The nature of our business means you'll spend significant time helping customers who've already adopted Temporal unlock more value by expanding into additional use cases, teams, and workloads. This is a high-velocity, technically deep role.

You'll partner with developers, architects, and engineering leaders at fast-moving companies to help them understand how Temporal fits into their existing architecture and prove out value through hands-on technical work.

You'll be working in a consumption model where usage grows over time, which means building strong technical relationships and staying engaged with accounts as they scale.

As an early member of a growing team, you should be comfortable with ambiguity, frequent context switching, and creating leverage through reusable assets that help the broader team move faster.

Must reside in San Francisco, CA

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You will lead the architecture, implementation, and deployment of the logic that enables these systems to understand their environment, navigate safely, respond to obstacles or threats, and execute complex missions with limited human involvement.

As a technical leader, you will provide hands-on contributions across software development, establishing a long-term software roadmap, and leading the team through execution of that plan.

Collaborating closely with program leadership and cross-functional teams from other Anduril products, you'll ensure that designs align with customer requirements while maintaining traceability to program office technical decisions.

You will act as a subject matter expert in mission systems development and integration, presenting to customers and demonstrating overall system performance.

If you enjoy tackling complex technical challenges and owning the development of high-impact products, this role is for you.

Key Responsibilities:

• Act as a technical leader on a small team owning software for Copperhead

• Draw on both your technical expertise and leadership skills to set objectives, build cross-functional teams, and rapidly drive projects to completion

• Drive the design and implementation of development processes for the initial delivery and subsequent iteration of payloads and mission systems

• Act as the technical owner for an entire mission system, including stakeholder and customer engagement, requirements definition, roadmap management, team coordination, design, implementation, sustainment and evolution

• Organize integration events, scoping key deliverables and impact to broader program

• Own customer success through the design and delivery of a fully operational mission system

• Leverage internal product and program-specific engineering teams to rapidly deliver capability beyond the scope of current platforms, with a clear path for both architecture and capability evolution over time

• Generate system solutions to improve reliability, ease-of-use, and capability across a variety of customer missions

• Write and maintain core libraries (frame transformations, targeting and guidance, communications, etc.) that all robotics platforms at Anduril will use

• Own major feature development for Copperhead and manage rollout to the fleet

• Author documents to fulfill specific customer requests, including white papers and reports

• Travel up to 15% of time to build, test, and deploy capabilities in the real world, and collaborate with other teams or end-users

Required Qualifications:

• Strong engineering background from industry or school, ideally in areas/fields such as Robotics, Computer Science, Software Engineering, Mechatronics, Electrical Engineering, Mathematics, or Physics

• Experience in a leadership position within a high-performing technology organization

• Proven understanding of data structures, algorithms, concurrency, and code optimization

• 6+ years of professional C++ or Rust programming experience in a Linux development environment

• Experience troubleshooting and analyzing remotely deployed software systems

• Experience with the development and sustainment of distributed software platform and application architectures, running under dynamic network topologies

• Capacity to work holistically on software-enabled capabilities up and down the software stack and through lifecycle through design, implementation, operation, and sustainment

• Demonstrated curiosity and ability to learn outside of core discipline, and a desire to work on critical software that has a real-world impact

• Experience engaging with customers to represent the technical aspects of a product portfolio regarding missions and payloads

• Strong communication skills and ability to collaborate across technical teams

• Eligible to obtain and maintain an active U.S. Secret security clearance

Preferred Qualifications:

• MS or PhD in Computer Science, Robotics, or a related field

• Experience with modeling and simulation of complex systems

• Proficiency in Python, Rust, and/or Go

• Experience in one or more of the following: high-performance computing, network programming, fault tolerance, fault handling, DevSecOps

• Experience solving complex frame transformation problems, such as target localization or multi-degree-of-freedom robotic arms

• Experience in one or more of the following: sensor integration, tracking and estimation, motion planning, perception, localization, mapping, guidance, navigation, and control, and related system performance metrics

• Hands-on experience developing software for embedded and physical devices

• Solid understanding of robotics systems, common interfaces, and protocols (gRPC, TCP/IP, RS485, RS232)

• Demonstrated ability to learn and grow individually, while effectively mentoring senior team members, building team cohesion, and increasing team capability

Experience Level: Senior

Employment Type: Full-time

Workplace Type: Onsite

Category: Engineering

Industry: Technology

Salary Range: $220,000-$292,000 USD

Required Skills:

