# Principal Software Engineer, Mapping - Autonomous Vehicles

**Company**: NVIDIA
**Location**: Santa Clara, CA
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Principal-Software-Engineer--Mapping---Autonomous-Vehicles_JR2020176?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_a704e7b9-e57

## Description

NVIDIA seeks a Principal Software Engineer to build planet-scale maps supporting self-driving technology using crowdsourced data from millions of cars. The role involves computer vision, geometry, pose estimation, sensor fusion, and large-scale systems.

The engineer will transform sparse perception signals and dense video clips into accurate and fresh maps. These maps help autonomous vehicles understand the road with high-quality map priors, improving driving performance, safety, and coverage.

**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 handle noisy observations, dynamic scenes, imperfect localization, and global consistency constraints.

- Develop 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.

- Improve the scale, fidelity, freshness, and reliability of maps built from real-world fleet data.

**Requirements:**

- 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).

**Benefits:**

- Highly competitive salaries.

- Comprehensive benefits package.

- Equity eligibility.

The application deadline for this job is June 30, 2026.

## Skills

### Required
- C++
- 3D computer vision
- 3D geometry
- multi-view geometry
- structure from motion
- SLAM
- pose estimation
- large-scale sensor data
- algorithm development

### Nice to have
- Experience building maps
- localization systems
- 3D reconstruction systems
- perception systems
- sensor-fusion pipelines for autonomous driving
- crowdsourced map construction
- map fusion
- change detection
- map freshness
- road topology
- lane geometry
- semantic map generation

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Principal-Software-Engineer--Mapping---Autonomous-Vehicles_JR2020176?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)