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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 and develop bare-metal firmware and low-level drivers, lead board bring-up, build and automate HIL test rigs, optimize low-level communication stacks (I2C/SPI/CAN), and collaborate with CMs/OEMs for chip and board validation.

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.

Build and maintain embedded software for autonomous robotic systems: hardware bring-up with CMs/OEMs, develop and maintain embedded Rust OS (pathOS), create automated HIL integration tests, and prototype/validate new sensors with ML and mechanical teams.

Build and scale the perception data engine and infrastructure: petabyte-scale multimodal ingestion pipelines, automated annotation and feature extraction, continuous evaluation and deterministic regression testing, and telemetry/observability to monitor model performance and data drift for autonomous robots.

Design, implement, and tune low-level and optimal controllers (PID, LQR, MPC) for real robots; build estimators, sensor-fusion, localization (SLAM/UKF) and path-planning; deploy and optimize real-time control code across a fleet; define fleet metrics and auto-tuning; collaborate with research, hardware, and deployment teams to diagnose and fix field failures.