Senior Solutions Architect, Embedded Physical AI

About the role

The team works where hardware bring-up meets deployment of robotics foundation models, turning research prototypes into systems that run in the field.

At a glance

What you will do

• Act as the main embedded systems expert for robotics partners working with edge AI hardware and SDKs.
• Help customers integrate real-time Linux, ROS 2, sensor pipelines and edge AI models into production stacks.
• Deploy and profile robotics foundation models on embedded computers, then advise customers on tradeoffs.
• Turn customer needs into practical architectures and pass field feedback to product and roadmap teams.

What they look for

• Degree in electrical engineering, computer engineering, computer science, robotics or a related field, or equal experience.
• At least 5 years of hands-on embedded systems work, including performance tuning and system-level debugging.
• Fluency in ROS 2 plus experience deploying autonomy stacks and sim-to-real validation.
• Experience integrating camera, LiDAR and IMU sensor pipelines.
• Strong communication skills for explaining complex technical ideas to researchers, engineers and business teams.

Nice to have

• Hands-on work with robotics libraries and simulation frameworks.
• Experience optimizing vision-language models or world models on edge platforms using quantization, compression or distillation.
• Familiarity with camera and sensor software stacks, ISP tuning or high-throughput video processing.
• Background in real-time, safety-aware robotics systems in autonomous vehicles or manufacturing.

Benefits

• Benefits package