Top Tech Jobs & Startup Jobs

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.

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

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.

Lead end-to-end product quality across hardware development, manufacturing, supplier quality, reliability testing, and deployed robotic fleets. Establish IQC/IPQC/OQC, quality gates, FMEA and CAPA processes, define validation and test strategies (HALT/HASS, HIL/SIL), drive root-cause analysis, KPIs (yield, DPPM, MTBF/MTTR), and build automated diagnostics and AI-enabled workflows to improve reliability and field uptime.