Total 2,468 Senior Executive technical engineer job vacancies

Job Description

• Industry/ Organization Type: Manufacturer for Semi-Con Industry
• Position Title: Sales Application Engineer / Executive – Metal Cutting Tools
• Working Location: Seletar (Islandwide)
• Working Hours: 5 days (Mon-Fri: 8am-5.30pm)
• Salary Package: Basic + VB
• Duration: Permanent

Key Responsibilities

• Understand customer needs and recommend suitable products based on their applications
• Provide technical advice on metal cutting tools such as inserts, end mills, drills, and taps
• Build and maintain strong relationships with customers, including manufacturers and suppliers
• Keep updated on product features, specifications, and applications
• Analyse customer requirements and suggest suitable cutting tool solutions
• Prepare technical proposals and quotations

APPLY NOW!!!

• Minimum Higher Nitec or Diploma in Mechanical Engineering, Manufacturing Engineering, CNC Machining, or related field
• At least 2–3 years of experience in technical sales or engineering, preferably in manufacturing or related industries
• Good understanding of metal cutting tools and their applications
• Knowledge of tool materials and coatings is an advantage
• Strong communication skills with the ability to explain technical concepts clearly
• Good problem-solving skills and ability to provide effective solutions

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 #84231 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 | Rachael Lee | EA Reg No.: R2093131

Product area

Android is Google’s mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. We believe computing is a super power for good, enabling access to information, economic opportunity, productivity, connectivity between friends and family and more. We think everyone in the world should have access to the best computing has to offer. We provide the platform for original equipment manufacturers (OEMs) and developers to build compelling computing devices (smartphones, tablets, TVs, wearables, etc) that run the best apps/services for everyone in the world.

Job description

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Additional job description

Our team's mission is protecting billions of Android users from abusive apps, including malware, content abuse, impersonation, and behavioral abuse. We develop products and services to ensure a safe and high quality experience for users of Android apps across the Android ecosystem. We also protect Google's brand and business. Our work spans our production infrastructure and novel research (publishing in security conferences). Our efforts sit in the areas such as supervised/unsupervised ML and generative AI for detecting content, privacy, and security violations, static program analysis of multiple languages used by Android apps, dynamic program analysis on secure environments in both real devices and Virtual Machines (VMs), enhancing and automating reverse-engineering and threat mitigation, and agentic AI threat models and defense.

Qualifications

Job responsibilities

• Develop and scale virtualized and physical device-based analysis platforms for large-scale app execution and monitoring.
• Write system-level code to perform deep inspection and instrumentation of apps while defeating evasion techniques.
• Lead design reviews and collaborate with cross-functional stakeholders to architect defense strategies for agentic AI threat models.
• Triage and resolve complex system issues by analyzing impacts on hardware, network, and service quality.

Minimum qualifications

• Bachelor's degree in Computer Science, or a related technical field, or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
  

Preferred qualifications

• Master's degree or PhD in Computer Science, or a related technical field.
• Experience with data structures and algorithms.
• Experience in Android system/app development and app dynamic analysis.
• Experience in network infrastructure, including implementing monitoring features that support different protocols.
• Experience working in the area of security, privacy, and cloud/virtual machine technologies.
• Familiarity with AI/ML understanding or agent-powered systems and their associated safety threats.

We are seeking an innovative and technically skilled researcher to join our team, specializing in adaptive machining. is a key technology for generative and regenerative applications at the heart of ARTC’s remanufacturing and manufacturing research. We are looking for people with the passion and drive to join us as part of the Remanufacturing Process Technology (RPT) Group. The scope of the role will be to work on research in advancing machining technologies by integrating adaptive techniques, leveraging knowledge in CNC machining, CAD/CAM programming, software development, and basic Artificial Intelligence (AI) concepts. This role provides an exciting opportunity to contribute to cutting-edge research aimed at improving efficiency, precision, and sustainability in machining processes.

