Accelerated Computing Solutions Analyst Early Career
Santa Clara County, CA - USA
Job Summary
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
The Technology and Solutions Architecture team is innovating at the intersection of hardware and software Building co-optimized solutions for the most demanding AI data center challenges reimagining the data- movement / storage / transformation / processing pipelines with purpose-built Marvell accelerators to advance next-generation AI infrastructure and shaping open standards..We are seeking an innovative AI Solutions Analyst to research explore and build co-optimized fabric-attached shared disaggregated and multi-tier memory and storage solution architectures designed to meet the rapidly scaling memory and storage demands of XPU for increasingly data-centric workloads.
You will work closely with architects technologists and product teams to influence research and development in cutting-edge forward-looking technologies in the disaggregated memory storage networking and security domains.
What You Can Expect
- Develop Next-Gen Solutions:Partner with hardware and software architects technologists and IC engineering teams to develop scalable high-performance cutting-edge AI/ML infrastructure.
- Foster Innovation:Spearhead advancements in accelerating AI/ML applications in heterogenous and disaggregated compute architectures networking storage and security domains focusing on emerging technologies such as CXL UAL UEC low-latency transport protocols and Post-Quantum Cryptography.
- Architect and Execute:Lead system architectural design and implement proof-of-concept solutions for diverse workloads optimizing execution across distributed heterogeneous memory compute and storage environments. Present innovative ideas and substantiated proof-points to senior management and CTOs.
- Represent in Standards Bodies:Advocate Marvells leadership in industry standards bodies and working groups shaping new standards and emerging technologies aligned with Marvells strategic interests.
- Analyze Performance:Conduct advanced characterization and performance analysis of complex workloads monitoring critical metrics such as response time latency and resource utilization.
- Build Simulation Environments:Create and refine simulation environments for large-scale setups and configurations especially in the AI/ML domain.
- Document and Visualize Insights:Develop comprehensive documentation and data visualizations to support analysis and insights leveraging tools like Python and related libraries.
- Stay at the Forefront:Keep abreast of the latest developments in generative AI and hardware data analysis and propose innovative approaches to enhance device tuning and interoperability performance.
What Were Looking For
PhD or Masters degree in computer science and engineering electrical engineering or related field
HW/SW co-design experience with proven expertise with GPUs DPUs FPGAs or custom hardware accelerators
Processor micro-architectures (preferably ARM) scalar and vector processing pipelines techniques to optimize memory bound applications
Deep understanding of memory or storage subsystems disaggregated memory for accelerators cluster level shared memory approaches NVMeoF
Familiarity with coherent / non-coherent interconnects like CXL UAL NVLink and multi-GPU / multi-node communication mechanisms and optimization techniques like SHARP and NCCL
Proficiency in performance benchmarking of AI data processing workloads system profiling and analyzing end-to-end flows
Experience with simulators & modelingGPU/CPU cooperative accelerated computing optimizing / accelerating data-centric AI workloads
Expected Base Pay Range (USD)
94160 - 141000 $ per annumThe 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
Marvell is committed to providing exceptional comprehensive benefits that support our employees at every stage - from internship to retirement and through lifes 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.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.
#LI-SC1Required Experience:
IC
About Company
Designed for your current needs and future ambitions, Marvell delivers the data infrastructure technology transforming tomorrow’s enterprise, cloud, automotive, and carrier architectures for the better.