Senior Staff Engineer, Autonomy Integration (R2599)

What You'll Do:

• Release a cohesive autonomy product (Hivemind) at a regular cadence, including core autonomy libraries, command and control frontends, and autonomy SDKs. 
• Support integration across the various Hivemind product teams and step in to help with implementation when required. 
• Identify, triage, and resolve issues that affect the entire autonomy stack.  
• Identify performance bottlenecks and design and implement solutions for them. 
• Integrate new autonomy features, implement end-to-end tests that exercise the new features, and release new software packages at a regular cadence. Implement tooling to help with regular releases. 
• Write and integrate new simulation and playback capabilities into standard developer workflows. This includes faster-than-realtime simulation, flight playback tooling, and scalable simulations. 
• Work with platform teams to deploy autonomy stack onto new platforms and hardware.
• Support integration with 3rd party components. 
• Help triage and resolve bugs generated by downstream consumers.
• Work with the autonomy teams to resolve issues that might require more in-depth solutions.

Required Qualifications:

• Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 7 years with a PhD; or equivalent work experience.
• Deep experience with C++14 and beyond 
• Experience with Python 
• 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 
• Comfortable analyzing data to improve design and performance of a system 
• Experience with hands-on debugging of complex software and autonomy systems 
• Experience with robotics frameworks, such as ROS, and simulators (e.g.AirSim) 
• Experience with cloud-based systems and infrastructure, containerisation technologies, Kubernetes, etc. 
• Familiarity with CUDA, streaming video, hardware integration, networking, communications 
• Understanding about a wide range of autonomy products