Total 772 Engineering job vacancies in 1992 Ximeno Ave Long Beach, CA 90815

Incumbents of this position must be U.S. Citizens.

Responsibilities include:

• Provides NEXCOM cybersecurity support, by performing full package analysis of all IT systems, as defined by the Navy Risk Management Framework (RMF) guide.
• Uses comprehensive knowledge of information systems security principles and methods and the requirements for assessment and authorization to provide technical leadership in reassessment of installed systems.
• Applies knowledge and skills of information systems security principles and methods, the requirements for assessment and authorization of systems testing and evaluation, and performance management methods to conduct security authorizations for installed systems and/or networks, as well as reassessments of installed systems.
• Interviews the Information Technology (IT) owner to obtain system or site information. Independently uses this and other available information to evaluate security features of the IT system or site being assessed and authorized. Extensively work with system-level program teams throughout the system lifecycle to ensure they meet DoD 8500 series.
• Documents A&A information in the Comprehensive RMF package ensuring internal consistency of the information while ensuring no omissions.
• Provides clear and detailed technical feedback on potential risks affecting the systems vulnerability footprint and recommended courses of action to mitigate or consider other options to meet mission requirements while preserving or improving the security postures.
• Responsible for continuous monitoring of the system's security posture to ensure ongoing compliance and the timely detection of security issues after authorization, as necessary.
• Develops Security Assessment Plan (SAP).
• Uses CS tools in development of test plans, including Defense Information System Agency (DISA) Security Test Implementation Guides (STIGs), vulnerability scanners (e.g., SCCVI/SCRI, ACAS), and other tools. Recommends mitigation measures to reduce risk. Capable of going off test procedure scripts to extensively test a possible discrepancy that the test procedures may not fully identify. Notes unmitigated discrepancies, documents countermeasures that are in place, and documents a POA&M for addressing open risk/residual risk items.
• Utilizes FedRAMP, PCI, and other third party package authorizations for reciprocity and use within the NEXCOM organization.
• Ensures effective implementation of organizational information systems, security regulations, policies and maintaining compliance with higher level requirements. Ability to identify system components, develop and maintain diagrams, assesses risks, determines security modes of operation, and recommends new or revised security measures and countermeasures.
• Keeps supervisors up to date on all assignments.
• Performs other related duties as assigned.

Starting at $78,753 Per Year (NF 4)

Your Role

We are looking for an experienced Maintenance & Service Engineer/ Welding Engineer/ Senior Technician responsibility for support troubleshooting and repair work on welding machine. You will perform preventive maintenance on machines and cost reduction. Support new equipment installation and major periodic maintenance activities as required.

What Will You Do

• Support production troubleshooting and repair on welding machine
• Perform preventive maintenance on machines and cost reduction
• Support new equipment installation and maintenance activities
• Other ad-hoc duties assigned by manager

What Do We Want

• Min Diploma & above in electrical and electronic/ engineering / equivalent.
• At least 1-2 years & above of experience in electrical and electronic/ in service of welding products/system background.
• A team player with good communication and interpersonal skills.
• Willing to travel overseas as needed.

What Will You Get In Return
You will be given exposure to a hold a key position in a growing organization with attractive rewards and a wide range of benefits. You will entitle a Gross salary up to S$3300 + attractive perks.

What You Need to do Now
Click "Apply" and please include the following information in your resume:

• Personal Particulars with recent photograph
• Education background
• Work experiences in point forms
• Reason(s) for leaving
• Current and Expected salary
• Date of availability / Notice Period

Note:
Only shortlisted candidate will be notified via email for an interview invitation

Your Role
We are looking for an experienced Senior Sales Engineer / Sales Engineer (Laboratory/ Electronic Testing) to develop & identify business opportunities including sales visits, preparation of proposals, products & proposals presentation, contracts negotiation and closing of sales.

What Will You Do

• To develop and identify business opportunities
• To do sales visits, preparation of proposals & closing of sales
• To develop sales strategies for the growth of existing and new accounts
• To market wide range of products and provide customers with solutions
• To meet sales quota set and participate in yearly and periodic budget exercises.

