Standard Bots
Standard Bots is a company focused on advancing AI in robotics. They have developed the RO1, a six-axis, programmable robotic arm that integrates AI to automate a wide range of manufacturing tasks such as CNC tending, case packing, deburring, inspection, and more. Their solution is designed to be powerful yet intuitive, aiming to make automation more accessible to both operators and developers. By providing automation tools that are easy to use and integrate, Standard Bots seeks to enhance productivity and safety in manufacturing environments. Additionally, they focus on expanding the potential use cases of robotics beyond manufacturing, improving human productivity and offering solutions that can aid in everyday tasks. With a recent funding of $63 million, they are poised to accelerate developments in AI and robotics, creating smarter robots for a safer and brighter future.
Senior Software Engineer - ML Infrastructure
March 4
Standard Bots
Standard Bots is a company focused on advancing AI in robotics. They have developed the RO1, a six-axis, programmable robotic arm that integrates AI to automate a wide range of manufacturing tasks such as CNC tending, case packing, deburring, inspection, and more. Their solution is designed to be powerful yet intuitive, aiming to make automation more accessible to both operators and developers. By providing automation tools that are easy to use and integrate, Standard Bots seeks to enhance productivity and safety in manufacturing environments. Additionally, they focus on expanding the potential use cases of robotics beyond manufacturing, improving human productivity and offering solutions that can aid in everyday tasks. With a recent funding of $63 million, they are poised to accelerate developments in AI and robotics, creating smarter robots for a safer and brighter future.
📋 Description
• Design and implement scalable infrastructure for our AI deployment pipeline: • Build and maintain distributed compute clusters • Optimize resource allocation and automate AI deployment workflows • Implement CI/CD pipelines and automated testing for AI models • Scale our cloud infrastructure with a focus on: • Distributed GPU training coordination and synchronization • Data compression and streaming solutions for high-bandwidth sensor data • Optimize costs across cloud providers • Design and implement observability systems to: • Monitor system health and resource utilization for training jobs • Automatically detect and diagnose infrastructure issues • Collaborate with ML engineers to understand and address infrastructure needs
🎯 Requirements
• 5+ years of software engineering experience, DevOps or ML Ops experience is a plus • Proven track record with data pipelines and distributed systems • Experience with cloud platforms (AWS/GCP/Azure) and container orchestration (Kubernetes) • Experience building ML/AI infrastructure
🏖️ Benefits
• Employee Stock Options • Paid time off • Medical/dental/vision insurance • Life insurance • Disability insurance • 401(k)
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