Jobs Posted on the Whova Community Board of 51st International Symposium on Computer Architecture
If you know anyone in the job market, feel free to share with them
Research Internship 2024
Advanced Micro Devices (AMD) We have a few internship opportunities related to CPU microarchitecture for the Fall 2024 semester! Come learn about how we do early explorations for features for consideration i... n future generations of AMD's "Zen" CPU architectures. Primarily looking for PhD students, but strong MS students will also be considered.
Locations: Various US locations, some possibilities for UK. Work Authorization: due to the relatively short length of internships compared to the processing delays for work authorization paperwork, candidates must already have permission to work in the country of the internship (thankfully, this does include using CPT in the US).
To apply: send a copy of your resume/CV to gabriel.loh@amd.com. Come introduce yourself at the conference as well!
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Machine Learning GPU Performance Engineer
Google We have a couple of roles for pushing the ML workload performance on GPUs. Work scope extends from exploring/identifying areas of performance improvement, compiler inefficiencies ... and potentially work on implementing better cost models, writing custom kernels in triton.
We are aiming to quickly fill these roles, ping me if you are considering joining an opportunity in the near term. Feel free to forward your resumes!
Postdoctoral Researcher in VLSI Reliability and ML Accelerators for GenAI
The Hebrew University of Jerusalem I am seeking a highly motivated and skilled postdoctoral researcher to join our dynamic team. This position involves conducting cutting-edge research in two critical areas: VLSI w... ith a focus on reliability in advanced process nodes, and Machine Learning (ML) accelerators for Generative AI (GenAI)
Link:
None
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Chip Architecture Security Engineer
Tenstorrent We are seeking a highly motivated and detail-oriented Hardware Security Architect to join our dynamic team. As a Hardware Security Architect, you will be responsible for designing... , implementing, and maintaining security measures for our hardware systems. You will work closely with cross-functional teams to ensure the integrity and confidentiality of our hardware components, protecting against potential threats and vulnerabilities. This role is ideal for individuals with a strong background in hardware security and a passion for staying abreast of the latest advancements in the field.
This role is Remote, based out of United States.
Responsibilities:
Developing and maintaining security protocols for a wide range of product lines.
Defining security architecture and participate in design tasks.
Experience & Qualifications:
Bachelor’s degree in Electrical Engineering, Computer Engineering, or a related field.
Demonstrated experience in hardware security design and implementation.
Knowledge of cryptographic algorithms and protocols.
Familiarity with security standards such as ISO 27001, Common Criteria, and FIPS.
Proficiency in hardware description languages (HDL) such as Verilog or VHDL.
Experience with security testing tools and methodologies.
Strong analytical and problem-solving skills
Excellent communication and collaboration skills.
Preferred Qualifications:
Master’s degree in Electrical Engineering, Computer Engineering, or a related field.
Experience with hardware security modules (HSMs) and secure element integration.
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CPU Architect
Tenstorrent We are seeking an experienced CPU Architect to join our team. The successful candidate will lead the architecture and design of RISC-V CPUs, focusing on validating their performan... ce against specifications. This pivotal role involves close collaboration with cross-functional teams, including design, verification, and physical design, to ensure the device meets required specifications pre- and post-silicon availability. The ideal candidate possesses a deep understanding of CPUs, validation methodologies, and industry trends in performance testing.
This role is Remote, based out of the United States.
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Emulation Architect
Tenstorrent Design and development of emulation infrastructure for system in packages (SiPs) for high-performance AI/ML engines. This role requires a high degree of ownership, a strong techni... cal background and a problem-solver mindset. By enabling and optimizing our emulation strategy, you will be ensuring the success of internal and external customers, and making a significant impact on bringing Tenstorrent's products to market.
This role is Hybrid, based out of Austin, TX or Santa Clara, CA.
Responsibilities:
Develop a complete hardware emulation ecosystem
Create the optimal build flow for single and multi-chiplet emulation models with best frequency, emulation foodprint combination
Create emulation test bench for single/multi chiplet models with best in class transactors, monitors,and harness components
Own and develop test plans focusing on unique functional coverage, performance, power extraction and low level software development
Maximize debuggability and automation of the build and run flows.
Create multi-user environment for optimal usage and resource sharing
Develop synthetic components for custom transactors, monitors, checkers etc. to enable architectural analysis, software optimization etc.
