Scale's rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world.

Our core work consists of creating custom AI applications that will impact millions of citizens, generating high-quality training data for national LLMs, and upskilling and advisory services to spread the impact of AI.

As a Principal AI Ops Architect, you will design and develop the production lifecycle of full-stack AI applications, while supporting end-to-end system reliability, real-time inference observability, sovereign data orchestration, high-security software integration, and the resilient cloud infrastructure required for our international government partners.

At Scale, we're not just building AI solutions,we're enabling the public sector to transform their operations and better serve citizens through cutting-edge technology.

Responsibilities

• Own the production outcome: Take full accountability for the long-term performance and reliability of AI use cases deployed across international government agencies.
• Ensure Full-Stack integrity: Oversee the end-to-end health of the platform, ensuring seamless integration between the AI core and all full-stack components, from APIs to UI, to maintain a responsive and production-ready environment.
• Scale the feedback loop: Build automated systems to monitor model performance and data drift across geographically dispersed environments, ensuring the right levels of reliability.
• Navigate global compliance: Manage the technical lifecycle within diverse regulatory frameworks.
• Incident command: Lead the response for production issues in mission-critical environments, ensuring rapid resolution and building the guardrails to prevent them from happening again.
• Bridge the gap: Translate deep technical performance metrics into clear insights for senior international government officials.
• Drive product evolution: Partner with our Engineering and ML teams to ensure the lessons learned in the field directly influence the technical architecture and decisions of future use cases.

Ideal Candidate

• Experience: 6+ years in a high-impact technical role (SRE, FDE or MLOps) with experience in the public sector.
• Global perspective: Familiarity with international government security standards and the complexities of deploying sovereign AI.
• System architecture proficiency: Proven experience maintaining production-grade applications with a deep understanding of the full request lifecycle-connecting frontend/API layers to the backend and AI core.
• Modern AI Stack expertise: Proficiency in coding and the modern AI infrastructure, including Kubernetes, vector databases, agentic development, and LLM observability tools.
• Ownership: You treat every production deployment as your own. You race toward solving hard problems before the customer even sees them.
• Reliability: You understand that in the public sector, a model failure may be a risk to public safety or privacy.
• Customer communication: The ability to explain to a high-ranking official why the performance of the system has degraded and how we are fixing it.

Benefits

• Competitive salary and benefits package
• Opportunity to work with a leading AI company
• Collaborative and dynamic work environment

About Us

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact.

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We are looking for software engineers, hardware engineers, roboticists, and front-end mobile developers who are excited about creating a powerful robotics platform that can be tasked and viewed in real-time through a variety of interfaces.

Key responsibilities include:

• Conceptualizing system architecture for upgrades and enhancements to existing vehicle systems
• Conceptual designs of small drones including sizing, system performance, and initial prototyping
• Layout system design plans and interfaces for new UAV products and platforms
• Working within a team of multidisciplinary engineers and specialists throughout the life of UAV design and integration process
• Managing tactical engineering efforts, interfacing between different engineering and test disciplines
• Drafting and developing test plans for critical subsystems, and supporting vehicle level acceptance testing
• Developing interface controls for partners and customers for hardware, software, and electrical integration of complex and unique payloads with existing and new Anduril UAVs
• Achieving maximum uptime by leading vehicle data analysis efforts to identify performance trends and develop predictive failure models
• Supporting build and benchtop testing of new vehicle systems
• Conducting hands-on UAV testing with occasional travel

Required qualifications include:

• 7-10 years of industry experience, including system architecture
• Familiarity with concepts of systems engineering, mechanical engineering, electrical engineering, software development, and control theory
• Demonstrated experience with conceptual design and vehicle system architecture
• Proven track record of progressing from clean sheet design to functioning hardware
• Hands-on build and prototyping of complex robotic or aircraft systems
• A passion for systems development, integration, and testing
• Knowledge of electronics troubleshooting and ability to use basic test equipment
• Extremely organized and detail-oriented
• Excellent verbal and written communication skills
• A sincere commitment to fostering a positive, inclusive, and collaborative culture
• Ability to travel as required for test planning and execution
• Must be able to obtain and hold a U.S. Top Secret security clearance

Preferred qualifications include:

• Experience developing electromechanical system models to inform the design, operation, and troubleshooting of complex subsystems
• Hands-on manufacturing and/or flight testing experience
• Experience in design engineering
• Experience in software engineering
• Understanding of aerodynamics, avionics, and flight systems

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This role involves close collaboration with teams across infrastructure, compute, and platform to ensure our storage services scale automatically and seamlessly while maximizing performance and reliability.

Key responsibilities include:

• Design and implement a highly scalable multi-tenant control plane that supports CoreWeave's growing AI storage and cloud infrastructure needs.
• Contribute to the development of exabyte-scale, S3-compatible object storage, distributed file system and integrate dedicated storage clusters into diverse customer environments.
• Work with technologies such as RDMA, GPU Direct Storage, RoCE, InfiniBand, SPDK, and distributed filesystems to optimize storage performance and efficiency.
• Participate in efforts to improve the reliability, durability, and observability of our storage stack.
• Collaborate with operations teams to monitor, analyze, and optimize storage systems using telemetry, metrics, and dashboards to improve performance, latency, and resilience.
• Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack.
• Share your knowledge and mentor other engineers on best practices in building distributed, high-performance systems.

The ideal candidate will have:

• A Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 6–10 years of experience working in storage systems engineering or infrastructure.
• Strong hands-on experience with object storage or distributed filesystems in production environments.
• Experience with one or more storage protocols (e.g. S3, NFS) and file systems such as Ceph, DAOS, or similar.
• Proficiency in a systems programming language such as Go, C, or Rust.
• Familiarity with storage observability tools and telemetry pipelines (e.g., ClickHouse, Prometheus, Grafana).
• Solid understanding of cloud-native infrastructure, Kubernetes, and scalable system architecture.
• Strong debugging and problem-solving skills in distributed, high-performance environments.
• Clear communicator, able to work collaboratively across teams and share technical insights effectively.

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This role is ideal for someone who thrives at the intersection of research and systems engineering: a builder who understands both the math of optimization and the realities of distributed compute.

Responsibilities:

• Design and optimize distributed training infrastructure for large-scale LLMs, focusing on performance, stability, and reproducibility across multi-GPU and multi-node setups.
• Implement and evaluate low-precision numerics (for example, BF16, MXFP8, NVFP4) to improve efficiency without sacrificing model quality.
• Develop kernels and communication primitives that use hardware-level support for mixed and low-precision arithmetic.
• Collaborate with research teams to co-design model architectures and training recipes that align with emerging numeric formats and stability constraints.
• Prototype and benchmark scaling strategies such as data, tensor, and pipeline parallelism that integrate precision-adaptive computation and quantized communication.
• Contribute to the design of our internal orchestration and monitoring systems to ensure that thousands of distributed experiments can run efficiently and reproducibly.
• Publish and share learnings through internal documentation, open-source libraries, or technical reports that advance the field of scalable AI infrastructure.

Skills and Qualifications:

Minimum qualifications:

• Bachelor’s degree or equivalent experience in computer science, electrical engineering, statistics, machine learning, physics, robotics, or similar.
• Understanding of deep learning frameworks (e.g., PyTorch, JAX) and their underlying system architectures.
• Thrive in a highly collaborative environment involving many, different cross-functional partners and subject matter experts.
• A bias for action with a mindset to take initiative to work across different stacks and different teams where you spot the opportunity to make sure something ships.
• Strong engineering skills, ability to contribute performant, maintainable code and debug in complex codebases in areas such as floating-point numerics, low-precision arithmetic, and distributed systems.

Preferred qualifications , we encourage you to apply if you meet some but not all of these:

• Familiarity with distributed frameworks such as PyTorch/XLA, DeepSpeed, Megatron-LM.
• Experience implementing FP8, INT8, or block-floating point (MX) formats and understanding their numerical trade-offs.
• Prior contributions to open-source deep learning infrastructure such as PyTorch, DeepSpeed, or XLA.
• Publications, patents, or projects related to numerical optimization, communication-efficient training, or systems for large models.
• Experience training and supporting large-scale AI models.
• Track record of improving research productivity through infrastructure design or process improvements.

Logistics:

• Location: This role is based in San Francisco, California.
• Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $350,000 - $475,000 USD.
• Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.
• Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.

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At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world's largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.

We protect and accelerate any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks.

We were named to Entrepreneur Magazine's Top Company Cultures list and ranked among the World's Most Innovative Companies by Fast Company.

Available Locations:

Remote in US and Europe

Principal VM Engineer – Workers Runtime Team

About the Department

The Emerging Technologies & Incubation (ETI) team at Cloudflare builds and launches bold, new products that push the boundaries of what's possible on the internet. By leveraging Cloudflare's massive network and edge computing capabilities, we solve complex problems at a scale few others can achieve.

About the Team

The Workers Runtime team is responsible for the execution environment that runs customer code at the edge. We focus on performance, security, and scalability, enhancing JavaScript APIs, WebAssembly support, and system optimizations to prepare for the next 10x scale increase. Our runtime operates in a resource-constrained, highly secure environment, requiring careful management of memory, CPU, and I/O.

What You'll Do

We are looking for a VM Engineer to help improve and embed the V8 virtual machine in our runtime. You'll work on low-level optimizations, performance enhancements, garbage collection, and language support to ensure our platform remains cutting-edge. This role is ideal for engineers who love tackling high-performance, low-latency challenges in distributed environments.

Key Responsibilities

• Optimize and embed the V8 VM within Cloudflare's Workers Runtime.
• Improve JavaScript execution performance and WebAssembly integration.
• Debug, optimize, and enhance low-latency, real-time environments.
• Ensure the reliability and efficiency of large-scale, Linux-based distributed systems.
• Collaborate with engineers across runtime, security, and networking teams to push the boundaries of edge computing.

What We're Looking For

• 6+ years of professional experience with C++.
• 4+ years of hands-on VM/compiler experience, ideally with V8.
• Strong knowledge of computer science fundamentals, including data structures, algorithms, and system architecture.
• Experience with low-latency environments (e.g., game streaming, trading systems, high-performance computing).
• Operational mindset – you build scalable, production-ready solutions.
• Deep understanding of web technologies (HTTP, JavaScript, WASM).

Bonus Points

• Experience working with Rust in high-performance distributed systems.
• Familiarity with serverless platforms and cloud computing.
• Deep knowledge of JS engine internals (V8, SpiderMonkey, JavaScriptCore).
• Experience with standalone WebAssembly runtimes (Wasmtime, Wasmer, Lucet).
• Strong expertise in Linux/UNIX systems, kernels, and networking.
• Contributions to large open-source projects.

This is an exciting opportunity to work on cutting-edge compiler and runtime technologies at an unmatched scale. If you're passionate about high-performance computing, distributed systems, and compilers, we’d love to hear from you!

## ##

What Makes Cloudflare Special?

We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released.

Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you’d like to be a part of? We’d love to hear from you!

This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.

Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

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We're building a state-of-the-art Customer Data Platform, visualizing relevant insights for businesses post-onboarding and guiding customer engagement across all touch-points. Be part of the team that's redefining the way businesses connect with their customers!

Responsibilities:

• Design, implement, and maintain backend services and APIs to support applications.
• Build and optimize data storage solutions using Postgres, ClickHouse and Elasticsearch to ensure high performance and scalability.
• Collaborate with cross-functional teams, including frontend engineers, data scientists, and machine learning engineers, to deliver end-to-end solutions.
• Monitor and troubleshoot performance issues in distributed systems and databases.
• Write clean, maintainable, and efficient code following best practices for backend development.
• Participate in code reviews, testing, and continuous integration efforts.
• Ensure security, scalability, and reliability of backend services.
• Analyze and improve system architecture, focusing on performance bottlenecks, scaling, and security.

Qualifications We Value:

• Proven experience as a Backend Engineer with a focus on database design and system architecture.
• Strong expertise in ClickHouse or similar columnar databases for managing large-scale, real-time analytical queries.
• Hands-on experience with Elasticsearch for indexing and searching large datasets.
• Proficient in backend programming languages such as Python, Go.
• Experience with RESTful API design and development.
• Solid understanding of distributed systems, microservices architecture, and cloud infrastructure.
• Experience with performance tuning, data modeling, and query optimization.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork abilities.

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This critical role is focused on maximizing retention by delivering a seamless, valuable, and consistent service through a hybrid digital and human approach, directly improving product adoption and customer engagement.

You will establish a digital-first baseline of automated touchpoints for all scaled (downmarket) customers, complete with clear, data-driven escalation paths to human support for complex issues.

Simultaneously, you will deliver workflows and automation that enable our Customer Success Architects to work faster and smarter.

The ideal candidate thrives at the intersection of process, technology, and customer experience, and will be responsible for creating the playbooks and automations required to service a large volume of customers effectively and efficiently.

Responsibilities:

• Define and execute the comprehensive digital Customer Experience (CX) strategy to align with overall business objectives, maximize customer value, and proactively address the needs of the scaled segment.

• Architect and deploy efficient and effective digital workflows for core customer journeys, including standardized customer onboarding and continuous lifecycle engagement programs.

• Manage end-to-end digital programs (e.g., onboarding, adoption campaigns, renewal notifications) tailored for the scaled customer segment.

• Design and execute campaigns using digital channels (email, Slack, webinars, etc) to drive feature adoption and sustained product engagement.

• Continuously test, measure, and iterate on program performance to improve conversion rates, customer satisfaction scores (CSAT), and other key performance indicators (KPIs).

• Design the escalation logic and scoring models that trigger human intervention from automated sequences.

• Support the growth of our business by automating workflow elements for our higher-touch Enterprise team, such as programmatically identifying and flagging customer risk and surfacing high-value upsell opportunities.

• Create and document clear, repeatable operations playbooks and Standard Operating Procedures (SOPs) for key digital customer journeys.

• Serve as the primary liaison, working with Customer Success, Product, Sales, and Marketing teams to ensure alignment, gather requirements, and guarantee the effective execution of all digital CX initiatives.

• Collaborate with our data engineering and ops teams to ensure data cleanliness and segmentation accuracy within our customer systems to enable highly targeted and personalized digital outreach.

• Own, track, and analyze key program metrics and operational KPIs (e.g., digital engagement rates, adoption rates, churn reduction, customer health scores).

• Provide regular, insightful reporting to leadership and relevant stakeholders on the overall effectiveness, performance, and impact of digital programs within the scaled customer segment.

• Stay current with industry trends, emerging technologies, and best practices in digital CX. Iterate on programs based on direct customer feedback and data-driven insights.

We're Looking For Someone Who Has:

• 5+ years of experience in Program Management, Customer Success Operations, Digital Success, or a related role, preferably supporting a high-volume, scaled customer segment with hybrid digital/human experience and/or pooled coverage (B2B SaaS experience is a plus).

• Demonstrated experience in building, launching, and scaling digital programs designed to influence customer behavior (adoption, engagement, retention). Proven impact on activation and value adoption (beyond open rates/clicks)

• Strong operational skills, with expertise in process mapping, creating playbooks, and defining automation requirements.

• Proficiency with CRM systems, Marketing Automation platforms, and CS software.

• Excellent analytical skills and a data-driven approach, comfortable using data to tell a story and make recommendations.

• Excellent written and communication skills

• Strong process and project delivery discipline

• Eager to learn new technologies and adapt to evolving customer needs

We'd Be Extra Excited For Someone Who Has:

• Familiarity with Mixpanel, or a similar analytics tool, including familiarity with analytics implementation methods like SDKs, Customer Data Platforms (CDPs), and Event Streaming.

• Ability to build, script, or configure custom solutions to drive process automation or custom workflow creation.

• Experience writing SQL queries to pull, validate, and analyze customer data directly from a database.

• Experience architecting systems and data flows

• Familiarity with analytics best practices across business segments and verticals

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You'll develop CoreWeave's storage systems by building reliable, scalable, and high-throughput solutions that power some of the largest and most innovative AI workloads in the world.

