Senior C++ Software Engineer, Pittsburgh

Strong expertise in C++ (required); proficiency inPython Proven experience designing and maintaining large-scale, production software systems Deep understanding of Linux-based development, multithreading, memory management, and performance optimization What Success Looks Like Core autonomy software components are architecturally sound, scalable, and reused across programs Algorithms move smoothly from simulation to reliable real-world deployment Technical decisions reduce integration risk and long-term maintenance cost Junior engineers grow in capability through mentorship and strong technical leadership Field issues are anticipated, diagnosed quickly, and resolved with durable solutions Experience working with distributed systems, middleware, or robotics frameworks Experience working in cross-functional, multi-team engineering environments Experience with autonomy or robotics middleware (e.g., ROS/ROS2 or similar systems) Hands-on experience with perception systems (LiDAR, camera, radar, sensor fusion) Familiarity with motion planning, control algorithms, state estimation, or mapping Experience with simulation, HIL, SIL, or synthetic data pipelines Exposure to embedded systems, real-time operating constraints, or edge/GPU computing Experience developing software for off-highway, automotive, construction, mining, or industrial autonomy Knowledge of safety-oriented development practices, reliability engineering, or functional safety concepts Typical task breakdown: Key Responsibilities Lead the design, development, and ownership of major autonomy software components across perception, localization, planning, control, or platform layers Define and influence software architecture for scalable, reliable, and maintainable autonomy systems Translate algorithmic concepts and research prototypes into production-grade, real-time software Serve as a technical leader within the team, setting coding standards, best practices, and design patterns Mentor and guide junior and mid-level engineers through design reviews, code reviews, and technical coaching Collaborate closely with robotics, controls, AI/ML, simulation, systems, and safety teams to deliver end-to-end autonomy capabilities Drive integration of autonomy software with sensors, actuators, compute platforms, and vehicle networks (e.g., CAN, Ethernet) Lead debugging and root-cause analysis for complex issues observed in simulation, HIL, or field deployments Ensure software quality through automated testing, CI/CD pipelines, performance optimization, and documentation Contribute to technical roadmaps, risk assessments, and long-term platform strateg