Full Time

ABOUT UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN This position offers flexibility to work fully on campus, hybrid, or remotely; however, the employee must live within a reasonable commuting distance of campus. Occasional in-person attendance is required for meetings, events, or other onsite needs with short notice. This position is not eligible for immigration sponsorship. The University of Illinois Urbana–Champaign is a public land-grant research university in Illinois in the twin cities of Champaign and Urbana. It is the flagship institution of the University of Illinois system and was founded in 1867. The university serves the people of Illinois through a shared commitment to excellence in teaching, research, public engagement, economic development and health care. Faculty, staff and students share their knowledge, expertise and resources with residents in every corner of the state through public service and outreach programs. Sponsored Programs Administration (SPA) is a central service unit under the Office of the Vice Chancellor for Research and Innovation, dedicated to supporting the University’s research enterprise throughout the full lifecycle of externally sponsored projects. SPA assists faculty and research teams from the earliest stages of proposal review and submission through award negotiation, setup, administration, and final closeout. The unit ensures compliance with university policies and sponsor requirements, providing expert guidance that enables researchers to navigate complex funding environments and focus on advancing their work. SPA is organized into pre-award and post-award sections, working collaboratively to deliver comprehensive support from proposal to project completion. Please see the SPA website for more information. Office of the Vice Chancellor – SPA Job Summary Provide strategic and operational leadership for Pre-Award sponsored programs administration at the University of Illinois, Urbana-Champaign. Direct professional staff supporting externally funded research and related activities; ensuring compliance with federal, state, university, and sponsor requirements. Oversee all Pre-Award operations throughout the sponsored project lifecycle, foster a culture of innovation and excellence and provide advisory support to the campus research community to advance the institution’s research mission. Duties & Responsibilities Work in close collaboration with the Assistant Vice Chancellor for Research and Innovation (AVCRI) and the Sponsored Programs Administration (SPA) Directors to manage the institutional sponsored portfolio. Establish and maintain Pre-Award standard operating procedures for processing and records management, proposal submission, award negotiation, and subaward issuance to ensure efficient service delivery. Interpret, develop, and implement policies and procedures related to Pre-Award administration, ensuring compliance with federal and state laws, sponsor regulations and University requirements. Monitor policy changes from sponsoring agencies, assess impacts to SPA Pre-Award and lead implementation efforts. Collaborate with the AVCRI to identify policy gaps, recommend improvements and/or changes to align with SPA’s mission. Supervise SPA Pre-Award Associate Directors and/or Assistant Directors and oversee their management of operational teams. Conduct performance appraisals, approve leave, monitor workloads and address disciplinary matters. Support career development and provide guidance for effective team leadership. Work in close collaboration with the AVCRI and SPA Directors to ensure functional support and resources across the lifecycle is sufficient for SPA operations. Oversee electronic research systems supporting Pre-Award functions. Evaluate administrative processes to identify opportunities for improvement, such as the integration of artificial intelligence, to streamline workflows and enhance efficiency. Collaborate with SPA Directors to implement integrated automated workflows across the sponsored project lifecycle. Lead Pre-Award data collection, interpretation and analysis to improve quality, inform strategic decisions and advance SPA and the Office of the Vice Chancellor for Research and Innovation (OVCRI) goals. Respond to Pre-Award information requests and provide guidance as necessary. Develop and implement Pre-Award focused training and outreach efforts for the institutional research community. Support Sponsored Programs and Research Compliance (SPaRC) activities and other relevant venues. Develop and present updates to these programs as needed as related to the Pre-Award operations. Analyze and monitor federal, state and sponsoring agency policy and regulatory changes impacting the University’s research enterprise. Assess institutional impact, advise campus leadership and stakeholders on critical and/or sensitive issues impacting research administration. Assist in the implementation of new regulatory requirements, including the development of University policies and procedures. Represent SPA Pre-Award at national, regional and institutional meetings. Serve as a delegated signatory for the University Comptroller. Provide leadership and direction with other duties appropriate for the position of SPA Director Pre-Award. Minimum Qualifications Bachelor’s degree. A minimum of ten years relevant work experience, including demonstrated leadership, organizational and administrative skills related to Pre-Award administration in a complex academic research institution. A minimum of five years of supervisory experience or equivalent experience demonstrating the, ability to lead teams and individuals to develop and accomplish shared goals. Preferred Qualifications Master’s degree preferred but a Bachelor of Science will be considered/accepted if accompanied by equivalent experience in research administration. Ten years of research administration experience preferably at a large academic research institution. Knowledge, Skills and Abilities Required: Comprehensive understanding about federal research policies, practices, and trends; demonstrated leadership skills that reflect a dynamic, collegial, consensus-building style; strong commitment to the development of high quality training programs for University staff; demonstrated administrative skills to organize and manage a customer-service oriented work environment that adheres to complex regulations and guidelines while developing effective internal research administration support; demonstrated leadership skills to identify and develop successful strategies to achieve organizational goals and objectives; highly developed verbal and written communications skills; exceptional interpersonal skills; strong analytical skills; effective mentoring skills and a commitment to establish a work environment that encourages personal growth and professional advancement. Preferred: Demonstrate understanding and leadership in the development and enhancement of automated workflow/processes and systems that support the operation of sponsored programs administration. Appointment Information This is a 100% full-time Academic Professional position, appointed on a 12-month basis. The expected start date is as soon as possible after the close date. The budgeted salary range for the position is $145,000 to $165,000. Salary is competitive and commensurate with qualifications and experience, while also considering internal equity. Application Procedures & Deadline Information Applications must be received by 6:00 pm (Central Time) on Friday, January 23, 2026. Apply for this position using the Apply Now button at the

