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Remote Failure Analysis Engineer Jobs in San Rafael, CA

GPU Programmer - Remote Job Type: Contractor Location: Remote Job Overview We are seeking ... Analyze performance bottlenecks and implement optimization strategies. Required Qualifications

GPU Programmer - Remote Job Type: Contractor Location: Remote Job Overview We are seeking ... Analyze performance bottlenecks and implement optimization strategies. Required Qualifications

Systems Engineer

San Francisco, CA · On-site +1

$100K - $200K/yr

... failure modes. ● Implement and maintain software libraries and device drivers for new sensor ... remote diagnostics in deployed environments. ● Experience working with embedded Linux build ...

DWR Project Engineer

Oakland, CA · On-site +1

$36.06 - $55.76/hr

Dam Safety Risk Assessment, Potential Failure Mode Analyses and Level 2 Risk Assessment * FERC ... Remote working is possible after an initial period. Assignments are typically 1-2 years, after ...

Remote Software Engineer (USA Only) | $60 - $80 per hour Are you a software engineer who thrives in ... in a remote environment. * Excellent problem-solving skills and a strong analytical mindset.

Showing results 41-60

Remote Failure Analysis Engineer information

See San Rafael, CA salary details

$50.7K

$103.9K

$151K

How much do remote failure analysis engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for remote failure analysis engineer in San Rafael, CA is $103,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,000.00 and $131,500.00 per year, depending on experience, location, and employer.

What is the difference between Remote Failure Analysis Engineer vs Remote Quality Engineer?

AspectRemote Failure Analysis EngineerRemote Quality Engineer
CredentialsBachelor's in Engineering, certifications in failure analysis or reliabilityBachelor's in Engineering, certifications in quality management or Six Sigma
Work EnvironmentLaboratory, technical analysis, remote troubleshootingProcess audits, quality control, remote data analysis
Industry UsageElectronics, manufacturing, aerospaceManufacturing, electronics, automotive
Search & Comparison IntentUnderstanding failure analysis roles, technical skillsQuality assurance, process improvement roles

The Remote Failure Analysis Engineer focuses on diagnosing product failures through technical analysis, often involving lab work and remote troubleshooting. In contrast, the Remote Quality Engineer emphasizes maintaining quality standards, process improvements, and data analysis. Both roles require engineering backgrounds and certifications but serve different functions within manufacturing and electronics industries.

Infographic showing various Remote Failure Analysis Engineer job openings in San Rafael, CA as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $103,868 per year, or $49.9 per hour.

Senior Software Engineer, Core Infrastructure

imgix

San Francisco, CA • Remote

$180K - $210K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 28 days ago


Job description

Imgix is a chief platform for real-time visual media management, optimization, and delivery services. Our innovative technology empowers businesses to deliver high-quality visual experiences to their customers across platforms and devices, anywhere in the world.

Imgix processes billions of image and video requests per day. Behind that is production software — and we need someone who's great at writing it.

We're hiring a Senior Software Engineer for our Core Infrastructure team. You'll write and ship production Python that powers our visual media rendering pipeline, caching layer, and delivery infrastructure. You'll own what you build: deploying it, monitoring it, debugging it when things go sideways, and improving it before they do.

This isn't a pure ops role. You'll spend most of your time writing code — but the code you write runs real systems at serious scale, so you'll need to think about failure modes, cost, and operational reality as you design. When things do break, we don't just remediate and move on — we dig into root cause and fix things so they don't recur. If you're a strong software engineer who wants to build things right and own them in production, this is the role.

What you’ll be doing:
  • Write and maintain production Python services that handle billions of daily requests, including our core rendering and delivery infrastructure.
  • Design systems with failure modes, cost, and performance in mind — then own them through deployment and beyond.
  • Build infrastructure tooling and automation (Terraform, CI/CD, Docker) that makes the whole team faster.
  • Collaborate across engineering on cloud cost optimization, balancing reliability and performance with real budget constraints.
  • Contribute to maintaining 99.99%+ uptime through monitoring, incident response, and on-call rotation.
  • Create clear documentation - operational references, design docs, alert guides - so the systems you build are understandable by the whole team.
What we’re looking for:
  • Strong Python developer. You write clean, maintainable production code — not scripts on the side of an ops role.
  • Cloud infrastructure experience. 5+ years working with a major cloud provider (GCP strongly preferred; AWS/Azure also considered), including multi-region deployments.
  • Infrastructure-as-code fluency. Terraform or OpenTofu experience. You define infrastructure in code and deploy it through CI/CD.
  • Linux fundamentals. Comfortable in the operating system your services run on.
  • Operational ownership mindset. You've been on-call, you've triaged production incidents by reading logs and metrics rather than following a script, and you've dug into root cause on your own.
  • Clear communicator. We're a fully remote team. Strong async written communication matters as much as technical skill.
Bonus Points:
  • Experience with CDNs, caching infrastructure, or visual media pipelines.
  • Familiarity with compliance frameworks such as GDPR and SOC 2.

Imgix is the leading platform for real-time visual media management, optimization, and delivery. Our technology powers high-quality visual experiences across platforms and devices worldwide — combining on-demand image and video processing with an intelligent, high-performance delivery network.

This role is benchmarked at $180,000–$210,000 base, determined by experience, skills, and qualifications. The listed range reflects base pay only and does not include bonus, equity, or benefits.

Imgix is a remote-first company with employees distributed globally. This role can be performed from anywhere, with the option to work from our San Francisco office if you're local. Full-time employees receive medical, dental, vision, 401(k), and paid leave — details shared during the interview process.

Imgix is an Equal Opportunity Employer.