At a Glance
- Tasks: Join our team to shape AI-assisted design verification workflows and mentor others.
- Company: OpenAI, a leader in AI research and deployment.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on collaboration and cutting-edge technology.
- Why this job: Make a real impact in semiconductor innovation while growing your career.
- Qualifications: 5+ years in design verification with strong technical skills in SystemVerilog and UVM.
The predicted salary is between 70000 - 90000 € per year.
About the Team
OpenAI's Forward Deployed Engineering team partners with leading semiconductor companies to deploy production-grade AI systems across the entire chip design lifecycle: design, verification, and physical design. We operate at the intersection of customer delivery and core platform development, embedding deeply with customers to translate frontier model capabilities into systems that materially reduce design cycles, improve verification quality, and accelerate innovation. Our work turns early, high-touch deployments into reusable solution patterns, evaluation practices, and technical playbooks that scale across the semiconductor ecosystem.
About the Role
We are seeking an experienced Design Verification Engineer to join our semiconductor-focused Forward Deployed Engineering team. This is an IC role that will begin with a strong emphasis on design verification expertise, evaluation curation, and technical leverage across deployments, with the expectation that the person will grow into a broader Forward Deployed Engineering role over time. In the near term, you will serve as a senior technical SME for verification workflows: helping FDEs, Product, and Research teams understand how DV work is done in practice, pressure-testing AI-assisted verification ideas against real engineering workflows, and raising the quality of our solutions through deep domain judgment. You will help the broader team build fluency in verification methodology, tooling, and trade-offs. Over time, we expect this role to expand beyond SME support into broader FDE ownership: partnering directly with customers, shaping deployment strategy, building and iterating production-grade AI systems, driving technical workstreams, and helping turn high-touch semiconductor deployments into repeatable solutions. This is a strong fit for someone who brings deep design verification expertise today and is excited to grow into a customer-facing, systems-building, delivery-oriented FDE role.
In this role, you will:
- Serve as the design verification SME for semiconductor deployments, helping teams reason about verification workflows across block, subsystem, and SoC environments.
- Shape AI-assisted workflows for test generation, regression triage, debug, root-cause analysis, and coverage closure.
- Curate evaluations with FDEs and customer SMEs, including golden tasks, labeled examples, rubrics, acceptance criteria, and realistic benchmarks grounded in solved issues and real engineering workflows.
- Build lightweight prototypes, eval harnesses, and tooling that validate opportunities and improve solution quality.
- Educate and mentor the broader FDE team on verification concepts, tooling, and methodology so the org can engage semiconductor workflows with greater depth and confidence.
- Partner with FDEs during customer discovery and scoping to translate ambiguous pain points into clear solution hypotheses, success criteria, and technical plans.
- Support customer-facing technical conversations as a trusted advisor, engaging credibly with technical leaders.
- Progressively take on broader FDE responsibilities, including customer discovery, solution architecture, prototype development, production deployment, and ownership of technical workstreams.
Minimum Qualifications
- BS/MS in EE, CE, CS, or equivalent with 5+ years of experience in design verification for complex IP, subsystem, or SoC programs.
- Demonstrated success verifying complex hardware systems in industry-standard flows, with deep familiarity in block-, subsystem-, and/or top-level verification methodologies.
- Strong hands-on expertise in SystemVerilog, UVM, and common simulation/debug tools such as VCS, Questa, Verdi, or equivalent.
- Strong understanding of constrained-random verification, directed testing, scoreboards, checkers, monitors, stimulus generation, regression infrastructure, and coverage analysis.
- Strong knowledge of computer architecture, RTL/microarchitecture, memory systems, coherency, interconnects, and verification methodology.
- Experience defining verification plans, triaging bugs, and driving debug and root-cause analysis in close partnership with design teams.
- Strong scripting and automation skills in Python or similar; experience building verification tooling, harnesses, or workflow automation is a plus.
- Comfortable operating as a consultative expert who can shape technical direction, evaluate solution quality, and raise the bar across multiple deployments.
- Excited to grow beyond domain SME responsibilities into a broader Forward Deployed Engineering role, including hands-on solution building, customer-facing delivery, and ownership of deployment outcomes.
Preferred Qualifications
- Experience across multiple semiconductor companies, design environments, or tool stacks, with a point of view shaped by different verification cultures and methodologies.
- Familiarity with adjacent domains such as RTL design, formal verification, emulation, performance analysis, or physical design.
- Experience applying AI/LLM systems to semiconductor workflows.
- Experience creating reusable evals, methodology assets, or technical playbooks.
- Prior experience in customer-facing, consultative, field engineering, solutions engineering, or technical delivery roles.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
Design Verification, Forward Deployed Engineering in London employer: OpenAI
OpenAI is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration at the forefront of AI technology. Employees in the Forward Deployed Engineering team benefit from extensive growth opportunities, working closely with leading semiconductor companies to shape cutting-edge solutions while receiving mentorship and support to expand their technical expertise. Located in a vibrant tech hub, OpenAI promotes a diverse and inclusive environment where every voice is valued, making it an ideal place for those seeking meaningful and impactful careers.
StudySmarter Expert Advice🤫
We think this is how you could land Design Verification, Forward Deployed Engineering in London
✨Tip Number 1
Network like a pro! Reach out to folks in the semiconductor industry, especially those who are already working at OpenAI or similar companies. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a presentation that highlights your design verification projects. When you get the chance to chat with potential employers, having tangible examples of your work can really set you apart.
✨Tip Number 3
Be ready for technical discussions! Brush up on your SystemVerilog and UVM knowledge, and be prepared to discuss how you've tackled verification challenges in the past. This will show you're not just a theory person but someone who can apply their knowledge practically.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in being part of our team at OpenAI.
We think you need these skills to ace Design Verification, Forward Deployed Engineering in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your design verification expertise. Use keywords from the job description to show us you understand what we're looking for!
Showcase Your Experience:Don’t just list your past roles; explain how your experience aligns with the responsibilities of this position. We want to see how you've tackled similar challenges in the semiconductor field.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so make sure your skills and experiences shine through without unnecessary fluff.
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role!
How to prepare for a job interview at OpenAI
✨Know Your Verification Methodologies
Make sure you brush up on your design verification methodologies, especially those relevant to block, subsystem, and SoC environments. Be ready to discuss how you've applied these methodologies in past projects and how they can be adapted to the role at OpenAI.
✨Showcase Your Technical Expertise
Prepare to demonstrate your hands-on experience with SystemVerilog, UVM, and simulation tools like VCS or Questa. Bring examples of how you've used these tools to solve complex verification challenges, as this will show your depth of knowledge and practical skills.
✨Engage in Customer-Facing Scenarios
Since this role involves customer interaction, think about past experiences where you've had to translate technical concepts for non-technical stakeholders. Be ready to share how you’ve successfully navigated these conversations and what strategies you used to ensure clarity and understanding.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving abilities, particularly in debugging and root-cause analysis. Prepare specific examples from your previous work where you identified issues, developed solutions, and improved verification workflows, as this will highlight your analytical skills.