Responsibilities:

• Perform research, conduct experimental work and analysis in a project-based environment
• Lead / Support the technical execution and delivery of projects, including project scoping activities and industrial customer engagement as well as capability development in line with the technical roadmap of the Group and Division, fostering collaboration with other teams / groups / research entities as needed
• Conduct research on adaptive machining techniques, including automated decision-making systems, dynamic process adjustments, toolpath optimization, scanning and data gathering technologies, and machine to machine communication.
• Algorithm Development: Design, develop, and implement algorithms for 3D data analysis for feature recognition and machining strategy selection for automatic tool path generation, and adaptive machining. Collaborate with cross-functional teams to integrate these algorithms into existing machining systems.
• Data Analysis: Analyse large datasets generated from machining operations to identify patterns, anomalies, and optimization opportunities. Develop predictive models to optimize machining parameters and improve overall efficiency.
• Documentation and Reporting: Prepare technical reports, documentation, and presentations to communicate research findings, project progress, and recommendations to stakeholders. Publish research papers in relevant journals and present findings at conferences and seminars.
• Technical Innovation Culture: Mentor and coach interns, fostering a culture of technical innovation and excellence.
• Any other ad-hoc work for the team, Group, Organisation and A*STAR with possible secondary roles

Job Requirements:

• At least a Bachelor’s Degree in in Mechanical Engineering, Manufacturing Engineering, Computer Science, or a related field.
• Prior experience of CNC machining, familiarity with machining processes and equipment, knowledge of machine communication (OPC-UA, TCP/IP) is advantageous.
• Proficiency in CAD/CAM/CAE software, preferably in Siemens NX / Solidworks / PowerMill
• Proficiency and/or knowledge in programming languages such as Python, VB.Net, C#, C++, MatLab, etc.
• Preferably with experience working in an industry-driven R&D environment
• Fluency in English with good written, spoken and comprehension skills
• Ability to communicate, interact and work professionally in a collaborative environment as a team player
• Ability to work in a dynamic fast-paced environment in an agile manner to adapt to fast-changing requirements of internal and external stakeholders
• Ability to think critically and is problem-solving oriented
• Ability to work effectively and independently
• Ability to demonstrate high level of initiative to learn and adapt new technologies to stay relevant

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

About Company

Founded in 2022, XG Tech is driving the future of smart vehicles. Its mission is to empower the digital transformation of automobiles, moving from distributed computing to a centralized, cross-domain platform.

XG Tech focuses on the intelligent cockpit—the next frontier of differentiation—while seamlessly integrating advanced driving systems. By reimagining cars as mobile living spaces, XG Tech aligns with the evolving trend of vehicles becoming the “third living space.”

Role Summary

As an R&D Engineer (Multimodal AI Agents), you will lead the development of next-generation AI agents capable of perceiving, reasoning, and acting within real-world graphical user interfaces. You will work at the intersection of Computer Vision, Natural Language Processing, and Reinforcement Learning to transform cutting-edge research into scalable, production-ready systems for Android and cross-platform environments.

Key Responsibilities

• Design, train, and optimize Large Multimodal Models (LMMs) for GUI understanding, including screen parsing, grounding, and action prediction
• Build end-to-end agent pipelines covering perception, planning, reasoning, and execution loops across dynamic UI environments
• Track, reproduce, and improve cutting-edge research in GUI agents (e.g., DroidRun, Surfer, AutoGLM) and adapt them to real-world use cases
• Develop robust evaluation frameworks to measure agent performance, reliability, and safety in complex software environments
• Translate research concepts into working prototypes and production-ready systems with strong engineering rigor
• Contribute to patents, technical publications, and internal knowledge building aligned with company innovation goals

How will you stand out:

• Master’s or PhD in Computer Science, Artificial Intelligence, Robotics, or a related field
• Demonstrated research or technical impact through publications, open-source contributions, or significant projects -- (Please include a link to your Google Scholar profile or portfolio in your application)
• Proficiency in Python, with experience in large-scale model training, data processing, and system implementation
• Solid understanding of Vision-Language Models, Transformer architectures, or multimodal learning systems
• Familiar with agent optimization or training techniques, such as Reinforcement Learning (e.g., PPO, RLHF) and agent evaluation frameworks or benchmarking environments
• Experience in UI understanding tasks, such as object detection and OCR
• Proficiency with deep learning frameworks such as PyTorch or JAX

XG Tech is committed to providing equal employment opportunities by country, state, and local laws. XG Tech does not discriminate against employees or applicants based on conditions such as race, color, gender identity and/or expression, sexual orientation, marital and/or parental status, religion, political opinion, nationality, ethnic background or social origin, social status, disability, age, indigenous status, and union.

