Total 2,264 procurement engineer job vacancies in Information Technology category

At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions.

Founded in 2013 by the original creators of Apache Spark™, Databricks has grown from a tiny corner office in Berkeley, California to a global organization with over 1000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest growing SaaS companies in the world.

Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is critical to making customers successful on our platform.

We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.

As a software engineer with a backend focus, you will work closely with your team and product management to prioritize, design, implement, test, and operate micro-services for the Databricks platform and product. This implies, among others, writing software in Scala/Java, building data pipelines (Apache Spark™, Apache Kafka), integrating with third-party applications, and interacting with cloud APIs (AWS, Azure, CloudFormation, Terraform).

Below are some example teams you can join:

Data Science and Machine Learning Infrastructure: Build services and infrastructure at the intersection of machine learning and distributed systems. Our technology empowers the flagship collaborative workspace, notebooks, IDE integrations, and project management products. We also enable machine learning at scale with tools for environment management, distributed training, and managing the Machine Learning lifecycle through MLflow.

Compute Fabric: Build the resource management infrastructure powering all the big data and machine learning workloads on the Databricks platform in a robust, flexible, secure, and cloud-agnostic way. The software manages millions of virtual machines.

Data Plane Storage: Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store.

Enterprise Platform: Offer a simple and powerful experience for onboarding and managing all of their data teams across 10ks of users on the Databricks platform. We do this by building reliable, scalable services and infrastructure with intuitive UIs and by delivering high-impact, cross-cutting projects that drive the "land and expand" strategy for enterprise customers.

Observability: Provide a world class platform for Databricks engineers to comprehensively observe and introspect their applications and services. We build scalable data-intensive infrastructure that processes huge amounts of logs and telemetry. By doing so, we enable teams to become more data-driven and build robust services.

Service Platform: Build high-quality services and manage the services in all environments in a unified way. We provide engineers libraries, tools, services and guidance to develop reliable, scalable, and secure services. We build a unified platform for engineers to deploy and update their services across different clouds and environments.

Core Infra: Build the core infrastructure that powers Databricks, making it available across all geographic regions and Cloud providers. We build highly available distributed systems, heavily utilizing cloud native projects, contributing back whenever possible. We run thousands of Kubernetes clusters across all regions and orchestrate millions of VMs on a daily basis.

Competencies:

• BS/MS/PhD in Computer Science, or a related field

• 10+ years of production level experience in one of: Java, Scala, C++, or similar language

• Comfortable working towards a multi-year vision with incremental deliverables

• Experience in architecting, developing, deploying, and operating large scale distributed systems

• Experience working on a SaaS platform or with Service-Oriented Architectures

• Good knowledge of SQL

• Experience with software security and systems that handle sensitive data

• Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes

Job Description

We are looking for an experienced Test Engineer to ensure the delivery of high-quality, reliable, and secure software solutions. In this role, you will design and execute test strategies across the development lifecycle, working closely with developers and stakeholders in an Agile environment.

Responsibilities

• Design, develop, and execute test strategies, plans, and test cases across the Agile lifecycle
• Create test cases based on acceptance criteria to ensure features meet quality standards
• Perform both manual and automated testing across functional, integration, system, and UAT stages
• Contribute to test automation and continuous testing initiatives using relevant tools and frameworks
• Identify, document, and track defects through to resolution
• Collaborate with developers to troubleshoot issues and verify fixes
• Work closely with product owners and teams to ensure quality in every sprint
• Support UAT activities including preparation of test evidence and validation
• Maintain proper documentation of test results, logs, and reports
• Produce clear and structured test plans, test cases, and defect reports

Requirements

• Bachelor’s Degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience)
• At least 5 years of experience in software testing or quality assurance within Agile environments
• Strong experience in both manual and automated testing
• Familiarity with testing types including unit, integration, system, and UAT
• Experience with automation tools such as Selenium, Cypress, JUnit, TestNG, or similar
• Understanding of Agile methodologies and CI/CD-based testing practices
• Strong collaboration skills with developers, analysts, and business stakeholders
• Excellent attention to detail in writing test plans, test cases, and defect reports

(EA Reg No: 20C0312)
Please email a copy of your detailed resume to chally@talentsis.com.sg
for immediate processing.
Only shortlisted candidates will be notified.

