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Remote Lte Optimization Engineer Jobs in Naperville, IL

Senior Software Engineer

Chicago, IL ยท On-site +1

$153K/yr

Architecting, optimizing relational and vector databases (PostgreSQL, SQLAlchemy, query ... Remote work requests will be considered consistent with company's remote work policy. Job ...

Senior Software Engineer

Chicago, IL ยท On-site +1

$153K/yr

Architecting, optimizing relational and vector databases (PostgreSQL, SQLAlchemy, query ... Remote work requests will be considered consistent with company's remote work policy. Job ...

Software Engineer

Naperville, IL ยท On-site +1

$132K - $147K/yr

Lead the design and optimization of high-scale data and application architectures utilizing EC2, S3 ... remote work is not an option for tax reasons: AL, AK, AR, CA, CT, DE, HI, ID, IA, KS, KY, LA, ME ...

We are open to remote candidates. In this role, the Environmental Engineer is responsible for ... This role plays a critical part in maintaining regulatory compliance, optimizing environmental ...

Principal Engineer Controls

Chicago, IL ยท Remote

$109K - $159K/yr

Identify project prerequisites, risks, alternative solutions, and opportunities for optimization ... This position is located in Omaha NE, Chicago IL, select field locations or remote locations east ...

Principal Engineer Controls

Chicago, IL ยท On-site +1

$109K - $159K/yr

Identify project prerequisites, risks, alternative solutions, and opportunities for optimization ... This position is located in Omaha NE, Chicago IL, select field locations or remote locations east ...

Showing results 21-40

Remote Lte Optimization Engineer information

See Naperville, IL salary details

$35.4K

$96K

$167.8K

How much do remote lte optimization engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote lte optimization engineer in Naperville, IL is $95,964.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,900.00 and $107,800.00 per year, depending on experience, location, and employer.

What does a Remote LTE Optimization Engineer do?

A Remote LTE Optimization Engineer is responsible for analyzing and improving the performance of LTE (Long-Term Evolution) wireless networks from a remote location. Their tasks include monitoring network KPIs, troubleshooting issues, optimizing network parameters, and recommending changes to enhance coverage, capacity, and quality of service. They work closely with field engineers and network operators to ensure optimal network performance, often using advanced software tools to analyze data and implement solutions remotely.

What are the key skills and qualifications needed to thrive as a Remote LTE Optimization Engineer, and why are they important?

To thrive as a Remote LTE Optimization Engineer, you need a solid background in wireless communications, radio frequency (RF) engineering, and a relevant engineering degree. Familiarity with network optimization tools like TEMS, Atoll, and drive test analysis software, as well as certifications such as CCNA or relevant vendor certifications, is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate remotely with cross-functional teams and address network performance issues. These skills ensure optimal network quality, efficient troubleshooting, and reliable mobile service delivery for end users.

What are the typical challenges faced by a Remote LTE Optimization Engineer and how can they be managed?

Remote LTE Optimization Engineers often encounter challenges such as limited on-site access to equipment, reliance on remote diagnostic tools, and potential delays in troubleshooting network issues. To manage these challenges, engineers use advanced remote monitoring systems, collaborate closely with local field technicians, and participate in regular virtual meetings with cross-functional teams. Effective communication, adaptability, and a proactive approach to problem-solving are essential for success in this role.

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For Remote Lte Optimization Engineer jobs in Naperville, IL, the most frequently searched job titles are:

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The top searched job categories for Remote Lte Optimization Engineer jobs in Naperville, IL are:

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Cities near Naperville, IL with the most Remote Lte Optimization Engineer job openings:

Infographic showing various Remote Lte Optimization Engineer job openings in Naperville, IL as of August 2026, with employment types broken down into 89% Full Time, 5% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $95,964 per year, or $46.1 per hour.

