Field Application Engineering Intern

This role is with Lucid Motors. Lucid Motors uses RippleMatch to find top talent.

About Marvell

Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, automotive, 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

DSP Product Engineering team works on cutting edge highspeed chips that transfer data at a very highspeed at 100Gbps/200Gbps PAM4 signals per differential lane aggregating to 400G/800G total data BW per optical connection. These chips are re-timers/gearboxes and get integrated into different pluggable optical modules, typically used in the cloud-datacenter / AI infrastructure backbone to enable highspeed data connectivity. Product Engineers in the team work on silicon bring up, product qualification/characterization, assessing yield / test stability, test coverage, bench correlation and assist in manufacturing test bring up of the product.

What You Can Expect

As an intern in the Product Engineering organization at Marvell, you will be part of a brilliant growing team of engineers that solves complex problems. In this role, you will be working with our design, product & test development team in US and Offshore; supporting new product introduction projects & activities to ensure smooth transition of these new products from development to manufacturing phase.

• Learn and Support new product introduction (NPI) initial phase of silicon bring up working within  Product Engineering team to validate new device features and test/DFT methodologies.

• Collaborate with ATE Test on test plan/coverage and stability. Assess yields by running the test programs, perform chip testing to ship customer samples. Work within the PE team and learn to drive NPI development of highspeed datacenter products and their variants.

• Involve, Learn & Resolve Test engineering & program related issues.

• Perform data mining and statistical data analysis on wafer sort and final test to support initial product yield/performance assessment. Data mining tools are statistical tools like JMP/Silicon-Dash/PDF

• Perform functional testing and analysis to ensure product operation and reliability.

What We’re Looking For

• Pursuing B.S. in Electronics/Electrical Engineering

• Minimum 0 to 1 year experience in the semiconductor industry

• Good understanding of product test methodology and implementation

• Knowledge of C, C++ programing language is a plus

• Demonstrated Proficiency with strong hands-on test development and debug skills

• Able to work with test equipment (ie, oscilloscope, logic analyzer, etc)

• Strong analytical skills and statistically literate. Knowledge of yield analysis, quality management tools, GR&R, Cp, Cpk.

• Self-directed, capable of managing complex projects, working individually and collaborating with other technologists to achieve objectives

• Excellent communication skills, including written and spoken English

Expected Base Pay Range (USD)

22 - 44, $ per hour.

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

For Internship roles, we are proud to offer the following benefits package during the internship - medical, dental and vision coverage or opt-out credit, perks and discount programs, virtual fitness subsidy, wellness & mental health support including coaching and therapy, paid holidays, paid volunteer days and paid sick time. Additional compensation maybe available for intern PhD candidates.

This role is eligible for our hybrid work model in which you will be able to split time between working from home and on-site in a Marvell office.

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 [email protected].

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