Your Mission

This position will be responsible for driving strategic direction and operational excellence for our Software Defined Factory (SDF). This is a great opportunity to apply your talent in software QA, testing the CI/CD pipeline and DevOps. The ideal candidate will have strong programming skills in with expertise with modern testing frameworks like Selenium, Playwright, & deep experience with CI/CD pipeline integration.

What To Expect

[Technical DevOps]

• Establish and enforce robust testing frameworks, combining manual and automated testing to ensure product quality, compliance, and reliability.
• Design and develop automated test scripts that validate functionality without manual intervention
• Build and maintain automated test suites using  modern frameworks (Selenium, Playwright etc)
• Execute comprehensive QA tests across databases, networks, applications, systems, & software
• Perform regular automated testing cycles and regression tests as part of CI/CD pipeline processes
• Create test data setup and cleanup scripts for testing environments
• Champion risk-based testing methodologies to proactively identify vulnerabilities, mitigate risks, and prevent defects early in the development cycle.
• Work closely with development, DevOps, and operations teams to integrate testing seamlessly into CI/CD pipelines and across the software development lifecycle (SDLC).

[Process Improvement & Analysis]

• Locate bugs and quality issues across business, development, and service-level IT processes
• Review test results and document any defects found during testing
• Present quality metrics and testing reports to stakeholder teams

[Technical Implementation]

• Drive innovation in QA by implementing AI-driven test automation, predictive analytics, and modern verification strategies to boost testing efficiency and accuracy.
• Define and configure automation tools and frameworks to enhance testing capabilities, maintain and optimize existing tools
• Develop performance and load tests to validate system scalability

[Documentation & Standards]

• Create comprehensive test plans and automation guidelines
• Establish testing best practices across development teams
• Update test documentation to reflect current processes and procedures
• Ensure compliance and security testing requirements are met through automation

[General]

• Work and collaborate with development teams, DevOps team members during agile sprint planning to manage and identify testing QA requirements. 
• Participate in agile ceremonies including stand-ups, retrospectives, and sprint planning
• Coordinate with product owners/end users to validate requirements and acceptance criteria
• Partner with infrastructure teams to optimize test environment management
• Mentor development teams on automation best practices and conduct training sessions

What You'll Bring

• 4+ years of hands-on experience in quality assurance, testing methodologies, and system validation.
• 3+ years experience with CI/CD pipelines and automated testing integration, and testing tools (Jira, and other SaaS products)
• Strong understanding of Agile, DevOps, and CI/CD practices, including test automation frameworks and tools.
• Strong programming skills in Python, Java, JavaScript, or C#
• Experience testing across multiple technology stacks (databases, networks, applications, etc.)
• Familiarity with public cloud platforms (AWS) for development & testing environments
• Experience with modern front end and back end development (React, Angular, Node.js) and/or PTC Thingworx or similar platforms
• Experience designing and architecting cloud-based data pipelines and micro services
• Experience with databases & relational databases (PostgreSQL, MySQL)
• Experience with containerization (Docker) and serverless architecture
• Knowledge of Infrastructure-as-Code (IaC) & Ansible
• Strong knowledge of automation frameworks to enhance development workflows
• Strong understanding of security best practices and testing principles

Overview

We are hiring an Application Engineer for a global leading firm in automation manufacturing industry. This role sits at the intersection of technical support, solution engineering, and customer-facing application work. The ideal candidate will have hands-on exposure to machine vision products, a practical understanding of image processing and automation environments, and the ability to work closely with internal stakeholders and customers throughout the project lifecycle.

