📍 Job Overview

Job Title: HPC, SHMEM Performance Engineer
Company: Hewlett Packard Enterprise
Location: Bloomington, Minnesota, United States of America
Job Type: Full-Time
Category: Technical - Engineering
Date Posted: 2025-08-01
Experience Level: Mid-Senior Level (5-10 years)
Remote Status: Remote/Teleworker

🚀 Role Summary

Key Responsibilities: Optimize performance of High-Performance Computing (HPC) systems, focusing on Symmetric Hierarchical Memory (SHMEM) communication model.
Key Skills: HPC, parallel programming, performance engineering, system architecture, programming, scripting, tools and technologies, communication, and collaboration.

📝 Enhancement Note: This role requires a strong background in HPC and parallel programming, with a focus on optimizing performance across large-scale clusters with multi-GPU and multi-node configurations.

💻 Primary Responsibilities

Performance Characterization and Analysis: Conduct detailed performance analysis and characterization on large multi-GPU and multi-node clusters, studying the interaction of various software and hardware components.
Performance Optimization: Identify performance bottlenecks, develop and implement strategies to improve performance across compute, storage, and communication layers, and ensure efficient resource utilization.
Benchmarking and Testing: Execute and analyze HPC/AI benchmarks using various technologies, prepare reports related to customer needs or RFPs, and conduct performance tests, including load, stress, and endurance tests.
Troubleshooting and Support: Triage and root-cause performance issues reported by customers and support the delivery of HPC solutions.
Collaboration and Advisory: Collaborate with development teams, architects, and other stakeholders to optimize code, improve system design, and integrate performance considerations throughout the development lifecycle.
Tooling and Infrastructure: Collect and visualize performance data, build tools and infrastructure for analysis, and contribute to observability tooling to support analysis and long-term tuning.
Staying Current: Keep abreast of the latest advancements in HPC and related technologies, including cloud computing, containerization, and scheduling tools.

📝 Enhancement Note: This role involves continuous learning and staying updated with the latest advancements in HPC and related technologies to ensure optimal performance and efficiency of large-scale clusters.

🎓 Skills & Qualifications

Education: Typically, a bachelor's, master's, or Ph.D. degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field is preferred.

Experience: Proven experience in HPC performance engineering, with a strong understanding of HPC concepts, parallel programming models, and performance optimization techniques.

Required Skills:

HPC and parallel programming (OpenMP, MPI, accelerators like GPUs)
Performance analysis, benchmarking, profiling, and tuning techniques
System architecture and hardware-software interactions
Programming and scripting (C/C++, Python)
Tools and technologies (cluster management tools, job schedulers, cloud provisioning)
Communication and collaboration skills

Preferred Skills:

Cloud architectures
Cross-domain knowledge
Design thinking
DevOps
Distributed computing
Microservices fluency
Full-stack development
Security-first mindset
Solutions design
Testing & automation
User experience (UX)

📝 Enhancement Note: Candidates with a strong background in HPC performance engineering and a proven track record of optimizing large-scale clusters will be highly competitive for this role.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Demonstrate a strong understanding of HPC concepts and parallel programming models through relevant projects and case studies.
Showcase performance optimization skills by presenting before-and-after comparisons and explaining the techniques used to improve performance.
Highlight experience with benchmarking and testing tools, and provide examples of performance tests conducted on large-scale clusters.
Include examples of troubleshooting and problem-solving skills, with a focus on performance issues in HPC systems.

Technical Documentation:

Provide detailed documentation of performance analysis and optimization techniques used in previous projects.
Include code samples and explanations of performance-critical sections of code.
Showcase experience with performance visualization tools and data analysis techniques.

📝 Enhancement Note: A strong portfolio for this role should emphasize performance optimization, benchmarking, and troubleshooting skills, with a focus on large-scale HPC systems and parallel programming models.

💵 Compensation & Benefits

Salary Range: The expected salary/wage range for a U.S.-based hire filling this position is USD $108,500.00 - $206,500.00 per year. Actual offer may vary based on geographic location, work experience, education/training, and/or skill level.

Benefits:

Health & wellbeing: Comprehensive suite of benefits supporting physical, financial, and emotional wellbeing.
Personal & professional development: Investment in career growth through specific programs and opportunities.
Unconditional inclusion: Flexible work arrangements, unconditional inclusion, and a force for good culture.

Working Hours: Full-time (40 hours per week) with flexible work arrangements for remote workers.

📝 Enhancement Note: The salary range provided is a guideline and may vary based on the factors mentioned above. The benefits package is comprehensive and designed to support the wellbeing and career growth of employees.

🎯 Team & Company Context

🏢 Company Culture

Industry: HPE operates in the technology industry, focusing on edge-to-cloud solutions and services.

Company Size: HPE is a large, global company with a diverse range of products and services, employing over 60,000 people worldwide.

Founded: HPE was founded in 1939 and has a rich history of innovation and technological advancements.

