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Remote Hpc System Engineer Jobs in Romeoville, IL

Ceribell, Inc

AI & Data Systems Engineer (Remote)

Chicago, IL · On-site +1

$161K - $173K/yr

The Ceribell System is a novel, point-of-care electroencephalography ("EEG") platform specifically ... The AI & Data Systems Engineer will be a key individual contributor on Ceribell's Data Architecture ...

Turnblock.io

Software Engineer Remote (Web3)

Chicago, IL · Remote

$200K - $250K/yr

... engineers to join them. This is a remote position for any US-based candidate. Our client ... system, contributing to the evolution of the blockchain technology landscape Stay up to date with ...

Old Mission

C++ Software Engineer

Chicago, IL · On-site +1

$175K - $300K/yr

In-depth knowledge of the Linux kernel, systems programming * A passion for solving challenging ... In office M-F with 10 remote days per year Base Salary Range $175,000 - $300,000 - Salaries are ...

Addison Group

Cloud Security Engineer

Chicago, IL · Remote

$57.50 - $76.75/hr

Cloud Security Engineer Remote/Onsite : 100% Remote Required Tech/Experience (Manager won't ... Create and maintain system documentation, architecture diagrams, and online collaborative ...

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All JobsHpc System Engineer JobsRemote Hpc System Engineer JobsRemote Hpc System Engineer Jobs in Romeoville, IL

Remote Hpc System Engineer information

See Romeoville, IL salary details

$54.5K

$129.7K

$170.3K

How much do remote hpc system engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for remote hpc system engineer in Romeoville, IL is $129,709.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,900.00 and $160,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote HPC System Engineer, and why are they important?

To thrive as a Remote HPC System Engineer, you need expertise in Linux system administration, parallel computing, networking, and a degree in computer science or related field. Familiarity with job schedulers (like Slurm), cluster management tools, scripting languages (such as Python or Bash), and certifications like CompTIA Linux+ or Red Hat Certified Engineer are highly valuable. Strong problem-solving abilities, effective communication, and self-motivation are essential soft skills for remote collaboration and troubleshooting. These skills ensure the reliable operation, optimization, and scalability of HPC systems in distributed environments.

What are some common challenges faced by Remote HPC System Engineers, and how can they be managed effectively?

Remote HPC System Engineers often encounter challenges such as troubleshooting complex hardware or software issues without physical access, ensuring seamless system performance, and coordinating with geographically dispersed teams. These can be managed by leveraging strong remote monitoring tools, maintaining clear documentation, and establishing effective communication channels with on-site staff. Proactively scheduling regular system health checks and participating in virtual team meetings can also help address problems quickly and maintain high system reliability.

What is the difference between Remote Hpc System Engineer vs Remote Cloud Infrastructure Engineer?

AspectRemote Hpc System EngineerRemote Cloud Infrastructure Engineer
CredentialsTypically requires Linux certifications, HPC-specific trainingOften requires cloud platform certifications (AWS, Azure, GCP)
Work EnvironmentHigh-performance computing clusters, research labsCloud platforms, data centers, virtualized environments
Industry UsageResearch, scientific computing, academiaTech, finance, enterprise IT
Search/Comparison IntentUnderstanding HPC-specific roles vs cloud rolesComparing on-premise HPC vs cloud infrastructure

The Remote Hpc System Engineer focuses on managing and optimizing high-performance computing clusters, often in research or scientific environments. In contrast, the Remote Cloud Infrastructure Engineer specializes in designing and maintaining cloud-based infrastructure across various industries. While both roles require technical expertise in system management, their environments and certifications differ, catering to distinct operational needs.

What are Remote HPC System Engineers?

