- Robot type
- Autonomous Vehicle · Robot AI and Software
- Location
- SunnyvaleCaliforniaUSA
- Job type
- Software
- Posted
- Aug 20, 2024
- Salary
- $180,000–$250,000 a year
Software Engineer - Calibration
Job description
Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.;
Job responsibilities
- Implement a software pipeline which enables calibration of sensor intrinsic and extrinsic parameters for a variety of vehicles of different sensor configurations
- Design processes to manage the lifecycle and deployment of calibrations besides operations around data collection, processing and evaluation
- Work across teams, interface closely with and contribute to the core calibration algorithm team at Applied
- Have an opportunity to build state-of-the-art algorithms for both offline calibration in the factory / lab and online calibration to account for sensor variation due to temperature or other on-road and off-road…
- Enable sensor fusion and work with a variety of sensors including Camera, Lidar, Radar, IMU, GNSS, and more
- Drive an excellent product experience by designing a user-friendly Calibration procedure, as well as exposure of online Calibration status through HMI integration
Job requirements
- 2+ years of experience building software components or (sub) systems that address practical engineering challenges
- Bachelor’s in Computer Science, Electrical Engineering, Robotics, or related field
- Hands-on experience with one or more domain relevant algorithm, software framework or tools, such as calibration, middleware, benchmarking suites, data sets and related pipelines, or algorithmic libraries
- C++ and/or Python programming expertise
- Willingness to learn and be a self starter, and can quickly become comfortable with new technical tools
- Passion for turning their software development expertise into solving real-world applications of autonomous system
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