Responsibilities

• Work closely with customers to understand application requirements and recommend suitable machine vision solutions
• Provide pre-sales and application support, including feasibility assessment, solution design, and technical discussions
• Support the setup, configuration, testing, commissioning, and troubleshooting of machine vision systems at customer sites
• Collaborate with internal teams such as sales, solution specialists, and service teams to ensure smooth project delivery
• Prepare technical proposals, reports, documentation, and training materials for customers and internal stakeholders
• Conduct customer training, project handovers, and ongoing technical support where required
• Coordinate with external vendors or system integrators when needed
• Provide timely updates on project progress, issues, and resolutions to relevant stakeholders

Requirements

• Degree in Engineering, Computer Science, Computer Engineering, or a related field
• Around 3–5 years of relevant experience in machine vision, industrial automation, or related application engineering work
• Familiarity with machine vision products and practical knowledge of image processing
• Experience or exposure to PLC programming and automation environments
• Ability to review and understand technical specifications, manuals, and related materials
• Hands-on experience with installation, commissioning, testing, and troubleshooting is preferred
• Exposure to tools such as OpenCV, Halcon, or similar image processing platforms will be an advantage
• Basic PC programming knowledge is preferred
• Comfortable working on-site when needed and engaging directly with customers

Job Responsibilities:

• Participate in the initial setup of the technical operations team at the Singapore site and continuously optimize workflows.
• Optimize existing batch record templates based on the equipment characteristics and production processes at the Singapore site to ensure data integrity and operational accuracy.
• Develop a structured training program for local engineers to systematically transfer efficient work practices from the China team, enhancing hands-on skills through mentoring mechanisms.
• Provide end-to-end training for engineers, equipping them with core workflows, including new product introduction, safety assessments, reviewing R&D reports, drafting and executing batch records, issuing blank batch records, training production staff, submitting and tracking equipment upgrades, monitoring material release, and managing change controls.
• Train engineers to proficiently use production systems such as Rocket, Trackwise, MRP, and WMS, enabling independent project management capabilities.
• Design and implement training programs for workshop technicians, integrating production expertise and knowledge from the Changzhou site into localized training materials to ensure standardized operations.
• Coordinate cross-departmental resources to improve project efficiency, promptly resolve complex on-site issues, and ensure production continuity and stability for on-time delivery.
• Engage in client communications and audits, providing closed-loop solutions for technical inquiries.
• Monitor early production phases at the Singapore site, promptly address anomalies, oversee batch record data integrity, and lead deviation investigations and CAPA implementation.
• Draft and optimize production-related documentation to ensure compliance with STA and GMP requirements, emphasizing operability and preventive measures.

Requirements:

• Proficient in reading and writing in both English and Chinese, capable of fluent technical communication with both the local Singapore team and the technical team in China.
• Working experience in CRDMO industry.
• Master’s degree or higher.
• Familiarity with chemical production equipment and process design, with the ability to conduct technical assessments from a production perspective. Expertise in end-to-end process management—from process review and production execution to issue resolution—ensuring efficient and stable project delivery at the Singapore site.
• Proficient in technical operations documentation systems and production tools (e.g., Rocket, MRP, WMS), with training capabilities. Deep understanding of GMP regulations and ability to translate them into executable workflows.
• Strong cross-departmental coordination skills, with experience in resource integration and driving multi-team collaboration for project success.
• Excellent written and spoken English communication skills, capable of drafting documentation and facilitating work discussions.

Job Summary:

Role: Technical Service Engineer

Start: ASAP

Duration: 12 Months

Location: Singapore

We are seeking a proactive and hands-on Technical Services Engineer to support manufacturing production operations by ensuring equipment reliability, minimizing downtime, and driving continuous improvement initiatives. The role focuses on troubleshooting technical issues, improving Overall Equipment Effectiveness (OEE), and maintaining high standards of quality and compliance within a regulated manufacturing environment. The ideal candidate will work closely with cross-functional teams to identify issues, implement effective solutions, and support operational excellence.

Requirements:

- Bachelor’s degree in Mechanical Engineering, Mechatronics Engineering, or related field.

- Strong analytical, troubleshooting, and problem-solving skills.

- Hands-on, proactive approach to equipment and process issues.

- Ability to work in a manufacturing or production environment with cross-functional teams.

- Strong understanding of equipment maintenance and reliability concepts.

- Ability to influence and collaborate effectively across departments.

Roles and Responsibilities:

- Develop, implement, and maintain preventive and corrective maintenance programs to ensure equipment reliability.