Remote HPC (High Performance Computing) System Engineers are IT professionals who design, implement, manage, and troubleshoot HPC systems and clusters from a remote location. They work with advanced computing infrastructure that supports scientific research, complex simulations, and large-scale data processing. Their responsibilities include configuring hardware and software, monitoring system performance, ensuring security, and providing technical support to users, all while working off-site. This role requires strong expertise in HPC technologies, operating systems like Linux, networking, and scripting, as well as effective communication skills for collaborating with distributed teams.
What are popular job titles related to Remote Hpc System Engineer jobs in Romeoville, IL? For Remote Hpc System Engineer jobs in Romeoville, IL, the most frequently searched job titles are:
What job categories do people searching Remote Hpc System Engineer jobs in Romeoville, IL look for? The top searched job categories for Remote Hpc System Engineer jobs in Romeoville, IL are:
What cities near Romeoville, IL are hiring for Remote Hpc System Engineer jobs? Cities near Romeoville, IL with the most Remote Hpc System Engineer job openings:
Remote Hpc System Engineer jobs near you
Quantitative Researcher, Machine Learning - Work From Home

Quantitative Researcher, Machine Learning - Work From Home

Next Step Systems

Chicago, IL • On-site, Remote

Full-time

Medical, Retirement, PTO

Posted 2 days ago

Job description

Quantitative Researcher, Machine Learning - Work From Home
We are seeking a talented and self-motivated Quantitative Researcher to join our growing data science efforts. You will work in a collaborative team with the potential to deliver significant contributions through data-driven insights and by providing high-quality research tools enabling reproducible and well-tested research to take place across the firm. Our culture emphasizes teamwork and focuses on continuous integration and test-driven development.
The ideal candidate will be responsible for designing, developing, and enhancing our python data science tools and frameworks. This includes working collaboratively with multiple trading teams, conducting alpha research, identifying new trading opportunities, and monitoring models in production. This position is 100% Remote.
Quantitative Researcher Responsibilities:
- Develop predictive models and use data-driven insights to maximize strategy performance and identify new trading opportunities.
- Design and implement robust and scalable CI/CD data pipelines.
- Translate machine learning algorithms into code.
- Support current strategies and help develop new strategies utilizing our proprietary software.
- Stay up to date on cutting-edge machine learning techniques.
Quantitative Researcher Qualifications:
- Bachelors in mathematics, physics, computer science, or a related quantitative field with at least 4 years of relevant work experience or Masters/PhD in mathematics, physics, computer science, or a related quantitative field with at least 2 years of relevant work experience.
- Strong GPA (3.5 or higher).
- Strong knowledge of probability, statistics, and machine learning for time-series data.
- Excellent programming skills in Python (C++ familiarity is a plus).
- Experience with software engineering best practices including TDD and CI/CD.
- Experience with distributed computing.
- Prior experience developing on a Linux stack.
- Effective prioritization while being mindful of long-term objectives.
- Able to take ownership of projects in a fast-paced collaborative environment.
- Strong attention to detail.
- Outstanding communication skills to collaborate with different stakeholders across multiple geographical locations.
- Practical experience applying machine learning techniques for trading applications is preferred.
- Experience with high-performance computing (HPC) environments such as SLURM is preferred.
- Experience with orchestration and containerization tools (e.g. Singularity, Docker, Airflow, Prefect, etc.) is preferred.
Benefits include medical insurance, retirement plan, PTO, etc. Salary: 80K+ DOE. Keywords: Chicago IL Jobs, Quantitative Researcher, Python, Machine Learning, C++, TDD, CI/CD, Linux, Trading, HPC, SLURM, Orchestration, Containerization, Financial, Programmer Analyst, Programming, Software Developer, Remote, Work From Home, Chicago Recruiters, Information Technology Jobs, IT Jobs, Chicago Recruiting
Looking to hire for similar positions in Chicago, IL or in other cities? Our IT recruiting agencies and staffing companies can help.
We help companies that are looking to hire Quantitative Researchers for jobs in Chicago, Illinois and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today! Phone 630-428-0600 ext. 11 or email us at jobs@nextstepsystems.com. Click here to submit your resume for this job and others.
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