Total 79 Performance Researcher job vacancies in Engineering category in The United States of America

Do you have a passion for performance vehicles? Here is an opportunity for one lucky person to start their career as a performance engine builder whilst completing an apprenticeship in Certificate III in Engineering (Mechanical Trade)
Do you have a passion for performance vehicles? Here is an opportunity for one lucky person to start their career as a performance engine builder whilst completing an apprenticeship in Certificate III in Engineering (Mechanical Trade)
Our client, a highly respected family owned & operated business located in Wodonga, Victoria is looking to add an apprentice to their highly skilled team.

The Role
In this exciting role, you have the potential to learn all aspects of the business from Turbo Repairs, Tailshaft Modifications, Automotive Machining, Dyno Test & Tuning, Hi-performance Engine Re-Builds to Heavy Diesel Engine Reconditioning.

The successful candidate will complete a qualification in Certificate
... Click here to view more detail / apply for Performance Engine Builder Apprenticeship

What you get to do in this role:

As a Performance Engineer, you will be a key member of the Product Quality Engineering team driving improvements in performance, scalability and reliability of our products and services. You will work within our agile software development process and will certify products for release readiness for performance, scalability and reliability and will carry out performance benchmarking for our products & services at global scale.

The ideal candidate for this position will have strong background in performance testing & engineering in enterprise software platforms and applications. The candidate should have experience in architecting and driving complex performance testing / engineering projects that measure the characteristics of systems running under dynamic, real-world workloads.

In this role you will create infrastructure, automation, and tools that drive realistic loads against the core services of our platform. You will also enable peers in engineering, customer support, and cloud teams to leverage our tools to provide related services.

 

Job Description

What you get to do in this role:   

We are looking for an experienced performance engineer with a proven track record of creating technologies and tools for validating the performance and scalability of large-scale enterprise systems.  Working with key members of our Platform Performance Engineering team, you will focus on benchmarking & testing our platform to meet the growing needs of our largest customers.

The ideal candidate for this position is a Performance Engineer with a strong background in web & database application benchmarking, test automation, performance analysis, and capacity management. The candidate must have a passion for building and applying tools / automation frameworks that measure the characteristics of complex systems running under dynamic, real-world loads.  You will work in a fast-paced, innovative environment that allows direct influence on the organization and our most important customers.

Qualifications

To be successful in this role you have:

• 4+ years of experience in Performance Engineering / Testing, and/or Tools Development teams for the Enterprise
• 4+ years of experience in testing large scale web-based distributed applications on containers such as Apache/Tomcat, JBoss, Web Logic, and Web Sphere in a Linux production environment running MySQL / PostgreSQL /Oracle
• Hands on experience on benchmarking system performance, database performance analysis, capacity sizing and optimization.
• Excellent communication and customer skills, problem solving, conflict management, time management and interpersonal skills required.
• Strong problem-solving and analytical skills with an aptitude and passion for learning new technologies.
• Hands on experience on 2 of the below areas:
  • Database (MySQL / Oracle / PostgreSQL) performance engineering (Tuning, Scaling, Deployment Architecture, Query Analysis)
  • Advanced JMeter (/other industry standard load testing tools) scripting
  • Java & Java script (JVM tuning, GC, heap, and thread dump analysis)
  • OS (Performance Monitoring, troubleshooting & configuration)
  • System design & Architecture 
• BS/MS Degree in Computer Science with solid experience developing and deploying mission critical software.

 

Must Have

• Micro focus Load Runner,
• Jmeter,
• Dynatrace or APM

Good to Have

• Java
• Selenium
• Apium

Domain Knowledge

• SG Government
• Especially in Healthcare

Roles & Responsibilities

• Work closely with Performance Manager to understand the Performance Testing requirements
• Evaluate application architectures and design performance test plans
• Establish performance test objectives, acceptance criteria, workload profiles and use case scenarios
• Creation and maintenance of performance test plans, utilizing JMeter load testing and Microfocus LoadRunner software to inject load, analysing metrics from application and system logs
• Simulating system behavior to improve the performance and reliability of applications
• Measure and analyze performance data (workload, system and application)
• Solve complex problems and provide clear and concise reports with recommendations
• Work closely with development teams, architects and engineers to test their products under load and make recommendations
• Work as an expert performance engineering resource on multiple initiatives of diverse scope

