OpenAI Logo

OpenAI

System Performance Engineer, Consumer Devices

Reposted 2 Months Ago
Be an Early Applicant
Hybrid
San Francisco, CA, USA
347K-385K Hourly
Senior level
Hybrid
San Francisco, CA, USA
347K-385K Hourly
Senior level
Profile, benchmark, and optimize embedded hardware product performance across OS, application, camera/vision, graphics, and platform stacks. Build benchmarking methodologies and tooling, define KPIs and measurement frameworks, investigate field regressions, and partner with cross-functional teams to drive performance improvements from lab characterization through product launch and real-world usage.
The summary above was generated by AI
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.

HQ

OpenAI San Francisco, California, USA Office

San Francisco, CA, United States

Similar Jobs

9 Hours Ago
In-Office
190K-110K Annually
Junior
190K-110K Annually
Junior
Aerospace
Own full-cycle recruiting for engineering, technical, and business roles, including sourcing, candidate screening, interview coordination, offer support, pipeline reporting, and candidate communications. Partner with hiring managers to define requirements and hiring strategies, build passive-candidate pipelines, and improve recruiting processes. The role is fully onsite in Torrance, California and requires U.S. citizenship.
Top Skills: Applicant Tracking Systems (Ats)GreenhouseLinkedin Recruiter
9 Hours Ago
In-Office
180K-250K Annually
Expert/Leader
180K-250K Annually
Expert/Leader
Aerospace
Lead end-to-end flight software development for autonomous spacecraft, including mission operations tools, ground services, embedded vehicle software, telemetry, commanding, testing, simulation, and flight readiness. Collaborate with avionics, propulsion, GNC, and systems teams to define interfaces and data models. Support CI/CD, software- and hardware-in-the-loop testing, environmental testing, and flight campaigns in a fast-moving, on-site aerospace startup environment.
Top Skills: Ci/CdCloud-Based Ground SystemsCommandingDevOpsEmbedded SoftwareFault ToleranceHardware-In-The-Loop TestingMission Control SystemsMission Operations SoftwareReal-Time SystemsSafety-Critical SystemsSimulation EnvironmentsSoftware-In-The-Loop TestingTelemetryVisualization
Yesterday
Easy Apply
Remote or Hybrid
United States
Easy Apply
100K-166K Annually
Senior level
100K-166K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Manage enterprise customer implementations of Samsara’s IoT platform, from deployment planning through adoption and value realization. Build launch roadmaps, track implementation and account health, train executives and end users, resolve challenges, and coordinate with Sales, Support, Sales Engineering, Product, and other teams. Mentor Customer Success and Support colleagues while managing multiple customer engagements and strengthening long-term customer relationships.
Top Skills: Enterprise SoftwareIotSaaS

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account