Create a strong support system to maximize engineering efficiency of emulation customers
Cross-functional work with Architects, Software and Design/Verification/Emulation teams to define and improve emulation platform
Guide and mentor junior engineers
Experience & Qualifications:
BS/MS/PhD in EE/ECE/CE/CS with at least 10 years of industry experience working with ASICs or SoC teams
Expert understanding of logic design and mapping design to emulation hardware
Expert knowledge of one or more commercial emulators like ZeBu, Palladium, Veloce
Expertise in verilog/systemVerilog/C++/systemC,
Expertise in emulation tools and flows, scripting and automation
Strong problem solving skills
Excellent organizational and communication skills, oral and written.
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Sr. Principal High-Performance Computing Architect
Tenstorrent We are seeking a skilled and experienced High-Performance Computing (HPC) Architect to join our team. As an HPC Architect, you will play a crucial role in designing and implementi... ng 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.
This role is Remote or in one of our offices, based out of The United States.
Responsibilities:
Conduct performance analysis, benchmarking, and write performance models to identify performance bottlenecks, optimize system parameters, and guide architectural enhancements.
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 development frameworks, libraries, and tools that maximize performance and productivity on the target HPC architecture.
Define system-level requirements, including processing power, memory capacity, I/O bandwidth, storage capabilities, and ensure compliance with industry standards and customer expectations.
TBC An industry paid research position at Cambridge (the TRUE Cambridge, UK!!!). This opportunity focuses on publishing cutting-edge papers related to energy efficiency, making it ide... al for recent PhD graduates looking to enhance their publication portfolio. The research areas include energy-efficient prefetchers, Vector Runahead, and ML-based micro-architecture exploration. If you're interested, please get in touch.
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Researcher/Senior Researcher- Machine Learning for Networking Systems
Huawei Research Center Zurich With 28 sites across Europe and 2000 researchers, Huawei’s European Research Institute (ERI) oversees fundamental and applied technology research, academic research cooperation pr... ojects, and strategic technical planning across our network of European R&D facilities. Huawei’s ERI includes the Zurich Research Centre (ZRC), located in Zurich, Switzerland. A major element of ZRC is a new research laboratory focused on research in the area of Networking. Responsibilities:
Conduct innovative research in applying machine learning to enhance networking systems and protocols between computing devices (e.g., CPU, GPU), memory, and peripherals. Design, develop, and evaluate machine learning algorithms to manage system resources and optimize network performance, latency, and power. Innovate and develop new technologies in the field of machine learning for networking systems. Produce and present research papers at top-tier conferences, and write white papers on current developments and future research directions. Establish and maintain research partnerships with leading universities and professors specializing in networking systems, computer architecture, and high-performance computing.
Requirements:
PhD or MSc in Computer Science, Electrical Engineering, or related fields. Specialization in Machine Learning and background in Computer Architecture is a must. Proven track record of publishing research papers in prestigious conferences or high-impact journals in the intersection of machine learning and networking systems, high-performance computing, or computer architecture. Proficiency in programming languages such as Python, TensorFlow, and PyTorch. Research experience and/or strong knowledge in several of the following areas: Machine learning model for workload characterization Distributed machine learning, DNN, and LLM Memory sub-system arrangement Network architecture and networking systems in datacenter servers High-performance computing system architecture
Link:https://careers.huaweirc.ch/jobs/4613478-researcher-senior-researcher-machine-learning-for-networking-systemsSee More >>
Researcher/Senior Researcher - Networking Systems
Huawei Research Center Zurich With 28 sites across Europe and 2000 researchers, Huawei’s European Research Institute (ERI) oversees fundamental and applied technology research, academic research cooperation pr... ojects, and strategic technical planning across our network of European R&D facilities. Huawei’s ERI includes the Zurich Research Centre (ZRC), located in Zurich, Switzerland. A major element of ZRC is a new research laboratory focused on research in the area of Networking Responsibilities:
Conduct cutting-edge research in networking systems, computer architecture, and high-performance computing. Develop and prototype new architectural features and improvements. Produce and present research papers at top-tier conferences, and write white papers on current developments and future research directions. Establish and maintain research partnerships with leading universities and professors specializing in networking systems, computer architecture, and high-performance computing. Mentor junior researchers and interns. Requirements:
PhD or MSc in Computer Science, Electrical Engineering, or related field. Strong background in Computer Architecture and/or Communication Systems is a must. Proven track record of publishing research papers in networking systems, distributed systems, high-performance computing, and computer architecture in top-tier conferences or journals. Creativity and the ability to think outside the box to develop innovative technologies and solutions. Research experience and/or strong knowledge in several of the following areas: Cache sub-system, memory sub-system, and cache coherent protocols Bus standards such as PCIe; CPU-Device connections Network architecture and networking systems in datacenter servers Network interface design, Smart NIC High-performance computing system architecture Hardware-software co-design Knowledge of NN and LMM is a plus
Link:https://careers.huaweirc.ch/jobs/4613282-researcher-senior-researcher-networking-systemsSee More >>
Chief Research Scientist - CPU Microarchitecture
Huawei Research Center Zurich We are seeking a highly skilled Senior Research Leader in CPU Microarchitecture to head our CPU research team. This role involves strategic leadership and deep technical expertise... to drive the development of next-generation CPU architectures. The successful candidate will oversee projects from conceptualization to implementation, including design, simulation, and optimization phases. This position requires a visionary leader with a robust track record in microarchitecture design and a passion for advancing computing technologies.
