In this role, you will be responsible for leading and developing a team of dedicated engineers, ensuring that our solutions are effectively tailored to meet the specific requirements of the automotive and industrial sectors.

Key responsibilities include:

• Leading discussions and alignment with customers on software development topics and requirements (RFI/RFQ)
• Supporting decision-making by balancing customer needs and internal capabilities
• Coordinating and aligning customer requirements with headquarters' solutions and strategies
• Driving requirement clarification, scope definition, and solution agreement
• Ensuring customer requirements are accurately reflected in the proposed solutions

Additionally, you will:

• Lead customer engagements, including technical and commercial discussions and negotiations
• Identify and pursue new opportunities through market and customer insights
• Manage assigned business models and develop new opportunities in collaboration with application engineers

As a multifunctional collaborator, you will:

• Coordinate internal and external communications, including emails and technical discussions
• Coach application engineers (AEs) to enhance their capabilities in line with market and customer requirements
• Prepare, review, and maintain technical documents (e.g., requirements, specifications, reports)
• Document meeting minutes, decisions, and action items, and track follow-ups

Requirements include:

• Bachelor's degree or equivalent in Engineering (Mechanical, Mechatronics, Software, or a related field)
• Prior engineering experience in automotive R&D is highly desirable
• Self-motivated, with a systematic and structured approach to operations
• A business development orientation combined with an innovative, analytical mindset
• Foundational knowledge of systems, products, and applications within the AVL portfolio
• Market understanding
• Proven ability to work in a structured manner, with exceptional interpersonal and teamwork skills
• Exceptional Written and Spoken English

If you are a motivated and experienced professional looking to lead a team and drive innovation in the automotive and mobility industry, we encourage you to apply.

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In this role, you will push the boundaries of container orchestration far beyond existing systems like Kubernetes, manage exascale compute resources, optimize for high-performance training runs and production serving, and collaborate closely with research and systems teams to deliver reliable, ultra-scalable infrastructure that enables xAI's next-generation models and applications.

Responsibilities include building and managing massive-scale clusters, designing, developing, and extending an in-house container orchestration platform, collaborating with research teams to architect and optimize compute clusters, profiling, debugging, and resolving complex system-level performance bottlenecks, and owning end-to-end infrastructure initiatives.

To succeed in this role, you will need deep expertise in virtualization technologies and advanced containerization/sandboxing, strong proficiency in systems programming languages such as C/C++ and Rust, and proven track record profiling, debugging, and optimizing complex system-level performance issues.

Preferred skills and experience include experience in Linux kernel development, hypervisor extensions, or low-level system programming for compute-intensive workloads, operating or designing large-scale AI training/inference clusters, and familiarity with performance tools, tracing, and debugging in production distributed environments.

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Your expertise in low-level system programming, kernel optimization, and virtualization technologies will be crucial in ensuring Anthropic can scale our compute infrastructure efficiently and reliably for training and serving frontier AI models.

Responsibilities:

Optimize our virtualization stack, improving performance, reliability, and efficiency of our VM environments

Design and implement kernel modules, drivers, and system-level components to enhance our compute infrastructure

Investigate and resolve performance bottlenecks in virtualized environments

Collaborate with cloud engineering teams to optimize interactions between our workloads and underlying hardware

Develop tooling for monitoring and improving virtualization performance

Work with our ML engineers to understand their computational needs and optimize our systems accordingly

Contribute to the design and implementation of our next-generation compute infrastructure

Share knowledge with team members on low-level systems programming and Linux kernel internals

Partner with cloud providers to influence hardware and platform features for AI workloads

You may be a good fit if you:

Have experience with Linux kernel development, system programming, or related low-level software engineering

Understand virtualization technologies (KVM, Xen, QEMU, etc.) and their performance characteristics

Have experience optimizing system performance for compute-intensive workloads

Are familiar with modern CPU architectures and memory systems

Have strong C/C++ programming skills and ideally experience with systems languages like Rust

Understand Linux resource management, scheduling, and memory management

Have experience profiling and debugging system-level performance issues

Are comfortable diving into unfamiliar codebases and technical domains

Are results-oriented, with a bias towards practical solutions and measurable impact

Care about the societal impacts of AI and are passionate about building safe, reliable systems

Strong candidates may also have experience with:

GPU virtualization and acceleration technologies

Cloud infrastructure at scale (AWS, GCP)

Container technologies and their underlying implementation (Docker, containerd, runc, OCI)

eBPF programming and kernel tracing tools

OS-level security hardening and isolation techniques

Developing custom scheduling algorithms for specialized workloads

Performance optimization for ML/AI specific workloads

Network stack optimization and high-performance networking

Experience with TPUs, custom ASICs, or other ML accelerators

Representative projects:

Optimizing kernel parameters and VM configurations to reduce inference latency for large language models

Implementing custom memory management schemes for large-scale distributed training

Developing specialized I/O schedulers to prioritize ML workloads

Creating lightweight virtualization solutions tailored for AI inference

Building monitoring and instrumentation tools to identify system-level bottlenecks

Enhancing communication between VMs for distributed training workloads

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Key responsibilities include:

• Developing and maintaining the network services infrastructure for our GPU cloud services
• Collaborating with cross-functional teams to ensure seamless integration of network datapath solutions
• Optimizing host network performance, latency, and throughput to meet the demanding requirements of GPU-based workloads
• Implementing and maintaining network security protocols and best practices to protect customer data and infrastructure
• Participating in an on-call rotation, troubleshooting and resolving network-related issues, and providing timely support to the operations team

To succeed in this role, you will need to have a strong background in network protocols, routing, and security, as well as proficiency in programming languages such as Golang, Python, or C++. Experience with software-defined networking (SDN) and network virtualization technologies is also highly desirable.

In addition to your technical skills, you will need to have excellent problem-solving skills and a proactive attitude towards troubleshooting and issue resolution. Strong communication skills and the ability to collaborate effectively with cross-functional teams are also essential.

As a member of our team, you will have the opportunity to work on cutting-edge projects and contribute to the development of our network services infrastructure. You will also have access to a comprehensive benefits package, including medical, dental, and vision insurance, as well as a competitive salary and discretionary bonus.

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As a kernel generalist, you will be responsible for debugging kernel-level issues, analysing and fixing crashes, panics, dumps, and upstreaming fixes and features that improve the performance and reliability of our stack.

This position is ideal for someone who thrives in low-level systems engineering, and understands how modern workloads stress kernels, and is excited to work across a diverse hardware/software ecosystem including CPUs, GPUs, DPUs, networking, and storage.

Kernel Hardware - Acceleration - Virtualization - Operating Systems - Containerization - Kubelet

Our Team's Stack:

• Python, Go, bash/sh, C

• Prometheus, Victoria Metrics, Grafana

• Linux Kernel (custom build), Ubuntu

• Intel/AMD/ARM CPUs, Nvidia GPUs, DPUs, Infiniband and Ethernet NICs

• Docker, kubernetes (k8s), KubeVirt, containerd, kubelet

Focus Areas:

• Kernel Debugging – Analyse kernel crashes, oopses, panics, and dumps to identify root causes and propose fixes.

• Upstream Contributions – Develop patches for the Linux kernel and upstream them where applicable (networking, storage, virtualization, GPU/DPU enablement).

• Stack-Wide Support – Ensure kernel support and stability across:

• Virtualization (KubeVirt, QEMU, vFIO)

• Container runtimes (containerd, nydus, kubelet)

• HPC/AI workloads (CUDA, GPUDirect, RoCE/InfiniBand)

• Kernel-Hardware Enablement – Support new hardware bring-up across Intel, AMD, ARM CPUs, NVIDIA GPUs, DPUs, and NICs.

• Performance & Stability – Tune kernel subsystems for latency, throughput, and scalability in distributed HPC/AI clusters.