This role involves close collaboration with teams across infrastructure, compute, and platform to ensure our storage services scale automatically and seamlessly while maximizing performance and reliability.

About the role:

• Design and implement a highly scalable multi-tenant control plane that supports CoreWeave's growing AI storage and cloud infrastructure needs.
• Contribute to the development of exabyte-scale, S3-compatible object storage, distributed file system and integrate dedicated storage clusters into diverse customer environments.
• Work with technologies such as RDMA, GPU Direct Storage, RoCE, InfiniBand, SPDK, and distributed filesystems to optimize storage performance and efficiency.
• Participate in efforts to improve the reliability, durability, and observability of our storage stack.
• Collaborate with operations teams to monitor, analyze, and optimize storage systems using telemetry, metrics, and dashboards to improve performance, latency, and resilience.
• Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack.
• Share your knowledge and mentor other engineers on best practices in building distributed, high-performance systems, especially focusing on low level storage details that improve performance and durability.

Who You Are:

• Bachelor’s, Master’s, or PHD degree in Computer Science, Engineering, or a related field.
• 8–10+ years of experience working in storage systems engineering.
• Strong hands-on experience with object storage, block storage or distributed filesystems in production environments.
• Proficiency in a systems programming language such as Go, C, or Rust.
• Solid understanding of cloud-native infrastructure, Kubernetes, and scalable system architecture.
• Strong debugging and problem-solving skills in distributed, high-performance environments.
• Clear communicator, able to work collaboratively across teams and share technical insights effectively.
• Familiarity with the trade offs between HDD and SSD based storage systems.

The base salary range for this role is $206,000 to $303,000.

In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What We Offer

The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.

In addition to a competitive salary, we offer a variety of benefits to support your needs, including:

• Medical, dental, and vision insurance
• 100% paid for by CoreWeave
• Company-paid Life Insurance
• Voluntary supplemental life insurance
• Short and long-term disability insurance
• Flexible Spending Account
• Health Savings Account
• Tuition Reimbursement
• Ability to Participate in Employee Stock Purchase Program (ESPP)
• Mental Wellness Benefits through Spring Health
• Family-Forming support provided by Carrot
• Paid Parental Leave
• Flexible, full-service childcare support with Kinside
• 401(k) with a generous employer match
• Flexible PTO
• Catered lunch each day in our office and data center locations
• A casual work environment
• A work culture focused on innovative disruption

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As a Senior Staff Engineer, you will serve as the connective tissue across Compliance's multi-year strategic initiatives, defining how components fit together, identifying where capabilities can be shared rather than duplicated, and ensuring we leverage platform investments from partner teams.

Your decisions will directly affect how Airbnb meets obligations such as Anti-Money Laundering (AML), Know Your Customer (KYC), and sanctions screening while minimizing operational cost and customer friction.

This role extends well beyond the Compliance organization itself. You will partner directly with cross-organizational engineering teams, as well as cross-functional stakeholders across Product, Content, Legal, and Design.

The technical choices you make carry direct financial and legal exposure , requiring the judgment, depth of expertise, and organizational credibility to drive high-stakes design tradeoffs across team boundaries.

Key responsibilities include:

• Owning the end-to-end system design vision for the Compliance organization, setting the architectural direction for an engineering organization of nearly 30 engineers across multiple teams.
• Driving foundational architectural shifts, including the move from an account-centric model to a customer-centric one , rethinking how we model identity, risk, and enforcement across the platform.
• Leading the technical strategy for expanding KYC capabilities , supporting small and medium businesses, reimagining business onboarding and account structures, enabling KYC through third-party APIs, and extending verification to third-party payees.
• Architecting systems that adapt to the evolving digital identity landscape , including new verification standards, government-issued digital credentials, and shifting privacy regulations , without requiring costly re-platforming.
• Ensuring our technical foundations are flexible enough to absorb unforeseen regulatory mandates with aggressive timelines, without destabilizing existing systems or requiring disproportionate engineering investment.
• Partnering with technical leaders across multiple organizations to drive alignment on shared capabilities and cohesive system design, reducing duplication and compounding technical debt.
• Working closely with Product, Design, Policy, Legal, Operations, and other cross-functional partners as part of a globally distributed team to define and ship impactful features.

Requirements include:

• 15+ years of technical experience, with 10+ years of relevant industry experience in a fast-paced tech environment.
• Prior knowledge of Regulatory Compliance standards (AML, KYC, sanctions screening) and demonstrated experience designing and implementing those controls at scale.
• Proven track record of setting technical direction and architectural strategy for a large engineering organization, with the ability to drive alignment across organizational boundaries.
• Experience designing systems that span multiple teams and domains, with a focus on cohesion, reusability, and long-term maintainability over initiative-by-initiative solutions.
• Excellent communication skills and the ability to influence senior technical and non-technical stakeholders across the company.
• Strong problem solver with deep experience operating and leading on-call for production systems at scale.
• Technical leadership: hands-on experience leading large project teams, making high-stakes design tradeoffs, and translating regulatory requirements into scalable system architectures.
• BS/MS/PhD in Computer Science, a related field, or equivalent work experience.
• Proficiency in one or more back-end server languages (Java/Ruby/Go/C++/etc.)
• Deep understanding of architectural patterns of high-scale web and data applications.
• Be future looking , we might be focused on immediate regulations, but need to build for the long term. You think in terms of platforms, not projects.
• End-to-end ownership mentality that transcends team boundaries, with the credibility and judgment to make decisions that carry direct financial and legal implications.

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This role involves close collaboration with teams across infrastructure, compute, and platform to ensure our storage services scale automatically and seamlessly while maximizing performance and reliability.

About the role:

• Design and implement a highly scalable multi-tenant control plane that supports CoreWeave's growing AI storage and cloud infrastructure needs.

• Contribute to the development of exabyte-scale, S3-compatible object storage, distributed file system and integrate dedicated storage clusters into diverse customer environments.

• Work with technologies such as RDMA, GPU Direct Storage, RoCE, InfiniBand, SPDK, and distributed filesystems to optimize storage performance and efficiency.

• Participate in efforts to improve the reliability, durability, and observability of our storage stack.

• Collaborate with operations teams to monitor, analyze, and optimize storage systems using telemetry, metrics, and dashboards to improve performance, latency, and resilience.

• Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack.

• Share your knowledge and mentor other engineers on best practices in building distributed, high-performance systems.

Who You Are:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

• 10+ years of experience working in storage systems engineering or infrastructure.

• Strong hands-on experience with object storage or distributed filesystems in production environments.

• Experience with one or more storage protocols (e.g. S3, NFS) and file systems such as Ceph, DAOS, or similar.

• Proficiency in a systems programming language such as Go, C++, or Rust.

• Familiarity with storage observability tools and telemetry pipelines (e.g., ClickHouse, Prometheus, Grafana).

• Solid understanding of cloud-native infrastructure, Kubernetes, and scalable system architecture.

• Strong debugging and problem-solving skills in distributed, high-performance environments.

• Clear communicator, able to work collaboratively across teams and share technical insights effectively.

Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core

• Act Like an Owner

• Empower Employees

• Deliver Best-in-Class Client Experiences

• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What We Offer

The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including:

• Medical, dental, and vision insurance

• 100% paid for by CoreWeave

• Company-paid Life Insurance

• Voluntary supplemental life insurance

• Short and long-term disability insurance

• Flexible Spending Account

• Health Savings Account

• Tuition Reimbursement

• Ability to Participate in Employee Stock Purchase Program (ESPP)

• Mental Wellness Benefits through Spring Health

• Family-Forming support provided by Carrot

• Paid Parental Leave

• Flexible, full-service childcare support with Kinside

• 401(k) with a generous employer match

• Flexible PTO

• Catered lunch each day in our office and data center locations

• A casual work environment

• A work culture focused on innovative disruption

Our Workplace

While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.

California Consumer Privacy Act - California applicants only

CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com.

Export Control Compliance

This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

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Foundational Data team: Our mission in the Foundational Data team is to build and maintain high-quality datasets frequently used across all of Airbnb. We set company-wide standards that decide how locations are grouped into regions, visitors are measured based upon site traffic, bot traffic is separated from organic traffic, and cloud costs are attributed to Airbnb services. This data is used to build public financial reports, drive strategic marketing decisions, and manage operational costs.

AirCover Data Foundation: The AirCover Data Foundation team is responsible for providing trustworthy, consistent data and metrics to facilitate business insights, informed decision-making, and seamless operations across Airbnb's AirCover programs, such as Guest Travel Insurance, AirCover for Hosts, and AirCover for Guests.

As a Staff Analytics Engineer, you will bring a unique lens to our data strategy and provide in-depth technical mentorship and leadership to the team. We are looking for someone with expertise in data modeling, metric development, and large-scale distributed data processing frameworks like Presto or Spark.

Leveraging our internal, top-tier data tooling alongside other resources, you will empower both technical and non-technical teams across Airbnb to utilize our data for making decisions grounded in evidence. Staff-level engineers are expected to do this with a minimal amount of supervision. We value innovative thinkers who consistently seek smarter and more efficient solutions while managing daily operations, deadlines, and collaborating with team members.

A Typical Day:

• Develop high-quality data assets to satisfy a wide range of use-cases
• Develop frameworks and tools to scale insight generation to meet critical business and infrastructure requirements
• Collaborate and build strong partnerships with other data practitioners throughout Airbnb
• Influence the trajectory of data in decision making
• Improve trust in our data by championing for data quality across the stack

Your Expertise:

• 9+ years of experience with a BS/Masters or 6+ years with a PhD
• Fluent in SQL and proficient in at least one data engineering language, such as Python or Scala
• Expertise using business intelligence and reporting tools like Superset and Tableau
• Expertise in large-scale distributed data processing frameworks like Presto or Spark
• Expertise in data modeling for data warehouses and/or metrics repositories
• Experience with an ETL framework like Airflow
• Clear and mature communication skills: ability to distill complex ideas for technical and non-technical stakeholders
• Ability to provide technical leadership and mentorship, guiding teams on best practices and contributing to the development of analytic engineering strategies
• Experience exploring and leveraging LLM AI’s in everyday tasks (coding, documentation, etc…)
• Strong capability to forge trusted partnerships across working teams

Nice to have:

• Scaling data tasks via automation
• Previous experience in large-scale cloud-based software engineering or system architecture
• Experience with AB experimentation
• Familiarity with AI/ML algorithms, including their dependencies on data, as well as their respective strengths and limitations
• Designing and/or leveraging high-quality data visualization tools

Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states.

Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com.

How We'll Take Care of You: Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. Pay Range $194,000-$240,000 USD

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Key responsibilities include:

• Designing and implementing distributed storage solutions to support scaling data-intensive AI workloads
• Contributing to the development of exabyte-scale, S3-compatible object storage
• Integrating dedicated storage clusters into diverse customer environments
• Working with technologies such as RDMA, GPU Direct Storage, and distributed filesystems protocols such as NFS or FUSE to optimize storage performance and efficiency
• Leading efforts to improve the reliability, durability, security, and observability of the storage stack
• Collaborating with operations teams to monitor, troubleshoot, and improve storage systems in production environments
• Setting the bar for developing metrics and dashboards to provide visibility into storage performance and health
• Analyzing telemetry and system data to drive improvements in throughput, latency, and resilience
• Working cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack
• Sharing knowledge and mentoring other engineers on best practices in building distributed, high-performance systems

Requirements include:

• Bachelor's, Master's, or PhD degree in Computer Science, Engineering, or a related field
• 8-10+ years of experience working in storage systems engineering or infrastructure
• Strong hands-on experience with object storage or distributed filesystems in production environments
• Experience with one or more storage protocols (e.g. S3, NFS) and file systems such as Ceph, DAOS, or similar
• Proficiency in a systems programming language such as Go, C, or Rust
• Proficiency leveraging AI tools to augment software development
• Familiarity with storage observability tools and telemetry pipelines (e.g., ClickHouse, Prometheus, Grafana)
• Experience working with cloud-native infrastructure, Kubernetes, and scalable system architectures

The base salary range for this role is $188,000 to $275,000.

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As an Engineering Manager, you will set technical vision, empower a talented group of engineers, and collaborate closely with Machine Learning, Product, and Data Science to unlock better user experiences.

Key responsibilities include:

• Leading and mentoring a team of experienced machine learning engineers in developing advanced user understanding models and systems
• Collaborating cross-functionally with partners in Product, Data Science, and Engineering to define strategy, set priorities, and effectively integrate user insights into core systems and product features
• Driving experimentation and adoption of new user understanding models with product teams across Pinterest, ensuring measurable end-to-end impact on key metrics
• Managing project execution and stakeholder communication, including roadmap planning, technical decision-making, risk mitigation, and progress updates to achieve business goals
• Providing thought leadership in user modeling and recommender systems by setting a long-term technical vision and advancing the state-of-the-art in the field
• Fostering a collaborative, inclusive, and high-performing team culture

Requirements include:

• 6+ years of industry experience in applied machine learning or closely related roles, with experience developing large-scale machine learning for recommendation or ads systems
• 2+ years of people management experience leading engineering teams
• Demonstrated ML expertise with a proven track record of impactful solutions and a deep understanding of large scale distributed systems
• Strong technical leadership, including a passion for driving technical direction, system architecture, and designing robust, scalable ML solutions

Nice to have:

• Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring
• Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration

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The primary responsibilities of this role include designing and implementing distributed storage solutions to support scaling data-intensive AI workloads, contributing to the development of exabyte-scale, S3-compatible object storage, and integrating dedicated storage clusters into diverse customer environments. Additionally, the successful candidate will work with technologies such as RDMA, GPU Direct Storage, and distributed filesystems protocols such as NFS or FUSE to optimize storage performance and efficiency.

Key responsibilities also include leading efforts to improve the reliability, durability, security, and observability of our storage stack, collaborating with operations teams to monitor, troubleshoot, and improve storage systems in production environments, setting the bar for developing metrics and dashboards to provide visibility into storage performance and health, analyzing telemetry and system data to drive improvements in throughput, latency, and resilience, and working cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack.

A key aspect of this role is sharing knowledge and mentoring other engineers on best practices in building distributed, high-performance systems.

To be successful in this role, the ideal candidate will have a strong background in storage systems engineering or infrastructure, with a minimum of 8-10 years of experience. They will also have hands-on experience with object storage or distributed filesystems in production environments, as well as proficiency in a systems programming language such as Go, C, or Rust. Additionally, they will have experience working with cloud-native infrastructure, Kubernetes, and scalable system architectures, and familiarity with storage observability tools and telemetry pipelines.

If you're a motivated and experienced engineer looking to join a dynamic team and contribute to the development of cutting-edge storage solutions, we encourage you to apply for this exciting opportunity.

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Responsibilities:

• Own hardware design (CAD, hand calculations, prototypes, etc) from concept generation to launch.
• Use first principles as a basis for every decision.
• Continuously look for opportunities to simplify designs.
• Communicate pros/cons of system architecture with respect to design and packaging considerations.
• Lead subsystem design reviews, present structures status to other team members, provide clear understanding of timelines and technical status.
• Act as the Responsible Engineer for your subsystem: Run analysis, visit vendors, define and execute hardware test plans.
• Build prototypes, analyze failures, and transition successful prototype designs to flight hardware and low rate production.
• Travel to test sites and vendors as needed.
• Create excellent technical documentation – slide packages, test plans and reports, procedures, assembly instructions, part and assembly drawings, vendor specifications and statements of work, etc.

Requirements:

• BS or higher degree in engineering or a hard science.
• Experience in an immersive hands-on technical project (collegiate project teams and/or professional settings).
• CAD skills (any platform) and ability to make high quality engineering drawings that meet common industry standards.
• Demonstrated hands-on fabrication and assembly skills. Experience working with hand tools, mill, lathe, etc.
• Strong understanding of engineering fundamentals: heat transfer, statics, solid mechanics, materials.
• Excellent attention to detail.
• Highly motivated, self-starting, and able to perform duties autonomously without supervision.
• Very organized and willing to establish scope and requirements for ill-defined problems.
• Passion for defending the United States and her allies.
• Eligible to obtain and maintain an active U.S. security clearance.

