Job
Description
As a Senior Staff Engineer in Machine Learning Software/Firmware Engineering at Marvell, you will have a significant impact on the architecture, design, and implementation of AI infrastructure and ML compiler for Marvell's Machine Learning acceleration and infrastructure. Your responsibilities will include: - Influencing and contributing to the architecture, design, and implementation of AI infrastructure and ML compiler - Working closely with Machine learning, networking, and storage experts to develop compiler and runtime infrastructure - Creating state-of-the-art data center infrastructure solutions and IPs - Architecting, designing, and developing system software for reliable, scalable, high-performing AI/ML systems - Designing and developing the compiler, runtime, and frameworks for Marvell's ML infrastructure and acceleration solutions - Evaluating code performance, debugging, diagnosing, and driving resolution using advanced technologies - Developing and enhancing the AI acceleration plugins for heterogeneous systems - Communicating and collaborating effectively with cross-functional hardware and software engineering teams - Developing software and troubleshooting issues related to hardware bring-up - Hands-on experience on hyperscale workloads and contributing to open frameworks such as LLVM, MLIR, OpenCL, or OpenXLA - Planning, scheduling, estimating efforts for projects and providing technical guidance to junior engineers during execution Qualifications required for this role include: - BS/MS degree in Computer Science, Computer Engineering, or Electrical Engineering - Minimum 8-10 years of experience in architecting and developing compilers and system software - Strong hands-on experience in C++ design and development principles - Experience designing and developing code on Python 3.x - Understanding and working knowledge of CXL memory systems in Heterogeneous computing - Experience with TensorFlow, PyTorch, and JAX - Familiarity with ML accelerators, GPU, and ARM architectures - Experience with AI/ML workloads and benchmarking, MLPerf or similar - Comfortable in GIT, Jira, and Confluence At Marvell, you can expect competitive compensation and great benefits, along with a workstyle that promotes shared collaboration, transparency, and inclusivity. The company is dedicated to providing its employees with the tools and resources needed to succeed, grow, and develop within the organization. For more information on working at Marvell, visit their Careers page. Please note that the company values interview integrity and does not allow the use of AI tools during the interview process to assess candidates" personal experience, thought process, and communication skills in real-time. Additionally, this position may require access to technology subject to U.S. export control laws, and applicants must be eligible to access export-controlled information as defined by applicable law.,
