Principal Software Engineer – Mapping, Autonomous Vehicles

Full-stack EngineerSoftware EngineerFull TimeRemoteLeadTeam 10,001+Since 1993H1B SponsorCompany SiteLinkedIn

Location

California

Posted

1 day ago

Salary

$272K - $431.3K / year

Seniority

Lead

Postgraduate Degree15 yrs expEnglish

Job Description

Principal Software Engineer – Mapping, Autonomous Vehicles

NVIDIA

• 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

Job Requirements

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

Benefits

  • Equity and benefits
  • Comprehensive benefits package

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