• Knowledge on HVAC fundamentals (chillers, pumps, cooling towers, air handling units)
• Identify, design, and propose energy conservative measures (ECM) on the chilled water system which includes:

1. Instrumentations selection and design on the measurements and verifications (M&V) system (temperature sensors, flow meters, pressure sensors, weather stations, power meters)
2. Centrifugal water pumps energy optimizations strategy
3. Chillers energy optimizations strategy
4. Cooling tower energy optimizations strategy
5. Heat balance substantiating test

• Operating system efficiency (OSE) report preparation
• Documentation of the chiller system optimization design

Prefer candidates who can commit at least 5 months (July 2024 - December 2024)

NVIDIA is hiring software engineers at all experience levels to build and optimize the tools Deep Learning engineers use across the world to design, develop, and deploy AI applications. This position will embed you in an ambitious and diverse team that influences all areas of NVIDIA's AI platform and directly contributes to premiere Deep Learning frameworks - Tensorflow, PyTorch, and MXNet. In this role you will work with multiple teams at NVIDIA across fields, as well as collaborate with the open-source community to optimize the best AI platform in the world.

What you will be doing:

• Optimize the performance of Deep Learning models for NVIDIA GPUs and systems.

• Study and tune Deep Learning training workloads at large scale.

• Optimize production AI models used by enterprise customers and partners.

• Build and support NVIDIA submissions to community benchmarks like MLPerf.

• Optimize the performance of influential, contemporary models coming out of academic and industry research, for NVIDIA GPUs and systems.

• Deliver the benefits of NVIDIA’s latest hardware and platform software innovations to the Deep Learning community.

• Inform design of new hardware generations, and core platform software components for NVIDIA GPUs and systems.

What we need to see:

• BS or equivalent experience in Computer Science, Electrical Engineering or a related field.

• 2+ years of experience with C++ and Python programming.

• Strong background with parallel programming, preferably on GPUs.

• Knowledge of Computer Architecture and/or Operating Systems.

• Proven experience developing large software projects.

• Excellent verbal and written communication skills.

Ways to stand out from the crowd:

• Experience in PyTorch, Tensorflow or MXNet.

• Background with performance analysis and profiling of workloads.

• Participation in the open source community.

• Proven experience working with multidisciplinary teams.

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and dedicated people in the world working with us and our engineering teams are contributing to some of the hottest state of the art fields: Deep Learning, Artificial Intelligence, and Autonomous Vehicles. If you're a creative and motivated software engineer with a real passion for building fast software solutions, as well as impacting AI development worldwide, we want to hear from you.

The base salary range is 120,000 USD - 230,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

#deeplearning

We are now looking for a Senior LLM Performance Engineer!

NVIDIA is seeking senior engineers who are obsessed with performance analysis and optimization to help us squeeze every last clock cycle out of Large Language Model (LLM) training, one of the most important AI workloads in the world. If you are unafraid to work across all layers of the hardware/software stack, from GPU architecture through compilers and kernels to the Deep Learning Frameworks, to achieve peak performance, we want to hear from you! This role offers the opportunity to directly impact the hardware and software roadmap in a fast-growing technology company that leads the AI revolution while helping deep learning users around the globe enjoy ever-higher training speeds.

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 want 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.

• Proven experience analyzing and tuning application performance, preferably on GPUs.

• Familiarity with common deep learning software packages like PyTorch and JAX.

• Proven 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 increasingly known as the AI Computing company and 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, 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 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.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What you will be doing:

• Lead initiatives to drive efficiency efforts across the organization.

• Define and implement metrics to measure the efficiency of compute and storage services.

• Spearhead program aimed at improving CPU and memory utilization within our compute fleet.

• Develop and maintain tools for collecting, analyzing, and visualizing utilization data.

• Build a fleet-wide aggregated profiling infrastructure for services to enhance performance monitoring and optimization.

What we need to see:

• Bachelor’s degree in Engineering, Computer Science, Mathematics, or related field, or equivalent work experience.

• 12+ years of proven experience in performance engineering with a focus on efficiency and resource optimization.

• Strong analytical skills with the ability to define and track key performance metrics.

• Experience in developing tools for data analysis and performance profiling.

