Agility Robotics
Senior Staff AI Software Engineer, Perception
$238K–$372K
Hybrid- Any Office (Fremont, CA, Salem, OR, or Pittsburgh, PA) +2 · Remote · Senior Staff · Full-time · Posted Sep 1, 2026
- Location
- Hybrid- Any Office (Fremont, CA, Salem, OR, or Pittsburgh, PA)
Remote
Remote, Oregon, United States - Experience
- 8+ years in machine learning/perception for robotics.
- Education
- Master's or Ph.D. in Artificial Intelligence, Robotics, Computer Science, or a related field.
- Visa sponsorship
- Applicants must have current authorization to work in the United States.
About the job
Own the technical vision and architecture for Digit’s perception systems, enabling safe and robust operation around people and hazards in dynamic environments.
What you'll do
- Define perception architecture and balance sensing, model, redundancy, safety, latency, robustness, and compute tradeoffs.
- Partner with safety, systems, navigation, controls, and hardware teams on safety strategy, risk analysis, and system integration.
- Set verification and validation standards for ML perception; prototype critical components and guide technical direction across the organization.
What they ask for
- 8+ years in machine learning/perception for robotics, including defining system architecture.
- Master's or Ph.D. in Artificial Intelligence, Robotics, Computer Science, or a related field.
- Experience architecting ML/perception systems in safety-critical or safety-rated contexts.
- Expertise in deep convolutional neural networks, multi-object tracking, data association, supervised learning, and pose estimation.
Nice to have
- Publications in the field (CVPR, ICCV, RSS, ICRA preferred).
- Direct experience supporting a safety case or certification submission.
Pay
$238,000 — $372,000 USD (base salary)
Tools
deep convolutional neural networks, multi-object tracking, data association, supervised learning, pose estimation, embedded/real-time hardware
AI focus
Architect and validate ML-based robot perception for detecting and understanding humans and hazards in dynamic environments, with emphasis on safety and robustness.
Model-written summary · the original posting is authoritative