Jobs at Watney Robotics Inc

Design intuitive interfaces for teleoperation, data exploration, annotation, fleet coordination, scheduling, and task management across autonomous robotic systems. Collaborate with operators and engineers to understand complex workflows, prototype and test solutions with technical users, and ship and refine designs for a growing deployed robot fleet. The role spans software interfaces and physical interactions, including controls used to operate and coordinate robots.

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.

Build Watney’s finance function from the ground up, including financial planning, budgeting, reporting, cash management, forecasting, and spend-approval processes. The Finance Manager will guide leadership decisions, model cash and capital needs through manufacturing or hardware scale-up, and support site leases, manufacturer builds, and vendor contract negotiations.

Own end-to-end physical operations for Watney’s autonomous robot fleet, including allocation, readiness, deployment, and customer-site launches. Establish sites through construction, security, network, and vendor coordination; manage production pilots to completion; build scheduling processes; and coordinate escalations among technicians, engineering, and site logistics. The role requires hands-on work with live hardware and construction environments, including shift-based or 24/7 operations.

Own 0-to-1 hardware programs that teach autonomous robots new tasks. Responsibilities include developing schedules and budgets, coordinating engineers and cross-functional teams, taking hardware from initial build through validation, and establishing processes where none exist. The role may expand to include robot build and manufacturing programs.

Source technical, go-to-market, operational, and leadership candidates across multiple searches. Develop sourcing strategies, engage passive candidates through outreach, referrals, and communities, and collaborate with founders and hiring managers on complex technical roles. Maintain organized, candidate-friendly recruiting processes and help establish operational recruiting excellence as the talent function scales.

The Recruiter will manage the candidate experience from outreach to offer, support sourcing efforts, coordinate interviews, and maintain accurate records in the ATS.

Deployment Strategists at Watney implement robotics for major enterprises by managing deployments, aligning customer needs with engineering solutions, and presenting strategies to executives.

Design and build off-robot full-stack systems including video annotation platforms, VR teleoperation interfaces, secure customer portals, and cloud infrastructure for ingesting and processing petabyte-scale telemetry in real time.

Design, own, and scale training and inference infrastructure for a robotic fleet. Build data pipelines, optimize distributed training and GPU utilization, speed experiment launch and reproducibility, and contribute to core training code.

Build and own end-to-end off-robot systems: develop video-heavy annotation and VR teleoperation platforms, architect cloud infrastructure and high-throughput telemetry pipelines, maintain live systems with integration testing and OpenTelemetry, and scale production deployments for autonomous robotics.