Top Tech Jobs & Startup Jobs

Build and own software tools for reviewing robot data, aligning telemetry with errors, curating datasets, creating training sets, and supporting annotation and quality review workflows. Collaborate with machine learning, robotics, fleet debugging, and data annotation teams to improve training data quality and guide R&D priorities.

Lead firmware development for autonomous robots, including board bring-up, drivers, hardware abstraction layers, and automated hardware-in-the-loop testing. Develop shared firmware for mainboards and actuators in Rust and C, collaborate with manufacturing partners, and work with ML and mechanical teams to prototype and validate sensors. The role emphasizes production reliability, safety, electromechanical systems, and embedded hardware integration.

Own infrastructure for a fleet of autonomous robots, including networking, remote access, real-time video pipelines, CI, observability, alerting, data storage, and infrastructure costs. Build safe release gates and staged rollout processes for software changes across customer networks. Lead infrastructure initiatives across software engineering, machine learning, and fleet operations teams while ensuring robots remain connected and safe in production environments.

Design and deploy automated manufacturing systems for robotic assembly of data center racks and hardware. Responsibilities include mechanical fixtures, tooling, mechatronic equipment, automated processes, cable assembly systems, production flows, and work instructions. The role integrates robotics with electrical, controls, and software systems, troubleshoots production issues, supports ramp-up, and works directly with customers to translate manufacturing challenges into practical hardware solutions.

Design and develop mechanical components and assemblies for autonomous production robots, including grippers, manipulators, end-effectors, and mounts. Lead designs from concept through production, develop rapid prototypes, integrate components into larger hardware systems, and ensure performance, reliability, and manufacturability. Provide technical leadership and collaborate with hardware engineering and operations teams in an onsite, fast-paced environment.

Run and evaluate machine learning training experiments for autonomous robots, curate and clean real-world fleet data, improve data-labeling structures, track model performance metrics, and collaborate with Teleoperations to improve data collection. The role focuses on production ML for perception, decision-making, and control, including imitation learning, reinforcement learning, and deployment evaluation on live robotic systems.

Own end-to-end machine learning model quality for autonomous robots, including dataset curation, training, evaluation, and production deployment. Work with multimodal sensor data from cameras, IMUs, LiDAR, and odometry to develop perception, planning, navigation, and manipulation models. Build low-latency, continuous inference systems and collaborate with teleoperations and fleet operations teams. Experience with large-scale multimodal models, distributed GPU training, production ML code, and cluster management is valuable.

Research engineers determine which machine learning methods autonomous robots should learn next, design evaluations for real-world generalization, and deploy successful models to a live robotic fleet. The role focuses on imitation learning, reinforcement learning, production ML code, benchmark validation, and collaboration with training and serving infrastructure teams.

Runs the robot pilot program by coordinating tryouts and training, tracking pilot performance and operational KPIs, following and improving SOPs, coordinating robot allocation with Fleet Operations, and escalating findings to program and engineering leaders. The role supports a large live deployment floor and requires strong communication, critical thinking, data analysis, and adaptability in a fast-changing operations environment.

Owns foundational business operations for a robotics company, including vendor management, site leasing, spending, contracts, logistics, and ambiguous cross-functional initiatives. The role supports engineers and technicians by taking operational work off their plate, establishing processes, and driving problems to resolution in a small, fast-moving environment.