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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:
COMPETENCIES AND QUALIFICATION REQUIREMENTS
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.
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Leidos National Security Sector is currently seeking Research Engineers across multiple skill levels from Junior to Senior, to provide support to assist a Department of Defense customer in performing its research and development mission. The engineer’s work will include concept and technology research, exploration, development, documentation, analysis, experimentation, adaptation, integration, and transition.
The employee will perform a variety of tasks that include but not limited to:
Research, analysis, engineering concept studies, and documenting findings.
Conduct research and analysis and provide support for the improvement and development of analytical models that predict system signatures and describe the effects of technologies.
Develop the test plans and associated documentation for demonstrations of technologies.
Conduct related demonstrations, exercises, and experiments.
The employee will work both independently, and as part of small teams. They will coordinate as needed with the customer technical project team, and subject matter experts and scientists from other organizations.
Senior team members will participate in and may lead small teams or cross-collaborative efforts and direct/advise the work of more junior team members. They will design, conduct, and report on study, test, experimentation, and demonstration events. They will make recommendations for follow-on activity based on their findings. They will interact with and brief technical subjects to senior customer organization government and teammate/partner representatives.
Mid-level team members will participate in small teams or cross-collaborative efforts where they may be the primary or sole representative from their discipline. They may also lead portions of related efforts. They will direct/advise the work of junior team members. They will develop, conduct, and report on experimentation, study, and demonstration events. They will make recommendations based on their findings.
Junior team members will take direction from more senior team members in various disciplines. They will conduct limited scope independent research, document findings and make recommendations. They will conduct data collection, aggregation, and analysis. They will set up and tear down equipment in support of experimentation and demonstration events.
Though not frequent, there is a possibility for occasional travel on this project.
There is a likelihood of a hybrid work environment, with some time at the customer location, and other time at a remote/home office location. The distribution of time at various work locations will depend on the specific nature of work performed at any given time, and the associated security, facility, and equipment requirements.
Primary Responsibilities:
Conduct and document research and analysis on emerging technologies and their application and effects
Summarize significant findings, present, and discuss them with the government customer and technical team.
Develop, review, and assess concepts, theories, and research from other sources and provide summaries and recommendations to the government technical team as appropriate.
Identify and/or design, develop or adapt, demonstrate, and evaluate specialized tools for generation, transmission and measurement of signals and effects of interest.
Basic Qualifications:
Depending on level of position, Bachelor’s degree with 0-12 years of relevant experience, or Master’s degree with 2-20 years of relevant experience, or may have a Doctorate degree with 2+ years of relevant experience; degree must be in a relevant engineering discipline
US Citizen; Currently possessing an active DoD Secret clearance, with possible elevation to Top Secret (TS) Security Clearance with SCI eligibility
Proficiently communicate in the English language, both orally and in writing
Competently use MS Office applications
Travel up to 10% to locations within the continental US
Preferred Qualifications:
Previous experience within the ARL program office or another government research agency
Extensive experience in the areas of electrical and radio frequency engineering; application design, refinement, or adaptation for military application; and full cycle project support from conception to completion.
Note: Annual Salary will vary based upon experience/job level and may range from 75,000-225,000
While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
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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:
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.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
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Morgan Hunt are currently recruiting for a high regarded public sector organisation in Belfast who require a Research Software Engineer-Team Lead on a Full Time Contract available for 24 months
The chosen candidate will be responsible for the effective planning and day to day management of activities relating to the delivery of the High Performance Computing (HPC) and Research Data Storage (RDS) services.
Role Responsibilities
Role Requirements
Role Details
Morgan Hunt is a multi-award-winning recruitment Business for interim, contract and temporary recruitment and acts as an Employment Agency in relation to temporary vacancies. Morgan Hunt is an equal opportunities employer, job suitability are assessed on merit in accordance with their skills, qualifications and abilities to perform the relevant duties required in a particular role.
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Responsibilities
Qualifications:
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.
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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.
Key Responsibilities:
Qualifications:
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
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NVIDIA is at the forefront of redefining healthcare by harnessing the power of GPU computing and AI to redefine data analysis in fields such as genomics and personalized medicine. We are on the lookout for hardworking and committed individuals to join our mission in integrating AI driven genomic solutions into mainstream healthcare. As a Genomics Deep Learning Engineer, you will be part of an innovative team dedicated to the development of deep learning algorithms tailored for genomics applications. This role offers the outstanding chance to define, implement, productize, and deliver innovative computing software that will have a global impact on genomics community. If you are driven by solving complex computational challenges in the genomics field, this role is tailor-made for you!
