Senior Staff AI Software Engineer, Perception
Agility Robotics - Fremont, CA
Hiring: Senior Staff AI Software Engineer, Perception Company: Agility Robotics Location: Fremont, CA Job Posted Time: 2026-09-03 10:43:38 Employment Type: Full-time / Remote Target Skills & Keywords : AI, Embedded Systems, Machine Learning, React, Systems Engineering About the job Experience: •8+ years in machine learning/perception for robotics, with a track record of defining system architecture Required Skills: •Own the technical vision and system architecture for Perception that enables safety and efficiency, defining how Digit will perceive and reason about humans and hazards as it expands from structured work cells into open, dynamic environments •Analyze key architectural tradeoffs across sensing modalities, model design, redundancy, and compute budget, balancing safety, latency, and real-world robustness •Stay hands-on with development to prototype, validate, or build critical pieces yourself •Partner with functional safety and systems engineering to define the safety case strategy, identifying what architecture and evidence will be required •Support failure mode and hazard analysis at the system level, shaping which risks the architecture must design around •Evaluate emerging research and technology, and decide what's worth adopting into future robot architectures •Set standards for verification and validation of ML-based perception systems, especially for rare and safety-critical scenarios •Collaborate across navigation, controls, and hardware to make sure the perception architecture serves the whole robot Qualifications: •Master's or Ph.D. in Artificial Intelligence, Robotics, Computer Science, or a related field, with a strong foundation in machine learning, robotics, and intelligent systems •Demonstrated experience architecting ML/perception systems for safety-critical or safety-rated contexts — human detection, functional safety, automotive or robotics or a comparable regulated domain •Deep expertise in deep convolutional neural networks, multi-object tracking, data association, supervised learning, and pose estimation, with strong intuition for where these approaches break down in unpredictable, real-world conditions •A track record of setting technical direction at an organization level •Publications in your field are a plus (CVPR, ICCV, RSS, ICRA preferred) •Direct experience supporting a safety case or certification submission •Substantial experience with failure mode analysis (FMEA), hazard analysis, and safety case strategy for autonomous or robotic systems •This is a remote role with the option to work hybrid if a commutable distance from our Salem, OR, Pittsburgh, PA, or Fremont, CA offices. •The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future. Compensation: •$238,000 - $372,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!