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Performance Engineer

Maharashtra, India (On-site)

Performance Engineer

2 Months ago • 3-10 Years • Research & Development

About the job

8 skills required for this role

Test your skills to join the top 1% applicants for this job

shell

kubernetes

python

cryptography

data-analytics

communication

innovation

networking

Job Description

Marvell seeks a Performance Engineer with 3-10 years of experience in performance benchmarking, system profiling, and debugging. You'll work with cutting-edge technologies in accelerated compute, networking, storage, and security. Must-have skills include Python, Shell scripting, and experience with Container frameworks like Docker and Kubernetes.

Must have:

Performance Benchmarking
System Profiling
Python, Shell Scripting
Container Frameworks

Good to have:

System C Programming
AI/ML Workloads
Networking, RDMA
Network Security Software

Perks:

Competitive Compensation
Great Benefits

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About the job

About Marvell

Marvell’s 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

Marvell's Custom Compute and Storage (CCS) team develops silicon and software for some of the largest companies in the world in the growing datacenter, AI, enterprise, wireless, and automotive compute markets.

If there is a bit being processed, moved, secured, or stored in infrastructure equipment it is likely Marvell's products are involved.The Software Solutions Team in the CCS BU aims to be at the forefront of innovation, researching cutting-edge, emerging technologies, and creating proof of concepts as harbingers of future products.

What You Can Expect

Performance engineering serves a pivotal role in creating state-of-the-art data center infrastructure solutions and IPs that make a significant impact on Marvell’s Accelerated Compute mission.

As a member of the Custom Solutions Performance engineering team, 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.

You will gain a deep understanding of advanced packet handling, security, and virtualization capabilities of our SoCs and strengths of our specialized HW accelerators and use that knowledge to help create compelling solutions.

You will get hands-on experience with real world hyperscale workloads such as Ranking and Recommendation Systems, Large Language Models, Retrieval-Augmented Generation, Big Data Analytics, Vector Databases, KV Caches, accelerated by a broad range of custom compute, connectivity, storage, security technologies.

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 characterization and performance analysis of complex workloads by monitoring metrics such as response times, latency, resource utilization, etc.

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.

Review and improvement of existing designs, infrastructures, and processes

What We're Looking For

Bachelor's degree in computer science, Electrical Engineering or related fields and 5-10 years of related professional experience OR Master’s degree and/or PhD in Computer Science, Electrical Engineering, or related fields with 3-5 years of experience.

Experience and proficiency with a subset of the following domains is required:

Hands-on experience in performance benchmarking, system profiling and debugging, analysis and tuning

Experience with Container frameworks like Dockers, Kubernetes, etc.

Proficiency in python, shell scripting and experience in system C programming

Experience with complex compute environments, high-speed Network Packet I/O and networking security

Experience with setting up AI/ML workloads and benchmarking, MLPerf or similar, will be a plus

Experience in networking, RDMA, NVMe will be a plus

Familiarity with network security software, specifically Firewalls, IPSec, TLS, IPS, etc.

Understanding of operating system concepts like DMA, interrupts, processes & threads, memory management, cache management, synchronization, etc.

High energy, positive attitude, with propensity to learn and explore, and flourish in a dynamic, fast moving, and creative environment.

Very hands-on with setups, software, hardware, systems.

Excellent communication and interpersonal skills, and ability to work in a distributed team environment.

Self-driven, able to plan and execute tasks and projects, independently and in collaboration with other team members.

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.

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