About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what’s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. About the Role Rivian internships are experiences optimized for student candidates. To be eligible, you must be an undergraduate or graduate student in an accredited program during the internship term with an expected graduation date between December 2026 through May 2028. Rivian’s Internship Program requires active student enrollment. Information regarding your expected degree completion date is collected solely to verify eligibility and determine your availability for future full-time opportunities. Rivian is an equal opportunity employer and does not use graduation dates to determine the age of applicants or as a basis for discriminatory hiring decisions.  If you are not pursuing a degree, please see our full time positions on our Rivian careers site.  Note that if your university has specific requirements for internship programs, it is your responsibility to fulfill those requirements.  The goal of this project is to support with prototyping embedded software for the next generation of autonomy platform. Responsibilities Integrate and validate device drivers for sensors and sensor processing engines in C programming language. Implement performance and functional tests for the device driver. Root cause and fix device driver code bugs. Develop Python based test scripts to validate the embedded software changes Develop and modify device drivers for Zephyr RTOS Requirements Must be currently pursuing a bachelors, masters, or PhD degree at the University of Illinois Urbana Champaign. Actively pursuing a degree or one closely related in Electrical Engineering, Computer Engineering, or Computer Science. Proficient in C programming. Experience with RTOS (Real time operating systems). Experience with FPGA platforms. Experience writing device driver in C programming language preferred. Must be located in Champaign, IL and able to work out of our office in the Research Park.  Must be available for 20 hours per week in the Fall and Spring and 40 hours in the summer. Please apply here: https://go.researchpark.illinois.edu/EmbeddedSoftware_Rivian

About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what’s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. About the Role Rivian internships are experiences optimized for student candidates. To be eligible, you must be an undergraduate or graduate student in an accredited program during the internship term with an expected graduation date between December 2026 through May 2028. Rivian’s Internship Program requires active student enrollment. Information regarding your expected degree completion date is collected solely to verify eligibility and determine your availability for future full-time opportunities. Rivian is an equal opportunity employer and does not use graduation dates to determine the age of applicants or as a basis for discriminatory hiring decisions.  If you are not pursuing a degree, please see our full time positions on our Rivian careers site.   Note that if your university has specific requirements for internship programs, it is your responsibility to fulfill those requirements.  Responsibilities Work w/ SoC validation team to refine and execute the SoC validation plan Use C/C++ software and FPGA technology to validate SoC for the next generation hardware design, enable SoC internal functional blocks and peripheral interfaces. Generate test coverage reports Build benchmark tools to evaluate performance of the hardware system, including throughput, latency, resource utilization, IO or compute frequency metrics Document validation progress and results in Rivian’s tracking system, to maintain good traceability  Requirements Must be currently pursuing a bachelors, masters, or PhD degree at the University of Illinois Urbana Champaign Actively pursuing a degree or one closely related in Electrical or Computer Science Engineering Proficient in C/C++ and scripting language (e.g., Python, Linux shell, etc.) Good knowledge in FPGA design and Verilog languages Strong analytical skills, written and verbal communication skills, and a team player Experience with courses or projects focusing on platform/embedded software development Prior experience in SoC peripheral interfaces like JTAG, I2C, UART, SPI, ethernet, DDR, PCIe is a plus Prior experience in AMD Zynq FPGA Petalinux development is a plus Please apply here: https://go.researchpark.illinois.edu/Validation_Rivian

About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what’s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. About the Role Rivian internships are experiences optimized for student candidates. To be eligible, you must be an undergraduate or graduate student in an accredited program during the internship term with an expected graduation date between December 2026 through May 2028. Rivian’s Internship Program requires active student enrollment. Information regarding your expected degree completion date is collected solely to verify eligibility and determine your availability for future full-time opportunities. Rivian is an equal opportunity employer and does not use graduation dates to determine the age of applicants or as a basis for discriminatory hiring decisions.  If you are not pursuing a degree, please see our full time positions on our Rivian careers site.   Note that if your university has specific requirements for internship programs, it is your responsibility to fulfill those requirements. Responsibilities  You will be responsible for individually designing equipment testing, automation, data collection, and data analysis scripts using: Python / MATLAB C on Microcontrollers (STM32, ESP32, Nordic, etc.) CAN Bus tools (PCAN, etc.)  Additionally, you will be responsible for completing deliverables for testing/data collection/ proof-of-concept using: Combinations of interconnected evaluation kits Custom PCBAs FW development Simple mechanical design Requirements Must be currently pursuing a bachelors, masters, or PhD degree at the University of Illinois Urbana Champaign Actively pursuing a degree or one closely related in Electrical Engineering, Computer Engineering, or Mechatronics. Familiarity with lab equipment – power supplies, function generators, oscilloscopes, multimeters. Ability to understand sensor datasheets (gain, offset, preload, etc.) Ability to read a circuit schematic/layout. Ability to modify/develop data collection/analysis scripts in Python. Ability to design simple mechanical structures/enclosures for 3D print. Ability to design custom circuit schematics/supervise PCB layout, preferred. Prior research experience related with hardware data collection systems and/or sensing systems, preferred. Must be available for 20 hours per week in the Fall and Spring and 40 hours in the summer. Please apply here: https://go.researchpark.illinois.edu/LowVoltageElectronics

