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[What the role is]
The Centre for Climate Research Singapore (CCRS) is a division of the Meteorological Service Singapore (MSS). At CCRS, our mission is to advance scientific understanding of tropical climate variability and change and its associated weather systems affecting Singapore and the wider Southeast Asia region, so that the knowledge and expertise can benefit decision makers and the community. Our vision is to be a world leading centre in tropical climate and weather research focussing on the Southeast Asia region.
Within CCRS, the High Performance Computing (HPC) Branch is responsible for the technical development, optimization, implementation and management of CCRS’s software systems running on in-house ‘Utama’ and Singapore National Supercomputing Centre (NSCC) HPC systems. CCRS’s core ‘SINGV’ weather/climate modelling system is a regional, tropical configuration of the Unified Model (UM), used in both weather (Numerical Weather Prediction – NWP) and climate change (regional climate projections) applications. CCRS is also enhancing its rainfall nowcasting capabilities (predicting heavy rainfall in Singapore over the next 30-60 minutes) using machine learning techniques in collaboration with local and international partners.
This position will further enhance CCRS’s software engineering capabilities, focussing on the technical development, optimization, implementation and monitoring of CCRS’s operational rainfall nowcasting and NWP systems.
[What you will be working on]
[What we are looking for]
The job might be for you if you possess the following:
Applicants will be updated on the status of their applications within 4 weeks of the closing date of this job posting.
Official account of Jobstore.
Official account of Jobstore.
Interested applicants are invited to apply directly at the NUS Career Portal.
Your application will be processed only if you apply via NUS Career Portal.
We regret that only shortlisted candidates will be notified.
The Heat Resilience & Performance Centre (HRPC) is a first-of-its-kind research centre, established at the National University of Singapore (NUS), to spearhead and conduct research and development to address the challenges arising from climate change & extreme heat.
We are seeking a Research Assistant who will play a key role in assisting in the development, execution and analysis of research aimed at addressing the challenges of training and operating in rising ambient temperatures. Background and experience in the management and analysis of large data sets would be advantageous as the centre has a strong data focus. The successful candidate will be part of a multi-disciplinary group comprising exercise and thermal physiologists, data scientists, biomedical engineers and researchers. This role will provide you with a unique opportunity to not only develop your expertise in research planning and execution, but also to be a part of the team looking to generate fundamental and forward-looking solutions to working in the heat.
The main areas of responsibilities of the role will include:
• Working with research PIs and teams to develop new research ideas
• Performing literature searches, assimilating, and summarizing key information, as well as identifying knowledge gaps
• Designing and conducting relevant studies and surveys (qualitative and quantitative, including lab and outfield studies)
• Establishing and managing large databases
• Interpreting and analysis of data
• Generating reports and present data to relevant stakeholders
• Contributing to conference presentations and write papers for submission to peer reviewed journals
• Collaborating across teams, contributing to multiple research projects at once
• Bachelors degree in Exercise Science, Physiology, Data Science, or equivalent
(Candidates with strong data science and analytics background and keen to delve into heat health research are strongly encouraged to apply as well)
• Experience with statistics, data analysis and visualisation software (e.g. Power BI, SPSS)
• Proficient in computer applications (e.g. Excel, Word, Powerpoint and databases) and online meeting tools.
• Keen interest in heat health and human performance
• Proficient in qualitative research
• Proficient in data analysis tools in quantitative research
• Two or more years of research experience would be an advantage
• Proven knowledge of data collection methods
• Good written and verbal communication skills
• Good presentation skills and ability to write research reports for publication in reputable journals
• Resourceful and self-driven
• Adaptable and able to multitask well with clear follow-through
• High levels of attention to detail and quality
• Willingness to travel off-site and outside routine hours for data collection and undertake further training in relevant data collection procedures
• Demonstrated ability to work independently and thrive in a fast-paced environment
• Commitment to the ongoing development of a positive organizational culture
• Willingness to contribute to a learning environment
The role is based in Singapore.
Remuneration will be commensurate with the candidate’s qualifications and experience.
