Machine Learning Engineer

AI is reshaping every industry—and semiconductor design is next. At Cognichip, you’ll work at the intersection of cutting-edge ML and hardware innovation, helping bring frontier models specialized for semiconductors into the hands of chip designers. From deploying optimized foundation models to building low-latency inference infrastructure, your work will define how engineers interact with intelligence. If you're excited to make research real and shape the future of design, this role is for you.

What you'll do

• Fine-tune, evaluate, and deploy LLMs and foundation models for specialized chip engineering tasks.
• Build scalable inference systems, agentic workflows, and RAG pipelines to support intelligent, interactive design tools.
• Optimize model performance through batching, caching, quantization, and streaming to achieve sub-second latency.
• Collaborate closely with AI scientists to operationalize experimental techniques and deliver robust, production-grade systems.
• Contribute to architecture decisions around scalable, reliable ML infrastructure in a cloud-native environment.
• Own the end-to-end lifecycle of ML features—from prototyping to deployment and observability in production.

What You Bring

Bonus Points

What it's like here

We’re a fast-moving AI startup with a collaborative, high-trust culture. You’ll work side-by-side with top engineers and scientists, translating cutting-edge research into real product impact. We value curiosity, speed, and precision—engineering systems that are elegant, pragmatic, and built to last. If you’re passionate about bringing frontier AI to the real world, you’ll feel right at home.

Logistics

This position is available in Silicon Valley’s Redwood Shores, CA and in Toronto, ON. We believe a mindmelt between engineers and scientists leads to our professional growth and to great products; we have a hybrid schedule with four days in office, one day remote. Cognichip accepts applications that need H1B transfer.

How to apply

Don’t meet every single requirement? Feel over-qualified? That’s okay—if you're excited about our mission, we’d still love to hear from you. We are growing fast and need a world class team of various experience levels.

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