- Monitor and improve Overall Equipment Effectiveness (OEE) through continuous improvement initiatives.

- Troubleshoot and resolve equipment and process-related issues to minimize downtime and ensure stable operations.

- Perform root cause analysis (RCA) and implement corrective and preventive actions (CAPA).

- Collaborate with cross-functional teams to drive timely issue resolution and operational improvements.

- Develop, review, and maintain Standard Operating Procedures (SOPs) and technical documentation.

- Ensure compliance with GMP, ISO 13485, and other relevant regulatory requirements.

- Liaise with vendors and equipment manufacturers for technical support, maintenance, and upgrades.

- Support equipment qualification, validation, and improvement projects as required.

- Contribute to continuous improvement initiatives to enhance productivity, quality, and efficiency.

Please send your application highlighting:

- Your relevant experience

- Current/expected salary

- Availability information

- A latest MS-WORD Resume

**We regret that only short-listed applicants will be contacted.**

GECO Asia values the data privacy rights of our customers, associates, partners and prospective applicants. We have a privacy policy that governs our collection and use of personal data in place. In conjunction with the PDPA act in Singapore, we have updated our Privacy Policy and Terms of Use to better clarify our collection and use of your personal information. The same can be found here (https://www.geco.asia/about/privacy-policy)

Note: GECO Asia is an Information Technology Consulting Services provider. We provide specialist IT and Digital Transformation specialist resources on a project (SOW) and/or permanent basis. We operate under a Comprehensive License offered by Ministry of Manpower, Singapore.

[GECO Asia Pte Ltd, License No. 07C4453]

[2 Venture Drive, #10-18 Vision Exchange, Singapore 608526]

Job Description:

The Data Center Engineer will be responsible for overseeing the daily operations of our data center facilities, ensuring optimal performance, reliability, and security. The ideal candidate will have extensive experience managing data center infrastructure, troubleshooting hardware and network issues, and implementing best practices for environmental and power management.

Key Responsibilities:

• Monitor and maintain data center physical and virtual infrastructure to ensure 99.99% uptime.
• Manage power systems, including UPS, generators, and distribution units.
• Maintain environmental controls such as cooling, humidity, fire suppression, and security systems.
• Troubleshoot and resolve hardware, network, and environmental issues promptly.
• Perform routine inspections, preventive maintenance, and upgrades of data center equipment.
• Coordinate with vendors and internal teams for repairs, upgrades, and capacity planning.
• Develop and update documentation related to data center configurations, procedures, and incident reports.
• Ensure compliance with industry standards, security protocols, and regulatory requirements.
• Assist in disaster recovery planning and implementation.
• Support and mentor junior staff members as needed.
• This is a 24/7 shift role.

Requirement:

• Minimum 5 years of experience in data center operations, engineering, or related fields.
• Bachelor’s degree/Diploma in Computer Science, Information Technology, Electrical Engineering, or a related field.
• Strong knowledge of data center infrastructure, including power, cooling, and environmental systems.
• Hands-on experience with server hardware, networking equipment, and data center management tools.
• Certifications such as DCCA, CCNA, CompTIA Server+, or equivalent are preferred.
• Excellent troubleshooting, problem-solving, and communication skills.
• Ability to work under pressure and handle emergency situations effectively.
• Knowledge of industry standards and best practices for data center management.
• Location: Jurong West

Job Description

• Industry/ Organization Type: Manufacturing & Production
• Position Title: Senior Software Engineer
• Working Location: Redhill (Near to the MRT)
• Working Hours: 5 days a week (Flexi Hours)
• Salary Package: Basic Salary + Bonus
• Duration: Permanent

Key Responsibilities

• Design, implement, and maintain middleware components to connect hardware, drivers, and applications using C++ and Qt.
• Use Qt libraries (e.g., QtCore, QtNetwork, QtSerialBus, QtConcurrent) for system and communication services.
• Collaborate with hardware and system teams for smooth integration.
• Debug and resolve software-hardware communication issues.
• Support integration testing, validation, and deployment of middleware components.
• Other tasks as assigned by Management.

APPLY NOW!!!