Preferred Qualifications:

• 2+ years of mechanical design experience in a professional setting with space hardware or industry of equivalent complexity.
• Experience in NX/Teamcenter.
• Experience in an immersive hands-on technical project in college or in free time.
• Ability to integrate electronic components (PCBAs, motors, sensors etc.) into mechanical designs.
• Experience working with (integrating in designs) optical or RF systems.
• Experience developing code in higher-level languages (e.g. Python, MATLAB, C++) for developing analytical models and data acquisition and automation.
• Structural or thermal testing experience – sensor selection, data acquisition, data post-processing (Python preferred)

Salary Range: $129,000-$171,000 USD

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You will inform business strategy and deliver data-driven insights that enable revenue generation across the organization. This will require strong analytical skills, a knack for process improvement, and experience working with cross-functional teams.

Key responsibilities include:

• Partnering cross-functionally with Business Development, Corporate Operations, and Financial Planning & Analysis (FP&A) to develop and refine strategic reporting and planning processes and goals.
• Serving as a trusted advisor on best practices for growth systems, championing data integrity and governance standards, and supporting growth leads in refining forecasts and business opportunities.
• Analyzing top-line data to identify business trends, surface insights, and enable informed, data-backed decisions.
• Developing business cases for new investment opportunities to meet P&L targets and ensure adequate resourcing.
• Owning the translation of sales pipeline demand into short- and long-term planning across Operations, People, Production, Real Estate, Corporate Technology, and Finance.
• Managing relationships with key customers, partners, and government agencies, ensuring alignment with contractual obligations and stakeholder expectations.

Required qualifications include:

• Currently possessing or eligible to immediately obtain an active U.S. Top Secret security clearance.
• Minimum 5-6 years managing complex technical software programs or 5 years in consulting for aerospace and defense.
• Strong technical background with familiarity in systems engineering, software development, and hardware/software integration.
• Proficiency with Agile methodologies and supporting tools.
• Exceptional organizational, presentation, and communication skills.

Preferred qualifications include:

• Experience in startups or small organizations with multiple fast-moving, interdependent programs.
• Familiarity with a defense acquisition processes, compliance, and reporting requirements.
• Experience with developing and operating distributed systems, CI/CD pipelines, APIs, middleware, and modular system architectures.
• Proven ability to lead through influence and collaboration.
• Demonstrated success in a fast-paced, innovative environment.
• Knowledge of military systems and operational tactics.

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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.

We are looking for a Senior Salesforce Product Analyst to join the TDI team and help scale our internal systems with a focus on security and reliability. You will leverage your deep knowledge of CPQ and Sales Cloud, covering everything from provisioning to case management, to partner with GTM teams and uncover data-driven efficiencies. In this role, your work will bridge the gap between business needs and technical solutions to drive operational success.

Key Responsibilities

Requirements Gathering and Analysis:

• Work closely with business stakeholders to understand their requirements and challenges, translating them into detailed and actionable user stories.
• Conduct thorough analysis of existing processes and systems to identify opportunities for improvement.

Salesforce CPQ Configuration:

• Leverage your expertise in Salesforce CPQ to implement solutions that align with business needs. This includes product and price rule configuration, and advanced approvals.

Solution Design and Implementation:

• Collaborate with developers and administrators to design and implement enhancements and customisations.
• Deliver Salesforce CPQ and Salesforce.com platform updates as a core member of a team responsible for the design, development, testing, and release of enhancements and strategic projects.

Stakeholder Collaboration:

• Partner with different functions such as Deal Desk, Partner Ops, Order Management, Pricing and Packaging, and Sales Ops to design, implement, and enhance the CPQ platform for Direct and Channel Sales teams.

Data Management and Reporting:

• Ensure the integrity and accuracy of Salesforce data through effective data management practices.
• Create and maintain reports and dashboards to provide insights into key performance metrics and support decision-making.

System Integrations:

• Collaborate with technical teams to design and implement integrations between Salesforce and other systems within the organisation.
• Ensure seamless data flow and interoperability between Salesforce and external applications.

Quality Assurance and Testing:

• Develop and execute comprehensive test plans to validate the functionality and performance of Salesforce solutions.
• Collaborate with QA teams to address and resolve any issues identified during testing.

Security and Compliance:

• Ensure that Salesforce solutions adhere to organisational security policies and industry regulations.

Documentation:

• User Journey & Documentation: Author and maintain end-to-end User Journey Maps. You will update system documentation to reflect AI-driven automations and 'Human-in-the-loop' decision points.
• Ensure that technical and user documentation is accessible and easily understandable.

Qualifications & Requirements

Technical Expertise

• Salesforce Mastery: 5+ years of hands-on experience as a Business Analyst or Implementation Consultant specialising in Salesforce Sales Cloud and CPQ.
• System Architecture: Proven experience with Salesforce integrations, specifically connecting CRM platforms with product-led systems and cross-functional tools.
• Lifecycle Management: Demonstrated ability to own the end-to-end delivery lifecycle, from initial conception and configuration through to launch and post-deployment support.
• Certifications: Salesforce Certified Administrator, Sales Cloud Consultant, or CPQ Specialist credentials are highly preferred.

Strategic & Analytical Skills

• Process Innovation: A strong problem-solving mindset focused on continuous process improvement and operational efficiency.
• AI-Driven Analysis: Solid understanding of AI solutions and their application in enhancing analytical workflows and data insights.
• Critical Thinking: Ability to translate complex business requirements into scalable, high-quality technical solutions.

Leadership & Collaboration

• Cross-Functional Partnership: Proven track record of collaborating with diverse business teams and stakeholders to align goals.
• Global Collaboration & Ownership: Demonstrated strong ownership and the ability to communicate effectively and collaborate seamlessly with cross-functional, global teams and stakeholders.
• Proactive Ownership: A self-starter who takes initiative to find solutions independently and consistently delivers accurate, timely results.

#LI-Hybrid #LI-JB2 P24732_3364836

Below is the annual salary range for candidates located in Poland. Your actual salary will depend on factors such as your skills, qualifications, and experience. In addition, Okta offers equity (where applicable), bonus, and comprehensive healthcare coverage and financial benefits including paid time off and parental leave in accordance with our applicable plans and policies. To learn more about our Total Rewards program, please visit: https://rewards.okta.com/pol. The annual base salary range for this position for candidates located in Poland is between:165 000 zł-242 000 zł PLN

The Okta Experience

• Supporting Your Well-Being
• Driving Social Impact
• Developing Talent and Fostering Connection + Community

We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.

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This position is needed to bring our Customer Support and Operations teams to the next level with systems, tools, and automated workflows that improve their productivity.

Twilio is seeking a Business Systems Analyst with strong application configuration, system architecture, and workflow building skills.

In this role, you will partner with our Customer Support and Operations teams to understand their business needs and deliver appropriate systems solutions.

Responsibilities:

• Own the design, configuration, and maintenance of our Zendesk instance and associated integrations - including triggers, automation, macros, queries, and dashboards.

• Have empathy for our users' needs and help improve existing processes and innovate new processes utilizing Zendesk to improve client/customer experience.

• Collaborate with other Zendesk Business Analysts/teams/functional groups to ensure cross-functional alignment.

• Use a combination of standard functionality and custom development to solve business problems and simplify the design of our support system (Zendesk), in a way that is scalable and extensible as we onboard new businesses to Twilio.

• Be responsive to the needs of our internal users, and efficiently convert requirements into technical solutions that meet the needs of our business teams.

Qualifications:

• 5+ years of experience with system design and configuration of Zendesk.

• Knowledge of configuring triggers, automation, macros, queries, explore reports, and dashboards within Zendesk.

• Proactive collaborator and documenter, partner with other teams and stakeholders to deliver the right solutions (based on data) at the right time (well-prioritized) with high quality.

• Passionate about getting the best out of our third-party systems, integrating them into our ecosystem, and extending them with custom-built solutions which address unmet business needs.

• Familiar with industry standards, and curious about new applications and technologies.

• Excellent written and verbal communication skills.

• You will be attending stakeholder meetings including support governance and ops product lead meetings to bring back asks to the admin team and propose solutions.

• Propose AI and Automated solutions within Zendesk that can help the business.

• Familiarity with JIRA/Confluence/Google Suite to document requirements, processes, and solutions.

Desired:

• Zendesk Support Administrator Certification is preferred.

• Experience with Salesforce, workforce management tools, QA, and other auxiliary systems is a plus.

• Technically savvy and preferably have experience with APIs, Java scripting, communications, enterprise software, and/or cross-channel systems.

• Hands-on experience working in a customer support or services organization.

What We Offer:

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more.

Offerings vary by location.

Based on role, employees may also be eligible for additional compensation and benefits, including but not limited to incentive programs, commissions, equity grants, health and wellness benefits, retirement contributions, and paid time off.

The estimated pay ranges for this role are as follows:

• $99,760.00 (Developing Minimum)

• $124,700.00 (Mid)

• Target Bonus Percentage 12.50%

The successful candidate's starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.

Twilio thinks big. Do you?

We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things.

That's why we seek out colleagues who embody our values , something we call Twilio Magic.

Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.

So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now!

If this role isn't what you're looking for, please consider other open positions.

Twilio is proud to be an equal opportunity employer.

We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local law.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

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Responsibilities:

• Design and implement large-scale infrastructure systems to support AI scientist training, evaluation, and deployment across distributed environments
• Identify and resolve infrastructure bottlenecks impeding progress toward scientific capabilities
• Develop robust and reliable evaluation frameworks for measuring progress towards scientific AGI
• Build scalable and performant VM/sandboxing/container architectures to safely execute long-horizon AI tasks and scientific workflows
• Collaborate to translate experimental requirements into production-ready infrastructure
• Develop large scale data pipelines to handle advanced language model training requirements
• Optimize large scale training and inference pipelines for stable and efficient reinforcement learning

You may be a good fit if you:

• Have 6+ years of highly-relevant experience in infrastructure engineering with demonstrated expertise in large-scale distributed systems
• Are a strong communicator and enjoy working collaboratively
• Possess deep knowledge of performance optimization techniques and system architectures for high-throughput ML workloads
• Have experience with containerization technologies (Docker, Kubernetes) and orchestration at scale
• Have proven track record of building large-scale data pipelines and distributed storage systems
• Excel at diagnosing and resolving complex infrastructure challenges in production environments
• Can work effectively across the full ML stack from data pipelines to performance optimization
• Have experience collaborating with other researchers to scale experimental ideas
• Thrive in fast-paced environments and can rapidly iterate from experimentation to production

Strong candidates may also have:

• Experience with language model training infrastructure and distributed ML frameworks (PyTorch, JAX, etc.)
• Background in building infrastructure for AI research labs or large-scale ML organizations
• Knowledge of GPU/TPU architectures and language model inference optimization
• Experience with cloud platforms (AWS, GCP) at enterprise scale
• Familiarity with VM and container orchestration
• Experience with workflow orchestration tools and experiment management systems
• History working with large scale reinforcement learning
• Comfort with large scale data pipelines (Beam, Spark, Dask, …)

The annual compensation range for this role is $350,000-$850,000 USD.

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Join the Airbnb team as a Process & Tools Scalability Specialist and contribute to the growth and success of our global operations.

As a Process & Tools Scalability Specialist, you will report directly to the Manager, Tools and Process Improvement, and drive improvements in the global process for fraud and safety agents' day-to-day workflows.

Key Responsibilities:

• Be a champion of data-driven decision-making approach and culture to drive continuous performance improvement

• Support Tools and Technical system and design changes across all the operational lines, implementing workflow and business process changes building logical process design diagrams and implementing the process design utilizing engineering tools & processes

• Be the Subject Matter Expert on Technical Tools and Processes for Ops across all Fraud and Safety domains staying informed about industry trends, emerging technologies and competitive landscape

• Enable the business by connecting the dots between system architecture, implementation, and business workflow enablement

A Typical Day:

• The successful candidate will be an experienced Technology professional with:

• Ability to decompose any tool into a logical system design and process interaction diagram

• Lead business requirements from Ops on technology and tools requirements to cross functional teams in product and engineering, facilitate discussion and influence system design, architecture and prioritization

• Facilitate identification of areas for inefficiencies/improvement and opportunities for innovation by understanding the technical and data systems to increase scalability & reliability

• Manage cross-functional projects to ensure initiative goals deliveries are on budget and on schedule

Your Expertise:

• Bachelor Degree in Engineering, or Science preferred

• 6 years of experience in front office or back office operations related field with minimum 2 years experience in software development improvement in evaluating, implementing and managing tools and technologies

• A strong team player with high Initiative and demonstrated project management skills

• Strong data-driven analytical abilities and proven performance in operation problem-solving with strong experience in delivering quality assurance processes to maintain high standards of quality in back office operations as well as tools

• Demonstrated ability to interact and work effectively across functional teams and at multiple levels within the organization

• Proven organizational and leadership skills to motivate and influence others positively to drive for results

• Ability to build strong relationships and partner with key stakeholders to build trust and influence at multiple levels within the organization

• Be able to manage multiple task simultaneously with minimal direction

• Proactive and autonomous

• Excellent verbal and written communication skills

• Experience implementing system designs conforming to multi-year product or technology strategy

• Experience as solutions architect or equivalent experience driving end to end business enablement

Your Location:

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager.

While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

How We'll Take Care of You:

Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Pay Range $106,000-$125,000 USD

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Zuma is pioneering the future of agentic AI and our focus is to transform the rental market experience for consumers and property managers alike. Our innovative platform is engineered from the ground up to boost operations efficiency and enhance support capabilities for property management business across the US and Canada, a ~$200B market.

Off the back of our Series-A in early 2024, Zuma is scaling rapidly. Achieving our vision requires a team of passionate, innovative individuals eager to leverage technology to redefine customer-business interactions. We're on the hunt for exceptional talent ready to join our mission and contribute to building a groundbreaking technology that reshapes how businesses engage with customers.

As a Staff Engineer, you will:

Help define how humans collaborate with intelligent systems in one of the largest and most underserved industries in the world: property management. You’ll shape the technical foundation of a platform that is not just supporting human workflows, but executing them autonomously through AI agents. This is a rare opportunity to influence how an entire industry evolves, building tools that transform repetitive operational tasks into seamless, intelligent experiences.

Your work will directly contribute to how trust is built between humans and machines, how operations scale without added headcount, and how residents and staff experience a new, AI-powered standard of service. We’re not just building software we’re designing AI that people want to work with. Delightful, trustworthy, and deeply effective.

Join us to help lead the AI revolution in multifamily, drive meaningful real-world impact, and be part of reimagining what work can feel like when done side-by-side with intelligent agents.

You will be a cornerstone of our engineering organization, reporting to the VPE. This is a pivotal role where you'll lead critical system rewrites, architect scalable foundations for our AI platform, and establish the technical standards that will shape our engineering culture for years to come.

You'll work at the intersection of cutting-edge LLM technology and practical business applications, creating sophisticated systems that power our AI leasing agent while building self-serve experiences that enable rapid customer onboarding.

As our first US-based engineer, you'll bridge the gap between our product vision and technical implementation. This role offers a rare opportunity to directly influence how we architect the next generation of our platform.

You'll tackle projects like rebuilding our onboarding/configuration system to be self-serve, creating robust analytics infrastructure to measure AI performance, and reimagining our integration framework to connect seamlessly with customer systems.

Your work will significantly reduce manual engineering overhead while enabling rapid scaling of our customer base.

We're looking for a Staff Engineer to help us bring that future to life. This is not just another dev role. You'll be hands-on shaping the technical DNA of Zuma. You'll architect critical systems, tame legacy code, build net-new AI-powered experiences, and lay down the patterns future engineers will inherit.

