Total 638 quality control engineer job vacancies in Education / Training category in Malaysia

• Be part of a leader of electrical and automation organization.
• Be exposed to cutting-edge technologies and solutions.

About Our Client

The company specializes in electrical equipment, automation systems, and cutting-edge home solutions. The company epitomizes innovation and quality, offering a diverse range of products and solutions to meet the evolving needs of customers across residential, commercial, and industrial sectors. From stylish switches and sockets to sophisticated home and building automation systems, the company delivers state-of-the-art solutions backed by technical expertise and a commitment to customer satisfaction. As a key player in the region's electrical infrastructure development, the company continues to set industry standards, driving progress and innovation across the Asia-Pacific landscape.

Job Description

Key Responsibilities:

• Provide pre-sales and post-sales technical support to customers and partners, including system design, product selection, installation guidance, troubleshooting, and training.
• Develop a deep understanding of the product portfolio, including switches, sockets, home automation systems, and building automation solutions, and stay updated on new product releases and industry trends.
• Collaborate with sales teams to engage with customers and partners, understand their technical requirements, and propose tailored solutions to meet their needs.
• Support project implementation by providing technical expertise, conducting site visits, coordinating with internal and external stakeholders, and ensuring successful project execution.
• Conduct technical training sessions, workshops, and seminars for customers, partners, and internal teams to enhance their understanding of the products and solutions.
• Prepare technical documentation, including specifications, user manuals, and technical bulletins. Maintain accurate records of customer interactions, inquiries, and support activities.

The Successful Applicant

Qualifications:

• Bachelor's degree in Electrical Engineering, Electronics Engineering, or related field.
• At least 3 years of experience in technical support, application engineering, or related roles within the electrical or automation industry.
• Strong technical expertise in electrical systems, automation technologies, and building management systems.
• Excellent communication and interpersonal skills, with the ability to effectively communicate technical concepts to diverse audiences.
• Proven ability to work independently and collaboratively in a fast-paced environment, managing multiple priorities and stakeholders.
• Willingness to travel frequently within the Asia-Pacific region as needed.

What's on Offer

The company provides unique opportunity to be part of a dynamic and innovative team at the forefront of the electrical and automation industry in the Asia-Pacific region. Employees benefit from a rich heritage of quality, reliability, and cutting-edge technology spanning nearly eight decades. Individuals can expect a collaborative and inclusive work environment where their talents are valued and nurtured. With a focus on continuous learning and development, employees have access to ongoing training and career advancement opportunities, enabling them to grow both personally and professionally. The company competitive compensation packages, comprehensive benefits, and a range of employee perks, ensuring that candidates not only contribute to the company's success but also thrive in their own career journeys.

Contact

Timothy Huang (Lic No: R1980928/ EA no: 18S9099)

Quote job ref

JN-032024-6372853

Phone number

+65 6416 9863

Michael Page International Pte Ltd | Registration No. 199804751N

The Maritime Energy and Sustainable Development Centre of Excellence, Nanyang Technological University, Singapore, is seeking for a research engineer. Joining as a Research Engineer, you will have opportunities to participate in research projects working together with other capable and experienced researchers in the centre.

Job Description:

The key responsibilities would include:

• Conduct research in the field of maritime energy and sustainable development
• Conduct maritime energy-related experiments and trials.
• Carry out fieldwork, which will include ship and port data collection, analysis and modelling.
• Involve in industry development for research collaboration and technology deployment.

You will also need to work on other aspects of research projects, which include:

Preparing reports and papers for publication, presentation, periodical reporting/meetings, etc, and liaise with project stakeholders, including funding agencies, industrial partners and academic staff in universities and institutes (locally and internationally).

Job Requirements:

• Bachelor’s degree holder with very good academic results in Marine Engineering/Maritime Studies/ any Engineering course from a reputable university
• Holistic knowledge of a plant environment
• Good knowledge on international shipping/ ports/ marine engineering
• Good skills in data analysis and modelling
• Able to conduct field work
• Highly motivated and research oriented
• Able to work independently with minimum supervision
• Fluent verbal and written communications in English
• Problem solver and multi-tasking
• Self-motivated, mature, independent and resourceful
• An effective team player with good communication & interpersonal skills
• Able to work under pressure and meet tight deadlines
• Strong publication record and experience in industry R&D projects will definitely be an added advantage

We regret that only shortlisted candidates will be notified.