Official account of Jobstore.
Interested applicants are invited to apply directly at the NUS Career Portal.
Your application will be processed only if you apply via NUS Career Portal.
We regret that only shortlisted candidates will be notified.
The Heat Resilience & Performance Centre (HRPC) is a first-of-its-kind research centre, established at the National University of Singapore (NUS), to spearhead and conduct research and development to address the challenges arising from climate change & extreme heat.
We are seeking a Research Associate who will play a key role in assisting in the development, execution and analysis of research aimed at addressing the challenges of training and operating in rising ambient temperatures. Background and experience in the management and analysis of large data sets would be advantageous as the centre has a strong data focus. The successful candidate will be part of a multi-disciplinary group comprising exercise and thermal physiologists, data scientists, biomedical engineers and researchers. This role will provide you with a unique opportunity to not only develop your expertise in research planning and execution, but also to be a part of the team looking to generate fundamental and forward-looking solutions to working in the heat.
The main areas of responsibilities of the role will include:
• Working with research PIs and teams to develop new research ideas
• Performing literature searches, assimilating, and summarizing key information, as well as identifying knowledge gaps
• Designing and conducting relevant studies and surveys (qualitative and quantitative, including lab and outfield studies)
• Establishing and managing large databases
• Interpreting and analysis of data
• Generating reports and present data to relevant stakeholders
• Contributing to conference presentations and write papers for submission to peer reviewed journals
• Collaborating across teams, contributing to multiple research projects at once
• Masters degree in Exercise Science, Physiology, Data Science, or equivalent
(Candidates with strong data science and analytics background and keen to delve into heat health research are strongly encouraged to apply as well)
• Experience with statistics, data analysis and visualisation software (e.g. Power BI, SPSS)
• Proficient in computer applications (e.g. Excel, Word, Powerpoint and databases) and online meeting tools.
• Keen interest in heat health and human performance
• Proficient in qualitative research
• Proficient in data analysis tools in quantitative research
• Two or more years of research experience would be an advantage
• Proven knowledge of data collection methods
• Good written and verbal communication skills
• Good presentation skills and ability to write research reports for publication in reputable journals
• Resourceful and self-driven
• Adaptable and able to multitask well with clear follow-through
• High levels of attention to detail and quality
• Willingness to travel off-site and outside routine hours for data collection and undertake further training in relevant data collection procedures
• Demonstrated ability to work independently and thrive in a fast-paced environment
• Commitment to the ongoing development of a positive organizational culture
• Willingness to contribute to a learning environment
Official account of Jobstore.
Interested applicants are invited to apply directly at the NUS Career Portal.
Your application will be processed only if you apply via NUS Career Portal.
We regret that only shortlisted candidates will be notified.
The Heat Resilience & Performance Centre (HRPC) is a first-of-its-kind research centre, established at the National University of Singapore (NUS), to spearhead and conduct research and development to address the challenges arising from climate change & extreme heat.
We are seeking a Research Fellow who will play a key role in driving the development, execution and analysis of research aimed at addressing the challenges of training and operating in rising ambient temperatures. With data being one of the centre’s key enablers, experience in the design, management, and analysis of large data sets in a similar or related field would be advantageous. The successful candidate will be part of a multi-disciplinary group comprising exercise and thermal physiologists, data scientists, biomedical engineers, and researchers. This role will provide you with a unique opportunity to be a part of the team looking to generate fundamental and forward-looking solutions to working in the heat.
• Working closely with research PIs to develop new research ideas and ensure the successful and timely completion of the project(s)
• Designing research protocols based on the research agenda, drawing upon previous literature and research best practices (qualitative and quantitative, including lab and outfield studies)
• Leading and training the research team(s)
• Project management and execution of required data collection and research plans
• Establishing and the management of large databases
• Interpretating and analysis of data
• Generating reports and presentation of data to relevant stakeholders
• Generating conference presentations and papers for submission to peer reviewed journals
• Collaborating across teams, contributing to multiple research projects at once
• Communicating with stakeholders to understand business challenges and potential solutions
• Doctorate degree in Exercise Science, Physiology, Data Science, or equivalent
(Candidates with strong data science and analytics background and keen to delve into heat health research are strongly encouraged to apply as well)
• Proficient in statistics, data analysis and visualization software (e.g. Power BI, SPSS)
• Proficient in computer applications (e.g. Excel, Word, PowerPoint and databases) and online meeting tools.