About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what’s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. About the Role Rivian internships are experiences optimized for student candidates. To be eligible, you must be an undergraduate or graduate student in an accredited program during the internship term with an expected graduation date between December 2026 through May 2028. Rivian’s Internship Program requires active student enrollment. Information regarding your expected degree completion date is collected solely to verify eligibility and determine your availability for future full-time opportunities. Rivian is an equal opportunity employer and does not use graduation dates to determine the age of applicants or as a basis for discriminatory hiring decisions.  If you are not pursuing a degree, please see our full time positions on our Rivian careers site.  Note that if your university has specific requirements for internship programs, it is your responsibility to fulfill those requirements.  This Intern will be responsible for collaborating with the Electrical Hardware team to perform mechanical design using CAD tools, as well as mechanical modeling to ensure CAD design is robust for reliability and manufacturability. Responsibilities Create detailed CAD drawings using Solidworks, Catia, or Creo. Collaborate with engineers to develop innovative designs that meet project specifications Use software tools such as SOLIDWORKS for modeling and visualization of designs Assemble components and create accurate schematics for various systems Engage in system design processes, ensuring all components fit together seamlessly Write scripts using Perl, Python, tcl, Cadence SKILL, and C++ Mechanical simulation (FEA) to analyze CAD design to ensure its robustness for stress/strain and manufacturability. Requirements Must be currently pursuing a bachelors, masters or PhD degree at the University of Illinois Urbana Champaign. Actively pursuing a degree or one closely related in Mechanical Engineering Experience with FEA (finite element analysis) using Ansys mechanical, Abquas, or similar CAD design experience using Catia, Solidworks or similar Effective verbal and written communication skills to collaborate with engineering teams and document findings clearly, ensuring that insights are understood across disciplines. Must be enrolled in the University of Illinois Urbana Champaign Must be located in Champaign, IL  and able to work out of our office in the Research Park. Must be available for 20 hours per week in the Fall and Spring and 40 hours in the summer. This project will require weekly task status update and monthly project update. Please apply here: https://go.researchpark.illinois.edu/MechanicalModeling_Rivian

About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what’s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. About the Role Rivian internships are experiences optimized for student candidates. To be eligible, you must be an undergraduate or graduate student in an accredited program during the internship term with an expected graduation date between December 2026 through May 2028. Rivian’s Internship Program requires active student enrollment. Information regarding your expected degree completion date is collected solely to verify eligibility and determine your availability for future full-time opportunities. Rivian is an equal opportunity employer and does not use graduation dates to determine the age of applicants or as a basis for discriminatory hiring decisions.  If you are not pursuing a degree, please see our full time positions on our Rivian careers site.  Note that if your university has specific requirements for internship programs, it is your responsibility to fulfill those requirements.  In this role, you will work with cross-functional teams including electrical, mechanical, ADAS perception, embedded software, sensors, and vehicle integration to refine and execute ADAS system validation plan and test suite on Rivian’s test vehicles. Responsibilities Design and Implement tool kits (HW and SW) for ADAS system end-to-end validation and benchmark on test vehicles. Collect performance data from on-board ADAS system using the developed tool kits, perform data characterization and analysis. Generate, and present test reports to cross-functional teams. Troubleshoot issues or performance gaps identified from validation process. Work with internal and external stakeholders to identify and implement solutions to resolve or mitigate these issues. Document validation process and results in Rivian’s tracking system to maintain good traceability. Data analysis and report generation. Requirements Must be currently pursuing a bachelors, masters, or PhD degree at the University of Illinois Urbana Champaign. Actively pursuing a degree or one closely related in Electrical Engineering, Computer Engineering, or Computer Science. Knowledge of automotive engineering and ADAS System. Experience in MATLAB, Python, C/C++ or equivalent tools for modeling and analysis. Advanced knowledge in general software engineering (git, Linux, build systems, design patterns, automated testing, debugging). Experience with shell script. Excellent organizational and communication skills (both written and verbal). Strong analytical capabilities. Experience with analog and digital circuit design and PCBA. Experience on using test and measurement equipment like oscilloscopes. Must be located in Champaign, IL  and able to work out of our office in the Research Park. Must be available for 20 hours per week in the Fall and Spring and 40 hours in the summer. This project will require weekly task status update and monthly project update. Please apply here: https://go.researchpark.illinois.edu/ADASHWSystemsValidation_Rivian

