Staff Chip Design Engineer - AI

Job summary

The role involves acting as a hardware domain expert to translate silicon constraints into insights for AI model training and agentic design. You will also serve as the primary technical contact for customers to help them integrate ACI solutions into their design flows.

Job details

Job Title Staff Chip Design Engineer - AI Job Description Staff Chip Design Engineer - AI Why this matters At Cognichip, we're not just building AI; we're enabling our customers to harness the power of AI to transform their silicon design workflows. As a Chip Design Engineer , you'll be the crucial link between our groundbreaking Artificial Chip Intelligence (ACI) solutions and the design teams who will use them. You'll translate complex technical concepts into practical solutions, helping teams successfully adopt our solutions and unleash their creativity. If you thrive on solving technical challenges and empowering others to build the future, this is your stage. 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+ 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.

What you’ll do

The role involves acting as a hardware domain expert to translate silicon constraints into insights for AI model training and agentic design. You will also serve as the primary technical contact for customers to help them integrate ACI solutions into their design flows.

Requirements

Requires a Master's degree in Computer Science or Electrical Engineering and over 5 years of experience in RTL design and verification. Proficiency in Verilog, SystemVerilog, Python, and EDA tools like Vivado or Quartus is essential.

Listed skills

• Verilog · Preferred
• Machine learning · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• RTL Design
• Verification
• Verilog
• SystemVerilog
• Python
• UVM
• AMD Vivado
• Intel Quartus
• ASIC Physical Design
• SoC Integration
• IP Integration
• Machine Learning
• Deep Learning
• Technical Communication
• Customer Success
• Hardware Benchmarking

Job areas

• Engineering
• Technology
• Software
• Science & Research
• Consulting

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