Robotics AI Engineer - Robot Learning

Janicki Industries is building robotics technology that enables robots to acquire new skills from human demonstrations and vision-language-action learning, then apply those capabilities on real manufacturing and automation hardware.

This Robotics AI Engineer position is based in Sedro-Woolley, WA 98284 (hybrid). You will work with a cross-functional team to connect perception, learning models, and robotics engineering so trained behaviors can be evaluated on actual machines and iteratively improved.

• Build technologies that help robots learn new skills and execute them in physical tasks.
• Develop and train neural networks that map visual information and human demonstrations to robot actions.
• Apply and iterate on robot learning approaches including imitation learning
  , reinforcement learning
  , and robot foundation models
  .
• Create training pipelines using camera data and human teleoperation
  .
• Explore and adapt VLA (vision-language-action) methods, including NVIDIA Isaac GR00T
  , to teach manipulation skills.
• Use NVIDIA Isaac Sim
  , NVIDIA Isaac Lab
  , and Omniverse to build realistic environments, generate training data, and train and evaluate robotic behaviors before hardware deployment.
• Develop perception systems so robots can recognize objects, understand surroundings, and make decisions based on visual input.
• Work with perception technologies such as YOLO
  , image segmentation
  , and depth sensing
  .
• Collaborate with robotics, mechanical, and electrical engineers to deploy models to machines, measure performance, and improve capabilities over time.
• Help shape the technical approach by selecting tools and models and determining how emerging AI techniques can be applied to real manufacturing and automation problems.

• 2+ years of relevant engineering experience spanning robotics and AI (preferred).
• Bachelor’s degree in Mechanical Engineering, Computer Science, or a closely related field from an ABET-accredited program (required).
• Strong foundations in machine learning
  , software engineering
  , or robotics
  , plus hands‑on experience in at least one area such as:
  • Robotics simulation and learning environments, particularly NVIDIA Isaac Sim, NVIDIA Isaac Lab, Omniverse, or similar platforms.
  • Training neural networks for robotic manipulation, imitation learning, reinforcement learning, or learning from human demonstrations.
  • Computer vision and perception, including object detection, segmentation, and related modeling work.
• Especially interested in experience with vision-language-action models
  , teleoperation-based training
  , NVIDIA Isaac GR00T
  , or robotic systems that learn through experience.

• NVIDIA Isaac GR00T
• NVIDIA Isaac Sim
• NVIDIA Isaac Lab
• Omniverse
• Python, Py Torch
• YOLO
• Image segmentation
• Depth sensing

• Proposed annual base salary range: $120,000–$220,000 plus a discretionary bonus.
• 401(k) matching and health benefits, including vacation and employer-contributed insurance benefits.
• Final compensation is subject to experience, qualifications, and approval.
• Salary varies by geographic region and job experience; detailed compensation data will be shared during recruiting for the specific location.

• Medical, Dental, and Vision insurance with employer contribution.
• Disability insurance plus Life/AD&D insurance.
• HSA with employer contribution and FSA (Flexible Savings Account).
• Paid time off and paid holidays, including two floating holidays.
• Education reimbursement program.
• Several shift options and premium pay for off-shifts.
• Premium pay for security clearance if applicable.

• Headquarters:
  Sedro-Woolley, Washington
  , in the Skagit Valley at the edge of the North Cascades.
• Greater Seattle or Puget Sound area candidates can spend occasional time with the team and physical hardware in Sedro-Woolley.
• Hybrid and remote options are available, including engineers in the San Francisco Bay Area
  .
• Monthly visits to Washington facilities help maintain connection with the team and machines being developed.