Senior Staff AIML Scale Engineer
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Posted on:
Yesterday
Vacancies:
1 Vacancy
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 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
This team at Marvell develops Murals a next-generation AI/ML infrastructure simulation and design platform that enables in-depth analysis and optimization of large-scale training and inference workloads. Leveraging trace-driven simulation performance modeling and hardware/software co-design the team helps shape scalable and resilient solutions for advanced workloads such as LLMs DLRMs GenAI and GNNs.Working closely with system architects hardware designers and ML practitioners the team explores innovative ways to optimize compute memory and networking subsystems across complex datacenter environments.
What You Can Expect
Simulation & Modeling Implement workflows to study AI/ML workloads using trace-driven and analytical models.
Performance Analysis Profile and analyze system bottlenecks across compute memory and network layers.
Networking Studies Evaluate collective communication performance (all-reduce all-to-all reduce-scatter) across different topologies and fabrics.
Tooling & Automation Develop utilities for trace generation merging conversion and visualization.
Prototype & Validation Test distributed training and inference pipelines in simulated and real environments.
Hardware/Software Co-Design Collaborate on emerging technologies (CXL DPUs NVLink PCIe UET/UEC in-network compute).
Scaling Studies Conduct performance projections and trade-off studies for next-gen AI infrastructure.
Knowledge Sharing Document workflows publish internal reports and drive peer learning.
What Were Looking For
Bachelors Masters or PhD in Computer Science Electrical Engineering or related field with 412 years of relevant professional experience.
Strong foundation in computer architecture distributed systems AI/ML and operating systems.
Solid networking fundamentals including TCP/IP RDMA RoCE UET/UEC and switching/routing.
Experience with simulation frameworks (e.g. Astra-Sim Chakra gem5 SST NS-3).
Hands-on with PyTorch/TensorFlow and distributed training frameworks (DDP Horovod DeepSpeed).
Strong programming skills in Python C and scripting for automation.
Familiarity with interconnect and memory technologies (CXL PCIe NVLink UAL).
Experience with profiling telemetry observability and debugging tools.
Knowledge of collective communication algorithms and topology-aware scheduling.
Exposure to AI accelerators memory disaggregation DPUs and custom silicon.
Familiarity with visualization tools (Perfetto Chrome Tracing Chakra Timeline Flamegraphs).
Experience with large-scale AI training pipelines and scaling studies.
Interest in energy/performance trade-offs and resilience techniques.
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. Were 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 its 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
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-MN1Required Experience:
Staff IC
Key Skills
- Computer Science
- Docker
- Kubernetes
- Python
- VMware
- C/C++
- Go
- System Architecture
- gRPC
- OS Kernels
- Perl
- Distributed Systems
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.
