Senior Software Engineer, Planning and Controls - Autonomous Vehicles

NVIDIASanta Clara, CA
67d$224,000 - $356,500

About The Position

We are seeking an energetic, hardworking Senior Software Engineer to join our Prediction 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.

Requirements

  • 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++.
  • Experience with prediction model training/deployment experience.
  • Comfort with an Agile/Scrum software development environment using Gerrit (or similar).
  • Comfort developing software with GIT in a Linux environment.

Nice To Haves

  • 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.
  • Prior experience in building safety critical software architectures.
  • Experience building deep learning based prediction system with different model training/inference is a must.
  • An expertise in fundamental physics - kinematic and dynamic models of rigid bodies is a must.
  • Background with traditional planning algorithms (A*, D*, RRTs, probabilistic roadmaps, etc.) is a plus.

Responsibilities

  • 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 both ML based approach and classical approach in vehicle, VRU, and other object prediction.
  • 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.

Benefits

  • Equity and benefits.
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