• C++

• Rust

• Linux development environment

• Data structures

• Algorithms

• Concurrency

• Code optimization

• Distributed software platform and application architectures

• Dynamic network topologies

• Software-enabled capabilities

• Critical software

• Complex systems

• Modeling and simulation

• High-performance computing

• Network programming

• Fault tolerance

• Fault handling

• DevSecOps

• Sensor integration

• Tracking and estimation

• Motion planning

• Perception

• Localization

• Mapping

• Guidance

• Navigation

• Control

Preferred Skills:

• Python

• Go

• High-performance computing

• Network programming

• Fault tolerance

• Fault handling

• DevSecOps

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You will lead the architecture, implementation, and deployment of the logic that enables these systems to understand their environment, navigate safely, respond to obstacles or threats, and execute complex missions with limited human involvement.

As a technical leader, you will provide hands-on contributions across software development, establish a long-term software roadmap, and lead the team through execution of that plan.

Collaborating closely with program leadership and cross-functional teams from other Anduril products, you'll ensure that designs align with customer requirements while maintaining traceability to program office technical decisions.

You will act as a subject matter expert in mission systems development and integration, presenting to customers and demonstrating overall system performance.

If you enjoy tackling complex technical challenges and owning the development of high-impact products, this role is for you.

In this role, you will:

• Act as a technical leader on a small team owning software for Copperhead
• Draw on both your technical expertise and leadership skills to set objectives, build cross-functional teams, and rapidly drive projects to completion
• Drive the design and implementation of development processes for the initial delivery and subsequent iteration of payloads and mission systems
• Act as the technical owner for an entire mission system, including stakeholder and customer engagement, requirements definition, roadmap management, team coordination, design, implementation, sustainment, and evolution
• Organize integration events, scoping key deliverables and impact to broader program
• Own customer success through the design and delivery of a fully operational mission system
• Leverage internal product and program-specific engineering teams to rapidly deliver capability beyond the scope of current platforms, with a clear path for both architecture and capability evolution over time
• Generate system solutions to improve reliability, ease-of-use, and capability across a variety of customer missions
• Write and maintain core libraries (frame transformations, targeting and guidance, communications, etc.) that all robotics platforms at Anduril will use
• Own major feature development for Copperhead and manage rollout to the fleet
• Author documents to fulfill specific customer requests, including white papers and reports
• Travel up to 15% of time to build, test, and deploy capabilities in the real world, and collaborate with other teams or end-users

Required qualifications include:

• Strong engineering background from industry or school, ideally in areas/fields such as Robotics, Computer Science, Software Engineering, Mechatronics, Electrical Engineering, Mathematics, or Physics
• Experience in a leadership position within a high-performing technology organization
• Proven understanding of data structures, algorithms, concurrency, and code optimization
• 6+ years of professional C++ or Rust programming experience in a Linux development environment
• Experience troubleshooting and analyzing remotely deployed software systems
• Experience with the development and sustainment of distributed software platform and application architectures, running under dynamic network topologies
• Capacity to work holistically on software-enabled capabilities up and down the software stack and through lifecycle through design, implementation, operation, and sustainment
• Demonstrated curiosity and ability to learn outside of core discipline, and a desire to work on critical software that has a real-world impact
• Experience engaging with customers to represent the technical aspects of a product portfolio regarding missions and payloads
• Strong communication skills and ability to collaborate across technical teams
• Eligible to obtain and maintain an active U.S. Secret security clearance

Preferred qualifications include:

• MS or PhD in Computer Science, Robotics, or a related field
• Experience with modeling and simulation of complex systems
• Proficiency in Python, Rust, and/or Go
• Experience in one or more of the following: high-performance computing, network programming, fault tolerance, fault handling, DevSecOps
• Experience solving complex frame transformation problems, such as target localization or multi-degree-of-freedom robotic arms
• Experience in one or more of the following: sensor integration, tracking and estimation, motion planning, perception, localization, mapping, guidance, navigation, and control, and related system performance metrics
• Hands-on experience developing software for embedded and physical devices
• Solid understanding of robotics systems, common interfaces, and protocols (gRPC, TCP/IP, RS485, RS232)
• Demonstrated ability to learn and grow individually, while effectively mentoring senior team members, building team cohesion, and increasing team capability

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At Cloudflare, we're 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.

