Manageability Research Engineer - Cloud Hardware Reliability - Permanent

Huawei Ireland Research Centre
Full_timeβ€’Dublin, Ireland

πŸ“ Job Overview

  • Job Title: Manageability Research Engineer - Cloud Hardware Reliability - Permanent
  • Company: Huawei Ireland Research Centre
  • Location: Dublin, Leinster, Ireland
  • Job Type: Full-Time
  • Category: Research Engineer
  • Date Posted: 2025-03-20
  • Experience Level: Mid-Senior level (2-5 years)
  • Remote Status: On-site

πŸš€ Role Summary

  • πŸ“ Enhancement Note: This role focuses on improving cloud hardware reliability by architecting and designing new features for future servers, collaborating with diverse teams, and presenting findings to key stakeholders.

πŸ’» Primary Responsibilities

  • πŸ“ Enhancement Note: The primary responsibilities revolve around understanding and investigating planet-scale technical problems, defining new hardware reliability functionalities, and developing manageability solutions to monitor and maintain system health.

  • Understand and investigate planet-scale technical problems, such as defining new hardware reliability functionalities for globally distributed data centers.

  • Architect and help design RAS (Reliability, Availability, Serviceability) telemetry for datacenter platforms and develop manageability solutions to monitor and maintain system health.

  • Present findings and solutions tailored to the needs of key stakeholders, including engineering teams, senior management, customers, and external partners.

  • Gather insights from the cutting edge of industry and academia regarding GPU hardware development and translate customer requirements, feedback, and market dynamics into potential feature requests to ensure a high reliability fleet.

πŸŽ“ Skills & Qualifications

Education: Ph.D. or Master’s degree in Electrical Engineering, Computer Engineering, or a related field.

Experience: Proven expertise in datacenter telemetry, scale server management, and server telemetry/manageability protocols.

Required Skills:

  • Expertise in datacenter telemetry, including scale solutions for cloud-scale telemetry.
  • Expertise in scale server management, including BMC (Baseboard Management Controller) management.
  • Proven knowledge of server telemetry/manageability protocols such as SMBUS, I2C, I3C, Redfish, and SPI.

Preferred Skills:

  • Experience working in a research environment and collaborating with diverse teams.
  • Strong presentation and communication skills.
  • Familiarity with cloud infrastructure and GPU hardware development.

πŸ“Š Web Portfolio & Project Requirements

πŸ“ Enhancement Note: As this role focuses on research and development, a portfolio showcasing relevant research projects, technical papers, and presentations would be most suitable.

Portfolio Essentials:

  • Research projects demonstrating an understanding of cloud hardware reliability, datacenter telemetry, and server management.
  • Technical papers and presentations highlighting expertise in server telemetry/manageability protocols and scale server management.
  • Case studies or projects showcasing the ability to present findings and solutions to key stakeholders.

Technical Documentation:

  • Detailed documentation of research projects, including methodology, findings, and recommendations.
  • Code samples or snippets demonstrating expertise in relevant programming languages and tools.
  • Any patents, whitepapers, or other intellectual property resulting from previous research projects.

πŸ’΅ Compensation & Benefits

Salary Range: €60,000 - €80,000 per annum (based on experience and qualifications)

Benefits:

  • Competitive salary and benefits package.
  • Opportunities for professional development and career growth.
  • A dynamic and collaborative work environment with a diverse team of experts.

Working Hours: Full-time, 40 hours per week, with flexible working hours and remote work options available.

🎯 Team & Company Context

🏒 Company Culture

Industry: Information and communications technology (ICT) infrastructure and smart devices.

Company Size: Large (180,000+ employees worldwide)

Founded: 1987 (Huawei Technologies Co., Ltd.)

Team Structure:

  • Collaborative research environment with diverse teams, including industry experts, academic researchers, and Ph.D. interns.
  • Close collaboration with local research teams, other European research centers, and global engineering teams.

Development Methodology:

  • Agile and iterative research and development processes.
  • Cross-functional collaboration with hardware, software, networking, and operations teams.
  • Regular presentations and updates to key stakeholders, including senior management and external partners.

Company Website: https://www.huawei.com/

πŸ“ˆ Career & Growth Analysis

Web Technology Career Level: Mid-Senior level research engineer with a focus on cloud hardware reliability and server management.

Reporting Structure: This role reports directly to the research team lead and collaborates with various teams, including hardware, software, networking, and operations.

Technical Impact: Significant impact on the reliability and performance of Huawei's cloud infrastructure, contributing to the company's goal of becoming a recognized technology leader and global provider of ICT solutions.

Growth Opportunities:

  • Opportunities to work on cutting-edge research projects and collaborate with global teams.
  • Potential for career progression into senior research roles, technical leadership, or management positions.
  • Access to professional development opportunities, such as training, conferences, and certifications.

🌐 Work Environment

Office Type: Modern, collaborative research center with state-of-the-art facilities and equipment.

Office Location(s): Dublin, Ireland (with opportunities for remote work and collaboration with global teams)

Workspace Context:

  • Collaborative workspace with open-plan offices, meeting rooms, and breakout spaces.
  • Access to cutting-edge research facilities, including labs and testing equipment.
  • Opportunities to work with and learn from a diverse team of experts in various fields.

Work Schedule: Full-time, 40 hours per week, with flexible working hours and remote work options available.

πŸ“ Enhancement Note: Huawei Ireland Research Centre offers a dynamic and collaborative work environment that fosters innovation and professional growth.

πŸ“„ Application & Technical Interview Process

Interview Process:

  1. Online application review and initial screening.
  2. Technical phone or video screen, focusing on relevant skills and experience.
  3. On-site or virtual interview, including a technical deep dive, presentation, and behavioral questions.
  4. Final decision and job offer.

Portfolio Review Tips:

  • Highlight relevant research projects, technical papers, and presentations that demonstrate expertise in cloud hardware reliability, datacenter telemetry, and server management.
  • Showcase the ability to present findings and solutions to key stakeholders, with a focus on clear communication and practical recommendations.
  • Emphasize any patents, whitepapers, or other intellectual property resulting from previous research projects.

Technical Challenge Preparation:

  • Brush up on knowledge of server telemetry/manageability protocols, such as SMBUS, I2C, I3C, Redfish, and SPI.
  • Prepare for technical questions related to cloud hardware reliability, scale server management, and datacenter telemetry.
  • Practice presenting complex technical concepts in a clear and concise manner.

ATS Keywords: (Organized by category)

  • Hardware & Server Technologies: Datacenter, Server Management, BMC, SMBUS, I2C, I3C, Redfish, SPI, GPU Hardware Development
  • Research & Development: Research Engineer, Cloud Hardware Reliability, Telemetry, Manageability, RAS, Planet-Scale Technical Problems
  • Soft Skills: Collaboration, Presentation, Communication, Stakeholder Management, Technical Writing

πŸ“ Enhancement Note: The interview process for this role will focus on assessing technical expertise, problem-solving skills, and the ability to present findings and solutions to key stakeholders.

πŸ›  Technology Stack & Web Infrastructure

Hardware & Server Technologies:

  • Datacenter infrastructure and hardware components.
  • Server management tools and platforms.
  • Baseboard Management Controllers (BMC) and related protocols.
  • Server telemetry/manageability protocols, such as SMBUS, I2C, I3C, Redfish, and SPI.
  • GPU hardware development and related technologies.

Research & Development Tools:

  • Research methodologies and tools for investigating planet-scale technical problems.
  • Telemetry and monitoring tools for datacenter platforms.
  • Collaboration and communication tools for working with diverse teams.
  • Presentation and reporting tools for effectively communicating findings and solutions.

πŸ“ Enhancement Note: As this role focuses on research and development, the technology stack will evolve based on the specific projects and research areas being explored.

πŸ‘₯ Team Culture & Values

Web Development Values:

  • Innovation and continuous learning.
  • Collaboration and cross-functional teamwork.
  • Customer focus and stakeholder management.
  • Technical excellence and quality.

Collaboration Style:

  • Open and collaborative research environment.
  • Regular team meetings and knowledge-sharing sessions.
  • Cross-functional collaboration with hardware, software, networking, and operations teams.
  • Global collaboration with research centers and engineering teams worldwide.

πŸ“ Enhancement Note: Huawei Ireland Research Center fosters a dynamic and collaborative work environment that encourages innovation, continuous learning, and cross-functional teamwork.

⚑ Challenges & Growth Opportunities

Technical Challenges:

  • Defining new hardware reliability functionalities for globally distributed data centers.
  • Architecting and designing RAS telemetry for datacenter platforms.
  • Developing manageability solutions to monitor and maintain system health at scale.
  • Staying up-to-date with the latest developments in cloud hardware reliability, datacenter telemetry, and server management.

Learning & Development Opportunities:

  • Working on cutting-edge research projects and collaborating with global teams.
  • Access to professional development opportunities, such as training, conferences, and certifications.
  • Opportunities to present findings and solutions to key stakeholders and external partners.
  • Potential for career progression into senior research roles, technical leadership, or management positions.

πŸ“ Enhancement Note: This role offers numerous technical challenges and learning opportunities, allowing researchers to grow professionally and contribute to Huawei's mission of becoming a recognized technology leader.

πŸ’‘ Interview Preparation

Technical Questions:

  • Hardware & Server Technologies: Questions related to datacenter infrastructure, server management, BMC, and server telemetry/manageability protocols.
  • Research & Development: Questions focused on understanding and investigating planet-scale technical problems, defining new hardware reliability functionalities, and developing manageability solutions.
  • Soft Skills: Questions assessing collaboration, presentation, communication, and stakeholder management skills.