Our vision is to transform how the world uses information to enrich life for all.  
 
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. 

As part of the HIG HBM Product Engineering organization, you will help drive the development of next-generation GenAI, machine learning, and advanced data analytics solutions for semiconductor engineering. In this role, you will work on intelligent systems that improve engineering productivity, strengthen technical decision-making, and unlock insights from complex manufacturing, validation, and engineering workflows. 

You will collaborate with cross-functional teams across Product Engineering, Design Engineering, System Engineering, Data Science, IT, and Manufacturing to prototype, build, and scale practical AI-driven solutions that improve quality, cost, cycle time, and engineering efficiency. 

Key Responsibilities 

• GenAI System Development: Design, build, and improve GenAI-powered and agentic systems supporting semiconductor engineering workflows such as code generation, data extraction, analytics, documentation automation, failure triage, and technical knowledge retrieval.  

• Large-Scale Data Pipelines: Develop scalable data pipelines and analytical workflows to ingest, clean, transform, and analyze large, complex, and heterogeneous datasets from multiple manufacturing and engineering systems.  

• Advanced Data Analytics: Apply Python, SQL, and data science libraries (e.g., pandas, matplotlib) to perform deep analysis, generate visualizations, and deliver actionable engineering insights.  

• LLM Workflow Engineering: Build, evaluate, and optimize LLM-based workflows, including prompting, retrieval-augmented generation (RAG), inference orchestration, benchmarking, and quality evaluation.  

• Machine Learning Production: Develop and productionize machine learning and deep learning models for classification, regression, anomaly detection, failure analysis, and engineering decision support.  

• Distributed Data Processing: Implement robust data processing techniques such as data cleansing, outlier detection, and missing-data handling using distributed or large-scale frameworks (e.g., PySpark, BigQuery).  

• Cross-Functional Collaboration: Partner with domain experts and cross-functional teams to translate complex engineering problems into scalable AI/ML and analytics solutions.  

• Production Deployment: Support deployment, monitoring, and operationalization of AI/ML solutions in cloud and enterprise environments.  

• Technical Communication: Communicate technical findings, recommendations, and model outcomes clearly to both technical and non-technical stakeholders.  

• Innovation Leadership: Identify and drive high-impact opportunities where GenAI, machine learning, and analytics can improve engineering productivity and business outcomes. 

Minimum Qualifications 

• Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, Data Science, Statistics, Artificial Intelligence, or a related field. 

• Minimum 2 years of hands-on experience developing and deploying AI applications in semiconductors, electronics, or other engineering industries. 

• Strong programming proficiency in Python and SQL.  

• Strong technical foundation in data analytics and visualization, including tools and libraries such as pandas, scikit-learn, matplotlib, plotly, or similar ecosystems.  

• Familiarity with agentic AI frameworks such as LangGraph, Google ADK, AutoGen and evaluation tools like AgentEval. 

• Familiarity with modern AI coding tools / agentic coding harnesses, such as Claude Code, Roo Code, Cursor, Cline, Windsurf, Gemini CLI, or similar tools.  

• Hands-on experience developing and deploying AI/ML systems involving LLMs, including RAG, agentic workflows, and frameworks such as PyTorch or TensorFlow. 

• Cloud experience with GCP, AWS, or Azure, including deploying ML pipelines in production. 

• Experience with LLM training, inference, and evaluation workflows, including prompt design, benchmarking, validation, or retrieval-augmented systems.  

• Experience analyzing large, complex, and heterogeneous datasets from multiple systems and applying sound techniques for data cleansing, outlier handling, and missing-data treatment.  

• Strong analytical, problem-solving, and software development skills.  

• Strong communication skills with the ability to explain technical concepts and findings effectively.  

• Strong sense of ownership, accountability, and engineering rigor. 

Preferred Qualifications 

• Experience building agentic systems or AI solutions for semiconductor manufacturing, product engineering, validation, yield improvement, reliability, or failure analysis. 

• Deep understanding of semiconductor-specific AI/ML applications 

• Demonstrated understanding of deep learning architectures and computer vision.  

• Experience using enterprise data platforms such as BigQuery, Snowflake, MSSQL, Oracle, or Redshift. 

• Experience with Kubernetes or similar production infrastructure and deployment frameworks. 