About the role:

• Triage and fix kernel crashes and performance regressions.

• Develop, test, and upstream kernel patches relevant to CoreWeave’s hardware/software environment.

• Collaborate with hardware vendors and the Linux community on feature enablement.

• Implement diagnostics and tooling for kernel-level observability.

• Work closely with HPC and Fleet teams to ensure kernel readiness for production workloads.

• Provide kernel-level expertise during incident response and root-cause investigations.

Who You Are:

• 5+ years of professional experience in Linux kernel engineering or systems-level development.

• Deep understanding of kernel internals (memory management, scheduling, networking, storage, drivers).

• Experience debugging kernel crashes, dumps, and panics using tools like crash, gdb, kdump.

• Strong C programming skills with the ability to write maintainable and upstream-quality code.

• Experience working with kernel modules, drivers, and subsystems.

• Strong problem-solving abilities with a “full-stack” systems perspective.

Preferred:

• Contributions to the Linux kernel or related open-source projects.

• Familiarity with virtualization (KVM, QEMU, VFIO) and container runtimes.

• Networking stack expertise (InfiniBand, RoCE, TCP/IP performance tuning).

• GPU/DPU bring-up and driver experience.

• Experience in HPC or large-scale distributed systems.

• Familiarity with QA/QE best practices

• Experience working in Cloud environments

• Experience as a software engineer writing large-scale applications

• Experience with machine learning is a huge bonus

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

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As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

Responsibilities

• Define, establish, and lead the infrastructure integration engineering practice, setting the technical vision and strategy for integrating new entities and technologies.
• Single-threaded ownership of all infrastructure component(s) of acquisition integration from discovery and due diligence through migration execution and hypercare.
• Conduct comprehensive technical assessments of target companies' infrastructure, systems, and operational capabilities, identifying risks and opportunities.
• Develop and present high-level architectural strategies and detailed roadmaps for integrations to executive leadership, founders, and technical teams.
• Design and implement robust, scalable, and secure system architectures for integrated environments, ensuring alignment with Anduril's overall technology strategy.
• Develop and execute detailed migration plans, managing complex technical challenges and dependencies.
• Provide post-migration hypercare support, ensuring a smooth transition and stabilization of integrated systems.
• Define, document, and continuously improve repeatable processes to accelerate acquisition integration, establishing benchmarks, conducting post-mortems, and implementing lessons learned.
• Identify, evaluate, and implement or scope the development of new tools and technologies to enhance discovery, migration, and testing efficiency.
• Collaborate closely with Security teams to ensure all integrated systems meet Anduril's stringent security requirements and policies.
• Partner with Client Engineering teams to ensure seamless integration of acquired client and client-facing technologies and services.
• Provide clear, concise, and opinionated technical guidance, and proactively push back on misaligned proposals to ensure successful technical outcomes.
• Act as a technical authority, mentor, and trusted advisor to engineering teams involved in integration efforts.

Requirements

• Minimum of 12 years of progressive experience in Systems Engineering, Network Engineering, and/or IT Infrastructure roles with a focus on complex, enterprise-scale environments.
• Self-sufficient ability to execute in (technical and non-technical) program management, architecture, and hands-on engineering capacities.
• Demonstrated expertise in defining and building engineering practices and repeatable processes.
• Proven ability to operate across the entire engineering lifecycle, from strategic discovery and architecture to hands-on execution and hypercare.
• Exceptional ability to communicate complex technical concepts to diverse audiences, including C-suite executives, founders, and engineering teams.
• Deep understanding of modern cloud architectures (AWS, Azure, GCP), hybrid cloud solutions, and on-premises infrastructure.
• Extensive experience with enterprise networking technologies, including routing, switching, firewalls, VPNs, and load balancing.
• Strong knowledge of server virtualization, containerization technologies (e.g., Docker, Kubernetes), and operating systems (Linux, Windows).
• Experience with identity and access management (IAM) solutions, single sign-on (SSO), and multi-factor authentication (MFA).
• Proficiency in scripting and automation for infrastructure deployment and management (e.g., Python, Ansible, Terraform).
• Strong understanding of security principles, best practices, and common vulnerabilities within systems and networks.
• Familiarity with client engineering principles and technologies.
• Proven experience in identifying tooling gaps and either developing solutions or effectively scoping them for development.
• Excellent analytical, problem-solving, and critical thinking skills.
• Ability to travel for remote deployments and assessments as required.

Preferred Qualifications

• Experience with infrastructure-as-code (IaC) principles and tools.
• Familiarity with CI/CD pipelines and DevOps methodologies.
• Experience with data center design and operations.
• Experience in the defense technology or highly regulated industries.

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The successful candidate will oversee AV infrastructure across the organization, including hardware in conference rooms, All-Hands spaces, and training rooms. They will keep systems updated with the latest operating systems, software, and applications to ensure availability during business hours.

Key responsibilities include providing specialized support for a variety of AV events, from podcasts to large-scale conferences, designing and installing AV systems utilizing a standard design concept across a variety of work spaces, and assisting in the coordination and implementation of new office, production floors, warehouses and other spaces requiring AV installations.

The ideal candidate will have a bachelor's degree in computer science or a related field, or equivalent experience, and demonstrated expertise in AV system administration. They will also have familiarity with AV software and conferencing tools, knowledge of AV equipment, experience with virtualization technologies, strong analytical and problem-solving abilities, and outstanding communication skills.

In addition to a competitive salary, we offer a range of benefits, including comprehensive medical, dental, and vision plans, income protection, generous time off, family planning and parenting support, mental health resources, professional development opportunities, and commuter benefits.

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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.

Available Location:

Austin

About the Department

Cloudflare’s engineering teams build and maintain the systems and products that power our global platform. A global platform which is within approximately 50 milliseconds of about 95% of the Internet connected population, serving on average, over 46 million HTTP requests per second.

About the Team

Cloudflare engineering delivers multiple products and features to production at a tremendous pace, and depends on real time load balancing and long term capacity planning to do so with high performance and efficiency. The MAPS team is responsible for highly granular and large-scale resource usage instrumentation and measurement of Cloudflare's edge platform. The team builds and runs data pipelines, as well as systems and libraries for measuring and collecting the data, and collaborates closely across the range of teams that build and run services on Cloudflare's global edge network to ensure consistent, complete, and correct attribution of all resource usage.

What are we looking for?

We are looking for highly motivated software engineers to join our MAPS team. You’ll have a strong programming background with a deep understanding and experience developing and maintaining distributed systems. You’ll need to be able to communicate effectively with engineers across the company to understand the behaviours of our systems and products in order to deliver tooling to meet their testing needs. You will also work closely with product managers to support our public facing synthetic testing and load testing products for enterprise customers.

Requirements

• Experience as a software engineer or similar role working on latency and efficiency sensitive server infrastructure.
• Experience working with large-scale data pipelines and processing, including use of distributed column-oriented data storage and processing such as ClickHouse, BigQuery/Dremel, etc.
• Strong knowledge of TCP/IP networking fundamentals and routing basics
• Successful track record of collaborating with many teams concurrently to achieve goals that require alignment across a range of teams and orgs.
• Track record of owning problems, goals, and outcomes - not (just) specific pieces of software.
• Track record of building long-term sustainable, maintainable systems.
• Ability to dive deep into technical specifics of systems and codebases, while always keeping the big picture in mind.
• Experience with one or more of the following programming languages: Go, Rust, C

Bonuses

• Strong understanding of Linux kernel internals, especially any of: networking, scheduling, resource isolation, virtualization
• Experience troubleshooting and resolving performance issues in large-scale distributed systems.
• Experience with large scale configuration/deployment management.

