Product area

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Job description

The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

Additional job description

As a Practice Customer Engineer (CE) with a specialty in infrastructure migrations, you will partner with technical sales teams and other CEs to differentiate Google Cloud to our customers. You will serve as a technical expert responsible for accelerating technical wins for the migration of complex, enterprise workloads, in partnership with platform CEs, Google Cloud Consulting, and partners. You will leverage your expertise in our most strategic product areas to direct migrating pilot workloads as proof-of-concepts and demos to sell complex migrations of large enterprise workloads to customers. You will solve migration-centered customer issues and provide a critical feedback loop to influence customers, partners and product development. With your organizational, communication, and presentation skills, you will engage with customers to understand their business and technical requirements, and present practical and useful solutions to facilitate and de-risk the migration to Google Cloud.

Qualifications

Job responsibilities

• Drive the technical win for complex workloads within migrations to ensure rapid and successful adoption, primarily supporting the business cycle from technical evaluation through customer ramp.
• Combine sales strategies and direct development and prototyping to provide functional, customer-tailored solutions that secure buy-in from customer domain experts.
• Provide deep technical consultation to customers, acting as a technical advisor and building lasting customer relationships.
• Leverage learnings from customer engagements to contribute to reusable solutions and assets with the Go-to-Market team.
• Work within product and engineering management systems to document, prioritize and drive resolution of customer feature requests and issues.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 10 years of experience with cloud native architecture in a customer-facing pre-sales role.
• Experience with enterprise architectures and migration strategies for technologies such as cloud to cloud or on-premises to cloud.
• Experience engaging with, and presenting to, technical stakeholders and executive leaders.

Preferred qualifications

• Experience with data centers consolidation, relocation, migration, or virtualization projects.
• Experience in migrating, architecting and developing software or infrastructure for scalable, distributed systems.
• Experience in configuration management (e.g., Puppet, Chef, CFEngine, Salt), and functional operations of server, storage, and network functions.
• Experience with networking concepts (e.g., Routing, VPNs, load balancers, and firewalls).
• Experience migrating Linux workloads across private, public, or hybrid cloud environments.
• Experience with enterprise approaches for business continuity, disaster recovery, and backup and restore.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/AI-Engineer-for-AI-Singapore-%28AI-Talent-Development%29/33283-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF), Singapore, to build and anchor deep national capabilities in AI.  

AISG is supported through a government-wide partnership including the NRF, Ministry of Digital Development and Information (MDDI), Infocomm Media Development Authority (IMDA), Economic Development Board (EDB) and Enterprise Singapore (ESG). We bring together research institutions and the vibrant ecosystem of AI start-ups and companies to support impactful research, develop talent, and power Singapore's AI efforts.

AI Singapore (AISG) in partnership with the SAF AI Centre (SAIC), is seeking an experienced AI engineer to provide mentorship and consultancy to SAIC engineering teams, support real-world project selection for skills deepening, and enable professional certification readiness.

SAIC is a unit within the Digital and Intelligence Service, dedicated to addressing SAF's operational data science challenges and operationalising AI solutions. As the centre of excellence for AI, SAIC enhances the operational capabilities of SAF, driving productivity and efficiency through innovative AI solutions that advance SAF's defence capabilities.

Duties & Responsibilities

In this role, you will:

• Develop and deliver AI courses and programmes that raise AI fluency level for SAF workforce, including but not limited to playbooks for operational users and raising awareness of common AI use cases within SAF.
• Provide technical mentorship via sprints or personal mentorship; capture feedback on knowledge sharing and technical problem-solving impact.
• Identify real-world AI projects that build software engineering depth and machine learning pipeline skills of workforce for certification readiness. 
• Assist Senior AI Engineer to develop and maintain a job-skills-proficiency (JSP) map.
• Assist Senior AI Engineer to execute AI engineer certification programme.

Qualifications

• Degree in computer science, engineering, data science, or equivalent practical experience.
• Minimum 1 year in software engineering / ML engineering / applied AI and deploying models into production.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/AI-Engineer-for-AI-Singapore-%28AI-Talent-Development%29/33282-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF), Singapore, to build and anchor deep national capabilities in AI.  

