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Remote Rf Optimization Engineer Jobs in Michigan

Electrical Engineering & RF/Circuit Design Expert Type: Contract Compensation: $70-$100/hour Location: Remote Commitment: 15-20 hours/week Role Responsibilities * Design challenging computational ...

Prompt engineering & optimization * Model evaluation & testing frameworks * AI observability ... REMOTE Basic Requirements * 8+ years experience in software development * AND 2+ years with AI ...

Oracle Fusion Integrations Engineer

Hudsonville, MI ยท On-site +1

$156K/yr

Location: Remote or Hybrid (company based in West Michigan) Job Overview: The Oracle Fusion ... and optimization. Responsibilities of the Oracle Fusion Integrations Engineer: * Serve as the ...

Senior Staff Data Engineer

Portage, MI ยท On-site +1

$153K - $255K/yr

Remote Join a team focused on building scalable, enterprise-grade data platforms that support ... Drive platform decisions related to performance optimization, scalability, and cost efficiency.

Level 2 Service Desk Support

Ann Arbor, MI ยท Remote

$60K - $65K/yr

This is a remote position. IT Support Engineer II (Remote) - Managed Services (MSP) About the Role ... and optimized. Key Responsibilities * Provide Level 2 technical support for desktops, servers ...

Senior Software Engineer

Wyoming, MI ยท On-site +1

$111K - $146K/yr

Analyzes, reviews and tests for accuracy and optimal implementation of developed solutions ... Hybrid Schedule, 4 days in office in Wyoming, MI or Atlanta, GA, with 1 day remote What you'll ...

Identify risks, feasibility concerns, and optimization opportunities in proposed solutions ... remote meetings. * Communicate effectively with Sales, Engineering, and Operations to clarify ...

Design Release Engineer

Auburn Hills, MI ยท On-site +1

$38 - $43.50/hr

... value optimization) activities after vehicle launch. Required Qualifications / Experience ... Ability to effectively operate independently in a remote or hybrid office/remote workplace

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Remote Rf Optimization Engineer information

What is a remote RF optimization engineer?

A Remote RF Optimization Engineer is a telecommunications professional who specializes in analyzing, optimizing, and improving the performance of wireless radio frequency (RF) networks from a remote location. Their main tasks include monitoring network KPIs, troubleshooting interference or coverage issues, and implementing solutions to enhance signal quality and capacity. Working remotely, they use specialized software tools to access, analyze, and optimize cellular networks such as LTE, 5G, or Wi-Fi, ensuring reliable communication services for users.

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

To thrive as a Remote RF Optimization Engineer, you need a solid background in wireless communication principles, network optimization, and a degree in electrical or telecommunications engineering. Familiarity with RF planning tools (such as Atoll, Actix, or TEMS), drive test equipment, and certifications like CCNA or relevant vendor-specific credentials are highly valued. Strong analytical thinking, problem-solving abilities, and effective remote communication skills set top performers apart in this role. These skills ensure optimal network performance, efficient troubleshooting, and seamless collaboration on distributed engineering teams.

What are some common challenges faced by remote RF optimization engineers, and how can they be addressed?

Remote RF Optimization Engineers often encounter challenges such as limited on-site access, coordinating with field teams, and troubleshooting network issues without direct physical observation. These challenges can be addressed by leveraging advanced remote monitoring tools, maintaining clear communication channels with local technicians, and utilizing simulation software to analyze and resolve signal problems. Building strong relationships with cross-functional teams and staying updated on the latest industry best practices also help in effectively managing remote optimization tasks.

What is the difference between Remote Rf Optimization Engineer vs Remote Wireless Network Engineer?

AspectRemote Rf Optimization Engineer

The Remote Rf Optimization Engineer focuses on optimizing radio frequency performance for wireless networks, primarily working on signal quality, interference reduction, and network efficiency. The Remote Wireless Network Engineer also works on wireless systems but has a broader scope, including network design, deployment, and troubleshooting of entire wireless infrastructures. Both roles require knowledge of RF principles and certifications like CWNP, but the Optimization Engineer emphasizes fine-tuning existing networks, while the Network Engineer handles overall network setup and maintenance.

What are the most commonly searched types of Rf Optimization Engineer jobs in Michigan?

The most popular types of Rf Optimization Engineer jobs in Michigan are:

What are popular job titles related to Remote Rf Optimization Engineer jobs in Michigan?

For Remote Rf Optimization Engineer jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Remote Rf Optimization Engineer jobs in Michigan look for?

The top searched job categories for Remote Rf Optimization Engineer jobs in Michigan are:

What cities in Michigan are hiring for Remote Rf Optimization Engineer jobs?

Cities in Michigan with the most Remote Rf Optimization Engineer job openings:

RF Circuit Design Expert - PhD - AI Trainer

Mercor

Detroit, MI โ€ข On-site, Remote

$70 - $85/hr

Full-time

Posted 3 days ago

New


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Computational Electrical Engineering & RF/Circuit Design Expert
Type: Contract
Compensation: $70–$85/hour
Location: Remote
Commitment: 15–20 hours/week

Role Responsibilities

  • Design challenging computational problems to evaluate AI capabilities in solving scientific tasks.
  • Develop problems requiring the use of specialized scientific software like scikit-rf and ngspice.
  • Test and refine problems against state-of-the-art AI models to achieve target difficulty.
  • Collaborate with research teams to improve AI model performance and training data quality.
  • Work independently and asynchronously to meet deadlines and refine problem designs.

Qualifications

Must-Have

  • Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience).
  • Proven proficiency with scientific software libraries like scikit-rf or ngspice.
  • Strong Python skills for writing problem setups and solution validators.
  • Ability to work in a Linux/terminal environment with remote compute sandboxes.
  • Available for at least 15–20 hours per week.

Preferred

  • Experience across multiple listed domains or tools.
  • Familiarity with benchmark or evaluation design.
  • Background in scientific teaching or exam/problem-set design.
  • Experience with computational reproducibility and containerized environments.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.


#hiringmercor