• 5+ years of software development experience in Electrical/Electronic Engineering.
• Bachelor’s degree in Software Engineering, Computer Science, Electrical Engineering, or a related field.
• Proficient in C, C++, and object-oriented programming.
• Hands-on experience with Qt (QtCore, QtNetwork, QtWidgets, QML).
• Experience in middleware development or system-level programming.
• Strong understanding of Linux systems, shell tools, and debugging.
• Knowledge of hardware-software communication protocols (I2C, SPI, UART, USB, Ethernet).
• Experience with version control and issue tracking tools.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #83870 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Job Overview

We are looking for an experienced Embedded Software Engineer to design, develop, and integrate software solutions for advanced UX products. This role focuses on persistent memory systems, working closely with cross-functional teams to ensure performance, reliability, and scalability.

Key Responsibilities

• Design and develop embedded software solutions for persistent memory management

• Define and implement software architecture and concepts for:

  • Data storage formats

  • Wear leveling and bad block management

  • Data consistency, security, and rollback strategies

• Develop and maintain low-level drivers for eMMC/NAND flash memory

• Optimize memory performance and bandwidth benchmarking strategies

• Collaborate with system architects to analyze requirements and define solutions

• Support root cause analysis for field issues and memory-related failures

• Work closely with hardware, testing, and software teams to validate system reliability

• Contribute to design documentation, code reviews, and quality processes

• Partner with hardware teams on memory portfolio and system integration

Requirements

• Bachelor’s or Master’s Degree in Computer Science, Engineering, or related field

• Strong experience in embedded systems architecture and memory technologies

• Proficiency in C/C++ for embedded development

• Hands-on experience with:

  • eMMC / NAND flash memory

  • File systems and low-level drivers

• Good understanding of:

  • Microcontrollers, SoCs, boot processes, memory controllers

• Experience with embedded development tools (emulators, analyzers, oscilloscopes)

• Strong problem-solving and debugging skills
  

Ankita

EA License Number: 23C2060 Registration ID is R22109715

Disclaimer: The company is committed to ensuring the privacy and security of your information. By submitting this form, you consent to the collection, processing, and retention of the information you provide. The data collected (which may include your contact details, educational background, work experience and skills) will be used solely for the purpose of evaluating your qualifications for the position you're applying for. Your data will be stored securely and retained for the duration necessary to fulfill our hiring process. If you are not selected for the position, your data will be kept on file for a limited period in case future opportunities arise. You have the right to access, correct, or delete your data at any time by contacting us at Quess Singapore | A Leading Staffing Services Provider in Singapore (quesscorp.sg)

This is in partnership with the Employment and Employability Institute Pte Ltd (“e2i”).

e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to Quesscorp Singapore’s PDPA and e2i’s PDPA

Primary Responsibilities

Infrastructure Management

·       Install, configure, maintain and troubleshoot servers, networks, virtualization platforms and IT infrastructure (on-premise and cloud where applicable)

·       Monitor system performance, availability and capacity to ensure services meet agreed service levels

·       Perform ongoing monitoring of system logs, security alerts and performance metrics, and resolve technical issues proactively

·       Participate in capacity planning, system upgrades, infrastructure refresh projects and disaster recovery testing

Security & Backup

·       Test, deploy and maintain security patches and updates for operating systems, servers, network devices and critical systems

·       Support and maintain IT security practices, including endpoint protection, access control, system hardening and vulnerability remediation

·       Maintain and improve backup, disaster recovery and redundancy strategies to ensure business continuity

Cloud & System Improvement

·       Support Microsoft 365 / cloud services administration (where applicable), including user management and system configuration

·       Automate routine operational tasks where possible (e.g. scripting, system housekeeping, monitoring improvements)

·       Evaluate and recommend new technologies and improvements to enhance system performance, security and efficiency

Support & Operations

·       Handle escalated technical support cases and provide root-cause analysis with long-term solutions

·       Liaise and work closely with vendors, internal stakeholders and other IT teams to support technical projects and resolve issues

Documentation & Governance

·       Maintain accurate and up-to-date technical documentation, including infrastructure diagrams, inventory, subscriptions and support contracts

·       Document technical issues, resolutions and best practices to support knowledge sharing within the team