AISG is supported through a government-wide partnership including the NRF, Ministry of Digital Development and Information (MDDI), Infocomm Media Development Authority (IMDA), Economic Development Board (EDB) and Enterprise Singapore (ESG). We bring together research institutions and the vibrant ecosystem of AI start-ups and companies to support impactful research, develop talent, and power Singapore's AI efforts.

AI Singapore (AISG) in partnership with the SAF AI Centre (SAIC), is seeking an experienced AI engineer to provide mentorship and consultancy to SAIC engineering teams, support real-world project selection for skills deepening, and enable professional certification readiness.

SAIC is a unit within the Digital and Intelligence Service, dedicated to addressing SAF's operational data science challenges and operationalising AI solutions. As the centre of excellence for AI, SAIC enhances the operational capabilities of SAF, driving productivity and efficiency through innovative AI solutions that advance SAF's defence capabilities.

Duties & Responsibilities

In this role, you will:

• Develop and deliver AI courses and programmes that raise AI fluency level for SAF workforce, including but not limited to playbooks for operational users and raising awareness of common AI use cases within SAF.
• Provide technical mentorship via sprints or personal mentorship; capture feedback on knowledge sharing and technical problem-solving impact.
• Identify real-world AI projects that build software engineering depth and machine learning pipeline skills of workforce for certification readiness. 
• Assist Senior AI Engineer to develop and maintain a job-skills-proficiency (JSP) map.
• Assist Senior AI Engineer to execute AI engineer certification programme.

Qualifications

• Degree in computer science, engineering, data science, or equivalent practical experience.
• Minimum 1 year in software engineering / ML engineering / applied AI and deploying models into production.

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.

Job Description & Requirements

Design, build, and deploy AI agents for operational workflows.

· Integrate agents with enterprise systems (ERP, HRIS, SharePoint, Dynamics 365, Salesforce) via APIs, Power Automate, or Graph connectors.

· Implement agent telemetry and observability pipelines using Microsoft Fabric or Power BI.

· Apply RAG (Retrieval-Augmented Generation), context injection, and prompt-chaining for knowledge-aware automation if needed.

· Maintain security, versioning, and audit trails for all agent deployments.

· Perform exploratory data analysis (EDA) on Finance, HR, or current datasets to identify automation opportunities and trends.

· Develop predictive ML models (e.g. anomaly detection, risk scoring).

· Deploy ML models into Power BI or agents through Fabric ML endpoints, or Python scripts.

· Collaborate with BI team to transform model output into decision-ready dashboards and alerts.

· Continuously measure ROI and performance through agent telemetry and statistical evaluation.

· Partner with the AI BA to translate business logic into model features and automation workflows.

· Work with BI teams to ensure data readiness, integrity, and lineage.

· Document models, pipelines, and prompts for auditability and reproducibility.

Qualifications

· Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.

· 4–8 years’ experience in data engineering, machine learning, or automation.

· Strong proficiency in Python, SQL, and Power Platform (Power Automate, Copilot Studio, Power Apps).

· Hands-on experience with EDA, regression/classification models, clustering, anomaly detection, and time-series forecasting.

· Familiarity with Azure AI / Azure Machine Learning / Fabric ML environment.

· Understanding of RAG pipelines, prompt-engineering, and LLM integration a plus.

· Experience working with structured (ERP, Finance, HR) and semi-structured data (documents, logs).

· Strong communication skills — can explain technical solutions to non-technical stakeholders.

· Bonus: Exposure to Finance or Shared-Service operations preferred.

