Software Engineer, ML Infrastructure
May 17
🏢 In-office - Bay Area
Description
• In this role, you will be responsible for building out infrastructure for the training and deployment of large-scale robotic foundation models. Your work begins early in the process of scoping projects with our customers and partners, and drives impact by demonstrating our technology and capabilities. With a strong focus on creating utility value for partners and customers, you will help determine data and ML infrastructure requirements, write clear specifications, review designs, and contribute to our engineering teams to design and build successful solutions. You will contribute to a project with several German industry partners and to creating a data ecosystem for robotics.
Requirements
• Four-year degree in Computer Science • Experience collaborating on medium to large software projects for at least 4 years • Experience in programming Python / C++ • Experience with Kubernetes • Demonstrable experience with Google cloud computing (Google Cloud), containerization and orchestration (Kubernetes, Docker), service-oriented architectures, and • Experience with machine learning frameworks (Tensorflow, JAX)
Benefits
• 11 paid holidays • Generous Accrued Time Off increasing with years of service • Generous paid sick time • Annual day of service
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