Responsibilities
Lead the research and development of innovative CPU microarchitecture designs on the core area to enhance performance, power efficiency, and cost-effectiveness. Develop and execute strategic research agendas to keep Huawei at the forefront of the semiconductor industry. Mentor and manage a team of microarchitecture researchers and engineers, fostering a culture of innovation and technical excellence. Collaborate with cross-functional teams, including software, algorithm, and product development, to ensure cohesive and practical CPU design implementations. Maintain up-to-date knowledge of industry trends, competitor products, and emerging technologies in CPU and semiconductor technologies. Publish findings, patent innovations, and represent the company at industry conferences, contributing to the broader academic and professional communities. Drive the analysis of performance bottlenecks, propose architectural improvements, and lead efforts to implement these changes in product designs. Requirements
PhD in Computer Engineering, Electrical Engineering, or a related field, with a focus on computer architecture. 15+ years of experience in CPU microarchitecture, including significant experience in a leadership role. Demonstrated track record of successful CPU design and implementation projects. Experienced background of modeling / performance evaluation, well understand the modeling issues.
Huawei Research Center Zurich We are seeking a Senior Research Leader in AI Computing Architecture to spearhead our initiatives in optimizing and innovating computing frameworks that facilitate powerful AI ope... rations. This role involves leading a team of experts in designing next-generation computing architectures, with a particular focus on scalability, efficiency, and advanced AI capabilities. The ideal candidate will bring a strong leadership background, technical expertise, and a strategic outlook to our dynamic team.
Responsibilities:
Lead research and development projects aimed at creating state-of-the-art computing architectures for AI applications. Define and direct the research agenda to align with strategic business goals and technological advancements. Manage and mentor a team of researchers and engineers, fostering an environment of creativity and innovation. Collaborate with other senior leaders across the company to integrate AI computing architecture initiatives with broader company objectives. Maintain a deep understanding of industry trends and advancements in AI and computing architecture. Develop partnerships with academic institutions and other research entities to enhance knowledge exchange and technical development. Ensure the technical feasibility and scalability of computing architectures for deployment in various AI scenarios. Represent the company at conferences, seminars, and other events, showcasing our leadership in AI computing architecture. Requirements:
PhD in Computer Science, Electrical Engineering, or a related field with a focus on computing architectures or AI. 10+ years of experience in research and development within the field of computing architecture, including substantial experience in a leadership role. Extensive experience with AI technologies, particularly in the areas of machine learning and deep learning.
Link:https://careers.huaweirc.ch/jobs/4480083-senior-research-leader-ai-computingSee More >>
Chief Research Scientist - LLM & AGI
Huawei Zurich Research Center As a Senior Research Leader in LLM & AGI, you will spearhead our efforts to develop and refine AI technologies that are closer to achieving human-like understanding and reason... ing capabilities. You will lead a team of world-class researchers and collaborate with industry and academic partners to shape the future of AI. Your work will directly impact the strategic direction of our research and development initiatives, driving innovation and ensuring that our projects align with long-term goals.
