Sr. AI Engineer (Physical AI)

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.