What you'll be doing:
Develop and refine deep learning models and techniques for genomics analysis, including but not limited to DNA sequencing, variant calling, and model prediction.
Innovate deep learning-based methodologies to enhance and apply advanced Large Language Models (LLMs), Graph Neural Networks, Graph Transformer Networks, and construct extensive multi-modal models in genomics.
Design and implement machine learning techniques to tailor foundation models for downstream genomic specific tasks.
Generate and manage datasets for large-scale machine learning, focusing on learning from genomics specific applications.
Collaborate closely with product and hardware architecture teams to ensure flawless integration of research and development into NVIDIA products.
Work in tandem with engineering and AI research teams to employ the latest technologies for scalable and innovative genomics analysis.
What we need to see:
Bachelor's or Master's degree in Computer Science, Bioinformatics, or Computational Biology, or related field (or equivalent experience).
8+ years of relevant experience.
Proficiency in C/C++ and Python, with a strong grasp of software design and programming principles.
Background with Large Language Models (LLMs) and natural language processing (NLP), Generative AI and Foundation Models.
Strong proficiency with modern frameworks such as PyTorch and TensorFlow, Experience with Large scale inferencing.
Experience in building and implementing complex algorithms and data structures, with a focus on bioinformatics or genomics applications.
Deep understanding of computer system architecture, operating systems, and the challenges associated with large-scale genomic data analysis.
Ways to stand out from the crowd:
Ph. D. in Computer Science, Statistics, Bioinformatics, Computational Biology, or closely related fields.
Hands-on experience in using LLM, Graph Neural Network, Graph Transformer Network particularly those applied to genomics data.
Strong collaborative and interpersonal skills to effectively work and influence within a dynamic, technical environment.
Ability to decompose complex requirements into step by step tasks and reuse available solutions to implement most of those.
Join our team where you'll play a pivotal role in crafting and building real-time efficient AI/ML solutions that underpin our triumphs in the fast-paced multifaceted and quickly growing genomics field. 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.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
Official account of Jobstore.
Responsibilities:
1. Contribute to high-quality research and development work in TCOMS laboratory through:
· design of scaled physical test models, such as maritime vessels, offshore rigs, marine renewable platforms, and aquaculture systems for testing in TCOMS Ocean Basin.
· generation of detailed design, production, assembly, and as-built drawings of test models.
· leading a team of engineers and technicians on model fabrication and modification, calibration, instrumentation, and experimental setup.
· design of embedded sensors to enhance the measurement of models' behaviour and response.
· document design processes, methodologies, and results.
· engagement with external vendors for component sourcing and additional modification work that are beyond the present capabilities of TCOMS laboratory.
2. Perform research in the following areas:
· Offshore hydrodynamics
· Loads, motions and response analysis of Marine & Offshore platforms and floating structures
· Fluid-structure interactions
3. Collaborate with internal teams, affiliated research institutes and other relevant stakeholders in proposal preparation and submission.
Requirements:
Qualification & Field of Study:
· Bachelor's degree in following or related disciplines:
o Mechanical Engineering, Mechatronics,
o Ocean Engineering, Marine Engineering, Offshore Engineering,
o Electrical Engineering, Computer Engineering / Science
o Offshore/Civil/Structural Engineering, Applied Mathematics
Experience:
· 2 to 3 years of relevant work experience in the following areas:
o Mechanical design.
o Naval Architecture, ocean engineering, marine engineering, hydrodynamics, and systems engineering.
o Project management/productivity software/tools such as MS Office, MS Project.
o Marine structures, offshore structural engineering.
· Proficient with 3D modelling tools such as SolidWorks and AutoCAD.
· Prior experience / knowledge in one or more of the following software /programming languages will be preferred:
o SolidWorks, Rhino, and AutoCAD,
o WAMIT, OrcaFlex, SESAM Suite or equivalent,
o Finite Element analysis tools such as SESAM, ABAQUS, Ansys
· StarCCM+, OpenFOAM,
· Matlab, Fortran, Python and/or C++
· Model experiments in wave flumes, wave tank or ocean basin.
Other Requirements:
· Good interpersonal and communications skills.
· Good organization and interface management skills.
· Ability to adapt and work effectively as team player.
