About the Team
OpenAI’s Hardware organization develops system and infrastructure solutions optimized for advanced AI workloads. We collaborate across research, software, and external hardware partners to design and deploy next-generation AI systems at scale.
Our team works closely with silicon vendors and system partners to evaluate emerging technologies, validate performance characteristics, and ensure that hardware capabilities translate effectively to real-world AI workloads.
About the Role
We are seeking a 3P Hardware Architecture Expert with deep expertise in GPU and accelerator architectures to engage directly with silicon vendors and guide hardware decisions for AI infrastructure.
In this role, you will evaluate architectural tradeoffs across compute, memory, and interconnect systems, translating vendor specifications into real-world workload impact. You will play a critical role in early silicon evaluation, benchmarking, and performance validation, helping ensure that next-generation hardware meets the needs of our workloads.
This role is highly hands-on and requires both deep technical understanding and the ability to engage at a high level with partners such as NVIDIA and AMD on architectural direction and design tradeoffs.
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.
Key Responsibilities
Engage deeply with silicon vendors (e.g NVIDIA & AMD) on GPU and accelerator architecture tradeoffs.
Analyze and interpret performance, power, and efficiency characteristics of next-generation hardware.
Translate vendor specifications into expected real-world performance for AI workloads.
Evaluate architectural aspects including:
- compute throughput and utilization
- memory systems (HBM, cache hierarchies, bandwidth constraints)
- data types and precision tradeoffs (FP16, BF16, FP8, etc.)
- interconnect and scaling behavior.
Run benchmarks and profiling to validate hardware performance against workload requirements.
Lead early bring-up and evaluation of engineering sample (ES) silicon.
Partner with performance modeling and system architecture teams to align measured vs. modeled behavior.
Provide actionable feedback to vendors to influence future silicon design and roadmap decisions.
Qualifications
- Have deep expertise in GPU or accelerator architecture, including performance and power tradeoffs.
- Understand AI workload behavior and how it interacts with hardware design choices.
- Are comfortable engaging directly with silicon vendors at a technical architecture level.
- Have hands-on experience with benchmarking, profiling, and performance analysis.
- Can translate low-level hardware details into system-level and workload-level impact.
- Are equally comfortable in theory (architecture) and practice (measurement/validation).
- Thrive in environments where you bridge internal teams and external partners.
Preferred Skills
- Experience working with or at companies like (e.g NVIDIA & AMD) or similar silicon providers.
- Familiarity with AI accelerator stacks, including GPUs, custom ASICs, or emerging architectures.
- Experience with early silicon bring-up or hardware validation workflows.
- Strong understanding of memory systems (HBM, DDR, cache hierarchies) and data movement bottlenecks.
- Experience with performance tooling, microbenchmarks, and workload characterization.
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 we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
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