Ai Infrastructure Engineer

Meshy

Bay Area, California, United States
Competitive salary; equity included; comprehensive...
Remote
Go or python programming proficiency
Kubernetes and docker experience
Gpu resource management and scheduling
Meshy, a leading 3D generative AI company headquartered in Silicon Valley, is seeking an AI Infrastructure Engineer to enhance their AI model serving stack and core engineering infrastructure. The role requires expertise in backend development and cloud-native platforms, with a focus on reliability, scalability, and cost efficiency in AI systems

Job Summary

  • This role sits at the intersection of platform engineering, site reliability, and applied ML systems to own the reliability and scalability of the AI model serving stack.
  • The team operates a conventional production infrastructure while developing a model-serving platform that connects research models to product-facing backend systems.
  • Candidates will optimize CPU/GPU resource utilization for online inference and training tasks on shared clusters to ensure cost efficiency and stability.

Matching Summary

Match Score: 85

Meshy, a leading 3D generative AI company headquartered in Silicon Valley, is seeking an AI Infrastructure Engineer to enhance their AI model serving stack and core engineering infrastructure. The role requires expertise in backend development and cloud-native platforms, with a focus on reliability, scalability, and cost efficiency in AI systems.

Salary

Competitive salary; Equity included; Comprehensive health, dental, vision, and 401(k) benefits

Skills & Requirements

Must-have

  • Go or Python programming proficiency
  • Kubernetes and Docker experience
  • GPU resource management and scheduling
  • Linux operating system knowledge
  • Distributed systems architecture

Nice-to-have

  • Ray and Ray Serve framework familiarity
  • MIG, MPS, and vGPU virtualization experience
  • SRE and observability implementation skills
  • Canary deployment and automated rollback expertise
  • Open-source project contributions

Key Requirements

  • Bachelor's degree in Computer Science or related field
  • 1 to 3 years of backend or infrastructure development experience
  • Solid software engineering skills with code quality commitment

Work Rights

Not specified

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