• Keen interest in heat health and human performance
• Proficient in qualitative research
• Proficient in data analysis tools in quantitative research
• Strong background with extensive experience leading research projects would be an advantage
• Proven knowledge of data collection methods
• Excellent written and verbal communication skills
• Good track record of international publications in human research
• Proficient in project management
• Resourceful and self-driven
• Adaptable and able to multitask well with clear follow-through
• High levels of attention to detail and quality
• Willingness to travel off-site and work beyond routine work hours based on the requirements of the research
• Demonstrated ability to work independently and thrive in a fast-paced environment
• Commitment to the ongoing development of a positive organizational culture
• Willingness to contribute to a learning environment
The role is based in Singapore. Remuneration will be commensurate with the candidate’s qualifications and experience.
Official account of Jobstore.
Interested applicants are invited to apply directly at the NUS Career Portal.
Your application will be processed only if you apply via NUS Career Portal.
We regret that only shortlisted candidates will be notified.
About Khudiyev Research Group at MSE NUS:
Khudiyev Research Group at the Department of Materials Science and Engineering (MSE) in the National University of Singapore (NUS) is dedicated to advancing research in flexible electronics. Our group aims to contribute meaningfully to the field, focusing on advancements in materials, devices, and fabrication techniques. With a commitment to innovation and collaboration, we aim to address pressing challenges and explore new opportunities in this dynamic area of research. From flexible sensors to actuators, wearable health monitoring to smart textiles, we are committed to creating innovative solutions with practical applications.
Position Overview:
We are seeking a highly motivated Postdoctoral Researcher with expertise in analog electronics to join our dynamic team. The successful candidate will play a pivotal role in the design, development, and optimization of analog electronic circuits for novel flexible electronic devices, with a specific focus on flexible sensors and actuators integration.
Key Responsibilities:
• Design, develop, and optimize analog electronic circuits for integration into novel flexible electronic devices.
• Conduct experimental testing and characterization of analog circuits to ensure performance and reliability in flexible sensor and actuator applications.
• Collaborate with interdisciplinary team members to incorporate analog electronics into overall device design and fabrication processes.
• Stay updated on advancements in flexible electronics and propose innovative solutions to enhance device performance and functionality.
• Document experimental procedures, results, and findings in technical reports and research publications.
• Mentor graduate and undergraduate students involved in flexible electronics research projects.
• Participate in grant proposal writing and securing funding for ongoing and future research initiatives.
• Present research findings at conferences, seminars, and workshops to disseminate knowledge and foster collaborations within the scientific community.
• Contribute to the intellectual and scientific environment of the Khudiyev Research Group through active participation in group meetings, discussions, and brainstorming sessions.
Requirements:
• A Ph.D. degree in Electrical Engineering, Materials Science, or a related field.
• Strong expertise in analog electronics circuit design, including amplifier circuits, filters, and signal conditioning circuits.
• Proven experience in simulation tools such as SPICE (e.g., LTSpice, Cadence) for analog circuit design and analysis.
• Familiarity with flexible electronics fabrication techniques and materials is highly desirable.
• Demonstrated track record of high-quality research as evidenced by publications in reputable journals.
• Excellent communication skills and ability to work effectively in a collaborative research environment.
• Additional expertise in related areas such as wireless electronics design, low-power design, or sensor and actuator interfaces would be advantageous.
Application Procedure:
Interested candidates should submit a detailed CV, a cover letter outlining their research experience and interests, and recommendation letters from 4 referees (including 1 from candidate’s main PhD supervisor)
Deadline for Application:
Applications will be reviewed on a rolling basis until the position is filled. Early application is encouraged.
