ML Perception Software Engineer

Applied IntuitionSunnyvale, CA
Onsite

About The Position

Applied Intuition is looking for a software engineer with expertise in perception for autonomous vehicles or mobile robots. Your contributions will focus on building out key capabilities of perception modules within an autonomous vehicle stack, such as building 4D world representations to support end-to-end autonomy. You will also drive the design and development of computer vision and machine learning techniques to enable self-driving vehicles to navigate. In addition to your engineering contributions, by working in our dynamic and customer-focused team culture, you will contribute to and learn from best practices in the nascent autonomy industry. We move fast and focus on excellence, for our products and for our business. If you are hands-on and looking for a place to have a multiplying effect on making autonomous systems a reality, Applied Intuition is the place for you! We are hiring for all levels.

Requirements

  • 3+ years of experience building software components or (sub) systems that address real-world perception challenges
  • Bachelor’s in Computer Science, Electrical Engineering, Robotics, or related field
  • Strong proficiency in C++ and Python
  • Experience building machine learning models from data collection to production and deployment
  • Deep understanding of the concepts and methods behind any frameworks or libraries that they worked with
  • Interest in keeping up to date in their field, identifying trends and figuring out which new ideas are promising and which are risky.

Nice To Haves

  • MSc or PhD in perception or closely related field
  • Experience working in modern ML-based perception for autonomous systems
  • Deep knowledge of the current trends in computer vision including perception, reconstruction, diffusion, world models and pre training vision models.

Responsibilities

  • Train, modify, and create beyond-SOTA algorithms for constructing powerful world representations that can be used for perception, world modeling, and ML driven autonomy
  • Test and evaluate your algorithms on real vehicles, owning large portions of the autonomy stack and ensuring that they provide real improvements to the driving abilities
  • Work closely with our data, behavior, and research teams to develop the most advanced autonomy software for all domains to deploy to production for our customers

Benefits

  • equity
  • comprehensive health, dental, vision, life and disability insurance coverage
  • 401k retirement benefits with employer match
  • learning and wellness stipends
  • paid time off
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