System Performance Engineer, Consumer Devices
Company websiteopenai.com (OpenAI, opens in new tab)
Base salary $347K to $385K
Employer-published annual base salary, USD. Advertised base range in San Francisco, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSan Francisco, CA
- WorkplaceHybrid
- Status at last checkSource accepting applications when checked
- Last checked (2 h ago) · observed since
About this job
About the Team
OpenAI's mission is to ensure that artificial general intelligence benefits all of humanity. The Consumer Devices team is building a new generation of AI-powered products that seamlessly integrate hardware and software to create intuitive, transformative experiences. We bring together experts across embedded systems, machine learning, hardware, design, and product engineering to develop products at the intersection of AI and consumer technology.
About the Role
OpenAI is seeking a System Performance Engineer to profile, benchmark, and optimize performance across our embedded hardware products. In this role, you will work across operating systems, applications, camera and vision, graphics, and platform teams to define product KPIs, build performance tooling, and drive optimizations from early lab characterization through product launch and real-world usage. You will help establish the performance standards that shape the user experience of our products, ensuring they remain responsive, efficient, and reliable throughout their lifecycle.
This role requires deep expertise in embedded or high-performance systems, strong operating systems fundamentals, and hands-on experience debugging under tight latency, power, and memory constraints.
This role is based in San Francisco, CA. We use a hybrid work model of four days per week in the office and one day working remotely. Relocation assistance is available for new hires.
In this role, you will:
Develop system performance benchmarks, methodologies, and policies to evaluate end-to-end product behavior.
Profile and analyze performance across key product use cases and workloads using custom and industry-standard profiling tools.
Partner closely with engineering teams to identify bottlenecks and drive performance optimizations across the software stack.
Define high-level product KPIs and establish measurement frameworks to measure launch readiness and monitor performance throughout the product lifecycle.
Measure, report, and track metrics including system responsiveness, memory utilization, cold boot performance, long-term stability, and behavior under constrained conditions such as thermal limits and low battery states.
Investigate field performance regressions and drive issues to resolution using data-driven analysis.
You might thrive in this role if you have:
Deep experience shipping embedded or high-performance systems on Linux, Android, or iOS devices.
Strong proficiency in C/C++, Python, or Rust, with exceptional operating systems fundamentals, including process management, IPC, drivers, interrupts, power management, media frameworks, graphics, filesystems, and networking.
A proven track record shipping real-time systems operating under tight latency, power, and memory constraints.
Expertise with profiling and debugging tools such as Perfetto, GDB, LLDB, perf, ftrace, or Instruments.
Experience building instrumentation, analytics, and performance tuning frameworks.
Preferred Qualifications
Familiarity with statistics, experimentation methodologies, or data science concepts.
Experience collaborating cross-functionally with embedded software, systems, camera and vision, audio, graphics, applications, and hardware teams.
Experience defining product KPIs, benchmarking methodologies, and launch readiness metrics for hardware products.
Experience investigating field performance regressions and driving fixes through cross-functional collaboration.
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.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
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.
Source: OpenAI on Ashby · View original posting (opens in new tab)
This listingSystem Performance Engineer, Consumer Devices$347K to $385K
Founding Full Stack Software Engineer, Legal$347K to $445K
Full Stack Software Engineer, ChatGPT Finances$347K to $385K
Performance Modeling Engineer$347K to $445K
Software Engineer, ChatGPT Shopping$347K to $445K
Rosalind Life Sciences Product Manager$347K to $468K
Software Engineer, ChatGPT Infrastructure$347K to $445K
Chart as a table
| Role | Published base |
|---|---|
| System Performance Engineer, Consumer Devices (this listing) | $347K - $385K |
| Founding Full Stack Software Engineer, Legal | $347K - $445K |
| Full Stack Software Engineer, ChatGPT Finances | $347K - $385K |
| Performance Modeling Engineer | $347K - $445K |
| Software Engineer, ChatGPT Shopping | $347K - $445K |
| Rosalind Life Sciences Product Manager | $347K - $468K |
| Software Engineer, ChatGPT Infrastructure | $347K - $445K |
Observed changes
- Began meeting the published-salary criteria
- First observed on the employer's board
- Observed since
- Employer-stated posting date
- 2026-06-15
Where this pay comes from
Location as the employer wrote it: San Francisco
USD 347,000 – 385,000 · 1 YEAR · Salary
- Method
- Structured pay field published by the employer
- Checked
- Rule set
- us-base-v2
The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