Responsibilities

• Perform preventive and corrective maintenance of runway, taxiway, apron lighting systems, approach lighting systems, PAPI systems, stop bars, airfield guidance signs, Airfield Lighting Control Centre (AFLCC), and associated M&E systems.
• Ensure high availability and reliability of airfield lighting systems to meet operational safety and regulatory requirements.
• Conduct routine inspections, testing, and maintenance activities in compliance with CAAS regulations, ICAO Annex 14, Airport Operational and Safety (AOS) requirements, Airside Work Procedures (AWP), and Airfield Lighting (AFL) Standard Operating Procedures.
• Troubleshoot and rectify faults related to Constant Current Regulators (CCR), field circuits, transformers, lamps, AFLCC systems, and associated electrical and control equipment.
• Monitor and achieve maintenance service levels and KPIs specified under maintenance contracts.
• Lead or support the installation, modification, upgrading, testing, and commissioning of airfield lighting systems, AFLCC systems, and associated infrastructure.
• Review engineering drawings, technical specifications, method statements, and project documentation to ensure compliance with operational and technical requirements.
• Coordinate with airport authorities, consultants, contractors, vendors, and stakeholders to facilitate maintenance and project execution activities.
• Supervise site works, contractors, technicians, testing activities, and commissioning processes to ensure quality, safety, and timely completion.
• Ensure compliance with ICAO, FAA, CAAS, and other applicable technical standards and regulatory requirements.
• Manage project schedules, resources, quality standards, and cost control to achieve project objectives.
• Prepare and maintain test reports, commissioning records, technical documentation, as-built drawings, and project close-out documents.
• Implement and comply with Workplace Safety and Health (WSH) requirements, risk assessments, method statements, permit-to-work systems, and airside safety procedures.
• Participate in audits, inspections, safety reviews, and continuous improvement initiatives to enhance system performance and operational safety.
• Provide standby and on-call support for critical system failures and emergency maintenance requirements.
• Respond promptly to airfield lighting faults and outages to minimise operational disruptions.
• Conduct root cause analysis (RCA) and implement corrective and preventive actions to improve system reliability.
• Maintain accurate records of maintenance activities, asset performance, fault history, downtime, and lifecycle management data.
• Utilise maintenance and asset management systems such as CMMS, ALIS, AIMS, and FMS for planning, tracking, and reporting purposes.
• Prepare technical reports, performance analyses, and management updates on system status and maintenance activities.
• Supervise and provide technical guidance to technicians, subcontractors, and junior engineering staff.
• Coordinate with airport operations teams to plan and execute airside works with minimal impact on airport operations.
• Work closely with procurement and supply chain teams to ensure timely availability of spare parts, materials, and equipment.
• Support technical training, knowledge sharing, and competency development initiatives within the team.

Requirements

• Degree in Electrical/Electronics Engineering or equivalent
• At least 5 years relevant working experience
• Good communication skills, positive mindset and strong willingness to learn
• Has a good safety mindset and displays good WSH behaviour

At ENGIE, every talent has a role to play in accelerating the energy transition. Make a difference and enjoy a fulfilling professional experience. Take on exciting challenges and build a career path that reflects who you are.

Join us and be part of the adventure of the century!

On our Perception team, you have the opportunity to work with world-class ML engineers and research scientists, whose mission is to make self-driving vehicles a reality and to create a positive social impact. Our team works on the tech stack responsible for perceiving the dynamic scenarios, and further tracking and classifying objects around our robo-taxi. We are looking for engineers who are passionate about Level 4 autonomous driving technology, excited by intellectual challenges, and interested in pursuing career growth with a fast-growing company.

What You'll Be Doing:

• Contribute to the development and implementation of advanced perception algorithms for object detection, tracking, classification, and segmentation using camera, lidar, and radar data
• Connect and drive business impact through technology solutions
• Design and implement sensor fusion algorithms to combine data from multiple sensors to create a robust and accurate perception system
• Optimize perception algorithms for real-time performance on embedded hardware
• Collaborate with other engineers and teams to integrate perception systems into larger autonomous systems
• Stay abreast of the latest research and advancements in machine learning and computer vision and apply them to real-world problems
• Productionize and deploy solutions onto autonomous vehicle fleets
• Derive good insight from large data sets from a variety of sources
• Mentor and guide junior engineers on the team

What We're Looking For:

• Masters or Ph.D. in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience
• In-depth understanding of common Machine Learning and Deep Learning algorithms
• Experience with designing, training, and analyzing neural networks for at least one of the following applications: object detection, semantic/instance segmentation, visual classification, motion/gesture recognition, sensor fusion, multitask learning, multi-object tracking, and/or end-to-end perception
• Experience with deep learning frameworks such as TensorFlow or PyTorch
• Fluency in Python, including standard scientific computing libraries and Python bindings development experience
• Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods
• Excellent communication and interpersonal skills
• Experience mentoring and leading others

