Total 255 technology development job vacancies in Engineering category

We are seeking a highly skilled Data Engineer to join our team in Singapore. The ideal candidate will have strong expertise in AWS native data services and Databricks with proven experience in designing, building, and optimizing end to end data pipelines. Prior exposure to public sector projects will be considered a significant advantage.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes.
• Implement data solutions leveraging AWS native services (e.g., S3, Glue, Redshift, Athena, EMR, Lambda).
• Build and optimize data workflows using Databricks for advanced analytics and machine learning workloads.
• Apply DevOps practices to automate infrastructure provisioning, CI/CD pipelines, and monitoring of data systems.
• Implement MLOps frameworks to operationalize machine learning models, ensuring reproducibility, scalability, and performance.
• Collaborate with data scientists, analysts, and business stakeholders to deliver reliable and secure data solutions.
• Ensure data quality, governance, and compliance with organizational and regulatory standards.
• Document technical designs, processes, and best practices.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.
• Strong hands-on experience with AWS Data Services (S3, Glue, Redshift, Athena, EMR, Lambda).
• Proficiency in Databricks (PySpark, Delta Lake, MLflow).
• Solid understanding of data modeling, ETL/ELT, and data warehousing concepts.
• Experience with programming languages such as Python, SQL, and Scala.
• Proven experience with DevOps tools (e.g., Docker, Kubernetes, Terraform, Jenkins, GitHub Actions).
• Knowledge of MLOps practices (model deployment, monitoring, retraining pipelines, MLflow, Kubeflow).
• Familiarity with CI/CD pipelines, version control (Git), and cloud-native architectures.
• Strong problem-solving skills and ability to work in cross-functional teams.
• Excellent communication and stakeholder management skills.

Job Responsibilities

• Design, develop and deploy machine learning solutions and services
• Implement end-to-end machine learning pipelines from data ingestion to training and model serving
• Operationalize LLMs, embeddings, and multi-agent systems in real-world applications
• Manage the machine learning and model lifecycle (experimentation, registry, deployment)
• Oversee the model promotion lifecycle, coordinating validation gates and approval workflows to safely deploy new model versions from stating to production
• Containerize applications using Docker and orchestrate them via Kubernetes
• Build and maintain CI/CD pipelines for ML models and LLM applications
• Collaborate with data scientists to refactor research code into production-ready Python code
• Monitor model performance, data drift, and performance in production
• Assess and integrate AI solutions ensuring optimal performance and reliability
• Design and implement production grade RAG systems
• Collaborate with infrastructure teams, data engineers, data scientists, and other stakeholders to integrate machine learning solutions into existing systems and processes
• Participate in code reviews, testing, and debugging to ensure the quality and reliability of machine learning solutions

SKILLS REQUIREMENTS OF THEPOSITION

Competencies

• Strong problem-solving and analytical skills, with the ability to think critically and creatively about complex challenges
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders at all levels of the organization
• Ability to manage personal workloads effectively, to prioritize tasks, manage timelines, and deliver high-quality results on schedule
• Continuous learning mindset, with a passion for staying up to date with the latest advancements in machine learning and artificial intelligence
• Attention to detail and commitment to producing high-quality, reliable, and maintainable code

Education and skills requirements

• Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field
• Advanced proficiency in Python programming with a focus on writing clean, testable and efficient code
• DevOps & Containers: Proficient with Docker for containerization and working knowledge of Kubernetes (k8s) for orchestration
• Practical understanding of GPU architecture and cloud compute instances to optimize resource allocation for training and inference workloads
• MLOPS tools: hands on experience with MLflow (or similar tools like weights & biases) for experiment tracking and model registry
• Proven experience working with Large Language Models (LLMs)
• Good understanding of AI agents & agentic workflows, LLM orchestration frameworks and reasoning patterns
• Experience with data preprocessing, feature engineering, and model selection and evaluation techniques
• Hands-on experience with CI/CD pipelines (GitLab, Jenkins)
• Knowledge of statistical and mathematical concepts relevant to machine learning, such as probability, linear algebra, and optimization
• Excellent problem-solving and debugging skills, with the ability to identify and resolve issues quickly and effectively
• Relevant work experience in machine learning, data science or a related field