If you're obsessed with building real products people use, especially products powered by LLMs, this might be your playground.

Why This Could Be Your Dream Role

• You'll work directly with cutting-edge LLM technology in a real-world application
• You want to work at a company where customers feel your impact every day
• You'll architect AI-powered systems that are transforming the real estate industry
• You'll have autonomy to design and implement innovative technical solutions
• Your work will directly impact thousands of apartment communities and millions of renters
• You'll receive significant equity in a venture-backed company with strong traction
• As we scale, your role and influence will grow with the company

Why You Might Want to Think Twice

• This is a demanding role that will often require extended hours and deep commitment
• As a founding team member, you'll need to wear multiple hats and step outside your comfort zone
• You'll need to make thoughtful tradeoffs between innovation and immediate needs
• You'll interact directly with customers to understand their needs and occasionally travel to their offices
• We're a startup - priorities can shift rapidly as we respond to market opportunities and customer needs
• If you're not comfortable getting your hands dirty with legacy code or speaking directly with customers, this isn't the job for you

Responsibilities

• Lead critical system rewrites to transform our architecture into a highly scalable, resilient foundation
• Own the design and performance optimization of our data storage systems, ensuring they scale with customer and AI demands
• Build and evolve our deployment pipelines, enabling reliable, automated releases for AI-first products
• Set up and manage modern cloud infrastructure from scratch, leveraging Infrastructure as Code (IaC) to ensure consistency, security, and scalability
• Establish engineering best practices, including observability, incident response processes, and system hardening for an AI-first platform
• Drive robust analytics and monitoring to track performance, reliability, and the effectiveness of our AI solutions
• Mentor engineers and elevate the team's capabilities across infrastructure, scalability, and AI product development

Your Experience Looks Like

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field
• 5+ years of experience building production-grade software systems, with a focus on scalability, performance, and reliability
• Proven expertise in backend development with Node.js, including API design, system architecture, and cloud-based services
• Experience with cloud infrastructure (AWS, GCP, or similar) and deploying production systems using Infrastructure as Code (e.g., Terraform, Pulumi)
• Hands-on experience with database design, performance tuning, and scaling high-throughput data systems
• Familiarity with building and maintaining CI/CD pipelines, automated testing, and modern DevOps practices
• Strong communication skills and ability to work effectively in a distributed, fast-paced environment
• Comfortable operating in early-stage, high-ownership environments with evolving requirements
• Bonus: Experience with React and TypeScript on the frontend, though this role leans backend/infrastructure
• Bonus: Exposure to LLM-based systems, AI infrastructure, or agentic AI workflows

Guiding Principles

• Customer‑First Outcomes

Every commit should trace back to resident or operator value. Whether it’s a new feature, infra investment, or AI capability, if it doesn’t solve a real problem, it doesn’t ship.

• Bias for Simplicity

We favor composable primitives over clever abstractions. Open standards, clean APIs, and clear contracts win over custom complexity, even if the custom version is cooler.

• Quality Is a Gate, Not an After‑Thought

Quality is built-in from day one. Our definition of done includes: test coverage, performance checks, basic observability, and internal docs. Shipping fast doesn’t mean skipping craftsmanship.

• Data‑Driven Choices

We use data to guide, not paralyze, our decision-making. We track leading indicators (cycle time, defect rate, NPS) and lagging signals (retention, revenue impact). We keep instrumentation lightweight but meaningful signal over spreadsheet.

• Transparency & Written Culture

Good ideas don’t expire in Zoom. We operate in public i

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You'll help property managers succeed with our AI platform while also driving continuous improvements in our internal tools and processes.

Responsibilities: Lead critical system rewrites to transform our architecture into a highly scalable, resilient foundation Own the design and performance optimization of our data storage systems, ensuring they scale with customer and AI demands Build and evolve our deployment pipelines, enabling reliable, automated releases for AI-first products Set up and manage modern cloud infrastructure from scratch, leveraging Infrastructure as Code (IaC) to ensure consistency, security, and scalability Establish engineering best practices, including observability, incident response processes, and system hardening for an AI-first platform Drive robust analytics and monitoring to track performance, reliability, and the effectiveness of our AI solutions Mentor engineers and elevate the team's capabilities across infrastructure, scalability, and AI product development

Your Experience Looks Like: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field 3+ years of experience building production-grade software systems, with a focus on scalability, performance, and reliability Proven expertise in backend development with Node.js, including API design, system architecture, and cloud-based services Experience with cloud infrastructure (AWS, GCP, or similar) and deploying production systems using Infrastructure as Code (e.g., Terraform, Pulumi) Hands-on experience with database design, performance tuning, and scaling high-throughput data systems Familiarity with building and maintaining CI/CD pipelines, automated testing, and modern DevOps practices Strong communication skills and ability to work effectively in a distributed, fast-paced environment Comfortable operating in early-stage, high-ownership environments with evolving requirements Bonus: Experience with React and TypeScript on the frontend, though this role leans backend/infrastructure Bonus: Exposure to LLM-based systems, AI infrastructure, or agentic AI workflows

Guiding Principles: Customer‑First Outcomes Bias for Simplicity Quality Is a Gate, Not an After‑Thought Data‑Driven Choices Transparency & Written Culture

Other Benefits: Great health insurance, dental, and vision Gym and workspace stipends Computer and workspace enhancements Unlimited PTO Opportunity to play a critical role in building the foundations of the company and Engineering culture

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The Technical Account Manager (TAM) works with the team in a fast-paced technology-driven environment and is deeply engaged with OEMs, carriers, chipset manufacturers, and ODMs across the globe. As a TAM, you'll act as the engagement manager taking responsibility for the success of our OEM partnerships. You'll lead deployments, optimize implementations and integrations to increase business growth, drive new business opportunities, help partners adopt the latest software, and build strong, successful, long-term partnerships.

Your day-to-day

• Own the complete sales process within subsidiaries of Enterprise customers; perform discovery calls that drive pipeline and yield revenue
• Manage the upsell and cross-sell sales process for existing enterprise customers
• Drive deals forward by executing demos, quotes, proposals, BVAs
• Manage your quarterly pipeline and complete forecasting reports with your manager
• Perform implementation reviews, advocate new product features, and ensure the prompt and proper resolution of technical challenges
• Improve product feature offerings by providing partner feedback to internal cross-functional teams including Product Management and Engineering
• Guarantee the technical aspects of a partner’s integration (both new and ongoing) by providing necessary documentation and technical guidance
• Identify, drive, and optimize growth from new business opportunities by leveraging Google technologies

Qualifications

• Prior experience achieving quota in a Sales Development/lead generation role within a B2B SaaS organization
• 4+ years of closing or account management experience within a B2B SaaS environment
• Ability to achieve a quarterly sales quota
• Reputation for success in consultative sales environments and putting the customer first
• Experienced with independently running qualification calls and demos
• Requires a strong work ethic, can-do attitude, and ability to work cross-functionally within the organization

Minimum qualifications

• Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering or related field or equivalent practical experience
• 4 years of experience in product management, software engineering, engineering program management, or technical account management

Preferred qualifications

• Experience in managing strategic partnerships or client relationships
• Experience with system architecture or device bring-up
• Experience in an object-oriented programming language (e.g. Java, C++ or Python)

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This position requires a deep understanding of aerospace systems engineering, autonomy, and complex system integration. You will work cross-functionally with teams in hardware, software, autonomy, flight operations, and manufacturing to develop a scalable, mission-ready platform capable of operating in contested environments.

Key responsibilities include:

• Performing system architecture & design: Developing and refining the system architecture for the next gen UAS, ensuring seamless integration of avionics, autonomy, propulsion, sensor payloads, and mission systems.

• Defining and documenting system-level behavior, including modes, states, transitions, and fault responses.

• Supporting safety analyses (FHA, FMEA, FTA) by defining behavior under fault conditions.

• Defining and managing system requirements: Establishing top-level requirements, decomposing them into subsystems, and maintaining traceability across the development lifecycle.

• Autonomy & AI integration: Working closely with autonomy and software teams to integrate AI-driven flight control, decision-making, and mission execution capabilities.

• Model-Based Systems Engineering (MBSE): Utilizing SysML, DOORS, or other MBSE tools to create digital system models, conduct trade studies, and optimize system performance.

• Risk management & trade studies: Conducting trade studies to evaluate design alternatives, assess technical risks, and ensure the best engineering solutions for mission effectiveness.

• Stakeholder & customer engagement: Working closely with DoD stakeholders, industry partners, and government agencies to align system capabilities with operational requirements.

• Cross-functional collaboration: Partnering with hardware, autonomy, software, propulsion, and flight operations teams to drive seamless system integration and rapid development cycles.

Required qualifications include:

• 10+ years of experience in systems engineering for aerospace, defense, or autonomous aircraft systems.

• Demonstrated experience defining system behavior logic and operational modes.

• Deep expertise in system architecture, avionics integration, and autonomy-driven flight systems.

• Proficiency in MBSE, DOORS, SysML, CAMEO, or similar system modeling tools for complex systems design and analysis.

• Experience with Group 4 or Group 5 UAS, military aircraft, or autonomous airborne platforms.

• Strong background in flight testing, system integration, and performance validation.

• Knowledge of DoD acquisition processes, MIL-STDs, FAA airworthiness certification, and airborne system safety standards.

• Demonstrated ability to lead cross-functional teams and drive complex projects to successful completion.

Preferred qualifications include:

• Experience developing AI-driven autonomy for unmanned aircraft.

• Expertise in ISR, EW, and advanced sensor integration for airborne platforms.

• Familiarity with modular open system architectures (MOSA) and Government Reference Architectures (GRA) for defense applications.

• Prior experience working with defense primes, DoD stakeholders, or government R&D programs.

• Active Secret or Top Secret clearance (or ability to obtain one).

Salary: $180,000 - $270,000 a year

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Key responsibilities include:

• Developing mission systems requirements and architectures to ensure overall system effectiveness
• Selecting mission system baselines through make vs buy trades and vendor engagements
• Developing the integration & test verification plan to include resources from bench-level hardware-in-the-loop (HIL) to flight test
• Defining mission system software architectures including baseline processing and advanced algorithm development
• Driving trade studies and system-of-systems analysis to balance performance, cost, and schedule
• Serving as a technical subject matter expert for mission systems engineering across the aircraft program
• Ensuring compliance with MIL-HDBK-516C, DO-178C, DO-254, and related standards
• Collaborating with program management to de-risk architectures and ensure technical maturity gates are met
• Interfacing with customers, partners, and suppliers to align system requirements and certifications

The ideal candidate will have a B.S. in Aerospace Engineering, Electrical Engineering, Systems Engineering, or related field, and 15+ years of relevant aerospace/defense experience, with at least 5 years in aircraft mission systems integration.

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The ideal candidate has a proven track record designing or specifying electrical and electronic systems for marine, automotive, defense, or mining vehicles, with a focus on system integration, environmental qualification, and manufacturability. This is a design and development driven, hands-on role at the intersection of design innovation and field performance.

Key Responsibilities: • Lead the design, specification, and validation of electrical and electronic systems for autonomous maritime platforms operating in extreme environments. • Develop and document system requirements and specifications for electrical subsystems including power distribution, computing, sensing, and communications. • Create engineering drawings such as one-line diagrams, ladder schematics, networking diagrams, and similar. • Evaluate and select or design components suitable for reliable operation in harsh environments. • Conduct trade studies and benchmarking of commercially available systems and technologies from adjacent industries (automotive, defense, mining). • Design and validate system architectures that optimize reliability, maintainability, and environmental protection. • Collaborate with mechanical, software, and autonomy teams to ensure seamless system integration and interoperability. • Support prototype builds, troubleshooting, and commissioning through lab and field testing - including dockside and at-sea trials. • Author detailed design documentation, including specifications, trade studies, test reports, and system integration standards. • Mentor junior engineers in general design principles and ruggedization techniques.

Required Qualifications: • B.S. or M.S. in Electrical Engineering or related field. • Proficiency in schematic and design tools (AutoCAD Electrical, SolidWorks Electrical, Zuken, or similar). • 7+ years of professional experience designing electrical and electronic systems for marine, industrial, harsh, or safety-critical environments. • Proven experience with rugged electrical system design including power distribution systems, industrial automation, and network design. • Familiarity with low voltage AC (<000VAC) and DC (12/24/48V) power distribution architectures. • Experience with fieldbus protocols such as ethernet, CAN, RS485, RS232, and similar. • Understanding of EMI/EMC design principles and mitigation techniques. • Excellent technical documentation and communication skills. • Experience creating engineering drawings such as one-line diagrams, ladder schematics, network drawings, and similar. • Ability to thrive in hands-on R&D environments that blend lab experimentation with field testing. • Strong understanding of environmental qualification standards such as MIL-STD-810, MIL-STD-461, ISO 16750, or IEC 60068.

Preferred Qualifications: • Experience in marine, defense, automotive, aerospace, or mining vehicle design. • Familiarity with AC (120/240/480V) power distribution architectures • Background in embedded system and sensor integration • Experience with integration of navigation sensors and systems. • Familiarity with common networking and external communication methods (LOS/BLOS) • Experience with reliability analysis tools (FMEA, FTA, or reliability block diagrams). • Knowledge of electrical safety and certification standards, such as UL, CE, or ABS requirements. • Exposure to autonomous or remote system architectures.

Why You'll Love Working at Saronic: • Build and qualify the core electrical systems powering the next generation of autonomous maritime vessels. • Work on cutting-edge R&D projects at the intersection of marine, defense, and rugged vehicle design. • Collaborate with a multidisciplinary team of engineers advancing autonomy, sensing, and control technologies. • Competitive compensation, equity participation, and comprehensive benefits. • Direct impact - your designs will help ensure real-world resilience and operational success in some of the most challenging environments on Earth.

Physical Requirements: • Prolonged periods of sitting at a desk and working on a computer. • Occasional standing and walking within the office. • Manual dexterity to operate a computer keyboard, mouse, and other office equipment. • Visual acuity to read screens, documents, and reports. • Occasional reaching, bending, or stooping to access file drawers, cabinets, or office supplies. • Lifting and carrying items up to 20 pounds occasionally (e.g., office supplies, packages).

Additional Information: Benefits: • Medical Insurance: Comprehensive health insurance plans covering a range of services • Saronic pays 100% of the premium for employees and 80% for dependents • Dental and Vision Insurance: Coverage for routine dental check-ups, orthodontics, and vision care • Saronic pays 100% of the premium under the basic plan for employees and 80% for dependents • Time Off: Generous PTO and Holidays • Parental Leave: Paid maternity and paternity leave to support new parents • Competitive Salary: Industry-standard salaries with opportunities for performance-based bonuses • Retirement Plan: 401(k) plan with company match • Stock Options: Equity options to give employees a stake in the company’s success • Life and Disability Insurance: Basic life insurance and short- and long-term disability coverage • Pet Insurance: Discounted pet insurance options including 24/7 Telehealth helpline • Additional Perks: Free lunch benefit and unlimited free drinks and snacks in the office

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In this role, you will report to the Head of Platforms & Infrastructure and play a central role in shaping how Mercury models, governs, and operationalizes GTM data. You’ll partner closely with Data Engineering, Data Science, Solution Architecture, Platform Engineering, etc.