Preferred, but not required:

• Strong programming skills in C++ and/or CUDA programming
• Proven track record of developing and deploying perception systems for autonomous vehicles or robotics
• Experience with embedded systems and real-time optimization, especially in the autonomous driving industry
• Experience with launching ML products from ideation
• Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.)
• Experience in deploying models into real-world environments

BIM / Revit Engineer

Location: Singapore

Employment Type: Full-Time, Office & Site-Based

About the Role

We are seeking an experienced BIM / Revit Engineer to join our engineering team. The role focuses on developing and managing BIM models, supporting design coordination, and integrating digital engineering workflows. Candidates with strong hands-on skills in 3D scanning, Revit modeling, and site-based BIM execution are highly encouraged to apply.

Key Responsibilities

· Develop and manage Revit models for MEP, architectural, structural, and process systems.

· Convert 3D laser scans of existing facilities into Revit models for design and coordination.

· Carry out site checking and verification to ensure BIM models reflect actual conditions.

· Monitor site progress and update models to capture construction changes.

· Produce and deliver accurate as-built drawings from coordinated BIM models.

· Perform BIM-based analysis, including exhaust pressure loss calculations and airflow studies.

· Prepare Bill of Quantities (BOQ) and data extraction directly from BIM models.

· Conduct clash detection, coordination reviews, and model validation.

· Maintain BIM execution plans, modeling standards, and data accuracy.

· Collaborate with engineers, contractors, and site teams to integrate updates and resolve conflicts.

· Provide visualization models and as-built BIM deliverables to support client handover.

Requirements

· Formal BIM / Revit certification or training (ITE / Polytechnic / Professional BIM courses).

· Minimum 5 years of practical experience in BIM/Revit modeling for MEP or building services projects.

· Strong skills in Autodesk Revit, Navisworks, AutoCAD; BIM360 or equivalent collaboration tools a plus.

· Experience in 3D scan-to-BIM conversion of existing facilities is highly advantageous.

· Ability to carry out exhaust/duct pressure loss calculations using BIM tools.

· Proven experience in quantity take-off / BOQ preparation from BIM models.

· Strong experience in site checking, monitoring progress, and producing as-built drawings.

· Familiarity with Singapore BIM standards (BCA, SS CP83, ISO19650) preferred.

· Experience with data exchange platforms (preferably BIM360 Docs and BIM360 Collaborate Pro) for storage and exchange of design information, including design reviews, markups, comments, 2D drawings, and 3D CAD model viewing.

· Good communication and teamwork skills to work in multi-disciplinary project teams.

What We Offer

· Opportunity to work on semiconductor, cleanroom, and high-tech facility projects.

· Exposure to advanced BIM workflows, 3D scanning, and digital twin applications.

· Career progression into BIM Coordinator / BIM Manager roles.

· Structured training and continuous upskilling.

· Competitive salary package with project allowances.

Interested applicants are invited to apply directly at theNUS Career Portal. Please note your application will only be processed if youapply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28Robotics%29/33299-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

•             Robot design.

The candidate is expected to assist in the design, fabrication, and testing of a novel robotic system based on application-related specifications.

•             Robot experiments.

The candidate is expected to support the definition of experimental protocols, in terms of trials and parameters to measure, to help with the experimental set-up, experimental validation, performance testing, and iterative improvements of developed prototypes and with the recording and analysis of experimental results.

•             Collaborate with cross-functional teams to integrate mechanical, electrical, and software components into functional robotic systems.

•             Support applied projects in collaboration with industrial partners and contribute to technology transfer efforts.

•             Present research findings at international workshops, conferences, and internal project meetings.

•             Contribute to the preparation of technical reports and assist in writing articles for publication in top-tier journals and conferences.

Qualifications

•             Mechanical Engineering degree

•             Robotics expertise: knowledge of robotics and soft robotics fundamentals, skills for robot design.

•             Research experience, even as a student, including skills for experimental research and paper preparation.

•             Hands-on experience in robotics, soft robotics, or interactive systems.

•             Proficiency in CAD software, prototyping, and mechatronics.

•             Ability to work collaboratively in a multidisciplinary team environment.

•             Strong problem-solving skills and creativity.

