Principal Software Engineer, Mapping - Autonomous Vehicles

Nvidia

Remote

Quick summary

Work type: Remote
Location: Santa Clara, CA
Salary: $272,000–$431,250 / yr
Posted: 3 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $214k

This role $352k

$136k most similar roles pay here $463k

This role pays more than 99% of similar roles. Most pay $183,125–$244,156 — the shaded band above. At the midpoint, this role pays about $352k versus about $214k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 963 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 952 roles with salary data.

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At a glance

TL;DR · Principal Software Engineer, Mapping - Autonomous Vehicles

Role Posting Log in to save

Join our dynamic team as a Senior Mapping Engineer to build scalable systems that transform crowdsourced perception data and multi-camera video from millions of vehicles into high-quality maps for self-driving technology. You will develop advanced 3D reconstruction algorithms, pose estimation techniques, and robust change-detection methods to ensure global consistency in map updates. Utilizing C++, you’ll create production pipelines that process fleet data into reliable map products used in autonomous driving systems. Collaborate closely with perception, localization, and infrastructure teams to integrate these maps seamlessly. With a strong background in 3D computer vision and large-scale sensor data handling, you will enhance the scale, fidelity, and reliability of real-world fleet data-driven maps, contributing significantly to safer and more efficient self-driving vehicles.

Skills

C++ 3D_Computer_Vision Multi_View_Geometry SLAM Pose_Estimation Large_Scale_Data_Processing Sensor_Fusion Coordinate_Frames Uncertainty_Optimization Algorithm_Robustness Debugging_Analysis Visualization_Tools Autonomous_Driving_Systems Crowdsourced_Maps Map_Fusion Change_Detection Semantic_Map_Generation

What you'll do

Build scalable mapping systems using crowdsourced data from millions of vehicles.
Develop 3D reconstruction and pose estimation algorithms for large-scale scenes.
Create map fusion methods to handle noisy observations and dynamic scenes.
Transform fleet data into reliable map products used in self-driving technologies.
Invent evaluation methods to measure map accuracy, freshness, and downstream impact.
Develop tools to understand reconstruction quality, map issues, and localization errors.

What we're looking for

Strong C++ programming skills and experience building production-quality software systems.
Expertise in 3D computer vision, multi-view geometry, SLAM, pose estimation, and related areas.
Experience working with large-scale sensor data from cameras, lidar, radar, GPS/IMU signals.
Ability to reason about coordinate frames, calibration, uncertainty, optimization, geometric consistency.
Background in building maps, localization systems, 3D reconstruction, perception, or sensor-fusion pipelines for autonomous driving.

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