Emerging Technologies & Incubation (ETI)

ETI is where new and bold products are built and released within Cloudflare. Rather than being constrained by the structures which make Cloudflare a massively successful business, we are able to leverage them to deliver entirely new tools and products to our customers. Cloudflare's edge and network make it possible to solve problems at massive scale and efficiency which would be impossible for almost any other organization.

About the Team

ETI's Storage Infrastructure team is responsible for the core storage layer that underpins many of ETI's stateful services. Our scope ranges from managing the physical hardware to operating the distributed databases and storage systems built upon it. We run this infrastructure globally across Cloudflare's network, which presents unique and complex engineering puzzles. We navigate efficiently expanding storage capacity, optimizing rebuild operations, and coordinating operations across failure domains to uphold durability.

While other service teams focus on product development, our mission is to ensure the underlying storage is reliable, performant, and scalable. You'll be joining a highly motivated team that is building the next generation of distributed storage services.

Responsibilities

In this role, you will help build and operate the next generation of globally distributed storage systems. You will own your code from inception to release, delivering solutions at all layers of the stack. On any given day, you might write a design document for a new provisioning system, model failure domain dependencies across edge locations, benchmark new storage hardware, build standardized observability and runbooks for distributed database clusters, or automate operational toil through purpose-built tooling and intelligent automation.

You can expect to interact with a variety of languages and technologies including Rust, Go, Saltstack, and Terraform.

Examples of desirable skills, knowledge, and experience

• Strong programming skills with languages like Rust, Go, or Python
• A solid understanding of distributed systems concepts such as consistency, consensus, data replication, fault tolerance, and partition tolerance
• Experience with distributed databases and storage systems
• Experience with infrastructure configuration tooling and infrastructure as code
• Familiarity with storage fundamentals: block devices, filesystems, SSD characteristics
• Experience building and maintaining high-throughput, low-latency systems
• Understanding of network fundamentals as they relate to distributed storage -- bandwidth constraints, latency tradeoffs, cross-datacenter replication
• Strong written and verbal communication skills and ability to explain technical decisions clearly
• Comfortable operating in fast-paced environments with tight deadlines and evolving priorities

Benefits

Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!

The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.

Health & Welfare Benefits

• Medical/Rx Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Accounts
• Commuter Spending Accounts
• Fertility & Family Forming Benefits
• On-demand mental health support and Employee Assistance Program
• Global Travel Medical Insurance

Financial Benefits

• Short and Long Term Disability Insurance
• Life & Accident Insurance
• 401(k) Retirement Savings Plan
• Employee Stock Participation Plan

Time Off

• Flexible paid time off covering vacation and sick leave
• Leave programs, including parental, pregnancy health, medical, and bereavement leave

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!

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

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

Responsibilities:

• Architect and implement foundational systems that power Claude
• Maximize GPU utilization and performance at unprecedented scale
• Develop cutting-edge optimizations that directly enable new model capabilities
• Dramatically improve inference efficiency
• Implement state-of-the-art techniques from custom kernel development to distributed system architectures
• Work at the intersection of hardware and software
• Span the entire stack,from low-level tensor core optimizations to orchestrating thousands of GPUs in perfect synchronization

Requirements:

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

Nice to have:

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

Representative projects:

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

Note: The salary range for this position is $280,000-$850,000 USD per year.

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Responsibilities

• Strategic Technical Leadership: Provide technical direction for full stack systems, making key architectural and systems-level decisions to ensure scalability, reliability, and security. Stay engaged with hands-on technical work on complex systems and critical projects.
• Team Leadership and Development: Lead and mentor a team of engineers, fostering their technical growth and ensuring high-quality output. Create a collaborative, high-performing culture that aligns with Flow's values of integrity, trust, and excellence.
• Cross-Functional Collaboration: Partner with product, operations, and engineering teams to define clear requirements and translate them into scalable, maintainable software solutions. Effectively communicate technical concepts to non-technical stakeholders.
• Execution and Delivery: Balance technical excellence with pragmatic decision-making to deliver continuous value to the business. Drive projects forward, identifying and resolving blockers to maintain momentum.
• Talent Development: Contribute to recruitment and hiring of engineering talent. Foster an environment of continuous learning, accountability, and teamwork.