Official account of Jobstore.
Interested applicants are invited to apply directly at the NUS Career Portal.
Your application will be processed only if you apply via NUS Career Portal.
We regret that only shortlisted candidates will be notified.
The National University of Singapore invites applications for Research Associate in Health Services and Data Science (Project: Development of Natural Language Processing and Item response Theory based systems for Patient Reported Outcome Measurement) in the Centre for Research in Health Systems Performance, Yong Loo Lin School of Medicine.
Optimizing the performance of health systems is essential to ensuring the wellbeing and longevity of populations worldwide. Singapore is particularly well placed to lead research in this field as its health system has been consistently ranked as one of the best in the world based in independent evaluation with the Global Burden of Disease data. The new Centre for Research in Health Systems Performance (CRiHSP) aims to advance research in this area within the Yon Loo Lin School of Medicine of the National University of Singapore (NUS) as the leading centre for research in health systems in Asia. CRiHSP will be composed of a multidisciplinary team of researchers in health systems (health services and policy researchers, data scientists, social scientists, and others), and administrators. It will provide an exciting and dynamic place in which people of diverse backgrounds collaborate towards the common goal of achieving excellence in Health Systems Research.
CRiHSP is collaborating with the Department of Family Medicine (DFM) at NUHS, which was established in 2017 with the aim of supporting the Division of Family Medicine within the Yon Loo Lin School of Medicine of the National University of Singapore (NUS). DFM’s multidisciplinary team of clinicians, researcher, medical educators, and administrators works towards the common goals of achieving achieve excellence in Family Medicine education, research and practice. CRiHSP and DFM also benefit from a significant expansion in related fields and collaborations with the new Centre for Sustainable Medicine (CoSM) and the Centre for Behavioural and Implementation Sciences Interventions (BISI) at the School of Medicine and the Saw See Hock School of Public Health.
NUS offers highly competitive remuneration packages. The successful applicant will be offered an annual salary plus benefits commensurate with his or her qualifications, experience and expertise and will have access to travel support to disseminate research outcomes at international academic conferences.
The position is full-time for 1 year in the first instance, depending on project commitments and candidate’s career objectives. Start date is flexible, with the position expected to commence in the first half of 2024.
CRiHSP is hiring a highly motivated and skilled Research Associate to contribute to a research project employing mixed-methods for the development of methods for measuring patient reported outcome measures in the population of Singapore based on the efficient application of Natural Language Processing and Item Response Theory to existing measurement systems working under the project Principal Investigator (PI), CRiHSP Director, Prof Jose M Valderas. The successful candidate will report the Senior Research Fellow responsible for the project. The role provides a rare opportunity to work at the centre of this rapidly evolving field, shaping the future of healthcare and clinical practice.
The Research Associate will have the following duties:
The post holder will be expected to be flexible in their role as the CRiHSP´s capacity evolves.
Applicants will be evaluated based on the following selection criteria:
Qualifications
Experience
Skills and Personal Attributes:
Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Prof Jose M Valderas at jmvalderas@nus.edu.sg.
Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees) as well as a cover letter outlining their motivation and suitability for the project addressing each of the criteria outlined above.
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You will be joining the world’s leading data and insights provider for the alternative assets market. We empower the global financial community with critical information and leading analytics solutions to help them make faster and smarter investment decisions, and to make them with confidence. A forward-thinking company, we lead our industry through innovation. We trust in the power of data, and we use it to increase transparency in alternatives. We believe that access to information leads to more investment in the ideas and infrastructure that build strong communities.
Job Overview:
The Research Associate will be involved in primary research and responsible for reaching out to fund managers based in the Asia Pacific region to build relationships and obtain valuable proprietary information. This information consists of investment activities and preferences, fundraising and performance. This is a unique research role, requiring a sales-like mindset to unlock research relationships across the region. The role will also include handling data inquiries, quality assurance, data monitoring for consistency and client engagement regarding our Preqin Pro platform. The role will be based in Singapore.