Some key responsibilities include:

• Owning the definition, structure, and reliability of data originating from revenue platforms (e.g., Salesforce, GTM tools, automation systems)
• Serving as the primary decision owner for GTM-sourced tables and views used for revenue execution, forecasting inputs, lifecycle tracking, and signal-based workflows
• Designing and evolving core GTM data models across Salesforce, ETL, and analytics layers
• Partnering with Data Engineering to align GTM schemas with enterprise data models and define clear data contracts between source systems and downstream consumers
• Partnering with Data Science / Analytics to ensure revenue data is interpretable, statistically sound, and reflects how the business actually operates
• Owning clarity around data ownership boundaries, shared dependencies, and escalation paths when upstream or downstream changes impact revenue integrity
• Defining and upholding data quality, freshness, consistency, and documentation standards for revenue platforms
• Monitoring and improving pipeline reliability, performance, and scalability, proactively identifying fragile or redundant transformations
• Identifying opportunities to automate manual or error-prone data workflows and reduce operational overhead
• Acting as a data thought partner to Platforms & Infrastructure, Revenue Operations, Analytics, and Security , advising on feasibility, tradeoffs, and sequencing for data-heavy initiatives

You should have:

• 7+ years of experience in data engineering or data systems roles within SaaS or technology companies
• Deep experience designing and operating production data pipelines
• Highly proficient in SQL and experienced in data modeling
• Hands-on experience with modern data stacks (e.g., Snowflake, BigQuery, Redshift)
• Experience with ETL / ELT tooling (e.g., dbt, Airflow, Census, or similar)
• Understanding of Salesforce data models and common GTM system architectures
• Ability to translate business concepts into durable, well-structured data models
• Clear communication skills with both technical and non-technical partners

Preferred qualifications include:

• Experience supporting revenue, sales, or customer lifecycle data
• Familiarity with event-based data platforms (e.g., Data Cloud or equivalents)
• Experience working alongside platform engineering and security teams
• Exposure to data governance, access controls, and compliance considerations
• Experience mentoring or guiding other data practitioners

The total rewards package at Mercury includes base salary, equity, and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry.

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As a Senior Software Engineer, your goal will be to ensure that our AI Agents are backed by the most reliable and scalable server solutions. This includes designing and maintaining the server architecture that handles real-world, high-volume interactions and ensures high availability and performance.

This is a unique opportunity to shape the future of AI at Cresta by solving complex problems and bringing breakthrough AI advancements into production environments.

Responsibilities:

• Design, develop, and maintain scalable and robust backend architectures for Cresta's AI Agent solutions and proprietary models.
• Collaborate with cross-functional teams including frontend engineers, machine learning engineers to ensure seamless integration of AI Agents into Cresta's customer solutions.
• Lead initiatives to enhance system scalability and reliability in production environments, focusing on backend services that support AI functionalities.
• Drive efforts to optimize server response times, process large volumes of data efficiently, and maintain high system availability.
• Innovate and implement security measures, cost-reduction strategies, and performance improvements in backend systems supporting AI Agents.

Qualifications We Value:

• Bachelor's degree in Computer Science or a related field.
• 5+ years of experience in backend system architecture, cloud services, or related technology fields.
• Proficient in designing and maintaining clear and robust APIs with a strong understanding of protocols including gRPC, REST.
• Previous experience working with Virtual Agent or AI Agent systems.
• Experience in high-performance database schema design and query optimization, including knowledge of SQL and NoSQL databases.
• Experience in containerized application deployment using Kubernetes and Docker in microservices architectures.
• Experience with cloud environments such as AWS, Azure, or Google Cloud, with a strong understanding of cloud security and compliance standards.

Perks & Benefits:

• Comprehensive medical, dental, and vision coverage with plans to fit you and your family.
• Flexible PTO to take the time you need, when you need it.
• Paid parental leave for all new parents welcoming a new child.
• Retirement savings plan to help you plan for the future.
• Remote work setup budget to help you create a productive home office.
• Monthly wellness and communication stipend to keep you connected and balanced.
• In-office meal program and commuter benefits provided for onsite employees.

Compensation at Cresta:

• Cresta's approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table.
• The posted base salary range represents what we expect to pay for this role in a given location. Final offers are shaped by factors like experience, skills, education, and geography. In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family.

Salary Range: $205,000–$270,000 + Offers Equity

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Cyngn is a publicly-traded autonomous technology company that deploys self-driving industrial vehicles to factories, warehouses, and other facilities throughout North America.

We are a small company with under 100 employees, operating with the energy of a startup. However, we're also publicly traded, which means our employees get access to the liquidity of our publicly-traded equity.

As a Senior DevOps Lead at Cyngn, you will play a vital role in architecting and managing infrastructure across cloud and autonomous vehicle systems. This position combines traditional cloud DevOps leadership with specialized expertise in robotics and autonomous systems infrastructure.

Responsibilities

• Lead and architect cloud and vehicle infrastructure initiatives across AWS and ROS/Linux environments
• Design and implement scalable solutions for both cloud services and autonomous vehicle systems
• Establish and maintain DevOps best practices, CI/CD pipelines, and infrastructure as code
• Drive observability, monitoring, and incident response strategies
• Optimize performance and cost efficiency of cloud and edge computing resources
• Mentor team members and foster a developer-friendly environment
• Manage on-call rotations and incident response processes
• Architect solutions for processing and storing large-scale vehicle telemetry data
• Lead security initiatives and compliance efforts across infrastructure

Requirements

• 10+ years of relevant DevOps/Infrastructure experience
• Proven track record as a technical lead in platform or infrastructure teams
• Advanced expertise in AWS services, infrastructure as code (Terraform), and Kubernetes
• Strong experience with service mesh (Istio) and Helm/Kustomize
• Deep understanding of ROS/ROS2 and Linux kernel configurations
• Experience with GPU configurations and ML infrastructure
• Expertise in ARM and NVIDIA CUDA platform configurations
• Strong programming skills in Python and shell scripting
• Experience with infrastructure automation (Ansible)
• Expertise in CI/CD tools (Jenkins, GitHub Actions)
• Strong system architecture and design skills
• Excellence in technical documentation
• Outstanding problem-solving abilities
• Strong leadership and mentoring capabilities

Nice to haves

• Experience with autonomous vehicle systems
• Track record of optimizing GPU-based ML infrastructure
• Experience with large-scale IoT deployments
• Contributions to open-source projects
• Experience with real-time systems and low-latency requirements
• Expertise in security implementations including SSO, IdP, and AWS Cognito
• Experience with JFrog artifactory and container registry management
• Proficiency in AWS IoT Greengrass
• Experience with container resource management on edge devices
• Understanding of CPU affinity and priority scheduling
• Track record of implementing cost optimization strategies
• Experience with scaling systems both horizontally and vertically

Benefits & Perks

• Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge)
• Life, Short-term, and long-term disability insurance (Cyngn funds 100% of premiums)
• Company 401(k)
• Commuter Benefits
• Flexible vacation policy
• Sabbatical leave opportunity after five years with the company
• Paid Parental Leave
• Daily lunches for in-office employees
• Monthly meal and tech allowances for remote employees

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At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agents that solve practical problems for our customers. We are focused on leveraging the latest technologies in Large Language Models (LLMs) and AI Agent systems, while ensuring that the solutions we develop are cost-effective, secure, and reliable.

As a Senior Software Engineer, your goal will be to ensure that our AI Agents are backed by the most reliable and scalable server solutions. This includes designing and maintaining the server architecture that handles real-world, high-volume interactions and ensures high availability and performance.

Responsibilities:

• Design, develop, and maintain scalable and robust backend architectures for Cresta’s AI Agent solutions and proprietary models.
• Collaborate with cross-functional teams including frontend engineers, machine learning engineers to ensure seamless integration of AI Agents into Cresta’s customer solutions.
• Lead initiatives to enhance system scalability and reliability in production environments, focusing on backend services that support AI functionalities.
• Drive efforts to optimize server response times, process large volumes of data efficiently, and maintain high system availability.
• Innovate and implement security measures, cost-reduction strategies, and performance improvements in backend systems supporting AI Agents.

Qualifications We Value:

• Bachelor’s degree in Computer Science or a related field.
• 5+ years of experience in backend system architecture, cloud services, or related technology fields.
• Proficient in designing and maintaining clear and robust APIs with a strong understanding of protocols including gRPC, REST.
• Previous experience working with Virtual Agent or AI Agent systems.
• Experience in high-performance database schema design and query optimization, including knowledge of SQL and NoSQL databases.
• Experience in containerized application deployment using Kubernetes and Docker in microservices architectures.
• Experience with cloud environments such as AWS, Azure, or Google Cloud, with a strong understanding of cloud security and compliance standards.

Perks & Benefits:

• We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs.
• Paid parental leave to support you and your family.
• Monthly Health & Wellness allowance.
• Work from home office stipend to help you succeed in a remote environment.
• Lunch reimbursement for in-office employees.
• PTO: 3 weeks in Canada.

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About the Role: As a Software Engineer, your goal will be to ensure that our AI Agents are backed by the most reliable and scalable server solutions. This includes designing and maintaining the server architecture that handles real-world, high-volume interactions and ensures high availability and performance.

Responsibilities:

• Design, develop, and maintain scalable and robust backend architectures for Cresta’s AI Agent solutions and proprietary models.
• Collaborate with cross-functional teams including frontend engineers, machine learning engineers to ensure seamless integration of AI Agents into Cresta’s customer solutions.
• Lead initiatives to enhance system scalability and reliability in production environments, focusing on backend services that support AI functionalities.
• Drive efforts to optimize server response times, process large volumes of data efficiently, and maintain high system availability.
• Innovate and implement security measures, cost-reduction strategies, and performance improvements in backend systems supporting AI Agents.

Qualifications We Value:

• Bachelor’s degree in Computer Science or a related field.
• 2+ years of experience in backend system architecture, cloud services, or related technology fields.
• Knowledge in designing and maintaining clear and robust APIs with a strong understanding of protocols including gRPC, REST.
• Experience in high-performance database schema design and query optimization, including knowledge of SQL and NoSQL databases.
• Experience in containerized application deployment using Kubernetes and Docker in microservices architectures.
• Experience with cloud environments such as AWS, Azure, or Google Cloud, with a strong understanding of cloud security and compliance standards.
• Bonus: experience working with Virtual Agent or AI Agent systems.

Perks & Benefits:

• We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs.
• Paid parental leave to support you and your family.
• Monthly Health & Wellness allowance.
• Work from home office stipend to help you succeed in a remote environment.
• Lunch reimbursement for in-office employees.
• PTO: 3 weeks in Canada.

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As a Product Lead, you will set the strategic direction for how we engage with protocol ecosystems by defining the frameworks that guide which networks we support, how deeply we integrate, and what differentiated value we deliver.

You will drive cross-functional alignment at the senior level, and shape a roadmap that positions Anchorage as the default institutional partner for the most important networks in crypto.

This is a role for someone who thrives at the intersection of product vision, people leadership, and deep protocol fluency.

Technical Skills:

• Drive end-to-end product strategy for the Anchorage’s engagement with protocol ecosystems, balancing near-term commitments with long-term platform investments.
• Develop and maintain a strategic lens on the blockchain landscape to identify which ecosystems, consensus mechanisms, and on-chain primitives warrant investment and how to sequence them.
• Drive comprehensive go-to-market strategy alongside sales and partnerships, defining success metrics and iterating based on data and market feedback.
• Demonstrate the ability to understand system architecture deeply enough to set sound technical direction with engineering leadership.

Complexity and Impact of Work:

• Drive cross-functional initiatives that span engineering, design, sales, compliance, and external partners while resolving ambiguity and maintaining momentum across multiple workstreams.
• Contribute strategic insights that shape company-level priorities and influence leadership decisions beyond your immediate team.

Organizational Knowledge:

• Develop and leverage a deep understanding of Anchorage's business model, regulatory landscape, and competitive positioning to inform ecosystem strategy.
• Build trusted relationships with senior leaders across departments to ensure alignment on priorities, surfacing trade-offs early, and driving shared accountability.
• Navigate and improve organizational processes to increase the Protocols team's efficiency, predictability, and quality of output.

Communication and Influence:

• Represent the Protocols organization to senior leadership, the board, and external partners, articulating strategy, progress, and trade-offs with clarity and conviction.
• Enable cross-functional collaboration through consistent, transparent communication and thoughtful influence on decision-making at every level.
• Serve as a knowledge partner to leadership on blockchain ecosystem trends, helping the company stay ahead of market shifts.

You may be a fit for this role if you have:

• You have 7+ years of product management experience, with at least 2 years leading or managing other product managers.
• You have meaningful experience in blockchain, DeFi, or protocol-adjacent companies, and you understand the nuances of ecosystem dynamics, not just the technology.
• You have a track record of defining and executing multi-quarter product strategies that required navigating ambiguity, competing priorities, and cross-functional dependencies.
• You have a background in engineering or a demonstrated ability to go deep on technical architecture when the situation demands it.
• Exceptional written and verbal communication skills, enabling you to distill complex ecosystem trade-offs into crisp narratives for leadership, partners, and your team.
• Your empathy and adaptability not only complement others' working styles but also embody our culture of curiosity, creativity, and shared understanding.
• You are deeply invested in optimizing the end-user experience and leveraging it to create business value.
• You self describe as some combination of the following: creative, humble, ambitious, detail oriented, hard working, trustworthy, eager to learn, methodical, action oriented, and tenacious.

Although not a requirement, bonus points if:

• You have shipped products that required direct collaboration with protocol foundations or core development teams.
• You have built or contributed to ecosystem evaluation frameworks, partnership models, or integration playbooks at a previous company.
• You have written your own smart contract or dApp.
• You have experience managing P&L accountability or revenue targets tied to product decisions.

Additional Information About Anchorage Digital:

Who we are

The Anchorage Village, what we call our team, brings together the brightest minds from platform security, financial services, and distributed ledger technology to provide the building blocks that empower institutions to safely participate in the evolving digital asset ecosystem.

As a diverse team of more than 600 members, we are united in one common goal: building the future of finance by providing the foundation upon which value moves safely in the new global economy.

Anchorage Digital is committed to being a welcoming and inclusive workplace for everyone, and we are intentional about making sure people feel respected, supported, and connected at work,regardless of who you are or where you come from.

We value and celebrate our differences and we believe being open about who we are allows us to do the best work of our lives.

Anchorage Digital is an Equal Opportunity Employer.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status.

Anchorage Digital considers qualified applicants with criminal histories, consistent with applicable federal, state, and local laws.

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This is a rare opportunity to shape a high-impact platform product at the intersection of regulated finance, crypto-native infrastructure, and developer experience , backed by the credibility and scale of Anchorage Digital, trusted by the world's largest financial institutions.

Technical Skills:

• Drive the detailed prioritization of the CaaS platform roadmap, balancing foundational infrastructure work, partner-facing features, compliance requirements, and developer experience.
• Build comprehensive go-to-market strategy and execution, including defining success metrics, tracking adoption KPIs, and iterating based on partner feedback and data.
• Build deep understanding of system architecture, including multi-tenant platform design, API gateway patterns, ledger systems, and event-driven architectures, and communicate clear requirements to engineering.

Complexity and Impact of Work:

• Lead and influence cross-functional teams across Product, Engineering, Design, Compliance, Legal, Security, and GTM while maintaining strong stakeholder relationships.
• Manage independent decision-making through ambiguity inherent in scaling a platform and take full ownership of the CaaS product line and its growth.
• Demonstrate product leadership that elevates team performance, attracts top talent, and establishes Anchorage as the definitive infrastructure-as-a-service provider in digital assets.

Organizational Knowledge:

• Deliver company objectives through strategic product decisions that unlock new partner revenue while strengthening Anchorage's regulatory moat.
• Actively contribute to organizational strategy by identifying how CaaS capabilities can also benefit direct institutional clients.

Communication and Influence:

• Effectively influence and motivate across all levels of the organization, this role requires alignment from founders through to individual engineers.
• Serve as the internal and external evangelist for the CaaS platform, presenting to partners, at industry events, and to Anchorage leadership.
• Act as a trusted thought partner to senior leadership on platform strategy, competitive positioning, and market opportunity.

