Senior AI Software Engineer, Perception

Agility Robotics•Pittsburgh, PA

14h•$197,000 - $307,000•Hybrid

About The Position

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 environments that are 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 AI Software Engineer, Perception to own the design and implementation of the algorithms that let Digit perceive its surroundings and stay safe as we take on these more dynamic, less constrained environments.

Requirements

5+ years of experience in machine learning/perception for robotics
Master's or Ph.D. in Artificial Intelligence, Robotics, Computer Science, or a related discipline, with a strong foundation in machine learning, robotics, and intelligent systems
Demonstrated experience building ML/perception systems for safety-critical or safety-rated contexts — human detection, automotive, robotics, or a comparable regulated domain
Deep expertise in convolutional neural networks, multi-object tracking, human detection, data association, supervised learning, and pose estimation, with strong intuition for where these approaches break down in unpredictable, real-world conditions
Experience designing and optimizing algorithms for efficient execution across CPU and GPU architectures
Experience with MLOps, including data annotation services, data storage, model evaluation tools, and model deployment
Publications in the field (CVPR, ICCV, RSS, ICRA preferred)

Nice To Haves

Experience designing and implementing perception systems for humanoid or legged robots specifically
Experience building systems based on multiple sensor modalities including camera, lidar, infrared camera.
Knowledge in traditional geometric computer vision and sensor hardware etc.

Responsibilities

Design, develop, and deploy perception algorithms (e.g., human detection algorithm) that enable safety and efficiency, defining how Digit perceives and reasons about humans and hazards as it expands from structured work cells into open, dynamic environments
Drive adoption of state-of-the-art perception models by evaluating emerging research and technology and deciding what's worth building into future robot architectures
Promote best practices in model design, implementation and testing to deliver high-quality, scalable software
Optimize deep neural networks and associated data pipelines to run efficiently on embedded systems (e.g., model structure optimization, CUDA inference etc.)
Set standards for verification and validation of ML-based perception models, especially for rare and safety-critical scenarios
Collaborate across navigation, controls, and hardware teams to ensure the perception model serves the whole robot

Benefits

401(k) Plan: Includes a 6% company match.
Equity: Company stock options.
Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.
Benefit Start Date: Eligible for benefits on your first day of employment.
Well-Being Support: Employee Assistance Program (EAP).
Time Off: Flexible, unlimited PTO and 12 company holidays, including a winter shutdown (for Exempt Employees); 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually (for Non-Exempt Employees).
On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations.
Parental Leave: Generous paid parental leave programs.
Work Environment: A culture that supports flexible work arrangements.
Growth Opportunities: Professional development and tuition reimbursement programs.
Relocation Assistance: Provided for eligible roles.
Annual Discretionary Bonus: Provided for eligible roles.