AT
Senior Engineer
Accepting applicationsAcceler8 Talent · North Reading, MA
Full-Time Mid_senior AIaiarmatesic
Posted
6d ago
Category
Manufacturing
Experience
Mid_senior
Country
United States
Senior AI Engineer — Physical AI / Robotics Systems
We’re hiring a senior AI engineer to work on real-world robotic systems deployed in production.
This role sits within building full-stack AI systems that combine perception, autonomy, and decision-making across robot arms and mobile platforms.
What you’ll actually do:
Build and ship AI systems that operate in physical environments (not just offline models)
Work across perception, sensor fusion, and decision-making pipelines (RGB-D, LiDAR, multi-sensor setups)
Develop and deploy models for tasks like localization, manipulation, and navigation
Own systems end-to-end — from data → model → deployment → real-world iteration
Work directly with hardware in a 20,000+ sq ft robotics lab
What matters:
You’ve personally built and deployed AI systems in the real world
Strong depth across modern AI/ML (not just theory or research)
Experience with robotics, autonomy, or physical systems (Boston Dynamics, Amazon Robotics, etc. is the right kind of background)
Comfortable working across the stack — models, data, systems, and deployment
High ownership, hands-on builder mindset
Environment:
North Reading, MA (onsite, hands-on with robots)
Real revenue and deployed systems
Small, high-caliber AI team working on real industrial impact
Partnerships with NVIDIA, Qualcomm, Broadcom
This is not a role for someone optimizing models in isolation — it’s for engineers who want to see their systems run on real machines, in real environments, with real constraints.
If that’s you (or someone you’d recommend), message me.
Show more Show less
We’re hiring a senior AI engineer to work on real-world robotic systems deployed in production.
This role sits within building full-stack AI systems that combine perception, autonomy, and decision-making across robot arms and mobile platforms.
What you’ll actually do:
Build and ship AI systems that operate in physical environments (not just offline models)
Work across perception, sensor fusion, and decision-making pipelines (RGB-D, LiDAR, multi-sensor setups)
Develop and deploy models for tasks like localization, manipulation, and navigation
Own systems end-to-end — from data → model → deployment → real-world iteration
Work directly with hardware in a 20,000+ sq ft robotics lab
What matters:
You’ve personally built and deployed AI systems in the real world
Strong depth across modern AI/ML (not just theory or research)
Experience with robotics, autonomy, or physical systems (Boston Dynamics, Amazon Robotics, etc. is the right kind of background)
Comfortable working across the stack — models, data, systems, and deployment
High ownership, hands-on builder mindset
Environment:
North Reading, MA (onsite, hands-on with robots)
Real revenue and deployed systems
Small, high-caliber AI team working on real industrial impact
Partnerships with NVIDIA, Qualcomm, Broadcom
This is not a role for someone optimizing models in isolation — it’s for engineers who want to see their systems run on real machines, in real environments, with real constraints.
If that’s you (or someone you’d recommend), message me.
Show more Show less
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