Solutions Architecture Intern PhD
Solutions Architecture Intern PhD
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
About Marvell
Marvells 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
We are seeking talented and motivated graduate pursuing masters or PhD in Computer Science or related field to join our team as a Solutions Intern focused on driving innovation aligning technology to create state of the art solutions to solve customer needs. This role will contribute to the development of novel solutions to accelerate hyperscale AI applications involving billion scale datasets in a heterogenous compute environment powered by Marvell Products and IPs.You will get hands-on experience with hyperscale workloads such as Vector and Graph Databases KV Caches Ranking and Recommendation Systems Large Language Models Retrieval-Augmented Generation accelerated by a broad range of custom compute connectivity storage security technologies.
You will have a unique opportunity to work closely with architects and technologists to influence research and development in cutting-edge forward-looking technologies in the accelerated compute networking storage and security domains such as CXL and other emerging low-latency transport protocols AI/ML Post Quantum Cryptography etc.
What You Can Expect
- System architectural design and implementation of specific proof of concepts involving diverse workloads for optimal execution in distributed heterogeneous memory compute and storage environments.
- Advanced benchmarking characterization and performance analysis of complex workloads by monitoring metrics such as response times latency resource utilization etc.
- Work closely with experienced hardware and software architects data scientists and system engineers.
- Development of simulation environments of large-scale setups and configurations e.g. in the AI/ML domain.
- Close collaboration with focused teams on various tasks including troubleshooting diagnosing and resolving performance issues.
What Were Looking For
- Must be currently pursuing Masters or Computer Science Electrical Engineering Data Science or other related fields
- Proficiency in performance benchmarking of AI data processing workloads system profiling and analyzing end-to-end flows
- Experience in accelerated compute for AI workloads esp. vector and graph databases or similar big data applications
- Python and experience with data analysis libraries (e.g. pandas NumPy)
- Familiarity with machine learning frameworks (e.g. TensorFlow PyTorch) and interest in generative AI
- Strong analytical skills with attention to detail and ability to work independently on complex problems.
Expected Base Pay Range (USD)
27 - 55 $ per hour.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
For Internship roles we are proud to offer the following benefits package during the internship - medical dental and vision coverage perks and discount programs wellness & mental health support including coaching and therapy paid holidays paid volunteer days and paid sick time. Additional compensation may be available for intern PhD candidates.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
As part of our commitment to fair and authentic hiring practices we ask that candidates do not use AI tools (e.g. transcription apps real-time answer generators like ChatGPT CoPilot or note-taking bots) during interviews.
Our interviews are designed to assess your personal experience thought process and communication skills in real-time. If a candidate uses such tools during an interview they will be disqualified 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-SC1Required Experience:
Intern
Employment Type
Full-Time
