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Principal Software Engineer, Mapping - Autonomous Vehicles

NVIDIA· Engineer, Sys SW
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Hybrid (US)$272k - $431.3kfull-timePosted 3mo ago

About the role

Role focused on building planet-scale maps for self-driving technology using crowdsourced data. Responsibilities include 3D reconstruction, pose estimation, map fusion, and large-scale systems; collaborating with perception, localization, and infrastructure teams to deliver reliable map products for autonomous driving.

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.

Qualifications

  • 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.
  • 15+ years of experience
  • BS, MS, or PhD in Computer Science, Robotics, Electrical Engineering, Mathematics, or a related technical field (or equivalent experience).

Skills

Required:C++ production-grade software development3D computer visionLarge-scale sensor data processing

Benefits

  • Equity
  • comprehensive benefits package
  • NVIDIA benefits portfolio accessible at www.nvidiabenefits.com/
Last updated Sep 4, 2026. Interested? Apply on the company site.

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