Job Description

Key Responsibilities

• Develop and execute complex projects that have a substantial mix of electrical, mechanical, physics, algorithms and software design; attend design reviews and provide input to meet market requirement specifications (MRS) and hardware/software specifications. Ensure designs meet market requirement specifications (MRS). Coordinate with project marketing and management to understand system requirements. Be able to chair architecture brainstorming meetings and drive the systems process to down select to a final architecture of a top-level system.

• Participate in the design, development, and testing of radio-frequency components for semiconductor equipment, which includes high-power generators (up to 6 kW or more), matching networks, filters, or other tuning elements, with frequencies ranging from 300 kHz to 60 MHz.

• Write detailed specifications that cover all aspects of subsystem modules including interfaces to the product by using systems analysis to create a diagram. Create concepts for complex architectural design approaches.  Lead team evaluations of architectures to provide recommendation for best system solution approach.

• Ability to fabricate or modify RF components to change their performance or enable access for instrumentation.

• Ability to instrument, characterize and troubleshoot RF sub-systems within larger semiconductor tool environment.

• Problem identification and troubleshooting a wide range of difficult, complex engineering problems in field of technical expertise, including serviceability and manufacturability.

• Support System Integration during the assembly and final testing of new product designs.

• Interface with other groups to workout design, systems architecture development and integration issues.

• Define all equipment interfaces and systems architecture and ensure they are up to date and documented.

• Work with vendors to develop design requirements and ensure delivery of parts that meet specifications.

Requirements

• PhD/ Master/ Bachelor’s degree in Electrical or Mechanical Engineering with few years of relevant RF experiences

• Understand principles and operation of network analyzers, oscilloscopes, power meters, directional couplers, and other radio-frequency test equipment

• Knowledge of circuit theory and ability to develop analytical models of RF components

• Problem-solving and troubleshooting skills

• Excellent verbal and written communication skills and the ability to interact professionally with a diverse group of internal and external stakeholders

• Self-starting individual, proactive and resourceful

Work Location

• One North

Role Overview

We are seeking a Backend Engineer to design and build scalable, high-performance systems. You will work on core infrastructure, APIs, and distributed services that power critical business functions.

Key Responsibilities

• Design, develop, and maintain backend services using Go or Java
• Build scalable, low-latency, and high-availability systems
• Develop and optimize RESTful / gRPC APIs
• Work with distributed systems, messaging queues, and databases
• Collaborate with product, frontend, and infrastructure teams
• Monitor system performance and troubleshoot production issues

Requirements

• 2–5+ years of backend development experience
• Strong proficiency in Go or Java
• Experience with distributed systems, microservices architecture
• Familiarity with databases (MySQL, PostgreSQL, Redis, etc.)
• Understanding of system design, concurrency, and performance optimization
• Experience with cloud platforms (AWS/GCP/Azure) is a plus

Responsibilities

Product & Business Partnership  

• Co-own problem discovery with Product/Business: translate objectives into well defined, testable problem statements, user journeys, and technical hypotheses.  
• Challenge assumptions and requirements using user insights, data realities, feasibility constraints, and system impact; recommend alternatives when they better achieve outcomes.  
• Define and track success metrics (e.g., adoption, time saved, conversion, accuracy/quality, latency, reliability, cost-to-serve, risk reduction) and drive iteration when targets aren’t met.  
• Communicate clearly with executive, business, and engineering audiences - articulating trade-offs, decisions, and rationale.  

Solution Leadership  

• Lead end-to-end solution for GenAI products: APIs, services, data pipelines, orchestration, LLM integration, retrieval, tool-calling, and UI/UX touchpoints as needed.  
• Make disciplined architectural trade-offs across performance reliability, cost, extensibility, maintainability, and time-to-value.  
• Design for enterprise realities: identity/access, data residency, compliance constraints, multi-environment deployments, and integration with core systems.  
• Drive platform thinking: prioritize reusable components (libraries, templates, shared services) over one-off builds.  

