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Remote Rfic Design Engineer Jobs in Gardena, CA (NOW HIRING)

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 ...

AI Engineer - Remote

Los Angeles, CA · Remote

$80 - $120/hr

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 ...

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 ...

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 ...

Remote Job Overview We are seeking experienced Civil Engineers to contribute to a high-impact ... Create realistic civil engineering evaluation tasks covering structural design, transportation ...

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 ...

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 DevOps Engineers to create and evaluate production ... Design realistic DevOps tasks covering CI/CD, containers, Kubernetes, IaC, monitoring, and incident ...

Showing results 21-40

Remote Rfic Design Engineer information

See Gardena, CA salary details

$18

$51

$75

How much do remote rfic design engineer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for remote rfic design engineer in Gardena, CA is $51.95, according to ZipRecruiter salary data. Most workers in this role earn between $40.14 and $63.32 per hour, depending on experience, location, and employer.

What is a remote RFIC design engineer?

Remote RFIC (Radio Frequency Integrated Circuit) Design Engineers are specialized electrical engineers who design, test, and optimize integrated circuits used in radio frequency applications, such as wireless communications, radar, and IoT devices. Working remotely, they use electronic design automation (EDA) tools to create schematics, layout designs, and verify circuit performance, often collaborating with teams across different locations. Their work is crucial for developing chips that enable high-speed, reliable wireless communication in products like smartphones, Wi-Fi routers, and satellite systems.

What skills and qualifications are needed to be a remote RFIC design engineer?

To thrive as a Remote RFIC Design Engineer, you need a solid background in electrical engineering, expertise in RF circuit design, and experience with semiconductor design processes, often supported by a relevant degree. Proficiency with industry-standard EDA tools such as Cadence Virtuoso, ADS, and simulation tools, as well as familiarity with layout and verification processes, is typically required. Strong problem-solving skills, effective communication, and self-motivation are crucial soft skills for collaborating remotely and delivering complex projects. These competencies ensure high-quality, innovative RFIC solutions are developed efficiently, even in distributed work environments.

What challenges do remote RFIC design engineers face, and how can they be addressed?

Remote RFIC Design Engineers often encounter challenges such as coordinating with cross-functional teams across different time zones and ensuring seamless communication during the design and verification phases. Additionally, accessing specialized lab equipment and debugging complex issues remotely can be demanding. These challenges can be mitigated by leveraging collaborative design tools, maintaining clear documentation, and scheduling regular virtual meetings to stay aligned with the team. Proactive communication and efficient use of remote access to simulation and testing resources are key to maintaining productivity in this role.

What is the difference between Remote Rfic Design Engineer vs Remote RF Engineer?

AspectRemote Rfic Design EngineerRemote RF Engineer
CredentialsBachelor's or higher in Electrical Engineering, RF or CommunicationsBachelor's or higher in Electrical Engineering, RF or Communications
Work EnvironmentDesign labs, remote collaboration, CAD toolsField testing, lab work, remote analysis
Industry UsageWireless device manufacturers, telecom companiesTelecom providers, wireless equipment firms
Job FocusDesign and development of RFIC components and circuitsDesign, testing, and optimization of RF systems and components

Both roles require similar educational backgrounds and industry experience, but the Remote Rfic Design Engineer primarily focuses on designing RF integrated circuits, while the Remote RF Engineer works on broader RF systems and testing. The choice depends on whether you prefer circuit design or system-level work within the wireless industry.

What are popular job titles related to Remote Rfic Design Engineer jobs in Gardena, CA?

For Remote Rfic Design Engineer jobs in Gardena, CA, the most frequently searched job titles are:

What cities near Gardena, CA are hiring for Remote Rfic Design Engineer jobs?

Cities near Gardena, CA with the most Remote Rfic Design Engineer job openings:

Backend Engineer - Remote

Los Angeles, CA • Remote

$80 - $120/hr

Full-time

Posted 14 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.