Responsibilities:
Lead and oversee advanced research projects focusing on the fundamental analysis and development of large language models and the pursuit of artificial general intelligence. Define research agendas, allocate resources, and set timelines to ensure alignment with the company’s strategic objectives. Mentor and guide a team of researchers, fostering an innovative and productive research environment. Establish collaborations with academic, industry, and research institutions to enhance our capabilities and knowledge base. Communicate complex AI concepts and the implications of research findings to top-tier specialist in headquarter and non-specialist stakeholders including executive management. Keep abreast of technological advancements and competitive landscape to ensure that our projects remain at the forefront of AI research. Author and publish scientific papers in top-tier journals and represent the company at international conferences. Secure funding and resources for new research initiatives through grants, partnerships, and other channels. Requirements:
PhD in Artificial Intelligence, Computer Science, Cognitive Science, or a related field. 10+ years of research experience in AI, with substantial expertise in large language models and artificial general intelligence. Proven track record of managing and leading research teams and projects. Extensive publication record in high-impact journals and conferences.
Huawei Zurich Research Center With 28 sites across Europe and 2000 researchers, Huawei’s European Research Institute (ERI) oversees fundamental and applied technology research, academic research cooperation pr... ojects, and strategic technical planning across our network of European R&D facilities.
ERI is looking for a Research Analyst in Future Computing, the successful candidate will join Huawei’s Institute of Strategic Research - European team and will be based in Zurich Research Center.
Your main responsibilities:
From a technical point of view, exploit and conduct insight activities of new technologies. Including but not limited to the future computing architectures, including Optical computing, Near/In memory computing, Domain-specific architecture, Interpretable geometric manifolds, Knowledge computing, and Autonomous systems. Analyze the potential value, technical breakthrough and technical difficulties of new technologies related to future computing architecture and provide valuable comments. Make in-depth technology and industry analysis reports, providing an overview reference for the strategic decision-making. Involve in tracking the latest technology achievements in the related fields through international conferences, publications and business exhibitions, etc. Organize seminars and workshops in related fields and maintain regular technical exchanges with academic and business partners.
Requirements:
Education background in computer science or related disciplines. Ph.D. degree is required. Work experience in both academic and industrial institutions is preferred. Keen insight and analytical ability of future computing. Fluent speaking & writing in English. Strong capabilities of teamwork and self-learning.
Laboratory Director - Future Computing Network Systems
Huawei Zurich Research Center A major element of ZRC is a new research laboratory focused on research in the area of computing systems (new computing and storage hardware, new software, new algorithms). ... >Responsibilities (Future Computing Network Systems - Research Leader)
Conduct research on network topology, designing network topology for AI LLM (artificial intelligence large language model) training/inference, cloud computation, high performance computation and so on. Take a leading role in the team and work with internal research colleagues and academic research partners to achieve new breakthroughs in future computing network system research and be responsible for critical prototype design and development. Produce and present research papers at internationally leading conferences and white papers on current developments and future directions on network topology, network theoretical research， networking systems design for AI computation. Develop academic research partnerships and cooperation with leading universities and professors in the area. Where appropriate, contribute insight and research expertise to committees and other organizations that are looking to establish new industry standards and platforms. Contribute to the research and academic community through service such as conference program committee membership, membership of journal editorial boards etc. Requirements
PhD in an area related to networking systems, computer architecture or theoretical computer and more than 15 years’ experience on network topology design/research in related large companies or in academia. Record of publishing research papers in the area of AI training systems or high performance computation, especially focus on network topology design. Candidates should have research experience in computer architecture, and be familiar with at least three of the following areas: Network topology and networking system design. High performance computation system architecture design AI LLM training system design.
Advanced Micro Devices (AMD) Join our industry-leading research team!
We have several full-time opportunities across a range of topics and experience levels. Talk to me (Yasuko) and any of the AMDers ... to find out why we are excited about what we do and what makes AMD Research unique. Diversity, equity, and inclusion are especially important for us. We welcome and encourage candidates with diverse backgrounds.
Locations: Various US locations.
Primarily looking for PhDs or equivalent experience.
Work Authorization: Let's talk. Export clearance might need to be obtained for some positions.
To apply: send a copy of your resume/CV to yasuko.eckert@amd.com. Come introduce yourself at the conference as well!
