NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We seek a passionate team member to build planet-scale maps supporting self-driving technology using crowdsourced data from millions of cars around the world. The role involves computer vision, geometry, pose estimation, sensor fusion, and large-scale systems. You will transform sparse perception signals and dense video clips into accurate and fresh maps. Our work helps autonomous vehicles understand the road with high-quality map priors. These maps improve driving performance, safety, and coverage. You will work with a diverse team of engineers in mapping, perception, reconstruction, localization, and autonomous driving. Together, we will deliver impact to customers worldwide.
What you will be doing:
Build scalable mapping systems using crowdsourced perception data and multi-camera video from millions 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.
What we need to see:
5+ years of experience and BS, MS, or PhD in Computer Science, Robotics, Electrical Engineering, Mathematics, or a related technical field (or equivalent experience).
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.
Ways to stand out from the crowd:
Experience building maps, localization systems, 3D reconstruction systems, perception systems, or sensor-fusion pipelines for autonomous driving or advanced driver assistance systems.
Background in large-scale mapping, crowdsourced map construction, map fusion, change detection, map freshness, road topology, lane geometry, or semantic map generation.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- 5+ years of experience and BS, MS, or PhD in Computer Science, Robotics, Electrical Engineering, Mathematics, or related field (or equivalent experience).
- 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, or pose estimation.
- Experience working with large-scale sensor data (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 robust to noisy real-world data, dynamic objects, occlusions, incomplete coverage, and long-tail failures.
- Strong debugging and analytical skills, including visual data inspection, metric design, and root-cause analysis.
- Experience building maps, localization systems, 3D reconstruction systems, perception systems, or sensor-fusion pipelines for autonomous driving or ADAS.
- Background in large-scale mapping, crowdsourced map construction, map fusion, change detection, map freshness, road topology, lane geometry, or semantic map generation.
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
