Lead multidisciplinary design reviews and approve engineering drawings across electrical ... Benefits * Full-time position with a fully remote working model. * Opportunity to take a leading ...
New
Lead multidisciplinary design reviews and approve engineering drawings across electrical ... Benefits * Full-time position with a fully remote working model. * Opportunity to take a leading ...
New
Position require remote location Missouri only Do you like helping customers implement innovative ... HPC), advanced analytics, digital engineering, and manufacturing systems modernization-directly ...
Position require remote location Missouri only Do you like helping customers implement innovative ... HPC), advanced analytics, digital engineering, and manufacturing systems modernization-directly ...
Position require remote location Missouri only Do you like helping customers implement innovative ... HPC), advanced analytics, digital engineering, and manufacturing systems modernization-directly ...
Position require remote location Missouri only Do you like helping customers implement innovative ... HPC), advanced analytics, digital engineering, and manufacturing systems modernization-directly ...
Remote Hpc Engineer information
What is a remote HPC engineer?
Remote HPC (High Performance Computing) Engineers are professionals who design, implement, and manage high-performance computing systems, typically from a remote location. They work with powerful computer clusters and supercomputers to support complex computations in fields like scientific research, engineering, and data analysis. Their responsibilities include configuring hardware and software, optimizing system performance, troubleshooting issues, and ensuring the security and reliability of HPC resources. By working remotely, these engineers can support organizations and research teams around the world without needing to be physically present at the data center.
What skills and qualifications are needed to be a remote HPC engineer?
To thrive as a Remote HPC Engineer, you need a solid background in computer science or engineering, expertise in high-performance computing architectures, and experience with parallel programming. Familiarity with HPC job schedulers (like Slurm), Linux systems, distributed storage, and relevant certifications (such as CompTIA Linux+ or HPC-specific credentials) are commonly required. Strong problem-solving abilities, effective communication, and self-motivation are vital soft skills for addressing complex technical challenges remotely. These competencies ensure efficient system performance, seamless collaboration, and successful support of computational research or enterprise workloads.
How do remote HPC engineers collaborate with on-site teams to manage high-performance computing clusters?
Remote HPC Engineers often rely on robust communication tools and version control systems to coordinate with on-site system administrators, researchers, and IT staff. They participate in regular virtual meetings to discuss cluster performance, resolve technical issues, and plan for upgrades or maintenance. Secure remote access protocols allow engineers to monitor, troubleshoot, and configure systems from afar, but effective collaboration also depends on clear documentation and periodic knowledge sharing sessions. Building strong relationships with on-site personnel helps ensure smooth operations and prompt resolution of any hardware or software challenges.
What is the difference between Remote Hpc Engineer vs Remote Cloud Engineer?
| Aspect | Remote Hpc Engineer | Remote Cloud Engineer |
|---|---|---|
| Required Credentials | Bachelor's in Computer Science or related, certifications like HPC or Linux | Bachelor's in Computer Science or related, cloud certifications (AWS, Azure) |
| Work Environment | High-performance computing clusters, research labs, data centers | Cloud platforms, virtual environments, cloud service providers |
| Employer & Industry Usage | Research institutions, scientific organizations, tech companies | Tech firms, startups, enterprises using cloud infrastructure |
| Common Search & Comparison | Yes | Yes |
The main difference between a Remote Hpc Engineer and a Remote Cloud Engineer lies in their focus areas. Hpc Engineers specialize in high-performance computing systems used for scientific and research purposes, while Cloud Engineers focus on designing and managing cloud-based infrastructure. Both roles require technical expertise and certifications, but their work environments and industry applications differ significantly.
What are popular job titles related to Remote Hpc Engineer jobs in Missouri?
For Remote Hpc Engineer jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Hpc Engineer jobs in Missouri look for?
The top searched job categories for Remote Hpc Engineer jobs in Missouri are:
Head of Data Center Design
On-site, Remote
Jobgether
Full-time
Posted 3 days ago
New
Job description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Head of Data Center Design based in Netherlands.