What Do We Want

• At least Diploma/ Degree in Electronic/ Telecommunication / Engineering in relevant fields
• Min 2-3 years of relevant work experience in electronic testing / laboratory fields.
• Good communication skill & has pleasant personality and positive attitude.
• Possess own transport will be advantage.
• Willing to travel.

What Will You Get In Return
You will be given exposure to a hold a key position in a growing organization with attractive rewards and a wide range of benefits. You will entitle a Gross salary up to S$3800 + attractive perks.

What You Need to do Now
Click "Apply" and please include the following information in your resume:

• Personal Particulars with recent photograph
• Education background
• Work experiences in point forms
• Reason(s) for leaving
• Current and Expected salary
• Date of availability / Notice Period

Note:
Only shortlisted candidate will be notified via email for an interview invitation

Job Summary

You will be working with a team of professional engineers to challenge status quo, think different, thrive in ambiguity to meet mission objectives of our customers. You will lead a team of software engineers and work closely with other cross functional teams, Service Delivery Managers and Project Managers to deliver quality satellite ground software systems to our customers.

Job Responsibilities

• Drive the design and architecture of satellite ground control and antenna management software systems.
• Lead software team in implementing design, testing, verification, and validation of all software components.
• Implementation of cybersecurity measures for software applications
• Generate and maintain software development documentation.
• Plan and provide necessary software maintenance, training, and consultancy to users on the deployed software.
• Continuously develop new skills & techniques in software technologies to improve and reduce software development time and effort.
• Participate in the definition and development of future products.
• Collaborate with various stakeholders including customers, and engineering teams across organizations.
• Able to challenge the status quo, think different, thrive in ambiguity, care for team members and being ever curious.

Job Requirements

• Knowledge in Computer Engineering or related field.
• At least 8 years’ experience in mission critical system software development.
• Proficient in developing full stack applications, preferably with C#, JS.
• Experience with database, API design, network architecture, message broker, and cloud technologies.
• Experience with core engineering infrastructure tools such as GIT servers, CI/CD pipelines, Container Technologies.
• Familiar with agile software development lifecycles.
• Good understanding of hardware.
• Able to communicate in English and work in a fluid, innovative environment.
• Singaporean only

Please submit resumes to john@oaktree.com.sg with the following details in MS Word format:

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.

ABOUT US

LawNet Technology Services (LTS) is the technology company behind LawNet, Singapore’s leading portal for legal research, information and transactions. An indispensable tool for the legal community since 1990, LawNet is subscribed by a majority of Singapore lawyers and is also accessible by anyone outside the profession. Users can conduct research on Singapore primary legal materials (Singapore Law Reports, unreported judgments and legislation) and secondary materials (such as Parliamentary reports, legal news, textbooks and journals). LawNet continues to enhance its services and content while maintaining its affordable and highly competitive subscription rates, making it an essential resource for the legal community.

LTS is a wholly owned subsidiary of the Singapore Academy of Law (SAL), a promotion and development agency for Singapore’s legal industry. In addition to running LawNet, LTS manages the technology driving SAL’s support services for Singapore’s legal industry and statutory functions such as stakeholding services and appointment of Senior Counsel, Commissioners for Oaths and Notaries Public.

Led by a Board of Directors who understands both the capabilities of technology and the needs of the legal profession, LTS continues to develop bold and innovative products and services that will better serve the needs of the legal community.

POSITION

MLOps Engineer

REPORTING STRUCTURE

The MLOps Engineer will report to the Senior AI Solutions Architect of LawNet Technology Services (LTS).

ABOUT THE ROLE

We are seeking an experienced MLOps Engineer specializing in large language models at LawNet Technology Services. You will be at the forefront of operationalizing and scaling our AI capabilities. This role demands a unique blend of skills in machine learning, software engineering, and cloud technologies to efficiently deploy, monitor, and manage our large language models in production. Your expertise will directly contribute to the reliability, efficiency, and scalability of our AI services.

