TechMojo Solutions
From TechMojo Solutions's careers page
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You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch.
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JOIN THE TEAM BRINGING AUTONOMY TO THE BUILT WORLD At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs. In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks. 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. About the role The Onboard Infrastructure team builds the software foundation Bedrock's autonomous machines run on, the layer giving Bedrock the ability to scale across multiple machines, variations, models and environments. Our software keeps every machine working reliably hours from the nearest engineer, in harsh environments and on lossy connectivity, doing real work on billion-dollar projects. We're looking for Senior and Staff Software Engineers to architect, build, and own major areas of our onboard platform, from the OS, drivers, and system services up through the runtime frameworks our autonomy stack is built on. You'll take these systems from first bring-up through reliable operation in the field, keeping the platform fast, secure, and dependable at fleet scale. Responsibilities Bring up next-generation compute and sensors as we expand to new machine types Develop the core system services that keep a fleet running reliably: software updates, lifecycle management, data logging, health monitoring, and connectivity Architect and develop the onboard runtime and middleware for execution, communication, configuration, and observability that let autonomy teams move fast and ship to multiple machine types Optimize and benchmark onboard system performance across CPU, GPU, and memory for mixed-criticality, real-time workloads Expand diagnostics and observability across the onboard stack, enabling a small team to keep a growing fleet healthy Build internal tools, frameworks, and test infrastructure that accelerate development and validation across engineering Lean into AI and agents, from automating development workflows to fleet analysis, triage, troubleshooting, and more. Requirements Experience building and shipping embedded systems in robotics, automotive, drones, or other high-performance embedded contexts Strong programming skills in a systems language such as C++ or Rust, plus fluency in Python for scripting and analysis Solid foundation building software on Linux-based systems, with the versatility to work up and down the stack, from services and applications to performance tuning and system internals Comfortable developing, automating, and debugging across the hardware/software boundary Track record of leading projects, driving design decisions, and working effectively across hardware, autonomy, and platform teams Nice to have Hands-on work with real-world sensing systems, including cameras, lidar, GPS/GNSS, IMUs, radar, or other fielded sensors Background in OTA, security, connectivity, telemetry, diagnostics, or other production-hardening areas for connected fleets Familiarity with the NVIDIA Jetson ecosystem, including optimizing ML inference and other GPU workloads on embedded compute (e.g., CUDA, TensorRT) Experience with Rust in production or performance-critical systems Prior work on safety-critical systems Bedrock Robotics is an Equal Opportunity Employer We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic. Reasonable Accommodations We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
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