• Proficiency in programming languages such as Go and/or Java.

• Familiarity with performance testing and analysis tools such as JMeter and Linux-based monitoring tools.

Ways to stand out from the crowd:

• Understanding of AI ops and how to leverage LLMs to automate various optimization initiatives

• Ability to work with large datasets and perform complex queries (Python, R, SQL)

• Strong communication skills and the ability to convey insights from quantitative data effectively

• Experience with automated data visualization tools like Power BI or Tableau is preferred

The base salary range is 200,000 USD - 385,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are looking for a Principal Engineer - Performance Analysis!

NVIDIA is currently seeking a Performance analysis Engineer with strong fundamentals  in HW and SW performance aspects for CPU and System level. This role provide and amazing opportunity to get first-hand experience in Nvidia’s CPU product line and influence and impact the roadmap. Nvidia has a team of outstanding people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. We recently announced Grace CPU for HPC and AI workloads https://www.nvidia.com/en-in/data-center/grace-cpu/

Do you want to be part of the team that explores and defines the next generation of CPUs?

What you'll be doing:

• Plan and  execute performance characterization and analysis for leading edge Nvidia CPUs/SoCs and relevant SW workloads

• Detailed performance analysis of SW workloads on various HW solutions from competition

• Through performance analysis, help to understand the current and guide the development of future products

• Definition and development of tool chain and efficient workflows that enables the CPU and System performance analysis

• Partner closely with external vendors and internal teams on HW platforms and SW workload alignment

• Drive continuous improvement of workflows/processes

What we need to see:

• Strong understanding of computer system architecture and operating system fundamentals

• 15+ years of work experience in a relevant domain

• PhD or Master's or Bachelor's degree in EE/CS or related field, or equivalent experience

• Hands-on experience on Silicon and/or Pre Silicon platforms for performance analysis of complex CPUs/SoCs and SW workloads

• Knowledge of industry best practices and tool flows for performance analysis

• Experience with C/C+/Python languages, workflow automation and frameworks

• Strong HW and SW debugging skills on Silicon as well as Pre-Silicon environment

• Good communication skills and ability & desire to work as a great teammate across the global team are a must

Ways to stand out from the crowd:

• Detailed knowledge of the ARM and/or x-86 architecture

• Experience working with EDA tools and optimization

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and talented people in the world working for us and, due to unprecedented growth, our elite engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

NVIDIA is revolutionizing healthcare by leveraging the power of GPU computing and AI to transform data analysis in areas such as drug discovery and DNA sequencing. We are looking for enthusiastic and dedicated individuals to help us bring personalized medicine to mainstream healthcare. As a healthcare HPC engineer, you will join a dynamic development team focused on bioinformatics algorithm development and collaborating with industry and academic partners. You will have the opportunity to define, implement, productize, and deliver high-performance computing software for a wide range of biology applications used worldwide. If you thrive in tackling challenging computational problems in healthcare, this is the perfect opportunity for you!

What You'll be Doing:

• Study and develop innovative techniques in bioinformatics, graph algorithms, machine learning, and perform detailed performance analysis and optimization to ensure optimal performance on current and next-generation GPU architectures.

• Work directly with lighthouse customers to understand their current and future challenges and provide the best HPC solutions.

• Collaborate closely with hardware engineering, CUDA engineering, and AI research groups to apply the latest technology to enable novel genomic analysis at scale.

What We Need to See:

• Bachelor's degree in Computer Science, a related technical field, or equivalent experience.

• 8+ years of experience.

• Solid understanding of C/C++, software design, and programming techniques.

• Experience with the design and implementation of sophisticated algorithms and data structures.

• Knowledge and understanding of parallel programming, thread programming, concurrency control, memory management and scalability.

• Strong understanding of computer system architecture and operating systems.

Ways To Stand Out from the Crowd:

• Master's or Ph.D. degree, or experience in engineering, computer science, or other technical-related fields.

• Experience with CUDA programming and NVIDIA GPUs.

• Experience with DL and Machine Learning algorithms.

• Strong collaborative and interpersonal skills to effectively guide and influence within a multifaceted, technical environment.

• Breaking a sophisticated problem to smaller modules that are fairly independent.

You will also be eligible for equity and benefits (https://www.nvidia.com/en-us/benefits/).

