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Staff AI Software Engineer - Edge Model Optimization & Deployment at field-ai
field-aiSeattle, Washington·6d ago
LeadFull-timePythonC++TensorFlowPyTorchAIML
Salary Range
$153,000 - $207,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
Field AI is seeking a Staff AI Engineer to join our team. This role focuses on developing and deploying AI models for autonomous robots operating in complex environments. You will work on optimizing models for real-time inference on edge hardware.
Key Responsibilities
- →Convert and optimize 2D/3D CNNs and Transformer-based models for real-time inference on Jetson/Orin platforms
- →Apply model compression techniques to meet strict constraints on latency, memory, bandwidth, and power
- →Develop custom TensorRT plugins and CUDA kernels for performance-critical components
- →Integrate optimized models into the broader robotic system using ROS nodes and interfaces
- →Build benchmarks, profile and debug end-to-end inference pipelines
- →Collaborate with AI researchers, robotics engineers, and hardware teams
- →Ensure reliability and stability of deployed models in challenging environments
Requirements
- ✓5+ years of professional experience developing and deploying deep learning models for edge systems
- ✓BS, MS, PhD, or equivalent experience in Computer Science, Robotics, or related field
- ✓Strong proficiency in PyTorch, C++, Python, and CUDA
- ✓Hands-on experience with TensorRT, ONNX, and Triton
- ✓Proven experience applying model optimization techniques in production systems
- ✓Deep understanding of hardware constraints and performance tuning on Jetson/ARM platforms
- ✓Experience integrating AI models into ROS-based robotic systems
- ✓Ability to work independently in a fast-paced, cross-functional environment
