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Optimization Engineer Jobs in Dallas, TX (NOW HIRING)

Prolim Global

RF Optimization Engineer

Plano, TX · On-site

We are seeking an experienced RF Optimization Engineer to support LTE and 5G network performance optimization activities. The ideal candidate will have strong experience in RF optimization, KPI ...

Apply Early

Telecom Technology Services

Sr. RF Engineer

Dallas, TX · On-site

The LTE RF Optimization Engineer will be required to work within a team of RF engineers and independently to perform RF network optimization activities during network rollout phase. Radio Planning ...

Concentra

Microsoft Systems Engineer II

Addison, TX · On-site

Engineer II, Systems is responsible for managing and optimizing the organization's IT infrastructure. This role involves configuring, maintaining, and troubleshooting servers, networks, and storage ...

Concentra

Microsoft Systems Engineer II

Addison, TX

Engineer II, Systems is responsible for managing and optimizing the organization's IT infrastructure. This role involves configuring, maintaining, and troubleshooting servers, networks, and storage ...

Concentra

Microsoft Systems Engineer II

Addison, TX · On-site

Engineer II, Systems is responsible for managing and optimizing the organization's IT infrastructure. This role involves configuring, maintaining, and troubleshooting servers, networks, and storage ...

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All JobsOptimization Engineer JobsOptimization Engineer Jobs in Dallas, TX

Optimization Engineer information

See Dallas, TX salary details

$40

$58

$80

How much do optimization engineer jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for optimization engineer in Dallas, TX is $58.99, according to ZipRecruiter salary data. Most workers in this role earn between $42.79 and $72.74 per hour, depending on experience, location, and employer.

What is the difference between Optimization Engineer vs Data Analyst?

AspectOptimization EngineerData Analyst
Required CredentialsBachelor's in Engineering, Mathematics, or related field; often certifications in optimization or data analysisBachelor's in Statistics, Mathematics, or related field; certifications in data analysis tools
Work EnvironmentEngineering teams, manufacturing, logistics, or software developmentBusiness, finance, marketing, or healthcare sectors
Employer & Industry UsageManufacturing, tech, logistics, supply chainFinance, marketing, healthcare, consulting

Optimization Engineers focus on improving processes and systems through mathematical modeling and algorithms, often working in technical environments. Data Analysts interpret data to support business decisions, typically working with data visualization and reporting tools. While both roles analyze data, Optimization Engineers emphasize process optimization, whereas Data Analysts focus on insights and reporting.

What are Optimization Engineers?

Optimization Engineers are professionals who analyze, design, and implement solutions to improve the efficiency, performance, and cost-effectiveness of systems, processes, or products. They use mathematical models, data analysis, and simulation tools to identify areas for improvement and develop strategies to achieve optimal results. These engineers work across various industries, including manufacturing, technology, energy, and logistics, to help organizations maximize output while minimizing resources and waste.

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

To thrive as an Optimization Engineer, you need a solid background in mathematics, data analysis, and engineering principles, often supported by a degree in engineering, mathematics, or a related field. Familiarity with optimization software (such as Gurobi, CPLEX, or MATLAB), programming languages like Python, and data modeling tools is typically required. Strong problem-solving skills, attention to detail, and effective communication make candidates stand out in this role. These skills and qualities are crucial for developing efficient solutions, collaborating with cross-functional teams, and driving continuous improvement in complex systems.

What does an optimization engineer do?

An optimization engineer analyzes and improves processes, systems, or algorithms to increase efficiency, reduce costs, or enhance performance. They often use mathematical modeling, data analysis, and tools like MATLAB or Python to develop solutions and may work in industries such as manufacturing, logistics, or software development.

What engineers make 200,000 a year?

Senior engineers in fields such as software, petroleum, aerospace, and data engineering often earn $200,000 or more annually, especially with extensive experience, advanced skills, and relevant certifications. Compensation can vary based on industry, location, and company size, with roles involving specialized expertise, leadership, or management responsibilities typically commanding higher salaries.

How does an Optimization Engineer typically collaborate with other departments to implement solutions?

Optimization Engineers often work closely with cross-functional teams such as production, operations, and data analysis. They collaborate by gathering input on current processes, identifying bottlenecks, and proposing data-driven improvements. Regular meetings and clear communication are crucial to ensure that proposed optimizations are practical and align with business goals. By involving stakeholders from various departments, Optimization Engineers help facilitate smoother implementation and ensure that solutions are sustainable and well-integrated.

What engineers make $500,000 a year?

