Today, NVIDIA is harnessing the limitless potential of AI to define the next era of computing. Achieving what has never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll join a diverse, supportive environment where everyone is inspired to do their best work.
We are looking for engineers to help develop and bring NVIDIA’s autonomous vehicle technologies to the world. In this role, you will contribute to a focused effort to develop and productize groundbreaking solutions that will transform transportation and advance the rapidly growing field of self-driving cars. You will collaborate with talented, dedicated cross-functional engineering teams across multiple subsystems to integrate their work into NVIDIA’s DRIVE software platform, while meeting or exceeding relevant NVIDIA and automotive standards and guidelines. You’ll find the work exciting, challenging, and significant.
What You'll Be Doing:In this role, you will collaborate with a diverse team of front-end and back-end developers, DevOps engineers, and machine learning experts. You will build applications/agents at the frontier of what is possible in AI today, gaining a front-row view of innovation in one of the most dynamic technology areas.
You will play an important role across the full development and release lifecycle, from AI agent, web API, and software architecture design to implementation, testing, and deployment.
Working alongside exceptional engineers, you will help build and maintain next-generation services, including AI agents, workflows, and more.
Learn, design, and deliver valuable features for end users that significantly improve the user experience of NVIDIA’s autonomous driving products.
Ensure high availability and quality of service for internal customers through operational excellence, while defining service level objectives (SLOs) and service level indicators (SLIs) to measure and represent service quality.
BS, MS in Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, Data Science, Mathematics, or equivalent experience.
5+ years of software development experience.
Proficiency with programming languages such as Go/Java/Python/C++ and proficiency in software development fundamentals.
Good understanding of distributed systems, microservice architecture and REST APIs.
Experience with container-based virtualization (e.g. Docker) and container orchestration (e.g. Kubernetes).
Excellent communication and collaboration abilities.
Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.
Expertise in employing Agentic AI to automate complex workflows.
Proficient in full-stack development.
Familiar with distributed computing, high-scalability and high-availability design, multithreading, and load balancing for high-performance server architectures.
In-depth knowledge of Automotive/IoT.
Strong problem-solving skills and a passion for learning and staying up to date with the latest trends in software engineering and technologies.
Skills Required
- BS or MS in Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, Data Science, Mathematics, or equivalent experience.
- 5+ years of software development experience.
- Proficiency with programming languages such as Go, Java, Python, C++.
- Proficiency in software development fundamentals.
- Good understanding of distributed systems, microservice architecture, and REST APIs.
- Experience with container-based virtualization (e.g., Docker).
- Experience with container orchestration (e.g., Kubernetes).
- Excellent communication and collaboration abilities.
- Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.
- Expertise in employing Agentic AI to automate complex workflows.
- Proficient in full-stack development.
- Familiarity with distributed computing, high-scalability and high-availability design, multithreading, and load balancing for high-performance server architectures.
- In-depth knowledge of Automotive/IoT.
- Strong problem-solving skills and passion for continuous learning.
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.”
