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Remote Rf Optimization Engineer Jobs in Seattle, WA

Software Engineer

Seattle, WA · On-site +1

$94K - $137K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Implement best practices for cloud security, performance, and cost optimization * Collaborate with ... Employee divides their time between in-office and remote work. Access to an office location is ...

Senior Software Engineer

Seattle, WA · On-site +1

$158K - $232K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Implement best practices for cloud security, performance, and cost optimization * Collaborate with ... Employee divides their time between in-office and remote work. Access to an office location is ...

Remote, USA Let's create our future together at The AES Group! About The AES Group: The AES Group ... IT teams to ensure optimal network performance and security. Key Responsibilities * Design ...

Software Engineer

Seattle, WA · On-site +1

$118K - $183K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Lead the implementation and optimization of search clusters to ensure sub-second query performance ... Employee divides their time between in-office and remote work. Access to an office location is ...

Enterprise Solutions Engineer

Seattle, WA · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... optimizing performance on embedded platforms. Responsibilities and Duties * Contribute to the ... Work within the Enterprise team in Zurich as a remote engineer and collaborate with other ...

Principal Software Engineer (Search AI)

Seattle, WA · On-site +1

$153K - $206K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Lead the implementation and optimization of search clusters to ensure sub-second query performance ... Employee divides their time between in-office and remote work. Access to an office location is ...

Senior Software Engineer, Build Infrastructure

Seattle, WA · Remote

$139K - $183K/yr

  • Medical

  • Life

  • PTO

This role entails configuring and upgrading compilers, profiling and optimizing build pipelines ... While we have established a robust foundation using Bazel in a monorepo along with a remote build ...

Good communication skills and work ethic for a remote workplace. * An interest in low-level optimization and performance engineering. * An interest in financial data or algorithmic trading. Notice ...

Good communication skills and work ethic for a remote workplace. * An interest in low-level optimization and performance engineering. * An interest in financial data or algorithmic trading. Notice ...

Showing results 41-60

Remote Rf Optimization Engineer information

See Seattle, WA salary details

$42.1K

$133.9K

$208.3K

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

As of Aug 19, 2026, the average yearly pay for remote rf optimization engineer in Seattle, WA is $133,923.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $158,200.00 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 Seattle, WA?

The most popular types of Rf Optimization Engineer jobs in Seattle, WA are:

What are popular job titles related to Remote Rf Optimization Engineer jobs in Seattle, WA?

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

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

The top searched job categories for Remote Rf Optimization Engineer jobs in Seattle, WA are:

Infographic showing various Remote Rf Optimization Engineer job openings in Seattle, WA 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 $133,923 per year, or $64.4 per hour.

Senior Software Engineer, AI Speed Infrastructure

Nvidia

Redmond, WA • On-site, Remote

$137K - $180K/yr

Full-time

Re-posted 7 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 245 rated software companies


Job description

With the latest advances in AI, verification and feedback loops are becoming the clock speed of software development. We are looking for someone who wants to build AI speed infrastructure for Tegra: a ridiculously fast build, test, and validation system for the future, aimed at supporting developers and swarms of agents where turn times will be measured in seconds. We are looking for someone passionate about building the build, test, and validation platform for our Tegra driver developers: someone who can design workflows, build the CI control plane, and dramatically improve development speed and signal quality across large, safety-critical C/C++ codebases. The right person will treat build graphs, test selection, cacheability, hermeticity, hardware scheduling, policy, and developer experience as first-class product surfaces, turning them into workflows teams actually want to use and integrating AI agents into the control plane to enable self-healing and further optimizations.

This is fundamentally a performance engineering role. You will be ruthlessly optimizing every step of the pipeline-rebuilding infrastructure from the ground up wherever needed-to define how code moves from a developer's (or agent's) change to a trusted, merged signal. We want someone who can design fully automated, multi-tiered testing pipelines where code is seamlessly validated across local, remote, and scarce device-lab resources. You will architect how risk-based gating operates at agent-speed, how failures are autonomously diagnosed and remediated, how infrastructure self-heals, and how we scale these next-generation workflows across massive engineering teams.

What you'll be doing:

  • Build AI-native, self-healing CI workflows for large Tegra C/C++ codebases

  • Design fast build, test, and validation paths that keep developers and agents in tight loops

  • Integrate reasoning agents that can triage failures, recommend fixes, and safely automate routine recovery

  • Improve incremental builds, caching, remote execution, and test selection

  • Integrate simulation, emulation, and device-backed testing into trustworthy CI

  • Build machine-readable outputs, policies, and recovery paths that agents can safely use at scale

  • Package workflows and platform capabilities so other teams can reuse them

  • Drive adoption with metrics, docs, and hands-on enablement

What we need to see:

  • BS/MS in Electrical or Computer Engineering, or equivalent experience

  • 8+ years of relevant industry experience

  • Strong systems / build architecture for C/C++ codebases

  • Real daily use of AI coding tools and agent workflows

  • Deep experience with build systems, CI orchestration, and test strategy

  • Python / scripting for workflow automation, tooling, and agents

  • Ability to reason about safety-critical or high-assurance validation flows

Ways to stand out from the crowd:

  • Built or scaled CI/build systems for large mono-repos or embedded platforms

  • Improved feedback loops with measurable gains in build/test latency or signal quality

  • Built speed infrastructure for AI coding agents, autonomous validation, or high-throughput CI users

  • Worked on hardware/device-lab testing, remote execution, or change-based test selection

  • Shipped internal AI-assisted developer workflows used by other engineers

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most hard-working and talented people in the world working for us. If you're creative and passionate about developing cloud services we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 15, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993