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What you’ll be doing:
Lead the design & development of an AI platform to enable industrial grade robotics solution
Deploy solutions to enable customers to run their AI workflows on the platform
Debug, and optimize full software stack from front-end to backend
Work closely with dependent teams to drive the project.
Responsible for issue management during integration, testing, deployment & quality assurance.
What we need to see:
BS, MS, or PhD degree in Computer Science, Electrical Engineering, Computer Engineering, or related field (or equivalent experience)
5+ years of work experience. At least 2+ years of experience working on cloud platforms
Experience with Docker & Kubernetes used for scalable fault-tolerant service deployments
Excellent Python programming skills & proficient in other scripting languages
Strong data skills & software design
Ability to learn fast & debug complex system issues
Ability to adapt quickly to varying roles & responsibilities
Strong communication skills & ability to work across teams
Ways to stand out from the crowd:
Proficiency with container orchestration system such as Kubernetes
Deployment with various cloud service providers such as AWS, GCP and Microsoft Azure
Hands-on experience building data platform to scale the AI workflows
Display technical ownership in a cross organizational, multi-disciplinary team.
Practice leading a software project involving 4 or more engineers.
You will also be eligible for equity and .
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