The Earth Observatory of Singapore (EOS) is a research institute at the Nanyang Technological University (NTU) of Singapore. Its mission is to conduct fundamental research on earthquakes, volcanic eruptions, tsunami and climate change in and around Southeast Asia, toward safer and more sustainable societies. The Centre for Geohazard Observations (CGO) of EOS provides technical and research support to the observatory. It installs, maintain and manages the observatory’s geophysical and other field instrumentation stations spread over several countries in the region.

The Senior Research Engineer is to enable the research conducted by EOS by providing effective technical and technological solutions in installing, maintaining and managing the various geohazard observation stations, and conducting field surveys. The purpose is to measure and collect quality field data necessary for the tectonic, volcanic and climate related research of the observatory.

Key Responsibilities:

• Design, install and maintain geohazard observation stations and networks in and round Southeast Asia that collect geophysical, geodetic and geochemical data for research. The stations include but not limited to Global Navigation Satellite System (GNSS) station, seismic station, volcano observation stations, infrasound network and environmental observation station.
• Design, install and maintain technical systems, such as the power system, radio/telemetry system, data networking system, fault monitoring system for the geohazard observation stations.
• Plan, organise, conduct local and overseas fieldwork for the installation, maintenance and rectification of the geohazard observation stations.
• Plan, organise and conduct geophysical field measurements using modern surveying equipment.
• Monitor the operational status of the geohazard observation stations remotely, devise fault rectification plan and rectify remotely where possible.
• Coordinate with collaborators for the conduct of installation and maintenance fieldwork.
• Perform data quality check and basic data processing.

Job Requirements:

• Bachelor’s degree in engineering or related fields with 8 years of relevant working experience, or
• Master’s degree in engineering or related fields with 6 years of relevant working experience.
• Experience and knowledge in GNSS data processing using GAMIT/GLOBK or similar software.
• Experience and knowledge in computing languages such Python and bash scripting.
• Experience and knowledge in Data Networking/Telemetry.
• Experience and knowledge in the electrical domain.
• Experience in conducting fieldwork at remote locations.
• Evidence of being a strong team player.
• Evidence of technical or technological resourcefulness and inventiveness.
• Experience in earth, climate or environmental science related fieldwork in Southeast Asia region is an advantage.

We regret to inform that only shortlisted candidates will be notified.

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• Process video feeds captured by drones flying at the OCBC Aquatic Center.
• Perform background subtraction on the videos to remove the pool and other unnecessary details.
• Segment the swimmers into specific body limbs.
• Analyze the limbs to extract performance metrics of value to the swimming coaches.
• Create visualisations of the metrics for review by the coaches.
• Work with the drone operators to create a real-time feed where the videos are processed in real-time to generate analytics that can be viewed by the coaches during training.

QUALIFICATIONS

• Minimum Bachelor's/Master's degree in Computer Science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning.
• Minimum 2 years of relevant research experience in video analytics.
• Demonstrated experience and know-how on video analytics.
• Experience with at least one programming software/languages, such as python and java is preferred.
• Excellent working knowledge of the various python video analytics toolkits.
• Good analytical, technical and problem solving skills.
• Applicants with research publications in the video analytics area will be advantageous.
• Self-motivated individual who can work independently and also collaboratively with team members.

OTHER INFORMATION

#LI-XL1

Please note that your application will be sent to and reviewed by the direct employer - Singapore Management University

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• Visualise the analytics results generated by the rest of the project.
• Build dashboards for use on tablets and laptops that can quickly and easily visualize the analytics results produced by the rest of the project.
• Built filters and overlays to allow the coaches to see what they need quickly and easily.
• Build different visualisations for different use cases e.g. coaches at the side of the pool, coaches analysing detailed results, athletes viewing their own data.
• Integrate as many feeds as necessary to produce the visualisations.
• If possible, create mobile friendly versions.

QUALIFICATIONS

• Minimum Bachelor's/Master's degree in Computer Science, Information Technology, Information Systems or closely related disciplines.
• Minimum 2 years of relevant research experience in video analytics.
• Demonstrated experience and know-how on visualisation.
• Experience with at least one programming software/languages, such as javascript, HTML, android / iOS displays aa is preferred.
• Excellent working knowledge of the various visualisation toolkits.
• Good analytical, technical and problem solving skills.
• Applicants with research publications in the data visualisation area will be advantageous.
• Self-motivated individual who can work independently and also collaboratively with team members.

OTHER INFORMATION

#LI-XL1

Please note that your application will be sent to and reviewed by the direct employer - Singapore Management University

SECTION 1: POSITION DETAILS

Job Title for Posting

Assistant Process Engineer

KEY JOB PURPOSE

You are required to ensure the smooth operation of his/her assigned process unit. Your primary responsibility will be to assist our research team in conducting experiments, analyzing data, and providing technical support to advance the understanding and performance of the solar cell fabrication processes. You will work closely with researchers and process engineers to contribute to cutting-edge research in the field and help drive the development of next-generation photovoltaics.

KEY RESPONSIBILITIES

The job scope includes:

•  Prepares substrates/precursors, loads samples and prepares material deposition process for experimentationin time and quality
•  Evaluates performance of process system.
•  Interface with team members, understand their detailed plan and requirement.
•  Monitor process and hardware performance.
•  Records process conditions and experimental observations.
•  Measure and characterize materials and devices.
•  Report data to the research team.
•  Assist in laboratory and equipment maintenance.
•  Assist in ordering equipment, chemicals and consumables, and coordinates with vendors and purchasing.
•  Perform routine shut down procedure.
•  Ensure cleanliness of work area, upkeep equipment and assists in maintenance program and operating of equipment.
•  Part of the Emergency Response Team Member in the Company to react in all sort of emergency and execute function as a first aider.

COMPETENCIES AND QUALIFICATION REQUIREMENTS

•  Diploma or Bachelor's degree in materials science, chemistry, electrical engineering, chemical engineering, or a related field.
•  Enjoy hands-on duties daily (non-desk bound) which may include carrying items, walking, working etc.
•  Capable to work in a clean laboratory environment daily
•  No disciplinary issues history
•  Self-disciplined, good team player Responsible and independent worker
•  Reactive to malfunctions
•  High self-motivated and effective team player with good communication skills
•  Attentive to details
•  Strong problem-solving skills and a passion for scientific inquiry.
•  Good written and verbal communication skills (both in Mandarin and English)
•  Knowledge of safety protocols and practices in a laboratory setting.

ABRIDGED VERSION OF JOB DESCRIPTION AND REQUIREMENTS

We are looking for a focused and highly motivated individual to contribute to a dynamic and growing team. This team focuses on the fabrication of next-generation photovoltaic technology in our flagship project. We regret that only shortlisted candidates will be notified.

Responsibilities

• The candidate will be required to perform electrical testing, test data analysis & automation across SiC power and RF/mmWave GaN devices.
• The candidate hands-on characterization work will encompass from low voltage I-V/C-V to high voltage breakdown, switching performances for SiC, and DC & high-frequency characterizations for RF/mmWave regime.
• The candidate must have hands-on experienced in handling Keysight 4156C and B1500A/Keithley K4200 Device Analyzer, B1505A High Power Device Analyzer with N1265A UHC Fixture and Keysight 4284A/4285A and E4908A LCR Meter independently on their own.
• It will be a plus if the candidate has knowledge of instrumentation control using LabView and some other software like Python, C++ etc .
• The candidate is required to have at least some basic semi-conductor knowledges of semi-conductor devices like P-N Junction, Diodes, CMOS etc.
• The candidate can be exposed to process and device design/simulation with commercial TCAD tools (e.g. Silvaco Victory Process and Victory Device, Sentaurus Process and Device, etc) as part of the learning development and eventually be working on wide bandgap devices team.

