You’re looking for a career where you lead programs that matter - programs where success is measured in moving earth, saving lives, and unlocking economic productivity. You thrive in ambiguity and enjoy stitching together hardware, robotics, AI, and software into coherent, executable plans. You look at problems holistically and understand that the last mile of autonomy is not just an algorithm problem - it’s a systems engineering, safety engineering, and program execution problem.
You’re deeply technical. You can dive into architecture discussions on perception pipelines, real-time control loops, hardware interfaces, and ruggedization constraints; but you can also zoom out to define business goals, manage risk, and help teams make the right trade-offs. You’re able to influence engineers, leadership, vendors, customers, and partners - through crisp communication, sound judgment, and a reputation for delivering results.
You’re comfortable driving programs that span firmware, autonomy, embedded systems, cloud infra, hydraulics, relays, safety circuits, GNSS/INS, and on-machine compute. You partner closely with engineering managers and principal engineers to turn chaos into clarity, ambiguity into strategy, and strategy into execution.
We’re going to change how the world builds. Along the way, we’ll face seemingly impossible challenges - machine safety, sensor reliability, end-to-end latency, customer deployment friction, supply chain unpredictability, and the unforgiving physics of 100-ton machines moving autonomously. We will argue passionately about the best solutions, iterate quickly, confront the truth when things don’t work, and build mechanisms that allow us to scale with quality.
We’ll make hard decisions, but they will be grounded in data, field learning, and customer value. And we’ll do it as a single, aligned engineering culture.
If this excites you - you’re the kind of TPM who thrives here.