Total 589 Software Engineer job vacancies in Education / Training category in The United States of America

Job Description:

Be part of an exciting FAB Team working on cutting-edge advanced packaging process technologies. Partner and work with various teams in IME, to be the lead in FAB inventory management, logistic planning, and its related operations to always enable smooth operations and develop packaging solutions and taking the solutions from concept to production. Responsibilities will also include assisting in operations support in FAB clean rooms to ensure all rounded supports are provided.

This position is based in Singapore.

Responsibilities:

- Looking for a reliable, agile, and professional individual.

- Able to understand, look ahead, plans the production schedules etc, and provide day to day supports in materials / spare parts procurement, inventory and logistics management to ensure smooth Fab operations.

- Initiate, lead and provide day to day supports in all logistics needs and initiate material/spare parts procurements when required to ensure smooth Fab operations.

- Follow through all the orders initiated from the start of purchase till delivery. Ensure the orders are delivered are on time.

- Accountable for the inventories required to enable smooth FAB cleanroom operations.

- Work seamlessly with various stakeholders to ensure inventory adequacy and logistics efficiencies.

- Employ critical thinking and put-up good initiatives to move forward towards systematic inventory digitalization.

- Ability to work in a multi-task environment.

Experience:

- Education: Diploma/Degree in engineering or supply chain discipline.

- Process strong customer service mind-set with excellent interpersonal and communication skills.

- Preferably some knowledge of supply chain analytics, experiences in semiconductor / manufacturing environment, with good wide contacts with semiconductor material suppliers, equipment vendors.

- Fresh graduate can be considered as well.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

About Us

NUS, Singapore’s flagship university, and SIA, Singapore’s flagship carrier, jointly established a 5-year SIA-NUS Digital Aviation Corporate Laboratory (Corp Lab) to create and commercialise innovative technologies that could accelerate the digital transformation of Singapore’s aviation sector and redefine the air travel experience. It leverages on NUS’s world class deep technology and multi-disciplinary research expertise across Artificial Intelligence (AI), Machine Learning, Data Science, Operations Research and Analytics, Optimisation, Automation, Sleep Studies and Design.

To emerge ahead in today’s digital transformation era, SIA and NUS will jointly target Revenue Management & Dynamic Pricing (for smart data-driven optimization), Transforming Competency and Skill Development (for intelligent and personalised pilot and cabin crew training), Employee Wellness (for data-driven and scientifically-backed improvements to workforce safety, performance and productivity), and Passenger Comfort, Sleep and Cabin Service (for next-generation product offerings and unparalleled customer service within the cabin).

Job Description

The Corporate Lab aims to develop for Singapore Airlines a new approach to design optimal price tiers for air tickets and manage seat inventory, to help maximize revenues for airlines, leveraging on modern analytical tools and technologies that can perform deep data analytics in airline revenue management system. The current solution provided by its new commercial vendor is adequate but could not address specific issues faced by SIA, including the price elasticity estimation, dynamic pricing and competition considerations etc. These are all unique to SIA and customized solution methodology needs to be developed for these purposes. Expertise, infrastructure and relevant background work done at NUS’s Institute of Operations Research and Analytics (IORA), School of Business, School of Computing and Department of Industrial Systems Engineering & Management would be tapped on to add value to the proposed projects.

The Research Engineer will be responsible for

1. Designing experiments to measure the causal effects of the different pricing algorithms
2. Validating key business questions via hypothesis testing
3. Leveraging state-of-the-art causal inference methodology to estimate pricing effects with observational and experimental data
4. Developing new algorithms in the causal estimation
5. Helping integrate the A/B test method into the simulator
6. Manage and Lead the team in the projects

About You

The University values courage and creativity, openness and engagement, inclusion and diversity, and respect and integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for a Research Fellow who has:

• A completed Bachelor’s Degree in operations research, econometrics, statistics, or related field
• Evidence of managing research projects
• Evidence of ability to conduct high-quality research
• Background relayed to Causal inference, Experiment design, Causal Structural modeling
• An emerging track record of academic publications
• An ability to work in a collaborative team environment
• Excellent communication skills

Others:
• Possess good interpersonal skills
• High comfort level in working within a self-directed culture and navigating ambiguity.
• Openness to critique from other disciplines and curiosity to learn from a spectrum of perspectives.
• An empathy and curiosity for how great brands, businesses and organizations navigate innovation and design.
• Experience with unique and novel tools and methods to uncover key insights
• willingness to work in a collaborative team environment

