Staff Data Science Engineer - Hardware & Silicon Validation

Requirements

• Bachelor’s degree in Computer Science, Electrical Engineering, or related field with 3–5 years of industry experience, or Master’s / PhD with 1-2 years of experience Strong foundation in data analysis, statistical modeling, and machine learning Proficiency in Python (pandas, numpy, matplotlib/seaborn, scikit-learn or similar) Experience with data visualization tools such as Tableau or equivalent (e.g., Power BI, Superset) Experience working with large datasets and performing data cleaning, transformation, and feature engineering Preferred Qualifications Experience with cloud platforms (e.g., Amazon Web Services, Snowflake, Databricks) Familiarity with data pipeline development (ETL, streaming, batch processing) Experience with time-series data analysis or signal/data from hardware systems Exposure to DSP systems, networking, or semiconductor validation workflows Experience with SQL and database systems (e.g., Snowflake, PostgreSQL) Knowledge of machine learning for anomaly detection, prediction, or optimization Familiarity with dashboard design for engineering workflows #LI-TM1 ​ Expected Base Pay Range (USD) 108,220 - 162,100, $ 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.
• 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