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Verification Engineer Intern Jobs in California (NOW HIRING)

... verify conditional pause agreements, and are trusted with AI incident investigations by frontier ... We're looking for platform engineering interns to help build and maintain that platform, working ...

The intern will work with team and external vendor to bring up and validate fully redundant system ... verification signals in application materials based on available information. These tools assist ...

As an AI Native Intern, you will be placed on one of our engineering or product teams tackling high ... and verification) and support ticket lifecycle management (categorization, diagnosis, routing ...

As an AI Native Intern, you will be placed on one of our engineering or product teams tackling high ... and verification) and support ticket lifecycle management (categorization, diagnosis, routing ...

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Verification Engineer Intern information

What does a verification engineer intern do?

A Verification Engineer Intern assists in testing and validating hardware or software designs to ensure they function correctly according to specifications. This often involves creating testbenches, writing and running simulations, analyzing results, and identifying bugs. Interns work closely with design and verification teams, learning industry-standard tools and methodologies. Their contributions help ensure product reliability and performance before release.

What is the difference between Verification Engineer Intern vs Verification Engineer?

AspectVerification Engineer InternVerification Engineer
CredentialsTypically pursuing or recently completed a relevant degree (e.g., Electrical Engineering, Computer Engineering)Bachelor's or Master's degree in a related field, with some roles requiring certifications or experience
Work EnvironmentInternship setting, often part-time or temporary, in a corporate or R&D labFull-time professional role within engineering teams, involved in ongoing projects
Employer & Industry UsageUsed in tech companies, semiconductor firms, and hardware development companiesCommon in similar industries, with more responsibilities and independence

The main difference between a Verification Engineer Intern and a Verification Engineer lies in experience, responsibilities, and employment status. Interns are typically students gaining practical experience, while Verification Engineers are full-time professionals responsible for designing and executing verification plans to ensure product quality.

What are some typical responsibilities and learning opportunities for a verification engineer intern?

As a Verification Engineer Intern, you can expect to work closely with experienced engineers to develop and execute test plans, write testbenches, and debug hardware designs. You'll often use verification languages like SystemVerilog and tools such as UVM, gaining hands-on experience with industry-standard methodologies. Interns are encouraged to ask questions, participate in design reviews, and collaborate with both design and software teams, which provides valuable exposure to the entire chip development process. This role is an excellent opportunity to build practical skills, receive mentorship, and explore different career paths within hardware engineering.

What are the key skills and qualifications needed to thrive as a verification engineer intern, and why are they important?

To thrive as a Verification Engineer Intern, you need a solid understanding of digital design fundamentals, computer architecture, and programming languages like SystemVerilog or Python, often supported by coursework in electrical or computer engineering. Familiarity with simulation tools (e.g., ModelSim, VCS), version control systems, and scripting is typically required. Attention to detail, problem-solving abilities, and effective communication make an intern stand out in this collaborative and detail-oriented role. These skills and qualities are vital for accurately identifying design flaws, ensuring product quality, and contributing effectively to engineering teams.
What are the most commonly searched types of Verification Engineer jobs in California? The most popular types of Verification Engineer jobs in California are:
What are popular job titles related to Verification Engineer Intern jobs in California? For Verification Engineer Intern jobs in California, the most frequently searched job titles are:
What cities in California are hiring for Verification Engineer Intern jobs? Cities in California with the most Verification Engineer Intern job openings:

Platform Engineer, Intern

METR

Berkeley, CA

$150/hr

Full-time, Internship

Posted 15 days ago


Job description

About METR

We are a nonprofit research organization that develops scientific methods to assess AI capabilities, risks, and mitigations, with a specific focus on threats related to AI R&D automation and misalignment.

METR has consistently set precedents for catastrophic AI risk evaluations, including the first independent safety evaluations (working informally with Anthropic and OpenAI in 2022), the first loss-of-control evaluations and first agentic dangerous capability evaluations, the first evaluations using finetuning (mentioned briefly here), the first independent evaluations using internal information about training, the first review partnership for company risk analysis, the first embedded redteaming, and the first evaluations of internal deployments.

We've been consulted and/or favorably referenced by groups on opposite ends of various spectra, including a16z, Khosla, Gary Marcus, Obama, and Dean Ball, and are known for producing one of the most positive results on AI capabilities (the time horizon trend) and the most negative (our downlift study). We're generally referenced as the canonical third party assessor, e.g. as the obvious candidate to verify conditional pause agreements, and are trusted with AI incident investigations by frontier labs and governments. 

We believe it is robustly good for policymakers and civil society to have a clear understanding of risks from AI systems, and we are extremely excited to build a team of ambitious, excellent people to tackle one of the most important challenges of our time.

About the role

Nearly everything we do runs on our evaluation platform, and we're expanding the ambition, speed, and scale of our evaluations over 2026 (Time Horizon 2.0, our first large-scale monitorability publication, industry-wide risk assessment programs). This means the platform needs to do more, faster, and more reliably.

We're looking for platform engineering interns to help build and maintain that platform, working directly with our infrastructure team. You would report to Mischa Spiegelmock, who leads the team.

What the role looks like

You'll join our infrastructure team and be expected to learn many things mostly on your own, with some guidance. We will be happy to answer questions and guide you, but expect to do a fair bit of reading and discovery. This work includes:

  • Helping build and maintain the world's leading open-source LLM evaluation platform.

  • Debugging and improving LLM evaluations.

  • Deploying and managing cloud infrastructure.

  • Building robust observability and monitoring of our cloud platform.

  • Building agents to automate tasks.

  • Supporting AI researchers in their quests to challenge and confound the leading AI models.

What we're looking for

We're looking for someone passionate about software, open source, and learning - the kind of person who works on personal projects for fun and has a track record of teaching themselves new things.

  • You have deep familiarity with UNIX/Linux systems.

  • You have some low-level programming experience (C, C++, or Rust - open source contributions are a plus).

  • You know more about LLMs than the average engineer - you can talk about transformers and embeddings, or have done ML work.

  • You have basic web development experience (full-stack, React, TypeScript).

  • Nice to haves: AWS (IAM, ECS, Lambda), PostgreSQL, infrastructure-as-code (Terraform, Pulumi, CDK), Kubernetes administration, or experience with LLM evaluation tooling like Inspect.

None of these individually is a hard requirement. Evidence that you pick things up quickly matters more than having experience with all of the above.

Logistics
  • Fixed-term internship running from August 31 to December 18, 2026, with potential to convert to full-time.
  • In-person at METR's office in Berkeley.
  • If you lack US work authorization, we may be able to sponsor visas for this role.
  • Compensation: $150/hr.
  • Our office also provides catered breakfast/lunch/dinner daily, and an in-office gym and shower.
Our Culture
METR is a mission-driven organization. We believe our work can meaningfully shape humanity's future for the better, and we want to be the best people in the world doing this work. We have a tight-knit, collaborative research culture rooted in truth-seeking and integrity. We're fiercely committed to producing high-quality, trustworthy science. We're honest and transparent about our results, especially when they may go against the grain. We've earned trust as reliable partners who handle confidential information with care. We maintain a low-ego, drama-free environment focused on what matters. 
 
We are committed to diversity and equal opportunity in all aspects of our hiring process. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We welcome and encourage all qualified candidates to apply for our open positions.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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