Endereço100015118 Career area:
Hardware Engineering Country/Region:
Brazil State:
São Paulo City:
Sao Paulo Date:
Monday, March 25, 2024 Additional Locations :
* Brazil Why Work at Lenovo We are Lenovo. We do what we say. We own what we do. We WOW our customers. Lenovo is a US$62 billion revenue global technology powerhouse, ranked #171 in the Fortune Global 500, employing 77,000 people around the world, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver smarter technology for all, Lenovo has built on its success as the world's largest PC company by further expanding into growth areas that fuel the advancement of 'New IT' technologies (client, edge, cloud, network, and intelligence) including server, storage, mobile, software, solutions, and services. This transformation together with Lenovo's world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit and read about the latest news via our StoryHub . Description and Requirements Job Description As an HPC Architect, you will play a crucial role in designing and implementing cutting-edge architectures for high-performance computing systems, enabling efficient and scalable computation for scientific, research, and data-intensive applications. You will collaborate closely with cross-functional teams, including hardware engineers, software developers, and domain experts, to deliver optimized solutions that meet the demanding requirements of HPC workloads. Responsibilities
- Design and develop high-performance computing architectures that deliver exceptional computational performance, scalability, and energy efficiency.
- Collaborate with hardware engineers to design and optimize the system's computational components, including processors, accelerators, interconnects, and memory subsystems.
- Work closely with software developers to define and implement software frameworks, libraries, and tools that maximize performance and productivity on the target HPC architecture.
- Conduct performance analysis, benchmarking, and modeling to identify performance bottlenecks, optimize system parameters, and guide architectural enhancements.
- Define system-level requirements, including processing power, memory capacity, I/O bandwidth, and storage capabilities, and ensure compliance with industry standards and customer expectations.
- Evaluate and select appropriate technologies, including processors, accelerators, and network fabrics, based on application requirements, performance characteristics, and cost considerations.
- Collaborate with domain experts and application developers to understand the unique requirements of specific scientific, research, or data-intensive workloads and propose tailored architectural solutions.
- Stay up-to-date with the latest advancements in HPC hardware, software, and industry trends to guide future system designs and technology adoption.
- Work closely with vendors and suppliers to evaluate emerging HPC technologies, assess their suitability for specific applications, and negotiate supply agreements.
- Provide technical guidance and mentorship to junior team members, fostering knowledge sharing and best practices within the HPC architecture domain.
- Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, or a related field. A Ph.D. is a plus.
- Strong expertise in high-performance computing architecture design, including processors, accelerators, interconnects, and memory subsystems.
- Proven experience in designing and optimizing HPC architectures for scientific, research, or data-intensive applications.
- Proficiency in parallel programming models and frameworks, such as OpenMP, MPI, CUDA, or OpenCL, and their application to HPC workloads.
- Solid understanding of performance analysis and optimization techniques for parallel computing, including profiling, tracing, and performance counters.
- Familiarity with industry-standard interconnects and network fabrics, such as InfiniBand, Ethernet, or Omni-Path, and their impact on HPC system performance.
- Knowledge of memory subsystems and memory hierarchy designs, including cache coherence protocols, memory models, and NUMA architectures.
- Experience with HPC software stack components, such as compilers, runtime systems, job schedulers, and scientific libraries.
- Excellent problem-solving abilities and the ability to analyze and address complex performance and scalability challenges.
- Strong communication and collaboration skills to work effectively with cross-functional teams and domain experts.
- English Fluent , Spanish Communication
* Brazil * Brazil