Agentic & Full-Stack GenAI Applications 

• Build and scale agentic GenAI applications that solve multi-step workflows on cloud platforms such as AWS and Azure.  
• Define and implement robust LLM patterns (prompting, RAG, tool orchestration, validation, and evaluation).  
• Implement LLMOps and lifecycle governance for models and prompts, including versioning, evaluation and monitoring.  
• Ensure solutions meet enterprise standards for quality, reliability, latency, and cost.  
• Embed Responsible AI, security, and compliance by design, partnering with Risk, Legal, and Security.  

Engineering Excellence & DevOps  

• Provide hands-on leadership across the SDLC: design reviews, coding standards, testing strategy, code reviews, security reviews, and operational readiness.  
• Establish robust CI/CD and standardized environments for services and AI components utilizing cloud services.  
• Ensure operational excellence through observability, incident management, reliability practices, and cost optimization.

Required Knowledge:

• Proven track record in designing and building GenAI solutions, with a strong expertise in prompt engineering, LlamaIndex, Langchain, RAG, Agentic AI workflow,
• Knowledge graph, AI red teaming libraries, LLM monitoring and evaluation.  
• Over 7+ years of experience in the software development lifecycle as a developer, with a focus on writing production code.  
• Must have hands-on experience working with software development toolkits, and devOps automation like Kubernetes, Airflow, Jenkins, Jira, Confluence and Git.  
• Excellent programming skills in Python and proficiency in PySpark.  
• Experience in DataBricks, AWS bedrock, Microsoft Copilot Studio and Azure ML.  
• Strong leadership skill with ability to influence the thought process and drive alignment.  
• Excellent communication skills and a demonstrated ability to collaborate effectively with cross-functional teams.  
• Self-motivated and highly driven individual who can thrive in ambiguous requirements.

Responsibilities:

• To perform engineer’s role on method statement, implement cost & time efficiency on operation
• To checking plans, drawings and quantities for accuracy of calculations
• To supervise site works compliances and inspection requirement
• To carry out daily site supervision, coordination and quality assurance of all trades implementation on site
• To work closely with sub-contractors on project progress and ensure timely work arrangements
• To scheduling materials and equipment purchases and deliveries
• To liaise with consultant and carry out site inspection
• Attend all site's meeting on work progression
• To prepare monthly meeting progression report

Requirements:

• Possess Degree in Civil Engineering
• 3 years working experience in Construction
• Able to work independently
• Have positive attitude

Job Summary

You will lead the coordination and supervision of Mechanical and Electrical (M&E) works, ensuring compliance with standards and safety regulations while driving project planning, design, and cost control to deliver successful outcomes.

Responsibilities

• Analyze project specifications and resolve technical clarifications to ensure accurate execution
• Develop detailed method statements and identify drawing discrepancies to support project accuracy
• Plan project activities, manage material requisition, control costs, and document progress to meet project objectives
• Supervise M&E works and collaborate with client representatives, consultants, and sub-contractors to resolve technical issues
• Coordinate with other trades to maintain seamless workflow and timely project delivery
• Enforce compliance of all M&E works with applicable standards, codes of practice, and safety regulations
• Participate actively in project meetings to communicate progress and address challenges
• Manage temporary M&E installations such as site offices, trial holes, and temporary power supplies to support project needs
• Execute additional duties as assigned by Management to support project success

Preferred competencies and qualifications

• Diploma or Degree in Mechanical or Electrical Engineering or equivalent
• Minimum 5 years of experience in M&E coordination to effectively manage complex projects
• Proficiency in AutoCAD and Revit to produce and review technical drawings
• Strong communication skills and demonstrated ability to work independently
• Experience with condominium projects is advantageous

Experience in ASIC verification, Expertise in System Verilog and UVM, Verilog.

