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Remote Rf Optimization Engineer Jobs in New York

RF Engineer

Manhattan, NY ยท On-site +1

Remote | Electrical Engineering Simulation Expert (RF & Circuit Design)New York, New York, United StatesAbout the JobWe are sharing a specialised part-time consulting opportunity for electrical ...

New

RF Engineer

Manhattan, NY ยท On-site +1

Remote | Electrical Engineering Simulation Expert (RF & Circuit Design)New York, New York, United StatesAbout the JobWe are sharing a specialised part-time consulting opportunity for electrical ...

New

RF Circuit Design Expert

New York, NY ยท On-site +1

$70 - $100/hr

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

Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge GPU optimization project. You will apply your expertise in CUDA, C++, and GPU programming to analyze ...

Nextthink Engineer (Remote)

Newark, NJ ยท Remote

$100K - $120K/yr

NextThink Engineer Location: Newark, NJ (On-site) Experience: 6-8 Years Employment Type: Full-Time ... Support Windows 10/11 administration, troubleshooting, and performance optimization. * Design self ...

Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge GPU optimization project. You will apply your expertise in CUDA, C++, and GPU programming to analyze ...

Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge GPU optimization project. You will apply your expertise in CUDA, C++, and GPU programming to analyze ...

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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 New York?

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

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

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

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

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

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

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

RF Engineer

24-MAG LLC

Manhattan, NY โ€ข On-site, Remote

Part-time, Contractor

Posted 2 days ago

New


Job description

Remote | Electrical Engineering Simulation Expert (RF & Circuit Design)New York, New York, United StatesAbout the JobWe are sharing a specialised part-time consulting opportunity for electrical engineering professionals with deep expertise in RF and microwave systems, circuit simulation, computational modelling, and scientific software.This role supports the development of advanced AI benchmarks for research-level scientific and engineering problem solving. Selected experts will design original computational problems that require AI systems to use specialised engineering tools, run simulations, interpret results, recover hidden parameters, and reason through complex multi-step workflows.Key ResponsibilitiesRF & Microwave EngineeringDevelop challenging computational problems involving RF and microwave network analysisCreate tasks using S-parameters, transmission-line models, impedance behaviour, and network characterisationApply tools such as scikit-rf or comparable RF engineering softwareDesign problems that require interpretation of simulated or measured RF dataDevelop scenarios involving parameter recovery and inverse-analysis workflowsCircuit Simulation & AnalysisCreate expert-level circuit problems using ngspice or comparable circuit-simulation environmentsDevelop tasks involving operating-point analysis, frequency response, transient behaviour, and circuit characterisationDesign scenarios requiring recovery of circuit parameters from measurement or simulation outputsEvaluate circuit behaviour across complex multi-stage workflowsProduce reference solutions grounded in sound electrical engineering principlesScientific Problem & Benchmark DesignDesign original graduate-level problems based on realistic computational engineering workflowsCreate tasks requiring multi-step reasoning rather than straightforward calculationDevelop both fully specified computational problems and information-recovery challengesConstruct scenarios in which systems must strategically determine what to simulate, measure, or queryEnsure problems reward careful reasoning rather than surface-level pattern matchingSimulation Validation & Difficulty CalibrationTest problem designs against advanced AI systemsAnalyse model performance and identify where tasks are too easy, too ambiguous, or insufficiently rigorousRefine scenarios iteratively until they reach the intended technical difficultyDevelop oracle functions, validators, and reference solutions for computational tasksConfirm that problem setups are reproducible and technically well definedPython & Scientific ComputingWrite Python code supporting simulation setups, validation logic, and problem-generation workflowsWork with scientific libraries and engineering software in Linux and terminal-based environmentsBuild reproducible computational workflows suitable for remote executionDiagnose software limitations, numerical edge cases, and modelling assumptionsApply strong engineering judgement when interpreting computational resultsIdeal ProfileGraduate-level expertise in Electrical Engineering, RF Engineering, Microwave Engineering, Circuit Design, or a closely related STEM disciplineMS, PhD, or equivalent substantial research experienceStrong hands-on experience with RF, microwave, circuit simulation, or computational electrical engineeringProven proficiency with scikit-rf, ngspice, or comparable specialised scientific softwareExperience using engineering software in research, professional development, publications, or open-source projectsStrong Python programming skillsDeep understanding of S-parameters, RF network analysis, circuit behaviour, and simulation methodologyAbility to design technically challenging problems involving inverse analysis or parameter recoveryComfortable working in Linux, terminal environments, and remote compute sandboxesStrong understanding of numerical limitations, modelling assumptions, and scientific-software edge casesExperience with benchmark design, scientific education, examination development, or problem-set creation is advantageousFamiliarity with computational reproducibility or containerised environments is highly valuedEngagement DetailsPart-time independent contractor engagementFully remoteMinimum availability of approximately 15โ€“20 hours per weekFlexible scheduling based on project requirementsCompensation: $60โ€“$75/hourProjects may be extended, shortened, or concluded based on project needs and performanceWork must be completed without using confidential or proprietary information belonging to any employer, client, institution, or other third partyH1-B and STEM OPT support is unavailable for this engagementAbout the PlatformThis opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy.