Manageability Research Engineer - Cloud Hardware Reliability - Permanent
π 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
π Role Summary
- π 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.
π» Primary Responsibilities
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π 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.
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Understand and investigate planet-scale technical problems, such as defining new hardware reliability functionalities for globally distributed data centers.
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Architect and help design RAS (Reliability, Availability, Serviceability) telemetry for datacenter platforms and develop manageability solutions to monitor and maintain system health.
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Present findings and solutions tailored to the needs of key stakeholders, including engineering teams, senior management, customers, and external partners.
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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.
π Skills & Qualifications
Education: Ph.D. or Masterβs 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.
π Web Portfolio & Project Requirements
π 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.
π΅ Compensation & Benefits
Salary Range: β¬60,000 - β¬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.
π― Team & Company Context
π’ 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/
π 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.
π 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.
π Enhancement Note: Huawei Ireland Research Centre offers a dynamic and collaborative work environment that fosters innovation and professional growth.
π Application & Technical Interview Process
Interview Process:
- Online application review and initial screening.
- Technical phone or video screen, focusing on relevant skills and experience.
- On-site or virtual interview, including a technical deep dive, presentation, and behavioral questions.
- 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
π 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.
π 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.
π 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.
π₯ 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.
π Enhancement Note: Huawei Ireland Research Center fosters a dynamic and collaborative work environment that encourages innovation, continuous learning, and cross-functional teamwork.
β‘ 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.
π 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.
π‘ 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.
π 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.
π Application Steps
To apply for this research engineer position at Huawei Ireland Research Center:
- Submit your application through the Huawei Ireland Research Center careers page.
- Customize your resume and portfolio to highlight relevant skills, experience, and accomplishments in cloud hardware reliability, datacenter telemetry, and server management.
- Prepare for the technical interview by brushing up on relevant knowledge and practicing presentation skills.
- 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.
π 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 Masterβs 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.