· Resourceful and self-driven with a high degree of professional integrity.
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.
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While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.
The Global Staff Learning Platform Engineer will be responsible for developing and maintaining any code associated with integrations between Learning Platforms including but not limited to the learning management system (LMS), lab platforms, curriculum and lab publishing, and productivity tools. The Staff Learning Platform Engineer will build relationships with stakeholders within Learning & Enablement (L&E) to automate manual processes and ensure the most efficient and effective systems are available to create effective training for our customers. This role will collaborate with cross functional stakeholders and external platform vendors, define business requirements, architect, create, and maintain the code base for any automations, and continuously seek to improve the user experience for any customers using said automations.
The impact you will have:
The impact you will have:
Official account of Jobstore.
Summary:
Skywork AI Singapore welcomes enthusiastic and forward-thinking research engineers to join our dynamic team at the Kunlun-2050 Research Lab Singapore. Being a new entrant in Singapore’s R&D landscape, we are dedicated to pushing the boundaries of Artificial General Intelligence (AGI) through foundational and application research, with a particular focus on Foundation Model 2.0 and Agents. Foundation Model 2.0 encompasses various dimensions, including pioneering new foundation modes and applications, optimizing training and inference acceleration, and conducting theoretical studies to enhance interpretability. Our work on Agents delves into both virtual and physical agents, propelling us into the forefront of AGI development.
We invite individuals who share our passion for AGI advancement and are eager to make their mark in the field to apply and become a vital part of our evolving team. Join us to contribute to cutting-edge research and explore the potential for technology transfer into Skywork AI's core products.
Key Responsibilities:
· Implement intricate algorithms and enhance model scalability
· Provide comprehensive engineering support to the research team
· Develop reusable libraries to support research in AGI field, focusing on Foundation Model 2.0 and Agents.
· Collaborate closely with our interdisciplinary team to publish influential research findings in top-tiered conferences and journals, making a significant impact on the AGI community.
· Actively explore technology transfer opportunities into Skywork AI's core products.
Desirable Experience:
· Hold a Bachelor’s degree or higher in computer science, statistics, engineering, applied mathematics, data science or related fields
· Possess more than three years of related work experience
· Demonstrated proficiency in programming languages
· Hands-on experience with deep learning frameworks and familiar with development tools
· Actively contribute to open-source projects
· Achievement in programming competitions and regional contests
· Attain esteemed recognition within the academic and professional community
Apply:
If you're excited to be part of our cutting-edge research team in the AGI space, please send your latest Curriculum Vitae to michelle@kunlun-inc.com to explore this exciting opportunity.
Skywork AI Singapore is committed to fostering diversity and welcomes candidates from all backgrounds to apply. Join us in shaping the future of AGI at Kunlun-2050 Research Lab. Your contributions can be instrumental in defining our journey as a new start-up in this dynamic field
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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.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
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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)
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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 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:
Job Requirements:
We regret to inform that only shortlisted candidates will be notified.
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We are looking for a Deep Learning Compiler Engineer. NVIDIA is hiring software engineers for its Deep Learning Compiler team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning, enabling breakthroughs in many areas, e.g. image classification, speech recognition, recommendation systems, large language models and generative AIs, etc. Join the team building the DLC which will be used by the entire deep learning community.
What you'll be doing:
In this role, you will be responsible for analyzing deep learning networks and developing compiler optimization algorithms. You’ll collaborate with members of the deep learning software framework teams and the hardware architecture teams to accelerate the next generation of deep learning software. The scope of these efforts includes crafting & implementing compiler and optimization techniques for neural networks, performance tuning and analysis, defining public APIs and other general software engineering work.
What we need to see:
Bachelors, Masters or Ph.D. in Computer Science, Computer Engineering, related field (or equivalent experience)
5+ years of relevant work or research experience in performance analysis and compiler optimizations.
Ability to work independently, define project goals and scope, and lead your own development effort.
Excellent C/C++ programming and software design skills, including debugging, performance analysis, and test design.
Strong interpersonal skills are required along with the ability to work in a dynamic product-oriented team.
Ways to stand out from the crowd:
Knowledge of CPU and/or GPU architecture. CUDA or OpenCL programming experience.
Experience with the following technologies is a huge plus: XLA, TVM, MLIR, LLVM, deep learning models and algorithms, and deep learning framework design.
A history of mentoring junior engineers and interns is a bonus.
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 brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles.
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.
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