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Work From Home Rtl Design Engineer Jobs in Kankakee, IL

University of Utah

IT Software Engineers

Campus, IL · Remote

$100K - $125K/yr

... from biking to hiking to fishing abound . Salt Lake City is home to the Utah Symphony and Opera ... Responsibilities AI Platform Engineer III * Design, develop, deploy, and support enterprise AI ...

University of Utah

IT Software Engineers

Campus, IL · Remote

$100K - $125K/yr

... from biking to hiking to fishing abound . Salt Lake City is home to the Utah Symphony and Opera ... Responsibilities AI Platform Engineer III * Design, develop, deploy, and support enterprise AI ...

University of Utah

Operations Program Managers

Campus, IL · On-site +1

$60K/yr

This is not a work-from-home or hybrid position. International travel is a required and essential ... Design and lead pre-departure and re-entry sessions covering academic, cultural, and logistical ...

University of Utah

Operations Program Managers

Campus, IL · On-site +1

$60K/yr

This is not a work-from-home or hybrid position. International travel is a required and essential ... Design and lead pre-departure and re-entry sessions covering academic, cultural, and logistical ...

University of Utah

Operations Program Managers

Campus, IL · On-site +1

$60K/yr

This is not a work-from-home or hybrid position. International travel is a required and essential ... Design and lead pre-departure and re-entry sessions covering academic, cultural, and logistical ...

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All JobsRtl Design Engineer JobsWork From Home Rtl Design Engineer JobsWork From Home Rtl Design Engineer Jobs in Kankakee, IL

Work From Home Rtl Design Engineer information

See Kankakee, IL salary details

$38.9K

$84.7K

$152.4K

How much do work from home rtl design engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for work from home rtl design engineer in Kankakee, IL is $84,743.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,400.00 and $94,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Work From Home Rtl Design Engineer position, and why are they important?

A Work From Home RTL Design Engineer requires a thorough understanding of digital design, hardware description languages (such as Verilog or VHDL), and a relevant degree in electrical or computer engineering. Familiarity with industry-standard EDA tools like Synopsys, Cadence, or Mentor Graphics, and knowledge of design validation methodologies are commonly expected. Strong problem-solving abilities, effective communication skills, and self-motivation are crucial soft skills, particularly in a remote setting. These competencies ensure the engineer can deliver high-quality work, collaborate virtually with cross-functional teams, and meet project milestones in a distributed environment.

What is a Work From Home RTL Design Engineer job?

A Work From Home RTL (Register Transfer Level) Design Engineer is responsible for designing and implementing digital circuits using hardware description languages like Verilog or VHDL, all while working remotely. They develop RTL code for FPGA or ASIC designs, perform functional verification, and collaborate with hardware and software teams to ensure proper integration. This role requires strong knowledge of digital design principles, low-power design techniques, and simulation tools. Working remotely, engineers communicate via online tools, participate in virtual design reviews, and manage tasks independently while ensuring design quality and meeting project deadlines.

What are some typical challenges faced by Work From Home RTL Design Engineers, and how do companies support remote collaboration?

Remote RTL Design Engineers may face challenges such as limited access to on-site lab hardware, dependence on remote computing resources, and the need for clear communication across time zones. To address these, many companies provide secure VPN access, cloud-based EDA tool licenses, and regular virtual team meetings to ensure seamless project progress. You will often collaborate with verification, software, and hardware teams via video calls, shared documentation platforms, and version control systems. Structured onboarding, virtual mentorship programs, and flexible work hours are additional ways organizations support remote RTL designers. Adapting to these systems helps maintain productivity and fosters a collaborative team environment despite geographical distances.

What are popular job titles related to Work From Home Rtl Design Engineer jobs in Kankakee, IL? For Work From Home Rtl Design Engineer jobs in Kankakee, IL, the most frequently searched job titles are:
What cities near Kankakee, IL are hiring for Work From Home Rtl Design Engineer jobs? Cities near Kankakee, IL with the most Work From Home Rtl Design Engineer job openings:
Work From Home Rtl Design Engineer jobs near you
IT Software Engineers

IT Software Engineers

University of Utah

Campus, IL • Remote

$100K - $125K/yr

Full-time

Retirement

Posted 5 days ago

University Of Utah rating

7.2

Company rating: 7.2 out of 10

Based on 159 frontline employees who took The Breakroom Quiz

384th of 612 rated colleges and universities

Job description

Details
Open Date 07/22/2026 Requisition Number PRN45702B Job Title IT Software Engineers Working Title AI Platform Engineer III Career Progression Track P00 Track Level P3 - Career FLSA Code Computer Employee Patient Sensitive Job Code? No Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary
M-F 8-5
VP Area President Department 00428 - UIT - Network & Comm. Srvs Location Campus City Salt Lake City, UT Type of Recruitment External Posting Pay Rate Range $100,000-125,000 Close Date 08/15/2026 Priority Review Date (Note - Posting may close at any time) Job Summary
AI Platform Engineer III

The AI Platform Engineer III is responsible for designing, developing, implementing, governing, and supporting enterprise artificial intelligence solutions across the University. This position serves as a technical leader for generative AI platforms, AI-powered applications, custom agents, workflow automation, and enterprise AI adoption.
The successful candidate will possess demonstrated experience administering enterprise AI platforms, developing custom AI agents and GPTs, implementing agentic workflows, applying advanced prompt engineering techniques, and building AI-powered business solutions that improve productivity, automate business processes, support financial reporting and analysis, and enhance decision-making.
This position works closely with university leadership, researchers, business units, developers, security teams, and technology partners to identify, develop, and operationalize high-value AI use cases. Responsibilities include AI platform administration, AI solution architecture, agent development, AI governance, enterprise integrations, and business process automation.
This is not an entry-level AI position. Candidates must demonstrate prior hands-on experience working with enterprise AI platforms, large language models, agentic frameworks, custom AI agents, and AI solution development. The selected candidate will be expected to contribute immediately as an experienced AI practitioner.
About UIT: University Information Technology (UIT), the central IT service provider for the University of Utah, reports to the U's Chief Information Officer and is responsible for many of the U's shared IT services including the wired and wireless network; Campus Information Services (CIS) portal; UMail, telephone, and online collaboration; digital learning technologies; information security; software licensing; and a host of other IT systems and services.
About the University of Utah: Located in Salt Lake City, the U is the flagship institution of the State of Utah's system of higher education, home to arts and museum venues and a member of the BIG-12 Conference. Skiing and snowboarding opportunities are a short distance from campus, and opportunities to pursue activities from biking to hiking to fishing abound. Salt Lake City is home to the Utah Symphony and Opera, Ballet West, professional sports teams, and a wide range of other cultural and recreational activities.
Responsibilities
AI Platform Engineer III

  • Design, develop, deploy, and support enterprise AI solutions that improve productivity, automate business processes, and deliver measurable business value.
  • Build and maintain custom AI agents, GPTs, copilots, and agentic workflows that support academic, administrative, operational, research, and financial use cases.
  • Administer and optimize enterprise AI platforms including OpenAI ChatGPT Enterprise, Anthropic Claude Enterprise, Microsoft Copilot, Google Gemini, NotebookLM, AWS Bedrock, Azure AI Foundry, Microsoft Fabric, and future University-approved AI services
  • .Develop AI-powered solutions for financial reporting, business intelligence, executive reporting, operational analytics, forecasting, workflow automation, and decision support.
  • Design and implement advanced AI architectures utilizing Model Context Protocol (MCP), retrieval augmented generation (RAG), tool integrations, orchestration frameworks, enterprise knowledge systems, and API-based solutions.
  • Create, test, evaluate, and optimize prompts, workflows, instructions, and AI evaluation frameworks to improve solution quality, reliability, accuracy, and user adoption.
  • Develop integrations between AI platforms and enterprise systems using APIs, automation platforms, cloud services, databases, and business applications.
  • Administer AI governance, security, compliance, identity management, access controls, licensing, usage monitoring, and operational standards while ensuring responsible and secure use of AI technologies.
  • Collaborate with University leadership, business units, and technical teams to identify, evaluate, prototype, and operationalize high-value AI use cases and emerging technologies.
  • Provide technical leadership, consulting, documentation, training, troubleshooting, and production support for enterprise AI platforms, AI-powered solutions, and AI engineering best practices.
Job Code: P38263
Grade: P21
Minimum Qualifications
EQUIVALENCY STATEMENT: 1 year of higher education can be substituted for 1 year of directly related work experience (Example: bachelor's degree = 4 years of directly related work experience).