You may be a fit for this role if you have:

• 7+ years of product management experience, with significant experience building B2B2C, payment or platform/infrastructure products.
• Proven track record building 0-to-1 platform products , ideally in fintech, banking-as-a-service, payments, or crypto infrastructure.
• Deep understanding of platform business models , including API-first products, developer ecosystems, multi-tenant architectures, and partner enablement.
• Experience with regulated financial services , you understand the interplay between product velocity and compliance requirements (AML/KYC, bank regulations, money transmission).
• Strong technical fluency , you can go deep on API design, system architecture, ledger systems, and data models, and you earn credibility with engineering teams.
• Experience defining and shipping compliance-embedded products , where regulatory requirements are not a bolt-on but a core part of the product value proposition.
• You self-describe as some combination of the following: creative, humble, ambitious, detail oriented, hard working, trustworthy, eager to learn, methodical, action oriented, and tenacious.

Although not a requirement, bonus points if you have:

• Built or led a banking-as-a-service, custody-as-a-service, or payments-as-a-service platform.
• Direct experience with crypto custody, digital asset wallets, or blockchain infrastructure.
• Worked on multi-jurisdictional product launches involving complex regulatory coordination.
• Background in engineering, equipping you with the acumen to effectively collaborate with technical teams.
• Experience with white-label or embedded finance products.
• Seen and were emotionally moved by the musical Hamilton :)

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As a Financial Crimes Compliance (FCC) Product Manager, you will define strategy, roadmap, and requirements to prevent money laundering, fraud, and illicit financing. You will manage the entire product development lifecycle to ensure regulatory compliance (AML/KYC/Sanctions) while balancing customer experience and risk mitigation.

Technical Skills:

• Own the detailed prioritization of your product’s roadmap, balancing new feature development and technical debt.
• Demonstrate deep strategic thinking in shaping the product roadmap, considering market trends, competitive landscape, and customer needs to drive long-term product success.
• Deliver complex, cross-functional projects with multiple dependencies, demonstrating strong product management skills and ability to drive swift execution while maintaining quality.
• Drive comprehensive go-to-market strategy and execution, including defining success metrics, tracking key performance indicators, and iterating based on data-driven insights.
• Work closely with your engineering and design counterparts to drive product development processes and planning.
• Ability to understand system architecture, and communicate clear requirements to engineering.

Complexity and Impact of Work:

• Lead and influence cross-functional teams while maintaining strong stakeholder relationships across the organization.
• Exercise independent decision-making and take full ownership of product strategy and execution.
• Contribute strategic insights that significantly impact company direction and product roadmap.
• Demonstrate product leadership that elevates team performance and effectiveness.

Organizational Knowledge:

• Develop deep understanding of Anchorage's business model, organizational structure, and strategic priorities.
• Build and maintain strong relationships with stakeholders across departments to ensure effective collaboration.
• Navigate and improve organizational processes to enhance efficiency and effectiveness.
• Contribute to organizational strategy through product expertise and market insights.
• Drive company objectives through strategic product decisions and initiatives.
• Actively contribute to organizational knowledge sharing and collective understanding.

Communication and Influence:

• Effectively influence and motivate others through respectful engagement, aligning teams with broader organizational goals.
• Enable cross-functional collaboration through clear, consistent communication and strategic influence on decision-making at every level of the organization.
• Act as a thoughtful knowledge partner to senior leadership, helping improve organizational dynamics through empathetic understanding.

You may be a fit for this role if you:

• Have 5+ years of relevant product management experience.
• Have proven experience in developing compliance systems within FinCrime, AML, KYC, fraud, at a regulated retail financial services/exchange.
• Have a deep understanding of financial crime regulations (AML/KYC/Sanctions) and compliance frameworks.
• Can leverage your empathy and adaptability to not only complement others’ working styles but also to embody our culture of curiosity, creativity, and shared understanding.
• Have experience driving and managing complex projects across multiple teams, demonstrating exceptional leadership and problem-solving skills.
• Are deeply invested in optimizing the end-user experience and leveraging it to create business value.
• Have exceptional written and verbal communication skills, adept at conveying complex concepts clearly to diverse audiences, including both internal teams and external stakeholders.
• Self describe as some combination of the following: creative, humble, ambitious, detail oriented, hard working, trustworthy, eager to learn, methodical, action oriented, and tenacious.

Although not a requirement, bonus points if you have:

• Written your own smart contract or dApp.
• Built 0 to 1 products for financial institutions either as a PM or a developer.
• Seen and were emotionally moved by the musical Hamilton :)

Additional Information About Anchorage Digital:

Who we are The Anchorage Village, what we call our team, brings together the brightest minds from platform security, financial services, and distributed ledger technology to provide the building blocks that empower institutions to safely participate in the evolving digital asset ecosystem.

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The role involves leading the complete subsystem lifecycle,from requirements gathering and architecture definition to final release phases. This includes crafting subsystem architectures, developing comprehensive functional specifications, defining and implementing micro-architectures, and driving RTL quality checks.

The ideal candidate will have a minimum of 8 years of hands-on experience in RTL design and subsystem architecture for complex ASIC/SoC projects. They should be proficient with standard protocols including PCIe, DDR, UFS, USB, and AMBA, and have demonstrated expertise in low power design methodologies and DFT architecture.

As a leader, the candidate will inspire and guide their peers, leveraging their experience to drive innovation, efficiency, and reliability. They should be committed to continuous learning, open to new perspectives, and value an inclusive workplace where ideas from all backgrounds contribute to groundbreaking solutions.

The role offers a comprehensive range of health, wellness, and financial benefits to cater to the needs of the employee. The total rewards include both monetary and non-monetary offerings.

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We're seeking a Staff Engineer MBSE to join our team.

Innovation Starts Here

At Ansys, Part of Synopsys, we're the global leader in engineering simulation software, helping innovative companies solve complex design challenges. Our cutting-edge solutions power advancements across industries, from aerospace to consumer electronics.

What You'll Be Doing:

• Lead and drive technical engagements across the customer lifecycle, from problem definition through solution deployment.
• Act as a trusted advisor to customers, driving adoption and scaling of MBSE and digital engineering practices across engineering teams and leadership levels.
• Engage with customers to enable and guide definition of system architectures, requirements structures, and digital engineering strategies.
• Develop and implement MBSE-driven solutions, enabling customers to adopt and scale these approaches using SysML-based system modeling approaches.
• Drive integration of system architecture models, behavior execution engines, and engineering analyses into cohesive digital engineering workflows.
• Define and enable implementation of end-to-end traceability frameworks across requirements, architecture, behavior, and verification.
• Partner with product teams to influence roadmap and advance interoperability across MBSE and simulation ecosystems.

The Impact You Will Have:

• Drive adoption of executable MBSE and digital engineering practices across complex organizations.
• Influence the evolution of MBSE practices through real-world application and feedback.
• Contribute directly to business growth through strategic, high-impact engagements.
• Enable successful digital engineering transformations within customer environments, advancing industry capabilities.
• Shape product direction and interoperability through collaboration with development teams and industry partners.
• Elevate customer satisfaction and long-term partnerships through expert guidance and innovative solutions.

What You'll Need:

• MS (or PhD) in Engineering, Systems Engineering, or related field.
• 5+ years of experience in systems engineering, MBSE, or system architecture development.
• Experience with system modeling approaches (e.g., SysML or similar frameworks).
• Experience with requirements-driven engineering and traceability.
• Strong programming or scripting skills (Python preferred).
• Experience integrating models, behavior, and/or engineering tools into automated workflows.
• Strong analytical, problem-solving, and communication skills.
• Ability to operate effectively in a customer-facing, consultative engineering role.
• Experience with ModelCenter or similar workflow orchestration tools (preferred).

Who You Are:

• Customer-focused and able to build trusted relationships.
• Comfortable influencing and communicating with senior technical and executive stakeholders.
• Able to bridge engineering depth with strategic decision-making.
• Self-driven, organized, and capable of managing multiple priorities.
• A collaborative team player who contributes to a culture of learning and innovation.

The Team You'll Be A Part Of:

You will be part of a multidisciplinary engineering team focused on advancing model-based systems engineering, digital engineering, and system-level integration. The team works closely with customers, product development, and go-to-market functions to deliver scalable, high-impact solutions.

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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They work on intricate tasks such as chip architecture, circuit design, and verification to ensure the efficiency and reliability of semiconductor products.

These engineers play a crucial role in advancing technology and enabling innovations in various industries.

Job Description

We are seeking a highly skilled engineer with a strong background in system-on-chip (SOC) architecture and development.

With significant experience in advanced nodes and complex SOC projects, you excel at translating technical requirements into innovative, robust solutions.

You are comfortable navigating all stages of SOC design—from architecture and RTL development through to tapeout and post-silicon validation.

Your technical expertise is matched by your collaborative spirit, allowing you to work effectively within cross-functional teams and mentor junior engineers.

You’re adept at engaging directly with customers, understanding their needs, and delivering tailored solutions that drive their success.

Responsibilities

• Lead SOC development projects from architectural definition through post-silicon validation and customer delivery.

• Provide technical guidance and mentorship to engineering teams, supporting micro-architecture and RTL development.

• Collaborate directly with customers to address their specific requirements and deliver tailored solutions.

• Manage key stages of SOC development, including design verification, DFT, physical design, and tapeout management.

• Work closely with partners on software, firmware, and packaging to ensure seamless integration of solutions.

• Participate in occasional travel and on-site engagements at customer premises to support project execution.

Impact

• Drive the successful delivery of advanced SOC projects across automotive, aerospace, and high-performance computing sectors.

• Enhance Synopsys’ reputation as an industry leader in SOC design and innovation.

• Mentor and support engineering talent, fostering a culture of continuous improvement and technical excellence.

• Increase customer satisfaction by providing high-quality, high-performance SOC solutions.

• Contribute to successful tapeouts and product launches, expanding Synopsys’ impact in the semiconductor industry.

• Shape the development of smart, connected devices through your technical expertise and collaborative approach.

Requirements

• BSEE, MSEE, or Ph.D. in Electrical and/or Computer Engineering.

• At least 8 years of experience in SOC-level architecture and RTL development.

• Strong proficiency in SOC system architecture, micro-architecture, RTL development, design verification, DFT, and tapeout management.

• Solid understanding of high-performance computing architectures for mobile, data center, automotive, and edge computing SOCs.

• Experience with interconnect options (Arteris NOC, AMBA AXI, CXL, etc.) and SOC standard interfaces (PCIe, DDR, HBM, MIPI CSI/DSI, SPI, I2C).

• Implementation knowledge of CPU architectures (RISCV, ARC, X86, ARM).

• Hands-on experience with workflow tools (git, gitlab, github)

• Ability to travel and work on-site as needed; eligibility for government security clearances is a plus.

Team

You will join the System Solutions team, a group of passionate engineers dedicated to enabling customers with end-to-end SOC designs in advanced technologies.

The team delivers comprehensive tool flows, develops innovative design methodologies, and provides customer-specific assistance.

Our collaborative environment encourages continuous learning, knowledge sharing, and technical excellence, supporting customers from start-ups to industry leaders across a wide range of applications.

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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Key responsibilities include:

• Managing the full SOC development lifecycle, including micro-architecture, RTL design, verification, DFT, physical design, and tapeout management.
• Collaborating with partners on software, firmware, and packaged part solutions, ensuring seamless integration and delivery.
• Occasionally traveling and working on-site at customer premises to support project execution and strengthen customer relationships.

As a Principal Engineer, you will shape Synopsys' role as a trusted partner for advanced SOC design across multiple industries, including automotive, aerospace, and high-performance computing. You will advance the adoption of cutting-edge technologies and design methodologies in customer projects. You will mentor and develop engineering talent, fostering technical excellence and innovation within the team.

To succeed in this role, you will need:

• BSEE, MSEE, or Ph.D. in Electrical and/or Computer Engineering.
• Minimum 10 years of experience in SOC-level architecture and RTL development.
• Proficiency in SOC system architecture, micro-architecture, RTL development, design verification, DFT, and tapeout management.
• Expertise in high-performance computing architectures for mobile, data center, automotive, and edge computing SOCs.
• In-depth knowledge of interconnect options (Arteris NOC, AMBA AXI, CXL, etc.) and SOC standard interfaces (PCIe, DDR, HBM, MIPI CSI/DSI, SPI, I2C).
• Implementation experience with CPU architectures (RISCV, ARC, X86, ARM).
• Hands-on experience with workflow tools (git, gitlab, github).
• Ability to travel and work on-site as needed; eligibility for government security clearances is a plus.

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They work on intricate tasks such as chip architecture, circuit design, and verification to ensure the efficiency and reliability of semiconductor products.

These engineers play a crucial role in advancing technology and enabling innovations in various industries.

Job Description

Date posted: 03/09/2026

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 and accomplished digital design engineer with an unyielding drive for excellence.

You thrive in technically challenging environments, where your deep understanding of RTL design and system architecture allows you to craft innovative solutions for complex problems.

With a solid foundation in electrical engineering or VLSI, you have accumulated over five years of hands-on experience in designing and implementing ASIC solutions, particularly focusing on high-performance protocols such as DDR PHY, PCIe, USB, or HBM.

Your expertise extends beyond individual contribution—you are equally comfortable leading and mentoring small design teams, fostering an environment of collaboration and shared learning.

What You’ll Be Doing:

• Lead and Drive all aspects of complete IP Design execution from start to end.

• Architecting, designing, and implementing state-of-the-art RTL for the next-generation high-performance DDR PHY and related IP cores.

• Translating standard and functional specifications into detailed architecture, micro-architecture, and design documentation for medium- to high-complexity features.

• Contributing as an individual designer and also lead other engineers in —handling RTL coding, lint/CDC analysis, synthesis, debug, and test plan development.

• Collaborating with global teams across multiple sites, ensuring cohesive project execution and knowledge sharing.

• Lead and mentor teams of RTL designers, providing technical guidance and fostering professional development.

• Engaging in continuous process improvement, proposing and implementing enhancements to design flows and methodologies.

• Troubleshooting and resolving design and verification issues, ensuring robust and high-quality deliverables.

The Impact You Will Have:

• Directly contributing to the design and delivery of high-performance IP cores that power industry-leading semiconductor solutions worldwide.

• Elevating Synopsys’ reputation for technical excellence and innovation in the IP design space.

• Accelerating the adoption of advanced protocols and interfaces in cutting-edge technologies.

• Enabling customers to achieve faster time-to-market and superior silicon performance.

• Mentoring and uplifting team members, fostering a culture of knowledge sharing and technical growth.

• Driving continuous improvement in design methodologies, enhancing efficiency and product quality.

• Supporting Synopsys’ mission to remain at the forefront of the Era of Pervasive Intelligence through breakthrough silicon solutions.

What You’ll Need:

• Bachelor’s or Master’s degree in Electrical Engineering, Electronics, VLSI, or related discipline.

• 10+ years of relevant industry experience in ASIC digital design, with a focus on protocols like DDR, PCIe, USB, or HBM.

• Past experience of leading IP deign projects, team.

• In-depth experience with RTL coding in Verilog/SystemVerilog and simulation tools for ASIC design.

• Strong command of design flows, including lint, CDC, synthesis, static timing analysis, and formal verification.

• Hands-on expertise in architecting and implementing control path-oriented designs (e.g., asynchronous FIFOs, DMA, SPRAM/DPRAM interfaces).

• Familiarity with scripting languages such as Perl or Shell—an advantage.

• Demonstrated ability to technically lead or mentor small teams of engineers.

Who You Are:

• A collaborative team player who thrives in a multi-site, multicultural environment.

• An effective communicator, able to translate complex technical concepts for diverse audiences.

• A proactive problem-solver with strong analytical and troubleshooting skills.

• Self-motivated, showing high initiative and ownership of responsibilities.

• Adaptable and eager to learn, always seeking opportunities for personal and professional growth.

• Committed to fostering a positive, inclusive, and innovative team culture.

The Team You’ll Be A Part Of:

You will join the R&D Solutions Group at our Bengaluru Design Center, a dynamic and diverse team dedicated to the design and development of industry-leading DesignWare IP cores.

As a Technical Individual Contributor, you will collaborate with global experts in a multi-site environment, contributing to technically challenging projects that push the boundaries of silicon design.

The team values innovation, continuous learning, and the sharing of knowledge, offering ample opportunities for growth and leadership.

