OpenAI
System Performance Engineer, Consumer Devices
About this role
OpenAI is hiring a System Performance Engineer to optimize embedded AI hardware products by profiling, benchmarking, and tuning performance across operating systems, graphics, and vision components. You'll establish performance standards, develop measurement frameworks, and collaborate with cross-functional teams to ensure products remain responsive and efficient from development through real-world deployment.
What you'll do
- Develop system benchmarks and methodologies to evaluate end-to-end product performance
- Profile and analyze performance across key use cases using custom and industry-standard tools
- Identify bottlenecks and drive optimizations across the software stack with engineering teams
- Define product KPIs and establish measurement frameworks for launch readiness
- Monitor metrics including responsiveness, memory usage, boot time, stability, and thermal behavior
- Investigate field performance regressions and drive data-driven resolution
What they're looking for
- C/C++, Python, or Rust programming
- Deep embedded systems and operating systems fundamentals
- Profiling tools (Perfetto, GDB, LLDB, perf, ftrace, Instruments)
- Linux, Android, or iOS platform experience
- Real-time systems and latency/power/memory optimization
- Performance instrumentation and analytics frameworks
- Statistics and experimentation methodologies
- Cross-functional collaboration and communication
Benefits
- Hybrid work model (4 days office, 1 day remote)
- Based in San Francisco, CA
- Relocation assistance available for new hires
- Work on cutting-edge AI-powered consumer hardware products
- Collaborative environment with experts across multiple disciplines
- Equal opportunity employer
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OpenAI
OpenAI builds AI infrastructure and products, including large-scale data center campuses for AI computing and generative AI applications for enterprise customers. The company is hiring civil engineers, project engineers, electrical design engineers, data center R&D engineers, and AI deployment engineers to expand its infrastructure capabilities and help customers deploy AI solutions.
View all jobs at OpenAILikely interview questions
- Walk us through a time you shipped an embedded or high-performance system. What were the key performance constraints you optimized for, and how did you measure success?
- Describe your experience with profiling tools like Perfetto, perf, ftrace, or Instruments. Which have you used most, and how did you use them to identify and fix a performance bottleneck?