Highly experienced engineers in specialized fields such as software engineering, data engineering, or systems architecture can earn $500,000 or more annually, especially in senior or executive roles at large technology companies. These roles often require advanced skills, certifications, and extensive industry experience, and compensation may include base salary, bonuses, and stock options.

What Is Optimization Engineering?

The job duties of an optimization engineer focus on taking an existing design and improving making it stronger, fast, more efficient, or more durable. Career qualifications for an optimization engineer include a bachelor’s or master’s degree in engineering and years of field experience through internships or similar positions. Strong analytical and research skills are important for this job, as well as a strong background in advanced mathematics.

How much do optimization engineers make?

Optimization engineers typically earn a median salary ranging from $70,000 to $120,000 annually, depending on experience, industry, and location. Senior roles or those with specialized skills in data analysis, programming, and modeling can earn higher compensation, often exceeding $150,000.
More about Optimization Engineer jobs
What are the most commonly searched types of Optimization Engineer jobs in Dallas, TX? The most popular types of Optimization Engineer jobs in Dallas, TX are:
What are popular job titles related to Optimization Engineer jobs in Dallas, TX? For Optimization Engineer jobs in Dallas, TX, the most frequently searched job titles are:
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What cities near Dallas, TX are hiring for Optimization Engineer jobs? Cities near Dallas, TX with the most Optimization Engineer job openings:
Optimization Engineer jobs near you
RF Optimization Engineer

RF Optimization Engineer

Prolim Global

Plano, TX • On-site

Contractor

Posted 14 days ago

Be an early applicant

Job description

We are seeking an experienced RF Optimization Engineer to support LTE and 5G network performance optimization activities. The ideal candidate will have strong experience in RF optimization, KPI analysis, drive testing, network troubleshooting, and performance improvement of LTE and 5G RAN environments.

The successful candidate will work closely with cross-functional teams to analyze network performance, identify optimization opportunities, implement corrective actions, and ensure superior customer experience across wireless networks.

Responsibilities
  • Perform LTE and 5G NR RF optimization activities to improve network performance and customer experience.
  • Analyze key performance indicators (KPIs) including Accessibility, Retainability, Mobility, Throughput, Call Setup Success Rate, Drop Call Rate, and Handover Success Rate.
  • Conduct root cause analysis for network performance degradations and recommend optimization solutions.
  • Perform cluster optimization, single-site verification, and post-launch optimization activities.
  • Optimize LTE and 5G parameters including PCI, neighbors, handovers, carrier aggregation, ENDC, and mobility settings.
  • Analyze drive test and walk test data using industry-standard tools.
  • Identify and resolve coverage, capacity, interference, and quality issues.
  • Support new site integrations, site acceptance testing, and network modernization projects.
  • Work with engineering, operations, and field teams to implement network improvements.
  • Generate optimization reports and provide recommendations to management and customers.
  • Participate in performance review meetings and present optimization findings.
Required Qualifications
  • Bachelor's degree in Electrical Engineering, Telecommunications, Computer Engineering, or related field.
  • 5+ years of experience in LTE and 5G RF Optimization.
  • Strong understanding of LTE, LTE-A, VoLTE, 5G NSA, and 5G SA architectures.
  • Experience with KPI analysis and performance monitoring.
  • Knowledge of RF propagation, coverage planning, capacity planning, and interference analysis.
  • Experience with network troubleshooting and root cause analysis.
Required Skills
  • 5G NR, LTE, LTE-A, VoLTE, VoNR
  • RF Optimization, RAN Optimization
  • KPI Analysis and Performance Monitoring
  • Coverage Optimization and Capacity Optimization
  • Accessibility, Retainability, Mobility, and Throughput Optimization
  • Handover Optimization and Neighbor Planning
  • PCI Planning and Optimization
  • Carrier Aggregation and ENDC
  • Drive Testing and Data Analysis
  • RF Troubleshooting and Root Cause Analysis
  • Interference Analysis and Spectrum Analysis
  • Massive MIMO and Beamforming
  • DSS, O-RAN, vRAN
  • TEMS, Nemo, Actix Analyzer
  • Atoll, Planet EV, MapInfo
  • XCAL, QXDM, PCTel Scanner
  • Python, SQL, Excel, Power BI (Preferred)
Preferred Qualifications
  • Experience with major wireless operators.
  • Experience with O-RAN, vRAN, Massive MIMO, and Beamforming technologies.
  • Experience with VoLTE and VoNR optimization.
  • Knowledge of CBRS and private wireless networks.
  • Strong communication, analytical, and problem-solving skills.