Voltai Com

Voltai Com

Applied AI Engineer

Menlo Park, CA, USA

Sponsorship not specifiedDetected 498 days ago
PythonGoElasticsearchVector DatabasesData EngineeringLLMsAgentic AILangGraphResearchLeadership

About the role

  • Our founding team consists of IOI/IPhO olympiad medalists, Stanford professors, ex-CTO of Synopsys, and our business leadership has scaled revenue in their previous companies to over $1.5bn.
  • At Voltai, we are combining the world's best talent in the intersection of software and hardware.

Responsibilities

  • As an Applied AI Engineer at Voltai, you'll own the full lifecycle of deploying SOTA agentic systems for tool use, code generation, schematic synthesis, and verification-directly impacting leading semiconductor and electronics companies.
  • This can include: Architect AI systems integrating LLMs with domain-specific retrieval and reasoning across technical artifacts like documentation, datasheets, and design files.
  • Build structured evaluation pipelines combining benchmarks, user feedback, and task performance Design scalable data pipelines and real-world datasets for training, fine-tuning, and evaluation You'll collaborate across research and engineering at Voltai to not just build tools but capture the intuition behind solving complex semiconductor and electronics challenges.
  • About Voltai Voltai is the leading AI company building agentic systems and frontier foundation models for semiconductor and electronics design.
  • Architect AI systems integrating LLMs with domain-specific retrieval and reasoning across technical artifacts like documentation, datasheets, and design files.

Benefits

  • Medical, dental, and vision insurance for you and your dependents.
  • Professional Growth: We invest in your continuous learning and offer opportunities to expand your skills.

Visa & Work Authorization

  • We welcome global talent and provide visa sponsorship to support qualified candidates.

This listing is sourced directly from Voltai Com's careers page and normalized into a canonical job model.