• Experience with web application technologies such as JavaScript, HTML, and CSS.  

• Experience designing scalable, enterprise-grade AI/ML systems with attention to reliability, traceability, and operational readiness. 

• Familiarity with document-processing pipelines, technical knowledge platforms, or retrieval systems for engineering content. 

• Experience working in cross-functional environments spanning engineering, manufacturing, data science, and IT. 

Our client is a well-established A1 main contractor known for its strong track record in delivering high-profile mixed-use, commercial, residential, and large-scale building projects across Singapore. With a robust pipeline of upcoming developments, including iconic projects, they are actively seeking to hire multiple Project Engineers/Senior Project/Site Engineers at an exciting phase of their growth.

There are opportunities for both building and infrastructure projects islandwide.

What you will do

• Support the Project Manager in planning, coordinating, and executing on-site project activities.
• Attend site meetings, inspections, and monitoring sessions, providing updates on work progress.
• Work closely with architects, consultants, and stakeholders to ensure adherence to technical drawings and specifications.
• Oversee daily construction operations and ensure compliance with health, safety, and regulatory requirements.
• Coordinate site logistics, including material deliveries and equipment allocation, to maintain efficient workflow.
• Assist in tracking project budgets and monitoring cost-related matters.
• Help resolve site issues or delays by proposing practical corrective actions.
• Supervise subcontractors to ensure productivity, workmanship quality, and compliance with project requirements.

What you will need

• Degree/diploma in Civil Engineering, Construction Management, or related field
• Minimum 3 years of relevant experience as site/project engineer
• Candidate with more experience can be considered for the Senior position

Location: South

Interested candidates kindly forward your CV to yiling.tan@peoplesearch.jobs (Tan Yi Ling, Reg No: R21103172). You may share this opportunity to someone who would be a great fit for this role.

All information will be kept strictly confidential. We regret to inform that only successful applicants will be contacted.

PeopleSearch Pte Ltd

EA License No: 16S8057

Responsibilities:

• Responsible for preventive maintenance, breakdown maintenance, fault investigation, isolation and rectification of Electrical equipment in the plant area as designated by the Asset Lead.
• Oversee all maintenance activities of Engineers, Principal/Senior Technical Officers, Technical Officers, Technicians.
• Possess diagnostic and trouble-shooting skills.
• Obtain Permit-To-Work and ensure proper & safe equipment isolation for maintenance work.
• Co-ordinate with other maintenance sections in maintenance and project works.
• Procurement of spare parts, equipment and establish service contracts with external firms to meet maintenance requirements.
• Study and review existing Electrical systems and upgrade equipment/systems where possible to improve reliability and efficiency of the plants.
• Review, check and evaluate specifications, engineering drawing and design concept of new plant and equipment. Ensure proper installation of systems in accordance with contract specifications

Requirements:

• Degree in Electrical Engineering
• At least 5 years of Electrical Maintenance experience in Power Plant
• Senior Engineer / Engineer roles available

Account Manager:
Kerwin Tan Kai Bin (R1331624)
kerwin.tan@searchasia.com.sg
EA16S8107

• Collaborate as project team member on Software design matters.
• Capture and evaluate customer, internal requirements and vehicle specific interface requirements. Identify suitable concept in terms of functional, technological and effort.
• Adhere to Bosch Software Engineering Process as e.g.:-
  • Perform requirement reviews, design reviews and code reviews.
  • Perform unit testing and release of the software according to SW release process.
• Develop the SW design taking into consideration the dependencies to other module and integration into the overall system.
• SW programming using both standard and proprietary software tools and libraries.
• Create SW test specifications and protocols, if necessary develop test SW. Executes test plans to ensure new software meets specifications, functionalities and performance requirements.
• Analyze failure log, clarify system problems and resolve design issues.
• Develop and produce technical reports, design analysis and documentation in support of designs.
• Assist Manufacturing in troubleshooting manufacturing related problems.
• Provide post-production support.

