NVIDIA is seeking a passionate team member to build planet-scale maps that support self-driving technology using crowdsourced data from millions of vehicles. The role focuses on computer vision, geometry, pose estimation, and sensor fusion to create accurate maps that enhance the performance and safety of autonomous vehicles. You will collaborate with a diverse team of engineers to deliver impactful solutions for customers worldwide. This position offers the opportunity to work on cutting-edge technology in a supportive and innovative environment.

• 5+ years of experience and a BS, MS, or PhD in Computer Science, Robotics, Electrical Engineering, Mathematics, or a related technical field.
• Strong programming skills in C++ and experience building production-quality software systems.
• 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.
• 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.

• 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.
• Build 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.
• Work closely with perception, localization, simulation, planning, and infrastructure teams to integrate crowdsourced maps into autonomous driving systems.
• Relentlessly improve the scale, fidelity, freshness, and reliability of maps built from real-world fleet data.

• 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.