Forward Deployed Engineer

Reposted 2 Months Ago
Be an Early Applicant
2 Locations
Remote or Hybrid
Mid level
Artificial Intelligence • Information Technology
The Role
The Forward Deployed Engineer will manage cloud deployments, port features to on-prem environments, ensure customer deployments, and act as a feedback loop between customers and engineering teams, primarily in the semiconductor industry.
Summary Generated by Built In

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 foremost 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 obsessed with 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 and integrations 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

  • Fluency in at least one mainstream backend language (Python, Go, Rust, TypeScript, etc.) and familiarity with either Python or TypeScript

  • Comfortable with the Docker ecosystem, cloud infrastructure (AWS, Azure, GCP), and IaC tools

  • Willingness 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.

 

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Skills Required

  • 3+ years in backend engineering, full-stack development, or infrastructure/DevOps
  • Strong systems design and debugging skills
  • Experience with Docker ecosystem and cloud infrastructure
  • Excellent communication skills
  • Willingness to travel within California
Am I A Good Fit?
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The Company
HQ: Dartmouth
4 Employees

What We Do

AI models for electronics

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