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HW/SW Co-Design Engineer - job 1 of 7

About the Team

Our mission at OpenAI is to discover and enact the path to safe, beneficial AGI. To do this, we believe that many technical breakthroughs are needed in generative modeling, reinforcement learning, large scale optimization, active learning, among other topics.

The Research Platform team builds robust and scalable software to support our research efforts. It also offers core development services for mission critical goals and applications. 

We’re forming a new team to work with our partners on hardware optimization and co-design, and are looking for founding engineers. This team will be responsible for working with partners to optimize their hardware for our workloads, identifying promising new deep learning accelerators, and bringing those hardware platforms to production.

About the Role

As an Engineer on our Hardware Team, you will co-design future hardware from different vendors for programmability and performance. You will work with our kernel, compiler and machine learning engineers to understand their needs related to ML techniques, algorithms, numerical approximations, programming expressivity, and compiler optimizations. You will evangelize these constraints with various vendors to develop future hardware architectures amenable for efficient training and inference. If you are excited about maximizing HBM bandwidth, optimizing for low arithmetic intensity, expressive SIMD ISA, low-precision formats, optimizing for memory hierarchies, simulating workloads at various resolutions of the hardware and evangelizing these ideas with hardware engineers, this is the perfect opportunity!

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

  • Co-design future hardware for programmability and performance with our hardware vendors

  • Assist hardware vendors in developing optimal kernels and add support for it in our compiler

  • Develop performance estimates for critical kernels for different hardware configurations 

  • Work with machine learning engineers, kernel engineers and compiler developers to understand their vision and needs from high performance accelerators

  • Manage communication and coordination with internal and external partners

  • Influence the roadmap of hardware partners to optimize them for OpenAI’s workloads.

  • Evaluate potential partners’ accelerators and platforms.

  • Build simulations and performance models to progressively improve decision making fidelity.

  • As the scope of the role and team grows, understand and influence roadmaps for hardware partners for our datacenter networks, racks, and buildings.

You might thrive in this role if you:

  • 4+ years of industry experience, including experience harnessing compute at scale or building semiconductors.

  • Strong experience in software/hardware co-design

  • Deep understanding of GPU and/or other AI accelerators

  • Experience with CUDA or a related accelerator programming language

  • Experience driving Machine Learning accuracy with low precision formats

  • Experience aligning future hardware with a well established HPC infrastructure

  • Are familiar with the fundamentals of deep learning computing and chip microarchitecture.

  • Able to actively collaborate with ML engineers, kernel writers and compiler developers

These attributes are nice to have:

  • PhD in Computer Science and Engineering with a specialization in Computer Architecture, Parallel Computing. Compilers or other Systems

  • Strong coding skills in C/C++ and Python

  • Strong understanding of LLMs and challenges related to their training and inference 

Benefits and Perks

  • Medical, dental, and vision insurance for you and your family

  • Mental health and wellness support

  • 401(k) plan with 4% matching

  • Unlimited time off and 18+ company holidays per year

  • Paid parental leave (20 weeks) and family-planning support

  • Annual learning & development stipend ($1,500 per year)

About OpenAI

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

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. 

OpenAI Affirmative Action and Equal Employment Opportunity Policy Statement

For US Based Candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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What You Should Know About HW/SW Co-Design Engineer, OpenAI

At OpenAI, we're on an ambitious journey to explore and shape the path toward safe and beneficial general artificial intelligence (AGI). Join us as a HW/SW Co-Design Engineer in beautiful San Francisco, where our Research Platform team is building robust software solutions to support groundbreaking research. In this exciting new role, you'll be part of a pioneering team that focuses on optimizing hardware to meet our demanding workloads. Your contributions will help identify and bring innovative deep learning accelerators into production. If you love the challenge of co-designing future hardware architectures for enhanced programmability and performance, this position is perfect for you! You will collaborate closely with software engineers, machine learning experts, and external hardware vendors to evangelize hardware architectures that support efficient training and inference. Your efforts will directly influence the design of hardware, ensuring it meets our needs and maximizes output. Plus, we foster a hybrid work environment with three days in the office, along with relocation assistance for new hires. At OpenAI, you will be empowered to innovate in a dynamic, supportive atmosphere where your technical skills and insights will shape the future of AI technology. If you’re ready to make an impact in the heart of Silicon Valley, we want to hear from you!