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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You will work on fundamental research in reinforcement learning, creating 'agentic' models via tool use for open-ended tasks such as computer use and autonomous software generation, improving reasoning abilities in areas such as mathematics, and developing prototypes for internal use, productivity, and evaluation.

Key responsibilities include:

• Architect and optimize core reinforcement learning infrastructure, from clean training abstractions to distributed experiment management across GPU clusters.
• Design, implement, and test novel training environments, evaluations, and methodologies for reinforcement learning agents which push the state of the art for the next generation of models.
• Drive performance improvements across our stack through profiling, optimization, and benchmarking. Implement efficient caching solutions and debug distributed systems to accelerate both training and evaluation workflows.
• Collaborate across research and engineering teams to develop automated testing frameworks, design clean APIs, and build scalable infrastructure that accelerates AI research.

You may be a good fit if you:

• Are proficient in Python and async/concurrent programming with frameworks like Trio.
• Have experience with machine learning frameworks (PyTorch, TensorFlow, JAX).
• Have industry experience in machine learning research.
• Can balance research exploration with engineering implementation.
• Enjoy pair programming (we love to pair!).
• Care about code quality, testing, and performance.
• Have strong systems design and communication skills.
• Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems.

Strong candidates may have:

• Familiarity with LLM architectures and training methodologies.
• Experience with reinforcement learning techniques and environments.
• Experience with virtualization and sandboxed code execution environments.
• Experience with Kubernetes.
• Experience with distributed systems or high-performance computing.
• Experience with Rust and/or C++.

Strong candidates need not have:

• Formal certifications or education credentials.
• Academic research experience or publication history.

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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.

Cloudflare protects and accelerates 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.

About the Department

Cloudflare's Network Engineering Team builds and runs the infrastructure that runs our software. The Engineering Team is split into two groups: one handles product development and the other handles operations. Product development covers both new features and functionality and scaling our existing software to meet the challenges of a massively growing customer base. The operations team handles one of the world's largest networks with data centers in 190 cities worldwide and a couple of large specialized data centers for internal needs.

About the role

Cloudflare operates a large global network spanning hundreds of cities (data centers). You will join a team of talented network automation engineers who are building software solutions to improve network resilience and reduce engineering operational toil. You will work on a range of tools, infrastructure and services - new and existing - with an aim to elegantly and efficiently solve problems and deliver practical, maintainable and scalable solutions.

Responsibilities

• Join a team of talented network automation engineers who are building software solutions to improve network resilience and reduce engineering operational toil.
• Work on a range of tools, infrastructure and services - new and existing - with an aim to elegantly and efficiently solve problems and deliver practical, maintainable and scalable solutions.

Requirements

• BA/BS in Computer Science or equivalent experience
• 5+ years of proven experience in developing software components for network automation.
• Strong understanding of software development principles, design patterns, and various programming languages (like python and golang)
• Highly Proficient with modern Unix/Linux operating systems/distributions
• Experience in MySQL, Postgres, Clickhouse (or equivalent SQL language)
• Experience with CI/CD, containers and/or virtualization
• Experience with Observability systems like prometheus, grafana (or equivalents)

Bonus Points

• Knowledge of Networking engineering, with competencies in Layer 2 and Layer 3 protocols and vendor equipment: Cisco, Juniper, etc.
• Experience building and maintaining large distributed systems
• Experience managing internal and/or external customer requirements and expectations

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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You will work on fundamental research in reinforcement learning, creating 'agentic' models via tool use for open-ended tasks such as computer use and autonomous software generation, improving reasoning abilities in areas such as mathematics, and developing prototypes for internal use, productivity, and evaluation.

Some representative projects include:

• Architect and optimize core reinforcement learning infrastructure, from clean training abstractions to distributed experiment management across GPU clusters.
• Design, implement, and test novel training environments, evaluations, and methodologies for reinforcement learning agents which push the state of the art for the next generation of models.
• Drive performance improvements across our stack through profiling, optimization, and benchmarking.
• Collaborate across research and engineering teams to develop automated testing frameworks, design clean APIs, and build scalable infrastructure that accelerates AI research.

You may be a good fit if you:

• Are proficient in Python and async/concurrent programming with frameworks like Trio.
• Have experience with machine learning frameworks (PyTorch, TensorFlow, JAX).
• Have industry experience in machine learning research.
• Can balance research exploration with engineering implementation.
• Enjoy pair programming (we love to pair!).
• Care about code quality, testing, and performance.
• Have strong systems design and communication skills.
• Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems.

Strong candidates may have:

• Familiarity with LLM architectures and training methodologies.
• Experience with reinforcement learning techniques and environments.
• Experience with virtualization and sandboxed code execution environments.
• Experience with Kubernetes.
• Experience with distributed systems or high-performance computing.
• Experience with Rust and/or C++.

Strong candidates need not have:

• Formal certifications or education credentials.
• Academic research experience or publication history.

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Responsibilities:

• Build and manage massive-scale clusters to host, persist, train, and serve AI workloads with extreme reliability and performance.
• Design, develop, and extend an in-house container orchestration platform that achieves superior scalability, isolation, resource efficiency, and fault-tolerance compared to off-the-shelf solutions.
• Collaborate with research teams to architect and optimize compute clusters specifically for large-scale training runs, inference services, and real-time applications.
• Profile, debug, and resolve complex system-level performance bottlenecks, resource contention, scheduling issues, and reliability problems across the full stack.
• Own end-to-end infrastructure initiatives with first-principles design, rigorous testing, automation, and continuous optimization to support frontier AI compute demands.

Basic Qualifications:

• Deep expertise in virtualization technologies (KVM, Xen, QEMU) and advanced containerization/sandboxing (Kata, Firecracker, gVisor, Sysbox, or equivalent).
• Strong proficiency in systems programming languages such as C/C++ and Rust.
• Proven track record profiling, debugging, and optimizing complex system-level performance issues, with deep knowledge of Linux kernel internals, resource management, scheduling, memory management, and low-level engineering.
• Hands-on experience building or significantly enhancing distributed compute platforms, orchestration systems, or high-performance infrastructure at scale.

Preferred Skills and Experience:

• Experience in Linux kernel development, hypervisor extensions, or low-level system programming for compute-intensive workloads.
• Proven track record operating or designing large-scale AI training/inference clusters (GPU/TPU scale).
• Experience with custom runtimes, isolation techniques, or bespoke platforms for specialized AI compute.
• Familiarity with performance tools, tracing, and debugging in production distributed environments.

Compensation and Benefits:

$180,000 - $440,000 USD

Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

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This role focuses on building, deploying, and managing internal Windows and Linux infrastructure while collaborating with other teams to develop scalable solutions.

Responsibilities:

• Building, managing, and supporting complex application stacks on Windows and Linux Servers.
• Providing Windows and Linux troubleshooting and technical support.
• Deploy, configure and support VMware technologies, including vCenter, ESX and Horizon.
• Use Puppet Enterprise to automate and manage configurations.
• Working with other engineering teams and third-party vendors to implement scalable solutions.
• Ensuring compliance by collaborating with internal audit and compliance teams.
• Developing and maintaining standard operating procedures.
• Participating in a 24/7 on-call support rotation.
• Managing and monitoring all installed Windows and Linux systems and infrastructure.
• Installing, configuring, testing, and maintaining operating systems and system management tools.
• Proactively ensuring high levels of system availability and reliability.
• Monitoring and optimizing application performance, identifying bottlenecks, and collaborating with developers to implement solutions.
• Writing and maintaining custom scripts to improve system efficiency and automation.