Qualifications:

• Bachelors / Masters' degree in Electrical Engineering, Materials Science, Mechanical Engineering, Chemical Engineering, Chemistry, Physics or equivalent
• At least 5 years of relevant experience preferred. Candidates with relevant study/project experience (Electronics, Microelectronics, Computer Engineering, etc) can be considered.
• Strong communication, industry awareness, and problem-solving skills.
• Highly motivated to succeed, a self-starter who is driven and able to work with others effectively to "get things done".
• Industry experience is a plus

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

At NVIDIA Lightspeed Studios we are passionate about pushing the boundaries of technology and are seeking a skilled Deep Learning Software Engineer to join our team. If you're enthusiastic about deep learning research in the area of real-time perception and gameplay control logic, content generation for games (2D/3D), animation, large or small language models, and have the technical background to apply deep learning solutions to real world problems, we want to hear from you!

Recent projects from our team:

• RTX Remix: https://www.nvidia.com/en-us/geforce/rtx-remix/

• RacerX: https://blogs.nvidia.com/blog/2022/09/29/racer-rtx-demo/

• Avatar Cloud Engine for Games: https://www.nvidia.com/en-us/geforce/news/nvidia-ace-for-games-generative-ai-npcs/

What you'll be doing:

• Keep up to date with the latest AI research in the area of real-time inference, generative content, animation and language models.

• Apply existing research to real world problems in game development.

• Collaborate with applied research teams to bring the latest AI technology to real products.

• Play a pivotal role in steering applied research efforts to unlock innovative solutions and push the boundaries of what's possible in game development.

• Use version control systems like Git, participate in code reviews, and support continuous integration processes and testing.

• Collaborate on Linux or Windows environments.

What we need to see:

• Strong experience with deep learning tools and APIs (PyTorch, CuDNN, TensorRT).

• BS level education or equivalent experience in Computer Science or related field

• 4+ years of relevant work experience.

• Strong proficiency in Python, Rust or C++, with a deep understanding of software design patterns and architecture.

• Experience in optimizing neural networks for execution on CPU or GPU.

• Experience developing modularized applications.

• Proficiency in live debugging and performance profiling.

• Background with 2D/3D content pipelines for games.

• Understanding of large language models.

• Knowledge of game engine development is preferred.

• Prior exposure to any/all of the following: Unreal Engine 5, Unity Engine, Pixar’s OpenUSD and APIs or Digital Content Creation software.

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most hard-working and dedicated people on the planet working for us and, due to unprecedented growth, our special engineering teams are growing fast. If you're a creative and autonomous engineer with a genuine passion for technology, we want to hear from you.

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.

We are now looking for a Senior Deep Learning Software Engineer!

At NVIDIA, we are pushing the boundaries of what is possible in AI. To advance the future of NVIDIA's hardware and software, we are seeking a talented Software Engineer who will deliver innovative quantization and sparsity algorithms into our flagship products. In this role, you will rigorously explore, implement, and evaluate new concepts, bridging the realms of hardware and software while setting new benchmarks in AI acceleration. Your work will play a crucial role in influencing our flagship GPU and software roadmaps, enabling major customer wins, and advancing our mission to fulfill the promise and future of AI.

What You'll Be Doing:

• Implementing, optimizing, and benchmarking state-of-the-art sparsity and quantization algorithms on real-world AI models running on ground breaking hardware.

• Collaborate closely with hardware, software, and research teams to assess and adopt deep learning algorithmic advancements in sparsity and quantization

• Provide engineering support to customers using innovative HW and SW approaches

• Work closely with production teams to develop and integrate the latest deep learning approaches into state-of-the-art libraries and frameworks

What We Need to See:

• A minimum of a Master's degree in Computer Science, Artificial Intelligence, Applied Math or a related field, or equivalent experience

• 5+ years of relevant software development experience

• A strong foundation in deep learning, specifically in quantization, numerics, and sparsity

• Strong proficiency with modern frameworks such as PyTorch and TensorFlow

• Familiarity with computer architecture and how it relates to AI algorithms development

• Previous experience working directly with AI hardware and software development teams.

Ways to Stand Out From the Crowd:

• Background with benchmarking accuracy and performance of AI models 

• Experience with CUDA programming and GPU performance optimizations

• Published research or significant contributions to the field of AI, particularly in algorithm development for hardware-software co-design.

As NVIDIA makes inroads into the Datacenter business, our team plays a central role in getting the most out of our exponentially growing datacenter deployments as well as establishing a data-driven approach to hardware design and system software development. We collaborate with a broad cross section of teams at NVIDIA ranging from DL research teams to CUDA Kernel and DL Framework development teams, to Silicon Architecture Teams. As our team grows, and as we seek to identify and take advantage of long term opportunities, our skill-set needs are expanding as well.