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.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Job Summary:

· Salary package: Basic $3500 - $4000 + Performance Bonus

· Working hours: Monday to Friday 9am - 6pm

· Working location : Kallang

Job Responsibilities:

Job Objective:
•⁠ ⁠Work closely with manufacturers and Engineers to implement and service audio visual and video conferencing solutions in accordance to company’s standards and best practices to meet customer’s requirements

Core Responsibilities:
•⁠ ⁠System configuration, Testing & Commissioning of Integrated Audio Visual and Videoconferencing solution.
•⁠ ⁠Conduct end user trainings to end users on how to use the Solution(s) implemented.
•⁠ ⁠Work closely with in house AV Designers and Engineers from different manufactures to implement full integrated solutions for venues like meeting room, lecture room, experience centre, command centre, auditorium, ballroom, etc
•⁠ ⁠Study the schematic drawings to understand the technical & functional requirements to implement each solution
•⁠ ⁠Assist in after sales services

Requirements:

•⁠ ITE/ Diploma in IT/Engineering/Audio Visual
•⁠ Minimum 2 years of experience in System configuration, Testing & Commissioning for Audio Visual solution. Good to have:
•⁠ Experience in some of the products like Videowall, LED & LCD Display, Digital Sound Processor (DSP), Amplifier, Speaker, videoconferencing, Audio Visual Switches.
•⁠ Experience in similar renowned AV brands like Samsung, Crestron, Extron, BOSE, Ev, Poly, Cisco, Logitech, etc
•⁠ Experience in Crestron, Extron, AMX, Kramer automation programming will be an added advantage
•⁠ Experience in DSP programming will be an added advantage

How to apply:

By submitting any application or resume to us, you will be deemed to have agreed and consented to us disclosing your personal information to prospective employers for their consideration.

We regret that only shortlisted candidates will be notified.

Lau Jie Xi - DT13

Registration Number: R21103272

EA Licence No: 16C8004 (Elitez Pte Ltd)

Job Summary:

· Salary package: Basic $3500 - $4000 + Performance Bonus

· Working hours: Monday to Friday 9am - 6pm

· Working location : Kallang

Job Responsibilities:

Job Objective:
•⁠ ⁠Work closely with manufacturers and Engineers to implement and service audio visual and video conferencing solutions in accordance to company’s standards and best practices to meet customer’s requirements

Core Responsibilities:
•⁠ ⁠System configuration, Testing & Commissioning of Integrated Audio Visual and Videoconferencing solution.
•⁠ ⁠Conduct end user trainings to end users on how to use the Solution(s) implemented.
•⁠ ⁠Work closely with in house AV Designers and Engineers from different manufactures to implement full integrated solutions for venues like meeting room, lecture room, experience centre, command centre, auditorium, ballroom, etc
•⁠ ⁠Study the schematic drawings to understand the technical & functional requirements to implement each solution
•⁠ ⁠Assist in after sales services

Requirements:

•⁠ ITE/ Diploma in IT/Engineering/Audio Visual
•⁠ Minimum 2 years of experience in System configuration, Testing & Commissioning for Audio Visual solution. Good to have:
•⁠ Experience in some of the products like Videowall, LED & LCD Display, Digital Sound Processor (DSP), Amplifier, Speaker, videoconferencing, Audio Visual Switches.
•⁠ Experience in similar renowned AV brands like Samsung, Crestron, Extron, BOSE, Ev, Poly, Cisco, Logitech, etc
•⁠ Experience in Crestron, Extron, AMX, Kramer automation programming will be an added advantage
•⁠ Experience in DSP programming will be an added advantage

How to apply:

By submitting any application or resume to us, you will be deemed to have agreed and consented to us disclosing your personal information to prospective employers for their consideration.

We regret that only shortlisted candidates will be notified.

Lau Jie Xi - DT13

Registration Number: R21103272

EA Licence No: 16C8004 (Elitez Pte Ltd)

Lead Solar Performance Engineer 

Remote (USA) or Hybrid Any USA ICF Location.

Do you enjoy working in wind, solar, energy storage, hydrogen, biofuel, and or conventional power generation technologies?  How about enabling project developers, financial institutions, and owners/investors to bring new projects online that support the future of energy around the globe? 

ICF’s TECHNICAL ADVISORY TEAM IS DOING JUST THAT! 

Our work is focused on enabling the development of, and investment in energy infrastructure.  Working within the Technical Advisory group, your role as a wind engineer will include engaging with clients and solving challenges related to the development, design, construction, operation, and analysis of renewable energy projects.   

You will be joining a motivated and dedicated team of industry experts, with a rewarding team culture.  As a member of the Technical Advisory team you will be delivering high-value technical diligence support and offer solutions for mitigating technical and commercial challenges encountered by our clients.  You will have an opportunity to work across energy technologies and engage with clients and industry stakeholders regarding the opportunities present in the evolving energy industry. 

Technical Advisory provides comprehensive energy industry advisory services supporting strategic investments, portfolio management, operational planning, market developments, policy analyses, regulatory support, and customer engagement.  We work collaboratively across several divisions within ICF, including our Power and Gas Market team, Environment and Planning team, and Transportation and Sustainability team.  Consultants at ICF integrate their industry experience with advanced consulting and analytical skills.  As a Solar Performance Engineer, you will utilize your experience to provide Independent Engineering and Owner’s Engineering advisory services.  

Description

ICF is seeking a motivated experienced Senior Solar Performance Engineer with experience in solar photovoltaic and battery storage system performance modeling. As a Senior Solar Performance Engineer, you will be responsible for leading our generation modeling team and contributing to the work of our growing team in the field of Independent Engineering and Owners Advisory, with a focus on solar photovoltaic developments. We seek candidates who will help us grow ICF’s private sector, Independent Engineering business segment by building on our established team. 

  

Key Responsibilities 

• Conduct resource and performance modeling for PV solar projects of all scales.  

• Contribute as team member in execution of assignments (report writing, data and industry research, analysis, modelling, etc.). 

• Preparation and/or review of reports used for project financing purposes. 

• Perform ongoing research of solar technologies, generation modeling practices and the state of the industry. 

• Collaborate with equipment providers to analyze emerging technologies. 

Minimum Qualifications 

• Bachelor’s degree in Engineering/Physics or other applicable discipline AND 5+ years’ experience in the energy sector, specifically, PV solar technology.

• 1+ years' experience of strong technical knowledge of solar resource and performance modeling, including experience with tools such as PVsyst, System Advisor Model or other resource related software tools.   

• 1+ years' experience and/or knowledge of due diligence and risk assessment process.  

• 1+ years' experience of understanding of project contracts including power purchase agreements, interconnection agreements, supply contracts, balance of plant construction contracts, and operations and maintenance contracts.  

Preferred Qualifications 

• 4+ years’ experience in the energy sector, specifically, PV solar technology.  

• Experience with computer programming such as Python, Matlab, etc. 

• Engineer in Training (EIT) designation desirable 

• Master's degree preferred. 

• Strong project management skills 

• Experience in proposal writing with an emphasis on business development. 

• Experience in technical research and writing industry based technical papers (e.g., white papers). 

• Experience in additional renewable technologies (outside of solar PV). 

Professional Skills  

• Advanced MS Office Suite experience.  

• A desire to work in a dynamic and diverse team environment.  

• Exceptional data management, research, and analytical skills.  

• Strong written, oral communication, and interpersonal skills.  

• Ability to work with and understand technical concepts while also being able to communicate them to varied audiences. 

• Detail-oriented. 

• Critical thinker.

• Ability to work under deadlines in a fast-paced environment and a capability to prioritize tasks. 

#LI-CC1

#Indeed

Working at ICF

ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.

We can only solve the world's toughest challenges by building an inclusive workplace that allows everyone to thrive. We are an equal opportunity employer, committed to hiring regardless of any protected characteristic, such as race, ethnicity, national origin, color, sex, gender identity/expression, sexual orientation, religion, age, disability status, or military/veteran status. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO & AA policy.

Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation please email icfcareercenter@icf.com and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

Read more about workplace discrimination rights, the Pay Transparency Statement, or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act.

