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Remote Rf Design Engineer Jobs in San Francisco, CA

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... You will design reproducible environments, deterministic verification, and reference solutions for ...

... require design, engineering, permitting, construction and/or operations support. You can be hybrid out of our San Diego, Long Beach, Pleasanton, or Sacramento office. Remote work might also be ...

Position: AWS Cloud Engineer - Python (Contract) Location: Remote (U.S.) Duration: 12-Month ... Design, develop, and maintain scalable cloud applications using Python and AWS. * Build and enhance ...

Remote Job Overview We are seeking experienced GPU Programmers / Software Engineers to design and optimize GPU-based tasks for AI and LLM applications. You will apply your expertise in GPU ...

Remote Job Overview We are seeking experienced GPU Programmers / Software Engineers to design and optimize GPU-based tasks for AI and LLM applications. You will apply your expertise in GPU ...

Field Engineer

San Francisco, CA · Remote

$74K - $95K/yr

Field Sales Engineer - Remote Northern California - Up to 60% travel required Come build something ... Provide assistance on proprietary technical anchor design software to clients and communicate ...

Remote Job Overview We are seeking experienced DevOps Engineers to create and evaluate production ... Design realistic DevOps tasks covering CI/CD, containers, Kubernetes, IaC, monitoring, and incident ...

Showing results 41-60

Remote Rf Design Engineer information

See San Francisco, CA salary details

$43.6K

$138.6K

$215.6K

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

As of Sep 4, 2026, the average yearly pay for remote rf design engineer in San Francisco, CA is $138,648.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,900.00 and $163,800.00 per year, depending on experience, location, and employer.

What is a remote RF design engineer?

A Remote RF Design Engineer is a professional who specializes in designing and optimizing radio frequency (RF) systems and components, such as antennas, transmitters, and receivers, while working remotely from a location outside of a traditional office or lab. These engineers use specialized software and tools to model, simulate, and test RF circuits and systems for applications like wireless communications, broadcasting, and radar. Their responsibilities often include collaborating with multidisciplinary teams, troubleshooting RF issues, and ensuring compliance with industry standards—all while leveraging online communication platforms.

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

To excel as a Remote RF Design Engineer, you need a strong background in electrical engineering, RF circuit theory, and practical experience in wireless communication systems, often supported by a relevant degree. Familiarity with design tools such as HFSS, ADS, CST, and experience with simulation and measurement equipment are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills are crucial for collaborating remotely and addressing complex design challenges. These skills ensure the development of reliable, high-performance RF solutions and facilitate effective teamwork in distributed engineering environments.

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

Remote RF Design Engineers often encounter challenges such as limited access to on-site testing facilities, reliance on virtual collaboration tools, and managing communication across distributed teams. To address these, it's important to establish clear communication protocols, leverage simulation software for remote testing, and schedule regular check-ins with other engineering team members. Additionally, proactively sharing design updates and documentation helps ensure alignment and smooth project progression.

What is the difference between Remote Rf Design Engineer vs Remote Wireless Systems Engineer?

AspectRemote Rf Design EngineerRemote Wireless Systems Engineer
CredentialsBachelor's in Electrical Engineering, RF certificationsBachelor's in Electrical/Communications Engineering, RF certifications
Work EnvironmentDesign labs, remote collaboration, project-basedSystem integration, network testing, remote teams
Industry UsageTelecom, wireless device manufacturingWireless network providers, telecom infrastructure

The Remote Rf Design Engineer primarily focuses on designing RF components and circuits, while the Remote Wireless Systems Engineer works on integrating and optimizing entire wireless systems. Both roles require RF knowledge and often overlap in industry applications, but their core responsibilities differ in scope and focus.

What are the most commonly searched types of Rf Design Engineer jobs in San Francisco, CA?

The most popular types of Rf Design Engineer jobs in San Francisco, CA are:

What job categories do people searching Remote Rf Design Engineer jobs in San Francisco, CA look for?

The top searched job categories for Remote Rf Design Engineer jobs in San Francisco, CA are:

What cities near San Francisco, CA are hiring for Remote Rf Design Engineer jobs?

Cities near San Francisco, CA with the most Remote Rf Design Engineer job openings:

Infographic showing various Remote Rf Design Engineer job openings in San Francisco, CA as of August 2026, with employment types broken down into 78% Full Time, 11% Part Time, 5% Temporary, and 6% Contract. Highlights an 6% In-person, and 94% Remote job distribution, with an average salary of $138,648 per year, or $66.7 per hour.

RL Environment Engineer - Remote

YO AI Labs

San Francisco, CA • Remote

$80 - $120/hr

Full-time

Posted 8 days ago


Job description

Senior Software Engineer

Job Type: Contractor (~15 hours/week)
Location: Remote

Job Summary

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.