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 Software Engineer, Onboard Infrastructure will join a high-caliber team responsible for delivering foundational technology, designing and implementing features and optimizations across critical systems for Stack's self-driving platform.

Responsibilities:

• Design and implementation of high-throughput, low-latency logging frameworks capable of handling massively parallel data streams - telemetry, event and console logs
• Design, development, and implementation of features, interfaces, and optimizations for Clockwork in collaboration with Autonomy, Cloud, and Safety teams
• Continually identify opportunities for improving the performance, reliability, and usability of Clockwork, evaluating tradeoffs amongst multiple options in a resource-constrained environment
• Contribute to the prototyping, development, and maintenance of new and existing sensor interfaces that drive the Perception system of the AV
• 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:

• Proficiency of C++ with deep understanding of multi-threading, concurrency models, lock-free data structures, and memory management
• Knowledge of software engineering life cycle and algorithm design principles
• Experience developing high performance software systems, deployed in resource constrained environments, preferably for safety critical applications
• Strong understanding of the POSIX programming environment, Linux, and concurrent programming
• A passion for writing robust, intuitive, and pragmatic production code
• 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
• Experience with performance evaluation and optimization is highly desired
• Domain experience working in autonomous driving, robotics or related industry is highly desired