 

Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position. The pay range for this position is:

$82,673.00 - $140,544.00

Nationwide Remote Office (US99)

Job Summary:

· Salary package: Basic $3500 - $4000 + Performance Bonus

· Working hours: Monday to Friday 9am - 6pm

· Working location : Kallang

Job Responsibilities:

Job Objective:
•⁠ ⁠Work closely with manufacturers and Engineers to implement and service audio visual and video conferencing solutions in accordance to company’s standards and best practices to meet customer’s requirements

Core Responsibilities:
•⁠ ⁠System configuration, Testing & Commissioning of Integrated Audio Visual and Videoconferencing solution.
•⁠ ⁠Conduct end user trainings to end users on how to use the Solution(s) implemented.
•⁠ ⁠Work closely with in house AV Designers and Engineers from different manufactures to implement full integrated solutions for venues like meeting room, lecture room, experience centre, command centre, auditorium, ballroom, etc
•⁠ ⁠Study the schematic drawings to understand the technical & functional requirements to implement each solution
•⁠ ⁠Assist in after sales services

Requirements:

•⁠ ITE/ Diploma in IT/Engineering/Audio Visual
•⁠ Minimum 2 years of experience in System configuration, Testing & Commissioning for Audio Visual solution. Good to have:
•⁠ Experience in some of the products like Videowall, LED & LCD Display, Digital Sound Processor (DSP), Amplifier, Speaker, videoconferencing, Audio Visual Switches.
•⁠ Experience in similar renowned AV brands like Samsung, Crestron, Extron, BOSE, Ev, Poly, Cisco, Logitech, etc
•⁠ Experience in Crestron, Extron, AMX, Kramer automation programming will be an added advantage
•⁠ Experience in DSP programming will be an added advantage

How to apply:

By submitting any application or resume to us, you will be deemed to have agreed and consented to us disclosing your personal information to prospective employers for their consideration.

We regret that only shortlisted candidates will be notified.

Lau Jie Xi - DT13

Registration Number: R21103272

EA Licence No: 16C8004 (Elitez Pte Ltd)

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars.

We are the GPU Communications Libraries and Networking team at NVIDIA. We deliver libraries like NCCL, NVSHMEM, UCX for Deep Learning and HPC. We are looking for a motivated Performance engineer to influence the roadmap of our communication libraries. The DL and HPC applications of today have a huge compute demand and run on scales which go up to tens of thousands of GPUs. The GPUs are connected with high-speed interconnects (eg. NVLink, PCIe) within a node and with high-speed networking (eg. Infiniband, Ethernet) across the nodes. Communication performance between the GPUs has a direct impact on the end-to-end application performance; and the stakes are even higher at huge scales! This is an outstanding opportunity for someone with HPC and performance background to advance the state of the art in this space. Are you ready for to contribute to the development of innovative technologies and help realize NVIDIA's vision?

What you will be doing:

• Conduct in-depth performance characterization and analysis on large multi-GPU and multi-node clusters.

• Study the interaction of our libraries with all HW (GPU, CPU, Networking) and SW components in the stack

• Evaluate proof-of-concepts, conduct trade-off analysis when multiple solutions are available

• Triage and root-cause performance issues reported by our customers

• Collect a lot of performance data; build tools and infrastructure to visualize and analyze the information

• Collaborate with a very dynamic team across multiple time zones

What we need to see:

• M.S. (or equivalent experience) or PHD in Computer Science, or related field with relevant performance engineering and HPC experience

• 3+ yrs of experience with parallel programming and at least one communication runtime (MPI, NCCL, UCX, NVSHMEM)

• Experience conducting performance benchmarking and triage on large scale HPC clusters

• Good understanding of computer system architecture, HW-SW interactions and operating systems principles (aka systems software fundamentals)

• Implement micro-benchmarks in C/C++, read and modify the code base when required

• Ability to debug performance issues across the entire HW/SW stack. Proficient in a scripting language, preferably Python

• Familiar with containers, cloud provisioning and scheduling tools (Kubernetes, SLURM, Ansible, Docker)

• Adaptability and passion to learn new areas and tools. Flexibility to work and communicate effectively across different teams and timezones

Ways to stand out from the crowd:

• Practical experience with Infiniband/Ethernet networks in areas like RDMA, topologies, congestion control

• Experience debugging network issues in large scale deployments

• Familiarity with CUDA programming and/or GPUs

• Experience with Deep Learning Frameworks such PyTorch, TensorFlow

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.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.