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Entry Level Design Verification Engineer Jobs in Fresno, CA

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Entry Level Design Verification Engineer information

See Fresno, CA salary details

$104.8K

$148.1K

$165.8K

How much do entry level design verification engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for entry level design verification engineer in Fresno, CA is $148,093.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,000.00 and $164,800.00 per year, depending on experience, location, and employer.

What is an entry level design verification engineer?

An Entry Level Design Verification Engineer ensures that hardware designs function correctly before production. They write and run testbenches using languages like SystemVerilog and work with simulation tools to verify chip functionality. Their role involves debugging, analyzing test results, and collaborating with designers to refine designs. This position is crucial in the semiconductor industry to prevent costly design errors. Typically, they work with verification methodologies like UVM to create efficient and reusable test environments.

What does an entry level design verification engineer do?

As an Entry Level Design Verification Engineer, your daily activities often include writing and executing testbenches, analyzing simulation results, identifying design bugs, and collaborating closely with design and development engineers to resolve issues. You may also be responsible for maintaining verification documentation and participating in code reviews or team meetings. The role involves a mix of hands-on technical work and teamwork, allowing you to learn best practices from experienced colleagues. Over time, you'll have opportunities to take on more complex verification tasks and contribute to process improvements as you gain experience.

What are the key skills and qualifications needed to thrive as an entry level design verification engineer?

To thrive as an Entry Level Design Verification Engineer, you need a solid understanding of digital logic design, computer architecture, and verification methodologies, typically supported by a degree in electrical engineering, computer engineering, or a related field. Familiarity with hardware description languages (such as Verilog or VHDL), simulation tools, and industry-standard verification frameworks is essential. Strong analytical skills, attention to detail, and effective communication are vital soft skills for diagnosing issues and collaborating with design teams. These skills ensure accurate verification of hardware designs and smooth integration within the broader engineering workflow.

What are the most commonly searched types of Design Verification Engineer jobs in Fresno, CA?

The most popular types of Design Verification Engineer jobs in Fresno, CA are:

What cities near Fresno, CA are hiring for Entry Level Design Verification Engineer jobs?

Cities near Fresno, CA with the most Entry Level Design Verification Engineer job openings:

Infographic showing various Entry Level Design Verification Engineer job openings in Fresno, CA as of August 2026, with employment types broken down into 83% Full Time, 15% Part Time, and 2% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $148,093 per year, or $71.2 per hour.

Summer 2027 Internship - RWE Data Scientist - Virtual

Stryker

Fresno, CA • On-site

$35/hr

Other

Posted yesterday

New


Stryker rating

8.2

Company rating: 8.2 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

133rd of 496 rated machine equipment manufacturers


Job description

What You Get Out of the Internship

At Stryker, we believe that developing the next generation of talent is just as important as developing life-changing medical technologies. As an intern, you won’t just observe — you’ll contribute to meaningful projects, gain exposure to leaders who will mentor you, and experience a culture of innovation and teamwork that is shaping the future of healthcare. As an intern, you will:

  • Apply classroom knowledge and gain experience in a fast-paced and growing industry setting
  • Implement new ideas, be constantly challenged, and develop your skills
  • Network with key/high-level stakeholders and leaders of the business
  • Be a part of an innovative team and culture
  • Experience documenting complex processes and presenting them in a clear format

Who We Want

Challengers. People who seek out the hard projects and work to find just the right solutions.

Teammates. Partners who listen to ideas, share thoughts and work together to move the business forward.

Charismatic networkers. Relationship-savvy people who intentionally make connections with both internal partners and external contacts.

Strategic thinkers. Interns who propose innovative ideas and consistently exceed their performance objectives.

Customer-oriented achievers. Individuals with an unparalleled work ethic and customer-focused attitude who bring value to their partnerships.

Game changers. Persistent interns who will stop at nothing to live out Stryker’s mission to make healthcare better.

Opportunities Available

As a Real-World Evidence Data Science intern at Stryker, you will:

  • Work cross functionally with different departments including Clinical Affairs, Health Economics & Outcomes Research (HEOR), Regulatory Affairs, and Marketing to support real-world evidence generation programs
  • Assist in the design and execution of observational studies using claims (e.g., Premier PINC AI, NIS) and other real-world data sources
  • Support data extraction, cleaning, and analysis of structured and unstructured healthcare data, including applying NLP techniques to unstructured billing/clinical data
  • Prepare literature review summaries and evidence syntheses to support publication and regulatory submission efforts
  • Build and refine statistical models (e.g., propensity matching, survival analysis) under the mentorship of the RWE Research team
  • Shadow cross-functional team meetings to gain exposure to how RWE informs regulatory, reimbursement, and commercial strategy

What You Need

Required:

  • Currently pursuing a Master’s degree in Biostatistics, Epidemiology, Health Services Research, Health Economics and Outcomes Research (HEOR), Health/Biomedical Informatics, Data Science, or a related quantitative field; must remain enrolled in a degree-seeking program after the internship
  • Cumulative 3.0 GPA or above (verified at time of hire)
  • Must be legally authorized to work in the U.S. and not require employment-based sponsorship now or in the future
  • Proficiency in SQL and at least one statistical/analytical programming language (Python or R)
  • Coursework or applied project experience with observational/real-world data (claims, EHR, or registry data)
  • Strong written and verbal communication skills, with proven ability to collaborate and build relationships
  • Demonstrated leadership, problem-solving, and organizational skills with the ability to manage multiple priorities
  • Proficiency in Microsoft Office (Excel, Word, PowerPoint) and eagerness to learn in a dynamic environment

Preferred:

  • Prior exposure to claims databases (Medicare, MarketScan, Premier PINC AI, Optum) or EHR data structures
  • Familiarity with causal inference methods (propensity score matching, instrumental variables) and/or survival analysis
  • Experience with NLP applied to unstructured healthcare text
  • Prior coursework, thesis, or practicum work in a medtech, pharma, or payer setting

$20 min hourly wage – $35 max hourly wage, sign-on bonus, 11 paid holidays annually, and either paid corporate housing or a living stipend, dependent upon hiring location

Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually.


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