• Lead end-to-end software architecture for mobile
robotics platforms — perception, localization/SLAM, navigation, motion control,
and safety systems.
• Own design decisions around ROS/ROS 2 middleware,
sensor fusion pipelines, and modular hardware abstraction layers.
• Act as technical lead for fleet-level coordination and
communication interfaces (REST, MQTT, CAN).
• Set technical direction and coding/architecture
standards for the team; review designs and code from other engineers.
• Drive integration of Vision-Language-Action (VLA) and
Vision-Language Model (VLM) capabilities into the autonomy stack for tasks such
as semantic scene understanding, instruction-conditioned navigation, and
object/task-level reasoning.
• Own the Visual SLAM pipeline (e.g., ORB-SLAM, VINS,
RTAB-Map or equivalent) for robust localization and mapping across dynamic,
GPS-denied, and visually repetitive warehouse/industrial environments.
• Evaluate, fine-tune, and productionize
foundation-model-based perception and reasoning components, balancing on-robot
compute constraints with model accuracy and latency.
• Integrate and validate AI/ML models in production for
localization, obstacle detection, and object/pallet identification.
• Take direct ownership of resolving deployment
challenges encountered during customer site rollouts — environmental edge
cases, network/connectivity constraints, sensor degradation, and unexpected
operational scenarios.
• Drive the verification & validation (V&V)
strategy for autonomous robot behavior across simulated and real environments
prior to and during deployment.
• Design for graceful failure handling and energy-aware
shutdown logic to improve field reliability and serviceability
• Work closely with product managers and hardware teams
to translate customer requirements into scalable, field-deployable solutions.
• Mentor and grow junior and mid-level engineers;
document complex subsystems to support organizational knowledge-sharing.
Requirements
• 4-6 years of experience in mobile robotics / autonomous
systems software, with demonstrated ownership of production AMR deployments.
• Strong hands-on experience with ROS / ROS 2, including
middleware architecture and sensor fusion.
• Proven experience with Visual SLAM techniques and
libraries, and a solid grasp of localization and mapping in real-world,
GPS-denied environments.
• Working knowledge of Vision-Language-Action (VLA)
and/or Vision-Language Model (VLM) approaches, and how to integrate
foundation-model-based perception into constrained, real-time robotic systems.
• Practical experience with controllers such as PID,
Stanley, or Model Predictive Control (MPC) for motion/velocity control.
• Demonstrated track record of diagnosing and resolving
field/deployment issues in live customer or warehouse environments (not
simulation-only experience).
• Proficiency in Python and C++ for robotics software
development; familiarity with OpenCV, NumPy/SciPy, and standard ROS toolchains.
• Experience with fleet-level communication protocols
(REST, MQTT, CAN) and hardware-in-the-loop or simulation-based testing
frameworks.
• Prior experience leading or mentoring a small technical
team, or clear readiness to step into a team-lead capacity.