Principal Planning Software Engineer - Autonomous Vehicles

We are seeking an energetic, hardworking manager to lead a team of developers through the productization and delivery of crucial ADAS and autonomy functions. In this role, you will participate in the full development life-cycle of the product. You will act as both a technical leader, as well as, a career mentor. Similarly, you will bridge the gap between engineering, product, and project management teams.What you'll be doing:We believe that the maturation and productization of any ADAS or autonomy function entails a diversity of activities, including:Setting the algorithmic direction (trajectory planning, decision making) for the functionProviding the generalized software architectureDesigning system interfaces that are general and scale-able across multiple programs with different customersBuilding an ambitious testing infrastructure to mature the feature through automated regressions, unit testing, as well as in-vehicle evaluationsCollaborating with system engineering to write succinct and achievable engineering requirements at the vehicle, subsystem, and element levelProviding career development to each of your team members through constructive reviews and performance feedbackWhat we need to see:BS or higher in an engineering or technical field (Mechanical, Electrical, Computer Science, Physics, etc.) or equivalent experience8+ years of software product experience3+ years of team lead or management experienceExperience writing software in C++ or CConversant with an Agile/Scrum software development environment using Gerrit (or similar), Jira, and ConfluenceWell practiced developing software with GIT in a Linux environmentWays 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 ADAS or Autonomy functions in a software driven cultureExperience shipping products, especially building from a clean sheet designBackground in building a robust software testing infrastructureExperience developing algorithms for physical systems and maturing such algorithms to real productsA 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 equivalentExperience building safety-critical software architecturesAcademic 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 groundbreaking hardware and software. Come join us at NVIDIA!

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