Systems Software Engineer - Automotive

Overview

About the job:

Key responsibilities:

1. Designing and developing system software, applications and tools for NVIDIA SOC and GPU hardware based platforms.
2. Using your operating systems, computer architecture and product life-cycle knowledge and experience.
3. Working with teams across the company to design and develop processes for safer software.
4. Influencing how large teams work, using the set of tools and infrastructure you help develop
5. Developing creative solutions to improve overall efficiency.

Who can apply:

Only those candidates can apply who:

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

Salary:

Competitive salary

Experience:

2 year(s)

Deadline:

2025-11-29 23:59:59

Skills required:

Python, C Programming and Interpersonal skills

Other Requirements:

- Masters in Science in Electrical Engineering or Computer Science

- 2+ years of professional experience

- Expertise in C and Python programming

- Strong interpersonal and communication skills

- Solid understanding of operating systems fundamentals

- Strong grasp of processor architecture fundamentals

- Proficient in REST APIs and scripting languages

- Background in device driver programming for ARM-based processors

- Experience in Pre-Silicon and Post-Silicon bring-up of complex SoCs

- Hands-on experience with QNX and real-time programming

- Familiarity with Automotive Safety Standards and MISRA-C compliance

- Proven initiative in resolving large and complex technical challenges

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.