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Remote Rf Test Engineer Jobs in Santa Clara, CA (NOW HIRING)

Developing and executing test plans for intermediate and final products, including test fixture ... RF SOM and antenna design, Bluetooth * Flex circuit design * Cable harness design (esp. Altium ...

DevOps Expert - Remote

San Jose, CA ยท Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI ... SRE, and platform engineering. You will test AI-generated commands, configurations, and workflows ...

DevOps Expert - Remote

Palo Alto, CA ยท Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI ... SRE, and platform engineering. You will test AI-generated commands, configurations, and workflows ...

Field Sales Engineer

San Jose, CA ยท On-site +1

$145K - $185K/yr

RFMW is an electronic component distributor of RF and microwave products. This role is remote ... Comfortable calling on Engineering and Purchasing. * Strong Communication skills: Producing and ...

Senior Electrical Engineer

Fremont, CA ยท On-site +1

$174K - $226K/yr

Implementing design for emissions, test, manufacturing, and assembly test. * Participating in ... RF SOM and antenna design * Flex circuit design * Cable harness design (esp. Altium Harness ...

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI ... Test and validate AI-assisted workflows across DevOps, cloud, infrastructure, and platform ...

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI ... Test and validate AI-assisted workflows across DevOps, cloud, infrastructure, and platform ...

Showing results 21-40

Remote Rf Test Engineer information

See Santa Clara, CA salary details

$51.7K

$148K

$241.9K

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

As of Sep 10, 2026, the average yearly pay for remote rf test engineer in Santa Clara, CA is $148,037.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,200.00 and $169,100.00 per year, depending on experience, location, and employer.

What is the difference between Remote Rf Test Engineer vs Remote Wireless Test Engineer?

AspectRemote Rf Test EngineerRemote Wireless Test Engineer
CertificationsRF certifications, such as FCC or CEWireless communication certifications, like CWNP or Cisco Wireless
Work EnvironmentTesting RF components, modules, and systems remotelyTesting wireless devices, networks, and protocols remotely
Industry UsageTelecom, aerospace, defense, consumer electronicsTelecom, IoT, networking, consumer electronics

Both roles involve testing wireless technologies remotely, but the Remote Rf Test Engineer focuses on RF hardware and signal integrity, while the Remote Wireless Test Engineer emphasizes wireless protocols and network performance. The choice depends on whether the focus is on RF hardware or wireless communication systems.

What are the most commonly searched types of Rf Test Engineer jobs in Santa Clara, CA?

The most popular types of Rf Test Engineer jobs in Santa Clara, CA are:

What are popular job titles related to Remote Rf Test Engineer jobs in Santa Clara, CA?

For Remote Rf Test Engineer jobs in Santa Clara, CA, the most frequently searched job titles are:

What cities near Santa Clara, CA are hiring for Remote Rf Test Engineer jobs?

Cities near Santa Clara, CA with the most Remote Rf Test Engineer job openings:

Infographic showing various Remote Rf Test Engineer job openings in Santa Clara, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 4% Contract, and 1% Nights. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $148,037 per year, or $71.2 per hour.

Site Reliability Engineering(SRE) - Remote

San Jose, CA โ€ข Remote

$30 - $80/hr

Full-time

Posted 14 days ago


Job description

Developer & Infrastructure Expert

Role Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software development, cloud infrastructure, DevOps, SRE, and platform engineering. You will test AI-generated commands, configurations, and workflows and provide practical feedback based on real-world engineering standards.

No prior AI experience is required—your technical expertise and infrastructure knowledge are what matter most.

Key Responsibilities
  • Test and validate AI-assisted workflows across DevOps, cloud, infrastructure, and platform engineering.
  • Evaluate AI-generated commands, configurations, scripts, and deployment workflows for accuracy and reliability.
  • Work with AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD environments.
  • Review workflows involving GitHub, GitLab, Azure DevOps, and JIRA.
  • Assess AI agents and workplace connectors across tools such as Slack, Google Drive, and Microsoft 365.
  • Identify technical errors, security or reliability concerns, and workflow gaps.
  • Document findings and provide clear, actionable feedback.
  • Recommend improvements based on real-world engineering practices and industry standards.
  • Collaborate remotely with project stakeholders through written evaluations and virtual discussions.
Required Skills
  • Azure DevOps
  • Cloud Infrastructure
  • Site Reliability Engineering (SRE)
  • Platform Engineering
  • AWS / Azure / GCP
  • Kubernetes / Docker
  • Terraform
  • CI/CD
  • GitHub / GitLab / JIRA
  • Observability
  • ChatGPT Work
  • Claude Code
  • Claude Cowork
  • AI Agents
  • Workplace Connectors
Preferred Qualifications
  • Professional experience in software engineering, DevOps, SRE, cloud, platform, or infrastructure engineering.
  • Hands-on experience with major cloud platforms, Kubernetes, Docker, Terraform, CI/CD, and observability tools.
  • Experience with developer workflow and project management platforms such as GitHub, GitLab, Azure DevOps, and JIRA.
  • Experience using AI agents such as ChatGPT, Claude Code, Claude Cowork, or Codex in development or infrastructure workflows.
  • Strong ability to evaluate technical processes and provide actionable feedback.
  • Excellent written and verbal communication skills.
  • Experience with workplace connectors, automation, or AI-powered infrastructure workflows is a plus.