What You'll Do

• Partner with ML and Software teams as a key hardware domain expert, translating complex silicon constraints into actionable insights for model training and agentic design
• Build and maintain an ecosystem of benchmarks and evaluation infrastructure to measure and improve the quality of our tools
• Execute and refine novel chip design methodologies, from architectural specs to synthesized netlists to complete bitstreams to identify where AI can optimize the flow
• Generate and curate massive datasets of syntactic and semantic hardware code to improve model robustness
• Implement robust verification environments, writing the SystemVerilog/UVM testbenches and assertions with our tools that ensure our generated designs are correct-by-construction
• Apply AI to real-world problems.
• Serve as the primary technical point of contact for customers, providing expert guidance and support to help them integrate Cognichip ACI® solutions into their design flows.

What You Bring

• Master's degree in Computer Science, Electrical Engineering, or a closely related field.
• 5-10 years of experience in RTL design, verification, or a combination of both, with a passion for customer-facing roles.
• Proficiency in Verilog/SystemVerilog and scripting languages like Python for automation
• Experience with digital design EDA tools such as AMD (Vivado), Altera/Intel (Quartus) ecosystems or ASIC physical design chains, including SoC and IP integrations
• Excellent written and verbal communication skills, with a strong ability to translate complex technical information into clear, actionable guidance.
• A consultative, problem-solving mindset and a passion for helping others succeed.
• Comfortable working in a dynamic, research-heavy AI-oriented startup environment

Bonus Points The following items are not required but are great bonuses:

• Personal projects showcasing innovation, creativity, and continuous learning
• 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) and with EDA tools and their application in real-world design flows.
• Demonstrated coursework or project experience in machine learning and/or deep learning
• Prior experience in a field application engineering or customer success role.

What It's Like Here

• We’re a fast-moving AI startup with a collaborative, high-trust culture.
• You’ll work alongside top-tier engineers and scientists, but your primary focus will be on our customers—solving their hard problems and ensuring they can build the future of engineering.
• We value technical excellence, ownership, and the freedom to experiment.
• If you’re excited to empower a new generation of chip designers, you’ll feel right at home.

Logistics

• This position is available in Toronto, Ontario.
• 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.