Senior Planning and Control Software Engineer - Autonomous Vehicles

We are seeking an energetic, hardworking planning and/or controls software engineer to develop and productize key driver assistance features for our autonomous driving platform. In this role, you will work on a mix of planning and control problems to build focused 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:

• Developing safety critical algorithms using fundamental physics, control systems, planning algorithms, and/or vehicle dynamics.

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

• Collaborating with our internal safety teams to perform safety analysis using classical HARA and DFMEA processes.

• Designing the overall software architecture for a particular feature or component.

• 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 work experience.

• 5+ years of practical experience.

• Experience writing software in C++.

• Comfort with an Agile/Scrum software development environment using GitLab (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 products, especially building from a clean sheet design.

• A background in automotive systems, including system architecture and CAN communication.

• 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.

• Theoretical expertise in control systems (optimal, adaptive, fuzzy, model predictive, robust, etc.).

• Background in working 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!