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Senior AI Engineer - Physical AI

Job in Boston, Suffolk County, Massachusetts, 02298, USA
Listing for: Scion Staffing
Full Time position
Listed on 2026-06-06
Job specializations:
  • Engineering
    Robotics, AI Engineer
Salary/Wage Range or Industry Benchmark: 350000 USD Yearly USD 350000.00 YEAR
Job Description & How to Apply Below

Scion Technology has been engaged to conduct a search for an experienced Sr. AI Engineer (Physical AI) for our client, a pioneering team pushing the boundaries of robotics in Boston!
This is a full-time, direct hire position offering a hybrid schedule in North Reading, MA.

POSITION OVERVIEW

Develop and deploy innovative AI solutions for industrial robots and autonomous mobile platforms. Craft real-world AI models that enable robots to see, understand, and navigate complex environments safely and reliably.

PERKS
  • Competitive annual salary up to $350k/yr (depending on experience) + bonus & equity
  • Comprehensive medical, dental, and vision insurance
  • Be at the forefront of industrial automation innovation
  • Work on mature, deployed platforms that solve real-world problems, directly impacting industries worldwide
  • Work across diverse cutting-edge projects, from perception to autonomous navigation and manipulation
RESPONSIBILITIES
  • Lead the design, development, and deployment of robust physical AI systems that empower robots to detect obstacles, recognize objects, estimate 3D poses, and localize within dynamic settings.
  • Build and optimize deep learning models utilizing sensors such as RGBD cameras, LiDAR, and Time-of-Flight sensors, ensuring they operate efficiently in real-world industrial environments.
  • Implement multi-modal perception frameworks, integrating vision, sensor fusion, SLAM, and localization techniques, with a focus on trade-offs between performance and cost.
  • Take AI models from research prototypes through rigorous testing, validation, and deployment into production, supporting ongoing operational performance and safety.
  • Collaborate closely with R&D teams at Universal Robots and Mobile Industrial Robots, helping shape next-generation collaborative and autonomous robotic solutions.
  • Employ scientific rigor to analyze and improve model performance, establish meaningful metrics, and ensure models meet safety and reliability standards critical for industrial applications.
QUALIFICATIONS
  • Master’s degree strongly preferred
  • Proven experience building and deploying deep learning-based computer vision systems (object detection, image segmentation, etc.) for physical robotics applications
  • Hands‑on expertise with sensor technologies, including RGBD cameras, LiDAR, ToF sensors, and sensor fusion techniques
  • Practical experience shipping AI-powered products to production, supporting field operations, and ensuring robustness in customer environments
  • Strong software engineering fundamentals with proficiency in Python and C++, integrating AI models into robotic software stacks such as ROS/ROS2
  • Skilled in model training, fine‑tuning, and evaluation, with an emphasis on maintaining rigorous validation standards
  • Familiarity with simulation environments and tools such as NVIDIA Isaac platform, Gazebo, or similar for accelerated testing and validation
  • Knowledge of SLAM algorithms, localization strategies, and their associated trade-offs in industrial and mobile robotics contexts
  • Demonstrated ability to work at the intersection of AI, perception, and robotics hardware, with experience working on industrial robotic arms or autonomous mobile robots (AMRs)
  • Passion for emerging fields like Vision‑Language‑Action (VLA) models and their application to robotics
COMPENSATION & BENEFITS

This full‑time position offers an annual base salary up to $350k, commensurate with experience, plus bonus and equity opportunities. The organization provides a robust benefits package that includes comprehensive medical, dental, and vision coverage in addition to paid time off.

Equal opportunity employer; no discrimination.

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Position Requirements
10+ Years work experience
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