Senior System Software Engineer, Mapping - Autonomous Vehicles

Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world.

The NvMap team at NVIDIA’s Autonomous Driving Team is delivering one of the fundamental technologies for the autonomous software stack and beyond. We are looking for hardworking software engineers to work on data collection, data analysis, map creation and map consumption software components on NVIDIA’s current and upcoming driving/mobile platforms and backend processing systems.

What you'll be doing:

• Building software for autonomous mobile platforms, and backend data processing pipelines to do the following:

• Creating software to efficiently access and visualize 2D Navigational Map, 2D aerial images, or 3D semantic HDMaps to create enriched 2D/3D maps for training data of autonomous vehicle perception model training, and in-vehicle driving stack.

• Provide real-time and off-line data analysis tools of autonomous vehicle sensor data (e.g. lidar/camera/radar) to ensure sensor data integrity before map creation and map consumption.

• Analyze the spatial and temporal properties of ground truth location and other vehicle sensor data to ensure successful map creation.

• Building tools to efficiently store and upload large amounts of sensor and 3rd party map data for map creation, or update.

What we need to see:

• 5+ years of working experience.

• BS, MS, or PhD in Computer Science or related field or equivalent experience.

• Proficient in C/C++, familiar with Python/SQL is a plus.

• Solid understanding of computer architecture, operating systems, computer networking principles and multi-threaded/multi-process programming

• Understanding of how to write performant software (with efficient memory/cpu/gpu/inter-processor-network utilization)

• Proficient in algorithms (e.g. graph theory, combinatorial & discrete algorithms), data structures and basic statistics.

• Ability to drive a project from conception to completion and deliver to internal or external customers.

• Experience in using a disciplined approach to software engineering (requirements analysis, design doc, unit testing and integration testing and benchmarking) to drive development of scalable software products.

Ways to stand out from the crowd:

• Experience in building map consumption software (e.g. localization or planning/routing) for autonomous vehicles or robotics. Background with computer vision, computational geometry, robotics, and machine learning algorithms.

• Experience with LLM/ML techniques for map data analytics and enrichments.

• Experience with state-of-the-art autonomous vehicle or robotics sensors (e.g. camera, lidar, radar, GPS)

• Background with runtime optimization on Linux/Unix-like real-time operation systems; Experience with edge computing platforms (e.g. automotive)

• Experience in data analysis and visualization in Python or other Javascript libraries, or etc, is a plus

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 5, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.