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HomeCompaniesOpenAISystem Performance Engineer, Consumer Devices

System Performance Engineer, Consumer Devices

OpenAI · San Francisco · Hybrid · Active · Ashby

Job facts

FieldValue
CompanyOpenAI
TitleSystem Performance Engineer, Consumer Devices
Normalized title-
Department / teamConsumer Products / Consumer Products, Software
LocationSan Francisco, CA, United States
Work modelHybrid / Hybrid
Employment typeFull Time
Salary-
Statusactive
ATS providerAshby
Posted / first seen / 2026-06-16
Changed / last seen2026-06-16 / 2026-06-21

Related slices

PageWhat it containsOpen
Company jobsActive postings from OpenAI.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Ashby.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in San Francisco.Open
Department jobsActive postings in Consumer Products.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyOpenAI
Source0cd4593e-8bd2-40af-a7c0-80a50e54698b
ATS providerAshby

Description

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.

Full job record

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Org IDc221c23f-16cb-4ca1-b4cf-11e90e650a62
Source ID0cd4593e-8bd2-40af-a7c0-80a50e54698b
Board ID0cd4593e-8bd2-40af-a7c0-80a50e54698b
Providerashby
Provider Job Key3fe77c71-1f20-45b5-8291-62f0d2104989
TitleSystem Performance Engineer, Consumer Devices
Normalized Title
Statusactive
Activeyes
Location TextSan Francisco
DepartmentConsumer Products
TeamConsumer Products, Software
Employment Typefull_time
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionCA
CitySan Francisco
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.ashbyhq.com/openai/3fe77c71-1f20-45b5-8291-62f0d2104989
Apply URLhttps://jobs.ashbyhq.com/openai/3fe77c71-1f20-45b5-8291-62f0d2104989/application
First Seen At2026-06-16 09:06:41Z
Last Seen At2026-06-21 09:03:31Z
Last Checked At2026-06-21 09:03:31Z
Last Changed At2026-06-16 09:06:41Z
Inactive At
Source Posted At
Source Updated At
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Event Fields
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Parsed Structured
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Extensions
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Native Structured
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