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Research Engineer
Nuclear, Plasma, and Radiological Engineering
The Grainger College of Engineering
University of Illinois Urbana\-Champaign
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The Department of Nuclear, Plasma, and Radiological Engineering in The Grainger College of Engineering has one position opening for a Research Engineer. This role will support the ongoing and active research and development in the Illinois Nuclear Power Institute within the Department of Nuclear, Plasma, and Radiological Engineering, in the area of nuclear reactor technology.
Specific duties and responsibilities include:
Research Collaboration
- Assist in the analysis, evaluation, and design of nuclear reactor systems and supporting technologies to enhance safety and operational efficiency.
- Conduct research on critical aspects of microreactor technology development and deployment, contributing to advancements in the field.
- Perform modeling and simulation of nuclear reactor systems to support research and development initiatives.
- Communicate scientific advancements and licensing updates to stakeholders through various channels, including webinars, presentations, and scientific publications.
Project Management Support
- Work alongside faculty and staff on sponsored research projects, providing administrative, technical, and analytical support to coordinate project execution.
- Coordinate successful project execution including planning, timeline management, resource tracking, risk management
- Communicate among project members and assist in compliance and quality assurance with project requirements.
- Assist in the development and submission of research grant proposals in collaboration with Illinois Nuclear Power Institute faculty and staff.
Additional duties as assigned to assist in the efforts of the ongoing mission of the Institute and department.
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Minimum Qualifications:
- Masters degree in Nuclear or Mechanical Engineering (or other relevant engineering discipline)
- At least two years of work experience in an engineering\-focused industry
- Experience in modeling and simulation of complex systems
- Experience in presenting technical work
- Experience in coordinating technical efforts with multiple stakeholders
Must be a U.S. citizen, Permanent resident, a national from one of the countries listed in the 10 CFR 810 appendix, or have the ability to meet Department of Energy Regulations 10 CFR 810 authorized holders
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Preferred Qualifications:
- Worked under a quality assurance program.
Knowledge, Skills and Abilities:
Maintain a high level of professionalism and confidentiality when working with classified, export\-controlled, or otherwise sensitive technical information.
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Candidates must meet the eligibility requirements of the Department of Energy Regulations *10 CFR 810**.* Compliance with these requirements is necessary due to the Department of Energy regulations governing access to nuclear, plasma, and radiological technology and information. Requesting specific DOE authorization may be part of the hiring process. All authorizations must be in place by the proposed position start date of September 16, 2026\.
APPOINTMENT INFORMATION
This is an Academic Professional position appointed on a 12\-month service basis. The expected start date is as soon as possible after the closing date. The budgeted salary range for this position is $80,000 \- $100,000\. Salary is competitive and commensurate with qualifications and experience, while also considering internal equity. Hybrid work options may be available for the positions, with the ability to be on\-site at the University of Illinois Urbana\-Champaign campus as needed per the University’s Workplace Flexibility policy. This position is eligible for sponsorship for work authorization, except for sponsorship of a new H\-1B petition that would incur the $100,000 fee.
APPLICATION PROCEDURES AND DEADLINE INFORMATION
Applications must be received by 6:00 pm (CST) on August 10, 2026. Applications may be reviewed as they are received, interviews may also take place, but no hiring decision will be made until after the closing date. Apply for this position using the Apply Now button at the top or bottom of this posting. Please upload your cover letter, resume, and names/contact information for three references. Applications not submitted through https://jobs.illinois.edu will not be considered. For further information about this specific position, please contact Allie Langley at [email protected]. For questions regarding the application process, please contact 217\-333\-2137\.
At the University of Illinois Urbana\-Champaign — the state’s flagship public university and one of the world’s leading research institutions — every staff member helps shape what’s next. Founded in 1867, Illinois is home to a vibrant community of 59,000 students from all 50 states and 129 countries, supported by 15 colleges and instructional units, more than 20 research institutes, and one of the most comprehensive student service ecosystems in the nation. Whether you’re empowering first\-generation students, fueling breakthrough innovation, or strengthening communities across Illinois and beyond, your work here has a far\-reaching and deeply meaningful impact. The university offers a highly competitive benefits package designed to support your well\-being, growth, and financial security. Join a top 10 public university that has launched over 330 startups and continues to redefine excellence — where the Illinois Value Proposition ensures that your contributions are recognized, your potential is nurtured, and your career can thrive.
Champaign\-Urbana
*Artificial Intelligence (AI) tools may be used in some portions of the candidate review process for this position; however, all employment decisions will be made by a person.*
This position is intended to be eligible for benefits. This includes Health, Dental, Vision, Life Insurance, a Retirement Plan, Paid time Off, and Tuition waivers for employees and dependents.
The University of Illinois must also comply with applicable federal export control laws and regulations and, as such, reserves the right to employ restricted party screening procedures for applicants.
The University of Illinois System is an equal opportunity employer, including but not limited to disability and/or veteran status, and complies with all applicable state and federal employment mandates. Please visit Required Employment Notices and Posters to view our non\-discrimination statement and find additional information about required background checks, sexual harassment/misconduct disclosures, and employment eligibility review through E\-Verify.
Applicants with disabilities are encouraged to apply and may request a reasonable accommodation under the Americans with Disabilities Act (2008\) to complete the application and/or interview process. Accommodations may also be requested on the basis of pregnancy, childbirth, and related conditions, or religion. Requests may be submitted through the reasonable accommodation portal, or by contacting the Office for Access \& Equity at 217\-333\-0885, option \#1, or [email protected].
Requisition ID: 1037370
Job Category: Research
Apply at: https://jobs.illinois.edu
Salary Context
This $80K-$100K range is in the lower quartile for Research Engineer roles in our dataset (median: $188K across 44 roles with salary data).
