NVIDIA is searching for engineers to develop and bring NVIDIA's autonomous vehicle out to the world. You will participate in a focused effort to develop and productize ground-breaking solutions that will revolutionize the world of transportation and the growing field of self-driving cars. You will work with talented and dedicated multi-functional engineering development teams across various subsystems to integrate their work into our autonomous driving DRIVE SW platform, while achieving or exceeding all relevant NVIDIA and automotive standards & guidelines. You'll find the work is exciting, fun, and meaningful challenging.

NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can pursue, and that matter to the world. This is our life’s work: to amplify human creativity and intelligence. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have many of the most forward-thinking and talented people in the world working together. If you're creative, autonomous, and love challenges, we would love to hear.

What You'll Be Doing:

• In this role, you will be collaborating with front-end, back-end developers, collaborating with a diverse team of DevOps, IT and security engineers as well as machine learning, deep learning experts. You will be creating human-in-the-loop and management applications at the frontier of what is possible in machine learning today and getting a front seat view of the action in this very hot space from a team and a company driving the progress at the cutting edge.

• You will play an important role in the full development and release life cycle, from web API, software architecture and database interaction design to implementation, testing, and deployment.

• Working together with other excellent engineers to build and maintain the next generation services including build workflows, Telemetry, and much more.

• Learn and create valuable features for end users and greatly improve NVIDIA autonomous driving product’s user experience.

• Continuously improve infrastructure provisioning and management using automation.

• Identify areas to improve service resiliency through industry standard practices.

• Ensure the highest level of up-time and Quality of Service (QoS) to internal customers through operational excellence

• Define service level objectives (SLOs) and service level indicators (SLIs) to represent and measure service quality.

What We Need to See:

• BS, MS in Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, Data Science, Mathematics, or a related field.

• 3+ years of software development experience.

• Proficiency with programming languages such as Python/Java/Go/C++ and proficiency in software development fundamentals.

• Experience with container-based virtualization (e.g. Docker) and container orchestration (e.g. Kubernetes).

• Proficient in modern CI/CD techniques, GitOps and Infrastructure as Code(IaC).

• Hands on experience running production quality observability stacks.

• Excellent communication and teamwork abilities.

• Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.

Ways To Stand Out from the Crowd:

• Expertise with at least one major cloud service provider- AWS, GCP, Azure.

• Deep understanding of Linux, and Linux application/services development.

• Familiar with distributed computing, high scalability and availability design, multi-thread, load balance, such as high-performance server architecture.

• In-depth knowledge of Automotive/IoT is a plus.

• Strong problem-solving skills and a passion for learning and staying up to date with the latest trends in software engineering and technologies.