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

• Developing novel deep learning assisted algorithm for solving large-scale combinatorial optimization
• Implementing traditional optimization algorithms
• Collecting real-world dataset and testing the above algorithms for benchmarking.
• Writing paper for publication

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 one year of relevant research experience in deep learning or operations research
• Proficiency in programming languages such as Python is required
• Demonstrated experience and know-how on solving large-scale combinatorial optimization problem
• Experience with at least one programming tools, such as Pytorch or Tensorflow is preferred
• Excellent working knowledge of deep learning or operations research (OR)
• Good analytical, technical and problem solving skills
• Applicants with strong publications in AI or OR area will be advantageous
• Self-motivated individual who can work independently and also collaboratively with team members

OTHER INFORMATION

#LI-JN2

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

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 3 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 3 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.

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.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

This position involves working on a project related to legged robot and their application for port operations. The objective of this position includes contributing to the model development, solution and implementation of bio-inspired locomotion, climbing, and manipulation controllers on a hexapedal platform. The role involves the opportunity to work with the research team within National University of Singapore in which the team leaders are from the Department of Mechanical Engineering, alongside Specialists from a high technology company.

The successful candidate will be self-motivated with an outstanding track record in robotics, control, computer science, or related disciplines. The main research tasks for the project include but will not be limited to:

• Developing robust controllers for legged locomotion, pick-and-place motions, and mobile manipulation.

• Designing and implementing controllers on hardware to obtain a laboratory-level prototype system

Qualifications

• Good Coding skills in python

• Experience with implementation of legged locomotion/manipulation controllers on hardware

• Literature review/summarizing skills

• Simulations abilities (ROS/Gazebo, PyBullet)

• Good writing/spoken communication skills

The Micro-Electro-Multiphysical Systems (MEMS) team at Institute of Microelectronics (IME), Singapore is looking for a candidate to lead various testing capabilities of terahertz devices and systems. The engineer will work with a multidisciplinary team and contribute to the development and testing of metasurface-based terahertz technologies to enable future 6G wireless networks.

The job responsibilities will include:

• Develop various terahertz testing capabilities and setups including high-frequency electrical characterization and over-the-air testing.
• Design PCB level circuits for characterization of fabricated terahertz chips.
• Automate data acquisition and analysis process to improve test efficiency.
• Develop comprehensive electromagnetic simulation models of metasurface and design verification.
• Manage THz laboratory including facilities, health and safety, equipment calibration, and inventory monitoring.
• 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.

Potential candidates should meet the following requirements:

• Bachelor’s or Master’s degree in Electrical/Electronic Engineering / Applied Physics or equivalent.
• Experience in design/fabrication/testing of electromagnetic devices, especially for metasurfaces is a must.
• Good knowledge and clarity in understanding of fundamentals of electromagnetic concepts.
• Experience in electromagnetic simulation software such as CST, COMSOL, Lumerical, or HFSS.
• Experience in terahertz characterization and data analysis is a plus.
• Experience in layout drawing software, such as Cadence, L-edit is a plus.
• Experience in Python programming skills for data analysis is a plus.
• Good communication and presentation skills
• Ability to work independently, as well as being an excellent team player.

The Micro-Electro-Multiphysical Systems (MEMS) team at Institute of Microelectronics (IME), Singapore is looking for a candidate to lead various testing capabilities of terahertz devices and systems. The engineer will work with a multidisciplinary team and contribute to the development and testing of metasurface-based terahertz technologies to enable future 6G wireless networks.

The job responsibilities will include:

• Develop various terahertz testing capabilities and setups including high-frequency electrical characterization and over-the-air testing.
• Design PCB level circuits for characterization of fabricated terahertz chips.
• Automate data acquisition and analysis process to improve test efficiency.
• Develop comprehensive electromagnetic simulation models of metasurface and design verification.
• Manage THz laboratory including facilities, health and safety, equipment calibration, and inventory monitoring.
• 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.