RESPONSIBILITIES

• Design and implement robust MLOps pipelines tailored for large language models, ensuring seamless transition from development to production.
• Work closely with data scientists and AI researchers to automate and optimize the model training, fine-tuning, inference and evaluation processes for our large language models on cloud infrastructure.
• Ensure the LLM can be seamlessly integrated with the serving infrastructure managed by the software engineering team.
• Explore and implement techniques for continuous learning of the LLM as new user data becomes available.
• Develop and implement strategies for monitoring model performance (accuracy, latency, fairness) in production.
• Set up alerts and dashboards to proactively identify and troubleshoot potential issues with the LLM.
• Stay up-to-date on the latest advancements in MLOps tools and methodologies.
• Implement monitoring and logging systems to track model performance, resource utilization, and operational health, enabling proactive maintenance and optimization.
• Ensure compliance with data privacy and security protocols throughout the model lifecycle.
• Facilitate continuous integration and delivery (CI/CD) processes for machine learning models, incorporating automated testing and quality assurance practices.
• Collaborate with stakeholders to understand operational requirements and challenges, translating them into technical solutions that enhance our AI capabilities.
• Stay updated with the latest advancements in MLOps, cloud technologies, and large language model development, incorporating best practices to maintain our competitive edge.

SKILLS & QUALIFICATIONS

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• Solid experience in MLOps, DevOps, or software engineering, with a specific focus on machine learning and large language models.
• Strong experience in building and managing machine learning pipelines.
• Proficiency in cloud computing platforms (AWS, GCP, Azure) and services related to machine learning and large-scale computing.
• Strong background in containerization and orchestration technologies (Docker, Kubernetes), as well as infrastructure as code (Terraform, CloudFormation).
• Demonstrated ability in programming with Python and experience with ML frameworks (TensorFlow, PyTorch, Hugging Face).
• Understanding of best practices for data security, privacy, and compliance in the context of AI and machine learning.
• Excellent problem-solving skills, with the ability to work in a fast-paced, evolving environment.

The level of offer and appointment designation will commensurate with applicants’ relevant experience and track records. Successful candidate will be offered a 2-year contract in the first instance.

Please provide your resume, including details of your currently monthly salary, total annual compensation package, and salary expectations.

Assist and report to the Project Manager at construction site.

Ensure works are carried out according to the approved technical drawings, quality procedures, EHS and ISO requirements.

Ad-hoc matters as assigned by the PM which is necessary for the execution of the project.

EA Licence No. 16C7962

ABOUT US
LawNet Technology Services (LTS) is the technology company behind LawNet, Singapore’s leading portal for legal research, information and transactions. An indispensable tool for the legal community since 1990, LawNet is subscribed by a majority of Singapore lawyers and is also accessible by anyone outside the profession. Users can conduct research on Singapore primary legal materials (Singapore Law Reports, unreported judgments and legislation) and secondary materials (such as Parliamentary reports, legal news, textbooks and journals). LawNet continues to enhance its services and content while maintaining its affordable and highly competitive subscription rates, making it an essential resource for the legal community.

LTS is a wholly owned subsidiary of the Singapore Academy of Law (SAL), a promotion and development agency for Singapore’s legal industry. In addition to running LawNet, LTS manages the technology driving SAL’s support services for Singapore’s legal industry and statutory functions such as stakeholding services and appointment of Senior Counsel, Commissioners for Oaths and Notaries Public.

Led by a Board of Directors who understands both the capabilities of technology and the needs of the legal profession, LTS continues to develop bold and innovative products and services that will better serve the needs of the legal community.

POSITION
AI/ML Engineer (Backend)

REPORTING STRUCTURE

The AI/ML Engineer will report to the Senior AI Solutions Architect of LawNet Technology Services (LTS).

ABOUT THE ROLE
As an AI/ML Engineer at LTS, you will play a crucial role in developing and enhancing our AI-driven products and services. We're seeking a talented Software Engineer to join our team and be responsible for deploying, maintaining, and scaling the infrastructure that serves our custom LLMs for a variety of use cases.

