Job Description

About the job

Why this matters

At Cognichip, we’re not just building AI—we’re redefining what’s possible at the nexus of silicon design and machine learning. As a Staff Chip Design Engineer on our team, you’ll tackle real-world scientific and coding challenges—defining the processes for dataset collection, curation, and enhancement. You’ll fuse knowledge of chip design and ML into end-to-end silicon design flows. If you thrive on pushing the envelope of research and translating cutting-edge ideas into production-grade systems, this is your stage.

What you'll do

• Serve as the domain experts, embedding chip design experience into a team creating AI chip design assistants
• Bridge research and production. Collaborate closely with ML and SW teams to integrate experimental models into scalable pipelines.
• Define data-processing pipelines, training orchestration, and evaluation frameworks to accelerate iteration on large-scale experiments.
• Analyze and iterate. Dive deep into large datasets—experimental logs, simulation outputs, and user interaction traces—to diagnose model behavior, surface failure modes, and drive evidence-based improvements.
• Publish and present. Document findings in technical reports, contribute to open-source projects, and present work internally (and externally, when appropriate) to help shape the broader AI research community.

What You Bring

• Masters in Computer Science, Electrical Engineering, or a closely related field
• 10-15 years of experience in RTL design, or a combination of design and verification
• Proficiency in SystemVerilog and Python languages
• Excellent written and verbal communication skills, esp to convey chip design knowledge to scientists/engineers in other fields
• Comfortable working in a dynamic, research-heavy startup environment
• Demonstrated coursework or project experience in machine learning and/or deep learning

Bonus Points

The following items are not required but are great bonuses:

• Personal projects showcasing innovation, creativity, and continuous learning
• Knowledge of industry-standard communication protocols (SPI, I2C, AXI, Ethernet, PCIe, DDR5, etc)
• Knowledge of open-source tools and contribution practices (Verilator, CocoTB, Yosys, OpenSTA, etc)
• Experience with multiple areas of chip flow (RTL design, validation, synthesis, physical design, etc)
• Experience with FPGA development (Vivado, Vitis, Quartus, etc), front end, IP integration, and/or back end

What it's like here

We’re a fast-moving AI startup with a collaborative, high-trust culture. You’ll work with top-tier engineers, scientists, and builders—solving hard problems that sit at the intersection of cloud computing, AI, and chip design. We value technical excellence, ownership, and the freedom to experiment. If you’re excited to build the future of engineering, you’ll feel right at home.

Logistics

This position is available in Silicon Valley’s Redwood Shores, CA .We believe a mindmeld 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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