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Performance Modeling Engineer
Tenstorrent You will be part of a dynamic AI architecture team in India that spearheads architectural innovation to challenge and advance the industry norms for AI processors, SoCs, and syste... ms at scale. We are seeking engineers for prototyping ideas, analyze performance, energy and cost trade-offs across hardware/software options. You should have a firm grasp of deep learning workloads, especially the large generative LLM/Diffusion models.
This role is on-site, based out of Bangaluru, India.
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Fall 2024 ML Internship @ AMD
AMD We have internship opportunities for Fall 2024 on my team at AMD. Come see or message me (Steve Reinhardt) or Deval Shah on Whova if you are interested! We are both around from no... w until the end of the conference. Full job description below: -----------------
As part of the AI Models & Applications Performance & Optimization team, you'll be working hands-on with the latest and most advanced generative AI models and AMD hardware to analyze their performance, propose & implement optimizations, and explore innovating beyond the state of the art.
You'll have the opportunity to:
- Get a holistic view of AI model implementation across the model/software/hardware stack - Get exposure to both the newest innovations from the AI community and the inner workings of AMD's AI accelerators and associated software stacks - Gain direct experience with frameworks like PyTorch and Jax, languages like Triton and HIP C++, and AMD's ROCm libraries and tools - See your work contributed back to the open-source community - Interact with the engineers developing AMD's hardware and software and potentially impact AMD's roadmap
KEY QUALIFICATIONS:
- PhD student in Computer Science or Computer Engineering (any stage) - Experience with AI models and PyTorch - Understanding of and interest in hardware and systems architecture - Self-driven - Enjoys hands-on development and making things work in a cutting-edge environment
WHAT WOULD SET YOU APART:
- Experience with generative AI models (particularly multimodal LLMs) - Research experience/interest in hardware-aware AI model design and software/hardware codesign
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CPU Architecture and Performance Architect
Google Plan and evaluate ARM’s architecture features from both architecture and performance angles. Develop a performance model for performance analysis and microarchitecture study.... r>Define and write CPU subsystem architecture specifications. Lead collaboration with RTL, Design Verification, and Physical Design teams to develop a high performance and efficient CPU implementation. Drive performance correlation between the performance model and RTL implementation, including micro-benchmark development and pre-silicon and post-silicon performance bug triage.
Link:https://www.google.com/about/careers/applications/jobs/results/92000157714784966-cpu-architecture-and-performance-architectSee More >>
Sandia National Laboratories Join Sandia National Laboratories’ Scalable Computer Architectures R&D team, recognized for pioneering hardware analysis and codesign in the United States. We seek a hard-work... ing postdoctoral appointee researcher to innovate in computing hardware, enhancing performance, cost-efficiency, power consumption, and reliability across diverse applications. Every day in our team is different because of rapid technological change in the industry. We work at the leading edge of hardware design to provide future directions for Sandia's computing users. The successful candidate will help define future computing paradigms for Sandia’s mission-critical operations.
Research Software Engineer - Datacenter Power and Energy Efficiency
Microsoft, Azure Research Please see full description in provided link.
As a Research Software Engineer, you will work with other engineers and researchers to create innovative research prototypes; ... help transform project guidelines into concrete system architectures and implementations; build large-scale production systems; and, as you become more senior, mentor new team members in support of their career goals. You will also have the opportunity to propose, work on, and publish cutting-edge research in computer systems. You will work with some of the most pressing challenges in improving the efficiency and sustainability of the infrastructure powering the current AI revolution.
Link:https://jobs.careers.microsoft.com/global/en/job/1714194/Research-Software-Engineer-II---Azure-Research-–-Systems%2C-Cloud-Systems-Power-EfficiencySee More >>
Senior Researcher - Datacenter Power and Energy Efficiency
Microsoft, Azure Research Full job description in provided link.
We are looking for a highly skilled Senior Researcher to work on improving the power and energy efficiency of current and future data... centers, using any of algorithmic, systems, architecture, or control techniques. Challenges include, for example, how to maximize the efficiency with which we use our allocated power while being resilient to fluctuations in workload demand and power grid supply; or how to control the total power draw of an entire datacenter through mechanisms at different levels of the stack, while minimizing the impact to workloads.