·        Experience in IP level verification, testbench architecture development, Testbench component developments. Expertise in coverage closer, code coverage, functional coverage Experience in Gate level simulations.

·        The candidate should be able to define verification plan, create testbenches, testcases,gate level simulations etc independently.

·        Knowledge on serial protocols UFS, PCIe, USB, MIPI or any other serial protocol. Knowledge on memory protocols - AXI, PCIE, UFS and Flash etc.

·        Knowledge on scripting languages like Python, Perl etc.

·        Keen on continuous process improvement to improve Quality and time

Location:  Singapore (with 6 months on-job training inSuzhou, China) 

Employment Type:  Full-time, Permanent

 ProgramOverview

We are offering a unique opportunity forfresh graduates to kick-start their careers in a dynamic, high-technologyenvironment. Selected candidates will undergo a structured 6-month on-jobtraining at our state-of-the-art facility in Suzhou, China, where you will gainhands-on experience in cutting-edge analytical techniques, laboratoryoperations, and customer project management. Upon successful completion of thetraining, you will return to our Singapore site to contribute directly to ourlocal operations and grow with a global team.

Key Responsibilities

- Participate in a comprehensive trainingprogram covering advanced failure analysis, materials characterization, andsemiconductor testing methodologies.

- Operate and maintain sophisticatedanalytical instruments under the guidance of experienced mentors.

- Support engineering teams introubleshooting, data analysis, and report preparation.

- Collaborate with cross-functional teamsto deliver high-quality technical services to customers.

- Upon return to Singapore, apply acquiredskills to support local projects and contribute to continuous improvementinitiatives.

Requirements

- Fresh graduate or recent graduate with aDiploma or Bachelor/Master/PhD Degree in Engineering (preferably Mechanical,Electrical, Electronics, Materials, or a related discipline).

- Strong interest in the semiconductor andhigh-tech manufacturing sectors.

- Willingness to relocate to Suzhou, Chinafor 6 months of intensive on-job training.

- Adaptable, self-motivated, and eager tolearn in a fast-paced environment.

- Good communication and teamwork skills.

- Proficiency in English is required; basicMandarin is an advantage for integration during the training period.

What We Offer

- A structured training program designed tobuild deep technical expertise and industry knowledge.

- Opportunities to work with leading-edgetechnologies and global industry experts.

- Competitive remuneration and benefitspackage.

- A clear career development pathway withina growing international organization.

- Support for work pass applications andrelocation arrangements for the training period.

The SoC Development team is seeking highly motivated engineers to join a team of experienced engineers working on the development of controller SoCs.

As a Verification Engineer in SoC Development Team, you will develop test-plans and tests for use in testing complex hardware in System On Chip (SoC) ASIC’s.  Your work will enable industry-leading data storage control SoC’s that get deployed into high volume consumer and enterprise products.

The growing diversity of data creates an exponential number of new possibilities – for the world, our company and you. You’ll be part of a team driving the innovations necessary to outpace new demands and challenges everywhere data lives, from sensors to mobile devices to the cloud. We’ve only started to scratch the surface of what data can do. You can help unlock its full potential.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Responsible for driving verification strategy, creating Test Plans, and developing Test Benches for SoC.
• Collaborate with architects, designers,  pre-and post-silicon verification teams to develop test plans
• Responsible to develop C-based tests on SoC. Processor knowledge is a plus.
• Define and meet all functional coverage goals
• Run and debug gate-level simulations 
• Understanding and generation of functional patterns for ATE

SoC Verification Engineer

The SoC Development team at Sandisk is seeking highly motivated SoC Verification Engineers to join our talented team, working on cutting-edge controller development for high-performance SoCs used in industry-leading products.

