Member of Technical Staff - Software Engineer

What you'll do

• Develop scalable product features and APIs for engineering workflows, and build and ship critical features.
• Set up and integrate LLM or VLM infrastructure and an MLOps framework for training deep learning models on geometry and physics data.
• Build systems for development-to-deployment and manage data flow through the deployed product; contribute to product planning with customers and design partners.

What they ask for

• 6+ years of experience developing and shipping features in high performance computing.
• Proficiency in C++, Python, or another language needed to set up systems.

Nice to have

• Cloud compute experience for data generation, scraping, or enabling model training is a plus.
• CUDA experience, frontend experience, and startup experience are listed as beneficial; startup experience is a strong advantage.

Pay

$180K – $220K (base salary; currency not specified)

Tools

C++, Python, grpc, protocol buffers, Docker, Kubernetes, Bazel, CUDA

AI focus

Set up LLM or VLM infrastructure and MLOps for training deep learning architectures on geometry and physics data; the product is an AI assistant for hardware designers.