In this role you will be:
You are a good fit if:
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We are now looking for a Senior Performance Engineer focused on Deep Learning (DL) & High Performance Computing (HPC) to join our team. Our team is responsible for generating benchmark data across a rapidly growing catalog of Deep Learning & HPC applications on Nvidia and as well as competitive products. The data that we collect drives marketing and sales collateral as well as engineering studies for current and future products. In some instances, we write scripts that improve the team’s ability to collect data through automation and designing efficient processes for testing a wide variety of applications and hardware. You will have the opportunity to work with multi-functional teams and in a dynamic environment where multiple projects will be active at once and priorities may shift frequently. As a senior engineer, you will lead and guide the team through some of these projects.
NVIDIA builds the most advanced data center GPUs in world that are utilized in a growing number of computing areas ranging from life sciences to deep learning to quantum chemistry. NVIDIA strives to deliver the best possible performance, which allows researchers and scientists to do more world-changing work than ever before. Today, we are increasingly known as “the AI computing company.” We are looking to grow our company and build our teams with the smartest people in the world. Join us at the forefront of technological advancement.
What you’ll be doing:
Plan and execute GPU performance benchmarking across a wide range of HPC and DL frameworks and applications across on-prem, cluster, and cloud server platforms.
Aggregate, analyze, and generate written and visual reports with the testing data for internal sales, marketing, SW, and HW teams
Develop Python scripts to automate the benchmarking of test applications
Perform competitive analysis of GPU and CPU products
Work with internal engineering team to triage performance issues
Assist with the development of tools and processes that improve our ability to perform automated testing
Lead team in exploring and integrating new testing functions. eg LLMs, GenAI
Guide and mentor junior engineers
What we need to see:
Bachelor of Science degree in Engineering or Computer Science or equivalent experience.
8+ years of experience
Excellent programming and debugging skills in a scripting language such as Python or Unix shell
Advanced knowledge using Linux based systems
Proficiency in compiling software from source code, including debugging errors encountered
Knowledge of deep learning neural networks; how they work and familiarity with various DL frameworks
Experience using GPU-enabled HPC applications such as LAMMPS, GROMACS, Amber, RTM, etc…
Excellent English verbal and written interpersonal skills
Excellent data analysis skills and the ability to summarize findings in a written report
Familiarity using a container platform such as Docker or Singularity
Ways to stand out from the crowd:
Experience with GPU/CPU benchmarking on cloud solutions from AWS, GCP, Azure
GPU programming experience in CUDA, OpenACC, or OpenCL
Familiarity with software compilers such as GNU, Intel Composer, or PGI
Previous experience with benchmarking computer clusters
We have some of the most forward thinking and hardworking people in the world working for us and our best-in-class engineering teams are rapidly growing. We are building a team that will help shape the future of data center computing. If you are passionate about new technologies, care about improving efficiency and quality, and want to be at the forefront of AI & HPC, we would love for you to join us.
The base salary range is 164,000 USD - 310,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
Official account of Jobstore.
We are now looking for a Senior Deep Learning Performance Engineer!
NVIDIA is seeking highly skilled and dedicated engineers who are passionate about optimizing AI workloads, particularly Generative AI and Large Language Model (LLM) training. This role requires working across all levels of the hardware and software stack, including GPU architecture, compilers, kernels, and Deep Learning frameworks such as JAX and PyTorch. You'll have the opportunity to work on cutting-edge technology that will accelerate training performance for deep learning users all over the world. Are you ready to take on challenging problems and collaborate with innovative teams to engineer systems for high-performance Deep Learning? This could be the role for you!
What You Will Be Doing:
Understand, analyze, profile, and optimize large language model training on state-of-the-art hardware and software platforms.
Understand the big picture of LLM training performance on GPUs, prioritizing and then solving problems across all state-of-the-art LLM variations from research to industry.
Implement production-quality software in multiple layers of NVIDIA's deep learning platform stack, from drivers to DL frameworks.
Implement and simulate key LLM workload behaviors in NVIDIA's proprietary processor and system simulators to enable future architecture studies.
