Robotics Software Engineer - Motion Planning, State Estimation, & Control

TerraFirma, Inc.•Austin, TX

1d•Onsite

About The Position

At TerraFirma, we’re redefining how the world moves earth for construction. Founded by former SpaceX engineers and backed by Bain Capital Ventures, TerraFirma is automating construction to make it faster, cheaper, and safer. Our Story & Mission At SpaceX, we were part of the teams that built the largest rocket in human history, launched the largest constellation of satellites ever made, and delivered connectivity to millions of people worldwide. What we learned was simple: infrastructure is everything. At Starbase, the biggest barrier to launching missions to Mars was not building the rocket. It was how slow, expensive, and complex it was to build the infrastructure around it. We lacked buildings, roads, water, power, communications, and waste management, and constructing them took far more time and resources than it should have. From a first-principles perspective, that doesn’t make sense. It shouldn't be this hard or costly to create the foundations for progress. That’s when we realized something important: the same engineering mindset that enabled us to tackle space exploration and mass manufacturing could be applied to infrastructure. By bringing the principles of simplification, iteration, acceleration, and automation to construction, we can unlock a new era in how the world builds. Accelerating infrastructure unlocks progress across every domain, creating a self-sustaining engine for tackling humanity’s toughest challenges. The innovations we develop on Earth will lay the groundwork for the technologies that one day make settlement on Mars possible. Job Overview You will design and deploy the algorithms that enable heavy machinery to perform complex tasks with advanced automation in dynamic, unstructured environments. Your focus will span state estimation, motion and trajectory planning, and control, taking ideas from simulation through to real-world deployment on multi-ton robotic platforms. You will architect systems that fuse data from diverse sensors, optimize movement on challenging job sites, and execute with reliability under real-time constraints.

Requirements

B.S. in Robotics, Mechanical/Electrical Engineering, Computer Science, Aerospace Engineering, or a related field
2+ years of professional or advanced research experience delivering robotic software from first‑principles modelling through hardware deployment
Proven track record owning large deliverables and driving multi‑disciplinary roadmaps

Nice To Haves

Hands‑on deployment of Kalman filters or equivalent estimators on real‑world platforms (e.g., drones, tractors, autonomous vehicles, aircraft, rockets)
Deep familiarity with sensor‑fusion toolchains and libraries
Expertise in different motion planning frameworks
Strong C++17/C and Python skills on Linux
Background integrating and calibrating sensors such as IMUs, RTK‑GPS, wheel/arm encoders, LiDAR, and cameras

Responsibilities

State Estimation & Sensor Fusion – Design, implement, and deploy real‑time estimation pipelines that remain robust to sensor noise, vibration, and bias
Motion / Trajectory / Path Planning – Create high‑level planners and low‑level controllers that optimize for safety, efficiency, and task completion
Software & System Architecture – Own C++/Python codebases, and MCU firmware that realize Guidance, Navigation & Control functions on production hardware
Simulation & Tooling – Generate digital twins, Hardware‑in‑the‑Loop setups, and interactive visualizations to validate algorithms before field trials
Field Deployment – Bring algorithms onto machines, run field experiments, diagnose issues, and iterate rapidly