Senior Staff AI Software Engineer, Perception
At a glance
Senior Machine Learning Engineering role at Agility Robotics. Remote, United States · $238,000–$372,000 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Set the perception architecture for Digit to detect people and hazards in open, changing spaces while supporting safety and efficiency
- Weigh sensor choices, model approaches, redundancy, and compute limits against safety, response time, and performance in real conditions
- Build or test critical perception components yourself, and set validation standards for rare, safety-critical situations
- Work with safety, systems, navigation, controls, and hardware teams on safety evidence and architecture that serves the robot
- Guide engineers and technical leads, assess emerging technologies, and explain architectural decisions to leaders, partners, and customers
What you bring
- At least eight years in robotics machine learning or perception, including responsibility for defining system architecture
- A master's or doctoral degree in AI, robotics, computer science, or a related area, with strong machine learning and robotics foundations
- You have designed ML perception systems for safety-critical settings, such as human detection in robotics or automotive applications
- Deep knowledge of convolutional networks, multi-object tracking, data association, supervised learning, and pose estimation
- You have made system-level decisions about sensors, redundancy, and compute on embedded or real-time hardware
Who this fits
This senior technical leadership role suits someone who can set organization-wide direction while staying hands-on with perception development. The position is remote within the United States, with hybrid work possible near Salem, Pittsburgh, or Fremont. Applicants need current authorization to work in the United States.
From the employer
Agility’s commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.
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 USDIn addition to base pay, our competitive total rewards package consists of the following for full-time employees:
- 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:
- Exempt Employees: Flexible, unlimited PTO and 12 company holidays, including a winter shutdown.
- Non-Exempt Employees: 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually.
- 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.
All of our roles are U.S.-based. Applicants must have current authorization to work in the United States.
Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment.
Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly.