About the job
Location and Work Requirements
This senior software engineering role is based in Voltai’s Bay Area office in Atherton. Regular travel to customer sites throughout the San Francisco Bay Area is required.
About Voltai
Voltai develops advanced models and agents that evaluate, design, and interact with hardware and electronic systems. The company serves leading semiconductor and consumer electronics clients.
The Team
The Voltai team brings together hackers, researchers, and operators focused on AI solutions for the semiconductor and electronics sectors. Team members have backgrounds from Stanford, Synopsys, and GlobalFoundries. Backing from Stanford, Sequoia, and leadership experience from Google and AMD provide strong industry connections. The culture values execution and innovation over titles.
Role Overview
As a Senior Software Engineer - Customer Workflows, you will help deliver Voltai’s AI platform to major semiconductor and consumer electronics companies. The work involves collaborating directly with customers to design and enhance features that address their specific needs.
Key Responsibilities
- Lead customer deployments across Bay Area locations, including Cupertino and Santa Clara.
- Design and implement features tailored to customer workflows, including transitioning cloud product capabilities to secure on-premises environments.
- Oversee cloud deployments using AWS, Azure, GCP, and OpenShift. Troubleshoot and resolve deployment issues.
- Grow your understanding of hardware design. Prior experience is not required, but openness to learning about high-level hardware development is important.
What We’re Looking For
- Clear, thoughtful approach to problem-solving matters more than keyword matching.
- At least 3 years of experience in backend engineering, full-stack development, or DevOps (not including internships or teaching assistant roles).
- Background in agent development and Retrieval-Augmented Generation (RAG).
- Strong skills in systems design and debugging.
- Experience with Docker, cloud platforms (AWS, Azure, GCP), and Infrastructure as Code tools.
- Willingness to travel, mostly within California.

