Senior Planning Software Engineer for Automated Parking Solutions
2 months ago
Key Responsibilities:
* Lead and contribute to engineering efforts, including development, tuning, and verification 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.
Requirements:
* BS, MS 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 Gerrit (or similar).
* Comfort developing software with GIT in a Linux environment.
Nice to Have:
* Experience shipping automotive software products, especially Automated Parking, 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.
About NVIDIA:
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.
If you are an upbeat contributor with a background that includes one or more of the above requirements, we want to hear from you"}
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