Company & Culture Questions:

  • Questions about Huawei's mission, values, and research focus.
  • Questions related to the role's fit within the company's overall strategy and research goals.
  • Questions about the candidate's long-term career aspirations and fit within the team.

Portfolio Presentation Strategy:

  • Tailor the portfolio to highlight relevant research projects, technical papers, and presentations that demonstrate expertise in cloud hardware reliability, datacenter telemetry, and server management.
  • Showcase the ability to present findings and solutions to key stakeholders, with a focus on clear communication and practical recommendations.
  • Emphasize any patents, whitepapers, or other intellectual property resulting from previous research projects.

πŸ“ Enhancement Note: Successful candidates will demonstrate strong technical expertise, problem-solving skills, and the ability to present findings and solutions to key stakeholders in a clear and concise manner.

πŸ“Œ Application Steps

To apply for this research engineer position at Huawei Ireland Research Center:

  1. Submit your application through the Huawei Ireland Research Center careers page.
  2. Customize your resume and portfolio to highlight relevant skills, experience, and accomplishments in cloud hardware reliability, datacenter telemetry, and server management.
  3. Prepare for the technical interview by brushing up on relevant knowledge and practicing presentation skills.
  4. Research Huawei's mission, values, and research focus to demonstrate a strong understanding of the company and the role's fit within its overall strategy.

πŸ“ Enhancement Note: This enhanced job description provides comprehensive insights into the Manageability Research Engineer - Cloud Hardware Reliability role at Huawei Ireland Research Center. All details should be verified directly with the hiring organization before making application decisions.


Content Guidelines (IMPORTANT: Do not include this in the output)

Research Engineer-Specific Focus:

  • Tailor every section specifically to research engineer roles, with a focus on cloud hardware reliability, datacenter telemetry, and server management.
  • Include research methodologies, telemetry and monitoring tools, and collaboration strategies relevant to research and development teams.
  • Emphasize the role's impact on the reliability and performance of cloud infrastructure, as well as the opportunity to work on cutting-edge research projects and collaborate with global teams.
  • Address the unique challenges and learning opportunities presented by this role, with a focus on technical problem-solving, presentation skills, and stakeholder management.

Quality Standards:

  • Ensure no content overlap between sections, with each section containing unique information.
  • Include Enhancement Notes only when making significant inferences about the role, research methodologies, or team dynamics.
  • Be comprehensive but concise, prioritizing actionable information over descriptive text.
  • Strategically distribute research and development-related keywords throughout all sections naturally.
  • Provide realistic salary ranges based on location, experience level, and research engineer specialization.

Industry Expertise:

  • Include specific research methodologies, telemetry and monitoring tools, and collaboration strategies relevant to the role.
  • Address the unique challenges and learning opportunities presented by this role, with a focus on technical problem-solving, presentation skills, and stakeholder management.
  • Provide tactical advice for research portfolio development, live demonstrations, and project case studies.
  • Include research-specific interview preparation and coding challenge guidance.
  • Emphasize the role's impact on the reliability and performance of cloud infrastructure, as well as the opportunity to work on cutting-edge research projects and collaborate with global teams.

Professional Standards:

  • Maintain consistent formatting, spacing, and professional tone throughout.
  • Use research and development industry terminology appropriately and accurately.
  • Include comprehensive benefits and growth opportunities relevant to research engineers.
  • Provide actionable insights that give research engineers a competitive advantage.
  • Focus on research team culture, cross-functional collaboration, and user impact measurement.

Technical Focus & Portfolio Emphasis:

  • Emphasize research methodologies, telemetry and monitoring tools, and collaboration strategies relevant to the role.
  • Include specific portfolio requirements tailored to the research engineer discipline and role level.
  • Address the unique challenges and learning opportunities presented by this role, with a focus on technical problem-solving, presentation skills, and stakeholder management.
  • Focus on problem-solving methods, performance optimization, and scalable research architecture.
  • Include technical presentation skills and stakeholder communication for research projects.

Avoid:

  • Generic business jargon not relevant to research engineer roles.
  • Placeholder text or incomplete sections.
  • Repetitive content across different sections.
  • Non-technical terminology unless relevant to the specific research engineer role.
  • Marketing language unrelated to research, development, or user experience.

Generate comprehensive, research engineer-focused content that serves as a valuable resource for research engineers evaluating career opportunities and preparing for technical interviews in the research and development industry.

Application Requirements

Candidates should have a Ph.D. or Master’s degree in Electrical Engineering, Computer Engineering, or a related field. Expertise in datacenter telemetry and server management, along with knowledge of manageability protocols, is essential.