Required Qualifications:

• Deep understanding of infrastructure management and automation
• 3 to 5 years of experience in the following:
• Systems Engineering for Corporate Infrastructure.
• Managing large-scale Windows and Linux server environments.
• Virtualization at scale.
• Configuration Management.
• Managing scalable storage solutions, preferably NetApp.
• Developing and maintaining performance metrics for systems.
• Strong understanding of Puppet Enterprise and Puppet Open Source.
• Strong understanding of basic networking concepts.
• Proficient with using Puppet to automate and manage configurations.
• Ability to translate business needs into technical solutions.
• Outstanding analytical and problem-solving skills.
• Strong written and verbal communication skills.
• Experience writing technical design documents and maintaining documentation.
• Familiarity with working in a source-controlled environment.
• Proficiency in scripting languages such as Bash, Python, or Perl.
• Experience with VMware services, including VMware data center virtualization and VMware Horizon.

Basic Qualifications:

• Familiarity with DevOps practices and CI/CD tools.
• Knowledge of orchestration tools.

Compensation and Benefits:

$162,000 - $226,000

Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

ITAR Requirements:

To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.

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As part of the Cloud and Infrastructure team within Enterprise Operations, you will play a key role in ensuring the performance, scalability, and reliability of these systems to support various business units. This position may involve occasional travel to Shield AI locations.

Responsibilities:

Engineering:

• Manage and optimize multi-cloud infrastructure (Azure, AWS) for performance, reliability, and scalability.
• Support and optimize cloud and virtual machine environments, assisting with capacity planning, performance monitoring, security compliance, and vulnerability remediation.
• Assist in implementing and maintaining infrastructure systems, including servers, storage, backup solutions, and disaster recovery processes, for both public and private clouds.
• Continuously learn and adapt to emerging technologies and platforms, leveraging automation wherever possible.
• Author and produce the necessary documentation for engineered and maintained systems along with associated processes that supporting teams can leverage.
• Assist in researching, recommending, and developing innovative solutions for complex requirements and issue resolution.
• Collaborate cross-functionally with AI, DevOps, and Security teams to ensure compliance, observability, and resilience in mission-critical environments.
• Participate in Agile methodologies and sound engineering principles.

Operations and Support:

• Perform daily system monitoring, verifying the integrity and availability of all server resources, systems and key processes, reviewing system and application logs.
• Support system maintenance and upgrades, including OS patching, software configuration, hardware updates, and performance tuning to ensure optimal cloud infrastructure performance.
• Provide escalated support for operational issues possibly during and after normal business hours for systems, workloads, and Kubernetes AI infrastructure.
• Analyze, troubleshoot and resolve system infrastructure and software issues.
• Ability to participate in on-call, emergency, or maintenance roles

Requirements:

• Bachelor’s degree in Computer Science or related field, or equivalent experience (4+ years) plus an engineer level certification, Azure/AWS Associate, or another similar level certification.
• 4 years’ experience supporting applications and systems in a production environment in high-availability, mission-critical, or defense-grade environments preferred.
• Comfortable with operational efficiencies utilizing Infrastructure as Code (IaC) solutions (e.g., Terraform, Ansible).
• Strong understanding of networking concepts (VPCs, VPNs, subnets, routing, firewalls).
• Experience in automating repetitive tasks using scripting languages such as PowerShell, Python, or Bash.
• Experience with deployment and systems administration of at least one type of Linux distribution (i.e. RHEL, Ubuntu)
• Experience with concepts of Microsoft Windows Server administration, Azure and Active Directory environments
• Possesses organizational skills, with a process-oriented mindset, attention to detail, and effective verbal and written communication abilities.
• Ability to work independently to accomplish assigned tasks.
• Solution-oriented, constructive approach to problem-solving.

Preferred Qualifications:

• Experience deploying and maintaining workloads in Azure public cloud environments.
• Hands-on experience with containerization and Kubernetes-based workloads.
• Strong understanding of virtualization and private cloud platforms (e.g., VMware, Hyper-V, KVM).
• Background in DevOps, Site Reliability Engineering (SRE), or cloud infrastructure roles.
• Proficiency with configuration management and automation tools (e.g., Ansible, Chef, Puppet, Terraform).
• Experience building and optimizing CI/CD pipelines.

Salary and Benefits:

• $110,000 - $170,000 a year
• Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity
• Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment)

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This is a senior individual contributor role responsible for end-to-end infrastructure ownership , spanning on-premises systems, cloud platforms, endpoint environments, identity services, and local engineering support.

The Staff Systems Administrator operates with significant independence, defining priorities, executing improvements, and ensuring operational resilience with minimal oversight.

This role requires a self-starter who can design, implement, support, and continuously improve infrastructure in a secure, performance-driven environment while also maintaining hands-on ownership of end-user systems and service delivery.

You will function as the accountable infrastructure lead for your environment, ensuring it remains secure, compliant, scalable, and highly available , while continuing to deliver responsive support to engineering and business teams.

Infrastructure Ownership (On-Prem & Cloud):

• Own and operate on-premises and cloud infrastructure, including servers, virtualization, storage, identity platforms, and core enterprise services.

• Administer Azure/AWS environments, ensuring availability, performance, monitoring, backup, and disaster recovery readiness.

• Maintain secure system configurations, patching, vulnerability remediation, and infrastructure hardening.

• Operate effectively within a controlled, security-sensitive environment with segmented systems and defined access boundaries.

• Identify risks and independently drive modernization, scalability, and resilience improvements.

Identity, Security & Operational Excellence:

• Administer Active Directory and Entra ID (Azure AD), enforcing role-based access and secure configuration standards.

• Ensure compliance with internal controls, documentation requirements, and audit readiness expectations.

• Own IT asset lifecycle management, vendor coordination, licensing oversight, and operational reporting.

• Contribute infrastructure patterns and operational standards that can scale across similar environments.

End-User & Engineering Support:

• Provide hands-on support across Windows, macOS, and Linux endpoints, including advanced troubleshooting and escalation management.

• Lead onboarding and offboarding processes, including device provisioning, access configuration, and endpoint compliance validation.

• Support engineering systems, lab environments, and secure connectivity needs.

• Remove operational IT friction so engineers and business teams remain focused on mission delivery.

Required qualifications:

• 12+ years of experience in systems administration, enterprise IT operations, or infrastructure engineering.

• Demonstrated experience independently owning and operating IT infrastructure in complex environments.

• Strong hands-on expertise across:

• Windows, macOS, and Linux systems

• Server administration and virtualization

• Cloud platforms (Azure and/or AWS)

• Identity platforms (Active Directory, Azure AD / Entra ID)

• Experience managing infrastructure in segmented, regulated, or security-sensitive environments.

• Strong networking fundamentals (TCP/IP, DNS, DHCP, VPN, firewall concepts).

• Experience with endpoint management platforms (Intune, Jamf, or equivalent).

• Experience implementing backup, disaster recovery, and monitoring solutions.

• Strong documentation discipline and operational rigor.

• Proven ability to work with minimal supervision and drive outcomes independently.

Preferred qualifications:

• Experience supporting engineering, R&D, or defense-oriented teams.

• Experience operating in startup or high-growth environments.

• Familiarity with DevOps tooling (Azure DevOps, GitHub, CI/CD environments).

• Scripting or automation experience (PowerShell, Bash, Python).

• Experience supporting air-gapped or isolated infrastructure environments.

• ITIL knowledge or certifications.

• Relevant industry certifications (Microsoft, AWS, VMware, CompTIA, etc.).

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As a key member of the support team, you will be responsible for handling escalated technical issues from on-premise enterprise clients, reproducing complex problems, and collaborating with engineering, data, and product teams to ensure swift resolution. You will report directly to the Head of Support, and play a critical role in maintaining customer satisfaction and improving our support operations.

