A

Senior Robotics Machine Learning Engineer

alexander chapman United State
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AI Summary

Design, train, and deploy ML models for physical robots. Optimize distributed training and network communication. Collaborate on robotics software systems and product design. Full-time in Palo Alto.

Key Highlights
Train and deploy ML models on physical robots
Optimize distributed training and network communication
Collaborate on robotics software systems and product design
Key Responsibilities
Train and deploy machine learning models on physical robots
Design and build infrastructure for scalable ML on multi-GPU systems
Optimize distributed training, inference, and network communication for real-time robotics
Develop production data pipelines for robotics workloads
Work across robotics software systems, including ROS, firmware, embedded code, and the full software stack
Collaborate closely with the team on product design and stay connected to customer needs
Technical Skills Required
Machine Learning Multi-GPU Optimization Robotics Hardware Experience
Benefits & Perks
Visa sponsorship (O1 only)
Full-time in Palo Alto
Nice to Have
Production deployment ownership and responsibility for reliability
Building projects outside your main stack
CI/CD, cloud deployment, and software update systems

Job Description


Disclaimer: This role does not sponsor visa, please only apply if you have H-1B/O1/GC/Citizenship


Connect with me for more opportunities: https: //www.linkedin.com/in/arianit-krasniqi-b6ba66388/


I’m working with a robotics startup in Palo Alto, building the “PC of robotics” — an intuitive, open, and affordable general-purpose robot designed to make robotics accessible to everyone. They are a small, hands-on team solving challenging problems that have real impact, and they are looking for a Robotics ML Engineer who combines strong machine learning skills with solid engineering.


What You’ll Work On

• Train and deploy machine learning models that run on physical robots

• Design and build the infrastructure to support scalable ML on multi-GPU systems

• Optimize distributed training, inference, and network communication for real-time robotics

• Develop production data pipelines for robotics workloads

• Work across robotics software systems, including ROS, firmware, embedded code, and the full software stack

• Collaborate closely with the team on product design and stay connected to customer needs


Core Skills & Technologies

• ML research and large model training

• Multi-GPU optimization and distributed training

• Network engineering and high-throughput data transmission

• Data pipelines and production deployment

• Robotics hardware experience and software systems


Preferred Experience

• Production deployment ownership and responsibility for reliability

• Building projects outside your main stack (mobile apps, websites, side projects)

• CI/CD, cloud deployment, and software update systems


Who Thrives Here

• Excited by difficult, hands-on problems and able to debug across system layers

• Enjoys building unusual or unexpected solutions

• Energized by tackling hard technical challenges and working on meaningful products


This role is full-time in Palo Alto and can only transfer H1B visas or sponsor O1 visas.


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