Job description

About Voltai Voltai is the leading AI company building agentic systems and frontier foundation models for semiconductor and electronics design. Backed by Sequoia Capital, we’re putting AI in the hands of hardware engineers in over 70% of the world’s largest semiconductor and electronics companies to have effortless control over their next-generation chip and board designs, powering the future of automotive, industrial automation, consumer electronics, IoT, and semiconductor manufacturing. About the Team 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. Key Responsibilities: • Build and maintain scalable backend systems that power AI-driven tools for semiconductor and electronics design • Construct and manage large-scale data pipelines for parsing, transforming, and storing diverse datasets (e.g., images, signals, circuit diagrams, text) • Assist with data extraction, cleaning, validation, and quality assurance across structured and unstructured formats • Develop and deploy agentic AI applications using LLM APIs to automate workflows and accelerate engineering tasks • Integrate AI capabilities into cross-platform software products for Windows, macOS, and web-based environments • Collaborate with ML engineers to serve models efficiently and embed intelligence into backend and frontend systems • Ensure the reliability, performance, and security of backend services, APIs, and data infrastructure Required Skillsets: • Proven experience in building scalable and maintainable backend and data systems • Strong programming skills in Python , with additional proficiency in C++, C, Go, or Rust • Strong understanding of Unix-based systems , including proficiency in Bash scripting, managing daemons, and optimizing storage and filesystem performance • Familiarity with modern web frameworks (e.g., FastAPI, Django) and cloud infrastructure (especially AWS: ECS, Lambda, S3, EC2) • Solid understanding of databases (SQL/NoSQL), schema design, and data pipeline frameworks (e.g., Airflow, Prefect) • Experience with Docker, Kubernetes, and CI/CD tools (GitHub Actions, Argo CD) for infrastructure automation and deployment • Demonstrated success working on production-grade AI/ML applications or data-intensive products • Strong system design and debugging abilities, with a focus on performance, concurrency, and cost-efficiency • Awareness of security best practices across data, APIs, and cloud systems Bonus Points: • Background in Electrical Engineering. • Experience as an early engineer at a hyper-growth startup. Our Benefits • Unlimited PTO: Recharge when you need it, no questions asked. • Comprehensive Health Coverage: Medical, dental, and vision insurance for you and your dependents. • Free Meals and Snacks : Daily lunches, dinners, and snacks in the office. • Professional Growth: We invest in your continuous learning and offer opportunities to expand your skills. • Visa Sponsorship : We welcome global talent and provide visa sponsorship to support qualified candidates.

Requirements

Must-haves

Build and maintain scalable backend systems that power AI-driven tools for semiconductor and electronics design
Construct and manage large-scale data pipelines for parsing, transforming, and storing diverse datasets (e.g., images, signals, circuit diagrams, text)
Assist with data extraction, cleaning, validation, and quality assurance across structured and unstructured formats
Develop and deploy agentic AI applications using LLM APIs to automate workflows and accelerate engineering tasks
Integrate AI capabilities into cross-platform software products for Windows, macOS, and web-based environments
Collaborate with ML engineers to serve models efficiently and embed intelligence into backend and frontend systems
Ensure the reliability, performance, and security of backend services, APIs, and data infrastructure
Proven experience in building scalable and maintainable backend and data systems
Strong programming skills in Python , with additional proficiency in C++, C, Go, or Rust
Strong understanding of Unix-based systems , including proficiency in Bash scripting, managing daemons, and optimizing storage and filesystem performance
Familiarity with modern web frameworks (e.g., FastAPI, Django) and cloud infrastructure (especially AWS: ECS, Lambda, S3, EC2)
Solid understanding of databases (SQL/NoSQL), schema design, and data pipeline frameworks (e.g., Airflow, Prefect)
Experience with Docker, Kubernetes, and CI/CD tools (GitHub Actions, Argo CD) for infrastructure automation and deployment
Demonstrated success working on production-grade AI/ML applications or data-intensive products
Strong system design and debugging abilities, with a focus on performance, concurrency, and cost-efficiency
Awareness of security best practices across data, APIs, and cloud systems

Nice-to-haves

Background in Electrical Engineering.
Experience as an early engineer at a hyper-growth startup.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aillmmlpythongorustawssqldockerkubernetesci/cd

Platform: gem
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

Pto