Qualifications

• Technical Expertise: 10+ years of software engineering & management experience with deep knowledge of full stack systems, distributed systems principles, high availability, fault tolerance, and system efficiency. Proficiency in multiple modern programming languages with ability to adapt to new technologies quickly.
• Leadership Experience: Proven experience managing and developing engineering teams, with demonstrated ability to mentor engineers, resolve conflicts, and drive performance improvements.
• Architectural Thinking: Strong track record of making high-level architectural decisions that balance technical feasibility with business goals. Experience working in fast-paced, product-driven environments.
• Communication Skills: Excellent ability to explain complex technical concepts clearly across teams and to non-technical audiences. Strong collaboration and stakeholder management skills.
• Cultural Fit: Alignment with Flow's values of innovation, excellence, and teamwork. Demonstrated commitment to building positive, inclusive work environments.

Additional Information Benefits • Comprehensive Benefits Package (Medical / Dental / Vision / Disability / Life) • Paid time off and 13 paid holidays • 401(k) retirement plan • Healthcare and Dependent Care Flexible Spending Accounts (FSAs) • Access to HSA-compatible plans • Pre-tax commuter benefits • Employee Assistance Program (EAP), free therapy through SpringHealth, acupuncture, and other wellness offerings

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

We are looking for a Senior C++ Robotics Engineer to join our team. As a key member of our engineering team, you will play a vital role in developing and integrating autonomous vehicle systems.

Responsibilities

• Design and implement robust robotics software using C++ and ROS/ROS2 framework
• Develop and maintain critical system components including state management, health monitoring, and diagnostic tools
• Create and optimize high-performance software for processing sensor data from LiDAR, cameras, and other perception systems
• Implement and maintain CAN bus communications and firmware update systems
• Configure and optimize container environments for various autonomous vehicle components
• Develop and maintain system provisioning and configuration management tools
• Implement performance profiling and optimization across the autonomous vehicle stack
• Create and maintain automated testing and validation frameworks for system integration
• Troubleshoot complex system issues across hardware, software, and network interfaces
• Collaborate with cross-functional teams to integrate perception, localization, and control systems

Requirements

• 5+ years of experience in robotics software development or system integration
• Strong proficiency in ROS/ROS2 and Ubuntu-based systems
• Extensive experience with real-time system performance optimization and CUDA programming
• Deep understanding of autonomous vehicle architecture and systems integration
• Strong background in electrical systems, CAN protocols, and firmware development
• Expertise in container technologies (Docker, Podman) and their underlying systems
• Experience with configuration management tools like Ansible
• Strong programming skills in C++, Python, and shell scripting
• Thorough understanding of networking principles and protocols
• Experience with high-performance computing and system optimization
• Strong debugging and problem-solving skills across hardware and software domains
• Excellent documentation and communication skills

Nice to Have

• Experience with fleet management systems or logistics software
• Experience with industrial automation or autonomous mobile robots
• Knowledge of Open-RMF middleware framework
• Experience with telematics data processing and analytics
• Familiarity with computer vision and machine learning deployment
• Experience with over-the-air (OTA) update systems
• Knowledge of safety-critical software development practices
• Experience with real-time operating systems
• Familiarity with automotive-grade software development
• Background in system safety and fault tolerance design
• Experience with simulation environments for autonomous systems testing
• Knowledge of DevOps practices and CI/CD pipelines

Benefits & Perks

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

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As a Staff Software Engineer, you'll work on high-impact systems problems such as optimizing metadata management, caching, and replication across thousands of nodes; designing concurrent, fault-tolerant services for multi-region and multi-cloud environments; evolving Alluxio's storage abstraction and scheduling layer to support large-scale AI/ML data pipelines; and collaborating with internal product teams to push the limits of distributed I/O performance.

This is a hands-on, architecture-plus-implementation role for engineers who love deep systems work and want visible impact in a small, senior, highly technical team.

What You'll Own

• Cache and metadata consistency - advance Alluxio's intelligent caching framework for multi-tenant environments (TTL policies, write-back consistency, invalidation protocols, and distributed metadata scaling).
• High-throughput data I/O optimization - profile and optimize Alluxio's data path across S3, GCS, HDFS, and POSIX interfaces using adaptive prefetching, async I/O, and tier-aware scheduling.
• Scaling for AI and analytics workloads - evolve the coordination layer to efficiently serve distributed AI training clusters, accelerating model load and shuffle operations across regions and clouds.
• Observability and performance insights - build fine-grained metrics and tracing for cache efficiency, throughput, and latency across storage tiers.
• Open-source leadership - drive design discussions, mentor contributors, and represent Alluxio's core-systems direction within the OSS community.

