WHAT YOU'LL DO:
- Leverage Shield AI’s autonomy software development kit to develop innovative solutions for runtime assurance and autonomy across emerging platforms.
- Integrate autonomy software on hardware platforms
- Develop specialized capabilities for emerging platforms that incorporate platform specific sensors, effectors, and motion models
- Package and deploy code for a variety ofcomputer architectures
- Develop simulation in the loop, hardware in the loop, and vehicle in the loop tests
- Create tools that assist in certifying code for flight readiness.
- Improve the SDK by identify gaps and working with Product Management to design solutions
- Work with the autonomy teams to resolve issues that might require more in-depth solutions.
REQUIRED QUALIFICATIONS:
- Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience.
- Deep experience with C++14 and beyond
- Experience with Python
- Experience with Docker
- Experience with git or other modern version control systems (e.g. mercurial)
- Experience working in large, complex, distributed systems
- You have a demonstrated record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others.
- You have a willingness to jump out of your comfort zone to help out other teammates as needed.
- Good written and verbal communication skills.
PREFERRED QUALIFICATIONS:
- Experience with C++17 or greater
- Experience with hands-on debugging of complex software and autonomy systems on real world platforms
- Experience with Image Acquisition and Processing, Embedded Platforms, or Run-Time Assurance
- Familiarity with CUDA, streaming video, hardware integration, networking, communications
- Experience with writing sensor drivers
- Experience with robotics frameworks, such as ROS, and simulators (e.g.AirSim)
- Understanding about a wide range of autonomy products
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