·       Identify and recommend technical solutions that align with business requirements and operational needs

Education and Work requirements:

• Diploma/Degree in Computer Science / IT related discipline with minimum 2 years of hands-on experience in supporting networks, Servers, PCs and OS
• Experience with Windows Servers (2012, 2016)
• Knowledge of infrastructure services and functions (eg. AD, GPO, IIS, DNS, DHCP, File and Print, TCP/IP, LAN and VLAN)
• Experience with virtualization and monitoring systems (eg. VMWare, SD-WAN and Zabbix)
• Hands on knowledge with Fortigate / Fortinet firewall products
• Analytical and problem-solving skills
• Strong customer focus and communication skills
• Strong accountability and sense of responsibility
• Ability to efficiently multi-task and be self-motivated while working with others
• Willing to work outside office hours when necessary
• Knowledge of MS AX, MS SQL, MS Excel VBA, MS Access is an added advantage
• Sound knowledge in Microsoft Dynamics / AX accounting software will be an advantage
• Able to perform under work pressure and deadline

Role responsibilities

• Be part of the team to architect and bring up the new service infrastructure for autonomous prime mover (APM) business.

• Architect and develop large scale IoT system to track live operation data for fleet management to support live fleet operations and monitoring.

• Provide best data model and services for global route optimization, live monitoring, live map update, vehicle configuration, vehicle maintenance.

• Architect and develop other internal serivces to facilating R& D process.

• Bring up universal auth integration and best security practice.

• Provide common client SDK for backend services.

Required experience

• Bachelor’s or master's degree in computer science or related relevant field.

• 5+ years' experience in backend implementation.

• Experience with RESTful API framework in Python, Java, or Golang.

• Experience with high performance backend implementation, profiling, and monitoring.

• Experience with data modeling with relational database and NoSQL database.

• Experience with docker, K8s or other containerization techniques.

• Experienced with cloud services.

• Experience with proper CI/CD setup.

• Excellent communication skills.

Key Responsibilities•

•Carry out scheduled servicing, inspections, and preventive maintenance in accordance withmanufacturer recommendations.

• Diagnose and troubleshoot faults in mechanical, electrical, and control systems, and performnecessary repairs.

• Conduct load bank testing, battery health checks, fuel system inspections, and cooling systemmaintenance.

• Maintain accurate service reports, maintenance logs, and documentation for all activitiesperformed.

• Ensure full compliance with Workplace Safety and Health requirements, environmentalregulations, and company safety procedures.

• Support installation, testing, and commissioning of new generator systems.

• Provide technical guidance and support to technicians and clients on proper generator operationand maintenance practices.

• Monitor system performance and recommend corrective actions, part replacements, or systemupgrades when necessary.

• Attend to emergency breakdowns and perform on-site troubleshooting to minimize downtime.

• Liaise with suppliers and vendors for procurement of spare parts and technical support.

Requirements / Qualifications

• Diploma or Degree in Electrical, Mechanical, or Mechatronics Engineering, or equivalent.

• Good knowledge of generator systems, including engine, alternator, and control panel operations.

• Ability to read and interpret technical drawings, schematics, and wiring diagrams.

• Familiarity with Workplace Safety and Health requirements in Singapore.

• Physically fit and able to work on-site, including generator rooms and outdoor environments.

• Strong troubleshooting skills, attention to detail, and ability to work independently and in a team.

• Willing to be on standby or on-call for emergency response.

• Possession of BCSS certification is an advantage

Key Responsibilities

• Design and develop generator systems and auxiliary components, including control, protection,and monitoring circuits.

• Prepare technical specifications, drawings, and performance requirements.

• Coordinate with procurement and site teams to meet technical and project schedule objectives.

• Support tendering and project execution, ensuring compliance with contractual and safetyrequirements.

• Perform installation, testing, commissioning, and validation of generator systems and control logic.

• Plan, schedule, and oversee preventive and corrective maintenance activities, includingshutdowns and load testing.

• Prepare service quotations and cost estimates for maintenance programs and new installationworks.

• Diagnose and troubleshoot generator and auxiliary system faults, and develop corrective actionplans.