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. If you're creative and autonomous, we want to hear from you!

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.

A qualified candidate will be self-motivated with strong technical and analytical skills as well as possess practical and hands-on approach to engineering control in the areas of metrology management

Responsibilities:

· Recipe creation and optimisation for new R&D applications requirement.
- Preventive and corrective maintenance planning cum execution and vendor management.

· To take charge of new tools technical assessment and tender creation (equipment cum process application startup) and service contract tender set-up

· Drive continuous improvement projects (CIP) to achieve better measurement repeatability (MSA, GR&R, SPC etc).

· To set-up appropriate process and product control plan and out of control action plans (OCAP)

· Provide technical training to related staff on best-known practices in terms of application metrology recipe creation.

Requirement:

· Bachelor degree in Electrical and Electronics, Material, Physics or Chemical engineering

· Minimum 3~5 years of hands-on semiconductor experience (preferably in metrology application and equipment maintenance)

· Possess computer soft ware skills (i.e. JMP, Minitab, SQL, Visual basic, etc)

· Knowledge in problem solving and quality control skills (i.e. LEAN 6sigma, RCA, DOE, etc)

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.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.

A qualified candidate will be self-motivated with strong technical and analytical skills as well as possess practical and hands-on approach to engineering control in the areas of metrology management

Responsibilities:

· Recipe creation and optimisation for new R&D applications requirement.
- Preventive and corrective maintenance planning cum execution and vendor management.

· To take charge of new tools technical assessment and tender creation (equipment cum process application startup) and service contract tender set-up

· Drive continuous improvement projects (CIP) to achieve better measurement repeatability (MSA, GR&R, SPC etc).

· To set-up appropriate process and product control plan and out of control action plans (OCAP)

· Provide technical training to related staff on best-known practices in terms of application metrology recipe creation.

Requirement:

· Bachelor degree in Electrical and Electronics, Material, Physics or Chemical engineering

· Minimum 3~5 years of hands-on semiconductor experience (preferably in metrology application and equipment maintenance)

· Possess computer soft ware skills (i.e. JMP, Minitab, SQL, Visual basic, etc)

· Knowledge in problem solving and quality control skills (i.e. LEAN 6sigma, RCA, DOE, etc)

As part of IME’s Photonics & Sensors Department, the candidate will take lead of the development of various testing capability for advanced photonics, including but not limited to chip-level and wafer-level testing of optical devices and electro-optical devices at high RF frequencies, as well as the testing of electro-optical sub-modules and sub-systems. You will work closely with an excellent multidisciplinary team working on advanced photonics.

Responsibilities:

• Develop various photonics testing capabilities for both chips and wafers, including design and building of measurement setups
• Perform chip-scale and wafer-scale data collection for OE, EO and OO devices from frequency range of 0 to 110 GHz
• Optimize data acquisition and analysis process to improve test efficiency, e.g. automation of measurement processes for wafer-scale testing and corner analysis
• Manage photonics laboratory including facilities, health and safety, equipment calibration, inventory and stocktake
• Take the lead to procure laboratory equipment and consumables
• Prepare technical presentations and papers for internal meetings, as well as conferences and journals
• Collaborate with project team to ensure quality and on-time delivery for various projects
• Performs other duties as assigned.

Qualifications:

• Bachelor’s or master’s degree in Physics, Electronic/Electrical Engineering, Photonics, Opto-electronics or equivalent
• More than 5 years hands-on experience in active photonics/optoelectronic device testing, especially for high-speed optical modulator and photodetector devices and electronic-photonic integrated circuit.
• More than 5 years hands-on experiences in optical setup construction and semiconductor & optoelectronic device characterization
• Experienced on experimental data acquisition and analysis
• Skillsets in programming or instrument automation is a plus
• Strong skills in problem-solving, communication and providing technical presentations
• Industry experience and awareness is a plus

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

We are now looking for a Senior Deep Learning Software Engineer, Inference! NVIDIA is seeking an experienced Deep Learning Engineer focused on analyzing and improving performance of DL inference! NVIDIA is rapidly growing our research and development for Deep Learning Inference and is seeking excellent Software Engineers at all levels of expertise to join our team. Companies around the world are using NVIDIA GPUs to power a revolution in deep learning, enabling breakthroughs in areas like LLM, Generative AI, Recommenders and Vision that has put DL into every software solution. Join the team that builds the software to enable the performance optimization, deployment and serving of these DL solutions. We specialize in developing GPU-accelerated Deep learning software like TensorRT, DL benchmarking software and performant solutions to deploy and serve these models.