ABOUT NVIDIA 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’s products, hardware and software, are world leaders for performance and efficiency. We are continually innovating in creative and unique ways to improve our ability to deliver extraordinary solutions across a wide range of sectors. We are seeking System Software Engineers who are passionate about what they do and are committed to making a difference in the world through their inventions. In the Software Development Tools Team, we enable 1st & 3rd-party developers to turn NVIDIA’s hardware into groundbreaking cluster, server, professional, consumer, automotive, and embedded solutions. Requirements BS, MS, or PhD in EE, CE, CS, or Systems Engineering (or equivalent experience). 12+ years of experience in a related hardware/software position. Excellent problem solving, collaborative, and interpersonal skills. Experience working with international teams preferred. Experience creating monitoring, profiling, or optimization software tools for developers working on large scale systems. Responsibilities Partner with system architects, product definition engineers, software/firmware engineers, HW/SW applications engineers and operations, in a multifaceted, dynamic, high-energy work environment to bring industry-defining products to market. Recommending options and advocating for the needs of profiling tools in hardware development discussions. Providing explanation of and use cases for new hardware feature exposure in software development tools. Design & build the premiere multi-discipline GPU+CPU+networking profiling tool in the industry. You will have the opportunity to work with researchers and real world developers who are doing important work to improve computers and computing systems. Build software tools that enable developers across a spectrum of markets to optimize their workflows; enable complex computer systems doing ongoing work in High Performance Computing(HPC), Machine Learning, Deep Learning, Artificial Intelligence, Autonomous Machines, pro-visualization, and even entertainment. Enable work in tiny embedded and automotive systems. Our tools span the gamut. Your day to day work will still contain coding, primarily in C/C++ with some Python. You’ll work with customers and engineers across teams to explore problems, find solutions, write functional requirements docs and designs, drive execution, and deliver multi-functional software solutions. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD – 356,500 USD. Apply here: https://go.researchpark.illinois.edu/NVIDIA_LeadSystemSoftwareEngineer

ABOUT NVIDIA 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 We are now looking for a Research Scientist with a focus in System Software and I/O! NVIDIA is seeking Research Scientists with a focus in System Software and System I/O Architecture to contribute to the development of future fast, scalable storage accesses by GPU threads. Scalable systems in a post-Moore world require co-optimization of architecture, runtime systems, operating systems, and compilers, to achieve high throughput while improving energy efficiency. We are seeking candidates with a proven track record of research excellence, systems-building experience, a broad perspective across the field of system software, depth in I/O system software, I/O systems architectures, deep knowledge in GPU architecture, proficiency in CUDA programming, programming large-scale clusters, and experience in profiling and system performance analysis tools. NVIDIA has pioneered programmable GPUs and the CUDA language, and is a world leader in high-performance and AI computing technology, with ambitious plans for future processors. This position offers you the opportunity to have a real impact in a multifaceted, technology-focused company. Requirements A Ph.D. in CE/CS/EE or equivalent experience with a strong background 5+ years of research work experience in computer architecture, operating systems, system administration, compilers, and/or HPC. A strong publication, patent, presentation, and research collaboration history is a huge advantage. Demonstrated expertise in one specific area of the above topics with the ability to become the go-to resource within a team from differing backgrounds. Experience with experimental computer architecture research, software infrastructure development and evaluation. A track record of well-documented open-source software release. Experience with C, C++, CUDA, Python, and scripting languages. MPI and NACL would be a plus. Strong interpersonal skills are needed and being a creative and dynamic presenter is a huge advantage. Ability to work with emerging workloads such as recommender systems, graph analytics, and data frames. Responsibilities Develop novel architectures and system software implementations to enable scalable multi-GPU platforms. Understand and analyze the interplay between operating systems, CPU and GPU architectures, and efficient algorithm designs. Collaborate with a diverse set of teams across the company, spanning software research, hardware engineering, and product groups. Publish original research and speak at conferences and events. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD – 299,00. Apply here: https://go.researchpark.illinois.edu/NVIDIA_SeniorResearchScientist

