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5G Rf Optimization Engineer Jobs in Canton, MI (NOW HIRING)

OtterBase

Localization Algorithm Engineer

Detroit, MI · On-site

Description: This role focuses on developing and optimizing localization algorithms using ... Collaborate with embedded, FPGA, and RF teams to improve the performance of the location tracking ...

Saab

Senior Staff Electrical Engineer

Auburn Hills, MI

$115K - $150K/yr

Perform trade studies and develop optimal system architectures. * Simulate, model, design, select ... Bachelor's degree in electrical engineering, RF Engineering, or related field * 8+ years of ...

ZF

Senior PCB Design Engineer

Farmington Hills, MI · Hybrid

... RF signal, high speed signal impedance control, memory interfaces and optimization for EMI ... Engineer and apply now! Contact Bethany Vijayakumar DIVERSITY COMMITMENT: Diversity, Equity and ...

VERITA TELECOMMUNICATIONS

Top Hand

Plymouth, MI · On-site

... in engineering and construction. Our employees are highly motivated and internally driven to ... Participate in and assist in carrying out installation, repair, modification, optimization, or ...

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All Jobs5G Rf Optimization Engineer Jobs5G Rf Optimization Engineer Jobs in Canton, MI

5G Rf Optimization Engineer information

See Canton, MI salary details

$34.3K

$109.1K

$169.6K

How much do 5g rf optimization engineer jobs pay per year?

As of Jun 14, 2026, the average yearly pay for 5g rf optimization engineer in Canton, MI is $109,060.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,400.00 and $128,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a 5G RF Optimization Engineer, and why are they important?

To thrive as a 5G RF Optimization Engineer, you need a solid background in wireless communications, RF engineering principles, and a relevant engineering degree. Expertise in RF planning tools, drive test equipment, and knowledge of system optimization platforms such as TEMS, Atoll, or Actix, along with relevant certifications like CCNA or 5G-specific credentials, are typically required. Strong analytical thinking, troubleshooting abilities, and effective communication skills help you collaborate with cross-functional teams and resolve network issues efficiently. These competencies are crucial for ensuring optimal network performance, customer satisfaction, and successful deployment of advanced 5G technologies.

What does a 5G RF Optimization Engineer do?

A 5G RF Optimization Engineer is responsible for ensuring optimal performance of 5G wireless networks by analyzing and improving radio frequency (RF) parameters. They use specialized tools to monitor network quality, identify coverage gaps, and resolve issues related to signal strength, interference, and data throughput. Their work involves tuning network equipment, conducting drive tests, and collaborating with other engineers to implement solutions that enhance user experience and network efficiency.

What are some common challenges faced by a 5G RF Optimization Engineer when deploying new sites, and how are they typically addressed?

A 5G RF Optimization Engineer often encounters challenges such as interference management, handover optimization, and ensuring consistent coverage in dense urban environments during new site deployments. These challenges are typically addressed through detailed drive testing, network parameter tuning, and close collaboration with network planners and field teams. Engineers also utilize advanced software tools to analyze performance metrics and implement solutions like antenna tilt adjustments, frequency planning, and power optimization to enhance network quality.

What is the difference between 5G Rf Optimization Engineer vs RF Network Engineer?

Aspect5G Rf Optimization EngineerRF Network Engineer
Primary FocusOptimizing 5G radio frequency performance and coverageDesigning, deploying, and maintaining RF networks
CertificationsRF, wireless, or telecom certifications, often including 5G-specific trainingSimilar certifications, with emphasis on RF and network design
Work EnvironmentField testing, site surveys, and network optimization in telecom companiesNetwork planning, deployment, and troubleshooting in telecom or service providers

The 5G Rf Optimization Engineer specializes in fine-tuning 5G radio networks to ensure optimal performance, coverage, and capacity. In contrast, the RF Network Engineer focuses on designing and maintaining RF networks, including 4G and 5G, across various stages. Both roles require similar certifications and often work within the same industry environments, but their core responsibilities differ in scope and focus.

What are popular job titles related to 5G Rf Optimization Engineer jobs in Canton, MI? For 5G Rf Optimization Engineer jobs in Canton, MI, the most frequently searched job titles are:
What job categories do people searching 5G Rf Optimization Engineer jobs in Canton, MI look for? The top searched job categories for 5G Rf Optimization Engineer jobs in Canton, MI are:
What cities near Canton, MI are hiring for 5G Rf Optimization Engineer jobs? Cities near Canton, MI with the most 5G Rf Optimization Engineer job openings:
5G Rf Optimization Engineer jobs near you
Localization Algorithm Engineer

Localization Algorithm Engineer

OtterBase

Detroit, MI • On-site

Other

Posted 15 days ago

Job description

Job Description Description: This role focuses on developing and optimizing localization algorithms using probabilistic methods and multi-sensor fusion to improve positioning accuracy. You will prototype, simulate, and refine solutions into production-ready code while collaborating across software, hardware, and systems teams in a fast-paced R&D environment. Responsibilities/skills: Develop and refine PC-based localization algorithms using particle filters and other probabilistic techniques.

Implement sensor fusion strategies that integrate data from IMUs, wireless signals, and other external sources to enhance position accuracy. Design simulations to test and validate your algorithms under diverse real-world conditions (e.g., multipath, noise, varying environments). Leverage Python, C++, C#, or MATLAB to prototype and optimize algorithms before porting them to production software

Conduct thorough performance evaluations of localization algorithms, identifying bottlenecks and implementing data-driven optimizations. Collaborate with embedded, FPGA, and RF teams to improve the performance of the location tracking system. Stay current with the latest academic and industry research in probabilistic localization, sensor fusion, and state estimation.

Rapidly prototype novel concepts, iterating on algorithm design to reach production-level stability and robustness. Work cross-functionally with software, hardware, and systems engineers to integrate localization algorithms into larger systems. Contribute to code reviews, knowledge sharing, and team brainstorming sessions to maintain a high level of technical excellence.

Qualifications: Solid background in state estimation, probability theory, and advanced filtering techniques (particle filters, Kalman filters, etc.). Proficiency in at least one programming language (Python, C#, C++, MATLAB) used for developing and evaluating algorithms in a PC-based environment. Solid understanding of DSP algorithms and IQ radio processing

Experience translating theoretical models into efficient, production-ready code, with an emphasis on real-time or near-real-time performance. Familiarity with sensor data processing (IMU, etc.) and a keen interest in multi-sensor fusion methods. Adept at using data analytics and simulations to diagnose issues, validate assumptions, and refine algorithmic approaches

Passionate about exploring new ideas, adapting cutting-edge research, and creatively applying them to solve challenging localization problems. Enjoys working as part of a multi-disciplinary R&D team, bridging gaps between software, hardware, and system-level designs. Thrives on tackling open-ended challenges, taking ownership of tasks, and seeking continuous learning opportunities.

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