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NEXTMOVEFDE careers · United States

Robotics Application Engineer

Technologies

Python · Rust · C++ · Linux · LiDAR · GNSS · IMU · sensor fusion · computer vision · motion planning · CAN bus · Kalman Filter

About Bedrock Robotics

Retrofit autonomy hardware and software for heavy construction equipment so contractors can run excavation fleets more safely, predictably, and eventually operator-free.

Series B

Job description

The full responsibilities and requirements are on the employer’s site.

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Source and classification

Implementation & delivery · Evidence for this classification:

have you join us. The Mission: At Bedrock, we aren’t just building robots; we are redefining how the world moves earth. We are looking for a Senior level Robotics Application Engineer who thrives at the intersection of heavy machinery, cutting-edge autonomy, and real-world grit. What You’ll Do: In this role, you won't be stuck behind a desk. You’ll be the bridge between our advanced R&D lab and the rugged reality of a construction site. Your job is to take our autonomous excavators and make them perform - turning lines of code into moved dirt and satisfied customers. As a "Full-Stack" Robotics Engineer, you will own the success of our deployments through: Data-Driven Evaluation: Run evaluations on site data to predict autonomous performance and validate release readiness before the buckets start digging. Real-Time Problem Solving: Debug complex issues across the entire stack—from
More from the job description

Join the team bringing advanced autonomy to the built world At Bedrock, we're moving AI out of the lab and into the real world. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. Today, we're deploying autonomous systems on heavy construction equipment across the country, improving safety on job sites and accelerating schedules on critical infrastructure projects. We're not here debating the future of AI. We're deploying it in the real world. In just two years, we've raised $350M and achieved the first fully autonomous excavator deployments in construction. This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us. The Mission: At Bedrock, we aren’t just building robots; we are redefining how the world moves earth. We are looking for a Senior level Robotics Application Engineer who thrives at the intersection of heavy machinery, cutting-edge autonomy, and real-world grit. What You’ll Do: In this role, you won't be stuck behind a desk. You’ll be the bridge between our advanced R&D lab and the rugged reality of a construction site. Your job is to take our autonomous excavators and make th [... source excerpt omitted ...] a breadth of technical knowledge to dig into both onboard and offboard code to keep the mission moving. Technical Strategy: Collaborate closely with Partnerships to identify new customer sites that align with our product roadmap and provide technical feedback to our engineering team to influence the next generation of Bedrock systems. Customer Partnership: Translate "robot-speak" into value. You will lead discussions on site progression, explain how the system integrates into our customers’ work, and how to maximize its performance on a job site. What We’re Looking For: B.S. or M.S. in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related t [... source excerpt omitted ...] eping critical onboard and off-board systems operating smoothly Hands-on experience with deployed robotics is a massive plus Ability to travel up to 20% of the time, deployed to customer sites across the U.S. Your Technical Toolkit: We need a generalist who can navigate the complexities of a modern autonomous system. Software - Proficiency in Python, Rust, C++, etc, Linux. Experience with version control and deploying code in "live" environments. Systems - Strong understanding of robotics stacks – sensor fusion (LiDAR, GNSS, IMU), computer vision, motion planning, controls, embedded systems. Hardware - Ability to troubleshoot electrical systems, CAN bus communication, and

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