• Job description:

1. System hang、BSoD(Blue Screen of Death)、Black Screen issue analyze.
2. System compatibility and Stability issue clarify.
3. Cross function (BIOS、FW、EE、Power、Factory、QA) cooperation.

• Job Requirements:

1. Bachelor's degree or above in Electrical Engineering/ Computer Engineering/ Computer Science/ Information Management of related fields.
2. Minimum 1 year experience of PC industry.
3. This position will require communication with colleagues in Taiwan, so it will require communicating in both English and Mandarin.
4. Well understand x86 PC architecture.
5. Familiar with Microsoft Windows operation.
6. Have Microsoft windows and device driver knownledge study (ADK, WPA ETL).

Job Title: Failure Analysis Engineer

Minimum Years of Experience: Nil

Gross Salary Range: $ 3,000.00 - $4,500.00 Monthly

Qualifications: Bachelor, preferred with surface analysis experience (such as TOF-SIMS,  FTIR, AFM, XPS, AES, etc.).

Job Description:

•             Being able to operate analytical instruments in lab environment and conduct analysis for various customers independently;

•             Being able to prepare samples in needs and ensure the quality of the work and trouble-shoot the causes when problem occurs;

•             Being able to write analytical reports;

•             Being able to work in afternoon/evening shift or night shift;

•             Document new failure analysis operating procedures, training and certification specs;

•             Communicate with customer for selecting proper analytical techniques and data interpretation;

•             Participate in ISO17025 in maintaining the system

Job Requirements:

•             Bachelor or above in Material Science, Physics, analytical Chemistry or related science. Surface analysis experience (such as TOF-SIMS, FTIR, AFM, XPS, etc.) is preferred;

•             Being able to work afternoon/evening shift or night shift if required

•             Hands-on sample preparation experience for various analysis;

•             Team player with strong work ethic and able to thrive independently as well; strong problem-solving skills;

•             Strong language and reporting skills;

Key Responsibilities

Participation in Industry Standards and Technical Engagement

· Participate in technical discussions and meetings related to AI-RAN Alliance, 3GPP, O-RAN, and other relevant industry organizations.

· Track the latest technological developments in AI-RAN, 6G, and wireless communications.

AI-RAN Core Algorithm Research and Development

· Lead the research, design, and development of core AI-RAN algorithms.

Technology Strategy and Product Delivery

· Contribute to technology roadmap planning and drive the commercialization and deployment of innovative solutions.

Cross-Functional and Customer Collaboration

· Collaborate effectively with internal cross-functional teams and external customers to deliver technical solutions.

Patent Development and Advanced Research

· Conduct forward-looking technology research and contribute to patent applications and intellectual property development.

---

Qualifications

· Solid foundation in wireless communications and algorithm development, with strong knowledge of 4G/5G NR, 3GPP specifications, and O-RAN architecture.

· Familiarity with AI technologies, including machine learning and deep learning.

· Strong technical innovation capability and system architecture design skills.

· Excellent communication skills in both English and Chinese, with the ability to participate in international technical exchanges and standardization activities.

· Experience with telecom operators, network equipment vendors, or the telecommunications industry is preferred.

· Minimum of 5 years of relevant experience in related fields.

This role focuses on building, integrating, and automating security systems to strengthen detection and response capabilities across on-premise, cloud, and network environments.

Core Responsibilities

1. Design, implement, and integrate security tools across enterprise environments

2. Build and maintain telemetry pipelines into SIEM and detection platforms

3. Support onboarding of systems into security monitoring

4. Implement and manage vulnerability scanning and remediation workflows

5. Work with SOC teams to translate operational gaps into engineering improvements

6. Support incident response and post-incident remediation

Core Requirements

1. Degree in Cybersecurity, IT, Computer Engineering or related field

2. At least 5 years of experience in Security Engineering, DevOps, or platform engineering

3. Experience with enterprise security technologies (e.g. SIEM, SOAR, EDR, cloud security)

4. Proficiency in scripting or automation (e.g. Python, PowerShell)

5. Strong understanding of networking and security telemetry

6. Experience implementing or integrating security platforms (e.g. SIEM, telemetry, cloud security tools)

7. Experience working in multinational or large enterprise environments

8. Ability to deliver engineering outcomes independently

On our Perception team, you have the opportunity to work with world-class ML engineers and research scientists, whose mission is to make self-driving vehicles a reality and to create a positive social impact. Our team works on the tech stack responsible for perceiving the dynamic scenarios, and further tracking and classifying objects around our robo-taxi. We are looking for engineers who are passionate about Level 4 autonomous driving technology, excited by intellectual challenges, and interested in pursuing career growth with a fast-growing company.