As Head of Data Center Design, you will take ownership of the technical vision and architecture for a major next-generation AI data center development in Europe.
You'll lead design decisions across power, cooling, IT infrastructure, fire protection, networking, and structural considerations.
The role offers significant technical influence, from early site feasibility and concept development through detailed engineering and construction execution.
You'll establish the Basis of Design and ensure that multidisciplinary teams remain aligned with performance, capacity, efficiency, and reliability objectives.
Working with technology partners and implementation teams, you'll ensure approved designs translate effectively into real-world infrastructure.
The environment is international, technically complex, and focused on large-scale, high-density compute infrastructure.
This is an opportunity to shape a critical infrastructure project designed to support the rapidly growing demands of AI and advanced computing.
Accountabilities
- Own the overall technical design, architecture, and engineering vision for large-scale data center facilities.
- Define and maintain the Basis of Design, covering modular POD architecture, cooling strategy, power topology, fire suppression, networking, and other critical infrastructure requirements.
- Establish design standards for IT deployment, including rack layouts, containerization approaches, and CDU placement.
- Lead multidisciplinary design reviews and approve engineering drawings across electrical, mechanical, structural, fire protection, and networking disciplines.
- Establish and monitor design-stage targets for PUE, capacity, availability, redundancy, and reliability.
- Coordinate with equipment manufacturers, technology providers, and engineering partners on technical specifications and integration requirements.
- Work closely with implementation and construction teams to ensure that physical execution remains aligned with the approved design intent.
- Assess and approve proposed design changes, evaluating their potential impact on cooling, power, capacity, redundancy, performance, and reliability.
- Lead technical criteria for site selection and feasibility assessments, including power availability, grid connectivity, cooling options, and other infrastructure considerations.
- Provide technical leadership throughout the design lifecycle and ensure consistent engineering standards across projects and disciplines.
- 5+ years of experience in data center design or in the design of critical infrastructure, industrial, energy, or similarly complex facilities; direct data center experience is highly valued but not mandatory.
- Demonstrated ownership of, or significant contribution to, Basis of Design documentation for large-scale facilities.
- At least 3 years of experience in a design leadership or technical leadership position.
- Strong technical knowledge of power distribution/topology and cooling strategies, with sufficient working knowledge of fire suppression and structural loading to coordinate effectively across disciplines.
- Proven experience leading multidisciplinary design reviews and reviewing or approving engineering drawings across multiple technical trades.
- Strong ability to translate technical requirements into clear design standards, decisions, and execution requirements.
- Excellent stakeholder management and communication skills, with the ability to collaborate with engineering teams, technology partners, suppliers, and construction teams.
- Professional English proficiency sufficient for international technical documentation, meetings, and stakeholder communication.
- Experience with modular or POD-based deployment architectures and high-density GPU/HPC environments is a strong advantage.
- Knowledge of direct liquid cooling (DLC) systems is beneficial.
- Tier III/IV certification or experience working with Uptime Institute certification processes is advantageous.
- Experience conducting technical site feasibility assessments, including power availability, grid connection, and cooling source evaluation, is a plus.
- Familiarity with high-density GPU infrastructure such as NVIDIA GB200/GB300 or equivalent platforms is desirable.
- Experience spanning both data center design and construction execution is highly valued.
- Knowledge of EU regulatory requirements covering power, environmental, and building compliance is an advantage.
- Full-time position with a fully remote working model.
- Opportunity to take a leading technical role in the development of large-scale AI data center infrastructure.
- Significant ownership over architectural and engineering decisions across the full data center lifecycle.
- Exposure to advanced high-density compute, modular infrastructure, power, and cooling technologies.
- International working environment with collaboration across engineering, technology, and implementation teams.
- Opportunity to influence a major infrastructure project supporting the rapidly expanding AI and HPC ecosystem.
- Broad scope spanning site feasibility, design leadership, technology integration, and construction execution.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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