Team Structure:

The HPC team at HPE consists of performance engineers, architects, and software developers working collaboratively to optimize HPC systems.
The team works closely with other departments, including sales, marketing, and product management, to ensure customer needs are met and HPE's solutions remain competitive.

Development Methodology:

HPE uses Agile methodologies for software development, with a focus on continuous integration, continuous delivery, and DevOps practices.
The company emphasizes collaboration, cross-functional teamwork, and a customer-centric approach to product development.

Company Website: HPE Careers

📝 Enhancement Note: HPE's culture values innovation, collaboration, and a customer-centric approach, with a strong focus on continuous learning and improvement.

📈 Career & Growth Analysis

Web Technology Career Level: This role is at the mid-senior level, requiring a strong background in HPC performance engineering and a proven track record of optimizing large-scale clusters.

Reporting Structure: The HPC performance engineer typically reports to a team lead or manager within the HPC team, with a matrixed reporting structure to other departments as needed.

Technical Impact: This role has a significant impact on the performance and efficiency of HPC systems, ensuring optimal resource utilization and enhancing the capabilities of HPC solutions offered by HPE.

Growth Opportunities:

Technical Specialization: Deepen expertise in specific areas of HPC performance engineering, such as GPU optimization, network performance, or storage optimization.
Technical Leadership: Develop leadership skills and take on mentoring responsibilities within the HPC team, contributing to the growth and development of junior team members.
Architecture and Design: Gain experience in system architecture and design, contributing to the development of next-generation HPC solutions and standards.

📝 Enhancement Note: The career growth opportunities for this role are focused on technical specialization, leadership development, and architecture and design, with a strong emphasis on continuous learning and staying current with the latest advancements in HPC and related technologies.

🌐 Work Environment

Office Type: HPE offers a hybrid work environment, with a mix of on-site and remote work options depending on the role and team requirements.

Office Location(s): HPE has multiple office locations worldwide, with the primary locations for this role being Bloomington, Minnesota; Frisco, Texas; and Fort Collins, Colorado.

Workspace Context:

Collaboration: HPE's workspaces are designed to foster collaboration and teamwork, with open-plan offices, meeting rooms, and breakout spaces.
Technology: HPE provides state-of-the-art technology and tools to support the work of its employees, including high-performance workstations, monitors, and software development environments.
Flexibility: HPE offers flexible work arrangements, including remote work and flexible hours, to support the work-life balance of its employees.

Work Schedule: Full-time (40 hours per week) with flexible work arrangements for remote workers, including core hours and flexible scheduling.

📝 Enhancement Note: HPE's work environment is designed to be collaborative, flexible, and supportive of the work-life balance of its employees, with a focus on providing the tools and resources needed to succeed in their roles.

📄 Application & Technical Interview Process

Interview Process:

Technical Phone Screen: A brief phone screen to assess technical competency and cultural fit.
On-site or Virtual Technical Interview: A deeper dive into technical skills, with a focus on HPC concepts, parallel programming, and performance optimization techniques.
Behavioral Interview: An assessment of problem-solving skills, communication, and collaboration abilities.
Final Review: A review of the candidate's qualifications and fit for the role by HPE leadership.

Portfolio Review Tips:

Structure: Organize your portfolio with clear sections, highlighting relevant projects and accomplishments.
Demonstration: Prepare live demos or walkthroughs of your projects, focusing on performance optimization techniques and tools used.
Documentation: Include detailed documentation of your projects, explaining the challenges faced and the solutions implemented.

Technical Challenge Preparation:

HPC Fundamentals: Brush up on HPC concepts, parallel programming models, and performance optimization techniques.
Tool Familiarity: Become familiar with relevant tools and technologies, such as cluster management tools, job schedulers, and cloud provisioning.
Problem-Solving: Practice problem-solving skills and develop a structured approach to tackling performance issues in HPC systems.

ATS Keywords: HPC, SHMEM, performance engineering, parallel programming, system architecture, programming, scripting, tools and technologies, communication, collaboration, cloud architectures, cross-domain knowledge, design thinking, DevOps, distributed computing, microservices fluency, full-stack development, security-first mindset, solutions design, testing & automation, user experience (UX).

📝 Enhancement Note: The interview process for this role is designed to assess technical competency, problem-solving skills, and cultural fit, with a strong emphasis on HPC and performance optimization skills.

🛠 Technology Stack & Web Infrastructure

HPC Technologies:

Clusters: Experience with large-scale clusters, including multi-GPU and multi-node configurations.
Parallel Programming: Proficiency in parallel programming models, such as OpenMP, MPI, or accelerators like GPUs.
Performance Tools: Familiarity with performance analysis, profiling, and tuning tools, such as Vampir, Nsight, or PerfExpert.

HPC Benchmarks:

HPCG: Experience with the High-Performance Conjugate Gradient (HPCG) benchmark suite.
HPCC: Familiarity with the High-Performance Conjugate Gradient (HPCC) benchmark suite.
HPL: Experience with the High-Performance Linpack (HPL) benchmark.

Cloud Provisioning Tools:

OpenStack: Familiarity with OpenStack, a cloud computing platform.
Kubernetes: Experience with Kubernetes, a container orchestration platform.
Terraform: Proficiency in Terraform, an infrastructure as code (IaC) software tool.

📝 Enhancement Note: The technology stack for this role is focused on HPC technologies, parallel programming models, and performance optimization tools, with a strong emphasis on cloud provisioning and containerization.

👥 Team Culture & Values

HPE Values:

Innovation: HPE values innovation and continuous learning, with a strong focus on staying current with the latest advancements in technology.
Collaboration: HPE emphasizes collaboration and teamwork, with a focus on cross-functional collaboration and knowledge sharing.
Customer-centric: HPE is committed to understanding and meeting the needs of its customers, with a focus on delivering high-quality, innovative solutions.

Collaboration Style:

Cross-functional Integration: HPE encourages collaboration between development teams, architects, and other stakeholders, with a focus on optimizing code, improving system design, and integrating performance considerations throughout the development lifecycle.
Code Review Culture: HPE has a strong code review culture, with a focus on peer programming and knowledge sharing.
Knowledge Sharing: HPE encourages knowledge sharing and mentoring, with a focus on continuous learning and skill development.

📝 Enhancement Note: HPE's culture is focused on innovation, collaboration, and a customer-centric approach, with a strong emphasis on continuous learning and improvement.

🌐 Challenges & Growth Opportunities

Technical Challenges:

Performance Optimization: Continuously optimize performance across compute, storage, and communication layers, ensuring efficient resource utilization and enhancing the capabilities of HPC systems.
Emerging Technologies: Stay current with the latest advancements in HPC and related technologies, including cloud computing, containerization, and scheduling tools.
Troubleshooting: Triage and root-cause performance issues reported by customers, contributing to the delivery of high-quality HPC solutions.
Collaboration: Work closely with development teams, architects, and other stakeholders to optimize code, improve system design, and integrate performance considerations throughout the development lifecycle.

Learning & Development Opportunities:

Technical Specialization: Deepen expertise in specific areas of HPC performance engineering, such as GPU optimization, network performance, or storage optimization.
Technical Leadership: Develop leadership skills and take on mentoring responsibilities within the HPC team, contributing to the growth and development of junior team members.
Architecture and Design: Gain experience in system architecture and design, contributing to the development of next-generation HPC solutions and standards.

📝 Enhancement Note: The technical challenges and growth opportunities for this role are focused on performance optimization, staying current with emerging technologies, troubleshooting, and collaboration, with a strong emphasis on continuous learning and skill development.

💡 Interview Preparation

Technical Questions:

HPC Fundamentals: Prepare for questions on HPC concepts, parallel programming models, and performance optimization techniques, with a focus on large-scale clusters.
Tool Familiarity: Brush up on relevant tools and technologies, such as cluster management tools, job schedulers, and cloud provisioning, and be prepared to discuss your experience with these tools.
Problem-Solving: Develop a structured approach to tackling performance issues in HPC systems, and be prepared to discuss your problem-solving skills and strategies.

Company & Culture Questions:

HPE Culture: Research HPE's culture, values, and mission, and be prepared to discuss how your personal values align with the company's.
Team Dynamics: Familiarize yourself with the HPC team's structure, dynamics, and collaboration style, and be prepared to discuss your fit within the team.
Customer-centric Focus: Understand HPE's commitment to understanding and meeting the needs of its customers, and be prepared to discuss your approach to customer-centric problem-solving.

Portfolio Presentation Strategy:

Structure: Organize your portfolio with clear sections, highlighting relevant projects and accomplishments.
Demonstration: Prepare live demos or walkthroughs of your projects, focusing on performance optimization techniques and tools used.
Documentation: Include detailed documentation of your projects, explaining the challenges faced and the solutions implemented.

📝 Enhancement Note: The interview preparation for this role is focused on HPC concepts, tool familiarity, problem-solving skills, and understanding HPE's culture, values, and customer-centric approach.

📌 Application Steps

To apply for this HPC, SHMEM performance engineer position:

Tailor Your Resume: Highlight your relevant experience with HPC, parallel programming, and performance optimization, and emphasize your problem-solving skills and technical achievements.
Prepare Your Portfolio: Organize your portfolio with clear sections, focusing on performance optimization projects and accomplishments.
Research HPE: Familiarize yourself with HPE's culture, values, and mission, and prepare for company-specific questions.
Practice Interview Questions: Prepare for technical and behavioral interview questions, focusing on HPC concepts, tool familiarity, and problem-solving skills.
Prepare for the Technical Challenge: Brush up on HPC fundamentals, tool familiarity, and develop a structured approach to tackling performance issues in HPC systems.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and web technology industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

HPC, SHMEM performance engineer