Department may hire employee at one of the following job levels:

IT Software Engineer, III: Requires a bachelor's (or equivalency) + 6 years or a master's (or equivalency) + 4 years of directly related work experience.

Preferences
MINIMUM QUALIFICATIONS:
  • Minimum one (1) year of hands-on professional experience working with generative AI platforms and large language models in a production or enterprise environment. This requirement is mandatory and cannot be substituted.
  • Experience designing, developing, and deploying production AI agents, custom GPTs, copilots, intelligent assistants, and agentic workflows.
  • Demonstrated expertise in prompt engineering, prompt optimization, AI evaluation methodologies, and improving AI solution accuracy and performance.
  • Experience building AI-powered solutions for financial reporting, business intelligence, operational analytics, executive reporting, forecasting, process automation, and decision support.
  • Knowledge of AI governance, security, privacy, compliance, and responsible AI practices.

PREFERRED QUALIFICATIONS:
  • Two or more years of hands-on experience working with enterprise generative AI technologies and large language models.
  • Experience administering and supporting enterprise AI platforms such as OpenAI ChatGPT Enterprise, Anthropic Claude Enterprise, Microsoft Copilot, Google Gemini Enterprise, AWS Bedrock, Azure AI Foundry, Microsoft Fabric, or similar technologies.
  • Experience implementing and supporting agentic AI architectures, including Model Context Protocol (MCP), retrieval augmented generation (RAG), tool integrations, and AI orchestration frameworks.
  • Experience with cloud AI platforms and services including AWS SageMaker, AWS Bedrock, Azure AI Foundry, Microsoft Fabric, Google Vertex AI, or comparable environments.
  • Experience integrating AI platforms with enterprise applications, APIs, databases, cloud services, and business workflows.
  • Experience with Microsoft 365, Microsoft Entra ID, Google Workspace, Grouper, or comparable identity and collaboration platforms.
  • Proficiency with Python, PowerShell, REST APIs, JSON, automation frameworks, or related technical skills.
  • Experience working in higher education, research computing, academic technology, or other complex institutional environments.
  • Experience supporting faculty, researchers, students, and university administrative functions is strongly preferred.
  • Experience with vector databases, embeddings, semantic search, enterprise search, knowledge management systems, and retrieval augmented generation (RAG) solutions.
  • Experience leading AI proof-of-concepts, pilot projects, enterprise AI adoption initiatives, and cross-functional AI solution development efforts.
Type Benefited Staff Special Instructions Summary Additional Information
The University is a participating employer with Utah Retirement Systems ("URS"). Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at (801) 581-7447 for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS' post-retirement rules and restrictions. Please contact Utah Retirement Systems at (801) 366-7770 or (800) 695-4877 or University Human Resource Management at (801) 581-7447 if you have questions regarding the post-retirement rules.
This position may require the successful completion of a criminal background check and/or drug screen.
The University of Utah values candidates who have experience working in settings with students and possess a strong commitment to improving access to higher education.
Veterans' preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities.
Consistent with state and federal law, the University of Utah does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran's status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities extends to admission and employment. Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both.
To request a reasonable accommodation for a disability or if you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity and Title IX (OEO). More information, including the Director/Title IX Coordinator's office address, electronic mail address, and telephone number can be located at the: University of Utah NonDiscrimination page.
Online reports may be submitted at https://oeo.utah.edu

https://publicsafety.utah.edu/safetyreport/ This report includes statistics about criminal offenses, hate crimes, arrests and referrals for disciplinary action, and Violence Against Women Act offenses. They also provide information about safety and security-related services offered by the University of Utah. A paper copy can be obtained by request at the Department of Public Safety located at 1658 East 500 South.
As per University of Utah policy 5-108: Transfer of Benefits Eligible Staff Members, a new hire to the University of Utah who is still serving a 12 month probationary period will not be hired into another University of Utah job (a transfer) until the successful completion of the probationary period.

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About University of Utah

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The University of Utah is the state’s flagship institution of higher education, with 18 schools and colleges, more than 100 undergraduate majors and graduate programs, and an enrollment of more than 38,000 students. It is a member of the Association of American Universities—an invitation-only, prestigious group of 71 leading research institutions. The U is advancing a new national model for higher education that delivers societal impact through education, research, health care, and community service, while making social, economic, and cultural contributions that improve lives across Utah and around the world.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Salt Lake City, UT, US

Year founded

1850

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