Agility Robotics is a pioneer. Our robot, Digit, is the first to be sold into workplaces across the globe. Our team is differentiated by its expertise in imagining, engineering, and delivering robots with advanced mobility, dexterity, intelligence, and efficiency -- robots specifically designed to work alongside people, in spaces built for people. Every day, we break through engineering challenges and invent new solutions and capabilities that will one day make robots commonplace and approachable. This work is our passion and our responsibility: our mission is to make businesses more productive and people’s lives more fulfilling.
About the Role
We are looking for a Senior Software Engineer to join our Skills team, with a focus on integrating perception models into real-world robotic applications. In this role, you will be responsible for perception integration efforts to build robust, structured world representations that can be manipulated and reasoned about in robot workflows. You will own the performance of the perception stack on the robot, working hands-on with real hardware and validating your work in production workflows. You’ll collaborate closely with AIML teams and integrate both in-house and off-the-shelf methods to meet customer and task-specific requirements. This role is ideal for someone who wants to be close to the real system, enjoys solving end-to-end integration challenges, and thrives on making perception work reliably in production.
About the Work
- Develop robust perception algorithms and applications that leverage existing perception models and structure in the robot task (e.g., stacks, pallets, conveyors, flowracks) to improve robustness and simplify estimation
- Define and maintain reusable APIs that allow the task planner and skills layer to interact with a library of perception skills
- Integrate perception functions with other robot skills like manipulation behaviors using state machines, behavior trees, and task planners
- Manage datasets and run experiments to validate perception skills across diverse task conditions and variations
- Create modular interfaces for field engineers to tune perception skills within your validated specs without requiring software redeployment
- Contribute to defining our overall perception strategy within the skills layer, including library structure, abstraction layers, and tooling
About You
- BS or MS in Robotics or related field
- 5+ years of professional experience integrating perception models in real-world robotic applications
- Strong experience writing production-quality Python code
- Hands-on experience working with point clouds, RGBD cameras, and depth sensing in applied robotics contexts.
- Experience with perception libraries (OpenCV, Open3D, PCL, ROS perception, NumPy, scikit-image)
- You’re pragmatic: you know when to use task structure and prior knowledge to get the job done reliably
- You love solving hard perception problems, but your real passion is seeing those solutions work on a robot in the real world and having an impact
- You’re excited to work on hardware
- You enjoy debugging, testing, and iterating quickly in simulation and on the real robot
You Might Also Have
- Solid understanding of spatial reasoning (homogeneous transforms, TF trees, etc)
- Demonstrated ability to apply perception model outputs (detection, segmentation, pose estimation) in manipulation pipelines
- Experience with structured 3D estimation (plane fitting, normal estimation, voxel maps, etc)
Full-time Employees are eligible for 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:
- Exempt Employees: Flexible, unlimited PTO and 10 company holidays, including a winter shutdown.
- Non-Exempt Employees: 10 vacation days, paid sick leave, and 10 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.
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.
Apply Now: https://grnh.se/b444bbd04us
Top Skills
Similar Jobs
What you need to know about the Montreal Tech Scene
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal
