The DeepMap team at NVIDIA is delivering one of the fundamental technologies for the autonomous software stack and beyond. We are looking for hardworking software engineers to work on data collection, data analysis, map creation and map consumption software components on NVIDIA’s current and upcoming driving/mobile platforms and backend processing systems. Our team provides algorithms to analyze the spatial and temporal properties of the GPS/IMU sensor data to ensure successful map creation. Our team also builds tools to analyze lidar/camera/radar data to ensure sensor data integrity before map creation. We build tools to efficiently store and upload large amounts of sensor data for map creation. We build software to efficiently access and visualize 2D Navigational Maps and 3D HDMaps for experiments and benchmarking in map data collection and map data consumption.
You will be working on one or more of the aforementioned projects which are in the midst of the key technology drivers in NVIDIA.
What you will be doing:
Conduct research on algorithms and techniques to do trajectory data mining & road network topology and geometry analysis
Build proof-of-concept tools to enhance NVMap map building pipeline using the above researched topics
Perform data analysis and data preparation to benchmark the researched topics
What we need to see:
MS/PhD in Computer Science/Engineering or Electrical Engineering (or equivalent experience).
Proficient in C/C++, and be familiar with python.
Solid understanding of computer architecture, operating systems and computer networking fundamentals.
We are looking for an engineer who is well versed in algorithms (e.g. graph theory, combinatorial & discrete algorithms), data structures and basic statistics.
Ways to stand out from the crowd:
Experience with computer vision, computational geometry, robotics, and machine learning algorithms.
Good understanding of Linux kernel internals and device drivers
Experience with state-of-the-art autonomous vehicle or robotics sensors (e.g. camera, lidar, radar, GPS).
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
- MS/PhD in Computer Science, Computer Engineering, or Electrical Engineering (or equivalent experience)
- Proficient in C/C++
- Familiar with Python
- Solid understanding of computer architecture, operating systems, and computer networking fundamentals
- Well versed in algorithms (graph theory, combinatorial & discrete algorithms), data structures, and basic statistics
- Experience with computer vision, computational geometry, robotics, or machine learning algorithms
- Understanding of Linux kernel internals and device drivers
- Experience with autonomous vehicle or robotics sensors (camera, lidar, radar, GPS)
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.”