Key Responsibilities

Site Reliability & Operations

• Manage and improve the reliability, availability, and operational excellence of the SHIP-HATS platform
• Define, monitor, and maintain Service Level Objectives (SLOs) and Service Level Indicators (SLIs)
• Lead incident management, troubleshooting, root cause analysis, and post-mortem reviews
• Drive continuous improvements to reduce operational toil and prevent recurring incidents
• Perform capacity planning, performance tuning, and system optimisation

Observability & Monitoring

• Design and implement observability solutions across logging, metrics, and distributed tracing
• Build dashboards, alerts, and monitoring strategies to provide deep visibility into platform health
• Manage and maintain monitoring stacks such as Prometheus, Grafana, ELK, or equivalent tools

Infrastructure & Automation

• Develop and maintain Infrastructure-as-Code (IaC) solutions using tools such as Terraform or Ansible
• Automate infrastructure provisioning, deployment, and operational workflows
• Support both cloud and on-premises infrastructure environments
• Contribute to CI/CD pipeline improvements and platform automation initiatives

Collaboration & Engineering Excellence

• Work closely with engineering and product teams to embed reliability and operability practices into the software development lifecycle
• Review system architectures and recommend reliability, scalability, and resilience improvements
• Advocate for DevSecOps, automation, and operational best practices across teams

Requirements

• Degree in Computer Science, Information Technology, Engineering, or related disciplines
• Hands-on experience with Kubernetes and container orchestration platforms
• Experience with CI/CD and DevSecOps tools such as GitLab, Jira, Confluence, Fortify, or similar platforms
• Proficiency in at least one scripting or programming language such as Python, Go, or Bash
• Experience with Infrastructure-as-Code tools such as Terraform or Ansible
• Familiarity with cloud platforms such as AWS, Azure, or GCP
• Experience implementing and managing observability and monitoring solutions such as ELK Stack, Prometheus, or Grafana
• Good understanding of networking, system reliability, security hardening, and operational best practices
• Strong analytical, troubleshooting, and problem-solving skills
• Ability to work effectively in Agile and cross-functional environments
• Good communication and stakeholder management skills

Good to Have

• Experience with GitOps workflows and service mesh technologies such as Istio
• Familiarity with secrets management tools such as HashiCorp Vault
• Exposure to government ICT standards, IM8 policies, or regulated environments
• AI-native mindset and software engineering capabilities
• Experience supporting large-scale enterprise or public sector platforms

The Senior System Engineer serves as the senior technical authority within the Service Delivery organization. This hands-on leadership role is responsible for end-to-end system architecture, technical design, and execution across complex, large-scale deployments. You will define technical strategy, ensure delivery excellence, mentor engineers, and act as the top-level escalation point for critical incidents. Working closely with the PMO and cross-functional teams, you will safeguard delivery integrity, enforce technical standards, and ensure all projects meet performance, security, and compliance requirements.

Key Responsibilities

• Lead solution architecture and design for multi-site, geo-redundant systems. Develop High-Level and Low-Level Designs (HLD/LLD) and validate Detailed-Level Designs (DLD) before deployment.
• Define reference architectures and golden images; champion automation-first strategies for provisioning, configuration, patching, and system upgrades.
• Own technical delivery plans, risk identification, and mitigation strategies across staging and production environments. Ensure proper validation through documented unit, integration, and UAT testing.
• Partner with engineering and PMO teams to maintain governance frameworks, manage change control, and align key stakeholders at every project milestone.
• Serve as the highest-level (Tier-3/4) escalation point for critical incidents (Sev-1/Sev-2). Lead incident resolution, conduct root-cause investigations, and drive implementation of permanent corrective measures.
• Act as the technical lead during pre-sales and delivery phasesclarifying requirements, validating assumptions, and translating business needs into technical designs in collaboration with Sales, Service Excellence, Product, and PMO teams.
• Lead technical workshops, architecture reviews, and formal handovers. Represent engineering leadership in change advisory boards and go/no-go decision meetings.
• Ensure HLDs, LLDs, runbooks, disaster recovery procedures, and security hardening guides are up to date, version-controlled, and consistently applied across delivery teams.
• Mentor System Engineers and Senior Engineers, review technical designs and scripts, set quality benchmarks, and guide professional growth and cross-training efforts.
• Drive close collaboration with Sales, Service Excellence, Product, and Customer teams to deliver cohesive and high-quality solutions.