Collaborate with the deep learning community to implement the latest algorithms for public release in TensorRT and DL benchmarks. Identify performance opportunities and optimize SoTA DL models across the spectrum of NVIDIA accelerators, from datacenter GPUs to edge SoCs. Implement optimizations using TensorRT, its open source tools like Polygraphy, TensorRT plugins, Triton and CUDA kernels. Work and collaborate with a diverse set of teams involving performance modeling, performance analysis, kernel development and inference software development.

What you'll be doing:

• Performance optimization, analysis, and tuning of DL models in various domains like LLM, Recommender, GNN, Generative AI.

• Scale performance of DL models across different architectures and types of NVIDIA accelerators.

• Contribute features and code to NVIDIA’s inference benchmarking frameworks, TensorRT, Triton and LLM software solutions.

• Work with cross-collaborative teams across generative AI, automotive, image understanding, and speech understanding to develop innovative solutions.

What we need to see:

• Masters or PhD or equivalent experience in relevant field (Computer Engineering, Computer Science, EECS, AI).

• At least 3 years of relevant software development experience.

• You'll need excellent C/C++ programming and software design skills. SW Agile skills are helpful and Python experience is a plus.

• Prior experience with training, deploying or optimizing the inference of DL models in production is a plus.

• Prior experience with performance modelling, profiling, debug, and code optimization or architectural knowledge of CPU and GPU is a plus.

• GPU programming experience (CUDA or OpenCL) is a plus.

GPU deep learning has provided the foundation for machines to learn, perceive, reason and solve problems posed using human language. 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.” Come, join our DL Architecture team, where you can help build the real-time, cost-effective computing platform driving our success in this exciting and quickly 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.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 now looking for a Senior Deep Learning Software Engineer, DLSim! NVIDIA is seeking a Deep Learning Software Engineer to contribute to the creation of a compiler-oriented simulation infrastructure that swiftly assesses the forthcoming AI-accelerating GPU hardware and software advancements.

The DLSim Teams’ core mission is to deliver full-stack simulation infrastructure for deep learning applications across a spectrum of GPUs. We actively collaborate with architecture, software, product, and research teams to shape and refine the strategic roadmap of DL hardware and software.

What you’ll be doing:

• Pioneer a novel deep learning compiler and simulation infrastructure that enables fast simulation of NVIDIA GPUs within DL compilers

• Enhance DL compiler GPU kernel code generation with simulation-driven heuristics or cost models for optimal efficiency

• Build a high-fidelity DL simulator with remarkable simulation speed

• Partner across functional teams to understand and evaluate utilization, analyze, and identify opportunities for new or enhanced designs

• Engage with Open Source communities

What we need to see:

• A Masters or PhD degree in Computer Science, Computer Engineering, or a related STEM field (or equivalent experience)

• 3+ years of relevant work experience

• Programming fluency in C/C++ and Python

• In-depth understanding of compiler design and construction, particularly optimizations on code generation

• Experience with architectural simulator design

• Advanced knowledge of GPU and/or other AI accelerators

• Effective communicator with solid prioritization skills, and a logical approach to problem-solving

Ways to stand out from the crowd:

• A PhD in Computer Science and Engineering with a specialization in Computer Architecture, Compilers, or simulation techniques

• Experience with the MLIR or LLVM compiler infrastructure and DL compilers such as OpenAI Triton and IREE

• Made contributions to open-source projects such as MLIR or LLVM

• Worked with the challenges of DL acceleration before, and ready to put your innovative ideas into motion and drive for success

Intelligent machines powered by AI 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 creative, motivated, and love a challenge? If so, we want to hear from you! Come, join our DLSim 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.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.