Senior Software Engineer

Limited Legal Entity

Chicago, IL โ€ข On-site, Remote

$153K/yr

Full-time

Medical, Dental, Life, Retirement

Posted 12 days ago


Job description

Job Duties:

Architecting, optimizing and developing Python-based applications and APIs (FastAPI, Flask, RESTful services), including asynchronous programming and event-based architectures using cloud-native services (20%). Architecting, optimizing relational and vector databases (PostgreSQL, SQLAlchemy, query optimization, indexes, replicas, migrations, Weaviate, Pinecone) and working with dataframes for data processing and analysis (SQL-based agents) (20%). Driving AI security, compliance, and governance strategies (hallucination mitigation, ethical AI practices, AI guardrails) (10%). Architecting, researching and reviewing AI-driven enterprise platforms (retrieval-augmented generation, LLM fine-tuning, AI governance, model optimization) (20%). Defining and reviewing technical documentation, setting architectural guidelines, enforcing best coding practices, conducting design reviews, and ensuring maintainability and scalability of codebases (10%). Collaborating with cross-functional teams to align AI strategies with business needs and technical requirements (20%). **Remote work requests will be considered consistent with company's remote work policy.

Job Requirements:

This position requires a bachelor's degree in computer science, or a related field, or foreign equivalent and 5 years of relevant experience as a Software Engineer, Application Development Associate, or in a related position. In alternative, we accept a Master's degree in Computer Science, or a related field, or foreign equivalent and 3 years of relevant experience as a Software Engineer, Application Development Associate, or in a related position.

This position also requires database engineering management through RDBMS (SQL Server, PostgreSQL) including design, normalization, optimization, sharding, ACID transactions, and migrations. Python Development: Production applications, APIs (calling and invoking, Rest APIโ€™s) for data preprocessing. Object-oriented programming in Python/Java, including OOP design patterns and UML architecture. Data processing and visualization by using QlikView and Python (Pandas, Plotly, Matplotlib). Agile development practices with emphasis on customer-centric delivery. Cloud and infrastructure management by using various cloud services such as AWS S3, Aurora, RDS, API Gateway, and AWS Lambda. Machine learning and statistical methods, including natural language processing (NLP) and embeddings. Version control and CI/CD (Git, application deployment and monitoring tools). Authoring technical documentation for developers, technical, and non-technical users. Vector Databases & Retrieval: Weaviate, Pinecone, GraphQL-based querying, AI-powered retrieval. Scalability & Performance: Queuebased request handling (SQS, Celery), event-driven architectures, caching using in-memory data structures such as Redis. AI Adoption: Driving AI tool adoption within enterprises. Multiprovider integration (OpenAI, Anthropic, MistralAI, etc.), Retrieval augmented generation, function calling, structured outputs, conversational memory. Prompt Engineering: Chain-ofthought prompting, prompt caching, zero-shot prompting. Agentic Frameworks: LangGraph or AutoGen for building agentic orchestrations. Feature Flagging tools such as Split or CloudBees. Financial AI Applications: Investment-related AI, financial data analysis. Contributions to Python open-source projects or packages. LLM Understanding & Safety: Transformers, attention mechanisms, fine-tuning, hallucination mitigation, AI safety guardrails. **Will accept any suitable combination of education, training, and experience.

Must possess unrestricted right to work in the U.S. in this position

Base Salary Compensation: $153,317.00

Morningstar is an equal opportunity employer.

Compensation and Benefits

At Morningstar we believe people are at their best when they are at their healthiest. Thatโ€™s why we champion your wellness through a wide range of programs that support all stages of your personal and professional life. Here are some examples of the offerings we provide:

  • Financial Health

    • 100% 401k match up to 6% of salary

    • Stock Ownership Potential

    • Company provided life insurance - 1x salary + commission

  • Physical Health 

    • Comprehensive health benefits (medical/dental/vision) including potential premium discounts and company-provided HSA contributions (up to $500-$2,000 annually) for specific plans and coverages

    • Additional medical Wellness Incentives - up to $300-$600 annual

    • Company-provided long- and short-term disability insurance

  • Emotional Health 

    • Trust-Based Time Off

    • 6-week Paid Sabbatical Program

    • 6-Week Paid Family Caregiving Leave

    • Competitive 8-24 Week Paid Parental Leave

    • Adoption Assistance

    • Leadership Coaching & Formal Mentorship Opportunities

    • Annual Flex Stipend - $1000 annually to cover personal education & well-being expenses

    • Tuition Reimbursement

  • Social Health 

    • Charitable Matching Gifts program

    • Dollars for Doers volunteer program

    • Paid volunteering days

    • 15+ Employee Resource & Affinity Groups

Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.

001_MstarInc Morningstar Inc. Legal Entity