Lead Design Verification Engineering Manager

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.   

Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. 

As a Lead Design Verification Engineer / Manager, you will play a key role in ensuring the highest quality design and validation of our hardware systems. You will manage and lead a team of engineers working on verification strategies for our cutting-edge chip architecture, driving the development of high-quality tests and methodologies that guarantee robust performance across all stages of development. 

Key Responsibilities:

• Leadership & Team Management: Manage a team of design verification engineers, ensuring smooth execution of verification processes while fostering a culture of collaboration and high performance. 

• Collaborative Design: Work closely with RTL designers and software engineers to ensure that designs are validated thoroughly and meet quality standards before silicon tape-out. 

• Verification Strategy & Planning: Define and drive the development of detailed test and coverage plans based on the micro-architecture, ensuring comprehensive validation of the system. Track progress against schedules 

• Test & Debug Management: Oversee the writing and execution of tests, manage regression runs, gather coverage data, and provide direction in debugging complex test failures. 

• Continuous Improvement: Identify and implement improvements in verification methodologies and tools, staying ahead of industry trends and ensuring the efficiency and scalability of testing processes. 

• Cross-Functional Collaboration: Collaborate across multiple teams including hardware, software, and research to ensure alignment and excellence in system-level validation. 

Required Skills and Qualifications:

• Experience: At least 10 years of experience in Design Verification, with a minimum of 5 years in leadership roles or management 

• Leadership Experience: Proven experience leading and mentoring a team of design verification engineers, driving the team to successful tapoeuts, and fostering a collaborative work environment. Experience tracking schedules and test plans in a systematic manner for large complex projects 

• Technical Expertise: Deep knowledge of System Verilog, UVM, and testbench methodologies with hands-on experience in simulation, debugging, and validation. Experience of protocol verification - ethernet/RoCE preferred. Microprocessor, GPU or AI core verification including assembly code and random tests. Full chip ASIC or SoC verification experience. 

• Advanced Debugging & Problem Solving: Strong skills in diagnosing complex issues and developing creative, efficient solutions for verification challenges. 

• Programming & Engineering Practices:  Familiarity with scripting languages (Python or Perl) for automation and tool integration. 

• Scalable Testbenches: Experience developing scalable and portable testbenches and components that can be reused across multiple projects. 

• Verification Methodologies: Expertise in using industry-standard verification tools (simulators, waveform viewers, regression tools, coverage analysis, etc.) and methodologies. 

• Communication & Collaboration: Strong interpersonal skills, with the ability to communicate effectively with both technical and non-technical stakeholders. A desire to work as a standout colleague and inspire others. 

• Self-Motivation & Problem-Solving: Highly self-motivated with a passion for problem-solving and driving progress in fast-paced, high-performance environments. Strong schedule management skills. 

 Desired Skills and Qualifications:

• Architecture Knowledge: Familiarity with pipelined processor architecture, ideally within the context of high-performance computing or deep learning hardware. 

• Reference Models: Experience in writing reference models in C++ for hardware design verification. 

• Academic Background: A BS or MS in Computer Science, Electrical Engineering, or a related field. 

Why Join Cerebras:

People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras: 

• Build a breakthrough AI platform beyond the constraints of the GPU 

• Publish and open source their cutting-edge AI research 

• Work on one of the fastest AI supercomputers in the world 

• Enjoy job stability with startup vitality 

• Our simple, non-corporate work culture that respects individual beliefs 

Apply today and become part of the forefront of groundbreaking advancements in AI!