What You'll Do

• Design and implement core components of Alluxio's distributed file and object-access layer.
• Optimize performance for large-scale, high-throughput environments using advanced concurrency and caching techniques.
• Build scalable metadata and coordination systems that ensure strong consistency, high availability, and minimal latency.
• Collaborate cross-functionally with product, solution-engineering, and research teams to drive roadmap and customer success.

What We're Looking For

• Strong computer-science fundamentals and a passion for large-scale distributed systems.
• Professional experience developing in Java, C++, or Go.
• Deep understanding of concurrency, replication, fault tolerance, and performance optimization.
• Experience with distributed storage, data-access layers, or cloud infrastructure (e.g., Spark, Presto, Hadoop, Kubernetes).
• Bachelor's or advanced degree in Computer Science or related technical field (or equivalent experience).
• Demonstrated technical leadership: defining architecture, mentoring peers, or driving major projects from design through release.

Why Alluxio

• Build infrastructure trusted by the world's largest AI and data-driven companies.
• Join a small, senior engineering team where your designs shape the product's evolution.
• Work directly with the original creators of open-source Alluxio.
• A culture of empathy, curiosity, and ownership - where engineers collaborate closely to solve hard problems.

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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 team

We are seeking passionate Research Scientists and Engineers to join our growing Pre-training team in Zurich. We are involved in developing the next generation of large language models. The team primarily focuses on multimodal capabilities: giving LLMs the ability to understand and interact with modalities other than text.

In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems.

Responsibilities

In this role you will interact with many parts of the engineering and research stacks.

• Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development

• Independently lead small research projects while collaborating with team members on larger initiatives

• Design, run, and analyse scientific experiments to advance our understanding of large language models

• Optimise and scale our training infrastructure to improve efficiency and reliability

• Develop and improve dev tooling to enhance team productivity

• Contribute to the entire stack, from low-level optimisations to high-level model design

Qualifications & Experience

We encourage you to apply even if you do not believe you meet every single criterion. Because we focus on so many areas, the team is looking for both experienced engineers and strong researchers, and encourage anyone along the researcher/engineer spectrum to apply.

• Degree (BA required, MS or PhD preferred) in Computer Science, Machine Learning, or a related field

• Strong software engineering skills with a proven track record of building complex systems

• Expertise in Python and deep learning frameworks

• Have worked on high-performance, large-scale ML systems, particularly in the context of language modelling

• Familiarity with ML Accelerators, Kubernetes, and large-scale data processing

• Strong problem-solving skills and a results-oriented mindset

• Excellent communication skills and ability to work in a collaborative environment

You'll thrive in this role if you

• Have significant software engineering experience

• Are able to balance research goals with practical engineering constraints

• Are happy to take on tasks outside your job description to support the team

• Enjoy pair programming and collaborative work

• Are eager to learn more about machine learning research

• Are enthusiastic to work at an organisation that functions as a single, cohesive team pursuing large-scale AI research projects

• Have ambitious goals for AI safety and general progress in the next few years, and you’re excited to create the best outcomes over the long-term

Sample Projects

• Optimising the throughput of novel attention mechanisms

• Proposing Transformer variants, and experimentally comparing their performance

• Preparing large-scale datasets for model consumption

• Scaling distributed training jobs to thousands of accelerators

• Designing fault tolerance strategies for training infrastructure

• Creating interactive visualisations of model internals, such as attention patterns

If you're excited about pushing the boundaries of AI while prioritising safety and ethics, we want to hear from you!

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.

How we're different

We believe that the highest-impact work in AI safety and general progress in the next few years will be done by a single, cohesive team pursuing large-scale AI research projects. We're committed to creating a work environment that is inclusive, diverse, and supportive of our team members' well-being and career growth.

Career Growth

We're committed to helping our team members grow and develop their careers. We offer opportunities for professional development, mentorship, and career advancement. We believe that our team members are the key to our success, and we're committed to supporting their growth and development.

Benefits

We offer a competitive salary and benefits package, including health insurance, retirement savings, and paid time off. We also offer a range of perks, including a generous parental leave policy, flexible work arrangements, and access to cutting-edge technology and tools.

How to Apply

If you're excited about joining our team and contributing to the development of safe, steerable, and trustworthy AI systems, please submit your application. We can't wait to hear from you!

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

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

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

You might be a good fit if you:

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

Strong candidates may also have experience with:

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

Representative projects:

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

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

The expected salary range for this position is:

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

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