Job description

This role is on-site in our San Francisco office (Atherton near Palo Alto) or hybrid in our New York City office. The Role You'll deliver our AI platform the world's leading semiconductor and consumer electronics companies, and partner with them to develop new features. (This is not an exaggeration.) About Voltai Voltai is developing models and agents to evaluate, design, and interact with hardware and electronic systems. The Team We're hackers, researchers, and operators focused on building AI for electronic systems and semiconductors. Our team includes former Stanford professors, SAIL researchers, Olympiad medalists, and executives from Synopsys, GlobalFoundries, and Cadence. Despite the name drops, we care far more about execution than titles. We're backed by Stanford, Sequoia, and leadership at Google, AMD, Broadcom and more. In other words, we have deep, deep access to the industry. What You'll Do - Own customer deployments at offices across the SF Bay Area, Cupertino, and Santa Clara. - Develop features specific to customer workflows and port features from our cloud product to on-prem environments inside some of the most locked-down infrastructure on the planet. - Manage cloud deployments across AWS, Azure, GCP, and OpenShift: standing them up, keeping them healthy, debugging them when they're not. - Learn about hardware design. Previous experience is not expected, but you should be eager to familiarize yourself with how hardware is developed at a high-level. What We're Looking For - We care about how you think, not how you keyword-match - 5+ years in backend engineering, full-stack development, or infrastructure/DevOps: internships and teaching assistantships don't count - Familiarity with agent development and RAG - Strong systems design and debugging instincts - Comfortable with the Docker ecosystem, cloud infrastructure (AWS, Azure, GCP), and IaC tools - Openness to travel, mostly in California Bonus Points For - On-prem deployment experience in enterprise or air-gapped environments - Prior field engineering, solutions engineering, or customer-facing technical roles - Experience in EDA, semiconductor, or hardware-adjacent software environments Our AI Bullshit Meter We are very good at catching people who use AI to exaggerate their abilities whether on paper or during interviews. Please don't waste our time. -

Requirements

Must-haves

This role is on-site in our San Francisco office (Atherton near Palo Alto) or hybrid in our New York City office.
You'll deliver our AI platform the world's leading semiconductor and consumer electronics companies, and partner with them to develop new features. (This is not an exaggeration.)
Own customer deployments at offices across the SF Bay Area, Cupertino, and Santa Clara.
Develop features specific to customer workflows and port features from our cloud product to on-prem environments inside some of the most locked-down infrastructure on the planet.
Manage cloud deployments across AWS, Azure, GCP, and OpenShift: standing them up, keeping them healthy, debugging them when they're not.
Learn about hardware design. Previous experience is not expected, but you should be eager to familiarize yourself with how hardware is developed at a high-level.
We care about how you think, not how you keyword-match
5+ years in backend engineering, full-stack development, or infrastructure/DevOps: internships and teaching assistantships don't count
Familiarity with agent development and RAG
Strong systems design and debugging instincts
Comfortable with the Docker ecosystem, cloud infrastructure (AWS, Azure, GCP), and IaC tools
Openness to travel, mostly in California
On-prem deployment experience in enterprise or air-gapped environments
Prior field engineering, solutions engineering, or customer-facing technical roles
Experience in EDA, semiconductor, or hardware-adjacent software environments
Our AI Bullshit Meter
We are very good at catching people who use AI to exaggerate their abilities whether on paper or during interviews. Please don't waste our time.

Nice-to-haves

Bonus Points For

Application prep

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Keywords to mirror

aiawsazuregcpdocker

Platform: ashby
Effort: quick