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Remote Hardware Reliability Engineer Jobs in Chicago, IL

SDI International

Senior Site Reliability Engineer

Chicago, IL · On-site +1

$58.75 - $78/hr

Open to remote work in the US. The preferred work location is Chicago, IL. What You Might Work On As a Senior SRE, you may be responsible for a subset of the following, depending on team placement ...

Origami Risk LLC

Site Reliability Engineer

Chicago, IL · On-site +1

$100K - $120K/yr

Overview The Site Reliability Engineer is a key force behind improving Origami's time to resolution ... All full-time positions are hybrid, with many eligible to be completely remote * Fully Paid by ...

The Hartford

Principal AI Engineer - Agent Ops / SRE

Chicago, IL · On-site +1

$58.75 - $78/hr

The Hartford's applied AI COE Team is seeking a Principal AI Engineer - Agent Ops/SRE . The AI-COE ... This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office ...

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Flywire

Site Reliability Engineering Manager II

Chicago, IL · On-site +1

$58.75 - $78/hr

At Flywire, the SRE team is responsible for the lifecycle of production systems. Our team is ... Our engineering team is distributed across 3 continents and 4 different countries so remote work is ...

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Remote Hardware Reliability Engineer information

See Chicago, IL salary details

$62.8K

$121.5K

$145.3K

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

As of Jun 14, 2026, the average yearly pay for remote hardware reliability engineer in Chicago, IL is $121,529.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,600.00 and $132,900.00 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 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 the key skills and qualifications needed to thrive as a Remote Hardware Reliability Engineer, and why are they important?

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 are the most commonly searched types of Hardware Reliability Engineer jobs in Chicago, IL? The most popular types of Hardware Reliability Engineer jobs in Chicago, IL are:
What are popular job titles related to Remote Hardware Reliability Engineer jobs in Chicago, IL? For Remote Hardware Reliability Engineer jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Remote Hardware Reliability Engineer jobs in Chicago, IL look for? The top searched job categories for Remote Hardware Reliability Engineer jobs in Chicago, IL are:
Remote Hardware Reliability Engineer jobs near you
Senior Site Reliability Engineer

Senior Site Reliability Engineer

SDI International

Chicago, IL • On-site, Remote

$58.75 - $78/hr

Other

Posted 14 days ago

Job description

No H1 or C2C. Must be Permanent Resident or US Citizen


Senior Site Reliability Engineer


Description and Requirements

About Our Team

We are building Quantum, a next‑generation hybrid AI platform that spans Windows, Android, and cloud. As part of this vision, we are expanding the reliability engineering organization that powers cross‑device Personal AI.

We are looking for Senior Site Reliability Engineers (SREs) to help us build and evolve the foundational reliability, observability, and operations capabilities that ensure fast, safe, and dependable for millions of users.

This role may support one of several teams within the SRE organization (e.g., Observability, Operations, or Service Reliability), depending on your strengths and interests.

Operating with the speed, ownership, and creative latitude of a startup—yet supported by the scale, resources, and technical depth. We are building new systems, new tooling, and new operational models from the ground up, and we are doing so with clarity, intention, and high engineering standards.




Location: Open to remote work in the US. The preferred work location is Chicago, IL.


What You Might Work On

As a Senior SRE, you may be responsible for a subset of the following, depending on team placement and skill alignment:

Reliability & Performance Engineering

  • Improving the availability, scalability, and performance of distributed systems across device, edge, and cloud.
  • Defining or refining SLIs, SLOs, and error budgets for critical services.
  • Leading initiatives to remove single points of failure, improve resilience, and reduce operational risk.

Operational Excellence

  • Participating in on‑call rotations and contributing to incident response, triage, and post-incident reviews.
  • Developing automation, runbooks, and self‑healing systems to reduce alert noise and MTTR.
  • Enhancing operational readiness and supporting incident prevention programs.

Observability & Insight

  • Designing or improving observability systems using OpenTelemetry, Grafana, and modern signal pipelines.
  • Building dashboards, analytics, and alerting that illuminate system health and AI service behavior.
  • Ensuring telemetry is reliable, actionable, and tied to real‑world outcomes.

Deployments & Change Safety

  • Improving reliability of CI/CD workflows, including phased rollouts, canaries, shadow testing, and safe rollback mechanisms.
  • Contributing to the evolution of deployment tooling for device+edge+cloud hybrid systems.

Systems Design & Collaboration

  • Influencing architectural decisions by injecting reliability, observability, and operational considerations early in design.
  • Collaborating with AI/ML engineers, platform engineers, firmware teams, and product partners to deliver robust, dependable user experiences.


Basic Qualifications

  • 10+ years of experience in Site Reliability Engineering, Production Engineering, DevOps, or large‑scale distributed systems operations
  • Bachelor’s Degree in Computer Science, Engineering, or a related technical discipline
  • Strong experience running production distributed systems at scale
  • Proficiency in at least one modern programming language (e.g., Python, Go, Java, C++)
  • Strong understanding of Linux systems, networking fundamentals, and system performance tuning
  • Experience with monitoring/observability (metrics, logs, tracing)
  • Hands‑on experience with cloud environments (Azure, AWS, or GCP)
  • Experience in incident management, on‑call rotations, and postmortem processes


Preferred Qualifications

  • Deep experience with Azure cloud services
  • Experience with OpenTelemetry for end‑to‑end instrumentation
  • Strong familiarity with Grafana, Prometheus, Loki, Tempo, or similar tools
  • Experience supporting AI/ML systems, model serving, or data‑intensive workloads
  • Background with hybrid architectures (device + edge + cloud)
  • Experience improving deployment reliability and progressive delivery systems
  • Passion for automation, reliability engineering, and reducing operational friction


What Success Looks Like

  • Systems become more observable, reliable, and predictable.
  • Incidents are resolved quickly, and follow‑up improvements prevent recurrence.
  • Alerting becomes more accurate, actionable, and trusted.
  • Deployments become safer and more consistent.
  • Teams move faster because reliability foundations are strong and intuitive.

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