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Parallel Computing Jobs in Illinois (NOW HIRING)

... parallel, showcasing an ability to prioritize tasks and allocate resources efficiently. • ... computing, containerization, and microservices. • Fluent in English, with the ability to ...

Knowledge of GPU computing (CUDA or equivalent), parallel processing, and high-performance computing. * Experience with AI-enabled imaging capabilities such as image segmentation, image enhancement ...

Sr. Streaming Engineer

Chicago, IL · On-site +1

$126K - $166K/yr

... computing frameworks like FLINK, Apache Spark, Kafka Streams, etc [Required] Experience with ... and parallel systems, large software system development, security software development, public ...

Sr. Streaming Engineer

Chicago, IL · Hybrid

$126K - $166K/yr

... distributed computing frameworks like FLINK, Apache Spark, Kafka Streams, etc * [Required ... and parallel systems, large software system development, security software development, public ...

Sr. Streaming Engineer

Chicago, IL · On-site +1

$126K - $166K/yr

... distributed computing frameworks like FLINK, Apache Spark, Kafka Streams, etc • [Required ... and parallel systems, large software system development, security software development, public ...

Sr. Streaming Engineer

Chicago, IL · Hybrid

$126K - $166K/yr

... distributed computing frameworks like FLINK, Apache Spark, Kafka Streams, etc • [Required ... and parallel systems, large software system development, security software development, public ...

$145K/yr

Experience with generic and/or parallel programming * Deeper understanding of any of the following ... computing * The ability to react quickly and accurately to rapidly changing market conditions ...

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Showing results 41-60

Parallel Computing information

See Illinois salary details

$24.2K

$50.7K

$87.7K

How much do parallel computing jobs pay per year?

As of Aug 23, 2026, the average yearly pay for parallel computing in Illinois is $50,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,800.00 and $57,700.00 per year, depending on experience, location, and employer.

What is parallel computing?

Parallel computing is a type of computation where many calculations or processes are carried out simultaneously, leveraging multiple processors or computers to solve complex problems more efficiently. It divides large tasks into smaller ones that can be executed concurrently, significantly speeding up processing time. Commonly used in scientific research, data analysis, and engineering, parallel computing is essential for handling large-scale simulations and big data applications.

What are some common challenges faced by professionals working in parallel computing roles?

Professionals in parallel computing often encounter challenges such as efficiently dividing complex tasks among multiple processors and minimizing communication overhead between them. Debugging and optimizing performance across parallel architectures can be difficult, as issues like race conditions and load imbalances frequently arise. Additionally, staying current with evolving hardware technologies and parallel programming frameworks is essential to ensure solutions remain efficient and scalable. Collaborating with cross-functional teams, such as data scientists and system architects, is also crucial for integrating parallel solutions into larger projects.

What are the key skills and qualifications needed to thrive as a parallel computing specialist, and why are they important?

To thrive as a Parallel Computing Specialist, you need strong knowledge of computer architecture, parallel algorithms, and experience with programming languages such as C/C++, Python, and frameworks like MPI or OpenMP, often supported by a degree in computer science or a related field. Familiarity with high-performance computing (HPC) environments, GPU programming (CUDA, OpenCL), and cloud-based parallel processing systems is typically required. Analytical thinking, problem-solving abilities, and effective collaboration are crucial soft skills in this role. These skills are vital for efficiently designing, optimizing, and implementing solutions that leverage parallelism to significantly accelerate computational tasks.

What is the difference between Parallel Computing vs Data Analyst?

AspectParallel ComputingData Analyst
Required CredentialsComputer Science or Engineering degree, programming skillsStatistics, Data Science, or related degree, analytical skills
Work EnvironmentResearch labs, tech companies, high-performance computing centersBusiness, finance, healthcare, corporate offices
Industry UsageTechnology, research, scientific computingBusiness intelligence, market analysis, reporting

While Parallel Computing focuses on developing algorithms to process large data sets efficiently across multiple processors, Data Analysts interpret data to provide actionable insights. Both roles require strong technical skills but serve different purposes: one enhances computational performance, the other informs business decisions.

Is parallel computing hard?

Parallel computing as a job involves designing and managing systems that perform multiple calculations simultaneously, which requires strong problem-solving skills, knowledge of algorithms, and proficiency with programming tools like MPI or OpenMP. The difficulty depends on the complexity of tasks and the level of expertise, but it generally involves understanding concurrency, synchronization, and performance optimization. Gaining experience through coursework, certifications, and hands-on projects can help reduce the learning curve.

What are popular job titles related to Parallel Computing jobs in Illinois?

For Parallel Computing jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Parallel Computing jobs in Illinois look for?

The top searched job categories for Parallel Computing jobs in Illinois are:

Infographic showing various Parallel Computing job openings in Illinois as of August 2026, with employment types broken down into 40% Full Time, and 60% Contract. Highlights an 100% In-person job distribution, with an average salary of $50,738 per year, or $24.4 per hour.

Senior Project Manager

Aeris

Chicago, IL • On-site

Full-time

Re-posted 2 hours ago


Job description

Job Summary:
Aeris is a trusted cellular IoT leader enabling significant IoT programs across various sectors. As a Senior Project Manager for Automotive & IoT Connectivity, you will lead strategic projects, manage complex integrations, and ensure successful delivery of cutting-edge connected vehicle and IoT solutions.
Responsibilities:
• Lead large-scale Automotive IoT & IoT platform projects from concept through launch
• Manage multiple competing activities in parallel, showcasing an ability to prioritize tasks and allocate resources efficiently.
• Collaborate closely with automotive OEMs, Tier 1 suppliers, mobile network operators, and internal/external engineering teams to ensure project success.
• Create and implement effective project structures when needed, ensuring a clear and organized approach to project execution.
• Have a vision to elevate the project office to the next level by harnessing new ways of working, including the use of Gen AI, and building and developing a highly effective team.
• Facilitate effective communication among stakeholders, maintaining transparency on status, milestones, and potential risks.
• Ensure all stakeholders are well-informed about project status, milestones, and potential risks through effective communication channels.
• Demonstrate a proactive approach to problem-solving and decision-making, contributing to the overall success of the Project Management Office (PMO).
• Exhibit strong business acumen, balancing customer requirements with company revenue objectives.
• Ability to communicate and engage with customers fluently in the connected vehicle area
• Drive and support the design and deployment of 4G/5G Core networks and IoT SaaS-based solutions for our customers and partners.
• Engage in technical discussions with customers, partners, and internal engineering teams.
Qualifications:
Required:
• 10+ years of project management experience, with at least 5 years focused on Automotive IoT, connected car, telematics, or automotive electronics projects.
• Proven track record managing complex, multi-party projects within the automotive industry (OEM, Tier 1, or technology provider environments preferred).
• Experience in the telecom industry, particularly with 4G and 5G standards, IoT, and IP networks.
• Long experience in agile software development methodologies.
• Knowledge of cloud services, such as serverless computing, containerization, and microservices.
• Fluent in English, with the ability to communicate effectively in a multicultural and multinational environment.
• Strong internal drive and a history of making things happen.
• Bachelor’s degree or higher in a relevant field; advanced degrees preferred.
• PMP or equivalent certification is a strong plus.
Company:
Aeris is the only cellular network designed and built exclusively for machines. Founded in 1992, the company is headquartered in San Jose, USA, with a team of 501-1000 employees. The company is currently Growth Stage.