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Remote Huawei Rf Engineer Jobs in San Pablo, CA (NOW HIRING)

Mercor

RF Circuit Design Expert

San Francisco, CA · On-site +1

$70 - $100/hr

Electrical Engineering & RF/Circuit Design Expert Type: Contract Compensation: $70-$100/hour Location: Remote Commitment: 15-20 hours/week Role Responsibilities * Design challenging computational ...

All JobsHuawei Rf Engineer JobsRemote Huawei Rf Engineer JobsRemote Huawei Rf Engineer Jobs in San Pablo, CA

Remote Huawei Rf Engineer information

See San Pablo, CA salary details

$41.7K

$132.6K

$206.2K

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

As of Aug 9, 2026, the average yearly pay for remote huawei rf engineer in San Pablo, CA is $132,617.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,900.00 and $156,600.00 per year, depending on experience, location, and employer.

What is the difference between Remote Huawei Rf Engineer vs Remote 5G Network Engineer?

AspectRemote Huawei Rf EngineerRemote 5G Network Engineer
CertificationsHuawei certifications, RF engineering certifications5G, RF, and network certifications (e.g., Cisco, Nokia)
Work EnvironmentTelecom companies, network service providers, remote field supportTelecom firms, network operators, remote network deployment
Industry UsagePrimarily in Huawei-based network projectsAcross multiple vendors including Huawei, Ericsson, Nokia

The Remote Huawei Rf Engineer focuses on Huawei-specific RF network deployment and optimization, often working with Huawei equipment. In contrast, the Remote 5G Network Engineer has a broader scope, working with various vendors' 5G technologies and equipment. Both roles require RF knowledge and certifications but differ in vendor specialization and project scope.

What cities near San Pablo, CA are hiring for Remote Huawei Rf Engineer jobs? Cities near San Pablo, CA with the most Remote Huawei Rf Engineer job openings:
Remote Huawei Rf Engineer jobs near you
Infographic showing various Remote Huawei Rf Engineer job openings in San Pablo, CA as of August 2026, with employment types broken down into 87% Full Time, 8% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $132,617 per year, or $63.8 per hour.

RF Circuit Design Expert

Mercor

San Francisco, CA • On-site, Remote

$70 - $100/hr

Full-time

Re-posted 9 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Electrical Engineering & RF/Circuit Design Expert
Type: Contract
Compensation: $70–$100/hour
Location: Remote
Commitment: 15–20 hours/week

Role Responsibilities

  • Design challenging computational problems to test AI systems using real scientific software.
  • Develop problems requiring skilled use of specialized scientific software like scikit-rf and ngspice.
  • Evaluate and refine problems through testing loops against state-of-the-art AI models.
  • Create problems that require strategic planning and efficient query or experiment execution.
  • Work independently to refine problem designs based on feedback.
  • Collaborate asynchronously, ensuring flexibility in hours and meeting deadlines.

Qualifications

Must-Have

  • Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience).
  • Proven proficiency with scientific software libraries through research publications, open-source contributions, or professional work.
  • Strong Python skills for writing problem setups, oracle functions, and solution validators.
  • Ability to work in a Linux/terminal environment with remote compute sandboxes.
  • Available for at least 15–20 hours per week.

Preferred

  • Experience across multiple listed domains or tools.
  • Familiarity with benchmark or evaluation design.
  • Background in scientific teaching or exam/problem-set design.
  • Experience with computational reproducibility and containerized environments.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.