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Freelance High Performance Computing Engineer Jobs in Illinois

Systems Engineer

Chicago, IL ยท On-site

$150K - $300K/yr

What You Will Do Grid & High-Performance Computing * Own and evolve Aquatic's Slurm and Ray cluster ... Developer Experience & Automation * Design and maintain provisioning systems for complex compute ...

... high-performance computing deployments, supporting the advancement of AI computing with precision, speed, and minimal downtime. Our network of 1,000+ field engineers operates globally, tackling the ...

What You'll Do: We're looking for engineers to join our FPGA team that is building next-generation ... This is an opportunity to work on complex problems around networking, high performance computing ...

What You'll Do: We're looking for engineers to join our FPGA team that is building next-generation ... This is an opportunity to work on complex problems around networking, high performance computing ...

Data Center Technician

Chicago, IL ยท On-site

$30 - $36/hr

... high-performance computing deployments, supporting the advancement of AI computing with precision, speed, and minimal downtime. Our network of 1,000+ field engineers operates globally, tackling the ...

Experience with high-performance computing, scalable memory allocation, and/or task scheduling * Knowledge of high-performance programming language such as C++ or Golang * Excellent ability to ...

Experience with high-performance computing, scalable memory allocation, and/or task scheduling * Knowledge of high-performance programming language such as C++ or Golang * Excellent ability to ...

Cluster Engineer Job Details The main duties are building, configuring, and maintaining high-performance computing test beds in an internal research lab. Predominantly, the work involves installation ...

Postdoctoral Fellow

Campus, IL ยท On-site

$47K - $64K/yr

Solid computing background or data experience, e.g., high-performance computing and machine learning. * Proficiency in Python, R, or related programming languages for data analysis and scientific ...

Senior Embedded Software Engineer

Chicago, IL ยท On-site

$127K - $167K/yr

A degree (PhD preferred) in Computer Engineering, Electrical Engineering, Computer Science, or related field with experience in high-performance computing (HPC). * Demonstrated experience owning ...

A degree (PhD preferred) in Computer Engineering, Electrical Engineering, Computer Science, or related field with experience in high-performance computing (HPC). * Demonstrated experience owning ...

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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:
Systems Engineer

$150K - $300K/yr

Other

Posted 9 days ago


Job description

Aquatic Capital Management is seeking a Systems Engineer to join our team. ย 

Systems Engineer

Infrastructure & Research Computing

Aquatic Capital Managementย  ย  Chicago, ILย  ย  Full-Time

About the Role

  • We are hiring a Systems Engineer to join our Infrastructure team. This is a senior individual contributor role with significant architectural ownership, and real accountability for how our research and trading systems compute.
  • You will own and evolve the compute infrastructure that powers quantitative research and production trading at Aquatic: our on-premise grid, hybrid cloud compute (GCP and AWS), GPU workloads, storage systems, and the automation that ties it all together.

What You Will Do

Grid & High-Performance Computing

  • Own and evolve Aquatic's Slurm and Ray cluster infrastructure across on-prem and GCP - supporting research and trading workloads including fitting, tuning, backtesting, feature computation, and market data processing.
  • Drive architectural improvements to capacity, scheduling efficiency, and throughput across the full footprint, including GPU computation.ย 
  • Design and maintain the connectivity and automation between on-prem and cloud environments
  • Evaluate and implement newer compute paradigms as research needs evolveย 

Storage & Performance

  • Own high-performance storage systems including VAST (NFS and S3-compatible), ensuring data access is fast and reliable across research, trading, and build workloads.
  • Investigate and resolve performance bottlenecks at the intersection of storage, network, and compute.

Developer Experience & Automation

  • Design and maintain provisioning systems for complex compute resources and datacenter onboarding.
  • Own and improve CI/CD infrastructure (GitHub Actions) as well as the development toolchain for the broader engineering organization.

Technical Leadership & Mentorship

  • Serve as the go-to architect for infrastructure decisions; provide technical direction and help establish vision across the team.
  • Pair with and mentor earlier-career Systems & Software Engineers, helping them develop sound instincts and grow their skills.
  • Diagnose and resolve the hardest, most obscure system issues that others cannot get to the bottom of.

What We Are Looking For

Required

  • 10+ years of experience in systems engineering, infrastructure, or a closely related discipline.
  • Deep Unix/Linux expertise across multiple distributions; comfortable at every layer of the stack.
  • Strong experience with HPC grid systems (SLURM preferred) in a research or scientific computing environment.
  • Experience provisioning and managing bare-metal infrastructure and data centers, not just cloud-native environments.
  • Familiarity with high-performance / parallel storage systems (VAST, GPFS, Lustre, or similar).
  • Strong scripting and automation fluency (Bash, Python, or similar); able to build tools that others rely on and to contribute to and own production codebases.
  • Ability to operate as an independent technical leader: establishing direction, building trusted relationships, and communicating clearly with stakeholders outside the team.

Strongly Preferred

  • Experience with distributed compute frameworks such as Ray, Dask, or Spark in a research context.
  • Low-level systems programming on Linux using C/C++, with a focus on performance and reliability.
  • Experience with GPU computation and instrumenting GPU utilization for ML/research workloads.
  • Hands-on experience building and operating cloud infrastructure on GCP (or comparable major cloud), including autoscaling compute clusters.
  • Strong networking fundamentals; able to design and troubleshoot complex network topologies including cloud interconnects.
  • Background working alongside quantitative researchers or software engineers in a trading, finance, or research-intensive organization.

What Makes You Stand Out

  • You have an architectural mindset: you think about how systems will fail before they do, and you build for stability and operational simplicity.
  • You are energized by the intersection of systems and the people who use them. You want researchers and engineers to have great tools, not just working ones.
  • You are a patient, generous mentor. You grow the people around you.
  • You are direct, give well-reasoned dissenting opinions when you have them, and do not let ideas roll by unchallenged when you see a better path.

The base salary for this role is anticipated to be between $150,000 and $300,000, which is based on information at the time of posting. This position may also be eligible for additional forms of compensation, such as a discretionary bonus, and benefits. Discretionary bonus can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their unique skills, qualifications and relevant experience.