What You'll Be Doing:

• Contribute to the development and implementation of advanced perception algorithms for object detection, tracking, classification, and segmentation using camera, lidar, and radar data
• Connect and drive business impact through technology solutions
• Design and implement sensor fusion algorithms to combine data from multiple sensors to create a robust and accurate perception system
• Optimize perception algorithms for real-time performance on embedded hardware
• Collaborate with other engineers and teams to integrate perception systems into larger autonomous systems
• Stay abreast of the latest research and advancements in machine learning and computer vision and apply them to real-world problems
• Productionize and deploy solutions onto autonomous vehicle fleets
• Derive good insight from large data sets from a variety of sources
• Mentor and guide junior engineers on the team

What We're Looking For:

• Masters or Ph.D. in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience
• In-depth understanding of common Machine Learning and Deep Learning algorithms
• Experience with designing, training, and analyzing neural networks for at least one of the following applications: object detection, semantic/instance segmentation, visual classification, motion/gesture recognition, sensor fusion, multitask learning, multi-object tracking, and/or end-to-end perception
• Experience with deep learning frameworks such as TensorFlow or PyTorch
• Fluency in Python, including standard scientific computing libraries and Python bindings development experience
• Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods
• Excellent communication and interpersonal skills
• Experience mentoring and leading others

Preferred, but not required:

• Strong programming skills in C++ and/or CUDA programming
• Proven track record of developing and deploying perception systems for autonomous vehicles or robotics
• Experience with embedded systems and real-time optimization, especially in the autonomous driving industry
• Experience with launching ML products from ideation
• Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.)
• Experience in deploying models into real-world environments

Fujitsu is seeking a dedicated and experienced Network Engineer to join our onsite network team. You will be an integral part of a team responsible for managing our customer Enterprise Networking Environment, which supports a large campus with diverse network equipment and services. You will work closely with the customer network team, vendors, and the Helpdesk team to ensure seamless network operations.

Responsibilities:

• Manage, administer, configure, and provide technical support for network equipment (switches, wireless APs, firewalls, DNS appliances, UPS) and services, including VLANs, ACLs, firewall rules, DNS, and IP address management.
• Install, maintain, and upgrade network hardware firmware/software; apply patches, hotfixes, and manage vulnerability remediation.
• Take ownership of network problems, troubleshoot and resolve issues related to hardware, software, and firmware, performing on-site support as needed.
• Conduct daily system checks, monitor network services availability, and contribute to network health checks by analyzing alerts, statistics, and performance data.
• Manage and document all network device configurations, changes, and ensure weekly automated backups.
• Record network service outages and follow up on outstanding technical issues with vendors to ensure resolution within Service Level Agreement (SLA).
• Liaise effectively with ISPs, other service providers, and internal teams on operational matters.
• Assist and work with vendors with cabling management, including patching, documentation, 1st level troubleshooting of connections, and ensuring correct configuration/labeling of new outlets.
• Provide support for wireless configuration and surveys.
• Maintain comprehensive network documentation (diagrams, topologies, issues) and assist in proactive monitoring and monthly reporting for network resources.
• Conduct annual asset verification, track equipment movements (deployment, RMA, relocation, decommissioning), and update inventory records.
• Participate in network implementation and migration projects as required.
• Assist in supporting operational requirements such as power maintenance shutdowns, periodic system audits, and service validation.
• Adhere strictly to policies, rules, regulations, and IT security policies in all operational aspects.
  

Requirements:

• Bachelor’s degree in Computer Science, Engineering, or a related field
• 3+ years’ experience as a Network Engineer supporting large campus network
• Strong analytical and problem-solving skills
• Self-motivated with a strong sense of ownership
• Possesses a valid CCNA certification
• Certification in PCNSA/PCNSP is a plus