RESPONSIBILITIES

• Design, develop, and implement highly scalable backend services on AWS to support efficient training and inference of our LLM.
• Keep abreast of developments in AWS or other services to manage the LLM training and inference operations.
• Develop and optimise APIs to facilitate communication between the LLM and frontend applications for user interaction with functionalities from a variety of use cases.
• Design and implement data pipelines for efficiently moving training data to and from the LLM training environment on AWS (e.g., S3 Buckets, EFS storage).
• Integrate containerization technologies like Docker and container orchestration platforms like Amazon Elastic Kubernetes Service (EKS) for managing the LLM inference environment.
• Configure and implement robust security practices within your backend services to protect the LLM and user data at rest and in transit.
• Develop and implement logging and monitoring solutions (e.g., CloudWatch Logs, CloudWatch Metrics) to track the health and performance of the backend infrastructure and the LLM.
• Collaborate with ML and Front Eng Engineers to understand their specific requirements for training and inference, and translate those needs into efficient backend solutions.
• Collaborate with MLOps Engineers to automate the deployment and management of backend services and the LLM.
• Stay up-to-date on the latest advancements in AWS services relevant to backend development and LLM infrastructure.

SKILLS & QUALIFICATIONS

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Linguistics, or a related field.
• Proven experience in NLP or related areas, with a strong portfolio of projects demonstrating expertise in data engineering and model training/finetuning.
• Solid understanding of machine learning algorithms, language modeling, and their applications.
• Proficiency in programming languages such as Python, and experience with NLP libraries (e.g., NLTK, spaCy, Hugging Face).
• Familiarity with popular vector database platforms like Pinecone, Faiss, or Milvus would be beneficial.
• Experience with cloud computing platforms and services, and the ability to deploy and manage large models in a cloud environment.
• Experience with data pipelines and data processing tools on AWS (e.g. AWS Lambda).
• Experience with Infrastructure as Code (IaC) tools like Terraform or CloudFormation
• Strong problem-solving skills, with a creative and analytical approach to tackling complex challenges.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

The level of offer and appointment designation will commensurate with applicants’ relevant experience and track records. Successful candidate will be offered a 2-year contract in the first instance.

Please provide your resume, including details of your currently monthly salary, total annual compensation package, and salary expectations.

ABOUT US

LawNet Technology Services (LTS) is the technology company behind LawNet, Singapore’s leading portal for legal research, information and transactions. An indispensable tool for the legal community since 1990, LawNet is subscribed by a majority of Singapore lawyers and is also accessible by anyone outside the profession. Users can conduct research on Singapore primary legal materials (Singapore Law Reports, unreported judgments and legislation) and secondary materials (such as Parliamentary reports, legal news, textbooks and journals). LawNet continues to enhance its services and content while maintaining its affordable and highly competitive subscription rates, making it an essential resource for the legal community.

LTS is a wholly owned subsidiary of the Singapore Academy of Law (SAL), a promotion and development agency for Singapore’s legal industry. In addition to running LawNet, LTS manages the technology driving SAL’s support services for Singapore’s legal industry and statutory functions such as stakeholding services and appointment of Senior Counsel, Commissioners for Oaths and Notaries Public.

Led by a Board of Directors who understands both the capabilities of technology and the needs of the legal profession, LTS continues to develop bold and innovative products and services that will better serve the needs of the legal community.

POSITION
NLP Engineer

REPORTING STRUCTURE

The NLP Engineer will report to the Senior AI Solutions Architect of LawNet Technology Services (LTS).

ABOUT THE ROLE
As an NLP Engineer at LTS, you will play a crucial role in developing and enhancing our AI-driven products and services. We're seeking a skilled Data/NLP Engineer to join our team to develop and drive a data strategy to optimise model performance and manage the data pipelines for training and evaluating our custom LLMs.

