Robotics Software Engineer (Perception)

• The Autonomous Factory Systems team builds the software that gives Hadrian’s factories the ability to sense, decide, and act autonomously
• This includes the core robotics stack — perception, behaviors, planning, collision avoidance, and high-level control — alongside orchestration between robots and manufacturing machines and the hardware abstraction layer that connects our software to the machines on the floor
• Perception is central to the future of autonomous systems in the factory. In this role will lead the technical direction of the Autonomous Factory Systems organization’s Perception team
• You will be — defining the technical roadmap, shaping the architecture, and driving the work that will meaningfully expand what our robots can sense, understand, and act on
• Define and drive the multi-year technical roadmap for the Perception Team; align perception capabilities with the broader Autonomous Factory Systems strategy and surface upstream dependencies and risks early
• Lead architecture of the full perception pipeline — object detection and tracking, semantic and instance segmentation, 6-DoF pose estimation, and scene understanding — designed for the reliability and throughput demands of industrial environments
• Define the integration surface between perception and adjacent systems (motion planning, manipulation, control, simulation); establish clear, well-documented contracts that downstream teams can build against with confidence
• Drive sensor fusion strategy across LiDAR, structured light, RGB, and depth cameras; collaborate with hardware teams on sensor selection and calibration pipelines
• Establish rigorous practices for the team: data collection and labeling pipelines, model training and evaluation workflows, deployment practices, and validation criteria across simulation and real-world environments
• Raise the technical bar in hiring — define role requirements, conduct technical interviews, and assess candidates with the domain depth the field demands; mentor engineers across levels on perception fundamentals and engineering craft
• Represent perception in cross-functional design reviews and planning; engage with hardware vendors and research collaborators where relevant
• Continuously evaluate state-of-the-art research; make deliberate, justified decisions about when and how to incorporate advances into production systems

Benefits

• Relocation stipend if you’re moving from outside of LA
• 100% coverage of platinum medical, dental, vision, and life insurance plans for employees
  401k
• Flexible vacation policy- This is a deeply hands-on role for someone who brings sharp technical depth and the experience to drive alignment across teams working at the cutting edge of industrial robotics
• Expert-level command of 3D computer vision: point cloud processing, depth estimation, stereo and structured light systems, multi-view geometry, and/or LiDAR-based algorithms in production
• Experience in manufacturing, logistics, or other applied robotics environments — familiarity with the reliability and safety constraints that production deployment demands beyond the lab
• Strong machine learning foundations — model architecture, training infrastructure, and production deployment — with the judgment to know when and how to apply learned approaches versus classical methods
• Experience building and deploying real-time perception systems under hard latency and reliability constraints
• Proven ability to define architecture across a domain, make and communicate high-stakes technical decisions, and build alignment across teams and organizational boundaries
• 10+ years of software engineering in computer vision, robotics perception, or autonomous systems, with a track record of technical leadership at Staff or Principal level (or equivalent scope)
• Strong proficiency in C++ and Python; demonstrated ability to write production-quality code and hold a high bar in technical review
• Experience contributing meaningfully to technical hiring — defining role requirements, evaluating candidates, and helping raise team caliber over time
• M.S. or Ph.D. in Computer Science, Robotics, or a related field with a concentration in computer vision, machine learning, or perception
• Hands-on experience with sensor fusion techniques including multi-modal calibration, temporal alignment, and uncertainty quantification across sensor modalities
• Familiarity with model optimization for edge deployment — quantization, distillation, TensorRT, or equivalent
• Publications, patents, or significant open-source contributions in computer vision, robotics perception, or machine learning