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Unconventional AIPosted 1 month ago

Member of Technical Staff - Development Experience

On-siteMountain View Santa Clara County, California, United States

Full TimeSenior LevelBachelors DegreeStartup

Job Summary

Build and maintain standardized development environments for a multi-disciplinary team spanning software, physics, and silicon engineering. Architect 0-to-1 systems for personal developer knowledge extraction and cross-host persistence to enable AI-assisted coding workflows. Own CI/CD pipelines, Infrastructure as Code, and observability across the engineering stack while enforcing best practices to ensure high velocity and reliability. This role supports the extreme co-design workflow that maps neural networks directly to semiconductor device physics.

Required Qualifications

  • BS in Computer Science or equivalent practical experience
  • 5+ years of experience in software engineering, platform engineering, or Developer Experience (DevEx)
  • Strong programming proficiency in Python
  • Advanced shell scripting (Bash, etc.) for robust automation
  • Deep expertise in Linux/Unix environments
  • Hands-on experience with containerization (Docker)
  • Hands-on experience with container orchestration, specifically Kubernetes (K8s)
  • Proven track record of designing and managing CI/CD pipelines
  • Experience deploying to major cloud environments (OCI, AWS, GCP, or Azure)
  • Solid understanding of database architectures and storage solutions to support stateful applications
  • Experience with or strong interest in 'agentic code development' (e.g., utilizing AI coding assistants, automating engineering workflows with AI)

Desired Qualifications

  • Familiarity with LLM orchestration frameworks (e.g., LangChain, LlamaIndex) and experience building internal LLM-powered applications
  • Hands-on experience with Vector Databases (e.g., Pinecone, Weaviate, Milvus) for semantic search and context retrieval
  • Strong experience with IaC tools, particularly Terraform
  • Deep background in setting up observability and monitoring stacks (e.g., Databricks, Prometheus, Grafana, Datadog)
  • Expertise in secrets management (e.g., HashiCorp Vault, AWS Secrets Manager) and robust IAM policy design
  • Prior experience in internal application development, building developer portals (e.g., Backstage), or knowledge management systems

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