Software Engineer

voltai-com; Edison (CA); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Unlimited PTO

Comprehensive Health Coverage

Free Meals and Snacks

Professional Growth

Visa Sponsorship

Job summary

Voltai in the United States is seeking an experienced backend/data systems engineer to build scalable AI-driven tools for semiconductor design and data pipelines.

You will work across Windows, macOS, and web environments, integrate with LLM APIs, and collaborate with ML engineers to deliver production-grade systems.

The role requires strong Python and systems skills, plus Docker/Kubernetes, AWS, and secure, cost-efficient design.

Qualifications

• Proven experience building scalable backend and data systems.
• Strong Python programming and systems design skills.
• Experience with Unix-based environments and Bash scripting.

Responsibilities

• Build and maintain scalable backend systems powering AI-driven tools.
• Construct and manage large-scale data pipelines for diverse datasets.
• Assist with data extraction, cleaning, and QA across structured and unstructured formats.
• Develop and deploy agentic AI applications using LLM APIs.
• Integrate AI capabilities into cross-platform software products (Windows, macOS, web).
• Collaborate with ML engineers to serve models efficiently and securely.

Skills

Python

C/C++

Unix-based systems

Bash scripting

FastAPI/Django

AWS (ECS, Lambda, S3, EC2)

Databases (SQL/NoSQL)

Airflow/Prefect

Docker/Kubernetes

CI/CD (GitHub Actions, Argo CD)

AI/ML production systems

System design

Security best practices

Tools

Docker

Kubernetes

CI/CD tools

GitHub Actions

Argo CD

AWS

Airflow

Prefect

FastAPI

Django

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.