Description
We are seeking top-tier Senior Deep Learning Infrastructure Engineers to build the deep learning infrastructure that powers our AI agents for VLSI design, driving innovation and efficiency in chip development.
In this role, you will play a crucial part in building applications and developing infrastructure for a highly scalable deep learning platform. You will design, build, and maintain high-bandwidth data-pipelines and related infrastructure, such as APIs, databases, and services. You will work closely with domain experts, research teams, and take ownership of productizing, releasing, and maintaining deep learning products.
As an engineering generalist, you will discover and build skills needed at different times to solve problems at hand. You will have a zeal to learn and perform beyond prior experience and expertise.
Requirements:
- Bachelor's/Master's degree in computer science, engineering, or related field (or equivalent experience)
- Minimum 6+ years of experience in services, pipelines, API development, and system design
- Expertise in Python, JavaScript, or another similar programming language
Preferred qualifications:
- Experience in dev-ops, full-stack development, databases, and cloud computing
- Fundamentals in machine learning and experience in building RAG pipeline or other LLM applications
You will be eligible for equity and benefits. Applications for this job will be accepted at least until May 19, 2026.