Build tools to automate workload analysis, workload optimization, and other critical workflows.
What We Need To See:
PhD (or equivalent experience) in CS, EE or CSEE and 5+ years; or MS and 8+ years of relevant work experience.
Strong background in deep learning and neural networks, in particular training and large language models.
Deep understanding of computer architecture, and familiarity with the fundamentals of GPU architecture.
Expertise in analyzing and tuning application performance, preferably on GPUs.
Familiarity with common deep learning software packages like PyTorch and JAX.
Prior experience with processor and system-level performance modelling.
Programming skills in C++, Python, and CUDA.
Intelligent machines powered by AI computers that can learn, reason and interact with people are no longer science fiction. Today, a self-driving car powered by artificial intelligence can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error. This is truly an extraordinary time. The era of AI has begun, and we are powering it. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. Are you passionate about performance? Are you interested in working on industry-leading Deep Learning products? Come, join our Deep Learning Architecture team and help build real-time, cost-effective computing platforms driving our success in this exciting and rapidly growing field.
The base salary range is 180,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
Official account of Jobstore.
We are now seeking a Senior Deep Learning Performance Architect!
NVIDIA is looking for outstanding Performance Analysis Architects with a background in performance modeling, deep learning, architecture simulation, profiling, and analysis to help analyze and develop the next generation of architectures that accelerate AI and high-performance computing applications.
What you’ll be doing:
Develop innovative architectures to extend the state of the art in deep learning performance and efficiency
Analyze performance, cost and power trade-offs by developing analytical models, simulators and test suites
Understand and analyze the interplay of hardware and software architectures on future algorithms, programming models and applications
Develop, analyze, and harness groundbreaking Deep Learning frameworks, libraries, and compilers
Actively collaborate with software, product and research teams to guide the direction of deep learning HW and SW
What we need to see:
MS or PhD in Computer Science, Computer Engineering, Electrical Engineering or equivalent experience
6+ years of meaningful work experience
Strong background in GPU or Deep Learning ASIC architecture for training and/or inference
Experience with performance modeling, architecture simulation, profiling, and analysis
Solid foundation in machine learning and deep learning
Strong programming skills in Python, C, C++
Ways to stand out from the crowd:
Background with deep neural network training, inference and optimization in leading frameworks (e.g. Pytorch, JAX, Tensorflow, TensorRT)
Experience with relevant libraries, compilers, and languages - CUDNN, CUBLAS, CUTLASS, MLIR, Triton, CUDA, OpenCL
Experience with the architecture of or workload analysis on other DL accelerators
Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer science fiction. GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems. NVIDIA's GPUs run AI algorithms, simulating human intelligence, and act as the brains of computers, robots and self-driving cars that can perceive and understand the world. Increasingly known as “the AI computing company”, NVIDIA wants you! Come, join our Deep Learning Architecture team, where you can help build real-time, efficient computing platforms driving our success in this exciting and rapidly growing field.
The base salary range is 180,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
Official account of Jobstore.
NVIDIA is seeking extraordinary architects to develop processor and system architectures that accelerate machine learning, data analytics and high-performance computing applications. This position offers the chance to create a meaningful impact in a dynamic, technology-focused company.
What you will be doing:
As a member of our deep learning architecture team, you will craft system and processor architectures to extend the state of the art in deep learning efficiency and performance that are energy efficient.
Prototype key deep learning and data analytics algorithms and applications.
Analyze trade-offs in performance, cost and power developing analytical models, simulators and test suites.
Analyze architecture performance and energy efficiency considering deep learning workloads, modeling and explore efficient architectures.
Collaborate across the company to guide the direction of machine learning, working with software, research and product teams.
What we need to see:
Master's Degree, PhD (or equivalent experience) in Computer Science, Electrical Engineering or Computer Engineering.
6+ years of relevant work or research experience.
A strong foundation in machine learning and deep learning fundamentals to complement your expertise in computer architecture.
A strong background in high performance power efficient designs, energy efficient high performance computing, performance analysis and profiling to identify performance bottlenecks.