About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what’s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. About the Role Rivian internships are experiences optimized for student candidates. To be eligible, you must be an undergraduate or graduate student in an accredited program during the internship term with an expected graduation date between December 2026 through May 2028. Rivian’s Internship Program requires active student enrollment. Information regarding your expected degree completion date is collected solely to verify eligibility and determine your availability for future full-time opportunities. Rivian is an equal opportunity employer and does not use graduation dates to determine the age of applicants or as a basis for discriminatory hiring decisions.  If you are not pursuing a degree, please see our full time positions on our Rivian careers site.  Note that if your university has specific requirements for internship programs, it is your responsibility to fulfill those requirements.  This role would focus on supporting power and performance tradeoff analysis on hardware for machine learning models. Responsibilities Work on software tools for machine learning compiler to enable interence of deep learning networks on Rivian Hardware. Work closely with software engineers to bringup up new models using compiler constraints on Rivian hardware. Analyze compiler generated solutions and evaluate for performance and memory usage. Verify functionality through functional simulation or emulation. Analyze tradeoffs on various performance metrics including accuracy, latency, and throughput. Requirements Must be currently pursuing a bachelors, masters, or PhD degree at the University of Illinois Urbana Champaign. Actively pursuing a degree or one closely related in Computer Engineering or Computer Science. Solid programming skills in C/C++ and Python. Willingness to dig into low level software programming if need be. Good understanding of algorithms for Computer Vision applications, Deep Learning, Natural Language Processing, Artificial Intelligence or related fields Strong mathematical background and capability to analyze results Good understanding of software fundamentals Understanding of core deep learning principles (e.g., transformer architecture basics) Working knowledge of PyTorch for fine tuning and evaluating ML models. Must be available for 20 hours per week in the Fall and Spring and 40 hours in the summer. Please apply here: https://go.researchpark.illinois.edu/MachineLearningHardware_Rivian

About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what’s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. About the Role Rivian internships are experiences optimized for student candidates. To be eligible, you must be an undergraduate or graduate student in an accredited program during the internship term with an expected graduation date between December 2026 through May 2028. Rivian’s Internship Program requires active student enrollment. Information regarding your expected degree completion date is collected solely to verify eligibility and determine your availability for future full-time opportunities. Rivian is an equal opportunity employer and does not use graduation dates to determine the age of applicants or as a basis for discriminatory hiring decisions.   If you are not pursuing a degree, please see our full time positions on our Rivian careers site.  Note that if your university has specific requirements for internship programs, it is your responsibility to fulfill those requirements.  We are seeking an intern  for the ML Compiler team working on software tools to enable inference of deep learning networks hardware on Rivian Hardware Platforms. You will work closely with the Rivian Autonomy and Hardware teams and evaluate various implementation targeting for performance. You will help bring up new hardware and add support in the compiler for these hardware features. Responsibilities Work on the ML Compiler for mapping Autonomy ML models to Rivian Autonomy Processor (RAP1). Implement graph lowering passes in the compiler to enable compiling various models to RAP1. Implement hardware-aware optimizations, memory-efficient representations, and operator fusion, targeted to RAP1. Benchmark and analyze system performance across platforms and iterate to achieve optimal deployment efficiency. Verify functionality through functional simulation or emulation. Requirements Must be currently pursuing a bachelors, masters, or PhD degree at the University of Illinois Urbana Champaign Actively pursuing a degree or one closely related in Engineering  Good understanding of algorithms for Computer Vision applications, Deep Learning, Natural Language Processing, Artificial Intelligence or related fields. Experience with ML compilation stacks Strong mathematical background and capability to analyze results. Good understanding of software fundamentals. Excellent C++ and Python programming skills. Must be enrolled in the University of Illinois Urbana Champaign. Must be able to work out of our office in the Research Park. Must be available for 20 hours per week in the Fall and Spring and 40 hours in the summer. This project will require weekly task status updates and monthly project updates. Please apply here: https://go.researchpark.illinois.edu/MachineLearningCompiler_Rivian

