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Computer Engineer Jobs in Champaign, IL (NOW HIRING)

Build, test and optimize CUDA/C++ libraries across different platforms What we need to see: * BS, MS, or PhD in Computer Science, Computer Engineering, or closely related field (or equivalent ...

... Computer Science, Computer Engineering, or closely related field (or equivalent experience) 15+ years of work experience in software development Outstanding technical skills in designing and ...

Hydraulics and pneumatics design * CAD * Foreign languages desirable * C/C++/VB programming knowledge * Microsoft Office * Database design * Advanced control techniques * Project Management * Create ...

Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field; Master's degree preferred. * 10+ years of embedded software development experience.

Current enrollment in a BS in Computer Science, Data Science, Statistics, Computer Engineering, and Physics at the University of Illinois Urbana-Champaign. Or equivalent software development ...

Current enrollment in a BS in Computer Science, Data Science, Statistics, Computer Engineering, and Physics at the University of Illinois Urbana-Champaign. Or equivalent software development ...

Showing results 21-40

Computer Engineer information

See Champaign, IL salary details

$48.6K

$121.7K

$137.7K

How much do computer engineer jobs pay per year?

As of Sep 15, 2026, the average yearly pay for computer engineer in Champaign, IL is $121,693.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,700.00 and $131,700.00 per year, depending on experience, location, and employer.

What is a computer engineer?

A computer engineer designs, researches, tests, and develops computer equipment and software such as circuit boards, chips, routers, and application programs. Computer engineers analyze complex equipment and systems to understand the best way to improve it. They create new types of information technology devices and use logic and reasoning to hone in on goals, test assumptions, and identify the strengths and weaknesses of alternative solutions to problems. Engineers often work in teams and have to be able to communicate with other types of engineers, including non-technical team members. Computer engineers make sure that components fit together properly and function according to the latest software developments.

What are the key skills and qualifications needed to thrive as a computer engineer?

To thrive as a Computer Engineer, you need a strong background in computer science, mathematics, and hardware/software design, typically supported by a bachelor’s degree in computer engineering or a related field. Familiarity with programming languages (such as C/C++ or Python), circuit design tools, and industry certifications like CompTIA or Cisco are highly valuable. Problem-solving, teamwork, and effective communication are essential soft skills that set top performers apart. These abilities ensure that computer engineers can design, implement, and optimize systems that meet technical requirements and business goals.

What are common challenges computer engineers face when working on cross-functional teams?

Computer engineers often collaborate with software developers, hardware designers, and project managers, which can present challenges in aligning technical requirements and communication styles. Ensuring that everyone has a clear understanding of system limitations and integration points is crucial, as miscommunication can lead to project delays or rework. Staying adaptable and proactively clarifying expectations helps computer engineers navigate these collaborative environments successfully.

What is the difference between Computer Engineer vs Software Developer?

AspectComputer EngineerSoftware Developer
Required CredentialsBachelor's in Computer Engineering or related field; certifications like Cisco, CompTIABachelor's in Computer Science or Software Engineering; certifications like Microsoft, AWS
Work EnvironmentDesigning hardware, embedded systems, and software integration in labs or officesWriting, testing, and maintaining software applications in offices or remote setups
Employer & Industry UsageTech companies, manufacturing, telecommunications, embedded systemsIT firms, software companies, startups, enterprise software development

Computer Engineers focus on both hardware and software systems, often working on embedded systems and hardware integration. Software Developers primarily create and maintain software applications. While their roles overlap in programming, Computer Engineers have a broader scope including hardware design, whereas Software Developers specialize in software solutions.

What are the most commonly searched types of Computer Engineer jobs in Champaign, IL?

The most popular types of Computer Engineer jobs in Champaign, IL are:

What are popular job titles related to Computer Engineer jobs in Champaign, IL?

For Computer Engineer jobs in Champaign, IL, the most frequently searched job titles are:

What cities near Champaign, IL are hiring for Computer Engineer jobs?

Cities near Champaign, IL with the most Computer Engineer job openings:

Infographic showing various Computer Engineer job openings in Champaign, IL as of September 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $121,693 per year, or $58.5 per hour.

Principal Systems Software Engineer - NVIDIA

Champaign, IL • On-site

$135K - $181K/yr

Other

Posted 16 days ago


Key responsibilities

  • Develop Java, Scala, and CUDA/C++ libraries to accelerate DataFrames and I/O operations on common file formats such as Parquet, ORC, and JSON.

  • Work with open source communities to enhance libraries like NVIDIA cuDF, CCCL, and UCX through technical discussion and code contributions.

  • Collaborate with distributed systems teams to craft solutions to distributed processing problems at large scale.


Job description

NVIDIA is a global leader in accelerated computing. It designs graphics processing units (GPUs) and chip units for mobile computing, automotive, gaming, and professional markets.


NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world.


Please see the Research Park Tenant Directory for more information. NVIDIA – Research Park


About the role


NVIDIA is seeking a Sr. Systems Software Engineer for the Apache Spark Acceleration group. Over the past five years GPU accelerated data processing has moved from proof of concept to production deployments. Many enterprises are now recognizing the needs of accelerated computing to handle their large data processing needs. Multi-node GPU deployments will reduce cloud computing costs and lower latency batch ETL workloads.


At NVIDIA, we have been invested in accelerating Apache Spark, providing an open source plugin for Apache Spark. Apache Spark is the most popular data processing engine in data centers. We strive to accelerate Spark applications on GPUs without any code changes. We are passionate about working on hard problems that have an impact. You will need to have strong programming skills, a deep understanding of software development related to C++. You will work with a team that is using open source libraries like RAPIDS to accelerate reading, writing and batch data operations in Spark.


Requirements

  • BS, MS, or PhD in Computer Science, Computer Engineering, or closely related field (or equivalent experience)

  • 15+ years of work experience in software development

  • Outstanding technical skills in designing and implementing high-quality distributed systems

  • Excellent programming skills in C++, Java, and/or Scala

  • Ability to work with teams across organizational boundaries and geographies

  • Familiarity with the open source data platform ecosystem (Apache Spark, Velox, Presto, Apache Arrow, Apache DataFusion, etc.). Meaningful contributions to the OSS community a plus.

  • Highly motivated with strong interpersonal skills

  • Database query optimization is a strong plus


Responsibilities

  • Develop Java, Scala and CUDA/C++ libraries to accelerate DataFrames and I/O operations on common file formats such as Parquet, ORC and JSON

  • Enable interoperability with table formats such as Apache Iceberg and Delta Lake, and metastores such as Unity Catalog

  • Work with open source communities to enhance libraries like NVIDIA cuDF, CCCL and UCX through technical discussion and code contributions

  • Collaborate with distributed systems teams to craft solutions to distributed processing problems challenges at large scale

  • Provide recommendations and feedback to teams regarding decisions surrounding topics such as infrastructure, continuous integration and testing strategy

  • Build, test and optimize CUDA/C++ libraries across different platforms


Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD – 431,250 USD.


You will also be eligible for equity and benefits.


Applications for this job will be accepted at least until July 19, 2026.

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