ABOUT NVIDIA 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) 12+ 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 Highly motivated with strong interpersonal skills OS kernel dev experience is a strong plus Responsibilities Develop CUDA/C++ libraries to accelerate DataFrames and I/O operations on common file formats such as Parquet, ORC and JSON Collaborate with distributed systems teams to craft solutions to distributed processing problems challenges at large scale Work with open source communities to enhance libraries like RAPIDS, CCCL and UCX through technical discussion and code contributions 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 – 425,500 USD. Apply here: https://go.researchpark.illinois.edu/NVIDIA_PrincipalSystemsSoftwareEngineer

ABOUT NVIDIA 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 Distinguished 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 for large scale data processing. Multi-node GPU deployments will reduce cloud computing costs and lower latency of large scale data processing. 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. Our OSS RAPIDS Spark library is integrated with on-premise and cloud services such as AWS EMR, Databricks, Google Dataproc, Oracle Cloud Data Flow, Bytedance Volcengine, Tencent Cloud and Cloudera. You will serve as a hands-on architect of Nvidia Spark Acceleration Group. You will work with a team of distributed system engineers including PMC and Committers of Apache Spark, Apache Hadoop, Apache Hive, and Apache Arrow. You will engage in open source projects such as Apache Spark, RAPIDS, Apache Iceberg, Delta Lake, UCX and more. Requirements BS, MS, or PhD in Computer Science, Computer Engineering, or closely related field (or equivalent experience) 17+ years of work or research experience in software development Prior experience in delivering complex software projects as a lead architect Outstanding technical skills in designing and implementing high-quality distributed systems Excellent programming skills in C++, Java, and/or Scala Highly motivated with strong interpersonal skills and communication skills 5+ years working experience with key open source big-data projects as a contributor or committer to Apache Spark, Apache Hadoop, Apache Flink, Apache Kafka, Apache Hive, Apache Arrow, Delta Lake Excellent knowledge about distributed system schedulers: Kubernetes, Hadoop YARN, Apache Spark Able to delve into a new area and quickly come up to speed Able to work with teams across boundaries and geographies Responsibilities Lead the architecture, design and implementation of accelerated Apache Spark and related big-data frameworks Engage open source communities (including Apache Spark, RAPIDS, Apache Iceberg, Delta Lake and UCX) for technical discussion and contribution, and engage new communities where we may not have a strong presence yet Work with NVIDIA partners to deploy GPU enabled data analytics solutions in public cloud or on-premises clusters Present technical solutions at industry conferences and meetups Collaborate with distributed systems teams to define 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 Build automation and tools that will increase the productivity of teams developing distributed systems Mentor members of the engineering team Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 308,000 USD – 471,500 USD. Apply here: https://go.researchpark.illinois.edu/NVIDIA_DistinguishedEngineer_ApacheSpark

ABOUT NVIDIA 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. About the role NVIDIA is looking for outstanding software engineers to help us expand our enterprise GPU management and monitoring tools. In this role you will work closely with the broader NVIDIA team to design and build Linux-based management agents, CLI tools and end-to-end integration solutions that combine GPUs with the rest of the data center software management ecosystem. You will also help maintain our containerized build environment, build process, CI/CD pipelines and infrastructure, and packaging. We are focused on supporting NVIDIA products across HPC, cloud and enterprise on both bare metal and virtualized platforms as the role of GPUs in all of these environments expands rapidly. Your contributions will span many aspects of GPU system integration, including telemetry and metrics, health checks, diagnostics, configuration, accounting and policy. These tools fill roles of both passive background monitoring and active online management with a core emphasis on operational transparency and seamless integration in customer environments. Your code will support single node developer systems through large clusters with thousands of nodes. To be successful you will need to have a strong Linux C/C++ background, familiarity with distributed software development and a proven work ethic. You will be expected to jump in quickly and provide important contributions from day one. This is a dynamic work environment with many exciting opportunities awaiting. NVIDIA GPUs are central to many hot trends in the enterprise, cloud and datacenter. Come join us as we craft the future of accelerated compute and AI. Please see the Research Park Tenant Directory for more information. NVIDIA – Research Park Requirements BS or higher in Computer Science or equivalent experience. 5+ years of meaningful industry experience with a strong C++ development background User space development and debugging expertise under Linux environments Experience packaging software for Linux package managers (DEB and RPM) Experience using Kitware utilities to manage builds (CMake, CPack, CTest) Experience with APIs and interface design Outstanding written and verbal interpersonal skills. Strong motivation and commitment to learn new skills Ability to execute all aspects of the software development lifecycle. Ability to manage time in a fast, heavily multitasked environment Responsibilities Develop robust, scalable C++ user space data center management system software under Linux Build and maintain user-space libraries, agents, plugins, bindings and CLI tools Enable GPU management integration with the OSS ecosystem, including Kubernetes and Docker Maintain build and CI/CD processes to deliver our product on CUDA-supported OSes. Support internal and external users through bug fixes, documentation and feature improvements Maintain high quality products through robust test coverage and smart design Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD – 235,750 USD. Apply here: https://go.researchpark.illinois.edu/SeniorDCsystemSoftwareEngineer

