Software Engineer, Mapping - Autonomous Vehicles

Overview

About the job:

Key responsibilities:

1. Design and develop algorithms for map based driving products - map matching, optimal path finding and navigations.
2. Develop highly efficient code in C++14 or later
3. Integrate algorithmic solutions into the core of NVIDIA DRIVE AV for various driving levels such as L2, L3, L5
4. Analyze & visualize various navigation maps using Python, Typescript or Javascript
5. Create scalable and distributed map KPI workflows

Who can apply:

Only those candidates can apply who:

1. have minimum 3 years of experience
2. are Computer Science Engineering students

Salary:

Competitive salary

Experience:

3 year(s)

Deadline:

2025-10-21 23:59:59

Skills required:

Machine Learning, C++ Programming, Teamwork and Effective Communication

Other Requirements:

- BS, MS, or PhD in Computer Science or equivalent experience.

- 3+ years of proven experience building robust software

- At least 3 years of modern C++ development experience

- Prior experience of working with automotive map formats - NDS.Live, Adasis etc.

- Software development on embedded or automotive platforms.

- Knowledge of gRPC, Flat Buffers and Protocol Buffers

- Experience with GPGPU programming (CUDA).

- Runtime optimization of code using profilers.

- Background in computer vision, 3D geometry and machine learning

- Passion for robotics and autonomous vehicles

- Drive to learn new things and solve meaningful problems

- Excellent communication and cross-team collaboration

- Independent and analytical engineering skills

About Company:

Nvidia, founded in 1993 and headquartered in Santa Clara, California, is a global leader in graphics processing units (GPUs) and AI computing. With a market capitalization exceeding $2 trillion in 2024, Nvidia dominates AI, gaming, and data center technologies. In India, Nvidia collaborates with research institutions and businesses to accelerate AI adoption, deep learning, and cloud computing. Its innovations in autonomous vehicles, supercomputing, and AI chips make it one of the most influential technology firms shaping the future of computing.