Senior Mapping Engineer for Autonomous Vehicle Maps

NVIDIA Corporation; Santa Clara (CA); On-site; USD 272,000 - 431,000; Full time

Benefits offered by this job

Equity

Job summary

NVIDIA is seeking a senior mapping/vision specialist to build planet-scale maps for autonomous driving using crowdsourced data from millions of vehicles. You will design and optimize 3D reconstruction, pose estimation, and multi-view geometry algorithms for large-scale road understanding.

You will work with perception, localization, simulation, planning, and infrastructure teams to deliver reliable map products and integration into driving systems. Equity and benefits are part of the package.

Qualifications

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

Responsibilities

• Build scalable mapping systems using crowdsourced perception data and multi-camera video collected from a vast number 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.

Skills

C++ production software

3D computer vision

Multi-view geometry

SLAM / pose estimation

Large-scale sensor data

Debugging / analytics

15+ years experience

Education

BS/MS/PhD in CS/Robotics/EE

Job description

NVIDIA is seeking a senior mapping/vision specialist to build planet-scale maps for autonomous driving using crowdsourced data from millions of vehicles. You will design and optimize 3D reconstruction, pose estimation, and multi-view geometry algorithms for large-scale road understanding.

You will work with perception, localization, simulation, planning, and infrastructure teams to deliver reliable map products and integration into driving systems. Equity and benefits are part of the package.