Contribute to the development and deployment of secure RAG pipelines in an HPC Linux environment ... Flexible Work Environment - Remote work options and flexible scheduling available * Multiple ...
Quick apply
Contribute to the development and deployment of secure RAG pipelines in an HPC Linux environment ... Flexible Work Environment - Remote work options and flexible scheduling available * Multiple ...
Software Integration Engineer - TS/SCI with Poly
Annapolis Junction, MD · On-site +1
$114K - $153K/yr
Provide ownership for integration and sustainment of HPC software tools Minimum Qualifications ... Flexible Work Environment - Remote work options and flexible scheduling available * Multiple ...
Quick apply
Software Integration Engineer - TS/SCI with Poly
Annapolis Junction, MD · On-site +1
$114K - $153K/yr
Provide ownership for integration and sustainment of HPC software tools Minimum Qualifications ... Flexible Work Environment - Remote work options and flexible scheduling available * Multiple ...
Senior Communications Manager
College Park, MD · On-site +1
Our work sits at the edge of science and engineering. It's complex, demanding, and deeply ... Remote
Senior Communications Manager
College Park, MD · On-site +1
Our work sits at the edge of science and engineering. It's complex, demanding, and deeply ... Remote
Senior Capture Manager AAS
Columbia, MD · On-site +1
$174K - $262K/yr
... HPC), AI, cloud, and mission programs. The Capture lead will be responsible for leading, developing ... Position can be 100% remote depending on location. Approximately 20-40% of work time will be on ...
Senior Capture Manager AAS
Columbia, MD · On-site +1
$174K - $262K/yr
... HPC), AI, cloud, and mission programs. The Capture lead will be responsible for leading, developing ... Position can be 100% remote depending on location. Approximately 20-40% of work time will be on ...
Remote Hpc Engineer information
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.
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 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.
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 are the most commonly searched types of Hpc Engineer jobs in Maryland? The most popular types of Hpc Engineer jobs in Maryland are:
What are popular job titles related to Remote Hpc Engineer jobs in Maryland? For Remote Hpc Engineer jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Remote Hpc Engineer jobs in Maryland look for? The top searched job categories for Remote Hpc Engineer jobs in Maryland are:
What cities in Maryland are hiring for Remote Hpc Engineer jobs? Cities in Maryland with the most Remote Hpc Engineer job openings:
Full-time
Medical, Dental, Vision, Retirement, PTO
Re-posted 5 days ago
Job description
Software Engineer
$160k- $230k
Location: Annapolis Junction, MD
Clearance Required: TS/SCI with Polygraph
Experience Level: 7+ years of experience
Education: Bachelor's degree in Computer Science, Engineering, or related field
Position Summary:
We are seeking a skilled and mission-driven Software Engineer to support the ML Frameworks team. In this role, you will contribute to the design, development, and deployment of a Retrieval-Augmented Generation (RAG) solution within a high-performance computing (HPC) Linux environment. This position is ideal for someone with a strong Linux background and a passion for AI/ML technologies, especially Large Language Models (LLMs) and secure AI systems.
Primary Responsibilities:
- Contribute to the development and deployment of secure RAG pipelines in an HPC Linux environment
- Work with cutting-edge AI/ML technologies, including LLM orchestration frameworks, embedding models, and inference platforms
- Develop and maintain services using Python and Golang
- Build and manage containerized services using Docker, Podman, and containerd
- Deploy services using orchestration tools like Kubernetes and Docker Compose
- Automate and monitor workflows with CI/CD pipelines, using GitLab CI and version control with Git
- Integrate monitoring tools such as Prometheus and Grafana for performance and reliability
- Participate in system administration, including Linux CLI, shell scripting, and general support tasks
- Active TS/SCI clearance with Polygraph
- Bachelor’s degree in Computer Science, Engineering, or a related technical field
- 7+ years of professional software engineering experience
- Strong experience with Linux system administration, CLI, and shell scripting
- Proficiency in Python and Golang
- Familiarity with RAG pipelines, LLMs, and knowledge retrieval systems
- Experience with containerization technologies and orchestration tools (Docker, PodMan, Kubernetes, Docker Compose)
- Solid understanding of CI/CD principles and related tools (GitLab CI)
- Experience with metrics and monitoring tools (e.g., Prometheus, Grafana)
- Experience using Git for version control
- Experience with GPU-enabled applications and debugging tools
- Familiarity with LLM orchestration frameworks and OpenAPI
- Experience with distributed processing frameworks such as Spark, Dask, or Ray
- Familiarity with SQL, Elasticsearch, and vector databases
- Experience with HTMX or Hyperscript
- Understanding of multi-node, multi-GPU AI training environments
- Knowledge of AI inferencing platforms such as Nvidia NIM/TRITON, vLLM, or Ray-based deployment
- Experience with the Atlassian suite (Confluence, Jira)
Our client offers a highly competitive and comprehensive benefits package designed to support your personal and professional growth, while promoting a healthy work-life balance. Benefits include:
100% Employer-Paid Health, Dental, and Vision Insurance – Full coverage for employees
Zero Vesting 401(k) Plan with 10% Company Contribution – Immediate access to all contributions
31 Days of Paid Time Off – Includes vacation, personal time, and all federal holidays
Student Loan Repayment Assistance – Helping you pay down your educational debt
Unlimited Certification & Training Support – Invest in your professional development
Flexible Work Environment – Remote work options and flexible scheduling available
Multiple Incentive Bonuses – Performance-based rewards throughout the year
Exclusive Company Memberships – Access to curated memberships and employee perks
This package reflects our client’s commitment to empowering their employees with meaningful benefits and recognizing outstanding performance.
We are an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other protected status under applicable law.