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Remote Wireless Research Engineer Jobs in Chicago, IL

Work with Product and Engineering teams to streamline workflow of computational analyze Contribute ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Work with Product and Engineering teams to streamline workflow of computational analyze Contribute ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Engineer Sr, Applications Systems Development

Niles, IL · On-site +1

$123K - $162K/yr

This role can either be remote or hybrid, reporting to our Niles, IL Corporate HQ. * Design and ... Research, model and standardize device interaction capabilities across our broad product ecosystem ...

Remote Consulting Engineer Company: Anomalix Inc. Location: Remote - Work from home - 75% travel to ... Ability to independently research solutions to complex problems * Ability to work in a dynamic ...

Remote Consulting Engineer Company: Anomalix Inc. Location: Remote - Work from home - 75% travel to ... Ability to independently research solutions to complex problems * Ability to work in a dynamic ...

Your work product will include designing/programming surveys, collecting, checking and analyzing ... This role is fully remote. Our Head of Research and many of the team members are based in Chicago ...

Technical Program Manager

Evanston, IL · Remote

$123K - $160K/yr

This is a REMOTE opportunity The Technical Program Manager plans, executes, and brings projects to ... Collaborate with engineering team leads, research leadership, and external partners (sponsors ...

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Remote Wireless Research Engineer information

See Chicago, IL salary details

$38.1K

$109.2K

$146.8K

How much do remote wireless research engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote wireless research engineer in Chicago, IL is $109,208.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,100.00 and $107,100.00 per year, depending on experience, location, and employer.

What does a remote wireless research engineer do?

A Remote Wireless Research Engineer is responsible for studying, designing, and developing new wireless communication technologies, often while working remotely. They analyze wireless signal protocols, optimize network performance, and contribute to advancements in areas such as 5G, IoT, or Wi-Fi. Their work may include running simulations, developing prototypes, and collaborating with other engineers to solve complex technical problems. These engineers play a key role in improving the reliability, speed, and security of wireless networks, enabling better connectivity for devices and users.

What are some common challenges faced by a remote wireless research engineer, and how can they be addressed?

One common challenge for Remote Wireless Research Engineers is ensuring effective collaboration with multidisciplinary teams while working remotely. Since much of the research involves coordination with hardware, software, and network specialists, clear communication and proactive updates are essential. Additionally, staying current with rapidly evolving wireless technologies and standards can be demanding, so regularly participating in virtual conferences and training is beneficial. Adopting collaborative tools and establishing routine check-ins helps maintain alignment and drive successful project outcomes.

What is the difference between Remote Wireless Research Engineer vs Wireless Systems Engineer?

AspectRemote Wireless Research EngineerWireless Systems Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Computer Science; knowledge of wireless protocolsBachelor's or Master's in Electrical Engineering, Computer Science; expertise in wireless systems
Work EnvironmentResearch labs, remote collaboration, R&D teamsDesign, testing, and deployment in labs or field
Employer & Industry UsageTech companies, research institutions, telecom firmsTelecom providers, hardware manufacturers, network providers
Search & Comparison IntentResearch, innovation, wireless protocol developmentSystem design, deployment, network optimization

The Remote Wireless Research Engineer focuses on developing new wireless technologies and protocols in research settings, often working remotely. In contrast, the Wireless Systems Engineer applies wireless knowledge to design, implement, and optimize wireless networks and systems. Both roles require similar educational backgrounds and industry experience but differ in their primary focus—research versus practical deployment.

What are the key skills and qualifications needed to thrive as a remote wireless research engineer, and why are they important?

To excel as a Remote Wireless Research Engineer, a strong background in wireless communication principles, signal processing, and a degree in electrical engineering or a related field are essential. Familiarity with technical tools such as MATLAB, Python, wireless simulation platforms, and knowledge of protocols like 5G or Wi-Fi, as well as relevant certifications (e.g., CWNA), are typically required. Strong problem-solving abilities, self-motivation, and effective remote communication skills distinguish top performers in this role. These competencies are vital for advancing wireless technology solutions, conducting independent research, and collaborating efficiently with distributed teams.
What are the most commonly searched types of Wireless Research Engineer jobs in Chicago, IL? The most popular types of Wireless Research Engineer jobs in Chicago, IL are:

AI Research Engineer - NLP

Lucas James Talent Partners

Evanston, IL • On-site, Remote

$100K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Job description

Lucas James Talent Partners is recruiting on behalf of UL Research Institutes. We have an exciting opportunity for an AI Research Engineer at UL Research Institutes, within our Digital Safety Research Institute (DSRI). This is a REMOTE opportunity.

