System Performance Engineer, Consumer Devices
Senior Performance Engineer · Senior · Full Time
Opens OpenAI's application page
Role
What you'll do.
OpenAI seeks a System Performance Engineer to profile, benchmark, and optimize performance across embedded hardware products for consumer devices powered by artificial intelligence. This role combines deep embedded systems expertise with performance engineering rigor, requiring proficiency in C/C++, Python, or Rust alongside hands-on debugging experience under tight latency, power, and memory constraints. You will establish performance standards, build diagnostic tooling, and drive optimizations across operating systems, applications, graphics, and platform teams from lab characterization through real-world product lifecycle management.
Responsibilities
- Performance Benchmarking and Methodology Development: Develop comprehensive system performance benchmarks, methodologies, and policies to evaluate end-to-end product behavior across embedded hardware platforms. Establish repeatable measurement frameworks that define launch readiness criteria and align with business objectives for consumer AI-powered devices.
- System Performance Profiling and Analysis: Profile and analyze performance across key product use cases and workloads using custom profiling tools and industry-standard instrumentation frameworks such as Perfetto, perf, ftrace, and Instruments. Generate actionable insights from performance data to identify optimization opportunities.
- Cross-functional Performance Optimization: Partner closely with embedded software, systems, camera and vision, graphics, applications, and hardware engineering teams to identify bottlenecks throughout the software stack. Drive performance optimizations across operating systems, media frameworks, graphics subsystems, and platform components.
- Key Performance Indicator Definition and Tracking: Define high-level product KPIs including system responsiveness, cold boot performance, memory utilization, and thermal behavior. Establish measurement frameworks to quantify product performance, track regressions, and monitor compliance with performance targets throughout the product lifecycle.
- Metric Collection and Performance Monitoring: Measure, report, and track critical performance metrics including system latency, memory utilization, power consumption, long-term stability, and behavior under constrained conditions such as thermal limits and low battery states. Develop instrumentation and telemetry systems to gather real-world performance data.
- Field Performance Regression Investigation: Investigate field performance regressions post-launch using data-driven analysis techniques. Collaborate with engineering teams to diagnose root causes and drive issues to resolution, utilizing debugging tools such as GDB, LLDB, and platform-specific diagnostics.
Qualifications
What we look for.
Technical
Embedded and High-Performance Systems Development
Deep experience shipping embedded or high-performance systems on Linux, Android, or iOS devices, with demonstrated expertise in real-time systems operating under tight latency, power, and memory constraints. Proven ability to optimize systems for consumer hardware platforms.
Operating Systems Fundamentals
Exceptional understanding of OS concepts including process management, inter-process communication (IPC), device drivers, interrupt handling, power management, memory management, filesystems, networking stacks, and kernel-level optimization techniques.
Programming Language Proficiency
Strong proficiency in C/C++, Python, or Rust for systems-level programming, performance instrumentation, and diagnostic tool development. Ability to write efficient code and leverage language-specific profiling and debugging capabilities.
Performance Profiling and Debugging Tools
Expertise with advanced profiling and debugging tools including Perfetto, GDB, LLDB, perf, ftrace, and Apple Instruments. Proficiency in using these tools to trace execution flow, identify performance bottlenecks, and validate optimization effectiveness.
Instrumentation and Analytics Framework Development
Proven experience building custom instrumentation, analytics, and performance tuning frameworks. Ability to design telemetry systems that capture relevant performance metrics and integrate with continuous monitoring infrastructure.
Education
Computer Science or Engineering Foundation
Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent industry experience. Strong theoretical foundation in systems architecture and performance analysis principles.
Experience
Embedded Systems Shipping Experience
Minimum 5-7 years of professional experience shipping production embedded or mobile systems, with multiple shipped consumer products or infrastructure components. Track record of delivering performance improvements in resource-constrained environments.
Performance Engineering and Optimization
Extensive hands-on experience debugging complex performance issues under tight latency and power budgets. Demonstrated ability to identify bottlenecks, implement optimizations, and validate improvements through rigorous measurement.
Cross-functional Collaboration
History of effectively collaborating with diverse engineering teams including hardware, software, graphics, camera, and systems engineers. Experience translating performance requirements into actionable engineering tasks and driving adoption of performance best practices.
Skills
Required
C/C++ Systems Programming
Production-grade proficiency in C and C++ for low-level systems code, performance-critical applications, and custom tooling development.
Python for Tools and Automation
Strong Python skills for developing performance testing scripts, data analysis tools, and automation frameworks that integrate with build and CI/CD pipelines.