Potential candidates should meet the following requirements:

• Bachelor’s or Master’s degree in Electrical/Electronic Engineering / Applied Physics or equivalent.
• Experience in design/fabrication/testing of electromagnetic devices, especially for metasurfaces is a must.
• Good knowledge and clarity in understanding of fundamentals of electromagnetic concepts.
• Experience in electromagnetic simulation software such as CST, COMSOL, Lumerical, or HFSS.
• Experience in terahertz characterization and data analysis is a plus.
• Experience in layout drawing software, such as Cadence, L-edit is a plus.
• Experience in Python programming skills for data analysis is a plus.
• Good communication and presentation skills
• Ability to work independently, as well as being an excellent team player.

The A*STAR's National Metrology Centre (NMC) is the national measurement institute of Singapore, dedicated to advancing measurement science for an innovative and competitive economy. NMC is looking for an enthusiastic, self-motivated, and innovative engineer with excellent interpersonal skills to join our multi-disciplinary team.

Successful candidate will be supporting measurement science R&D, including metrology for sensor testing and measurement of low-carbon fuels; He/she will be also working with a team of metrologists and scientists to support a competent and internationally recognized Singapore national measurement infrastructure.

Responsibilities:

• Conduct laboratory experiments and develop basic software tools to collect comprehensive data & perform data analysis under the guidance of metrologists and scientists.
• Perform and develop various chemical analytical techniques and methods.
• Gas sensor testing platform for chemical compositions assessment.
• Maintain accurate records of experimental data and observation and assist in the preparation of reports and presentations.
• Collaborate with team members to troubleshoot experimental issues and propose innovative solutions.
• Assist in literature reviews relevant to ongoing projects.
• Actively look out for ways to improve laboratory operation through automation and digitalisation.
• Adhere to laboratory safety protocols and maintain a clean and organized work environment.
• Participate in team meetings and contribute ideas and suggestions to improve measurement methodologies and processes.

Job Requirements:

• A degree in chemistry, physical science or engineering or relevant discipline; postgraduate degree would be advantageous.
• Familiarity with chemical analytical instrumentation used for measurement and testing.
• Capability to work autonomously yet collaboratively within a team.
• A proactive team contributor who is self-driven, eager to learn, and adopts a positive approach to challenges.
• Strong interpersonal, communication, and presentation abilities.
• Programming skills (e.g. Python, SQL, TensorFlow, Matlab, R) and experience in automation and digitalisation is an advantage.

The applicant will also work on precision measurement and national measurement standards on chemical compositions. He/She will involve in measurement knowledge transfer programme such as training and consulting services to develop measurement competency and provide measurement solution to the industry.

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.

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

• Design and implement AI for software engineering solutions
• Conduct evaluations and/or user studies to validate the effectiveness of the algorithms and tools
• Write and publish research papers and present them to reputable academic conferences
• Package the documents, implementation code, evaluation results of the project for release
• Liaise with other team members of this project to realize the overall goal of the project

QUALIFICATIONS

• Minimum Master Degree in Software Engineering/Computer Science/Computer Technology/Information Systems
• Minimum 1 year of relevant research experience in software engineering resulting in concrete results documented in at least 1 accepted/published research paper
• Excellent knowledge about software engineering research
• Excellent knowledge about AI Highly fluent in programming
• Competent in designing and implementing algorithms and data structures
• Excellent oral and written communication skills
• Excellent analytical, technical and problem solving skills
• Self-motivated individual who can work independently and also collaboratively with team members
• Able to work under strict deadlines

OTHER INFORMATION

#LI-JN2

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

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to develop a mobile app for visualising geospatial data.

Key Responsibilities

• Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
• Undertake these responsibilities in the project:
  1. Implement code for improved cartographic algorithms and thematic map designs.
  2. Design human-subject experiments that test how the implemented map designs are used on electronic devices.
  3. Obtain approval for conducting experiments from the Institutional Review Board.
  4. Perform statistical analysis and report the results in the format of journal articles and conference contributions.
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Coordinate procurement and liaison with vendors/suppliers.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.

Job Requirements

• Have relevant competence in the areas of mobile app development.
• Have programming experience in Python and JavaScript.
• Have a Ph.D. degree in computer science, statistics, geography or a closely related field from a regionally or internationally accredited institutions.
• Knowledge of experimental design and computational geometry will be advantageous.
• Knowledge of C++ and R is desirable.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processes only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

As a Research Engineer, you will contribute to the research, design and development of haptics enabled wearables. You will work with the team to develop haptics enabled wearables that fulfil clients’ requirements and work towards commercialization of the technology.

