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Haveron James Linkedin · Posted 15d ago

Robotics Systems Engineer (Perception Infrastructure & Hardware Integration) MA - Start Up

Massachusetts, United States

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Indexed description

Robotics Perception Engineer

Massachusetts | Onsite

$140k–$200k + Equity


Most robotics companies are still stuck choosing between research and deployment.


This team refuses to.


They’re building real robots, deploying them into customer environments, collecting data at scale, and using those learnings to continuously improve the platform.


The result?


You'll work on systems that leave the lab, operate in the real world, and directly influence the next generation of intelligent robotics.


This isn't a pure computer vision role.


And it's not a research-only position.


You'll own critical sensing infrastructure that sits between the robot and the intelligence stack.


Think:


• Multi-camera and LiDAR integration

• Sensor calibration and synchronization

• Perception data pipelines

• Point-cloud generation

• Hardware/software integration

• Reliability, diagnostics and runtime debugging

• Real-world deployment and robot performance


You'll work alongside robotics, controls, autonomy and AI engineers, with ownership that would normally take years to earn at a larger company.


The engineers who thrive here are the ones who enjoy being hands-on with real robots.


The people who want to understand why something failed, trace it through hardware and software, fix it, and make sure it never happens again.


You'll likely be a strong fit if you've worked in:


  • Robotics Startups
  • Autonomous Vehicles
  • Warehouse Robotics
  • Industrial Automation
  • Medical Robotics
  • Drone Robotics
  • Sensor-Heavy Autonomous Systems


Particularly if you've built and deployed systems involving:


• RGB-D Cameras

• LiDAR

• Point Clouds

• Sensor Fusion

• Calibration & Synchronization

• ROS / Robotics Software

• Python and/or C++


If you enjoy owning systems end-to-end, working directly with physical robots, and solving difficult engineering problems that actually matter in production, I'd love to tell you more.

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