Senior Software Engineer, Ai Frameworks

Sheto

Base: 152,000 usd - 241,500 usd for level 3, 184,0...
Integration with ai frameworks
Distributed systems concepts
Kubernetes deployment and operation
You will build production-grade software that enables seamless adoption, scaling, and operation of Grove capabilities across environments such as Dynamo, llm-d, Ray, PyTorch, and other emerging frameworks in the AI ecosystem

Job Summary

  • You will build production-grade software that enables seamless adoption, scaling, and operation of Grove capabilities across environments such as Dynamo, llm-d, Ray, PyTorch, and other emerging frameworks in the AI ecosystem.
  • You will collaborate across engineering teams and the open-source community to deliver robust integrations, reference implementations, and developer-focused tooling.
  • Your base salary will be determined based on your location, experience, and the pay of employees in similar positions, with eligibility for equity and benefits.

Matching Summary

You will build production-grade software that enables seamless adoption, scaling, and operation of Grove capabilities across environments such as Dynamo, llm-d, Ray, PyTorch, and other emerging frameworks in the AI ecosystem.

Salary

Base: 152,000 USD - 241,500 USD for Level 3, 184,000 USD - 287,500 USD for Level 4; Bonus/Equity: Eligible for equity; Benefits: Eligible for benefits

Skills & Requirements

Must-have

  • Integration with AI frameworks
  • Distributed systems concepts
  • Kubernetes deployment and operation
  • Software engineering in Go, C++, Python
  • Performance optimization for AI workloads
  • Collaboration with open-source communities

Nice-to-have

  • Open-source contributions to AI projects
  • Experience with large-scale model serving
  • Developer tooling and SDK building
  • GPU performance profiling and optimization
  • Compatibility testing across dependencies
  • Strong communication and documentation skills

Key Requirements

  • BS/MS/PhD in Computer Science or related field
  • 5+ years of relevant experience
  • Hands-on experience with major AI frameworks
  • Practical Kubernetes experience
  • Strong software engineering background
  • Experience with distributed training/inference

Work Rights

Not specified

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