We are looking for a passionate team member to contribute to our autonomous driving product! This role will support the development of our existing GeoTrack tool, conduct data analysis and route generation to enable global scaling, quantify map preparation metrics in detail, and help us build an intuitive Map Dashboard. You will collaborate closely with engineers across SIT, NVMap PM, V&V and other teams to deliver impact to our customers around the world!
What you’ll be doing:
Align with the PM team to clarify statistical requirements for various business scenarios
Coordinate with Infra and Data teams to understand the data scope supported by our current databases
Partner with front-end and back-end engineers to develop algorithms and data analysis pipelines for test route generation
Sync up with the scaling project team to capture the underlying core requirements behind the dashboard
Continuously iterate and optimize algorithm performance and runtime speed
Collaborate with scientists and developers across multiple teams
What we need to see:
MS, or PhD degree or equivalent experience in Engineering or Computer Science with a focus on Autonomous Driving, Map, or related field.
5+ years of hands-on experience with mapping, navigation, SD map, HD map, SD+ and data analysis technologies
Solid theoretical foundations in computer vision, autonomous driving and mapping systems
Ways to stand out from the crowd:
Experience in autonomous driving: evidence of practical experiments and projects within the autonomous driving domain, showcasing your ability to apply algorithms to solve sophisticated problems in this field.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Skills Required
- MS or PhD in Engineering or Computer Science with focus on Autonomous Driving, Mapping, or related field (or equivalent experience)
- 5+ years hands-on experience with mapping, navigation, SD map, HD map, SD+ and data analysis technologies
- Solid theoretical foundations in computer vision, autonomous driving, and mapping systems
- Practical autonomous driving projects or experiments demonstrating applied algorithm work
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.”
