Staff Software Engineer, Onboard Infrastructure

Stack AV is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. The Staff Software Engineer will be responsible for designing, implementing, and maintaining foundational technology critical to Stack's safety-critical self-driving platform.

Responsibilities:

• Design, implement, and maintain StackOS, Stack AV's vehicle operating system, ensuring it meets the reliability and performance demands of a safety-critical autonomy platform
• Drive the architecture and implementation of the onboard portion of Deploy Manager, ensuring safe, reliable, and efficient software delivery to the vehicle
• Proactively work with internal customers to design & implement new features from ideation to deployment
• Automate processes related to assembling new self-driving vehicles from-scratch, and updating their software on an ongoing basis
• Continually identify opportunities for improving the performance, reliability, and usability of StackOS and Deploy, evaluating tradeoffs amongst multiple options
• Partner with safety and validation teams to ensure StackOS and Deploy Manager meet functional safety requirements
• Ensure delivery of high quality software through the principled and consistent use of best practices including robust automated testing, manual and automated code review

Requirements:

• Strong C++ development experience is required
• Expert knowledge of software engineering and algorithm design principles
• Significant experience developing high performance software systems, deployed in resource constrained environments, preferably for safety critical applications
• Expert level understanding of Linux and building Linux distributions via Yocto
• Strong understanding of the POSIX programming environment, Linux, and concurrent programming
• Strong understanding of Networking fundamentals
• Comfortable working with & debugging embedded systems
• Experience working with common tooling such as Bazel, Boost, etc
• Excellent communication skills and ability to work in a team environment
• Some Python experience highly preferred
• Domain experience working in autonomous driving, robotics or related industry is highly desired
• Experience with the Nvidia ecosystem and DriveOS, QNX