Role & Responsibilities:

As a SoC Verification Engineer, you will play a key role in ensuring the quality and reliability of our SoC designs. You will be responsible for:

• Developing verification test plans based on design specifications.
• Creating and executing test cases across multiple platforms, including RTL simulation, FPGA prototyping, and Palladium emulation.
• Verification test structures (DFx Verification)
• Performing Gate-Level Simulations (GLS) and debugging complex SoC designs.
• Collaborating with design, architecture, and firmware teams to define verification strategies and drive coverage-driven verification methodologies.
• Contributing to the development of advanced verification environments, including UVM, PSS testbenches.
• Analyzing functional coverage and simulation results to enhance verification efficiency and effectiveness.
• Genrating Fucntional patterns required for Wafer Sorting. 

Why Join Us?

At Sandisk, you’ll be part of a team of highly skilled engineers solving complex verification challenges and driving innovations in data storage solutions. Your work will directly impact the performance and reliability of high-volume new age data solutions, consumer and enterprise products.

Together, we’ll push the boundaries of technology, unlock the full potential of data, and shape the future of storage solutions.

The SoC Development team is seeking highly motivated engineers to join a team of experienced engineers working on the development of advanced controller SoCs.

As a Technologist Verification Engineer in the SoC Development Team, you will be responsible for planning, architecting, and executing verification strategies to validate complex hardware in System-on-Chip (SoC) ASICs. Your work will enable industry-leading data storage control SoCs deployed into high-volume consumer and enterprise products.

The growing diversity of data creates an exponential number of new possibilities – for the world, our company, and you. You’ll be part of a team driving the innovations necessary to outpace new demands and challenges everywhere data lives, from sensors to mobile devices to the cloud. We’ve only started to scratch the surface of what data can do. You can help unlock its full potential.

Essential Duties and Responsibilities

• Ownership: End-to-end ownership of one or more subsystems or SoC verification flows, including planning, execution, and closure
• Mentorship: Experience mentoring junior and mid-level engineers, reviewing their test plans, code, and coverage.
• Define verification strategy, create detailed test plans, and develop robust test benches for SoC verification.
• Collaborate with architects, RTL designers, and pre- and post-silicon verification teams to ensure end-to-end verification coverage.
• Develop and run UVM/SystemVerilog-based verification environments.
• Write, run, and debug C-based tests on SoCs; processor and embedded software knowledge is a must.
• Define and achieve functional and code coverage goals; track and close coverage gaps.
• Run, debug, and sign off gate-level simulations with SDF annotation.
• Develop and validate functional patterns for ATE (Automatic Test Equipment).
• Debug complex issues across multiple domains (digital logic, firmware, timing, DFT).
• Participate in IP and subsystem-level integration verification and ensure smooth transition to SoC-level verification.
• Support low-power verification using UPF and ensure power intent validation.
• Automate regression setup, execution, and result analysis using scripting languages (Python, Perl, TCL, etc.).
• Contribute to verification methodology improvements, reusable environments, and verification infrastructure scalability.
• Work closely with validation and bring-up teams to ensure test portability from pre-silicon to post-silicon.

As a SoC Validation/Verification Engineer, you will play a key role in ensuring the quality and reliability of our SoC designs. You will be responsible for:

• Understanding complex ASIC specifications to create comprehensive Verification/Validation plans for both pre- and post-silicon validation.
• Independently developing and executing tests for verification and validation.
• Collaborating with cross-functional teams to drive closure of verification and validation activities.
• Signing off on verification and validation deliverables.
• Debugging and root cause analysis of issues found during validation.
• Developing and maintaining automated test environments and regression suites.
• Contributing to the continuous improvement of verification methodologies and best practices.

Your work will enable industry-leading data storage control SoCs that are deployed in high-volume consumer and enterprise products.

Why Join Us?

At SanDisk, you’ll be part of a team of highly skilled engineers solving complex verification challenges and driving innovation in data storage solutions. Your work will directly impact the performance and reliability of next-generation data solutions for both consumer and enterprise markets.

Together, we’ll push the boundaries of technology, unlock the full potential of data, and shape the future of storage solutions.