RESPONSIBILITIES

• Work closely with domain experts to understand data sources, formats and structure.
• Collaborate with Machine Learning Engineers and MLOps Engineers to understand data requirements for LLM training and inference.
• Engage in data engineering tasks, including data collection, preprocessing, quality control and augmentation to ensure high-quality datasets for model training.
• Develop from scratch and fine-tune both traditional NLP and LLM models on LTS cloud infrastructure, optimizing for safety and performance (measurable via benchmarks)
• Collaborate with domain experts and carry out independent research to optimise and develop product evaluation suites to measure model and product performance.
• Explore and implement techniques for mitigating bias and ensuring fairness within the training data for the LLM.
• Lead in the development and implementation of strategies for data augmentation improve LLM performance.
• Collaborate with AI and MLOps Engineers to integrate NLP models into automated pipelines.
• Stay abreast of the latest NLP techniques and methodologies, experimenting with new models and approaches to maintain our competitive edge.
• Conduct rigorous testing and validation of NLP models to ensure robustness and reliability.
• Document and present model development processes, results, and insights to both technical and non-technical stakeholders.

SKILLS & QUALIFICATIONS

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Linguistics, or a related field.
• Proven experience in NLP or related areas, with a strong portfolio of projects demonstrating expertise in data engineering and model training/finetuning.
• Solid understanding of machine learning algorithms, language modeling, and their applications.
• Proficiency in programming languages such as Python, and experience with NLP libraries (e.g., NLTK, spaCy, Hugging Face).
• Experience with cloud computing platforms and services, and the ability to deploy and manage large models in a cloud environment.
• Strong problem-solving skills, with a creative and analytical approach to tackling complex challenges.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

The level of offer and appointment designation will commensurate with applicants’ relevant experience and track records. Successful candidate will be offered a 2-year contract in the first instance.

Please provide your resume, including details of your currently monthly salary, total annual compensation package, and salary expectations.

Supervisory Healthcare Engineer (Compliance and Innovation Unit Supervisor) collaborates directly with the Deputy Chief Engineer, Chief of Engineering Service, executive leadership, medical staff, nursing staff, and other clinical personnel regarding the design of the environment for medical care. They ensure that all hospital maintenance, repair, construction, and process improvement projects comply with a multitude of accreditation and regulatory requirements including, but not limited to, those promulgated by the Joint Commission (TJC), the Occupational Safety and Health Administration (OSHA), and the Environmental Protection Agency (EPA).

The Supervisory Healthcare Engineer is a key engineering advisor reporting directly to the Deputy Chief Engineer. The Supervisory Healthcare Engineer is a responsible leader and a member of the Compliance and Innovation Unit (five member unit) and is relied on for authoritative advice on all aspects of planning, coordinating, preparing, and reviewing maintenance and repair proposed solutions and site layout designs, drawings, and technical specifications in support of VALB projects.This position provides matrix management support and technical expert consultation to the Deputy Chief Engineer for all issues relative to the areas listed above.

The Supervisory Healthcare Engineer makes recommendations to the Deputy Chief Engineer for final approval. The Supervisory Healthcare Engineer collaborates with operations and program managers to ensure integrated goals and priorities for all projects are met. The Supervisory Healthcare Engineer also works closely with peers in other section/service lines to meet their project needs as internal customers and the needs of external customers as well.The role entails evaluating processes and workflows to identify opportunities for improvement, assessing existing processes, creating process ideas to reduce waste and improve process rates, designing and testing process upgrades and new systems, and ensuring operations comply with safety and quality standards. Analyze and identify opportunities to reduce process variation, improve process capabilities and optimize process performance.

The incumbent performs research and development to improve processes within the Engineering Services. Performs process improvement activities; design, implementation, and optimization of industrial processes; and evaluates processes and equipment to ensure compliance with environmental and safety regulations within the VALB Facility. The incumbent will identify new process improvement opportunities in the areas of quality, cost, performance, and preventive and predictive maintenance.

