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Remote Hardware Reliability Engineer Jobs in Santa Clara, CA

Site Reliability Engineer

San Mateo, CA · On-site +1

$180K - $220K/yr

The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and ... We are looking for a hands-on Site Reliability Engineer to build, operate, and scale the cloud ...

Staff Site Reliability Engineer

San Mateo, CA · On-site +1

$200K - $285K/yr

The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and ... We are looking for a hands-on Staff Site Reliability Engineer to build, operate, and scale the ...

Staff Site Reliability Engineer

Mountain View, CA · On-site +1

$67.25 - $89.25/hr

Certain roles -- such as field-based sales or other remote-by-design positions -- may have ... Role Overview The Staff Site Reliability Engineer, Infrastructure role is building a high-scale ...

Remote Job Summary: Join our team as a Senior Database Reliability Engineer, where you'll play a central role in architecting, optimizing, and ensuring the stability of mission-critical PostgreSQL ...

New

Remote Job Summary: Join our team as a Senior Database Reliability Engineer, where you'll play a central role in architecting, optimizing, and ensuring the stability of mission-critical PostgreSQL ...

New

Remote Job Summary: Join our team as a Senior Database Reliability Engineer, where you'll play a central role in architecting, optimizing, and ensuring the stability of mission-critical PostgreSQL ...

New

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Showing results 1-20

Remote Hardware Reliability Engineer information

See Santa Clara, CA salary details

$71.6K

$138.6K

$165.6K

How much do remote hardware reliability engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote hardware reliability engineer in Santa Clara, CA is $138,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,400.00 and $151,500.00 per year, depending on experience, location, and employer.

What is a remote hardware reliability engineer?

A Remote Hardware Reliability Engineer is a professional who assesses, tests, and improves the reliability and durability of hardware components and systems, all while working remotely. They analyze failure data, design tests, and recommend modifications to ensure products meet quality and performance standards. This role often involves collaborating with engineering teams using digital communication tools, running simulations, and reviewing data to prevent future hardware failures. By working remotely, these engineers can support projects from anywhere, offering flexibility while maintaining high standards for hardware reliability.

What are the key skills and qualifications needed to thrive as a remote hardware reliability engineer?

To thrive as a Remote Hardware Reliability Engineer, you typically need a degree in electrical or mechanical engineering, strong analytical skills, and experience with hardware testing and failure analysis. Familiarity with reliability testing tools like HALT/HASS, statistical analysis software, and reliability modeling systems is important, along with certifications such as CRE (Certified Reliability Engineer). Outstanding problem-solving abilities, attention to detail, and effective remote communication are crucial soft skills for collaborating with global teams and addressing issues proactively. These competencies ensure the development and maintenance of robust, reliable hardware products, minimizing failures and optimizing performance in diverse environments.

How does a remote hardware reliability engineer collaborate effectively with cross-functional teams while working offsite?

As a Remote Hardware Reliability Engineer, effective collaboration with cross-functional teams—such as design, manufacturing, and quality assurance—is typically achieved through regular virtual meetings, collaborative platforms, and detailed documentation. You’ll often participate in remote design reviews, data analysis sessions, and troubleshooting calls to address reliability concerns. Clear communication and proactive project updates are essential to ensure everyone is aligned, especially when working across different time zones or locations. Building strong relationships with team members via consistent online interaction helps maintain project momentum and ensures reliability standards are met.

What is the difference between Remote Hardware Reliability Engineer vs Remote Hardware Test Engineer?

AspectRemote Hardware Reliability EngineerRemote Hardware Test Engineer
CredentialsEngineering degree, certifications in reliability or hardware engineeringEngineering degree, certifications in testing or quality assurance
Work EnvironmentDesigning reliability strategies, analyzing failure data, improving hardware durabilityDeveloping and executing testing procedures, validating hardware performance
Industry UsageManufacturers, tech companies, aerospace, automotiveManufacturers, consumer electronics, hardware development firms

While both roles focus on hardware, the Remote Hardware Reliability Engineer emphasizes ensuring long-term durability and reliability through analysis and design improvements. In contrast, the Remote Hardware Test Engineer concentrates on testing hardware components to verify performance and quality before deployment.

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

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

What job categories do people searching Remote Hardware Reliability Engineer jobs in Santa Clara, CA look for?

The top searched job categories for Remote Hardware Reliability Engineer jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Remote Hardware Reliability Engineer jobs?

Cities near Santa Clara, CA with the most Remote Hardware Reliability Engineer job openings:

Site Reliability Engineering(SRE) - Remote

YO AI Labs

Palo Alto, CA • Remote

$30 - $80/hr

Full-time

Posted 9 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.