The AI Research Engineer advances Digital Safety mission by designing, developing, and evaluating advanced artificial intelligence (AI) safety assessment systems, with a focus on large language models (LLMs), natural language processing (NLP) safety. This role contributes to the development of rigorous evaluation methodologies, scalable assessment capabilities, and research-driven insights that improve the safety assessments of frontier AI systems.

UL Research Institutes:
At UL Research Institutes (ULRI), we expand the boundaries of safety science to create a more secure and sustainable world. For more than a century, we have studied the unintended consequences of innovation, designed solutions to mitigate risk and shared our findings with academia, scientists, manufacturers, and policymakers across industries. We identify critical safety and sustainability issues, asking tough questions because we believe a safer world begins with knowledge.
Build a safer, more secure, and sustainable future with us. Join us and work with our Fire Safety teams who conduct the research required to produce that knowledge and put it into practice.

Digital Safety Research Institute:
The Digital Safety Research Institute (DSRI) addresses unresolved safety risks and emerging dangers in the world’s digital ecosystem. We aim to help protect people from unwanted access to personal devices and privacy, algorithms, and disinformation threats by working to create a new digital safety ecosystem.
DSRI is committed to sharing digital safety insights, collaborating with key stakeholders, and offering extensive outreach and education to help support safer digital environments for people everywhere.

What you’ll learn and achieve:
As the AI Research Engineer, you will play a key role in the rapid growth of UL as you:
  • Studies incident reports implicating LLMs or NLP algorithms and hypothesize root causes.
  • Conducts literature and open-source reviews in NLP or LLM Designs, plans, and creates NLP or LLMs assessments - expanding digital safety best practices. Applies technical, diagnostic, and troubleshooting skills.
  • Codes or trains text analytics needed to run NLP or LLM assessments. Prepares written component documentation for technical audiences.
  • Publishes assessment research results, on-line, using Digital Safety lab tools, and in peer-reviewed conferences and journals.
  • Works closely with team members to ensure that all processes are accurate and technically sound.
What you’ll experience working at UL Research Institutes: We have pursued our mission of working for a safer, more secure, and sustainable world for nearly 130 years, embedding conscientious stewardship into everything we do.
  • People: Our people make us special. You’ll work with a diverse team of experts respected for their independence and transparency and build a network, because our approach is collaborative. We collaborate across disciplines, organizations, and geographies to build the global scientific response that today’s global challenges require.
  • Interesting work: Every day is different for us here. We see what’s on the horizon and use our expertise to build the foundations of a safer future. You’ll have the opportunity to push the boundaries of human understanding as part of a team working to advance the public good.
  • Grow and achieve: We learn, work, and grow together through targeted development, reward, and recognition programs.
  • Values. Four core values guide our work: collaboration, respect, integrity, and beneficence. By living our values, we inspire the trust essential to fulfilling our mission and foster the partnerships that enable us to pursue a beneficent future in which we all can thrive.
  • Total Rewards: All employees at UL Research Institutes are eligible for bonus compensation. We offer comprehensive medical, dental, vision, and life insurance plans and a generous 401k matching structure of up to 5% of eligible pay. Moreover, we invest an additional 4% into your retirement saving fund after your first year of continuous employment. Depending on your role, you may be able to discuss flexible working arrangements with your manager. We also provide employees with paid time off, including vacation, holiday, sick, and volunteer days.


What makes you a great fit:
While no one candidate will embody every quality, the successful candidate will bring many of the following professional competencies and personal attributes:
  • Demonstrates mastery level knowledge of NLP and LLM safety and how safety assessments can protect the public from LLM harms.
  • Solves AI assessment research challenges independently and efficiently.
  • Engages software engineering teams who build tools to help DSRI researchers scale their assessments to perform rapidly at scale
  • Looks ahead to needed research and development next steps, for better analytics to assess LLM or NLP outputs.
  • Begins developing relationships within the broader safety community

Professional education and experience requirements for the role include:
  • Ph.D. in computer science or related field, focused on NLP or LLMs.
  • 3 years of relevant experience, post Ph.D.

About UL Research Institutes and UL Standards & Engagement
UL Research Institutes and UL Standards & Engagement are nonprofit organizations dedicated to advancing safety science research through the discovery and application of scientific knowledge. We conduct rigorous independent research and analyze safety data, convene experts worldwide to address risks, share knowledge through safety education and public outreach initiatives, and develop standards to guide safe commercialization of evolving technologies. We foster communities of safety, from grassroots initiatives for neighborhoods to summits of world leaders. Our organization employs collaborative and scientific approaches with partners and stakeholders to drive innovation and progress toward improving safety, security, and sustainability, ultimately enhancing societal well-being.
To learn more, visit our websites UL.org and ULSE.org.








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