Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field
0-2 years of relevant experience
Proficiency in programming languages such as C, C++, Rust, Python, and ARM/x86 assembly
Solid understanding of the Linux operating system and kernel internals, with a focus on networking
Strong foundation in computer architecture
Knowledge of networking protocols, including TCP/IP and RDMA
Familiarity with network device drivers and frameworks such as DPDK
Experience programming GPUs, DPUs/RDMA NICs, FPGAs, or other hardware accelerators
Knowledge of XPU/GPU and CPU architectures (ARM, x86, RISC-V)
Understanding of advanced networking protocols such as RoCE and NVMe over Fabrics; familiarity with UET protocol is a plus
Experience with simulation and modeling tools such as NS-3, HTSim, ASTRA-sim, or similar
Expected Base Pay Range (USD)
94,160 - 141,000, $ per annum
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
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 TAOps@marvell.com .
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 inte
Benefits
Health insuranceEquity / stock options
Additional Information
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
The Technology and Solutions Architecture team operates at the intersection of hardware and software, driving innovation for next-generation AI infrastructure. We build co-optimized solutions to address the most demanding AI data center challenges-reimagining data movement, storage, transformation, and processing pipelines. By leveraging purpose-built Marvell accelerators, we accelerate performance and scalability while helping shape emerging industry standards.
What You Can Expect
In this role, you will work closely with architects, technologists, and product teams to influence research and development in cutting-edge forward-looking technologies in scale up and scale out networking, disaggregated memory, storage and security domains. You can also expect to:
Stay Current: Keep up with the latest advancements in generative AI, AI infrastructure, and hardware innovation trends
Research & Recommend: Track emerging AI infrastructure technologies, benchmark them against Marvell solutions, and identify opportunities for adoption or enhancement
Analyze Performance: Measure and assess workload performance, including latency, throughput, response times, and resource utilization
Build Simulations: Create simulation environments to model large-scale AI/ML setups and configurations
Support Products & Customers: Provide support for Marvell products and act as a technical bridge between customers and internal teams to troubleshoot and resolve issues
Build Next-Generation Solutions: Partner with hardware, software, and IC design teams to develop scalable, high-performance AI/ML infrastructure
Marvell · Santa Clara, CA