Work Schedule: Monday thru Friday, 7:30am to 4:00pm
Compressed/Flexible:Not be authorized after completing at least 90 days of continuous service.
Telework: Not Authorized
Virtual: This is not a virtual position.
Functional Statement #: 210190
Relocation/Recruitment Incentives: Not Authorized
Permanent Change of Station (PCS): Not Authorized
Financial Disclosure Report: Required

Starting at $149,599 Per Year (GS 13)

Cathay Petroleum International was established in 2003 as an independent physical trading business. For almost 20 years, we have been sourcing crude oil from all over the world and delivering cargoes to satisfied consumers and customers whenever and wherever they need them. Today, we are a global energy and commodities group that trades millions of barrels of oil a week. Every day, our experienced team works together to add value to the international commodities market. Our strong capital position and robust network of relationships has enabled us to grow from strength to strength and retain a record of profitability.

Our head office is situated in Singapore, the centre of the world’s busiest energy routes, allowing us to easily manage the flow of energy from West to East. In 2021, Cathay was proud to expand our growing organisation by opening a new trading office in London, allowing our traders to work more efficiently covering all trading hours.

POSITION: ANALYST

LOCATION: SINGAPORE

KEY RESPONSIBILITIES

• Implementation of financial models, particularly VaR and Stress Test models, to bolster our risk management capabilities.

• Conduct in-depth analysis of large datasets to pinpoint risks and develop effective mitigation strategies.

• Compute and report Daily Profit & Loss (P&L), Exposure, and VaR, ensuring compliance with risk management policies.

• Provide clear explanations on P&L movements breakdown to stakeholders.

• Reconcile trades to verify accuracy in trading records and statements/recaps.

• Conduct monthly reconciliation of realized profit & loss, collaborating with other departments as necessary.

• Communicate risk metrics to trading teams, offering insights and recommendations for risk mitigation.

• Support risk management system and projects, contributing to tool development and process enhancement.

• Evaluate the creditworthiness of counterparties by examining their financial standings, business histories, credit ratings, and external factors.

• Examine, draft, and negotiate credit, collateral, and payment terms for ISDA Master Agreements and CSAs with counterparties.

• Any other duties as assigned by the Company.

QALIFICATIONS & KEY COMPETENCIES/ SKILL SETS

• Bachelor’s degree in finance, accounting, mathematics, statistics, or a related field.

• Minimum 1 year of relevant experience, with a preference for candidates who have worked in the Oil & Gas trading industry.

• Comprehensive understanding of financial markets, physical commodities, and derivatives markets.

• Proficiency in MS Excel, VBA, and Power BI, or similar data visualization software.

• Capacity to critically evaluate models and methodologies.

• Prior experience with Energy Trading and Risk Management (ETRM) systems is a plus.

• Exceptional communication and interpersonal abilities.

• Strong team player with a meticulous approach to work.

COMPENSATION

Salary will commensurate with qualifications & experience. Please submit your resume to: recruit@cathaypetroleum.com.sg

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

We are seeking a proactive Workspace Technology Engineer to provide end-user support. This role demands a strong problem-solver with excellent communication skills, capable of managing a range of hardware, software, and AV support issues. You’ll be the key interface between IT and the business, contributing to both day-to-day operations and greenfield projects. The ideal candidate will take initiative to analyze problems, propose solutions, and see them through to implementation while working alongside the team.

Key Responsibilities

• Serve as the initial point of contact for Workspace Technology issues, managing and resolving problems based on priority and severity.
• Ensure continuous availability of computing resources for end-users, coordinating with IT resources for escalated issues when necessary.
• Support cloud environments including servers, networks, and applications as needed.
• Provide timely resolutions via phone, email, or in-person support.
• Build, deploy, and manage Workspace Technology devices (including imaging, antivirus systems, application maintenance, patching, and system rollouts).
• Lead system orientation for new hires and manage end-user devices such as laptops, desktops, and mobile devices.
• Document processes, standards, configurations, and procurement details, ensuring records are up to date.
• Collaborate with the wider Workspace Technology team and Technology Team resources for comprehensive problem resolution.

