Jobs at Bedrock Robotics

Leads Bedrock’s commercial transactions practice, drafting and negotiating contractor, OEM, software, services, and technology partnership agreements. Advises business teams on data, intellectual property, insurance, safety, privacy, regulatory, and commercial matters related to autonomous construction products. Partners with Operations, Engineering, Business Development, and leadership to launch products, structure ecosystem partnerships, and manage legal and business risks in a rapidly evolving industry.

Lead data science across autonomy, safety, and product by analyzing machine telemetry and operational data, defining metrics, designing experiments, and partnering with ML platform and engineering to deliver insights that improve system performance and safety.

Define, develop, and execute end-to-end test plans for robotic hardware and control software. Design test fixtures, run functional/performance/environmental tests, analyze data, track defects, and coordinate integration testing with development and operations to ensure deployment readiness.

Lead and scale all accounting operations (GL, revenue recognition, AP/AR, payroll, consolidations, equity), drive month-end close, oversee fintech revenue streams, build internal controls and systems, partner with FP&A and product/engineering to automate financial workflows, support audits, SOX readiness, and board/investor reporting.

Design and implement onboard control algorithms and system models for heavy construction robots, develop MPC and RL-based controllers, perform system identification and simulation of multi-DOF arms and vehicle dynamics, and ensure safety-critical real-time embedded performance.

Design, build, and scale automated hardware test systems and diagnostics across NPI and volume manufacturing. Own test strategy, frameworks, MES integration, failure analysis, reliability testing, data collection/analytics, and operator training to improve yield and reduce field escapes.

Drive hardware reliability for autonomous construction machines: define reliability strategy and requirements, lead DFMEAs and FTAs, build reliability models and tests (HALT/HASS, ALT), run FRACAS and root-cause investigations, qualify suppliers, and convert field failures into design and process improvements.

Develop and deploy perception algorithms and analytics for re-identification and productivity/safety metrics on large construction sites. Integrate raw sensor data (camera, lidar, IMU), adapt perception signals for customer-facing analytics, work with customers to scope capabilities, and deploy models to fleets of machines while designing evaluations and analyzing sensor data.

Owner of corporate infrastructure projects: design and deploy identity, endpoints, networking, and SaaS integrations. Consult with business teams, write documentation/RFDs, modify IaC (HCL), script automations, define workplace tech standards for multi-site rollouts, and coordinate vendors from kickoff to handoff.

As a Machine Learning Engineer, you will design and train perception models for robotics, focusing on 3D perception systems. You will tackle complex physical challenges, optimize models for embedded hardware, and collaborate with cross-functional teams.

Develop and scale learning models for behavior cloning and reinforcement learning. Build data pipelines and evaluate model performance for integration into autonomous systems.

The Site Operations Manager will lead the deployment of autonomous construction technology, ensuring site launches, operational performance, and strong partner relationships throughout project lifecycles.

The Hardware Engineer will design, integrate, and validate hardware for autonomous machines, working on system architecture and collaborating with engineers and vendors.

Architect and maintain the embedded Linux stack for autonomous systems, optimize performance, and lead cross-functional technical efforts.

Lead cross-functional programs that deliver cloud infrastructure, data platforms, and user-facing applications for autonomous construction systems. Align engineering, commercial, and operations workstreams, mitigate technical and program risk, shape roadmaps and lightweight PM practices, and drive safety-critical validation for physical deployments.

The role involves integrating simulators into the Cloud platform, ensuring reliable simulation workflows, and collaborating with simulation engineers to optimize efficiency.

Own and evolve the developer platform: design and operate CI/CD, monorepo tooling, GitHub automation, and self-service developer workflows to improve build reliability, speed, and engineering productivity across the org.

Lead design and build core backend services and infrastructure for autonomous construction equipment, including fleet management, task orchestration, monitoring, tooling for testing and deployments, and collaboration with frontend, ML, and robotics teams.

The Robotics Application Engineer leads deployment of autonomous excavators, conducts site evaluations, troubleshoots issues, collaborates on technical strategy, and communicates value to customers.

Build and productionize AI-driven annotation systems and agentic workflows for robot sensor data: auto-labelers, orchestration, quality harnesses, versioning, metrics, and integrations to support perception and autonomy.