• Provide customer and field service support, including handling cases and coordinating emergencycall-outs.

• Conduct training for service engineers and technicians on operation, maintenance, andtroubleshooting.

• Maintain accurate documentation and reports, ensuring compliance with quality, safety, andenvironmental standards.

Requirements / Qualifications

• Degree or Diploma in Electrical, Mechanical, or Power Engineering.

• Good command of English, both spoken and written.

• Proficient in Microsoft Office applications such as Excel, PowerPoint, and Word.

• Experience in generator systems, power generation, or electrical protection and control systems ispreferred.

• Strong troubleshooting, coordination, and communication skills.

• Ability to work in a fast-paced environment with multiple stakeholders and concurrent tasks.

• Capable of managing multi-party coordination and complex scheduling professionally.

• Willing to support site activities and occasional after-hours service calls

Your Mission

As a Computer Vision Engineer, you will play a pivotal role in designing, implementing, and optimizing computer vision algorithms that are integral to our robotic systems. You will work closely with a multidisciplinary team of engineers and researchers to develop software and in-house core algorithm. This role demands a blend of creativity and technical expertise to tackle challenging problems and contribute to our mission of revolutionizing robotics applications in manufacturing and assembly.

What To Expect

• Design and implement advanced computer vision algorithms for 3D reconstruction, image processing, object detection, recognition, tracking, and scene understanding to enhance the capabilities of our robotic systems.
• Develop robust software solutions that integrate computer vision algorithms into our robotic platforms, ensuring high performance and reliability.
• Collaborate with other engineers and researchers to prototype new concepts and bring innovative technologies from conception to deployment in real-world applications.
• Continuously research and stay updated on the latest advancements in computer vision and machine learning technologies to inform development strategies.
• Optimize existing computer vision algorithms for efficiency, including improving accuracy, reducing computational resources, and achieving real-time performance.
• Conduct rigorous testing and validation of computer vision components to ensure system performance and reliability under diverse and challenging conditions.
• Document software designs, implementation details, and testing protocols to facilitate knowledge sharing and ensure reproducibility.

What You'll Bring

• A Master's or Ph.D. degree in Computer Science, Electrical Engineering, Robotics, or a related field, with more than 5 years of industrial experience focusing on computer vision and robotics.
• Solid foundation in computer vision, image processing (e.g. edge detection, denoising), multiple view geometry, depth estimation, machine learning techniques with proven experience developing and deploying algorithms in real-world applications. Please note that knowledge in deep learning is required but not sufficient.
• Expertise in camera calibration, like camera intrinsic calibration, camera-to-camera calibration and robot-to-camera calibration with proven experience on developing and deploying calibration algorithms.
• Expertise in programming languages such as C++, Python and CUDA, and familiarity with computer vision libraries (e.g., OpenCV, PCL) and machine learning frameworks (e.g., TensorFlow, PyTorch).
• Expertise in calibration and 3D reconstruction (nerf and gaussian).
• Experience with point cloud processing is highly desirable.
• Ability to work effectively in a collaborative team environment and communicate complex technical concepts clearly and concisely.
• Creative problem-solving skills and a passion for innovation in robotics and computer vision technologies.

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

As a software engineer with a backend focus, you will work with your team to build infrastructure and products for the Databricks platform at scale.

The impact you'll have:

Our backend teams span many domains, from our core compute fabric resource management infrastructure, to service platforms, to machine learning infrastructure. For instance, you might work on challenges such as:

• Resource management infrastructure powering the big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud-agnostic way

• Develop reliable, scalable services and client libraries that work with massive amounts of data on the cloud, across geographic regions and Cloud providers

• Build tools to allow Databricks engineers to operate their services across different clouds and environments

• Build services, products and infrastructure at the intersection of machine learning and distributed systems

What we look for:

• BS (or higher) in Computer Science, or a related field

• 5+ years of production level experience in one of: Java, Scala, C++, or similar language.

• Experience developing large-scale distributed systems

• Experience working on a SaaS platform or with Service-Oriented Architectures

• Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes

• Experience with security and systems that handle sensitive data

• Good knowledge of SQL