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Freelance High Performance Computing Engineer Jobs in Illinois

Our global High Performance Computing Team is looking to add a Production Engineer in our Chicago office. The scale of our computing environments provides unique challenges in providing good ...

HPC Production Engineer

Chicago, IL · On-site

$150K - $200K/yr

Our global High Performance Computing Team is looking to add a Production Engineer in our Chicago office. The scale of our computing environments provides unique challenges in providing good ...

The Lead Software Engineer will be our most senior software engineer, leading and managing software ... high performance computing and electronic trading Facilitate and participate in sharing best ...

The Lead Software Engineer will be our most senior software engineer, leading and managing software ... high performance computing and electronic trading Facilitate and participate in sharing best ...

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Freelance High Performance Computing Engineer information

How do freelance High Performance Computing (HPC) Engineers typically collaborate with client teams during projects?

Freelance HPC Engineers often work closely with client engineering, research, or IT teams to design, implement, and optimize computational solutions. Collaboration usually occurs through regular virtual meetings, code reviews, and progress updates to ensure alignment with project goals and technical requirements. Clear communication and documentation are essential, as freelancers may need to integrate their work into larger systems or hand off projects to in-house teams. Building strong relationships and understanding the client's workflow help ensure successful project delivery and can lead to ongoing opportunities.

What is a Freelance High Performance Computing Engineer?

A Freelance High Performance Computing (HPC) Engineer is a professional who specializes in designing, implementing, and optimizing computing systems that handle complex, large-scale computations. They work independently or on a contract basis for different organizations, helping to develop and maintain supercomputers, clusters, and parallel processing applications. Their expertise is often sought in fields like scientific research, finance, artificial intelligence, and engineering where processing large datasets quickly is essential. Freelancers in this field typically possess strong programming skills, knowledge of HPC architectures, and experience with performance tuning and troubleshooting.

What are the key skills and qualifications needed to thrive as a Freelance High Performance Computing Engineer, and why are they important?

To thrive as a Freelance High Performance Computing Engineer, you need expertise in parallel programming, cluster management, and a strong background in computer science or engineering. Familiarity with tools such as MPI, OpenMP, Linux environments, and cloud-based HPC platforms, along with certifications in cloud services or HPC technologies, is highly beneficial. Excellent problem-solving, project management, and communication skills set top freelancers apart when working with diverse clients. These competencies ensure the delivery of optimized, scalable solutions and effective collaboration in complex technical projects.

What is the difference between Freelance High Performance Computing Engineer vs Freelance Data Scientist?

AspectFreelance High Performance Computing EngineerFreelance Data Scientist
CredentialsAdvanced degrees in computer science, engineering, or related fields; knowledge of HPC systemsDegree in data science, statistics, or related fields; proficiency in programming and analytics
Work EnvironmentSpecialized computing clusters, research labs, or cloud HPC platformsData analysis environments, cloud platforms, and business analytics tools
Industry UsageResearch institutions, scientific computing, engineering simulations
Search & Comparison IntentFocus on high-performance computing tasks, technical skills

While both roles involve advanced technical skills, Freelance High Performance Computing Engineers specialize in optimizing and managing large-scale computing resources for scientific and engineering applications. Freelance Data Scientists focus on analyzing data to extract insights for business or research purposes. The key difference lies in their core focus: HPC engineers work with hardware and system performance, whereas data scientists work with data analysis and modeling.

What are the most commonly searched types of High Performance Computing Engineer jobs in Illinois? The most popular types of High Performance Computing Engineer jobs in Illinois are:
What are popular job titles related to Freelance High Performance Computing Engineer jobs in Illinois? For Freelance High Performance Computing Engineer jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Freelance High Performance Computing Engineer jobs in Illinois look for? The top searched job categories for Freelance High Performance Computing Engineer jobs in Illinois are:
What cities in Illinois are hiring for Freelance High Performance Computing Engineer jobs? Cities in Illinois with the most Freelance High Performance Computing Engineer job openings:

Senior GenAI & High Performance Computing (HPC) Delivery Engineer

Dell, Inc.

Springfield, IL • On-site, Remote

$145K - $199K/yr

Full-time

Re-posted 4 days ago


Job description


Senior GenAI & High Performance Computing (HPC) Delivery Engineer
Dell Technologies has delivered HPC solutions for 25+ years, including support for Bright Cluster Manager (now NVIDIA BCM) since 2011. Today, Dell is NVIDIA's preferred partner for GenAI Factory systems, using Dell GenAI PowerEdge XE servers and NVIDIA NVAIE to help customers build and scale end to end GenAI and High-Performance Computing environments.
Join us to do the best work of your career and make a profound social impact as a Senior GenAI & High Performance Computing (HPC) Delivery Engineer on our Service Delivery Team in Austin, Texas or Remote United States. 50-70 % National Travel.
What you'll achieve
We're seeking a Senior GenAI & HPC Engineer with deep experience in GPU accelerated systems, Linux performance tuning, and benchmarking. This role is highly hands on and customer facing, supporting onsite deployments across the U.S. for advanced HPC and GenAI solutions.
You will work as a part of a team to help build, integrate, and test some of the world's largest multi GPU systems, benchmark them using industry standard tools, and deliver the next generations of AI and HPC infrastructure.
You will:
• Deploy, configure, and validate GPU accelerated compute clusters for AI, ML, and HPC with NVIDIA Base Command Manager (Warewulf and OpenHPC knowledge are a plus)
• Perform benchmarking with HPL GPU, HPL MxP, STREAM, NCCL, RCCL, OSU Microbenchmarks, and related tools
• Produce as-built documentation, performance reports, and share best practices amongst the team.
• Configure and secure RHEL, Ubuntu, Rocky for GenAI or HPC workloads
• Work directly with customers onsite (travel both regionally and across the U.S.)
Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role:
Essential Requirements
• 7+ years with HPC or GenAI clusters, GPU based systems, AI infrastructure, or related fields
• Deep hands on experience with GPU deployment, configuration, and multi-node testing using NVIDIA Base Command Manager
• Proficiency with benchmarking tools: HPL, STREAM, NCCL, RCCL, MxP, OSU Microbenchmarks
• Red Hat certification (RHCSA/RHCE) or 7+ years of relevant RH distros experience
• Experience with GenAI/HPC networking (InfiniBand and/or RoCE)
• Experience working in Linux based parallel computing environments at scale
• Experience with containers/orchestration (Docker, Singularity/Apptainer, Kubernetes, Slurm)
• Ability to travel up to 70% of the time across the U.S. as needed for projects
• Strong customer facing and communication skills
Desirable Requirements
• Bachelor's degree
• NVIDIA certifications (NCA, NCE, DGX)
• Experience with NVIDIA UFM, Infiniband, and SpectrumX fabrics
• Exposure to hybrid cloud or GPU cloud environments
• Experience with GPU observability/performance profiling tools
Compensation
Dell is committed to fair and equitable compensation practices. The salary range for this position is $145,000 to $199,100.
Benefits and Perks of working at Dell Technologies
Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at MyWellatDell.com
About Us
Who We Are
We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you.
Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.
Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy.
Visit our Culture Code page to learn more about how we work and lead.

DELL logo

About DELL

Sourced by ZipRecruiter

Dell Technologies helps organizations and individuals build a brighter digital tomorrow. Our company is made up of more than 150,000 people, located in over 180 locations around the world. We're proud to be a diverse and inclusive team and have an endless passion for our mission to drive human progress.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Round Rock, TX, US

Year founded

1984