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.

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.

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.

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At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We are a global organisation with teams distributed between France, USA, UK, Germany, and Singapore. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments.

Our offerings include le Chat, the AI assistant for life and work.

About The Job

Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers.

In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases.

You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle—from pre-sales to post-implementation—while collaborating closely with research, product, and engineering teams to shape the future of our offerings.

As a Technical Lead, you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral’s technological vision.

Responsibilities

• Deliver as an IC the critical lines of codes of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects. You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions.

• Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries.

• Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders.

• Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives.

• Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment.

• Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle.

How We Work in Applied AI

• We care about people and outputs. What matters is what you ship, not the time you spend on it.

• Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week.

• Always ask why. The best solutions come from deep understanding, not from copying what worked before.

• We say what we mean. Feedback is direct, timely, and given because we care.

• No politics. Low ego, high standards.

• We embrace an unstructured environment and find joy in it.

Requirements

• You are fluent in English.

• You hold a PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field.

• You have 7/8+ years of experience in AI/ML, with at least 2+ years in a technical leadership role (e.g., Tech Lead, Engineering Manager, or Solutions Architect) focused on AI products or enterprise solutions.

• You have a proven track record of leading teams to deliver complex AI projects, from prototyping to production, in industries such as tech, finance, healthcare, or industrial automation.

• You possess deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale.

• You are proficient in Python, PyTorch, and modern AI frameworks (e.g., LangChain, Hugging Face). Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus.

• You have strong software engineering skills, including API design, backend/full-stack development, and system architecture.

• You excel in technical communication, with the ability to articulate complex concepts to both technical and non-technical audiences, including executives and engineers.

• You thrive in fast-paced, collaborative environments and are passionate about mentoring and growing technical talent.

Ideally, you have:

• Contributed to open-source projects, particularly in the LLM or AI space.

• Experience in customer-facing roles (e.g., Solutions Architect, Customer Engineer, or Technical Product Manager) with a focus on enterprise AI adoption.

• A track record of driving technical strategy and influencing product direction based on customer needs and market opportunities.

Why join us?

You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you!

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Responsibilities:

• Design, implement and maintain highly-optimized communication runtimes for Deep Learning frameworks (e.g. NCCL for TensorFlow/Pytorch) and HPC programming interfaces (e.g. UCX for MPI/OpenSHMEM) on GPU clusters.
• Participate in and contribute to parallel programming interface specifications like MPI/OpenSHMEM.
• Design, implement and maintain system software that enables interactions among GPUs and interactions between GPUs and other system components.
• Create proof-of-concepts to evaluate and motivate extensions in programming models, new designs in runtimes and new features in hardware.

Requirements:

• M.S./Ph.D. degree in CS/CE or equivalent experience.
• 5+ years of relevant experience.
• Excellent C/C++ programming and debugging skills.
• Strong experience with Linux.
• Expert understanding of computer system architecture and operating systems.
• Experience with parallel programming interfaces and communication runtimes.
• Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.

Nice to Have:

• Deep understanding of technology and passionate about what you do.
• Experience with CUDA programming and NVIDIA GPUs.
• Knowledge of high-performance networks like InfiniBand, iWARP etc.
• Experience with HPC applications.
• Experience with Deep Learning Frameworks such PyTorch, TensorFlow, etc.
• Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic matrix environment.

Benefits:

• Highly competitive salaries.
• Comprehensive benefits package.
• Eligibility for equity.
• Opportunity to work with a world-class engineering team.
• Ability to work in a dynamic matrix environment.
• Opportunity to contribute to cutting-edge technology.
• Flexible work arrangements.
• Professional development opportunities.

How to Apply:

Applications for this job will be accepted at least until March 13, 2026. NVIDIA uses AI tools in its recruiting processes.

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Responsibilities

• Scale and optimise our trading systems across multiple energy markets
• Build and maintain integrations with exchanges and data providers
• Develop new and improve existing proprietary trading technology for risk management, P&L tracking, and weather forecasting
• Ensure seamless integration between trading operations and retail customer platforms (usage data, billing, tariff management)
• Work closely with quants and traders, putting trading strategies into production and building new tools
• Mentor and grow a high-performing team of engineers

Requirements

• Proven track record as a senior software engineer, tech lead, or engineering manager within trading
• 5+ years of experience as a software engineer, including 2+ years in a technical leadership role
• Hands-on experience with cloud infrastructure and event-driven architectures
• Strong understanding of trading system architecture, including market data ingestion, execution engines, pricing, and risk systems
• Track record of setting technical vision and aligning engineering initiatives with broader business goals

Benefits

• Competitive salary and an equity sign-on bonus
• Biannual bonus scheme
• Fully expensed tech to match your needs
• Paid annual leave
• Breakfast and dinner allowance for office based employees

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Responsibilities

• Scale and optimize our trading systems across multiple energy markets
• Build and maintain integrations with exchanges and data providers
• Develop new and improve existing proprietary trading technology for risk management, P&L tracking, and weather forecasting
• Ensure seamless integration between trading operations and retail customer platforms (usage data, billing, tariff management)
• Work closely with quants and traders, putting trading strategies into production and building new tools
• Mentor and grow a high-performing team of engineers

Requirements

• Proven track record as a senior software engineer, tech lead, or engineering manager within trading
• 5+ years of experience as a software engineer, including 2+ years in a technical leadership role
• Hands-on experience with cloud infrastructure and event-driven architectures
• Strong understanding of trading system architecture, including market data ingestion, execution engines, pricing, and risk systems
• Track record of setting technical vision and aligning engineering initiatives with broader business goals

Benefits

• Competitive salary and an equity sign-on bonus
• Biannual bonus scheme
• Fully expensed tech to match your needs
• Paid annual leave
• Breakfast and dinner allowance for office-based employees

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The Enterprise Architect - Retail & Omni-Channel will collaborate with the other key areas of the company (business/IT) to ensure that plans are based on the overall Strategy and Architecture direction, defining new requirements and driving innovative business processes and technical solutions.

You will be responsible for setting the future direction of these capabilities, outlining a roadmap that meets the strategic needs of the organisation and working with the relevant teams to assure their delivery.

Essential Duties and Responsibilities:

• Collaborate with IT leaders, other Enterprise Domain Architects and leaders in the business to document IT capability requirements (strategic) as part of annual/on-going planning and governance.
• Deliver Enterprise IT strategic roadmaps for Retail, eCommerce and Direct To Consumer channels (3+ year forward looking view) that are focused on technology capabilities for Business, Information (data) and Technology solutions.
• Ensure that roadmaps reflect invest/divest, retirement, and consolidation strategies for systems globally and that industry best practices and benchmarks are incorporated into deliverables.
• Ensuring that solution design is aligned with the target domain architecture and business roadmaps.
• Lead and deliver enterprise evaluations and analyses that adhere to established global IT project and requirements management methodologies, governance/check-point, release management, and tools standards for approved projects requiring IT solutions
• Partner with IT functions and their solution architects to design integrated IT solutions (including the build vs. buy decision) that translate business capability requirements and adhere to established global IT technology standards (infrastructure, application, integration, data).
• Provide Architecture consulting to solution architects within delivery/execution teams (design, build/test, conversion/cutover) for business and technical projects across the globe.
• Provide analysis and recommendations, via benchmarks and external industry point of view, on enterprise department performance for “Run and Maintain”.
• Support IT and business leaders with technology advisory services for engaging with the business to “solve” business problems via technology and process innovation relative to IT capability requirements.
• Act as informal mentor and coach to Solution Architects within other IT teams.
• Contribute and represent Retail and Omni-Chanel at the IT Architectural Board.
• Work directly with external vendors and advisory agencies to bring relevant best practices to the Enterprise Architecture team.

Qualifications

• Bachelor's degree in Computer Science, Engineering or related discipline/experience preferred
• Minimum 5+ years of IT experience in an architecture role responsible for both business systems support and the successful delivery and deployment of IT technology-based solutions
• Well-versed in Enterprise Architecture, including network, data, application, system, and integration architecture.
• TOGAF Certification or other architecture professional certification a plus

Experience

• Apparel experience strongly desired, particularly with retail or wholesale.
• Consumer products, and/or apparel retailing experience preferred.
• SAP Retail or equivalent Retail Merchandising System experience preferred.
• Hybris, ATG, Sterling or other headless eCommerce platforms experience preferred.
• Point of Sale and other Retail System implementation experience preferred
• Understanding of technology directions, trends and strategic business impacts related to the retail industry.
• Proficiency in process management, technology evaluation, project management and business intelligence.
• Familiarity with the balanced scorecard concept, IT standards such as ITIL and COBIT and compliance topics such as Sarbanes-Oxley (SOX) and Payment Cards Industry (PCI) standards are preferred.
• Experience leading systems implementations to a successful conclusion.

Clear understanding of the software development lifecycle (SDLC) and project and business process management methodologies and tools.

Excellent written and verbal communication skills and presentation skills.

Ability to serve as a change agent and influence business direction.

• Ability to work effectively in a global and matrixed environment.

About your team

Our CRL (Consumer Goods, retail & Logistics) practice helps some of the largest global firms and most recognizable local brands solve their biggest challenges in today’s age of constant disruption. With diverse services spanning growth strategy and new product innovation, to omni-channel customer experience, supply chain resiliency and AI-driven new business models, we help clients shape and achieve their growth agenda for a sustainable future. We transform traditional organizations to digitally centric business models and drive new revenue streams.

About Infosys Consulting

Be part of a globally renowned management consulting firm on the front-line of industry disruption and at the cutting edge of technology.  We work with market leading brands across sectors. Our culture is inclusive and entrepreneurial. Being a mid-size consultancy within the scale of Infosys gives us the global reach to partner with our clients throughout their transformation journey.

Our core values, IC-LIFE, form a common code that helps us move forward. IC-LIFE stands for Inclusion, Equity and Diversity, Client, Leadership, Integrity, Fairness, and Excellence. To learn more about Infosys Consulting and our values, please visit our careers page.

Within Europe, we are recognized as one of the UK’s top firms by the Financial Times and Forbes due to our client innovations, our cultural diversity and dedicated training and career paths. Infosys is on the Germany’s top employers list for 2023. Management Consulting Magazine named us on their list of Best Firms to Work for. Furthermore, Infosys has been recognized by the Top Employers Institute, a global certification company, for its exceptional standards in employee conditions across Europe for five years in a row.

We offer industry-leading compensation and benefits, along with top training and development opportunities so that you can grow your career and achieve your personal goals. Curious to learn more? We’d love to hear from you.... Apply today!

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Constructor is a U.S. based company that has been in the market since 2019, building a next-generation platform for search and discovery in ecommerce. Our search engine is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents.

About the Team

The Recommendation Cross-Channel & Offsite Discovery team is building a platform that empowers marketers to unlock the full potential of multichannel ecommerce discovery. Our service leverages real-time shopper behaviour from website activity to power personalized offsite experiences across multiple channels - including Emails, Push notifications, ads, and more.

Responsibilities

As an Engineering Manager, you will be responsible for leading and scaling the Offsite Discovery team to build a performant, scalable, reliable, and cost-efficient platform that delivers personalized results beyond the storefront. Specific responsibilities include:

• Partner with the Product Manager and other stakeholders to set quarterly goals tied to measurable service and business impact
• Guide engineers’ growth by helping them develop new skills, expand ownership, and overcome challenges
• Lead the recruiting and hiring processes for your team
• Define and execute the team’s engineering strategy
• Establish metrics, dashboards, and alerting that make operational health and delivery success transparent
• Continuously improve the team’s operational excellence through the team’s tech stack, processes, and tools
• Drive measurable improvements in the product capabilities, costs, and performance
• Collaborate with neighboring engineering and non-engineering teams, define and maintain clear interfaces and ownership boundaries

Requirements

• 5+ years of software development experience, at least 2 years directly leading engineering teams
• Proven record of designing and operating high-load real-time systems in production environments
• Proficiency in Python and experience with at least one major cloud platform (AWS preferred). Familiarity with JavaScript is a plus
• Solid understanding of system architecture and API design principles
• Experience hiring, mentoring, and developing engineers in fast-growing teams
• Skilled at setting technical direction and translating product goals into clear engineering milestones
• Excellent written and verbal communication skills in English
• Able to attend regular meetings between 11 am – 5 pm UTC

Benefits

• Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year
• Fully remote team - choose where you live
• Work from home stipend! We want you to have the resources you need to set up your home office
• Apple laptops provided for new employees
• Training and development budget for every employee, refreshed each year
• Maternity & Paternity leave for qualified employees
• Work with smart people who will help you grow and make a meaningful impact
• This position has a base salary range between $100k and $130k USD. The offer varies on many factors including job related knowledge, skills, experience, and interview results
• Regular team offsites to connect and collaborate

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At Epic Games, we're looking for a talented Lead Engine Programmer to join our Unreal Engine team. As a key member of our team, you'll be responsible for leading a group responsible for the entire technology stack behind Unreal Editor for Fortnite, empowering creators to build bigger and better experiences while pushing the boundaries of the state of the art in dynamic content authoring and delivery.

Key Responsibilities

• Lead a team that maintains, optimises, and enhances workflows and tooling behind UEFN.
• Be a vision holder for our medium and long-term UEFN pipeline development strategy.
• Architect the systems and approaches to making large-scale changes incrementally in a live product
• Work closely with game teams to gather and satisfy stakeholders’ requirements.
• Actively contribute to the codebase, troubleshoot issues, and ensure their timely resolution .
• Plan, schedule, and prioritise work with and for your team, identify risks, and determine mitigations.

Requirements

• Proven experience leading an engineering team
• Strong C++ engineering skills
• Proven experience in architecting, developing, and releasing large systems
• Can drive forward long-term development goals whilst delivering on short-term wins, holding a team accountable for their output
• Demonstrates a passion for improving developer workflows and user experience
• Ability to communicate and work across organisations, networks, build relationships, and coordinate with other teams

Benefits

We offer a comprehensive benefits package, including:

• 100% paid benefits except for PMI (for dependents)
• Pension
• Private medical insurance
• Health care cash plan
• Dental insurance
• Disability and life insurance
• Critical illness
• Cycle to work scheme
• Flu shots
• Health checks
• Meals
• A robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents.

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Pioneering the next generation of AI requires breakthrough innovations in GPU performance and systems engineering. As a GPU Performance Engineer, you'll architect and implement the foundational systems that power Claude and push the frontiers of what's possible with large language models. You'll be responsible for maximizing GPU utilization and performance at unprecedented scale, developing cutting-edge optimizations that directly enable new model capabilities and dramatically improve inference efficiency.

Working at the intersection of hardware and software, you'll implement state-of-the-art techniques from custom kernel development to distributed system architectures. Your work will span the entire stack—from low-level tensor core optimizations to orchestrating thousands of GPUs in perfect synchronization.

Strong candidates will have a track record of delivering transformative GPU performance improvements in production ML systems and will be excited to shape the future of AI infrastructure alongside world-class researchers and engineers.

You might be a good fit if you:

• Have deep experience with GPU programming and optimization at scale
• Are impact-driven, passionate about delivering measurable performance breakthroughs
• Can navigate complex systems from hardware interfaces to high-level ML frameworks
• Enjoy collaborative problem-solving and pair programming
• Want to work on state-of-the-art language models with real-world impact
• Care about the societal impacts of your work
• Thrive in ambiguous environments where you define the path forward

Strong candidates may also have experience with:

• GPU Kernel Development: CUDA, Triton, CUTLASS, Flash Attention, tensor core optimization
• ML Compilers & Frameworks: PyTorch/JAX internals, torch.compile, XLA, custom operators
• Performance Engineering: Kernel fusion, memory bandwidth optimization, profiling with Nsight
• Distributed Systems: NCCL, NVLink, collective communication, model parallelism
• Low-Precision: INT8/FP8 quantization, mixed-precision techniques
• Production Systems: Large-scale training infrastructure, fault tolerance, cluster orchestration

Representative projects:

• Co-design attention mechanisms and algorithms for next-generation hardware architectures
• Develop custom kernels for emerging quantization formats and mixed-precision techniques
• Design distributed communication strategies for multi-node GPU clusters
• Optimize end-to-end training and inference pipelines for frontier language models
• Build performance modeling frameworks to predict and optimize GPU utilization
• Implement kernel fusion strategies to minimize memory bandwidth bottlenecks
• Create resilient systems for planet-scale distributed training infrastructure
• Profile and eliminate performance bottlenecks in production serving infrastructure
• Partner with hardware vendors to influence future accelerator capabilities and software stacks

Deadline to apply: None. Applications will be reviewed on a rolling basis.

