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From Home Ran Optimization Engineer Jobs (NOW HIRING)

AST SpaceMobile

RAN Deployment Engineer

Miami, FL

Position Overview The RAN Deployment Engineer is responsible for executing all deployment ... Own technical handover from Delivery to Service Acceptance, ensuring all acceptance criteria and ...

Grimco

We are seeking a Process Optimization Engineer to enhance the efficiency, quality, and safety of ... You authorize and release all parties from any liability or damage that may result from seeking ...

Oxy

AI Optimization Engineer

Houston, TX · On-site

... Optimization Engineer within ourApplied AI Center of Excellence group based in Houston, TX. ... We recommend against responding to unsolicited business propositions or offers from people you do ...

Crescent Energy

Optimization Tech

Dilley, TX · On-site

Our long-life, balanced portfolio combines stable cash flows from low-decline production with a ... This role collaborates with engineers, operators, and foremen to enhance well operations ...

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From Home Ran Optimization Engineer information

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$59

$81

How much do from home ran optimization engineer jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for from home ran optimization engineer in the United States is $59.65, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $73.56 per hour, depending on experience, location, and employer.

What are some common challenges faced by a From Home RAN Optimization Engineer, and how can they be addressed?

Working as a From Home RAN Optimization Engineer often involves challenges such as remote collaboration with field teams, troubleshooting network issues without on-site access, and managing time effectively across different projects. To address these, it's important to establish strong communication channels with colleagues, make use of remote access tools for network monitoring, and maintain a disciplined daily routine. Participating in regular virtual meetings and staying updated on the latest network optimization technologies can also help in overcoming these challenges.

What is a From Home Ran Optimization Engineer?

A From Home RAN Optimization Engineer is a telecommunications professional who works remotely to monitor, analyze, and improve the performance of Radio Access Networks (RAN). Their responsibilities include optimizing network coverage, capacity, and quality to ensure reliable mobile communication services. They use specialized tools to analyze network parameters, troubleshoot issues, and implement solutions to enhance user experience. By working from home, these engineers collaborate with team members and clients online, leveraging remote access to network systems and data.

What is the difference between From Home Ran Optimization Engineer vs From Home Radio Network Optimization Engineer?

AspectFrom Home Ran Optimization EngineerFrom Home Radio Network Optimization Engineer
CredentialsBachelor's in Telecommunications, Networking, or related field; certifications like Cisco CCNA or RF certificationsBachelor's in Electrical Engineering, Telecommunications, or related; similar RF and network certifications
Work EnvironmentRemote, primarily analyzing and optimizing LTE/5G RAN networksRemote, focusing on radio access network performance and coverage
Industry UsageTelecom companies, network service providersTelecom industry, network operators
Search & ComparisonOften compared with Radio Network Optimization Engineers due to similar roles

Both roles involve optimizing radio access networks, but the From Home Ran Optimization Engineer focuses more on LTE/5G RAN systems, while the Radio Network Optimization Engineer may include broader radio coverage and signal quality tasks. Both positions require similar technical credentials and are used within telecom companies for network performance enhancement.

What are the key skills and qualifications needed to thrive as a From Home RAN Optimization Engineer, and why are they important?

To thrive as a From Home RAN Optimization Engineer, you need a solid background in wireless communication principles, radio access network (RAN) technologies, and a degree in telecommunications or a related field. Familiarity with tools such as TEMS, Atoll, Actix, and network management systems, as well as relevant certifications like CCNA or vendor-specific credentials, is highly beneficial. Strong analytical skills, problem-solving abilities, and effective remote communication are crucial soft skills for this role. These competencies ensure optimal network performance, efficient troubleshooting, and seamless collaboration with distributed teams.
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From Home Ran Optimization Engineer jobs near you
Principal Model Optimization Engineer

Principal Model Optimization Engineer

Roblox

San Mateo, CA • On-site

Other

Re-posted 5 days ago

Job description

ML Platform @ Roblox today supports hundreds of ML use cases and billions of inferences per day across Discovery, Safety, Engine, and much more. As a Model Optimization engineer on ML Platform, you will be responsible for digging deep into model internals to optimize performance, for both training and inference. We are looking for accomplished engineers to help us maximize performance of our platform.

You Will:

  • Optimize machine learning models for performance on GPU architectures, focusing on both training and inference workflows.
  • Conduct low-level performance profiling analysis to identify bottlenecks in existing machine learning pipelines and propose actionable improvements.
  • Contribute to the development of best practices and tooling for model optimization and deployment.
  • Collaborate with cross-functional teams, including data scientists and software engineers, to integrate and deploy optimized models into production environments.
  • Partner across organizations to build tooling, interfaces, and visualizations that make the ML@Roblox a delight to use.

You Have: 

  • 6+ years of professional experience and a tool chest of system design experience upon which to draw to build performant systems for all of Roblox.
  • Have significant experience debugging GPUs - reading GPU profiles, debugging Xid errors, etc.
  • Proficient in advanced tools and frameworks (e.g., CUDA, Triton, TensorRT) to enhance model execution speed and reduce latency.
  • Experience with model optimization techniques for LLMs, such as speculative decoding, continuous batching, quantization, etc.
  • A performance nut; you love pushing the limits of what's possible, whether it's squeezing every last ounce of efficiency from a GPU, fine-tuning algorithms for peak speed, or innovating new techniques to enhance model performance
  • A generalization advocate: you're passionate about building tools and frameworks that consistently deliver improvements in model performance.
  • Passionate about supporting internal partners (data scientists and ML Engineers) to meet and understand their needs.
  • A Bachelor's degree in Computer Science, Computer Engineering, Data Science, or a similar technical field.

Apply