Requirements

• Bachelor’s degree in Computer Science or a related field.
• 2-5 years of end-user or infrastructure support experience in a professional services environment.
• Fundamental understanding of Microsoft 365 (M365) setup and management within an organization.
• Good knowledge of hardware, including desktops, laptops, and mobile devices.
• Strong customer service orientation and a passion for helping end-users resolve issues efficiently.
• The ability to remain calm under pressure and handle urgent situations with professionalism.
• Excellent written and verbal communication skills, with the ability to multitask and manage time effectively in both independent and team settings.

Nice-to-Haves

• Experience with supporting users in the financial industry or on the trading floor.
• Strong technical background with the ability to identify, analyze, and resolve issues efficiently.
• Experience with Azure Active Directory, Windows, Unix environments, desktop, and server hardware.
• Familiarity with cloud platforms such as Azure and AWS (certifications are an advantage).
• Knowledge of PowerShell, scripting, or coding is highly desirable.

• Monitor and analyze line performance metrics, including OEE, CT, NU, IDC, TCT, etc.
• Coordinate teams to identify and resolve quality issues (NC, PSS, etc.)
• Lead quality improvement initiatives to enhance product quality and customer satisfaction.
• Responsible for system deployment and improvement activities (SCIP, BLI,..)
• Collaborate with cross-functional teams to support projects aligned with the company's strategy and objectives
• Other tasks assigned by leader

As a Senior Project Engineer, your main responsibility is to lead, supervise, execute and coordinate project activities together with a group of Engineers, Technicians and sub-contractors leading to successful project completion. You will monitor and control projects on schedule, within budgeted cost and quality and safety standards. You will also work closely with the consultant/owner to ensure the project is delivered according to requirements. As a senior, you are also required to perform system programming and troubleshooting during project implementation.

You should possess a Diploma/Higher Nitec in Electrical and/or Electronics in any Engineering related courses, with 3-5 years’ experience in site supervision and coordination with owner, main contractors, and subcontractors, must have experience in alarm, card access and CCTV system installation knowledge. Must be computer literate and knowledge of Risk Management.

Please submit resumes to john@oaktree.com.sg with the following

details in MS Word format:

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.

As a Service Engineer, you have to attend to equipment fault at customers’ premises. Liaise with the customer and sub-contractors regarding all aspect on the add-on project activities. Monitor the progress of the work done closely in order to ensure that the schedule and quality of work are met. Also to ensure that all materials and equipment are delivered on time as per schedule for site installation or rectification of fault. To carry out periodic maintenance for our customers.

You should possess a Diploma in Electronics and/or Electrical Engineering with 2-3 years’ hands-on experience in troubleshooting of card access systems, alarm systems, CCTV, etc. With good interpersonal communication skills and a valid Class 3 license. Stand-by duty is required.

Please submit resumes to john@oaktree.com.sg with the following

details in MS Word format:

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.

At Oxford Instruments, we push the boundaries of what’s possible, helping our customers achieve the breakthroughs that change our world. Whether it’s developing technology for a greener economy, designing devices that enhance digital connectivity, or creating next generation medicines and healthcare technology, we address the greatest challenges of the 21st century. Everything we make is exceptional, and each product and solution gives greater insight, clarity and accuracy. At Oxford Instruments, we don’t wait for change to happen. We enable it.
About Us
Oxford Instruments plc is a leading provider of high technology products and services to the world's leading industrial companies and scientific research communities. Our core purpose is to support our customers to address some of the world's most pressing challenges, enabling a greener economy, increased connectivity, improved health and leaps in scientific understanding. We are proud to be recognised as the leaders in what we do and for the difference we make in the world. This is an exciting time to come join us!

How we work
We’re committed to being the leading provider of high-tech products and services for the world’s most important industrial and scientific research communities. Our people are vital to our success. We strive to offer the opportunities that will attract, motivate and retain the very best talent in our sector. This involves creating an inclusive environment and culture, where difference is valued and people are recognized for what they deliver and bring to the team.

