We are seeking an energetic, hardworking planning and/or control systems 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.The hiring team works within the ADAS space (Advanced Driver Assistance Systems) focusing on Active Safety features. These features intervene to warn or assist a driver in dangerous situations. In particular, we are looking for an engineer to join our lateral sub-team focusing on intervention algorithms associated with steering, orienting, and re-aligning the vehicle. These features make our roadways safer and help save lives.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 dynamicsDefining and verifying product requirements through detailed analysis, simulation, in-car testing, and benchmarking existing productsCollaborating with our internal safety teams to perform safety analysis using classical HARA and DFMEA processesDesigning the overall software architecture for a particular feature or componentMaturing prototype software to production qualityDebugging and isolating issues based on real-world testingWhat we need to see:BS or higher in an engineering or technical field (Mechanical, Electrical, Computer Science, Physics, etc.) or equivalent experience2+ years of practical experienceExperience writing software in C++Comfort with an Agile/Scrum software development environment using GitLab (or similar)Comfort developing software with GIT in a Linux environmentWays to stand out from the crowd:Experience shipping products, especially building from a clean sheet designing AV domain including system architecture and CAN communicationExposure to regulatory standards such as ISO 26262 and safety decompositions (ASIL) or an industry equivalent and expertise in fundamental physicsBackground with working with traditional planning algorithms (A*, D*, RRTs, probabilistic roadmaps, etc.) Experience building safety critical software architectures and practical vehicle testing experience on test tracks and skid padsAcademic 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!The base salary range is $108,000 - $201,250. 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 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.
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