Key Responsibilities:
• Perform research, design, development and testing of sensors and haptics.
• Contribute to the smart fabric engineering and its integration.
• Passionate about product design, design for manufacturability, product improvement.
• Conduct system testing, debugging, and issue tracking, including root cause failure analysis.
• Produce design documentation and execute test procedures.
• Develop and execute verification/validation testing strategy.
• Works independently with work checked on a regular basis.
• Demonstrate technical competency and independent solution thinking.
• Perform other duties as assigned by management.

Qualifications

• Possess a Bachelors in Industrial Design / Mechatronics / Textile Engineering.
• Experienced in the use of general engineering lab equipment.
• Knowledge of design for manufacturing, PCBA assembly processes and issues will be advantageous.
• Good written and verbal communications.
• Open to fixed-term contract

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

The job holder is to work with PI and the research team to conduct Research Characterizing Airborne Pollutants in Urban Environment.

The research activities involve (but not limited to):

• Operating a wide variety of instruments, data retrieval
• Laboratory chemical analyses and speciation
• Modeling chemical reactions of airborne pollutants
• Assisting and contributing to project deliverables, including,
• Planning and conduct experiments, data analyses, progress reporting, report writing, etc.

Qualifications

One or more of (but not limited to) the following:

• Fast learner capable of conducting independent research and proficient literature search, review & summary with strong background in chemical engineering / chemistry / physics
• Sufficient experiences in applying Pythons functions of matplotlib, and numPy, pandas, statsmodels, etc
• Modeling chemical reactions of airborne pollutants through implicit modules
• Experiences of applying machine learning to handle big data
• Experiences of laboratory chemical analyses using chromatography, such as GC-MS-MS, LC-MS-MS, etc
• Experiences of operating instruments measuring physical properties of aerosols
• Experiences in conducting field studies of aerosol and VOC sampling using various instruments
• Proactive in assisting and contributing to quality scientific research publications
• Proficient in technical presentation, slide making, report writing, etc
• Proven rounded and effective team player with strong initiative and ownership of the research project

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

• Design, modification, and implementation of a modified Android AOSP for fine-graine monitoring of Android applications.
• Design, modification, and implementation of an Android kernel to support the modified AOSP.
• Experimenting the modified AOSP and kernel on both real handsets and emulators.
• Evaluating the security capability and performance of the system.

QUALIFICATIONS

• Minimum Bachelor's degree in Computer Science, Information Technology, Information Systems or closely related disciplines.
• Good communication skills in English.
• Relevant research experience in computer security and related areas is a plus.
• Advanced level of programming and software implementation, especially in C/C++ and Java.
• Good understanding of Android architecture and Android executables.
• Good analytical, technical, and problem-solving skills.
• Knowledgeable in software security problems and solutions.
• Research experience in software and system security related research.
• Applicants with research publications in security 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

We are looking for an energetic and motivated engineer to join our team. In this position you’ll play an important role in helping to develop cutting edge manufacturing technologies, as well in helping companies innovate and grow. And while doing so you’ll have the opportunity to work directly in and understand the industrial environment.

If you are passionate about engineering, process development, operating heavy machinery, advanced manufacturing, materials, and processes, this could be the role for you!

JOB DESCRIPTION

• Provide technical support and conduct process trials/experiments for both research and industry projects.
• Be an integral member of a metal casting team involving the operation of heavy machinery.
• Conduct materials characterization and testing.
• Engage with industry partners, customers and research collaborators to develop and execute plans.
• Provide timely project update and reports to team members, collaborators, and sponsors.
• Perform other ad-hoc roles / tasks as required / assigned.

JOB REQUIREMENT

• Bachelor’s degree in mechanical engineering / Materials Science and Engineering.
• Experience and knowledge in metallurgy, metal solidification and behaviour.
• Knowledge with CAD or SolidWorks is preferred but not required.
• Experience in an R&D environment or related industry is preferred but not required.

These are some of the soft skills we are looking for:

• Self-driven and proactive, apply logic and reason to effectively solve problems and manage risks.
• Team player with the ability to work effectively and independently within the team.
• Welcoming ideas from others and drive processes forward in an inclusive manner.
• Professionalism in communicating and interacting with team members and industry players.
• Attention to detail.
• Keen interest and ability to learn and adapt to new technologies to stay up-to-date and remain relevant.