Senior Staff AI Software Engineer, Perception
Agility Robotics builds Digit, the world's first commercially deployed humanoid robot — already at work in real warehouses and manufacturing facilities today. Digit has proven itself in structured work cells, and now we're pushing beyond them: into open floors, shared aisles, and dynamic spaces where people, forklifts, and other robots are all moving at once. That shift raises the bar for perception dramatically — Digit needs to reliably understand and react to an environment that's no longer predictable or controlled.
That means perception isn't just about capability — it's about trust. Every person Digit works near is counting on our perception systems to see them, understand them, and never get it wrong, whether Digit is in a fixed work cell or navigating a busy, ever-changing facility. We're looking for a Senior Staff AI Software Engineer, Perception to own the technical vision and system architecture for how Digit perceives and stays safe as we take on these more dynamic, less constrained environments.
What You'll Do
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
Act as a senior technical mentor and partner to engineers and technical leads across the organization, and represent the architecture to executive leadership, partners, and customers as needed
What You Bring
8+ years in machine learning/perception for robotics, with a track record of defining system architecture
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
Experience making system-level tradeoffs across sensing modalities, redundancy, and compute constraints on embedded/real-time hardware
A track record of setting technical direction at an organization level
Publications in your field are a plus (CVPR, ICCV, RSS, ICRA preferred)
Nice to Haves
Direct experience supporting a safety case or certification submission
Experience architecting redundant or diverse sensing systems for safety-rated perception
Experience architecting perception systems for humanoid or legged robots specifically
Experience representing technical architecture to regulators, third-party certifiers, or safety auditors
Substantial experience with failure mode analysis (FMEA), hazard analysis, and safety case strategy for autonomous or robotic systems
Location
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.
Anticipated Base Salary Range
$238,000—$372,000 USD