Technical Skills and Experience

• Linux Administration: Advanced expertise in RHEL, CentOS, and Ubuntu, including system hardening, high-availability clustering, and performance optimization.
• Networking and Security: Strong understanding of switching, routing, firewalls, VLANs, and core protocols (TCP/IP, DNS, NTP, LDAP, SMTP); capable of making architecture-level security and design decisions.
• Virtualization and Cloud: Skilled in KVM, VMware, and Hyper-V platforms; proficient in designing hybrid architectures across AWS, Azure, and GCP with cost and performance optimization.
• Data and Observability: Hands-on experience with MySQL, MariaDB, and PostgreSQL; familiarity with centralized logging, metrics, and alerting tools such as syslog-ng and Elastic Stack.
• Automation and Scripting: Proficient in Bash and Linux shell scripting; working knowledge of Python, Ansible, and Terraform for infrastructure automation and CI/CD implementation.
• Containerization: Experience with Docker, Docker Swarm, and Kubernetes for building, deploying, and managing scalable containerized applications.
• Implementation Support: Willing to engage directly in hands-on configurations and deployments for critical or high-priority projects.

Requirements

• Minimum 10 years of experience in systems engineering, including at least 3 years in an architecture or principal engineering capacity managing complex deployments.
• Preferred certifications include RHCE, AWS/Azure Solutions Architect, Kubernetes (CKA/CKAD), and network/security credentials such as CCNP.
• Willingness to travel for onsite deployments, implementations, and cutover activities when necessary.
• Strong leadership, communication, and stakeholder management skills, with the ability to influence and drive outcomes across technical and business teams.

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA License: 11C3793 | EA Personnel: Bautista Gia Grace De Guzman | Registration No: R23111973

Key Responsibilities

• Design and develop scalable applications using Java, Spring Boot, and microservices architecture
• Create high-level and low-level technical designs based on business requirements
• Perform impact analysis for new features and system changes
• Lead requirements gathering and translate them into technical solutions
• Provide technical leadership and guidance to team members
• Conduct code reviews and resolve production issues
• Collaborate with stakeholders to define and refine system solutions
• Contribute to system integration and performance optimization
• Support deployment, troubleshooting, and continuous improvement of applications

Requirements

• Bachelor’s degree in Computer Science, IT, or related field
• 5+ years of experience in backend application development
• Strong proficiency in:

• Java, Spring Boot, Spring MVC, Hibernate, JPA Microservices and event-driven architecture

• Experience with database technologies: Oracle, MSSQL, or MongoDB
• Hands-on experience with cloud platforms (AWS or Azure)
• Strong knowledge of system design (HLD/LLD) and architecture principles
• Experience in technical leadership / mentoring
• Familiarity with Docker, Kubernetes, Kafka
• Strong problem-solving and communication skills

• Frontend exposure (Angular, JavaScript, HTML, CSS)
• Experience in CI/CD tools and DevOps practices
• Knowledge of version control (Git, SVN)
• Experience in large-scale enterprise or government systems
• Familiarity with Linux environments

• Experience in insurance, tax, or public sector systems
• Exposure to domain-driven design (DDD)
• Experience working in Agile environments

Interested candidate please click "APPLY" to begin your job search journey.

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PERSOL Tech Services Pte Ltd

UEN No. 202233837K

• Collaborate as project team member on Software design matters.
• Capture and evaluate customer, internal requirements and vehicle specific interface requirements. Identify suitable concept in terms of functional, technological and effort.
• Adhere to Bosch Software Engineering Process as e.g.:-
  • Perform requirement reviews, design reviews and code reviews.
  • Perform unit testing and release of the software according to SW release process.
• Develop the SW design taking into consideration the dependencies to other module and integration into the overall system.
• SW programming using both standard and proprietary software tools and libraries.
• Create SW test specifications and protocols, if necessary develop test SW. Executes test plans to ensure new software meets specifications, functionalities and performance requirements.
• Analyze failure log, clarify system problems and resolve design issues.
• Develop and produce technical reports, design analysis and documentation in support of designs.
• Assist Manufacturing in troubleshooting manufacturing related problems.
• Provide post-production support.

