Atlas ML Software Engineer - Large Scale Behavior Cloning

Job description

Job responsibilities

• Actively participate in ongoing R&D initiatives, collaborating closely with Research Scientists and Infrastructure Engineers.
• Develop tools to query and gain insights into data, training, and testing performance metrics.
• Analyze and track failures in experimental robot runs.
• Work with robot simulation software to develop scenarios, tests, and data collection tools.
• Build internal tools and platforms that accelerate the collect, train, and evaluate loop.
• Develop software that gives researchers and engineers immediate visibility into policy performance, data quality, and collection gaps.
• Work across hardware and simulation environments to support evaluation and rapid experimentation.
• Maintain and improve the code repository, ensuring its ongoing maintenance and improvement to meet evolving needs (CI/CD, testing, deployment).

Job requirements

• 3+ years of experience developing software for robotics, ML infrastructure, or related fields.
• Strong proficiency in Python, familiarity with C++
• Experience building internal tools, dashboards, or GUI applications.
• Familiarity with ML workflows including training pipelines, experiment tracking, and dataset management.
• Experience working on real-world robotics systems, whether in industry, research, or academic settings.
• Experience with data analysis and visualization.
• Experience with cloud infrastructure, databases, Docker, and job orchestration.
• Strong communication and collaboration skills.