ZipRecruiter

Log In

1

Internship Data Validation Jobs in California (NOW HIRING)

Genesis AEC

Validation Engineer I

Irvine, CA · On-site

$60K - $70K/yr

Perform temperature mapping, including (program, setup, and data analysis) * Identifying ... Minimum 0 - 2 years of previous experience, internship experience can be included. * Strong ...

Genesis AEC

Validation Engineer I

Irvine, CA · Hybrid

$60K - $70K/yr

Perform temperature mapping, including (program, setup, and data analysis) * Identifying ... Minimum 0 - 2 years of previous experience, internship experience can be included. * Strong ...

previous pagenext page

Showing results 21-40

All JobsData Validation JobsInternship Data Validation JobsInternship Data Validation Jobs in California

Internship Data Validation information

What is an internship data validation?

An Internship Data Validation role involves assisting organizations in ensuring the accuracy and integrity of their data. Interns in this position typically verify data sets, identify inconsistencies, and help correct errors by following established validation processes. They may use various software tools to conduct checks and collaborate with other teams to maintain data quality. This role is ideal for those looking to gain experience in data management and analytics.

What are some common challenges faced during a data validation internship, and how can they be overcome?

A Data Validation internship often involves dealing with large datasets that may contain inconsistencies, missing values, or errors. One common challenge is ensuring data accuracy while working under tight deadlines, which requires strong attention to detail and effective time management. Interns may also need to learn new validation tools or programming languages quickly. Collaborating closely with data analysts and IT teams can help interns understand best practices and find solutions to data issues. Seeking feedback and asking questions early on can also accelerate the learning process and improve data validation outcomes.

What is the difference between Internship Data Validation vs Data Analyst?

AspectInternship Data ValidationData Analyst
Required CredentialsTypically pursuing or recent graduate, basic technical skillsBachelor's degree in related field, some certifications
Work EnvironmentInternship setting, supervised, entry-level tasksFull-time, professional environment, analytical responsibilities
Employer & Industry UsageInternship programs in tech, finance, healthcareCompanies across industries, data-driven roles
Comparison Search IntentUnderstanding entry-level data validation rolesLearning about data analysis careers

Internship Data Validation focuses on entry-level tasks like verifying data accuracy under supervision, often as part of an internship program. Data Analysts perform comprehensive data analysis, interpret trends, and support decision-making. While both roles involve working with data, internships are training positions, whereas Data Analysts are full-time professionals with broader responsibilities.

What are the key skills and qualifications needed to thrive as an internship data validation specialist, and why are they important?

To excel as an Internship Data Validation specialist, you need strong analytical skills, attention to detail, and a foundational understanding of data management, often supported by coursework in statistics or computer science. Familiarity with spreadsheet software (like Excel), database management systems, and data validation tools is usually required. Effective communication, problem-solving abilities, and a proactive attitude are standout soft skills for this role. These skills ensure that data is accurate, reliable, and actionable, which is vital for informed business decision-making.
What are the most commonly searched types of Data Validation jobs in California? The most popular types of Data Validation jobs in California are:
What are popular job titles related to Internship Data Validation jobs in California? For Internship Data Validation jobs in California, the most frequently searched job titles are:
What job categories do people searching Internship Data Validation jobs in California look for? The top searched job categories for Internship Data Validation jobs in California are:
What cities in California are hiring for Internship Data Validation jobs? Cities in California with the most Internship Data Validation job openings:
Internship Data Validation jobs near you
Infographic showing various Internship Data Validation job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Principal Validation Lead

Marvell Technology, Inc.