About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what’s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. About the Role Rivian internships are experiences optimized for student candidates. To be eligible, you must be an undergraduate or graduate student in an accredited program during the internship term with an expected graduation date between December 2026 through May 2028. Rivian’s Internship Program requires active student enrollment. Information regarding your expected degree completion date is collected solely to verify eligibility and determine your availability for future full-time opportunities. Rivian is an equal opportunity employer and does not use graduation dates to determine the age of applicants or as a basis for discriminatory hiring decisions.   If you are not pursuing a degree, please see our full time positions on our Rivian careers site.   Note that if your university has specific requirements for internship programs, it is your responsibility to fulfill those requirements.  In this role, you will assist in developing computational methods for physics-based simulations. The project(s) will primarily focus on one or more of the following: numerical analysis, scientific computing, 2D/3D finite-element (FE) methods for electromagnetic, structural, and thermal analysis, computational fluid dynamics (CFD), computational geometry, NVH, meta-modeling, data analysis, machine learning (ML), process automation, and optimization. Responsibilities Develop in-house tools and numerical methods for physics-based simulations. Apply computational geometry techniques to develop, modify, and analyze engineering designs. Develop scripts to streamline product development and automate workflows. Use data analysis, meta-modeling, and machine learning to enhance simulation efficiency.  Perform design optimization through simulation-driven analysis. Requirements Must be currently pursuing a masters or PhD degree at the University of Illinois Urbana Champaign Actively pursuing a degree or one closely related in Engineering Strong background in mathematical analysis, scientific computing, numerical methods and algorithm development. Proficiency in programming: C/C++, Fortran, Matlab, Python, etc. Experience in high-performance computing (HPC) and cloud computing. Experience in statistical methods: data analysis, machine learning, and artificial intelligence. Experience in finite-element analysis: electromagnetic, structural, and thermo-fluids. Must be enrolled at the University of Illinois Urbana Champaign. Must be able to work out of our office in the Research Park. Must be available for 20 hours per week in the Fall and Spring and 40 hours in the summer. This project will require a weekly task status update and monthly project update. Please apply here: https://go.researchpark.illinois.edu/ComputationalMethodsDevelopment_Rivian

