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Remote Mri Rf Coil Engineer Jobs in Gary, IN (NOW HIRING)

Remote Mri Rf Coil Engineer information

See Gary, IN salary details

$36.8K

$117.1K

$182.1K

How much do remote mri rf coil engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for remote mri rf coil engineer in Gary, IN is $117,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,000.00 and $138,300.00 per year, depending on experience, location, and employer.

What does a remote MRI RF coil engineer do?

A Remote MRI RF Coil Engineer designs, develops, and maintains radiofrequency (RF) coils used in MRI (Magnetic Resonance Imaging) machines, often while working from a remote location. Their work involves creating coils that optimize image quality, reduce noise, and ensure patient safety. These engineers use specialized software and collaborate with medical teams and manufacturing partners to solve technical challenges, troubleshoot issues, and improve coil performance. Remote work typically involves digital communication, simulation, and virtual testing before coils are physically produced and tested in labs or clinical environments.

What are the key skills and qualifications needed to thrive as a remote MRI RF coil engineer?

To thrive as a Remote MRI RF Coil Engineer, you need a solid background in electrical engineering, RF circuit design, and MRI physics, usually supported by a relevant engineering degree. Familiarity with simulation tools (such as HFSS or CST), PCB design software, and safety standards, along with experience in MRI system integration, is essential. Strong problem-solving abilities, attention to detail, and effective communication are crucial soft skills for diagnosing issues remotely and collaborating with multidisciplinary teams. These skills ensure precise RF coil design, compliance with safety protocols, and the ability to resolve complex technical challenges efficiently in a remote setting.

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

Remote MRI RF Coil Engineers often face challenges related to effective communication and collaboration with on-site teams, especially when troubleshooting hardware issues or optimizing coil performance. To address these challenges, it's important to establish clear communication channels, utilize remote diagnostic tools, and schedule regular virtual meetings with cross-functional teams such as MRI technologists, design engineers, and project managers. Building strong documentation practices and being proactive in seeking feedback can also help ensure smooth project progress and high-quality outcomes, even when working remotely.

What job categories do people searching Remote Mri Rf Coil Engineer jobs in Gary, IN look for?

The top searched job categories for Remote Mri Rf Coil Engineer jobs in Gary, IN are:

Infographic showing various Remote Mri Rf Coil Engineer job openings in Gary, IN as of June 2026, with employment types broken down into 3% As Needed, 41% Full Time, 8% Part Time, 45% Contract, and 3% Nights. Highlights an 42% Physical, 2% Hybrid, and 56% Remote job distribution, with an average salary of $117,102 per year, or $56.3 per hour.

Digital Signal Processing (DSP) Engineer - AI/ML Ops / Remote

Chicago, IL โ€ข Remote

Apetan Consulting llc
IT Servicesย โ€ขย 1 - 10 employees

$80 - $150/hr

Contractor

Re-posted 2 days ago


Job description

Digital Signal Processing (DSP) Engineer – AI/ML Ops
Location: Chicago, IL (Hybrid/Onsite Preferred)
 
Responsibilities
• Design and implement advanced DSP algorithms for real-time and offline signal processing.
• Develop AI/ML models for signal classification, anomaly detection, feature extraction, and predictive analytics.
• Build scalable data pipelines for signal acquisition, preprocessing, and model training.
• Deploy ML models into production using MLOps best practices.
• Optimize DSP and AI algorithms for latency, throughput, and computational efficiency.
• Collaborate with data scientists, embedded engineers, and software development teams.
• Implement CI/CD pipelines for machine learning workflows.
• Monitor production models for drift, performance, and reliability.
• Work with cloud-native AI services and containerized deployments.
• Document architecture, algorithms, and deployment processes.
 
Required Qualifications
• Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
• 5+ years of experience in Digital Signal Processing.
• Strong knowledge of: o Digital Filters o FFT o Wavelets o Spectral Analysis o Adaptive Filtering o Time-Series Signal Processing
• Proficiency in Python and C/C++.
• Experience with TensorFlow or PyTorch.
• Hands-on experience building ML pipelines.
• Experience with Docker and Kubernetes.
• Experience with Git and CI/CD. Preferred Qualifications
• Experience with MLflow, Kubeflow, SageMaker, Vertex AI, or Azure ML.
• Experience deploying AI models at the edge.
• Familiarity with NVIDIA CUDA or GPU optimization.
• Experience with audio, radar, RF, image, LiDAR, or sensor signal processing.
• Knowledge of LLMs and Agentic AI is a plus.
• Experience working in regulated industries (Healthcare, Automotive, Aerospace, Telecom, Industrial).