Infra Software Engineer: AI ASIC & Scalable HPC

Etched

San Jose (CA)

On-site

USD 120,000 - 160,000

Full time

14 days+

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Benefits offered by this job

Full medical, dental, and vision packages
Housing subsidy of $2,000/month
Daily lunch and dinner provided
Relocation support for new hires

Job summary

A cutting-edge technology company in San Jose is looking for a software engineer to lead infrastructure tooling for next-generation ASICs. The role involves architecting hybrid high-performance compute clusters and developing an observability stack with LLM integration. Ideal candidates should possess strong programming skills, extensive experience in infrastructure engineering, and a systems mindset that drives innovation and efficiency. This position offers competitive benefits and the chance to contribute significantly to the evolving landscape of AI technology.

Qualifications

  • 8+ years of experience in infrastructure engineering, systems programming, or backend software development.
  • Strong programming skills in Python, Go, Rust, or C++.
  • Expert-level knowledge of Linux, virtualization, and CI/CD pipelines.

Responsibilities

  • Design and build orchestration layers for hybrid high-performance clusters.
  • Develop and maintain a fully programmable infrastructure control plane.
  • Optimize developer experience through new tools and abstractions.

Skills

Systems mindset
Strong programming skills
Expert-level knowledge of Linux
Familiarity with Infrastructure as Code
Problem-solving skills at scale

Education

8+ years of experience in infrastructure engineering or software development

Tools

Terraform
Ansible
Prometheus
Grafana
Kubernetes

Job description

A cutting-edge technology company in San Jose is looking for a software engineer to lead infrastructure tooling for next-generation ASICs. The role involves architecting hybrid high-performance compute clusters and developing an observability stack with LLM integration. Ideal candidates should possess strong programming skills, extensive experience in infrastructure engineering, and a systems mindset that drives innovation and efficiency. This position offers competitive benefits and the chance to contribute significantly to the evolving landscape of AI technology.
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