- A PhD with 4+ years, an MS with 6+ years, or a BS (or equivalent experience) with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field.
- Strong proficiency in modern C++ and extensive experience designing and developing performance-sensitive software.
- Demonstrated ability to profile and optimize CPU utilization, memory consumption, and end-to-end latency.
- A strong understanding of data structures, algorithms, memory management, concurrency, and their impact on software performance.
- Experience using profiling tools and benchmarks to diagnose bottlenecks and validate improvements under representative workloads.
- A systematic approach to debugging and optimization, with a focus on preserving correctness and reliability.
- Strong communication skills and the ability to collaborate effectively across algorithm, software, and platform teams.
Ways to stand out from the crowd
- Experience optimizing real-time software on embedded or automotive platforms.
- Familiarity with context fusion, map fusion, localization, perception pipelines, state estimation, or related ADAS and autonomous driving systems.
- Experience with cache-aware data layouts, memory allocation optimization, multithreading, or SIMD/vectorization.
- Experience designing efficient APIs and reusable software frameworks for complex systems.
- A track record of delivering measurable performance improvements in production software while preserving correctness, output quality, and reliability.
#AutonomousVehicles
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 7, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.