Senior Software Engineer, Mapping - Autonomous Vehicles

About the role

NVIDIA seeks a skilled individual to contribute to the development of planet-scale maps supporting self-driving technology. This role involves computer vision, geometry, pose estimation, sensor fusion, and large-scale systems.

Responsibilities

• Build scalable mapping systems using crowdsourced perception data and multi-camera video from millions of vehicles.
• Develop 3D reconstruction, structure-from-motion, pose estimation, and multi-view geometry algorithms for large-scale road scene understanding.
• Create map fusion and change-detection methods that can handle noisy observations, dynamic scenes, imperfect localization, and global consistency constraints.
• Build C++ production systems and offline pipelines that transform fleet data into reliable map products used in self-driving and driver support technologies.
• Invent evaluation methods to measure map accuracy, freshness, coverage, consistency, and downstream autonomy impact.
• Develop visualization, debugging, and triage tools to understand reconstruction quality, map issues, localization errors, and fleet data gaps.
• Collaborate with perception, localization, simulation, planning, and infrastructure teams to integrate crowdsourced maps into autonomous driving systems.
• Continuously improve the scale, fidelity, freshness, and reliability of maps built from real-world fleet data.

Requirements

• 5+ years of experience and a degree in Computer Science, Robotics, Electrical Engineering, Mathematics, or a related technical field (or equivalent experience).
• Strong programming skills in C++ and experience building production-quality software systems.
• A solid foundation in 3D computer vision, 3D geometry, multi-view geometry, structure from motion, SLAM, pose estimation, or related areas.
• Experience working with large-scale sensor data, including camera video, perception outputs, vehicle poses, GPS/IMU signals, lidar, radar, or map data.
• The ability to reason about coordinate frames, calibration, uncertainty, optimization, geometric consistency, and error propagation.
• Experience crafting algorithms that are robust to noisy real-world data, dynamic objects, occlusions, incomplete coverage, and long-tail failures.
• Strong debugging and analytical skills, including the ability to inspect data visually, build metrics, and connect system-level failures to algorithmic root causes.

Qualifications

• Experience building maps, localization systems, 3D reconstruction systems, perception systems, or sensor-fusion pipelines for autonomous driving or advanced driver assistance systems.
• Background in large-scale mapping, crowdsourced map construction, map fusion, change detection, map freshness, road topology, lane geometry, or semantic map generation.

Skills

• Experience with computer vision and 3D geometry.
• Proficiency in C++ and software engineering principles.
• Knowledge of SLAM (Simultaneous Localization and Mapping) techniques.
• Experience with large-scale sensor data processing.
• Ability to develop and evaluate robust algorithms for real-world applications.
• Strong problem-solving and analytical skills.

Benefits

Widely considered one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family here. 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 - $241,500 for Level 3, and $184,000 - $287,500 for Level 4. You will also be eligible for equity and benefits.

Pay

$152,000 - $241,500 for Level 3
$184,000 - $287,500 for Level 4

Schedule

NVIDIA operates on a standard 9-to-5 schedule.

Equal Opportunity Employer

NVIDIA is committed to fostering an inclusive 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.