Senior System Software Engineer— Autonomous Driving Context Fusion

NVIDIA•Santa Clara, CA

5d•$184,000 - $356,500

About The Position

NVIDIA is hiring a Senior System Software Engineer to join its DRIVE Road Structure / Online Mapping / Context Fusion team. The role focuses on improving the efficiency and real-time performance of software that combines perception, map, and localization data to build a consistent model of the driving environment. The engineer will work with algorithm and platform engineers to identify bottlenecks, optimize software architecture and data flows, and deliver measurable improvements in CPU utilization, memory usage, and latency on automotive platforms. The work supports reliable operation of advanced autonomous driving capabilities within demanding compute and timing constraints.

Requirements

PhD with at least 4 years, MS with at least 6 years, or BS (or equivalent experience) with at least 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.
Strong understanding of data structures, algorithms, memory management, and concurrency, including their impact on software performance.
Experience using profiling tools and benchmarks to diagnose bottlenecks and validate improvements under representative workloads.
Systematic approach to debugging and optimization, with a focus on preserving correctness and reliability.
Strong communication skills and ability to collaborate effectively across algorithm, software, and platform teams.

Nice To Haves

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.
Track record of delivering measurable performance improvements in production software while preserving correctness, output quality, and reliability.

Responsibilities

Optimize context fusion software that integrates perception, map, and localization data to represent the driving environment.
Design and refine software architecture, interfaces, and data flows to meet CPU, memory, and latency requirements on automotive platforms.
Profile software pipelines, identify performance bottlenecks, and implement improvements supported by reproducible measurements.
Collaborate with algorithm teams to improve computational efficiency while preserving algorithm behavior, output quality, and correctness.
Develop benchmarks and performance regression tests to track improvements and prevent regressions.
Work with perception, mapping, localization, and platform engineers to resolve system-level performance issues.
Write reliable, maintainable code and contribute to code reviews and testing while meeting autonomous driving software safety and quality expectations.