As a key leader within High Bandwidth Memory (HBM) Product Engineering Media Health team, you will spearhead and develop a high performing team driving both intrinsic and extrinsic reliability test development and execution for Micron’s latest HBM products, both on DRAM and Interface die and a stacked product. Your responsibility is to drive extrinsic DPM reduction (Time 0 and Field DPM) and lead the intrinsic reliability charter, along with optimized Manufacturing Test Flow to meet critical KPI’s Quality, Cost and Cycle Time. You will be leading the team to characterize the products from reliability aspect, identify the reliability gaps, working on root cause and resolution of qual and RMA failures pertaining to defectivity and intrinsic reliability margin and drive fab process improvement driven by the qual failures. Additionally, your team will also be the key person in frontend process conversion, where you will work with Fab, TD, GQ teams to establish robust business process for process conversions to facilitate yield improvements, DPM and Cost Reduction. You will collaborate across functions within and outside of HBM to meet both strategic and tactical objectives while continually maximizing the effectiveness of the HIG HBM PE organization. The future of HBM are exciting and dynamics. Micron is seeking experienced individuals that find technical challenges engaging and invigorating.

Responsibilities:

• Reliability Test Flow Development: Define and develop reliability stress, test flows and test plans to cover all Product Reliability aspects.

• Reliability Test Plan and Execution: Work closely with Global Quality team to define qualification plan, review and manage the qualification execution progress, and drive for qualification gating issue resolution.

• DPM reduction: Drive down and achieving Extrinsic Reliability (Time 0 and Field DPM) and Intrinsic Reliability through Optimized Manufacturing Test Flows and Test Strategy to meet critical KPI’s Quality, Cost and Cycle Time

• Root Cause and Resolution of Qual and RMA Device Issues pertaining to defectivity and intrinsic reliability: Debug and identify root cause and failures in reliability tests by electric failure analysis(EFA) and Physical Failure Analysis (PFA) and drive for resolution and improvements through cross functional team collaboration.

• Process Conversions and HVM: The role involves providing recommendation to fab teams for new process conversions to reduce cost, increase yields. This is critical as it directly impacts the yield, quality, reliability, and performance of HBM products, which are key components in many modern technologies.

• Risk Management: The role requires communication with Product Managers/Leads to manage risks associated with DPM process conversions. This is crucial in ensuring that the conversions move at an appropriate pace, balancing the need for innovation with the need for stability and reliability.

• Promotion of Innovation: The role involves promoting innovation and driving for changes that will provide Micron with a technical advantage over its competition. This is vital for maintaining Micron’s competitive edge in the market.

• Mentorship and Development of Others: The role involves actively developing and mentoring others. This is important for the growth and development of the team and the organization.

• Project Management: Developing project management skills within the team ensures efficient execution of projects, leading to timely delivery of technological solutions.

• Technical Decision Making: The role involves making final decisions on risk analysis and project prioritization. These decisions directly impact the direction of technological development.

• Cross-Functional Collaboration: This role necessitates collaboration with various cross-functional teams such as Fab, HBM Technology Development, HBM Design, System Development, and Quality/Reliability team. This collaboration is vital for the holistic development and shipping of end products.

Requirements

• Bachelors/Masters Electrical and Electronics Engineering Degree with 3 years of experience in the semiconductor industry. Product Engineering experience is preferred.

• Demonstrating Strong Leadership Skills and Technical Skills, especially in problem solving with root cause understanding and solution space through in depth circuit analysis.

• Good knowledge of statistics and data analysis tools and scripting.

• Dedicated and highly motivated with a flexible approach towards adapting to different roles in a dynamic working environment (from leading the team to leading technical programs).

• Proven track record of collaborative work within/across teams to address sophisticated business and engineering problems.

• Strong sense of responsibility and accountability towards assigned role with professional work ethic.

• Excellent communication and presentation skills.

• Passionate about people leadership, with a drive toward ongoing learning and development in this area.

• Work on site in Singapore with international travel to US, Taiwan and Japan.

Product area

The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.

Job description

As a Customer Engineer in the technical sales team, you will be supporting the enterprise segment. You will equip companies with Google tools to make technology at work more simple, secure and shareable. You will inspire leading companies and government agencies to work smarter with cloud or web first strategies through Chrome Enterprise and take advantage of advanced enterprise capabilities for administrative controls.

