Sr. Robot Learning Engineer — Planning & Manipulation

Anyware Robotics; Fremont (CA); Hybrid; USD 170,000 - 220,000; Full time

Benefits offered by this job

Equity

Health insurance

Daily meal credit

Paid time off

Paid sick leave

Job summary

Anyware Robotics in Fremont, CA is seeking a Sr. Robot Learning Engineer to advance planning and manipulation within AnywareOS. You will work to bring research ideas into production systems on real robots across multiple industries.

The role requires strong ML, robotics, and hands-on execution in a dynamic startup environment, collaborating with perception and controls teams to deliver production-ready models to customer sites.

Qualifications

• MS/PhD in ML, robotics, or a related field, or equivalent industry experience shipping learned robotic behaviors.
• Strong applied ML fundamentals in policy learning, neural networks, and training infrastructure.
• Experience with robot learning for manipulation or motion including sim-to-real transfer.
• Proficiency in Python and ML frameworks; C++ deployment experience.
• Understanding of classical planning (rule-based or optimization-based).
• Proven ability to take research ideas to production systems.

Responsibilities

• Improve learned policies for robot manipulation and augment production system performance.
• Contribute to manipulation capabilities: data collection, simulation, policy training, deployment validation.
• Use production multimodal data from real industrial operations across logistics and manufacturing.
• Collaborate with perception and controls engineers to close the loop between scene understanding and navigation.
• Ship models to production; work will run on robots at customer sites.

Skills

MS/PhD in ML, robotics, or related

Strong applied ML fundamentals

Experience with robot learning for/man

Proficiency in Python and ML Framework

Understanding of classical planning

Research→production system experience

Education

MS/PhD in ML, robotics, or related field

Tools

ROS2

Job description

Anyware Robotics Sr. Robot Learning Engineer — Planning & Manipulation Fremont, CA·Full time Company website Apply for Sr. Robot Learning Engineer — Planning & Manipulation

The robots run on AnywareOS, our industrial physical intelligence system. Its architecture is modular and designed to generalize across applications without reprogramming. We are looking for a Robot Learning Engineer to advance the planning and manipulation capabilities within AnywareOS. The ideal candidate is technically strong, hands-on, and comfortable working in a dynamic startup environment, with a demonstrated ability to go from research idea to production system.

About Anyware Robotics

Anyware Robotics builds general-purpose mobile manipulator robots for industrial applications. Our robots are trusted by customers across logistics, retail, and manufacturing, supporting applications such as truck unloading, mobile palletizing, and machine tending.

Description

What You'll Do

• Improve learned policies for robot manipulation that augment and extend our production system's performance envelope
• Contribute to our manipulation capabilities: data collection from deployed robots, physics simulation environments, policy training, and deployment validation
• Use production multimodal data — rich sensor streams from real industrial operations across logistics and manufacturing
• Collaborate with perception and controls engineers to close the loop between scene understanding, navigation, and other capabilities inside AnywareOS
• Ship models to production — your work will run on robots at customer sites across multiple industries, not just on a sim bench

Required Skills

• MS/PhD in ML, robotics, or related field (or equivalent industry experience shipping learned robotic behaviors)
• Strong applied ML fundamentals: policy learning (imitation learning, RL, or diffusion policies), neural network architecture design, training infrastructure
• Experience with robot learning for manipulation or motion: grasp synthesis, motion generation, trajectory optimization with learned components, or sim-to-real transfer
• Proficiency in Python and ML frameworks; comfortable with C++ for deployment-critical paths
• Understanding of classical planning (rule-based or optimization-based planning, task-space control)
• Demonstrated ability to go from research idea → working system

Nice to Have

• Prior work on force/compliance control or contact-rich manipulation
• Familiarity with ROS2 and real robot deployment pipelines
• Experience with sim-to-real transfer at scale (domain randomization, system identification)
• Background in warehouse/logistics robotics or unstructured environment manipulation
• Publications at RSS, CoRL, ICRA, or NeurIPS robotics workshops

Why Anyware

• Real Impact: Your work does not stop at a demo. Everything we build ships to real customer sites, where Pixmo is deployed in production solving real problems at scale. You will see your contributions running in production, not sitting in a lab.
• An A+ Team: Anyware Robotics is built by top talent. Our team has collectively earned six Best Paper Awards and Finalist honors, including the ICRA 2025 and ICRA 2024 Best Paper Awards.
• An A+ Robot: Pixmo won the MHI Best Innovation Award at both ProMat 2025 and MODEX 2026, the two largest logistics automation shows in North America. This is the first time in history a robotics company has won this prestigious award back-to-back. Pixmo also earned a 2026 RBR50 Robotics Innovation Award, naming it one of the 50 most innovative robotics solutions globally.
• Fast Growth: You will take on real ownership and real responsibility from day one. With the team doubling every year, there is plenty of room to step up and shine.
• Generous Equity: Every team member receives meaningful equity. We want the people building Anyware to share fully in what we create together.

Compensation

The expected salary range for this role is 170k – 220k USD/year, depending on experience and qualifications.

Additional compensation may include equity, benefits, or other incentives, where applicable.

• Comprehensive health insurance for you and your family
• Flexible Paid Time Off (PTO)
• Paid sick leave
• Daily meal credit

Equal Opportunity Statement

Anyware is an equal opportunity employer. We are committed to creating an inclusive workplace and welcome applicants from all backgrounds. Employment decisions are based on qualifications, merit, and business needs.