Figure 02

Education Requirements:

• Bachelor's or Master's degree in Computer Science, Robotics, Engineering, or a related field

Experience Requirements:

• Track record building and maintaining distributed systems

• Excellent communication skills

• Thrive in a high pace environment, where solutions are often unclear and require exploration

Responsibilities:

• Evaluate Model Performance

• Framework & Tooling Development

• Baseline & Benchmark Creation

• Continuous Evaluation & Monitoring

• Collaboration with Engineering Teams

Experience Requirements:

• Track record of training large scale deep learning models

• Excellent communication skills

• Thrive in a high pace environment, where solutions are often unclear and require exploration

Responsibilities:

• Architect and maintain scalable deep learning frameworks for training on massive robot datasets

• Implement distributed training and parallelization strategies to reduce model development cycles

• Integrate data from various domains (e.g., vision, audio, and sensor inputs) into unified, high throughput deep learning pipelines

• Leverage and contribute to internal tooling for data processing, model experimentation, and continuous integration

Education Requirements:

• Bachelor's or Master's degree in Computer Science, Robotics, Engineering, or a related field

Experience Requirements:

• Minimum of 4 years of professional, full-time experience building reliable backend systems

• Experience with Python and an ML framework (PyTorch, JAX, TensorFlow, etc.)

• Experience with Linux and command line tools

• Experience using and managing data stores (Postgres, MySQL, ElasticSearch, Redis, etc.)

Responsibilities:

• Design and implement software tools used to collect and manage data, train deep neural networks and deploy them on humanoid robots

• Collaborate with our AI and robotics engineers to identify software requirements and take the lead on implementing them

• Run and maintain reliable backend distributed systems at scale

• Collaborate with our customers on defining and executing the software strategy for deploying humanoid robots in production