Santa Clara, CA • On-site

Full-time

Life, Retirement

Re-posted 28 days ago

Job description

About Marvell
Marvell's semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology is enabling new possibilities.
At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead.
Your Team, Your Impact
The Principal Validation Engineer (Lead) will own the lab validation strategy and execution for advanced ASIC/SoC products integrating CXL 3.x, HBM, DDR, PCIe, and high-speed SerDes. This role combines hands-on silicon bring-up and debug with technical leadership of validation activities, including test planning, methodology, and coordination across design, DFT, firmware, and product/test engineering.
What You Can Expect
  • Define overall validation strategy and test plans for ASIC/SoC devices with CXL 3.x, HBM, DDR, PCIe, and high-speed SerDes interfaces, covering functionality, performance, power, margining, and interoperability.
  • Lead silicon bring-up and lab validation, including platform bring-up (boards, power, clocks, resets) and interface-level validation for CXL/PCIe/DDR/HBM/SerDes.
  • Provide technical direction to other validation engineers, including test plan reviews, debug guidance, and prioritization of tasks and issues.
  • Configure and operate advanced lab equipment: high-bandwidth oscilloscopes and probes, logic analyzers, PCIe/CXL protocol analyzers, BERTs, pattern generators, power supplies, electronic loads, and environmental chambers.
  • Drive development of lab automation and data analysis infrastructure (Python, TCL, shell, MATLAB or similar) to improve coverage, throughput, and reproducibility.
  • Analyze large data sets to characterize high-speed links and memory interfaces (BER, eye diagrams, jitter, margins, throughput, latency, power) and translate findings into design and validation recommendations.
  • Lead root-cause investigations across silicon, firmware, board design, and test setup; coordinate cross-functional issue closure with design, DFT, firmware, and product/test engineering.
  • Own documentation of validation methodologies, lab setups, and results; communicate status, risks, and mitigation plans to project leadership.
  • Mentor and coach junior validation engineers, helping build a strong, scalable lab validation team and best practices.

What We're Looking For
Required Qualifications
  • Bachelor's degree in Electrical Engineering, Computer Engineering, or related field.
  • Typically 8+ years of industry experience in silicon or system validation, including hands-on lab work.
  • Strong expertise in at least two of the following: CXL (2.0/3.x), PCIe (Gen4/Gen5/Gen6), DDR (DDR4/DDR5), HBM (HBM2/2E/3), high-speed SerDes.
  • Proven experience leading bring-up and validation of complex ASIC/SoC products from first silicon through production.
  • Deep hands-on experience with lab equipment (oscilloscopes, protocol analyzers, logic analyzers, BERTs, power supplies, etc.) and high-speed measurement techniques.
  • Strong scripting and lab automation skills (e.g., Python, TCL, shell, MATLAB) for test control and data analysis.
  • Demonstrated ability to drive cross-functional debug and closure, with clear communication of complex technical issues.

Preferred Qualifications
  • Master's degree in Electrical Engineering, Computer Engineering, or related field.
  • Experience leading small validation teams or acting as technical lead on multi-site projects.
  • Familiarity with DFT features (scan, BIST, JTAG) and their use in bring-up and debug.
  • Experience with signal integrity/power integrity concepts and working with SI/PI or board design teams.

Expected Base Pay Range (USD)
150,680 - 225,700, $ per annum
The successful candidate's starting base pay will be determined based on job-related skills, experience, qualifications, work location and market conditions. The expected base pay range for this role may be modified based on market conditions.
Additional Compensation and Benefit Elements
Marvell is committed to providing exceptional, comprehensive benefits that support our employees at every stage - from internship to retirement and through life's most important moments. Our offerings are built around four key pillars: financial well-being, family support, mental and physical health, and recognition. Highlights include an employee stock purchase plan with a 2-year look back, family support programs to help balance work and home life, robust mental health resources to prioritize emotional well-being, and a recognition and service awards to celebrate contributions and milestones. We look forward to sharing more with you during the interview process.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.
Any applicant who requires a reasonable accommodation during the selection process should contact Marvell HR Helpdesk at TAOps@marvell.com.
Interview Integrity
To support fair and authentic hiring practices, candidates are not permitted to use AI tools (such as transcription apps, real-time answer generators like ChatGPT or Copilot, or automated note-taking bots) during interviews.
These tools must not be used to record, assist with, or enhance responses in any way. Our interviews are designed to evaluate your individual experience, thought process, and communication skills in real time. Use of AI tools without prior instruction from the interviewer will result in disqualification from the hiring process.
This position may require access to technology and/or software subject to U.S. export control laws and regulations, including the Export Administration Regulations (EAR). As such, applicants must be eligible to access export-controlled information as defined under applicable law. Marvell may be required to obtain export licensing approval from the U.S. Department of Commerce and/or the U.S. Department of State. Except for U.S. citizens, lawful permanent residents, or protected individuals as defined by 8 U.S.C. 1324b(a)(3), all applicants may be subject to an export license review process prior to employment.
#LI-SA1

Apply