About the job
This technical role requires you to be based at our San Francisco office (Atherton) and travel to customer sites throughout the Bay Area.
The Role
As a Senior Software Engineer, you will play a pivotal role in delivering our AI platform to some of the world's leading semiconductor and consumer electronics companies. You will collaborate closely with these industry leaders to develop and enhance new features.
About Voltai
At Voltai, we are at the forefront of creating advanced models and agents that evaluate, design, and interact with hardware and electronic systems.
The Team
Our team is composed of passionate hackers, researchers, and operators dedicated to building AI solutions for electronic systems and semiconductors. We boast a diverse background, including former Stanford professors, researchers from SAIL, Olympiad medalists, and executives from Synopsys, GlobalFoundries, and Cadence. Our focus is on execution rather than titles, and we are proudly backed by Stanford, Sequoia, and influential leaders from Google, AMD, Broadcom, and more, providing us unparalleled access to the industry.
Your Responsibilities
Lead customer deployments at various offices across the SF Bay Area, including Cupertino and Santa Clara.
Develop tailored features based on customer workflows and transition features from our cloud offering to on-premises environments, often within highly secure infrastructures.
Oversee cloud deployments across AWS, Azure, GCP, and OpenShift, ensuring their stability, longevity, and troubleshooting issues as they arise.
Expand your knowledge of hardware design. While prior experience in hardware design is not mandatory, a willingness to learn about high-level hardware development is essential.
What We Seek
We value your thought process over mere keyword matching.
A minimum of 3 years in backend engineering, full-stack development, or infrastructure/DevOps is required (internships and teaching assistantships are not considered).
Familiarity with agent development and Retrieval-Augmented Generation (RAG) is preferred.
Strong instincts in systems design and debugging are crucial.
Proficiency with Docker, cloud platforms (AWS, Azure, GCP), and Infrastructure as Code (IaC) tools is necessary.
A willingness to travel, mainly within California, is required.