Embedded Linux/Android/iOS Development
Deep familiarity with embedded Linux kernel configuration, Android system architecture, or iOS platform internals. Understanding of boot processes, firmware loading, and hardware abstraction layers.
Performance Analysis and Profiling
Expertise in using CPU profiling, memory profiling, trace analysis, and real-time performance monitoring tools. Ability to interpret performance data and identify optimization opportunities.
System Architecture and Design
Strong understanding of system-level architecture including CPU caches, memory hierarchies, thermal management, power distribution, and interrupt handling.
Preferred
Rust for Systems Programming
Nice to haveExperience with Rust for systems-level development, particularly in memory-safe implementations of performance-critical code or embedded applications.
Statistics and Experimentation
Nice to haveFamiliarity with statistical methods, A/B testing, controlled experimentation, and data science concepts for validating performance improvements and ensuring reproducibility.
Graphics and Media Framework Optimization
Nice to haveExperience optimizing graphics pipelines, media encoding/decoding, camera processing, or display subsystems. Understanding of GPU architecture and graphics API integration.
Hardware Product Development
Nice to havePrior experience bringing hardware products to market, including participation in design reviews, prototype validation, and managing performance across hardware-software integration challenges.
Consumer Device Optimization
Nice to haveBackground optimizing consumer electronics including smartphones, tablets, wearables, or IoT devices for power efficiency, thermal performance, and user-perceived responsiveness.
Real-time Systems and RTOS
Nice to haveExperience with real-time operating systems, deterministic scheduling, priority-based task management, and latency-critical applications.
Data Analysis and Visualization
Nice to haveProficiency with data visualization tools, statistical analysis packages, and time-series analysis for communicating performance insights to stakeholders.
Tech stack
Languages
Frameworks
Databases
Tools
Other
Compensation
Pay and benefits.
Base·USD 293,000 – 325,000
Equity·Stock options
Benefits
Equity Compensation
Competitive stock options granting ownership stake in OpenAI and alignment with company success. Typical equity packages for senior technical roles reflect company valuation and role impact.
Comprehensive Health Insurance
Medical, dental, and vision coverage options with competitive premiums. OpenAI offers multiple plan tiers to accommodate diverse healthcare needs and preferences.
401(k) Retirement Planning
401(k) retirement savings plan with company matching contributions, enabling long-term financial security and tax-advantaged retirement planning.
Professional Development
Access to technical conferences, training resources, and educational opportunities to maintain cutting-edge skills and stay current with emerging technologies in AI and systems engineering.
Flexible Time Off
Unlimited or generous paid time off policy enabling work-life balance and recovery periods between high-intensity project phases.
Relocation Assistance
Comprehensive relocation support for new hires relocating to San Francisco Bay Area, including moving expenses and settlement assistance.
Hybrid Work Arrangement
Flexible hybrid work model with four days in-office and one day remote, balancing collaborative team interaction with individual focus time for deep technical work.
Mental Health and Wellness
Employee assistance programs, mental health counseling, gym membership subsidies, and wellness initiatives supporting overall health and well-being.
Process
Interview steps.
- 01
Initial Screening and Recruiter Conversation
Phone or video call with OpenAI recruiter to discuss your background, embedded systems experience, and familiarity with performance engineering challenges. This conversation confirms mutual fit and clarifies role expectations.
- 02
Technical Systems Design Interview
Deep-dive conversation with senior performance engineer covering system architecture fundamentals, embedded platform knowledge, and approach to performance optimization problems. Expect discussions about trade-offs between latency, power, and memory.
- 03
Performance Debugging Exercise
Technical assessment involving a simulated performance optimization scenario. You may analyze synthetic performance traces, propose optimization strategies, or discuss profiling tool usage and data interpretation techniques.
- 04
Profiling Tools and Instrumentation Assessment
Evaluation of hands-on expertise with Perfetto, perf, ftrace, GDB, LLDB, or similar tools. Discussion of past experiences using these tools to solve real-world performance problems in production systems.
- 05
Cross-functional Collaboration Interview
Conversation with representatives from hardware, software, graphics, or systems teams to evaluate ability to communicate across disciplines, influence without authority, and drive collaborative performance optimization efforts.
- 06
Product and Impact Discussion
Discussion with hiring manager about your vision for establishing performance standards in consumer AI devices, understanding of product lifecycle performance management, and motivation to impact user experience at scale.
- 07
Final Executive Conversation
Optional final conversation with senior leadership or technical fellow to discuss your technical vision, potential long-term impact at OpenAI, and alignment with company mission regarding AI and consumer technology.
Full posting
Original listing.
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.
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We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
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