View full Research Engineer salary data →Role Details
About This Role
Research Engineers bridge the gap between research and production. They implement papers, build experiment infrastructure, optimize training pipelines, and make research prototypes production-ready. They're the engineers who make research work at scale.
The role sits at a unique intersection. You need to understand the math well enough to implement novel architectures correctly, and you need the engineering chops to make them run efficiently on distributed systems. When a research scientist has a breakthrough idea, you're the person who turns it from a notebook prototype into a training pipeline that runs on 256 GPUs.
Across the 3,708 AI roles we're tracking, Research Engineer positions make up 2% of the market. At University of Illinois, this role fits into their broader AI and engineering organization.
Research Engineer roles are growing as AI labs recognize that research velocity depends on engineering quality. The role is less competitive than Research Scientist (no PhD required), but the bar for engineering skill is very high. These roles are concentrated at major labs and well-funded startups.
What the Work Looks Like
A typical week involves: implementing a new attention mechanism from a recent paper, profiling and optimizing a training pipeline that's bottlenecked on data loading, building evaluation infrastructure for a new benchmark, debugging distributed training issues across a GPU cluster, and pair-programming with a research scientist on their latest experiment. The work is deeply technical.
Research Engineer roles are growing as AI labs recognize that research velocity depends on engineering quality. The role is less competitive than Research Scientist (no PhD required), but the bar for engineering skill is very high. These roles are concentrated at major labs and well-funded startups.
Skills in Demand for This Role
Strong software engineering fundamentals plus ML knowledge. Python, C++, and CUDA experience are common requirements. You'll need to read papers and turn ideas into working code. Distributed systems experience (especially distributed training) is highly valued. Performance optimization skills separate great candidates from good ones.
Experience with large-scale training infrastructure (FSDP, DeepSpeed, Megatron), GPU programming (CUDA, Triton), and the internals of ML frameworks (PyTorch internals, custom autograd functions) is what makes candidates stand out. The best research engineers can debug issues that span the full stack from GPU memory management to numerical precision to algorithmic correctness.
Strong postings mention the team's recent research, the infrastructure scale, and the specific technical challenges. They often list the research areas you'd support. Look for roles that emphasize both implementation quality and research understanding.
Compensation Benchmarks
Research Engineer roles pay a median of $280,000 based on 147 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $200,000. This role's midpoint ($90K) sits 68% below the category median. Disclosed range: $80K to $100K.
Across all AI roles, the market median is $217,500. Top-quartile compensation starts at $272,100. The 90th percentile reaches $325,000. For comparison, the highest-paying categories include AI Safety ($300,000) and AI Architect ($254,798). By seniority level: Entry: $120,000; Mid: $200,000; Senior: $230,000; Director: $272,150; VP: $250,000.
University of Illinois AI Hiring
University of Illinois has 2 open AI roles right now. They're hiring across Research Engineer, Research Scientist. Based in Urbana, IL, US. Compensation range: $90K - $100K.
Location Context
Across all AI roles, 14% (508 positions) offer remote work, while 3,180 require on-site attendance. Top AI hiring metros: New York (1,045 roles, $220,000 median); San Francisco (810 roles, $277,088 median); Los Angeles (397 roles, $215,000 median).
Career Path
Common paths into Research Engineer roles include Software Engineer, ML Engineer, Research Intern.
From here, career progression typically leads toward Senior Research Engineer, Research Scientist, ML Architect.
This is one of the best entry points into AI research without a PhD. Build a strong engineering portfolio with ML projects, contribute to open-source ML frameworks, and demonstrate that you can implement complex ideas correctly and efficiently. The transition to Research Scientist is possible with published first-author work, which some research engineer roles support.
What to Expect in Interviews
Technical screens test both engineering skill and research understanding. Expect coding rounds with performance-critical implementations (GPU optimization, efficient data loading). Be prepared to discuss papers relevant to the team's research area and explain how you'd implement key ideas. System design questions focus on training infrastructure: distributed training, experiment tracking, and compute resource management.
When evaluating opportunities: Strong postings mention the team's recent research, the infrastructure scale, and the specific technical challenges. They often list the research areas you'd support. Look for roles that emphasize both implementation quality and research understanding.
AI Hiring Overview
The AI job market has 3,708 open positions tracked in our dataset. By seniority: 102 entry-level, 1,705 mid-level, 1,469 senior, and 432 leadership roles (Director, VP, C-Level). Remote roles make up 14% of the market (508 positions). The remaining 3,180 roles require on-site or hybrid attendance.
The market median for AI roles is $217,500. Top-quartile compensation starts at $272,100. The 90th percentile reaches $325,000. Highest-paying categories: AI Safety ($300,000 median, 21 roles); Research Engineer ($280,000 median, 147 roles); AI Architect ($254,798 median, 67 roles).
Research Engineer roles are growing as AI labs recognize that research velocity depends on engineering quality. The role is less competitive than Research Scientist (no PhD required), but the bar for engineering skill is very high. These roles are concentrated at major labs and well-funded startups.
The AI Job Market Today
The AI job market spans 3,708 open positions across 16 role categories. The largest categories by volume: AI/ML Engineer (2,605), Data Scientist (310), AI Software Engineer (259). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (102) are outnumbered by mid-level (1,705) and senior (1,469) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 432 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 14% of all AI roles (508 positions), with 3,180 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $217,500. Top-quartile roles start at $272,100, and the 90th percentile reaches $325,000. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Safety roles lead at $300,000 median, while Prompt Engineer roles sit at $140,000. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (1,890 postings), Aws (1,103 postings), Azure (877 postings), Rag (855 postings), Gcp (631 postings), Prompt Engineering (560 postings), Pytorch (545 postings), Claude (498 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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