Staff Data Science Engineer Hardware & Silicon Validation

About Marvell

Marvells 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

What You Can Expect

Key Responsibilities

Build Data Pipelines:
Design and develop scalable data pipelines to ingest process and store large volumes of DSP validation and test data

Data Analysis & Modeling:
Apply statistical analysis and machine learning techniques to identify patterns detect anomalies and support root-cause analysis

Visualization & Dashboarding:
Develop intuitive dashboards and visualizations to enable AE/FAE and validation engineersto quickly interpret test results and debug issues

Cloud-Based Analytics:
Leverage cloud technologies to process and analyze large-scale datasets efficiently enabling near real-time insights

Collaboration with Engineering Teams:
Work closely with hardware firmware and validation engineers to understand data define metrics and translate complex data into actionable insights Automation & Efficiency:
Build tools and workflows that reduce manual debugging effort and accelerate validation cycles

What Makes This Role Exciting

• Work on cutting-edge high-speed connectivity systems (DSP/PHY)

• Apply AI/ML to real-world hardware validation challenges

• Build end-to-end data platforms(from ingestion analytics visualization)

• Direct impact on product quality and time-to-market

• Opportunity to contribute to next-generation AI-driven debugging platforms

What Were Looking For

We are seeking a highly motivated Data Scientist / Data Analyst to support data analysis and data mining for high-speed DSP (Digital Signal Processing) validation and interoperability testing. This role focuses on building scalable data pipelines developing intelligent analytics and delivering actionable insights to accelerate debug and validation cycles.

You will work at the intersection of hardware systems large-scale data and AI-driven analytics enabling engineers to quickly identify issues optimize system performance and improve product quality.

Minimum Qualifications

• Bachelors degree in Computer Science Electrical Engineering or related field with 35 years of industry experience or Masters / PhD with 1-2years 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 toolssuch asTableauor equivalent (e.g. Power BI Superset)

• Experience working with large datasetsand performing data cleaning transformation and feature engineering

Preferred Qualifications

• Experience with cloud platforms( Web Services Snowflake Databricks)

• Familiarity with data pipeline development(ETL streaming batch processing)

• Experience with time-series data analysisor 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)

The successful candidates 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

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 .

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.