NVIDIA is seeking a Senior Software Engineer to join its Autonomous Vehicle Map Team, focusing on developing production-grade on-vehicle map integration solutions. This role involves enabling autonomous vehicles to utilize SD/HD maps in real time for improved performance on frequently driven routes. The ideal candidate will have a strong background in embedded software and real-time systems, particularly in C++ performance optimization. This position offers an opportunity to contribute to the advancement of intelligent systems for self-driving cars.

• BS or MS degree in Computer Science, Software Engineering, or related field (or equivalent experience)
• 8+ years of proven experience developing in-vehicle firmware, time-sensitive platforms, or map-to-vehicle integration for autonomous driving
• Strong C++ programming skills for performance-critical embedded systems, memory optimization, and real-time constraints
• Experience with embedded platforms and real-time operating environments (NVIDIA Orin, Xavier, QNX, or similar)
• Understanding of autonomous vehicle software architectures and how maps are consumed by localization, perception, and planning systems
• Strong Python programming skills for tooling, testing, and automation
• Experience debugging and profiling performance on embedded hardware with memory and timing constraints
• Experience with Protocol Buffers and efficient data serialization for embedded systems

• Build C++ modules for in-vehicle map connection with perception, localization, and planning systems to enable real-time map consumption and validate map impact on driving performance
• Work with embedded systems and real-time constraints to optimize map parsing, query APIs, and memory management on NVIDIA platforms
• Design and implement map query interfaces that provide low latency for lane geometry, routing graphs, and spatial lookups consumed by autonomous driving software
• Integrate cloud-generated maps with on-vehicle stacks to enable end-to-end validation of map quality and measure driving performance impact
• Develop Python and C++ tools for on-vehicle testing, map data validation, debugging, and performance profiling
• Collaborate with perception, planning, and localization teams to understand requirements, build APIs, and ensure maps are accurately accessed by autonomous driving software
• Support cloud mapping pipelines (Airflow, Python) for map generation, quality detection, and validation workflows as needed

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.