AI models for electronics

Industry: Technology, Information and Internet
Company Size: 11-50 employees

Voltai

Savvy Admin PROD

~~**This role requires you to be in our San Francisco office (Atherton near Palo Alto).** ~~**The Role**

You'll deliver our AI platform the world's leading semiconductor and consumer electronics companies, and collaborate 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 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

- 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.

Senior Software Engineer: Solutions

~~**This is a work from office role at our Bay Area office near Menlo Park.** ~~**The Role**

You'll design, build, and ship core systems that power our AI platform. You'll work across the stack—backend services, infrastructure, APIs, and product features—and have real ownership over what you build. Expect to move between greenfield work, hardening existing systems, and to have your fingerprints on architecture decisions that matter.

**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**

- Ship features end-to-end working closely with research and product.

- Improve foundations: performance, reliability, observability, developer velocity.

- Raise the engineering bar through code review ad design discussions.

- Learn about hardware design. Previous experience is not expected, but you should be eager to familiarize yourself with how hardware is developed.

**What We're Looking For**

- 5+ years building production software. Internships and teaching assistantships don't count.

- Strong knowledge of agent development, evaluations

- Fluency in at least one backend language used in modern infrastructure (Python, Go, Rust, TypeScript, etc.)

- A track record of owning meaningful systems or features and not just contributing to them.

**Bonus Points For**

- Experience in EDA, semiconductor, or hardware-adjacent software environments

- Background in ML infrastructure, model training, or model serving

- Experience at an early-stage startup where you wore multiple hats

**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.

Senior Software Engineer

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