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Staff Software & AI Engineer

Marvell

Staff Software & AI Engineer

Marvell

Yokneam

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Annual team offsites

Health, dental, and vision coverage

Flexible PTO policy

Learning and development stipend

Top Tier compensation with equity

Required Skills

Python

PyTorch

SQL

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
Marvell’s Software Solutions & AI Group is looking for an experienced Staff Software & AI Engineer to build and deploy high-impact engineering software and AI-enabled solutions. This role combines robust software architecture, scalable automation, and the practical application of Machine Learning(ML) and Deep Learning(DL) methods.
You will take end-to-end technical ownership of sophisticated software systems and automation frameworks that leverage data and intelligent algorithms to solve complex system-level challenges. While the primary focus remains on high-quality, scalable software engineering, you will strategically apply AI/ML/DL approaches to enhance solutions and improve day-to-day engineering workflows.
You will work in close collaboration with hardware, validation, systems, and software teams, considering real hardware constraints and system-level interactions, and translating data-driven opportunities into robust, operational solutions.

  • What You Can Expect

  • Experience deploying and managing ML models in production (MLOps).

  • Experience with distributed data processing for high-volume engineering datasets.

  • Familiarity with Docker, and modern CI/CD pipelines.

  • Experience handling and processing large-scale engineering data.

  • What We're Looking For Required Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.

  • 5+ years of professional software engineering experience, with demonstrated ownership of complex systems or solutions.

  • Strong hands-on experience applying AI/ML/DL methods in real-world software systems

  • Solid understanding of AI/ML/DL workflows and models, including data preparation, training, validation/testing, and evaluation.

  • Experience integrating AI-driven components into larger software systems or automation frameworks.

  • Strong Python skills (required), hands-on experience with AI/ML/DL libraries (e.g., Py Torch, Tensor Flow, scikit-learn), and experience in C++/C# or similar languages.

  • Proven ability to design and build scalable, maintainable software architectures.

  • Ability to design solutions with awareness of system-level behavior and hardware constraints.

  • Experience working in Linux-based environments.

  • Strong collaboration and communication skills across software, hardware, and validation teams.

Additional Compensation and Benefit Elements:

With competitive compensation and great benefits, you will enjoy our workstyle within an environment of shared collaboration, transparency, and inclusivity. We’re dedicated to giving our people the tools and resources they need to succeed in doing work that matters, and to grow and develop with us. For additional information on what it’s like to work at Marvell, visit our Careers page.

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.

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.

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About Marvell

Marvell

Marvell

Public

Marvell Technology, Inc. is an American company, headquartered in Santa Clara, California, which develops and produces semiconductors and related technology.

5,001-10,000

Employees

Santa Clara

Headquarters

Reviews

3.8

10 reviews

Work Life Balance

3.2

Compensation

3.8

Culture

3.5

Career

2.8

Management

3.4

65%

Recommend to a Friend

Pros

Good food/cafeteria

Supportive team and management

Good work-life balance

Cons

Limited career growth opportunities

Job security concerns/layoffs

Micromanagement issues

Salary Ranges

13 data points

Junior/L3

Junior/L3 · Data Science and Engineering Professional II

1 reports

$111,800

total / year

Base

$86,000

Stock

-

Bonus

-

$111,800

$111,800

Interview Experience

1 interviews

Difficulty

4.0

/ 5

Duration

14-28 weeks

Offer Rate

100%

Experience

Positive 100%

Neutral 0%

Negative 0%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Technical Interview

5

Final Round/Onsite

6

Offer

Common Questions

Technical Knowledge

System Design

Behavioral/STAR

Past Experience

UI/Frontend Architecture