Applied Intuition-posted 9 months ago
$80,000 - $120,000/Yr
Full-time • Entry Level
Remote • Mountain View, CA
501-1,000 employees
Publishing Industries

Applied Intuition is a vehicle software supplier that accelerates the adoption of safe and intelligent machines worldwide. Founded in 2017, Applied Intuition delivers the AI-powered ADAS/AD toolchain, vehicle platform, and autonomy stack to help customers shorten time to market, build high-quality systems, and create next-generation consumer experiences. 18 of the top 20 global automakers trust Applied Intuition's solutions to drive the production of modern vehicles. Applied Intuition serves the automotive, trucking, construction, mining, agriculture, and defense industries and is headquartered in Mountain View, CA, with offices in San Diego, CA, Ft. Walton Beach, FL, Ann Arbor and Detroit, MI, Washington, D.C., Stuttgart, Munich, Stockholm, Seoul, and Tokyo. Learn more at appliedintuition.com. We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. (Note: this is not applicable for EpiSci roles)

  • Synthesize test output data analysis in relation to the systems engineering and safety requirements for the expected AV behavior
  • Triage drive data failures, try to reproduce them in simulation, and properly re-assign to the correct functional owner and development team
  • Partner closely with the software development teams to maintain a rapport for rapid and iterative feedback loop
  • Bachelor's or higher degree in Engineering such as Computer Science, Electrical Engineering, Systems Engineering, Software Engineering, Robotics highly preferred; or at least four years of equivalent knowledge and work experience
  • 2+ years of professional experience working on safety critical and complex systems such as Robotics, Autonomous Vehicles, Automotive, or Aerospace Technologies
  • Experience with software engineering concepts, including requirements analysis, source control, build processes, design reviews
  • Experience with Linux and scripting languages (E.g: Bash/Shell, Python)
  • Experience using issue tracking and configuration management tools (E.g: Atlassian Confluence, Jira, Bitbucket, Git)
  • Strong troubleshooting, debugging, and analytical and creative problem solving skills
  • 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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