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Remote Rf Drive Test Engineer Jobs in Santa Clara, CA

... SRE, and platform engineering. You will test AI-generated commands, configurations, and workflows ... Assess AI agents and workplace connectors across tools such as Slack, Google Drive, and Microsoft ...

... SRE, and platform engineering. You will test AI-generated commands, configurations, and workflows ... Assess AI agents and workplace connectors across tools such as Slack, Google Drive, and Microsoft ...

Test and validate AI-assisted workflows across DevOps, cloud, infrastructure, and platform ... Assess AI agents and workplace connectors across tools such as Slack, Google Drive, and Microsoft ...

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Remote Software Engineer - Technical Advisor $150.00 USD/hour | 100% Remote (USA Only) | Mostly ... Designing container-based (Docker) technical benchmarks to test AI models * Writing clear, original ...

Test and validate AI-assisted workflows across DevOps, cloud, infrastructure, and platform ... Assess AI agents and workplace connectors across tools such as Slack, Google Drive, and Microsoft ...

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Remote Rf Drive Test Engineer information

See Santa Clara, CA salary details

$51.7K

$148K

$241.9K

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

As of Sep 11, 2026, the average yearly pay for remote rf drive 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 Drive Test Engineer vs Rf Drive Test Engineer?

AspectRemote Rf Drive Test EngineerRf Drive Test Engineer
Work EnvironmentPerforms tests remotely, often using specialized software and virtual toolsConducts on-site drive tests using vehicles and physical equipment
CertificationsTypically requires RF certifications and remote testing experienceRequires RF certifications and hands-on testing skills
Industry UsageUsed in scenarios where physical presence is limited or impracticalCommon in traditional network testing and coverage verification

The main difference between Remote Rf Drive Test Engineer and Rf Drive Test Engineer lies in the testing environment. Remote engineers perform tests virtually, while traditional engineers conduct on-site drive tests. Both roles require RF certifications, but remote roles emphasize virtual tools and software. Understanding these differences helps employers and candidates choose the right position based on work setting and technical requirements.

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

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

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

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

What job categories do people searching Remote Rf Drive Test Engineer jobs in Santa Clara, CA look for?

The top searched job categories for Remote Rf Drive Test Engineer jobs in Santa Clara, CA are:

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

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

Infographic showing various Remote Rf Drive Test Engineer job openings in Santa Clara, CA as of August 2026, with employment types broken down into 72% Full Time, 4% Part Time, 2% Temporary, and 22% Contract. Highlights an 100% Remote job distribution, with an average salary of $148,037 per year, or $71.2 per hour.

Site Reliability Engineering(SRE) - Remote

Palo Alto, CA • Remote

$30 - $80/hr

Full-time

Posted 16 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.