The expected salary range for this position is:

Annual Salary: $280,000 - $850,000USD

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Location

San Francisco

Employment Type

Full time

Department

Scaling

Compensation

• $266K – $445K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

OpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI’s supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI.

About the Role

We are seeking a highly skilled cross-stack power architect with deep expertise in making ML systems energy efficient. This hands-on individual contributor will sit within our silicon implementation team and work closely with architecture, kernels, chip design, silicon implementation, platform design, and the broader industry ecosystem to architect, implement, and deploy performance-per-watt optimized next-generation AI accelerator chips and systems.

In this role, you will:

• Oversee power architecture, implementation, and execution in silicon from concept to high-volume deployment, and propose high-ROI features to maximize performance under power envelope

• Build chip and system-level power models grounded in empirical data and experience to guide organization-wide energy efficiency strategy. This requires a detailed understanding of ML workloads, ML chip and system architecture, silicon design, implementation, and characterization

• Collaborate with chip and platform architecture/design teams to explore and implement power management features, including the specification and implementation of digital/mixed-signal IP, sensing and telemetry, firmware/system software, and silicon characterization methodology (in partnership with engineering teams)

• Partner with silicon design and implementation teams, to optimize performance under power envelope. This includes (but is not limited to) clocking and power domain architecture, voltage/frequency selection, microarchitecture and physical-design driven power reduction, post-silicon voltage margin optimization and workload-informed power optimization

• Work with ecosystem partners (EDA, ASIC, IP, component vendors) to drive innovations that can improve energy efficiency

Qualifications:

• Relevant degree and strong industry experience focused on the end-to-end energy-efficient ML silicon codesign

• Hands-on experience with power architecture, power estimation, power management and power optimization is required.

• Fundamental understanding of ML chip and platform architecture, performance modeling and workload power/performance characteristics is strongly preferred.

• Hands-on experience with power bring-up and power validation is strongly preferred.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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About Us:

Fifth Dimension is building _the_ all-in-one platform for commercial real estate, vastly outperforming horizontal AI players on complex tasks requiring deep enterprise and institutional knowledge. We have an established international customer base of Enterprise CRE companies, strong traction across US and Europe as well as some customers in APAC

We’re a hypergrowth early-stage startup with ample runway, backed by Tier 1 European and American investors - in the last year we’ve seen 7x ARR growth and 13x’d product usage. We currently have offices in London and New York, and a Singapore office opening in Q1 2026 - of which you’ll be a founding member.

The founders, Johnny Morris and Dr. Kate Jarvis, are both data nerds But that's not all! Johnny's got 16 years' experience applying data and analytics to Real Estate, our GTM niche, and Kate's got a PhD in Linguistics from Stanford and 12 years' CPTOing across Silicon Valley and London startups. We're demanding, excitable, encouraging of experimentation, adoring of bad puns, full of smart and autonomous folks, and have built our business on a foundation of compassion and kind challenge.

Sound like your cup of tea (or coffee) ?

Role Overview:

As one of 2 hires for the new Singapore HQ, you have the opportunity to shape an entirely new geo with the biggest players in Commercial Real Estate. You'll be the critical bridge between our innovative AI solutions and prospective customers' business challenges, as well as developing the insights to help us tailor our product to the region.

Day-to-day you'll work alongside the incoming Head of Sales and EU staff seconded to Singapore to win complex deals, as well as collaborating with UK & US colleagues through largely async tools and processes. You'll operate with real autonomy: we need someone who can handle high stakes technical conversations, develop POCs, deliver demos, and make decisions - without waiting for the rest of the company to wake up

This is a high-ownership role for someone who's energised by building from the ground up. You’ll be pivotal in expanding our APAC customer base - shaping how we sell, demo, and position in this region. And as we scale, you'll have the opportunity to build out the technical sales function you're establishing. This is your chance to be foundational to a region for a company with real traction and the ambition to become the most valuable platform in commercial real estate.

Key Responsibilities:

• Technical Discovery & Evaluation: Run in-depth technical discovery meetings with senior customer stakeholders (up to Executive level) to understand prospect needs, pain points, and technical requirements. Evaluate the ROI of building new data pipelines.

• Solution Design: Architect and present custom solutions that align our AI capabilities with client business objectives. Run API mapping and hand over clean specs to engineering post-sale.

• Demo Excellence: Create and deliver compelling product demonstrations and Proof of Concepts that showcase the value of our platform in relevant, customer-specific scenarios - using our platform, and Claude Code/Open AI codex etc

• Technical Objection Handling: Address and overcome technical objections with clear, concise explanations that build prospect confidence.

• Cross-Functional Collaboration: Work closely with Sales, Solutions, and Engineering teams to share customer insights, influence product direction, and ensure implementation success.

• APAC Product Voice: Be opinionated on how our product needs customisation for APAC markets, communicate clearly to Engineering, influence the roadmap to ensure we're building what the region actually needs.

You'll travel ~25% of the time within APAC for customer meetings and conferences, plus quarterly trips to the UK HQ/other international location for all-company gatherings.

What We're Looking For:

You've thrived in an early-stage high-growth VC-backed startup, or in a similar role at a scaleup (think: being the first to sell and build a team around a shiny new product or geo). This isn't just preferred - it's required.

Must

• Pre-Sales Experience: 8+ years in Enterprise B2B SAAS pre-sales engineering, solutions consulting, or technical sales; for a technical product

• Industry Knowledge: Worked in Real Estate / Proptech

• Technical Acumen: Understanding of APIs, data integration, AI/ML concepts, and system architecture

• Product-minded: You can evaluate build vs. buy decisions, push back on requirements that aren't feasible (to the point of killing a deal), and articulate what the market actually needs versus what customers say they want. You've worked closely with engineering teams before - not just handing off requests, but shaping what gets built.

• AI-native:You can’t go a day without using Claude Code / Open AI codex etc - you can talk for hours about how you’ve integrated these tools into your day-to-day, and what you’ve built

• Great Communicator: Exceptional presentation abilities, with experience leading technical discussions at various levels of an organization. Excellent async communicator - the majority of our company is in a timezone 8+ hours behind Singapore.

• Excellent Relationship Builder: You establish trust through technical credibility and genuine interest in customer success.

• Work Authorization:Must be a Singapore Citizen, Permanent Resident, or hold a valid work pass

• Hybrid Onsite Availability:Must be open to a hybrid work schedule (2+ days per week in office)

Nice to have

• Software engineering experience

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Microsoft AI are looking for a talented Software Engineer at their Beijing office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI experiences. You'll work directly with leadership to shape the company's direction in the AI and simulation markets.

About the Role

In this role, you will work across the full stack—spanning Frontend and Backend—combining robust engineering practices with the power of modern AI to deliver critical features for Copilot and our broader ecosystem. You will drive the technical design, implementation, and deployment of critical AI services and AI user interfaces. Set a high bar for AI-native engineering by leveraging deep understanding of advanced AI solutions and frontline AI coding experience to accelerate development cycles.

Accountabilities

• Drive the technical design, implementation, and deployment of critical AI services and AI user interfaces.
• Set a high bar for AI-native engineering by leveraging deep understanding of advanced AI solutions and frontline AI coding experience to accelerate development cycles.
• Actively explore the latest advancements in AI-assisted programming and integrate them into daily workflows to build low-latency backend services and responsive frontend interactions with greater efficiency.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Technical skills:

• Solid understanding of full-stack development, including deep proficiency in both Frontend frameworks (e.g., React, TypeScript) and Backend services, with a strong grasp of scalable system architecture and design patterns.

Personal attributes:

• A highly open mindset with a relentless drive for continuous learning.
• Demonstrated willingness to embrace new technologies, tools, and paradigms—especially the rapid evolution of AI coding workflows—and apply them to solve complex engineering challenges.

Benefits

• Work from a designated Microsoft office at least four days a week if you live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location.
• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

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Microsoft AI are looking for a talented Senior Software Engineer at their Vancouver office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising digital content technology. You'll work directly with leadership to shape the company's direction in the content market.

About the Role

As a Senior Software Engineer in the TSI team, you will directly impact billions of users by delivering safe, high-quality, and engaging content across products like Windows, Edge, and Outlook. You’ll apply advanced AI and LLM-based techniques to optimize content delivery and user experience. This opportunity will allow you to accelerate your career growth, deepen your understanding of large-scale content systems, and sharpen your skills in AI-driven engineering.

Accountabilities

• Independently uses appropriate artificial intelligence (AI) tools and practices across the software development lifecycle (SDLC) in a disciplined manner.
• Collaborates with and guides appropriate internal (e.g., product manager, privacy/security subject matter expert, technical lead) and external (e.g. customer escalation team, public forums) stakeholders to determine and confirm customer/user requirements for a project/sub-section of a product/solution.

The Candidate we're looking for

Experience:

• 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.

Technical skills:

• Experience in large scale system architecture, design, development, testing, and release, including but not limited to web applications, microservices in layers, database design, API design, performance tuning, telemetry design and analysis.

Personal attributes:

• Demonstrable history of excellent analytical and problem-solving skills.
• Demonstrated programming skills and knowledge of architectural patterns for large, high-scale applications.

Benefits

• Software Engineering IC4 – The typical base pay range for this role across Canada is CAD $114,400 – CAD $203,900 per year.
• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

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Microsoft AI are looking for a talented Senior Software Engineer at their Vancouver office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising digital content technology. You'll work directly with leadership to shape the company's direction in the content market.

About the Role

As a Senior Software Engineer in the TSI team, you will directly impact billions of users by delivering safe, high-quality, and engaging content across products like Windows, Edge, and Outlook. You’ll apply advanced AI and LLM-based techniques to optimize content delivery and user experience. This opportunity will allow you to accelerate your career growth, deepen your understanding of large-scale content systems, and sharpen your skills in AI-driven engineering.

Accountabilities

• Independently uses appropriate artificial intelligence (AI) tools and practices across the software development lifecycle (SDLC) in a disciplined manner.
• Collaborates with and guides appropriate internal (e.g., product manager, privacy/security subject matter expert, technical lead) and external (e.g. customer escalation team, public forums) stakeholders to determine and confirm customer/user requirements for a project/sub-section of a product/solution.

The Candidate we're looking for

Experience:

• 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.

Technical skills:

• Experience in large scale system architecture, design, development, testing, and release, including but not limited to web applications, microservices in layers, database design, API design, performance tuning, telemetry design and analysis.

Personal attributes:

• Demonstrable history of excellent analytical and problem-solving skills.
• Demonstrated programming skills and knowledge of architectural patterns for large, high-scale applications.

Benefits

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
• Software Engineering IC4 – The typical base pay range for this role across Canada is CAD $114,400 – CAD $203,900 per year.

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Microsoft are looking for an experienced Software Engineer to join the Ads Engineering team and help advance the core capabilities of our Ads serving stack. This system powers advertisements across a range of Microsoft services, including Bing Search, MSN, Start.com, and shopping experiences in the Edge browser.

About the Role

We are looking for an experienced Software Engineer to join the Ads Engineering team and help advance the core capabilities of our Ads serving stack. This system powers advertisements across a range of Microsoft services, including Bing Search, MSN, Start.com, and shopping experiences in the Edge browser. Our serving stack is a high-scale, low-latency, geo-distributed system with numerous components—including large-scale machine learning inference for ad ranking, real-time bidding infrastructure, and other subsystems supporting diverse ad scenarios. This role offers an exciting opportunity to contribute to the innovation and evolution of a system operating at an exceptional scale and speed. You’ll face a wide variety of technical challenges: from designing new features and optimizing performance down to the millisecond, to building scalable infrastructure for containerized services. You’ll work alongside a passionate, world-class engineering team, own major feature areas, and collaborate globally. If you thrive on solving complex technical problems in a dynamic environment, this is the opportunity for you.

Accountabilities

• Design and develop large-scale, distributed systems—including CPU and GPU ranking platforms—to support real-time processing of millions of ad requests per second with high efficiency, extensibility, diagnosability, reliability, and maintainability.
• Lead architecture discussions, create technical design documents, and drive end-to-end solution planning—identifying system dependencies, performance optimizations, and security/compliance requirements across interconnected services.

The Candidate we're looking for

Experience:

• 6+ years technical engineering experience with coding in languages including, but not limited to, C++, C#, Python.

Technical skills:

• Proven experience in designing, implementing, and validating deep learning systems for real-time online inference.
• Solid expertise in optimizing machine learning models for GPUs, including development of custom CUDA kernels for performance-critical workloads.
• Hands-on experience in designing, implementing, and scaling large-scale, distributed online systems with a deep understanding of system architecture.

Personal attributes:

• Proven ability to profile, analyze, and optimize performance and capacity of native C++ systems in complex, high-throughput environments.

Benefits

• Competitive salary range: $139,900 - $274,800 per year.
• Comprehensive benefits package, including medical, dental, and vision insurance.
• 401(k) matching program.
• Paid time off and holidays.
• Opportunities for professional growth and development.

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McLaren Automotive are looking for a talented Digital Project Manager at their Bicester office. This role bridges design, engineering, and product strategy to deliver intuitive, high-performance in-vehicle digital experiences across infotainment systems, instrument clusters, ambient lighting and connected services. You'll work directly with leadership to shape the company's direction in the automotive and technology markets.

About the Role

As a Digital Project Manager, you will lead end-to-end delivery of automotive UI design projects from concept through production. You will define project scope, timelines, milestones, budgets, and resource allocation. You will manage cross-functional teams including UX/UI designers, software engineers, system architects, and electrical engineers. You will ensure alignment with McLaren requirements, design direction, brand guidelines, and regulatory standards. You will communicate clearly and efficiently design decisions to Senior stakeholders through design programmes process, with ability to present concisely and with confidence autonomously.

Accountabilities

• Lead end-to-end delivery of automotive UI design projects from concept through production.
• Define project scope, timelines, milestones, budgets, and resource allocation.
• Manage cross-functional teams including UX/UI designers, software engineers, system architects, and electrical engineers.

The Candidate we're looking for

Experience:

• 5+ years of experience in digital project management, preferably within automotive, mobility, or embedded systems.

Technical skills:

• Proficiency in Agile methodologies and project management tools.
• Strong understanding of HMI systems, infotainment platforms, and in-vehicle software ecosystems.

Personal attributes:

• Excellent communication, leadership, and stakeholder management skills.
• A calm collected individual that thrives at a fast pace whilst being efficient with their time and workload.

Benefits

• Structured career development framework.
• 25 days’ holiday, plus bank holiday. Annual buy & sell up to five days.
• Enhanced company pension scheme.
• Discretionary annual bonus award.
• Private medical insurance and health cash plan.
• Life assurance benefit.
• Ability to apply for a sabbatical of up to one year after only two years’ service.
• Benefits you can adapt to your lifestyle, such as discounted shopping.
• Generous parental leave policies.
• A range of wellbeing initiatives, such as employee assistance programme and free financial & mortgage advice

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What you'll do

Our team is looking for an Engine Software Engineer to join our team and contribute to the development of our next-generation game engine.

• Develop and maintain the engine and its related systems
• Optimize performance, memory, and load times for PC and mobile platforms

What you need

• 7+ years of experience in related fields
• Proficiency in C/C++ and STL, with a deep understanding of memory and resource management

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