Key responsibilities and duties include:  

• Develop and optimize advanced packaging equipment for technology enablement, including wafer-level packaging and stacking  

• Focus on improving equipment capability, enabling process improvements, reducing costs, and enhancing productivity

• Establish and improve equipment management projects to deliver tech node requirements  

• Evaluate and promote new equipment and materials to enhance process capabilities  

• Establish hardware strategic roadmaps for 5+ years in post probe wafer and die processing  

• Developing wafer and assembly equipment to meet the physical and electrical requirements of Micron’s products. cost, availability, and improve hardware and process capability

• Ensure defense coverage through process, measurement, inspection, and testing  

• Establish correlations between defense mechanisms to identify improvement opportunities  

• Conduct continuous data analysis to establish advanced controls and identify improvement opportunities with SMAI team

• Good knowledge of Wafer Fab Manufacturing system, eg: MES, ETO, Autoshell and E3 FDC is preferred

• Develop hardware roadmaps for 5+ years in post probe wafer and die processing process area

• Collaborating with process development teams to develop innovative new solutions.

• Performing fundamental research to drive innovative solutions for next-generation equipment products.

• Work closely with internal and external partners to build and execute technology development strategies aligned with organizational and business objectives  

• Lead the equipment team to work closely with various teams, including the Package Integration, PWF/Assembly Engineering, Front End Wafer Fab, Assembly/Test Engineering, Product Engineering, and Global Quality, to integrate manufacturing processes for optimal performance and quality control  

• Lead and ensure smooth transition from new product development, qualification, small volume production to high volume production  

• Constructs forecasts, proposals and strategic/tactical plans based on business data and market intelligence

Education and Experience.

• B.S/M.S./Ph. D. (or equivalent education) in Materials Science, Chemical Engineering, Electrical Engineering, Mechanical Engineering, Physics, or other related technical fields.

• 5 or more years of semiconductor process or equipment engineering experience, preferably in wafer bonding, plating, warpage control and packaging field stacking process equipment TC bonder/ Hybrid Bonder

• Proficiency in Python, R, SQL for statistical analysis, process modeling, and data analytics is preferred

• Experience with Visual Basic for automation and tool integration. 

• Familiarity with E3, FDC (Fault Detection and Classification), and RMS (Recipe Management System) for equipment and process control.

• Strong data analytics capabilities to support SPC, DOE, defect analysis, and dashboarding

• Experience in equipment development with fundamental understanding to execute to improve equipment maturity for First of a Kind (FOAK) hardware  

• Experience in wafer bonding, plating, warpage control and packaging process development and understanding of related inline/electrical/probe failure

• Knowledge of semiconductor processing, solid-state device physics desirable

• Consistent track record to solve problems and address root causes 

About Micron Technology, Inc.

We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience.

To learn more, please visit micron.com/careers

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.

AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.   

Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

Oversees the installation, modification, upgrade and maintenance of manufacturing equipment. Maintains current records on equipment manufacturers’ technical notices, upgrades and safety issues. Studies equipment performance and reliability. Establishes programs and solutions for increasing uptime and for equipment problems that affect the manufacturing process. Provides technical support to the manufacturing equipment repair and process engineering organizations. Defines and writes preventative maintenance schedules.

Summary:

• MNC

• Monday to Friday, 8.30am - 5.30pm

• UP$3400-$4600

• AWS+VB

• Pioneer Cres, company transport provided island-wide

Responsibilities:

• Supervise and lead a team of Engineering Assistant and Technicians

• Summarize reliability testing results and correlate with head/media design data

• Improve current test methodology to meet customers' new requirements

• Perform failure analysis on post-tested head and media

• Develop new setups and new methodology to test head media interference reliability

• Ensure compliance to ISO Standard Operating Procedures
  
  

Requirements:

• Bachelor's Degree in Computer Science, Data Science, Science/Engineering field or equivalent

• Possessing data analytics or machine learning experience will be of advantage

• Proficiency in Python and standard data science libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow, Keras)

• Working knowledge of SQL and relational databases (e.g., PostgreSQL, Oracle) will be preferred
  
  

Please submit your updated resume in MS Word format by clicking the QUICK APPLY button.

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