Frequently Asked Questions (FAQs) for HW/SW Co-Design Engineer Role at OpenAI
What are the key responsibilities of a HW/SW Co-Design Engineer at OpenAI?

As a HW/SW Co-Design Engineer at OpenAI, your primary responsibilities include co-designing future hardware for optimizations in programmability and performance. You will work alongside hardware vendors to develop optimal kernels that integrate with our compilers. Additionally, you will evaluate various hardware configurations, manage communication between internal and external partners, and help influence hardware roadmaps to optimize them for OpenAI's specific workloads.

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What qualifications are needed for a HW/SW Co-Design Engineer role at OpenAI?

To succeed as a HW/SW Co-Design Engineer at OpenAI, candidates typically require at least 4 years of industry experience focusing on compute at scale or semiconductor building. A deep understanding of GPUs and AI accelerators, along with experience in CUDA or similar programming languages, is essential. Familiarity with deep learning computing and chip microarchitecture, as well as a willingness to collaborate creatively with ML engineers and compiler developers, is vital.

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What software skills are beneficial for a HW/SW Co-Design Engineer at OpenAI?

A strong foundation in programming languages such as C/C++ and Python is highly advantageous for a HW/SW Co-Design Engineer at OpenAI. Proficiency in these languages will enable you to effectively collaborate with ML engineers and create performance models that enhance hardware decision-making. Experience with compiler optimizations and low-precision formats is also beneficial.

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How does the HW/SW Co-Design Engineer role fit into OpenAI's mission?

The HW/SW Co-Design Engineer role is pivotal to OpenAI's mission by ensuring our hardware is aligned with the demands of advanced AI workloads, thereby enhancing the effectiveness and efficiency of our research. By collaborating with hardware vendors and leveraging your expertise, you'll help build the necessary infrastructure to support our AI-driven innovations, ultimately advancing the safe deployment of artificial intelligence.

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What benefits does OpenAI offer for the HW/SW Co-Design Engineer position?

OpenAI offers a comprehensive range of benefits for the HW/SW Co-Design Engineer position, including medical, dental, and vision insurance, mental health and wellness support, and a 401(k) plan with matching. Employees enjoy unlimited paid time off, family planning support, and an annual professional development stipend, which fosters continuous learning and growth within the company.

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Common Interview Questions for HW/SW Co-Design Engineer
Can you describe your experience with hardware and software co-design?

When responding to this question, detail any projects where you successfully collaborated on hardware-software integration, emphasizing specific outcomes and the techniques you used to optimize performance.

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How do you approach optimizing kernel performance on new hardware?

Share specific strategies you employ for kernel optimization, including profiling methods and performance analysis tools. Explain how these strategies have led to improved computation efficiency in past roles.

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What are the key considerations when designing hardware for machine learning workloads?

Discuss critical factors like data bandwidth, memory hierarchies, and processing precision. Emphasize how you balance these elements to support high-performance machine learning applications.

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What is your experience with CUDA or similar programming languages?

Provide an overview of how you have used CUDA or related languages in previous projects, highlighting particular challenges you overcame and the results achieved in terms of performance.

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How do you keep updated on the latest advances in AI hardware?

Mention specific resources such as academic journals, conferences, or online communities you follow. Highlight how you apply this knowledge to your work and decision-making.

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Can you give an example of a successful collaboration with a hardware vendor?

Share a detailed account of a time you worked with a hardware vendor to achieve a specific goal. Discuss the communication techniques you used and the impact on the project.

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What challenges have you faced when integrating new hardware into existing systems?

Identify past challenges you faced during integrations, explaining the solutions you implemented and how they led to positive project outcomes.

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How do you handle disagreements with team members regarding hardware implementation choices?

Illustrate your conflict resolution skills by providing an example of a past disagreement and the collaborative approach you took to reach a consensus.

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What experience do you have with low-precision formats in machine learning?

Discuss instances where you have successfully implemented low-precision formats and the impact it had on model performance, detailing any trade-offs made.

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Where do you see the future of hardware development for AI heading?

Share your vision for the future of AI hardware, reflecting on current trends and how advancements like heterogeneous computing might shape performance and efficiency.

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OpenAI is a US based, private research laboratory that aims to develop and direct AI. It is one of the leading Artifical Intellgence organizations and has developed several large AI language models including ChatGPT.

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EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
March 12, 2025

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