology.
• Experience with building queries and dashboards for security monitoring.
• Knowledge of current threats and techniques and a desire to research and learn more.
• Experience with malware analysis, forensics, or penetration testing.
• Problem-solving skills or experience with troubleshooting.

Preferred skills and experience include:

• Elastic/OpenSearch or similar platforms.
• Open Source security automation tooling.

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