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Remote Rf Optimization Engineer Jobs in Atlanta, GA

Career Renew

Senior Machine Learning Engineer

Atlanta, GA · Remote

$165K - $225K/yr

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... optimization Experience with large-scale model training, distributed computing, or cloud ML ...

United Airlines

Digital Manufacturing Engineer

Atlanta, GA · On-site +1

$53K - $122K/yr

Location This is a Remote Role. About the job you're considering We are building modern, highly ... Design efficient data models and queries optimized for real-time operational use * Work directly ...

Sequoia Connect

Junior Data Engineer

Atlanta, GA · On-site +1

Remote If you meet these qualifications and are pursuing new challenges, start your application on ... optimization. * Good analytical, problem-solving, and communication skills.

Sequoia Connect

Junior Data Engineer

Atlanta, GA · Remote

Remote If you meet these qualifications and are pursuing new challenges, start your application on ... optimization. * Good analytical, problem-solving, and communication skills.

Switch

Controls Engineer III

Atlanta, GA · On-site +1

$81K - $105K/yr

Controls Engineer III As a Controls Engineer III, you lead deployment, programming, optimization ... Flexibility & Remote Opportunities - Whether in-office, hybrid, or fully remote, we offer the ...

SupplyHouse

Principal Engineer

Atlanta, GA · Remote

$50K - $60K/yr

System Engineering & Optimization * Build and maintain distributed systems using Spring Boot microservices, Docker, and Kubernetes. * Design and optimize high-performance databases using MySQL and ...

Switch

Facilities Chief Engineer

Lithia Springs, GA · On-site +1

... ensuring optimal performance, efficiency, and operational resilience. * Oversee preventive ... Flexibility & Remote Opportunities - Whether in-office, hybrid, or fully remote, we offer the ...

Switch, Inc.

Facilities Chief Engineer

Atlanta, GA · On-site +1

... ensuring optimal performance, efficiency, and operational resilience. * Oversee preventive ... Flexibility & Remote Opportunities Whether in-office, hybrid, or fully remote, we offer the ...

TIER4 GROUP

Production Support Engineer

Atlanta, GA · On-site +1

$40.50 - $52.75/hr

... remote Job Summary: We are seeking a dedicated and detail-oriented Production Support Analyst ... Identify opportunities for performance optimization and work on tuning and enhancing system ...

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All JobsRf Optimization Engineer JobsRemote Rf Optimization Engineer JobsRemote Rf Optimization Engineer Jobs in Atlanta, GA

Remote Rf Optimization Engineer information

See Atlanta, GA salary details

$35.6K

$113.2K

$176K

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

As of Aug 20, 2026, the average yearly pay for remote rf optimization engineer in Atlanta, GA is $113,168.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,800.00 and $133,700.00 per year, depending on experience, location, and employer.

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 Atlanta, GA?

The most popular types of Rf Optimization Engineer jobs in Atlanta, GA are:

What are popular job titles related to Remote Rf Optimization Engineer jobs in Atlanta, GA?

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

What job categories do people searching Remote Rf Optimization Engineer jobs in Atlanta, GA look for?

The top searched job categories for Remote Rf Optimization Engineer jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Remote Rf Optimization Engineer jobs?

Cities near Atlanta, GA with the most Remote Rf Optimization Engineer job openings:

Remote Rf Optimization Engineer jobs near you
Infographic showing various Remote Rf Optimization Engineer job openings in Atlanta, GA as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $113,168 per year, or $54.4 per hour.

Senior Machine Learning Engineer

Career Renew

Atlanta, GA • Remote

$165K - $225K/yr

Full-time

Re-posted 28 days ago

Job description

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus equity.
We are the leading virtual staining company revolutionizing digital pathology adoption worldwide through cutting-edge AI-powered technology. Our solutions deliver diagnostic-quality results in minutes while preserving tissue samples for comprehensive analysis.
Our breakthrough DeepStain™ and ReStain™ technologies enable unlimited virtual staining from a single tissue sample, eliminating the bottlenecks and limitations of traditional chemical staining processes. This innovation supports the critical evolution from research applications to clinical deployment, empowering laboratories to advance their digital pathology capabilities while reducing chemical waste, improving operational efficiency, and expanding diagnostic possibilities.

About the Role

We are seeking an experienced Senior ML Engineer to join our team who owns the representation-learning and generative modeling stack that powers Pictor’s virtual staining. The ideal candidate will have deep expertise in Machine Learning and building generalizable, production-ready models, and evaluations that stand up in clinical workflows.
Design and implement novel computer vision and deep learning algorithms for virtual staining and digital pathology applications
Conduct rigorous experiments to evaluate algorithm performance, validate research hypotheses, and drive iterative improvements
Develop and advance ML models leveraging Vision Transformers, Diffusion Models, GANs, and generative architectures for image-to-image translation tasks
Apply classical and learned image enhancement, denoising, and semantic segmentation techniques to histopathology imaging challenges
Explore image representation in latent space for efficient, high-fidelity virtual staining
Stay current with state-of-the-art research, identifying opportunities to apply novel techniques to PictorLabs’ product roadmap

Collaboration
Collaborate with ML Engineering and software teams to translate research prototypes into production-ready systems meeting latency and throughput requirements
Work with large-scale pathology datasets to train, validate, and fine-tune foundation models and custom architectures
Partner with software engineers, data scientists, and pathology domain experts to integrate research into production systems
Contribute to best practices for data engineering, data governance, and data quality across research and production pipelines
Leverage AI coding and ideation tools to accelerate research velocity and prototype new approaches

Required Qualifications

PhD (preferred) or Master’s degree in Computer Science, Electrical Engineering, or a related field
Deep expertise in computer vision and deep learning, with hands-on experience in one or more of: Vision Transformers, Diffusion Models, GANs, semantic segmentation, or classical image enhancement and denoising
Expert proficiency in Python and PyTorch and other scientific computing environments a plus
Strong mathematical foundation in linear algebra, probability, and optimization
Experience with large-scale model training, distributed computing, or cloud ML infrastructure (AWS, GCP, or Azure)
Knowledge of handling large scale image data, data version controls, model registry, has experience dealing with ML lifecycles
Experience with feature search, data balancing, and data curation pipelines.
Knowledge of software engineering best practices including version control (Git) and CI/CD pipelines
Excellent collaboration and communication skills, with the ability to work effectively in a fast-paced, cross-functional international startup environment
Extensive use of AI tools for coding, optimization, and ideation

Preferred Qualifications

Experience with medical imaging, digital pathology, or whole slide image (WSI) processing
Experience with LoRAs, transformer architecture and state of the art image to image translation models (Flux 2, Z-Image) and the Hugging face ecosystem
Background in generative models and fine-tuning of foundation models
Experience with GPU acceleration and optimization, including CUDA kernel engineering, TensorRT/ONNX export, and inference serving frameworks such as Triton
Experience with hosting computer vision model inference on NVIDIA DGX Spark.
Understanding of FDA regulatory requirements for AI/ML in medical devices
Experience with MLOps tools (MLflow, Kubeflow) and model versioning practices
Develop tools and frameworks to streamline ML research workflows, experimentation, and reproducibility

What We Offer

The opportunity to work on technology that directly improves patient outcomes and transforms clinical diagnostics, alongside a talented team of engineers and researchers pushing the boundaries of AI in healthcare. You will have the freedom to pursue high-impact research while seeing your work deployed at scale in real clinical environments.