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Design Verification Intern Jobs in Seattle, WA (NOW HIRING)

DataRobot

Agentic AI Intern

Seattle, WA · Remote

... and verification) and support ticket lifecycle management (categorization, diagnosis, routing ... You will design and build agentic AI solutions that reduce manual toil and free engineers to focus ...

DataRobot

Agentic AI Intern

Seattle, WA · Remote

... and verification) and support ticket lifecycle management (categorization, diagnosis, routing ... You will design and build agentic AI solutions that reduce manual toil and free engineers to focus ...

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All JobsDesign Verification Intern JobsDesign Verification Intern Jobs in Seattle, WA

Design Verification Intern information

See Seattle, WA salary details

$10

$22

$41

How much do design verification intern jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for design verification intern in Seattle, WA is $22.05, according to ZipRecruiter salary data. Most workers in this role earn between $16.39 and $24.62 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Design Verification Intern position, and why are they important?

To thrive as a Design Verification Intern, you need a solid understanding of digital logic design, computer architecture, and programming, typically supported by coursework in electrical or computer engineering. Familiarity with hardware description languages (such as Verilog or VHDL), simulation tools, and verification methodologies (like UVM or SystemVerilog Assertions) is highly valuable. Strong analytical thinking, attention to detail, and clear communication skills help you collaborate effectively, document findings, and resolve design issues. These competencies are crucial for ensuring high-quality, reliable hardware designs and for contributing meaningfully within engineering teams.

What types of projects or tasks can I expect to work on as a Design Verification Intern?

As a Design Verification Intern, you will typically assist with creating and executing testbenches, developing verification plans, debugging simulation results, and writing scripts to automate testing. You'll work closely with verification engineers and design teams to identify design flaws, validate new features, and help ensure that products meet quality and functional requirements. This hands-on exposure not only deepens your technical skills but also provides insight into the end-to-end hardware development process. You'll frequently collaborate and communicate findings in team meetings, making it a great opportunity to build experience in a real-world engineering environment.

What does a Design Verification Intern do?

A Design Verification Intern assists in testing and validating semiconductor designs to ensure they meet specifications. They work with simulation tools, write testbenches in languages like SystemVerilog, and debug design issues. Interns collaborate with engineers to develop verification plans and automate testing processes. This role provides hands-on experience in hardware design, verification methodologies, and industry tools used in chip development.

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Design Verification Intern jobs near you
Infographic showing various Design Verification Intern job openings in Seattle, WA as of July 2026, with employment types broken down into 86% Full Time, 10% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $45,868 per year, or $22.1 per hour.

Agentic AI Intern

DataRobot

Seattle, WA • Remote

Other

Medical, Dental, Vision

Posted 16 days ago

Job description

Job Description:

DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business - today and in the future.

Our interns are not observers - they are contributors. Each AI Native Intern is embedded in a real team, working on real problems, and is expected to deliver meaningful output over the course of the program. This is how we identify and develop the next generation of AI practitioners who will carry DataRobot's mission forward.

As an AI Native Intern, you will be placed on one of our engineering or product teams tackling high-impact, process-heavy work that is ripe for AI automation. Current focus areas include CVE resolution workflows (triage, impact assessment, dependency upgrades, and verification) and support ticket lifecycle management (categorization, diagnosis, routing, status updates, and resolution documentation). You will design and build agentic AI solutions that reduce manual toil and free engineers to focus on higher-order problems. This is a fully remote position. The program runs approximately 6 months.

WHAT YOU'LL DO:

  • Build and deploy agentic AI workflows that automate repeatable, high-volume engineering processes such as CVE triage and support ticket management

  • Use the DataRobot platform - including AutoML, GenAI tooling, and MLOps capabilities - to design, evaluate, and ship solutions

  • Translate ambiguous team pain points into well-scoped AI/ML problems with defined success criteria

  • Work autonomously on defined project deliverables while staying aligned with your mentor and team

  • Communicate progress through structured weekly updates and a final Intern Showcase presentation to DataRobot leadership

  • Collaborate across engineering, product, and go-to-market teams to understand context and deliver work that sticks

  • Document your work thoroughly so findings and solutions can be handed off and extended after the program

WHAT YOU'LL LEARN:

Agentic AI & Autonomous Systems

  • Design and implementation of multi-agent systems and autonomous reasoning loops

  • Agent evaluation frameworks, tool-use reliability, and safety guardrails for autonomous agents

  • Advanced orchestration using frameworks like LangGraph, CrewAI, or AutoGen for enterprise automation

Platform & Product

  • End-to-end proficiency on the DataRobot platform: GUI, Python/R clients, and API integrations

  • How to automate the ML lifecycle from data ingestion through deployment and monitoring

Business Acumen & Use Case Development

  • How to identify and size AI opportunities within real engineering workflows

  • How to communicate technical findings to both technical and non-technical stakeholders

Communication & Collaboration

  • Async-first collaboration using Slack, Confluence, and structured project updates

  • How to present technical work clearly to senior leaders at a live Intern Showcase

PROGRAM STRUCTURE:

Phase I - Month 1: Onboarding & Foundation

Get oriented to DataRobot's culture, tools, and platform. Complete structured training, co-create your Individual Learning Plan (ILP) with your mentor, and begin shadowing team members on real work.

Phase II - Months 2-3: Core Project Execution

Take ownership of a defined project scoped by your team. Work moves from guided to increasingly independent as you demonstrate competency. Expect weekly feedback from your mentor and regular touchpoints with your Buddy.

Phase III - Months 4-6: Synthesis & Showcase

Finalize your deliverables, document your findings, and prepare for the Intern Showcase - a live presentation to DataRobot leaders and peers. Optional rotations or cross-functional exposure may be available based on performance and team need.

WHAT WE'RE LOOKING FOR:

Required:

  • Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Engineering, or a related quantitative field

  • Working proficiency in Python (pandas, numpy) and comfort with data manipulation and scripting

  • Foundational understanding of machine learning concepts - supervised learning, model evaluation, feature engineering

  • Deep passion for autonomous agents - you have experience building systems that "do" rather than just "chat"

  • Strong written and verbal communication skills; ability to explain technical work clearly to mixed audiences

  • Ability to work independently, manage ambiguity, and escalate blockers appropriately

Nice to Have:

  • Prior hands-on experience with LLMs, prompt engineering, or agentic frameworks (LangGraph, CrewAI, LlamaIndex)

  • Familiarity with the DataRobot platform or other MLOps/AutoML tools

  • Experience with API development (FastAPI, Flask) or containerization (Docker)

  • Prior internship, research, or project experience applying ML to real-world problems

  • Experience with or interest in DevSecOps concepts, CVE triage, or support engineering workflows

The talent and dedication of our employees are at the core of DataRobot's journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees' well-being at the core. Here's what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more!

DataRobot Operating Principles:

  • Wow Our Customers
  • Set High Standards
  • Be Better Than Yesterday
  • Be Rigorous
  • Assume Positive Intent
  • Have the Tough Conversations
  • Be Better Together
  • Debate, Decide, Commit
  • Deliver Results
  • Overcommunicate


Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We'd love to have a conversation with you and see if you might be a great fit.

DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.


Use of Artificial Intelligence in Our Hiring Process


DataRobot uses approved AI-powered tools to support the hiring process in selected regions. These tools may assist in writing job descriptions, reviewing applications, assessing qualifications, and evaluating candidate materials. All decisions regarding applications are made by members of the DataRobot team.

All applicant data submitted is handled in accordance with our Applicant Privacy Policy.

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