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

Agility Robotics is deploying humanoid robots that are solving real-world challenges in logistics and manufacturing. Perceiving and understanding the world is critical to Digit's success in these applications. The Perception team is looking for a staff software engineer to own the design and development of localization and mapping algorithms.

About the Work

As technical lead you will own the architecture and technical roadmap for the localization and mapping team
Design, develop, and deploy algorithms that enable large scale warehouse navigation, collision aware motion planning in dynamic environments, and scene understanding
Drive the development of state of the art perception algorithms, from initial research and prototyping to deployment
Promote best practices in architecture, design, and testing to deliver high-quality, scalable software
Collaborate with navigation, manipulation and hardware teams to align perception capabilities with product requirements

About You

5+ years of experience deploying localization and mapping algorithms on mobile robots with at least a year of experience in a technical leadership role
Strong mathematical fundamentals in 3D geometry, linear algebra, probability theory, and numerical optimization
Deep proficiency in related technical areas such as (but not limited to) factor graphs, visual/LiDAR inertial odometry, bundle adjustment, sensor fusion, and filtering
Familiar with local obstacle map representations such as voxel maps and truncated/euclidian signed distance fields
Experience designing and optimizing algorithms for efficient execution across CPU and GPU architectures

Bonus Qualifications:

Experience with machine learning based SLAM approaches
Experience in 6 DOF object tracking
Publications in your field (CVPR, ICCV, RSS, ICRA preferred)

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 twice 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.

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.

Apply Now: https://grnh.se/b444bbd04us