Key Responsibilities:

• Frontline Investigation: Handle escalated tickets from enterprise clients via Intercom, focusing on on-premise infrastructure and AI-related issues (e.g., deployment, performance, integration, security).
• Root Cause Analysis: Ask the right questions to gather context, reproduce issues in test environments, and diagnose technical problems (systems, networks, storage, GPU clusters, AI models).
• Cross-Team Collaboration: Work closely with engineering, and deployment teams to escalate, track, and resolve incidents efficiently.
• Proactive Communication: Provide clear, empathetic, and timely updates to clients and internal stakeholders, ensuring transparency throughout the resolution process.

Knowledge Sharing & Process Improvement:

• Documentation: Create and update technical FAQs, troubleshooting guides, and internal knowledge base articles to empower self-serve/L1 team and reduce recurrence of issues.
• Feedback Loop: Identify recurring pain points in on-premise deployments and suggest improvements to product, documentation, or support workflows.

Customer-Centric Approach:

• Empathy & Ownership: Maintain a customer-first mindset, ensuring clients feel heard and supported, even in high-pressure situations.
• Solution-Oriented: Proactively propose workarounds, fixes, or process optimizations to enhance the customer experience and reduce incident resolution time.

Technical Expertise:

• On-Premise & Cloud Environments: Deep understanding of Linux/Windows servers, networking, virtualization, storage, security (firewalls, RGPD compliance), and cloud providers (AWS, GCP, Azure).
• Kubernetes/Helm: Experience with deployment, scaling, and troubleshooting of applications in Kubernetes clusters using Helm charts.
• Terraform: Familiarity with Infrastructure as Code (IaC) for managing cloud resources is a strong plus.
• AI Infrastructure: Knowledge of AI/ML pipelines, LLM/RAG deployments, GPU acceleration, and data storage solutions for enterprise clients.
• Tooling: Proficiency in Intercom, monitoring tools, scripting (Bash/Python), and diagnostic utilities (logs, performance metrics).

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In this role, you'll have the opportunity to learn and grow with our company as we expand our infrastructure, both on-prem and in-cloud. You'll be responsible for driving development work for physical systems, network devices, and virtual machines, as well as implementing corporate security policies into all systems.

The ideal candidate will have a thirst for knowledge, a desire to learn and grow, and experience configuring, operating, and maintaining virtualization hosts, DDI systems, network and security infrastructure, backup and disaster recovery systems, and wireless networking.

Responsibilities:

• Drive development work for physical systems, network devices, and virtual machines
• Implement corporate security policies into all systems
• Drive updates and patching
• Handle tier-two escalations, write runbooks, and do knowledge transfer to systems engineers on the team

Requirements:

• Thirst for knowledge / desire to learn and grow
• Ability to effectively debug hard problems on a range of systems types
• Infrastructure Systems Experience: experience configuring, operating, and maintaining virtualization hosts, DDI systems, network and security infrastructure, backup and disaster recovery systems, and wireless networking

Nice-to-haves:

• Scripting: Practical scripting and automation experience, including git, Bash, Python, Ansible, Terraform, Kubernetes, REST APIs, etc.
• Comfort working with AI tools / processes and effective prompting
• Cloud: Experience provisioning and using resources in AWS (or other clouds)
• File servers and NAS (disk and flash-based) - basic knowledge and understanding of storage is required but specific / detailed knowledge of a specific system or format is not required
• iSCSI knowledge
• Access and identity systems (SSO, LDAP, VPN, …)

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You are a highly motivated Site Reliability, Staff Engineer with a passion for Linux platforms and a commitment to operational excellence. You thrive in dynamic, multi-faceted environments and are energized by the challenge of deploying, maintaining, and optimizing complex systems. Your curiosity drives you to continually learn and adapt, while your technical expertise enables you to solve intricate problems efficiently.

Administering and managing Linux operating systems, including kernel components, memory management, process scheduling, and system performance optimization. Performing routine and advanced system administration tasks such as monitoring, tuning, and troubleshooting across bare-metal and virtualized nodes. Deploying, configuring, and managing Linux-based operating systems using Kickstart and Ansible for automation and environment standardization. Implementing and managing MAAS (Metal as a Service) for large-scale bare-metal provisioning and lifecycle operations. Operating and maintaining OpenStack environments for On Demand Computing and cloud infrastructure. Providing support for virtualization technologies (VMware, KVM, etc.), including troubleshooting and maintenance. Delivering basic Linux networking support, resolving connectivity, routing, firewall, NIC bonding, VLAN, and interface configuration issues. Collaborating with cross-functional teams to enhance infrastructure reliability, scalability, and security. Creating and maintaining detailed documentation, including configurations, SOPs, troubleshooting guides, and operational runbooks.

Ensuring the reliability and uptime of critical Linux environments that underpin Synopsys' engineering and development operations. Enabling rapid deployment and scalability of infrastructure through automation and standardized processes. Reducing downtime and improving system performance by proactively identifying and resolving technical issues. Enhancing security and compliance across platforms through robust configuration and monitoring practices. Accelerating innovation by providing stable, high-performance environments for development and testing teams. Fostering a collaborative culture by sharing expertise, mentoring peers, and contributing to knowledge repositories.

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As a Customer Support Engineer at Electronic Arts, you will work directly with Game Developer teams to resolve technical challenges and improve product quality. You will have experience of minimum 3 years working with customers and empathy for the customer experience.

Responsibilities

• Work directly with Game Developer teams to help them solve technical challenges
• Resolve issues involving project implementation, code error diagnosis, debugging, validation, and root cause analysis for the products/platforms assigned
• Build internal relationships with our development and product management teams to help us communicate the priorities of our customers
• Improve product quality by injecting fresh ideas and bringing innovations to existing products or platforms, building automation
• Develop additional software components for tasks associated with the projects/platforms, designing and debugging software applications
• Participate in projects that improve overall product and documentation quality
• Participate in product/platform testing and updates
• Achieve knowledge transfer through the delivery of training, knowledge sessions, mentoring
• Help increase the team efficiency by sharing knowledge, providing feedback about best practices, writing tools/utilities using AI stack
• Develop your technology skills and become a versatile IT professional
• Participate in schedule rotations and working shifts

Qualifications

• Experience of minimum 3 years working with customers
• Empathy for the customer experience
• Balance varying levels of priority and urgency
• Understand complex technical issues and manage to express them in simple and concise language
• Familiarity with database concepts (e.g. SQL Server, MongoDB)
• Experience around the following technology concepts - virtualization, operating systems and server administration (Linux, Windows), cloud infrastructure and services(AWS, Azure), networking (IP, routing, firewall, ACL's), coding/scripting (Python, Bash, Powershell), application and API endpoints, monitoring and observability tools (Grafana, Kibana)
• Qualification in Computer Engineering or relevant experience needed

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As a key member of the support team, you will be responsible for handling escalated technical issues from on-premise enterprise clients, reproducing complex problems, and collaborating with engineering, data, and product teams to ensure swift resolution. You will report directly to the Head of Support, and play a critical role in maintaining customer satisfaction and improving our support operations.

This is a unique opportunity to work at the intersection of AI infrastructure, customer success, and technical problem-solving.

Key Responsibilities:

Technical Support & Incident Management

• Frontline Investigation: Handle escalated tickets from enterprise clients via Intercom, focusing on on-premise infrastructure and AI-related issues (e.g., deployment, performance, integration, security).

• Root Cause Analysis: Ask the right questions to gather context, reproduce issues in test environments, and diagnose technical problems (systems, networks, storage, GPU clusters, AI models).

• Cross-Team Collaboration: Work closely with engineering, and deployment teams to escalate, track, and resolve incidents efficiently.

• Proactive Communication: Provide clear, empathetic, and timely updates to clients and internal stakeholders, ensuring transparency throughout the resolution process.

Knowledge Sharing & Process Improvement

• Documentation: Create and update technical FAQs, troubleshooting guides, and internal knowledge base articles to empower self-serve/L1 team and reduce recurrence of issues.

• Feedback Loop: Identify recurring pain points in on-premise deployments and suggest improvements to product, documentation, or support workflows.