About MSA MSA specializes in the sustainable development of communities. We achieve this by building honest, open relationships that go beyond the project to become a trusted source of expertise and support for immediate challenges and long-term goals. Big or small, we do whatever it takes to meet each need, working to make communities stronger in the process. About the Role MSA is excited to announce an opportunity for a Senior Project Manager Engineering at our Champaign, IL office. This position is on our Public Works Service line and works closely with a wide variety of Wisconsin municipal clients as a project manager for civil engineering projects. Projects may range from roads, utilities, water/sewer, site development, wastewater, and more. Job Requirements Bachelor’s degree in Civil Engineering (or related) required 10+ years of prior experience within the Public Works market serving multiple clients required PE license strongly preferred Experience in managing multiple projects and client needs required Extensive knowledge of regulations and requirements within Illinois preferred Experience with funding and grants available to municipalities preferred The selected candidate must be authorized to work for any employer in the U.S. without requiring visa sponsorship now or in the future. We are unable to provide or take over sponsorship of an employment visa for this role Responsibilities Client relations including attendance at client meetings and interaction with existing and new clients Project management including project planning, scoping, budgeting and QA/QC Design of public works infrastructure projects Assist with mentoring junior engineering staff Preparation of plans, details, specifications, and bidding documents Preparation of technical reports and regulatory permits for projects Administration of construction on public works infrastructure projects Compensation The salary for this position ranges from $99,000 to $159,000. To apply, please use this link: https://go.researchpark.illinois.edu/Riverbed_DeveloperTools/ProductBuildEngineer

About Riverbed Riverbed, the leader in AI observability, helps organizations optimize their user’s experiences by leveraging AI automation for the prevention, identification, and resolution of IT issues. With over 20 years of experience in data collection and AI and machine learning, Riverbed’s open and AI-powered observability platform and solutions optimize digital experiences and greatly improves IT efficiency. Riverbed also offers industry-leading Acceleration solutions that provide fast, agile, secure acceleration of any app, over any network, to users anywhere. Together with our thousands of market-leading customers globally – including 95% of the FORTUNE 100 – we are empowering next-generation digital experiences. Please see the Research Park Tenant Directory for more information. Riverbed – Research Park About the Role The Engineering Build Operations team at Riverbed is a skilled team of developers who work with other teams to improve engineering productivity. Our team has a high standard for repeatability, reliability, and robustness in the tools and services that we deploy and maintain. Our objective is to streamline engineering’s operational practices and drive continuous improvements in quality, reliability, and efficiency. You’ll be working with collaborative, motivated, professional engineers who are intent on getting the right result, utilizing cutting-edge methodologies to create new tools and enhance existing ones. We are looking for passionate, out-of-the-box thinkers who want to take pride in building, releasing, and supporting cloud and on-premise applications and appliances. Job Requirements Bachelor’s degree in Computer Science or equivalent work experience Strong computer science fundamentals: data structures, algorithms, programming languages, distributed systems and computer networking Ability to collaborate effectively across multiple teams Experience writing code in an Object-Oriented programming paradigm Experience building and/or maintaining build and development pipelines Strong Linux skills and have hands on experience to troubleshoot issues Experience with common scripting languages including Ruby, Perl, JavaScript Experience with Linux packaging tools (RPM) and Apache Build Tools Knowledge of best practices for creating and consuming REST APIs Experience writing library level code and python packages Experience using code inspection tools, debuggers, and profilers Responsibilities Develop automation to reduce/remove manual operations (Python, Java, bash, ssh, Linux, git) Improve robustness by adding metrics, monitoring, and automatic recovery (Icinga, DataDog, PagerDuty) Continue to build out a mulit-geo team of build engineers Continue to revise, improve and create build pipelines and build pipeline enhancements Rotate with other team members as first point-of-contact for helping other with tools and services (Jira, Confluence) Add functionality to CI/CD pipelines (Bamboo, Jenkins, Bitbucket) Work with the team using agile development processes (Scrum, Kanban) Maintain/update deployments in cloud environments (Ansible, AWS, Azure, GCP, OpenStack, Kubernetes) To apply, please use this link: https://go.researchpark.illinois.edu/Riverbed_DeveloperTools/ProductBuildEngineer