Fluency in programming languages such as Python, C, C++.
Experience and familiarity with GPU computing and parallel programming models.
You have firsthand work experience with analytical performance modeling, profiling, and analysis.
The GPU started out as the engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films. Now, NVIDIA’s GPU runs deep learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Just as human imagination and intelligence are linked, computer graphics and artificial intelligence come together in our architecture. Two modes of the human brain, two modes of the GPU. This may explain why NVIDIA GPUs are used broadly for deep learning, and NVIDIA is increasingly known as “the AI computing company.”
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative and seeking new challenges? If so, we want to hear from you! Come, join our DL Architecture team and help build the real-time, cost-effective AI computing platform driving our success in this exciting and quickly growing field.
The base salary range is 180,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
Official account of Jobstore.
We are now looking for a Deep Learning Performance Architect!
NVIDIA is seeking outstanding Performance Analysis Architects with a background in performance modeling, architecture simulation, and profiling to help analyze and develop the next generation of architectures that accelerate AI and high-performance computing applications.
What you’ll be doing:
Develop innovative architectures to extend the state of the art in deep learning performance and efficiency
Prototype key deep learning and data analytics algorithms and applications
Analyze performance, cost and power trade-offs by developing analytical models, simulators and test suites
Understand and analyze the interplay of hardware and software architectures on future algorithms, programming models and applications
Actively collaborate with software, product and research teams to guide the direction of deep learning HW and SW
What we need to see:
A Masters Degree or PhD in Computer Science, Electrical Engineering, Computer Engineering or related relevant field (or equivalent experience)
5+ years of relevant work experience in computer architecture
Strong foundation in machine learning and deep learning
Strong programming skills in Python, C, C++
Experience with performance modeling, architecture simulation, profiling, and analysis
Ways to stand out from the crowd:
Background with GPU Computing and parallel programming models such as CUDA and OpenCL
Experience with deep neural network training, inference and optimization in leading frameworks (e.g. Pytorch, Tensorflow, TensorRT)
Experience with the architecture of or workload analysis on other DL accelerators
Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer science fiction. GPU-accelerated Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems. NVIDIA's GPUs run AI algorithms, simulating human intelligence, and act as the brains of computers, robots and self-driving cars that can perceive and understand the world. Increasingly known as “the AI computing company”, and widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. Are you a creative, motivated deep learning architect with a passion for performance and always up for a challenge? If so, we want to hear from you! Come, join our Deep Learning Architecture team, where you can help build real-time, cost-effective computing platforms driving our success in this exciting and rapidly growing field.
The base salary range is 148,000 USD - 276,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
Official account of Jobstore.
Wolters Kluwer is a global provider of professional information, software solutions, and services for clinicians, nurses, accountants, lawyers, and tax, finance, audit, risk, compliance, and regulatory sectors.
For 180 years, Wolters Kluwer has been innovating the way professionals and businesses work. Our employees are at the cornerstone of bringing our vision to life.
Our pursuit of excellence, coupled with the pride we take in our work, enables our customers to solve their most critical problems.
At Wolters Kluwer, we encourage you to be your unique self, bring your ideas to life, learn, develop, and thrive. We offer you a world of endless opportunities.
Join us and build a brighter future!
Website: https://www.wolterskluwer.com/en-sg/solutions/cch-tagetik
What we offer:
The Apac Regional Trainer works closely with regional leadership to gain a full understanding of the company’s strategic vision, as it affects training demands and key department decisions. This role requires effective communication with our key stakeholders such as Marketing, Sales, Customer Success, Alliances Management and Partner Enablement to ensure all department objectives are successfully executed. As a result, the Academy Regional Trainer works closely and reports directly to the Regional Academy Director and Global Academy.
Responsibilities:
Training operations and improvements:
Manage the scheduling of training classes in Apac areas (e.g., arranging venues, coordinating instructors, ordering training materials, ensuring lab availability)
Partner with:
Ensure consistent global procedures across the department and consistent communication across the organization
Qualifications:
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