Hardware Development Infrastructure Engineer (AI)

TL;DR

Hardware Development Infrastructure Engineer (AI): Building and running the infrastructure that powers hirify.global’s hardware development lifecycle with an accent on translating hardware workflows into scalable, observable, and automated systems. Focus on designing regression systems, CI/CD pipelines, cloud/HPC platforms, and data foundations for development efficiency.

Location: Onsite in San Francisco, CA. Candidates for this role may need to meet certain U.S. legal status requirements and are expected to be US-based.

Salary: $260,000 – $335,000 + Equity

Company

hirify.global is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.

What you will do

• Partner with hardware teams to understand development flows and deliver tooling (CLIs, services, APIs) that reduces manual work.
• Build and operate regression systems at scale, improving throughput, reproducibility, and flake reduction.
• Own CI/CD for infrastructure and tooling, including testing, gated deploys, staged rollouts, and safe rollback.
• Design, provision, and operate cloud infrastructure (Azure preferred) and HPC/HTC clusters (e.g., Slurm).
• Develop ETL pipelines to ingest metrics, logs, and results, operate databases, and build dashboards for visibility.
• Drive operational excellence by establishing monitoring, alerting, incident response, and documentation.

Requirements

• Familiarity with chip development workflows and at least one deep EDA domain (e.g., DV, PD, emulation, or formal verification).
• Strong infrastructure fundamentals, including cloud platforms, networking, security, performance, and automation.
• Experience operating cloud environments (Azure preferred; AWS, GCP, or OCI acceptable) with strong infrastructure-as-code practices (e.g., Terraform, Bicep).
• Strong programming skills (Python preferred) and solid software engineering and scripting practices.
• Experience building and operating CI/CD systems (e.g., Jenkins, Buildkite, GitHub Actions).
• Database experience (e.g., Postgres or MySQL), including schema design and operational safety.

Nice to have

• Experience operating Slurm or other large-scale cluster schedulers.
• Experience with enterprise authentication and directory services (e.g., Entra ID, LDAP, FreeIPA, SSSD).
• Experience building or operating backend and middleware systems.
• Familiarity with high-performance storage architectures and data movement optimization.

Culture & Benefits

• Dedicated to ensuring general-purpose artificial intelligence benefits all of humanity.
• Committed to pushing the boundaries of AI systems and safely deploying them through products.
• Values many different perspectives, voices, and experiences for achieving its mission.
• Provides reasonable accommodations to applicants with disabilities.
• Believes AI has the potential to help people solve immense global challenges.

Hiring process

• Background checks for applicants will be administered in accordance with applicable law.
• Qualified applicants with arrest or conviction records will be considered consistent with laws, including San Francisco Fair Chance Ordinance.