Cognichip Inc. logo

Staff - AI Solution Engineer

Cognichip Inc.

Redwood City, CAFull-timeNo compensation foundPosted 3mo agoVerified open 3 days ago

Most applications go out cold — see where you stand first. No sign-up to start.

At a glance

Compensation
No compensation found
Location
Redwood City, CA
Schedule
Full-time
Work Authorization
Not specified

Requirements

Credentials this posting asks for.

Master's degree

Job overview

Cognichip Inc. is hiring a Staff - AI Solution Engineer. As an AI Application Engineer at Cognichip, you will be the crucial link between groundbreaking Artificial Chip Intelligence (ACI) solutions and design teams. You will translate complex technical concepts into practical solutions, helping teams successfully adopt solutions and unleash their creativity. This role involves solving technical challenges and empowering others to build the future.

Key focus areas include Apply AI to real-world problems, Serve as the primary technical point of contact for customers, and Provide expert guidance and support to integrate Cognichip ACI® solutions.

Successful candidates bring Master's In Computer Science Or Electrical Engineering Or Related Field and 7-10 Years RTL Design Experience. Important skills include Verilog/SystemVerilog, Python, Communication, Consultative Mindset, Problem-Solving Mindset, and Chip Design Process. Preferred (not required): Machine Learning Concepts and Deep Learning Concepts.

Skills & qualifications

RequiredNice to have

Skills

Verilog/SystemVerilogPythonCommunicationConsultative MindsetProblem-Solving MindsetChip Design ProcessMachine Learning ConceptsDeep Learning Concepts

Qualifications

Master's Degree in Computer ScienceMaster's Degree in Electrical Engineering7-10 Years RTL Design Experience7-10 Years Verification ExperienceCustomer-Facing Roles Experience

Full job description

Job Title Staff - AI Solution Architect Job Description 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 an AI Application 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. Key Responsibilities - 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.- Bridge the gap. Collaborate closely with customer design teams, providing hands-on support and troubleshooting to ensure a seamless experience. You’ll also act as the voice of the customer, relaying critical feedback and insights to our internal AI science and software teams.- Drive adoption and success. Develop and deliver technical presentations, demonstrations, and training sessions that showcase the value and capabilities of our solutions.- Diagnose and solve. Dive deep into customer-specific issues—analyzing design flows, log files, and user interactions—to diagnose problems, provide solutions, and help improve ournproducts and services.- Educate and inform. Create clear, concise technical documentation, application notes, and guides to empower our customers and accelerate their learning curve. Required Qualifications - Master's degree in Computer Science, Electrical Engineering, or a closely related field.- 7 - 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.- 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.- Demonstrated knowledge of the chip design process, from RTL to physical design.- Experience with machine learning or deep learning concepts is a strong advantage.

You've read the whole posting — now see how you match it.