Job Description There are over 7 billion people on this planet. And by 2050, there will be 2 billion more… many moving into urban centers at an unprecedented rate. Making sure there is enough food, fiber and infrastructure for our rapidly growing world is what we’re all about at John Deere. And it’s why we’re investing in our people and our technology like never before! Here the world’s brightest minds are tackling the world’s biggest challenges. If you believe one person can make the world a better place, we’ll put you to work. RIGHT NOW. John Deere is an equal opportunity employer, including disabled & veterans.  Primary Location: United States (US) – Iowa  – Ames, IA Function: Data and Analytics (CA) Title: Part-Time Student – Data Science & Analytics – Ames, IA, Champaign, IL or Austin, TX – 118837 Onsite/Remote: Onsite Position Note: Relocation assistance is not provided. The Part-Time Student Program is primarily designed to augment the Company’s regular full-time staff and is for students who work in parallel to their school schedule YEAR-ROUND. Your Responsibilities As a Part-Time Student – Data Science and Analytics for JD Intelligent Solutions Group (ISG) located in Ames, IA, Champaign, IL or Austin, TX, you will… Utilize analytics techniques to clean, preprocess, explore, and analyze data sets and extract actionable insights for advanced automation & sensing projects. Collaborate in a fun, friendly, and fast-paced team environment across disciplines and with key stakeholders to deliver data-driven solutions for the business Present your findings in meetings and translate your results into reports and presentations This position is not available to students on immigration visas. What Skills You Need Must be registered as a full-time student at a U.S. accredited college/university. Graduation date of Spring 2027 or later Cumulative GPA of 2.8 or above Working knowledge of Python and other programming languages with generally high technical capability. School and/or work experience analyzing text and/or numerical data and building models. Good knowledge of one or more of the following: machine learning, Bayesian statistics, AI, signal processing, optimization, operations research, applied statistical analysis, algorithmic modeling techniques. Experience with complex data visualization methods Pursuing a Bachelor’s, Master’s, or PhD Degree in Agriculture, Computer Science, Data Analytics, Data Science, Engineering, Math, operations research, or Statistics; others may apply. What Makes You Stand Out Knowledge of transformers, CNNs, Large Language Models (LLMs) Knowledge of sensing technologies/hardware/IoT Domain knowledge in Crop Science, Agricultural Machinery, Soil Science, or GIS Knowledge of Pytorch, Databricks, ArcGIS, Git, Jupyter Notebooks, SQL Understanding of common machine learning algorithms and how to build predictive model At John Deere, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. Here, you’ll enjoy the freedom to explore new projects, the support to think outside the box and the advanced tools and technology that foster innovation and achievement. Additionally, we offer a comprehensive reward package to help you get started on your new career path, including: Flexible work arrangements Highly competitive base pay Paid time off and holidy pay Savings & Retirement benefits (401K and Defined Benefit Pension) Healthcare benefits with a generous company contribution in the Health Savings Account Adoption assistance Employee Assistance Programs Tuition assistance Fitness subsidies and on-site gyms at specific Deere locations Charitable contribution match Employee Purchase Plan & numerous discount programs for personal use $15 – $40 hourly based on published rates for business function and education level. Follow this link to learn more about our Total Rewards Package https://bit.ly/3XCd8fL Must be 18 years of age or older to apply The information contained herein is not intended to be an exhaustive list of all responsibilities and qualifications required of individuals performing the job. The qualifications detailed in this job description are not considered the minimum requirements necessary to perform the job, but rather as guidelines. To apply, please use this link: Part-Time Student – Data Science & Analytics – Ames, IA, Champaign, IL or Austin, TX | Careers at John Deere

About Dow At Dow, we believe in putting people first and we’re passionate about delivering integrity, respect and safety to our customers, our employees and the planet. Our people are at the heart of our solutions. They reflect the communities we live in and the world where we do business. Their diversity is our strength. We’re a community of relentless problem solvers that offers the daily opportunity to contribute with your perspective, transform industries and shape the future. Our purpose is simple – to deliver a sustainable future for the world through science and collaboration. If you’re looking for a challenge and meaningful role, you’re in the right place. About the Role Dow is excited to pilot our Dow Career Experiences program with UIUC, adapting our proven internal gig model to create industry‑sponsored opportunities for graduate students to work on industrially relevant problems, right from their university campus.  As industrial employers increasingly seek work-ready graduates, our University Gig Program helps provide students more insight to the evolving skill demands of the workforce and the real-world challenges. A significant portion of Dow’s polyethylene product volume is used in film applications, particularly multilayer films. In these structures, layers of carefully selected properties and defined thicknesses are combined to achieve product properties beyond individual material potentials. Multilayer films are complex systems and selection of components and structures are often connected to deep subject matter expertise. In order to preserve knowledge and enable systematic evaluations numerous fundamental models have been developed over the years, many within Dow’s research organization. With the rise of machine learning, data driven methods became an additional tool in the toolbox for modeling these types of systems. The goal of this work is to conduct a thorough evaluation of data-driven and hybrid fundamental / machine learning methods for modeling the performance of polymeric multilayer films with a special focus on packaging applications and polyolefins. Dow will provide a dataset for benchmarking of the methods, and potentially contribute fundamental or semi-empirical relationships to complement machine learning models. Requirements PhD students currently enrolled in chemistry, chemical engineering, and material science engineering, graduating after 2026 Part‑time commitment (5-10 hours/week, 7-10 weeks) Short‑term, project‑based work, paired with Dow mentor(s) Paid opportunities (32/hr) Projects completed on the student’s university campus Responsibilities Hands‑on, experiential learning focused on industrially relevant skillsets Opportunity to make real‑world impact Deeper understanding of a career in industry Exposure to and expansion of a professional industry network Literature review of machine learning in polymeric multilayer performance modeling. Computational implementation of the methods in a designated environment. Integration of fundamental and semi-empirical methods. Evaluation of prediction accuracy, data requirements, and interpretability of the various workflows. How to Apply: Please send your resume/CV and a cover letter (optional) to Qiang Liu (qliu3@dow.com), Associate R&D Director of External Technology.