Link:https://jobs.careers.microsoft.com/global/en/job/1716170/Senior-Researcher---Azure-Research-–-Systems%2c-Cloud-Systems-Power-EfficiencySee More >>
Senior Researcher - GPU Efficiency
Microsoft, Azure Research We are looking for a highly skilled Senior Researcher to work on improving the power and energy efficiency of current and future AI infrastructure stack, including the large fleet... of Graphics Processing Units (GPUs), through a combination of algorithmic, systems, and architecture techniques. You will work with some of the most pressing challenges in improving the efficiency and sustainability of the infrastructure powering the current AI revolution.
Link:https://jobs.careers.microsoft.com/global/en/job/1720406/Senior-Researcher---Azure-Research-–-Systems%2c-AI-Infrastructure-Power-EfficiencySee More >>
Senior Principal Architect - Big Data Platform
Huawei Canadian Research Institute The Big Data team is seeking technical breakthroughs and innovations from the full-stack standpoint, including: (1) Software-hardware co-design and implement (2) Optimize data ... reading and writing efficiency and performance from the data storage layer. (3) On the runtime layer, optimize the operator performance, memory format, index, and cache, etc.
Link:
None
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Senior Software Developer - Big Data
Huawei Canadian Research Institute The Big Data team is seeking technical breakthroughs and innovations from the full-stack standpoint, including: (1) Software-hardware co-design and implement (2) Optimize data ... reading and writing efficiency and performance from the data storage layer. (3) On the runtime layer, optimize the operator performance, memory format, index, and cache, etc.
Link:
None
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Principal Researcher - Al Storage
Huawei Canadian Research Institute The Toronto Emerging Storage Lab is a research group devoted to exploring next-generation technology and innovations in the storage domain. We are a team based in the Toronto Rese... arch Centre of Huawei Canada and consist mostly of graduate computer engineers and computer scientists with between 0 and 20+ years of industry experience. TESL researches storage related topics like new media, storage devices, computational storage, persistent memory, file-systems, networks for storage, data structures and much more.
Link:
None
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Senior Principal Researcher - Emerging Storage
Huawei Canadian Research Institute The Toronto Emerging Storage Lab is a research group devoted to exploring next-generation technology and innovations in the storage domain. We are a team based in the Toronto Rese... arch Centre of Huawei Canada and consist mostly of graduate computer engineers and computer scientists with between 0 and 20+ years of industry experience. TESL researches storage related topics like new media, storage devices, computational storage, persistent memory, file-systems, networks for storage, data structures and much more.
Link:
None
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Technical Planning Engineer - Emerging Data Storage
Huawei Canadian Research Institute The Toronto Emerging Storage Lab is a research group devoted to exploring next-generation technology and innovations in the storage domain. We are a team based in the Toronto Rese... arch Centre of Huawei Canada and consist mostly of graduate computer engineers and computer scientists with between 0 and 20+ years of industry experience. TESL researches storage related topics like new media, storage devices, computational storage, persistent memory, file-systems, networks for storage, data structures and much more.
Link:
None
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Principal Scientist - Software/Hardware Co-design
Huawei Canadian Research Institute The Al team‘s mission is fully utilize the computing power of Huawei’s Ascend Al processor through algorithm innovation, provide the best training efficiency for customers in vari... ous industries, and build long-term competitiveness for the Ascend computing industry. The Toronto Al algorithm team aims to cooperate with Huawei‘s global research institutes and universities to solve technical challenges in customer needs, guide the future direction of the Ascend computing industry, and make intelligence pervasive in the world.
Link:
None
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Researcher - Accelerated Neural Technology
Huawei Canadian Research Institute The Al team‘s mission is fully utilize the computing power of Huawei’s Ascend Al processor through algorithm innovation, provide the best training efficiency for customers in vari... ous industries, and build long-term competitiveness for the Ascend computing industry. The Toronto Al algorithm team aims to cooperate with Huawei‘s global research institutes and universities to solve technical challenges in customer needs, guide the future direction of the Ascend computing industry, and make intelligence pervasive in the world.
Link:
None
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Huawei Canadian Research Institute The GPU team is seeking all levels of GPU rendering engineers and researchers to join us working on our next generation GPU architect. Our team provides cutting edge GPU rendering... solutions to support applications in Gaming, Cloud Rendering, VR/AR, and Metaverse.
Link:
None
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