What are the responsibilities and job description for the Software Manager, Planning and Control - Autonomous Vehicles position at Karkidi?
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.
For a complete understanding of this opportunity, and what will be required to be a successful applicant, read on.
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 function
- Providing the generalized software architecture
- Designing system interfaces that are general and scale-able across multiple programs with different customers
- Building an ambitious testing infrastructure to mature the feature through automated regressions, unit testing, as well as in-vehicle evaluations
- Collaborating with system engineering to write succinct and achievable engineering requirements at the vehicle, subsystem, and element level
- Providing career development to each of your team members through constructive reviews and performance feedback
What we need to see :
Ways to stand out from the crowd :
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 groundbreaking hardware and software. Come join us at NVIDIA!
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