Software Engineer

Software Engineer

San Francisco Bay Area - Full-time - In-office

Department: Engineering

About Us:

We are a rapidly growing artificial intelligence company developing advanced foundation models and agentic systems tailored for the semiconductor and electronics design industry. Recognized as a leader in this space, we are backed by top-tier venture capital firms and work closely with some of the world’s largest semiconductor and electronics companies.

Our founding team combines world-class technical talent—including Olympiad medallists, ICPC world champions, and university professors—with experienced business leaders who have successfully scaled revenue from $0 to $400M in just four years at a previous venture.

Key Responsibilities:

Architect and maintain scalable backend infrastructure to power AI-driven tools for semiconductor and electronics design.

Extract, clean, validate, and perform quality assurance on a wide range of structured and unstructured data.

Integrate AI capabilities into software applications across multiple platforms, including Windows, macOS, and web environments.

Design and manage high-volume data pipelines for parsing, transforming, and storing diverse data types such as images, signals, circuit diagrams, and text.

Work closely with ML engineers to deploy models efficiently and embed intelligent behavior across both backend and frontend systems.

Create and launch agentic AI applications that utilize large language model (LLM) APIs to automate and accelerate engineering workflows.

Maintain high standards of performance, security, and reliability for backend systems, APIs, and data infrastructure.

Required Skills:

Strong proficiency in Python, with additional experience in C++, C, Go, or Rust considered a valuable asset

Proven track record in designing scalable, maintainable backend and data systems

Experience with modern web frameworks such as FastAPI or Django, and hands-on familiarity with cloud platforms—particularly AWS services like ECS, Lambda, S3, and EC2

Deep understanding of Unix/Linux systems, including scripting, managing background processes, and optimizing storage and filesystem performance

Solid grasp of database technologies, including both SQL and NoSQL, data modeling, and pipeline orchestration tools like Airflow or Prefect

Proficiency in containerization and deployment workflows, including Docker, Kubernetes, and CI/CD tools such as GitHub Actions and Argo CD

Expert-level system design and debugging skills, with a strong focus on concurrency, performance tuning, and cost-effective architecture

Demonstrated experience delivering production-grade AI/ML or data-intensive applications

Awareness of security best practices across APIs, cloud infrastructure, and data pipelines

Preferred but not required: Background in electrical engineering and/or experience as an early engineering hire at a rapidly scaling startup

Our Benefits:

Career Development: Grow your skills through meaningful projects and opportunities for professional advancement.

Flexible Paid Time Off: Take the time you need to rest and recharge with our unlimited PTO policy.

Health & Dental Coverage: Enjoy premium medical and dental insurance for both you and your dependents.

Visa Support: We offer visa sponsorship to help international talent become part of our team.