Design Verification Engineer
Skills & Technologies
Requirements
- Experience
- 3 years
- Education
- Bachelor's degree
Benefits
Joblaze summary
In the role of Design Verification Engineer at Cerebras Systems, the individual will collaborate with various teams to develop and implement verification strategies for their innovative AI chip architecture. Key skills include advanced debugging, proficiency in SystemVerilog, and experience with verification methodologies and tools. This position is ideal for someone with over three years of design verification experience, particularly those with a background in computer science or electrical engineering. Cerebras is at a pivotal stage in its growth, focusing on groundbreaking advancements in AI technology.
Joblaze insights
- Listed about a month ago on Joblaze — tracked directly from Cerebras Systems's career page.
- Cerebras Systems has 92 other open roles including Security & IT General Opportunities, Mechanical Engineer, Senior Accountant .
- 2374 active Python roles on Joblaze right now.
- 51 active Perl roles on Joblaze right now.
- 20 active UVM roles on Joblaze right now.
- Salary band is below the typical range for AI/ML (median ~$190,000).
Quick facts
- Is the Design Verification Engineer role remote?
- Yes — Cerebras Systems lists this as a fully remote position.
- What's the salary range?
- Cerebras Systems lists $120,000–$240,000 for this role.
- How much experience is required?
- 3–3 years of relevant experience for this Design Verification Engineer role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Python, UVM, Perl, SystemVerilog.
- What seniority level is this role?
- Cerebras Systems targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Design Verification Engineer role at Cerebras Systems.
From the original posting
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 top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.
Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.
Key Responsibilities
- Work with architects, designers, post-silicon, and software engineers, to ensure a high-quality design that works for silicon.
- Develop and implement verification strategies, detailed tests, and coverage plans based on micro-architecture.
- Create verification methodologies and reusable environments, including components such as stimulus, checkers, assertions, and coverage.
- Implement tests, manage regressions, gather coverage, and debug test failures.
- Collaborate with cross-functional teams, including architecture, RTL design, physical design, firmware, and validation.
- Analyze and debug complex issues across simulation, emulation, and silicon bring-up phases.
- Continuously enhances verification infrastructure and flows to improve efficiency and quality.
- Contribute to the evolution of the overall verification methodology and best practices across the organization.
Skills and Qualifications
- Advanced debugging and problem-solving skills.
- Deep knowledge of SystemVerilog testbench, DPI, and UVM.
- Excellent programming skills and knowledge of software engineering practices, including object-oriented design.
- Experience developing scalable and portable testbenches and components.
- Experience with verification methodologies and tools such as simulators, waveform viewers, build and run automation, coverage collection, and gate-level simulations.
- Proficient in scripting languages such as Python or Perl.
- Good interpersonal skills and the ability to work as a standout colleague are a must.
- Extremely self-motivated and eager to solve problems
- 3+ years of Design Verification experience.
Desired Skills and Qualifications
- Knowledge of pipelined processor architecture.
- BS or MS in Computer Science or Electrical Engineering.
- 3+ years of hands-on Design Verification experience.
The base salary range for this position is $120,000 to $240,000 annually. Actual compensation may include bonus and equity, and will be determined based on factors such as experience, skills, and qualifications.
We are open to remote candidates.
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.
Read our blog: Five Reasons to Join Cerebras in 2026.
Apply today and become part of the forefront of groundbreaking advancements in AI!
Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.
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