Systems Software Engineer, Autonomous Systems Mapping - New College Graduate 2026

at Nvidia

📍 Santa Clara, United States

USD 124,000-241,500 per year

JUNIOR MIDDLE

✅ On-site

Used Tools & Technologies

Not specified

Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

Linux @ 3 Python @ 2 Statistics @ 6 Algorithms @ 3 Data Structures @ 6 Machine Learning @ 3 Graph Theory @ 6 Networking @ 3 Data Analysis @ 3 AI @ 3 Computer Vision @ 3 Robotics @ 3

Details

The DeepMap team at NVIDIA is delivering one of the fundamental technologies for the autonomous software stack and beyond. The team works on data collection, data analysis, map creation and map consumption software components for NVIDIA driving/mobile platforms and backend processing systems. The team provides algorithms to analyze spatial and temporal properties of GPS/IMU sensor data, tools to analyze lidar/camera/radar data, tools to store and upload large amounts of sensor data for map creation, and software to access and visualize 2D navigational maps and 3D HDMaps for experiments and benchmarking.

Responsibilities

Conduct research on algorithms and techniques to do trajectory data mining and road network topology and geometry analysis.
Build proof-of-concept tools to enhance the NVMap map building pipeline using researched techniques.
Perform data analysis and data preparation to benchmark researched topics.

Requirements

MS/PhD in Computer Science/Engineering or Electrical Engineering (or equivalent experience).
Proficient in C/C++ and familiar with Python.
Solid understanding of computer architecture, operating systems, and computer networking fundamentals.
Strong background 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).

Compensation & Benefits

Base salary ranges (USD): Level 2: 124,000 – 195,500; Level 3: 152,000 – 241,500.
Eligible for equity and company benefits (link provided in original posting).

Additional information

Applications accepted at least until July 14, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is an equal opportunity employer and includes an inclusive workplace statement in the posting.