Agility Robotics Logo

Agility Robotics

Senior Staff Software Engineer, Motion Planning

Posted 2 Days Ago
Remote
Hiring Remotely in USA
216K-337K Annually
Senior level
Remote
Hiring Remotely in USA
216K-337K Annually
Senior level
Lead technical direction and deliver collision-free motion planning for humanoid robots. Design, implement, test, and deploy trajectory optimization, MPC, and sample-based planners; architect modular planning systems integrated with perception, state estimation, and control; develop algorithms robust to uncertainty; and provide cross-team technical leadership and mentorship.
The summary above was generated by AI

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.

About The Role

Our autonomy team is growing, and we are looking for an experienced technical leader to set the direction for motion planning on our humanoid robots. In this role you will own the technical roadmap for collision-free motion planning across whole-body motion, manipulation, grasping, and loco-manipulation. You will partner closely with our state estimation, navigation, controls, and behaviors teams to architect a planning stack that solves the hardest problems in real-world deployment: high degrees of freedom, dynamic constraints, environmental uncertainty, and reliability at scale.

About The Work

  • Own and drive the technical roadmap for collision-free motion planning across whole-body motion, manipulation, grasping, and loco-manipulation
  • Design, implement, test, and deploy motion planning and trajectory optimization algorithms for humanoid robots
  • Architect motion planning systems for modularity, observability, and clean integration with perception, state estimation, and control
  • Develop algorithms robust to environmental uncertainty and imperfect state estimation
  • Lead cross-team architectural decisions and collaborate with autonomy, controls, and behaviors teams to solve complex system-level problems

About You

  • Experience developing and deploying manipulation algorithms on high-DOF robots
  • Industry experience deploying mobile manipulation robots in real-world commercial applications
  • Proven expertise in sample-based motion planning, trajectory optimization, and model predictive control (MPC) with a track record of shipping these algorithms to production
  • Expertise developing planning and optimization algorithms subject to geometric and kinodynamic constraints, including contact, friction, and collision
  • Deep mathematical fundamentals in search and numerical optimization, including convex and non-convex problem formulation
  • Expertise in modern C++ (C++17/20) and Python for high-performance, multithreaded, real-time robotics applications
  • Track record architecting large-scale autonomy systems and defining clean interfaces across perception, estimation, planning, and control
  • Demonstrated technical leadership: setting direction for complex robotics systems, owning architecture, and mentoring senior engineers

Bonus Qualifications

  • Experience working with humanoid (or similar) robots
  • Experience with loco-manipulation: combined planning of locomotion and manipulation
  • Experience with whole-body model predictive control or whole-body trajectory optimization
  • Experience with task and motion planning (TAMP) under uncertainty
  • Experience leveraging machine learning or offline trajectory optimization to accelerate online planning
  • Experience with perception and scene understanding as it pertains to motion planning
  • Publications in top robotics venues (RSS, ICRA, IROS, etc. )

This is a fully 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
$216,000$337,000 USD

In 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.


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

Similar Jobs

6 Days Ago
Remote or Hybrid
San Francisco, CA, USA
158K-269K Annually
Mid level
158K-269K Annually
Mid level
Transportation
Design and develop motion planning software and algorithms for self-driving vehicles, collaborating with engineers and researchers while maintaining progress on long-term goals.
Top Skills: C++Python
An Hour Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
Senior level
Senior level
Cloud • Mobile • Software
Lead end-to-end delivery of complex enterprise SaaS implementations: define scope, timelines, governance; manage stakeholders and cross-functional teams; maintain timelines, risk logs, and change control in Salesforce; drive on-time go-lives, customer satisfaction, and handoff to Customer Success while improving implementation processes.
Top Skills: CRMSalesforce
An Hour Ago
In-Office or Remote
San Francisco, CA, USA
265K-332K Annually
Senior level
265K-332K Annually
Senior level
Consumer Web • Healthtech • Professional Services • Social Impact • Software
Lead development of AI-powered patient experiences: LLM-driven intake and therapist matching, between-session support, evaluation and safety infrastructure, outcome measurement, and HIPAA-compliant product delivery. Partner with Engineering, ML, Data Science, Clinical, and Legal to ship and monitor models in production, write evals, design red-teaming and human-in-the-loop flows, and measure patient outcomes.
Top Skills: Evaluation FrameworksFine-TuningHipaa-Compliant ArchitectureHuman-In-The-Loop SystemsLlmsPrompt ChainsPrompt EngineeringRag (Retrieval-Augmented Generation)

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account