Senior Software Engineer - Drive OS

Posted 2 Days Ago
Be an Early Applicant
Santa Clara, CA
Senior level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
The Senior Software Engineer in the DRIVE OS team will design and implement a Software Development Kit for Autonomous Vehicle applications. Responsibilities include optimizing build and test processes, maintaining test automation frameworks, and supporting applications with various security and deployment needs. The role requires strong collaboration with partners and innovative thinking to improve software development flows.
Summary Generated by Built In

We are looking for a Senior Software Engineer in our DRIVE OS team. NVIDIA DRIVE™ OS is a foundational software stack consisting of an embedded Real Time OS (RTOS), hypervisor, NVIDIA® CUDA® libraries, NVIDIA Tensor RT™, and other modules that give you access to the hardware engines. DRIVE OS offers a safe and secure execution environment for applications such as secure boot, security services, firewall, and over-the-air updates.

What You'll Be Doing

  • Design, Implementation, and Deployment of a world-class Software Development Kit for the development of Autonomous Vehicle, Cluster, and Cockpit applications in the multi-billion dollar Automotive market.

  • Automating and optimizing build, test, integration, and release processes for SDK / publicly distributed libraries.

  • Implement and maintain test automation framework

  • Improving deployments using industry-standard tools (e.g. Gitlab, Jenkins, Docker, CMake, Jira).

  • Developing shared utilities & building automation framework, running tests, and recording & analyzing results with industry standard dashboards (Splunk, Kibana)

  • Identifying infrastructure requirements to build scalable platform, anticipating future needs.

What We Need To See

  • BS or higher degree (or equivalent experience) in computer science.

  • 12+ years of proven experience.

  • Adept programming skills in Python (or similar).

  • Proficiency in SCM (e.g. Perforce, Git) and build systems (e.g. make, cmake, bazel).

  • Contributing to best-practices for building, testing, and releasing software.

  • Proven experience setting up, maintaining, and automating continuous integration systems.

  • Passion for “it just works” automation and enabling team members.

  • Good interpersonal skills in working with partners (Program manager, Product owners, Developers, SQA)

Ways To Stand Out From The Crowd

  • Experience with mobile/embedded platforms and multiple operating systems (Linux, QNX, and Android).

  • Track record of identifying useful new technologies and incorporating them into SW development flows.

  • Experience as an active contributor to a SW project involving many developers.

  • Background with software releases: codeline branching, integrations, maintenance, bug tracking.

We are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, autonomous and enjoy having fun, than what are you waiting for apply today!

The base salary range is 220,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Top Skills

Python
The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
Year Founded: 1993

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.”

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