We are seeking an energetic, hardworking Principal Software Engineer to join our Planning team and develop key autonomous driving features for our DRIVE solution. In this role, you will spearhead work on various planning problems to build robust software solutions. Through effective collaboration with established teams, you will help design and mature new products all the way through to production.

What you'll be doing:

Maturing and productizing new features entails a diversity of activities, including:

• Architecting new designs to enable new functions or to improve performance.

• Leading engineering efforts to develop, tune, and verify algorithms and software using fundamental physics, control systems, planning algorithms, and/or vehicle dynamics.

• Debugging and addressing different issues identified in simulations and in test drives.

• Collaborating with our globally distributed team to enhance the software architecture, improving development processes and tooling

• Defining and verifying product requirements through detailed analysis, simulation, in-car testing, and benchmarking existing products.

• Maturing prototype software to production quality.

What we need to see:

• BS or higher in an engineering or technical field (Mechanical, Electrical, Computer Science, Physics, etc.) or equivalent experience.

• 12+ years of practical experience.

• Experience writing software in C++.

• Comfort with an Agile/Scrum software development environment using Gerrit (or similar).

• Comfort developing software with GIT in a Linux environment.

Ways to stand out from the crowd:

We definitely want to hear from you if you are an upbeat contributor with a background that includes one or more of the following:

• Experience shipping automotive software products, especially Autonomous Driving or ADAS.

• Exposure to regulatory standards such as ISO 26262 and safety decompositions (ASIL) or an industry equivalent.

• An expertise in fundamental physics - kinematic and dynamic models of rigid bodies.

• Background with traditional planning algorithms (A, D, RRTs, probabilistic roadmaps, etc.).

• Experience building safety critical software architectures.

Academic and commercial groups around the world are powering a revolution in artificial intelligence using deep learning techniques running on NVIDIA GPUs, enabling breakthroughs in problems from image classification to speech recognition to natural language processing and autonomous vehicles. Intelligent AI computers that can learn, reason and interact with people are no longer science fiction. Today, a self-driving car powered by AI can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error. This is truly an outstanding time. The era of AI has begun and NVIDIA is leading the drive with revolutionary hardware and software. Come join us at NVIDIA!

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