Empowering People to Make a Difference
We don’t wait for change to happen. We enable it. That’s why we aim to create the best working environment and culture for our people to thrive. We share the same goals and value diversity of thought, perspective and experience. With a focus on the ongoing development, engagement and wellbeing of our people, we know we will continue to exceed customer expectations and drive change for the future.

About the Opportunity:
We are looking for an Electrical Engineer to join us as a key member of our highly technical reseach and development team. As part of the Oxford Instruments Group, X-ray Technology (XT) is a leading global manufacturer of world class high-performance X-ray sources. Our customers – Industry leaders in X-ray system applications – greatly value the quality, performance, and cost-effective solutions that we provide. Oxford XT products address applications in analysis, spectroscopy, gauging, and imaging. Our portfolios can be adapted to the individual requirements of our customers. They contribute worldwide to new insights and solutions in many areas of science, research, and development. This position is based full-time on site at the X-Ray Technology office in Scotts, Valley, CA.

Key Responsibilities:

- Collaborate in our dynamic and flexible Oxford X-ray Technology R&D team
- Solve complex problems, design, develop, and implement analog-digital circuits and systems for the control and processing of our sealed glass X-ray tubes
- Design solutions for high voltage applications associated with X-ray generation
- Implement and optimize interface solutions for hardware and software controls and automation
- Development of firmware for microprocessor and/or FPGA control
- Support of entire life cycle: from ideation to volume production and obsolescence
- Construct and commission rapid prototyping
- Address Voice of the Customer (VOC)


Required Qualifications:

- Bachelors of Science (e.g. electrical engineering, physics, chemistry) and several years of work relevant electrical engineering experience
- Working knowledge of PCB layout, circuit design, numerical solutions, and fluent in SW tools such as PADS, Altium, ORCAD, Cadence PSpice, MatLab, Simulink, LabView, LabWindows
- Expertise in reading, editing, and generating circuit diagrams, schematics and circuit mechanicals
- Solid experience using the document control system for engineering change orders, notifications
- Enthusiasm for physical sciences
- Self-driven, emotionally invested, and able to work with diverse teams
- Excellent written and spoken English skills


- Strong industrial experience with high voltage and high vacuum hardware and electronics.
- Experience with automation hardware, firmware for X-ray source manufacture.
- Hands on experience with processing and assembly equipment such as furnaces, pyrometry, metrology tooling, welding (TIG, resistance, laser), brazing, high voltage conditioning, flux and focal spot measurement.
- Experience with glass to metal fabrication and equipment and fixtures
- Experience with vacuum and forming gas induction heating techniques and design of tooling.


Desired Qualifications:

- Participation in research and development, from ideation to a released product.
- Working knowledge of data acquisition, programmable logic, human interface device, automation hardware and software.


Salary: In accordance with California law, the expected salary for this position is between $115,000
- $130,000. The actual compensation will be determined based on experience and other factors permitted by law.
Oxford Instruments Perks and benefits:

- Generous benefit packages
- We offer our employees competitive health insurance options, including Medical, Dental, and Vision plans.
- Our 401k program has options for saving both pre
- and post-tax dollars for retirement.
- Paid Time Off (PTO) Work-life balance is a key part of our company culture here at OI, and we know that our employees do their best work when they can take the time they need to rest and recharge. Employees start with 4 weeks of PTO which is accrued each pay period.
- Holidays
- We recognize 12 holidays this year.
- In addition to all the standard PTO options, OI proudly offers a generous and progressive paid family leave policy.
- Professional Development
- OI supports you and your professional development with $5,250 available in annual tuition reimbursement after 6 months of service.


Oxford Instruments is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Oxford Instruments is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, please contact Human Resources, 978-405-1119.

Note to recruitment agencies: Oxford Instruments operates a Preferred Supplier List, and we do not accept unsolicited agency CVs. Please do not forward candidate details in response to this advert, or to any Oxford Instruments employees or other company locations. Oxford Instruments is not responsible for any fees related to unsolicited CVs.

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