Software Engineer, Robotics, Infrastructure Quality and Productivity, DeepMind

Requirements

• Bachelor’s degree in Computer Science, Robotics, or equivalent practical experience.
• 2 years of experience in software engineering, DevOps, CI/CD infrastructure, or engineering productivity.
• 2 years of experience building and maintaining automated testing frameworks and release pipelines.
• 2 years of C++ and Python programming experience.
• 1 year of experience with large-scale model training, serving, and evaluation systems or production ML workflows.
• 1 year of experience in embedded systems or Hardware-in-the-Loop (HIL) testing.

Nice to haves

• Industry experience in robotics or automation systems.
• Experience maintaining build, release, and deployment systems across heterogeneous architectures (e.g., TPUs, GPUs, edge devices) and custom Linux environments.
• Experience with advanced AI tooling and automation specifically focused on engineering productivity and software quality.
• Team player, willing to learn from and with others, and work closely with research, hardware, and operations colleagues.
• Comfortable working with a geographically distributed team in a fast-changing environment.

What you'll be doing

• Implement and support testing environments across the full robotics stack.
• Build and manage robust CI/CD pipelines, staging environments, and release workflows.
• Monitor engineering productivity metrics and build tooling to eliminate bottlenecks and reduce friction across teams.
• Collaborate with senior engineers to identify and integrate automation and AI tooling across our ecosystem.

Perks and Benefits

• Opportunity to work with cutting-edge AI technology.
• Exciting challenges with a mission-driven team.
• Diverse learning opportunities and varied career pathways.
• A global company committed to diversity and equal opportunity.