Qualifications

Job responsibilities

• Act as the primary platforms and devices enterprise solutions technical lead on key accounts. Bring together cross-functional agreement team members to design and execute comprehensive technical sales strategies and opportunity technical win plans.
• Work with the sales team to guide and accelerate the transition of leading companies, partners and government agencies to Chrome Enterprise, which encompasses Chrome Enterprise Premium, Chrome Operating System (OS), and their collective management tools.
• Identify key customer technical objections and develop the strategy to resolve technical impediments.
• Provide proactive consultation and strategic guidance for utilizing scalable enablement and funding programs to accelerate proof-of-concepts and pilots.
• Own the technical sales motion to accelerate new bookings, upsells, and expansions across the core enterprise portfolio (Chrome Enterprise Premium, ChromeOS, Cameyo, Pixel/AE, etc.).

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.
  
• 10 years of experience in a customer-facing or technical project management role.
• 5 years of experience working with enterprise operating systems including Chrome.
• Ability to communicate in English and Mandarin fluently in order to communicate in this customer-facing role.
  

Preferred qualifications

• Experience in the following areas of IT infrastructure: networking (e.g., VPN, Wireless, protocols), identity management (e.g., SSO, SAML, ActiveDirectory), and security (e.g., VPN, firewalls).
• Experience with application delivery including: web application and integration (e.g., HTML5, JavaScript, CSS), VDI solutions (e.g., Citrix, VMWare, RDP), and mobile apps.
• Experience with managed endpoint devices (e.g., PC or mobile), and the growing ecosystem of browser-based applications and collaboration tools.
  
• Deep knowledge of Google Cloud Platform or Google Workspace solutions.

THE ROLE:

We are the high-end test engineering team providing test solutions for Data Center New Product Introduction (NPI) under the Product Engineering Organization. We do exciting product development for leading-edge technology that will power the next generation processors used for high performance computing, data centers, and enterprise servers.

If you are looking for a fulfilling and challenging career as an engineer leading SLT (System Level Test) Thermal and Board SME (Subject Matter Expert), you are at the right place! As a MTS System Level Technical Lead, you will be responsible for defining, driving and enabling SLT test solution to meet NPI business milestones and KPI (test time, yield, cost, quality .The expectation is to perform leadership to have interaction with Silicon/Board/Power design teams, Product & Test Engineering teams, Customer Quality teams, software & platform teams to ramp GPU coverage with aggressive schedule while debug GPU fallout to ensure high yield. You will experience working with and learning from AMD’s talented engineering teams around the world.

THE PERSON:

We are looking for someone with strong technical, analytical, leadership and problem-solving skills, as well as demonstrating the characteristic of an independent and resourceful individual.

You will be proficient in your understanding about PCB Board and High Power Delivery (above 1kW) design methodology, Thermal dissipation as well as a broad understanding of various industry standards in OCP (Open Compute Project), such as JEDEC HBM3/4, PCIe, I2C/I3C, UEC (Ultra Ethernet Consortium) and UCIe (Unified Chiplet Interconnect Express) etc.

KEY RESPONSIBILITIES:

• Accountable to provide leadership to meet business milestone, cost and quality in GPU system level test area.
• Collaborate with internal teams to drive SLT board and power swim lane from pre-silicon, ASIC initial bring up to HVM (High Volume Manufacturing)
• Conduct engineering evaluations and analysis to drive closure of GPU production issues, qualify cutting-edge high power SLT thermal system for HVM
• Profile or characterize PI (Power Integrity), voltage droop, or power delivery issue observed on SLT platforms in collaboration with board/silicon designers
• Involves collaboration on or assuming the consultative or leadership responsibilities for a specific project or for product development initiatives
• May provide technical supervision or mentoring junior engineers
• Upscale overall team capabilities on low level system debug for AMD data center product families

PREFERRED EXPERIENCE:

• Experience and with good understanding of PCB board and Power Delivery design for high power GPU product (above 1kW), and board lifecycle from Eval to HVM (High Volume Manufacturing)
• Strong expertise with using analyzers and oscilloscopes, and other debug tools
• Knowledge and working experience on GPU and HBM architecture, SoC design and SoC power management features are a strong plus
• Strong and effective presentation, written and verbal communication skills, and the ability to work with geographically distributed product engineering teams
• Proficiency in Windows, and Linux operating systems
• Basic scripting proficiency for automation (Shell script, Perl, Ruby, Python)

ACADEMIC CREDENTIALS:

• BS/MS Electrical Engineering, Computer Engineering, or comparable disciplines