Customer-Centric Approach

• Empathy & Ownership: Maintain a customer-first mindset, ensuring clients feel heard and supported, even in high-pressure situations.

• Solution-Oriented: Proactively propose workarounds, fixes, or process optimizations to enhance the customer experience and reduce incident resolution time.

Technical Expertise

• On-Premise & Cloud Environments: Deep understanding of Linux/Windows servers, networking, virtualization, storage, security (firewalls, RGPD compliance), and cloud providers (AWS, GCP, Azure).

• Kubernetes/Helm: Experience with deployment, scaling, and troubleshooting of applications in Kubernetes clusters using Helm charts.

• Terraform: Familiarity with Infrastructure as Code (IaC) for managing cloud resources is a strong plus.

• AI Infrastructure: Knowledge of AI/ML pipelines, LLM/RAG deployments, GPU acceleration, and data storage solutions for enterprise clients.

• Tooling: Proficiency in Intercom, monitoring tools, scripting (Bash/Python), and diagnostic utilities (logs, performance metrics).

Who you are:

Required Experience: 3+ years in technical support, systems administration, or DevOps, with a focus on on-premise or hybrid infrastructures.

Technical Skills:

• Hands-on experience with troubleshooting complex technical issues in enterprise environments.

• Knowledge of AI/ML workflows, data pipelines, or high-performance computing (a strong plus).

• Familiarity with ticketing systems (Intercom), RGPD compliance, and security best practices.

Soft Skills:

• Exceptional problem-solving and analytical skills.

• Strong written and verbal communication in French and English (additional languages are a bonus).

• Ability to explain technical concepts clearly to non-technical stakeholders.

Mindset:

• Customer-obsessed, with a passion for delivering high-quality support.

• Collaborative, able to work effectively in a distributed, fast-paced team.

• Curious and adaptable, with a willingness to learn and master new technologies.

Why Join Mistral AI?

• Impact: Directly contribute to the success of enterprise AI deployments and shape the future of on-premise support.

• Growth: Opportunities for career advancement in support leadership, technical specialization, or customer success.

• Innovation: Work with cutting-edge AI technology in a dynamic, mission-driven company.

• Team: Join a passionate, diverse, and low-ego team that values collaboration and continuous learning.

• Work Environment: Hybrid flexibility (Paris office) with a focus on work-life balance and professional development.

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You will work closely with our global infrastructure and support team to manage SaaS applications with a Modern Workplace focus (e.g. Azure AD/Entra ID, Intune Mobile Device Management, and Office 365). You will be self-motivated, eager to learn and develop new skills, and possess excellent communication skills.

Key responsibilities include:

• Managing IT support requests by creating, prioritizing, and escalating support tickets
• Collaborating with the UK IT team to develop processes, systems, and applications
• Creating detailed technical documentation and user documentation
• Serving as the primary contact for local IT vendors
• Monitoring local IT security implementation, compliance, and budget planning
• Planning and executing infrastructure migrations (e.g. from on-premises to SharePoint Online)

Requirements:

• Excellent German and English language skills in both written and spoken form
• Ability to communicate technical issues in both languages to non-technical users
• Experience with Office 365 (Teams, SharePoint, Exchange Online)
• Experience with Azure AD/Entra ID security
• Experience with MDM device and configuration management (preferably Microsoft Intune)
• Experience with Windows Desktop and Server
• Troubleshooting of operating system and software

Experience in at least two of the following areas is also required:

• ERP systems (e.g. SAP, Navision, Comarch, Netsuite)
• Network troubleshooting (DHCP, DNS, TCP/IP, etc.)
• Administration of Confluence & Jira
• Fundament knowledge in PowerShell for automation and administration
• SharePoint implementation, development, and management
• Windows Active Directory
• Zero-Touch Deployment (Autopilot & ABM)
• Deep understanding of Hyper-V and virtualization
• MacOS troubleshooting
• Apple MDM
• SSO/SAML configuration
• KI/Copilot integration and development
• Zero-Trust architecture

If you are a team player who can work well in a dynamic environment with a focus on collaboration and a positive attitude, we encourage you to apply. We offer a range of benefits, including flexible working hours, a healthy work-life balance, and opportunities for professional development.

We are an equal opportunities employer and welcome applications from diverse candidates. If you are interested in joining our team, please submit your application, including your salary expectations and availability for an interview.

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You are a forward-thinking and highly motivated IT professional with a passion for reliability, automation, and infrastructure excellence. You thrive in dynamic, fast-paced environments where your expertise in data center operations, engineering compute, and automation can make a tangible impact. With a strong foundation in Linux-based environments, virtualization, and network architecture, you bring both depth and breadth to IT operations, ensuring optimal performance and security.

Responsibilities

• Maintain and optimize the Taiwan data center at the Synopsys Hsinchu office, ensuring compliance with corporate IT data center and security standards.
• Manage the full server hardware lifecycle, including rack installation, provisioning, maintenance, and decommissioning.
• Support and manage engineering compute IT environments located at key customer data centers, such as TSMC and MediaTek.
• Collaborate with corporate network and InfoSec teams to maintain data center network infrastructure, including core switches, TOR, firewalls, routers, and circuits.
• Oversee the software architecture of EDA compute, focusing on Linux environments, and provide troubleshooting expertise for virtualization platforms, job schedulers, and remote access solutions.
• Design and implement automation processes to streamline regular tasks, reduce manual effort, and adopt ML/AI technologies for efficient EDA compute orchestration and secure chamber domain management.
• Proactively monitor, analyze, and optimize system performance to maximize uptime and reliability.

Impact

• Ensure the seamless operation and scalability of Synopsys' Taiwan data center, directly supporting R&D and customer-facing teams.
• Enable faster and more reliable silicon design and verification cycles for leading semiconductor companies.
• Drive continuous improvement in data center operations through automation and adoption of cutting-edge technologies.
• Safeguard mission-critical infrastructure by upholding best practices in security and compliance.
• Facilitate collaboration between internal teams and major customers, strengthening Synopsys' reputation as a trusted technology partner.
• Contribute to the global reliability and performance of Synopsys' EDA compute environment, empowering innovation at scale.

Requirements

• Proven experience in data center operations, including server hardware lifecycle management and resource provisioning.
• Strong knowledge of Linux system administration, virtualization platforms, and EDA compute architectures.
• Solid understanding of data center networking concepts, including core switches, firewalls, routers, and security protocols.
• Hands-on expertise in automation tools and scripting (such as Python, Bash, or Ansible), with a track record of process optimization.
• Experience implementing or supporting ML/AI-based solutions for IT infrastructure orchestration is a plus.

Team

You'll join a dedicated IT engineering compute team responsible for maintaining and optimizing Synopsys' Taiwan data center and engineering compute operations. The team plays a critical role in supporting Synopsys' R&D software development and providing seamless support to key customers across Taiwan, including industry leaders like TSMC and MediaTek. You'll collaborate with global IT, InfoSec, and engineering teams, driving future EDA compute expansion and innovation.

Rewards and Benefits

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

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Responsibilities

• Ensure that all escalated incidents are handled within SLA's.
• Act as expert support for Windows stack related incidents and support requests.
• Manage problem resolution with third party vendors.
• Participate in Problem management processes.
• Support company Windows infrastructure on premise and in a Cloud.
• Provide operational administration and configuration support for highly available server landscapes.
• Support MS Active Directory, design Group Policies.
• Deliver new services according to the business requirements.
• Participate in integration projects, ensuring that new existing studios are brought to the latest infrastructure standards.
• Identify opportunities for process improvement and efficiency enhancements.
• Create and maintain technical documentation on all system designs and configurations, troubleshooting procedures.
• Take the ownership of projects to set up or upgrade server infrastructure, with support from the team.

Requirements

• Bachelor's degree in a relevant technical field or equivalent experience.
• Strong understanding of Windows stack technologies, standards and trends.
• Strong technical background with 3+ years’ experience Windows stack administration.
• Very good technical knowledge of the Microsoft Stack, Active Directory and its components, Exchange, VMWare, HyperV, GPOs.
• Strong technical knowledge of Storage and Server equipment, virtualization and production setups.
• Strong technical knowledge of Cloud Infrastructure, Azure, AWS.
• Experience with scripting.
• Experience with Backup tools and solutions.
• Experience with IT infrastructure migrations.
• Strong understanding of Infrastructure change management.
• High communication and presentation skills, with the ability to articulate technical concepts to non-technical audiences.
• Strong analytical and problem-solving skills, with the ability to translate business needs into technical requirements and ability to identify and resolve complex IT infrastructure issues.
• Strong decision-making skills.
• Strong understanding of gaming industry dynamics and trends, with a passion for gaming.

Benefits

• Private Medical Care
• EAP system for supporting wellbeing of Employees
• Cafeteria System
• Leisure Zones, coffee and fruits in the office

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The role will have primary responsibility for technical decisions and guiding the company-wide AD architecture. This position will have a focus on on-premises directory services and identity management, as well as their cloud-based counterparts, such as Azure Active Directory.

Responsibilities

• Overall responsibility for the company-wide Active Directory infrastructure
• Plan and deploy Active Directory Domain Services inter-forest and intra-forest migrations
• Plan and deploy the extension of active directory to Azure domain services and future-proof the existing environment
• Plan, coordinate and execute any life cycle activities with regard to Active Directory and surrounding systems
• Plan and execute large-scale Active Directory Domain Services, Federation Services, and Certificate Services upgrades
• Assess the sizing and health of acquisition Active Directory deployments in support of consolidation efforts
• Design and deploy various identity management solutions such as Azure Active Directory Premium
• Design and implement solutions for customers based around core Microsoft technologies, such as DFS, DHCP, DNS, File and Print Services, IIS, etc.
• Keep up on emerging technologies and understand how they can add value to existing infrastructures
• Work with regional and infosec teams closely as SME for active directory

Requirements

• Strong Risk & Security awareness
• Strong verbal and written communication skills
• The ability to translate business needs into technical requirements
• Must love documentation. Creating detailed design or migration documents is a regular occurrence
• Expert-level Active Directory Domain Services experience including Azure AD
• Capable of designing and deploying AD Certificate Services and Azure domain services
• Strong scripting skills. PowerShell 3.0+ experience is very strongly preferred
• Must be able to speak about topics such as routing and switching, storage, virtualization, and server hardware as it relates to the above technologies and responsibilities

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As a trainee, you will be responsible for installing, configuring, and maintaining hardware and software, as well as gaining insights into the administration of Windows and Linux systems. You will also participate in network and infrastructure projects, provide support in IT, analyze and resolve technical issues, and learn about topics such as Active Directory, Microsoft 365, virtualization, and IT security.

We offer a dynamic and innovative work environment, with opportunities for professional growth and development. Our team is passionate about creating a better world of mobility, and we are looking for like-minded individuals to join us.

If you are interested in a challenging and rewarding career in system integration, we encourage you to apply.

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Job Description

We are a technology organisation operating high performance, large scale Linux production environments that support critical platforms and engineering teams. Our focus is on operational excellence, service reliability, automation, and continuous improvement. We run 24x7 operations and partner closely with platform, network, security, and engineering teams to deliver stable, secure, and scalable infrastructure.

Responsibilities

• Leading and managing a 24x7 L1 Linux Engineering / SRE team operating in rotational shifts
• Owning hiring, onboarding, performance management, coaching, and career development for L1 engineers
• Owning L1 production support operations for Linux systems in a 24x7 environment
• Acting as the first leadership escalation point during major production incidents
• Ensuring adherence to SLAs, OLAs, and operational KPIs such as availability and MTTR
• Providing technical oversight across Linux OS, bare metal and virtualized platforms, and monitoring/logging systems
• Driving automation adoption using Ansible, Bash, and Python to reduce manual toil
• Defining and maintaining SOPs, runbooks, escalation procedures, and documentation
• Partnering with platform, network, security, and engineering teams to improve system reliability and resilience

Impact

• Ensuring stable, reliable, and efficient 24x7 L1 Linux/SRE operations
• Reducing incident recurrence and improving incident response and resolution times
• Building a skilled, motivated, and well-governed L1 engineering team
• Improving operational maturity through automation, standardization, and documentation
• Enabling engineering and R&D teams through predictable and resilient platform operations

Requirements

• 10–14+ years of experience in IT Infrastructure, Linux Operations, or SRE
• 4–6+ years of people management experience, preferably managing 24x7 support teams
• Strong hands-on background in Linux system administration and production support
• Experience with incident management, on-call models, and rotational shifts
• Advanced knowledge of Linux OS internals
• Experience with virtualization platforms (VMware, KVM, OpenStack, oVirt)
• Knowledge of monitoring and logging tools (e.g., Nagios, ELK)
• Experience with automation and configuration management (Ansible)
• Scripting skills in Bash and/or Python

Who You Are

• A strong people leader with excellent coaching and decision-making skills
• Calm and effective under high-pressure production scenarios
• Highly structured and data-driven in driving operational excellence
• An effective communicator and stakeholder partner
• Passionate about reliability engineering, automation, and continuous improvement

Rewards and Benefits

• Opportunity to lead mission-critical, large-scale Linux and SRE operations
• High visibility role with exposure to senior leadership and engineering stakeholders
• Ability to shape operational strategy, automation, and reliability practices
• Strong focus on career growth, learning, and leadership development

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Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the Role

As a Research Engineer within Reinforcement Learning, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models. This role blends research and engineering responsibilities, requiring you to both implement novel approaches and contribute to the research direction. You'll work on fundamental research in reinforcement learning, creating 'agentic' models via tool use for open-ended tasks such as computer use and autonomous software generation, improving reasoning abilities in areas such as mathematics, and developing prototypes for internal use, productivity, and evaluation.

Representative projects:

• Architect and optimize core reinforcement learning infrastructure, from clean training abstractions to distributed experiment management across GPU clusters. Help scale our systems to handle increasingly complex research workflows.
• Design, implement, and test novel training environments, evaluations, and methodologies for reinforcement learning agents which push the state of the art for the next generation of models.
• Drive performance improvements across our stack through profiling, optimization, and benchmarking. Implement efficient caching solutions and debug distributed systems to accelerate both training and evaluation workflows.
• Collaborate across research and engineering teams to develop automated testing frameworks, design clean APIs, and build scalable infrastructure that accelerates AI research.

You may be a good fit if you:

• Are proficient in Python and async/concurrent programming with frameworks like Trio
• Have experience with machine learning frameworks (PyTorch, TensorFlow, JAX)
• Have industry experience in machine learning research
• Can balance research exploration with engineering implementation
• Enjoy pair programming (we love to pair!)
• Care about code quality, testing, and performance
• Have strong systems design and communication skills
• Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems

Strong candidates may have:

• Familiarity with LLM architectures and training methodologies
• Experience with reinforcement learning techniques and environments
• Experience with virtualization and sandboxed code execution environments
• Experience with Kubernetes
• Experience with distributed systems or high-performance computing
• Experience with Rust and/or C++

Strong candidates need not have:

• Formal certifications or education credentials
• Academic research experience or publication history

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential

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As a Research Engineer within Reinforcement Learning, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models. This role blends research and engineering responsibilities, requiring you to both implement novel approaches and contribute to the research direction. You'll work on fundamental research in reinforcement learning, creating 'agentic' models via tool use for open-ended tasks such as computer use and autonomous software generation, improving reasoning abilities in areas such as mathematics, and developing prototypes for internal use, productivity, and evaluation.

Representative projects:

• Architect and optimize core reinforcement learning infrastructure, from clean training abstractions to distributed experiment management across GPU clusters. Help scale our systems to handle increasingly complex research workflows.

• Design, implement, and test novel training environments, evaluations, and methodologies for reinforcement learning agents which push the state of the art for the next generation of models.

• Drive performance improvements across our stack through profiling, optimization, and benchmarking. Implement efficient caching solutions and debug distributed systems to accelerate both training and evaluation workflows.

• Collaborate across research and engineering teams to develop automated testing frameworks, design clean APIs, and build scalable infrastructure that accelerates AI research.

You may be a good fit if you:

• Are proficient in Python and async/concurrent programming with frameworks like Trio

• Have experience with machine learning frameworks (PyTorch, TensorFlow, JAX)

• Have industry experience in machine learning research

• Can balance research exploration with engineering implementation

• Enjoy pair programming (we love to pair!)

• Care about code quality, testing, and performance

• Have strong systems design and communication skills

• Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems

Strong candidates may have:

• Familiarity with LLM architectures and training methodologies

• Experience with reinforcement learning techniques and environments

• Experience with virtualization and sandboxed code execution environments

• Experience with Kubernetes

• Experience with distributed systems or high-performance computing

• Experience with Rust and/or C++

Strong candidates need not have:

• Formal certifications or education credentials

• Academic research experience or publication history

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

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

£260,000 - £630,000GBP

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic is a legitimate company and we will never ask you to pay any fees or provide sensitive information via email or phone.

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Location

San Francisco; New York City

Employment Type

Full time

Department

Scaling

Compensation

• $230K – $385K • 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.

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.

About the Team

The Agent Infrastructure team at OpenAI is responsible for building systems that enable training and deployment of highly useful AI agents, both internally and for the world.

We work hand-in-hand with researchers to design and scale the environment in which agentic models are trained – providing a workspace for AI models to execute code, debug issues, and develop software just as human SWEs do. Our training environment for agentic models operates at an extremely high scale and has the flexibility to emulate any environment in which an agent might work.

At the same time, our team builds and maintains OpenAI’s core platform for the deployment and execution of agents in production. Our systems power products such as Codex, Operator, tool use in ChatGPT, and future agentic products.

About the Role

As a Software Engineer on the Agent Infrastructure team, you will have the opportunity to work closely with both research and product at OpenAI - building and scaling systems to train highly capable agentic models, and building the platform and integrations to launch new agents to hundreds of millions of users worldwide.

Your work will consist of both building new capabilities - standing up the infrastructure and integrations needed to train more complex agentic models - and rapidly scaling these new capabilities to some of the largest compute clusters in the world. At the same time, you’ll be instrumental to the launch of agentic products at OpenAI - building, maintaining, and scaling the production platform on which all agents run.

Responsibilities

• Push massive compute clusters to their limits. You will be a core contributor to a novel container orchestration platform built in-house by our team to scale far beyond what’s possible with systems like Kubernetes.

• Develop and maintain FastAPI and gRPC APIs that serve as the interface for our agentic infrastructure used both in training and production.

• Use Terraform to stand up and evolve complex infrastructure for both research and production.

• Collaborate with research teams to stand up and optimize systems for novel AI training runs and experimental applications.

Requirements

• Have deep experience working on large-scale machine learning infrastructure. You know how to reason about training at scale, identifying bottlenecks and engineering solutions to optimize system performance in training environments.

• Know how to build new things from 0-1 quickly, and then scale them 1,000,000x.

• Have a keen eye for performance and optimization. You know how to squeeze the most performance out of complex, globally-distributed systems.

• Know your way around cloud platforms and work with infrastructure-as-code tech like Terraform.

• Are driven by solving complex, ambiguous problems at the intersection of infrastructure scalability, virtualization efficiency, and agentic capabilities.

• Have deep technical expertise in virtualization and containerization technologies (e.g. Kata, Firecracker, gVisor, Sysbox) and are passionate about optimizing runtime performance.

What We Offer

• Competitive salary and equity package

• Opportunity to work on cutting-edge AI infrastructure

• Collaborative and dynamic team environment

• Flexible work arrangements

• Professional development opportunities

• Access to the latest technology and tools

How to Apply

If you are a motivated and experienced software engineer looking to join a dynamic team and work on cutting-edge AI infrastructure, please submit your application. We look forward to hearing from you!

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Race IT Technical Support Engineer

Full Time

Signes, France

Young Professional

July 14, 2025

Participate in the development of Information Technology plans, strategies and methods, which maximize the department's contribution towards meeting overall company goals and objectives.

Main Tasks

• Setup, Support, Operate and Maintain the IT infrastructure in racing environment
• Travel with our other IT team at track event and testing facilities
• Setup/maintenance trackside IT systems at race & test events
• Monitor performance of Data transferring and H/W reliability
• Assist colleagues with day-to-day all kind of IT technical challenges in race & test events
• Additional related IT duties may be assigned

Qualifications

• Bachelor's degree in Computer Science, Engineering or equivalent
• 3+ years experience as Technical Support Engineer
• Knowledge in: Active Directory, M365 and VMare

Our Offer

• Secure and long-term employment relationship
• Market and performance-related remuneration
• Training and career development
• Working in an international and dynamic environment
• Attractive benefits

https://motorsporthyundai.career.softgarden.de/jobs/57789748/Race-IT-Technical-Support-Engineer/

Race IT Technical Support Engineer

Signes, France

Full Time

July 14, 2025

Main Tasks

Our Offer

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What you'll do

• Build and Operate Scalable Systems: Support the development, deployment, and maintenance of distributed, cloud-based infrastructure leveraging modern open-source technologies (AWS/GCP/Azure, Kubernetes, Terraform, Docker, etc.).
• Platform Operations and Automation: Develop automation scripts, tools, and workflows to reduce manual effort, improve system reliability, and optimize infrastructure operations (reducing MTTD and MTTR).

What you need

• 1-2 years of experience in Cloud Computing (AWS preferred), Virtualization, and Containerization using Kubernetes, Docker, and/or VMWare.

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What you'll do

• Own the product vision and roadmap for anti-cheat platform integrity, effectiveness, and stability across EA’s PC and emerging hardware platforms.
• Serve as the lead product manager for Javelin, accountable for feature prioritization decisions, studio alignment, and long-term evolution of the anti-cheat solution

What you need

• 6+ years of Product Management Experience, with a focus on security, platform, infrastructure, or systems-level products.

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What you'll do

• Work with our internal customers to design and implement new automated workflows
• Monitor our solutions to ensure they are running as expected, and debug and fix any issues found promptly, while communicating with our partners

What you need

• 3+ years of experience as a software engineer
• Object-oriented/scripting languages (e.g. Python, Groovy, C#, Java, or Ruby)
• Implement CI/CD pipelines (e.g. Jenkins, GitLab CI)
• Source control management tools (e.g. Perforce, Git)
• Configuration management tools (e.g. Chef, Ansible, Terraform, Packer)
• Cloud platforms (e.g. AWS, GCP, Azure)
• Containerization technologies (e.g. Docker, Kubernetes)
• Secrets management tools (e.g Vault)
• Artifact repositories (e.g. Artifactory, NPM, NuGet)
• Virtualization environments and tools (e.g. VMs, vSphere)
• Data and Observability tools (e.g. Splunk, Grafana, New Relic, Open Telemetry)

Why this matters

As a Software Engineer at Electronic Arts, you will have the opportunity to work on a wide range of projects and technologies, and to contribute to the development of our next-generation entertainment experiences. You will be part of a collaborative and dynamic team, and will have the opportunity to learn and grow with the company.

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