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Remote Semiconductor Device Engineer Jobs (NOW HIRING)

Ironrod Health

Cardiac Device Specialist (Remote)

$70K - $90K/yr

Familiar in the use of Abbott/St Jude, Medtronic, Boston Scientific, Biotronik and ELA/MicroPort programmers * Management of remote device checks, alerts and patient enrollment, equipment requests ...

Rhythm

Remote Device Clinician - Contractor

$55K - $73K/yr

A Rhythm Remote Device Clinician remotely monitors patients with cardiac implantable electronic ... This specialist employs knowledge of cardiac electrophysiology and biomedical engineering concepts ...

Rhythm

Remote Device Clinician - Full-Time

$55K - $73K/yr

A Rhythm Remote Device Clinician remotely monitors patients with cardiac implantable electronic ... This specialist employs knowledge of cardiac electrophysiology and biomedical engineering concepts ...

skywater

Semiconductor Technical Writer

Minneapolis, MN · On-site +1

This role could be hybrid or remote potentially. Major Areas of Accountability: * Produce high ... engineering Experience and/or Training: * 5+ years of technical writing and editing experience in ...

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How much do remote semiconductor device engineer jobs pay per year?

As of Jun 7, 2026, the average yearly pay for remote semiconductor device engineer in the United States is $83,291.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,500.00 and $108,000.00 per year, depending on experience, location, and employer.

What is a Remote Semiconductor Device Engineer?

A Remote Semiconductor Device Engineer is a professional who designs, develops, and analyzes semiconductor devices such as transistors, diodes, and integrated circuits, while working from a remote location. They use specialized software and simulation tools to test device performance, troubleshoot issues, and collaborate with engineering teams virtually. This role requires strong knowledge of semiconductor physics, materials, and fabrication processes, and is often found in industries like electronics, telecommunications, and computing.

What is the difference between Remote Semiconductor Device Engineer vs Remote Electronics Design Engineer?

AspectRemote Semiconductor Device EngineerRemote Electronics Design Engineer
Required CredentialsBachelor's/Master's in Electrical Engineering, Semiconductor PhysicsBachelor's/Master's in Electrical/Electronic Engineering
Work EnvironmentResearch labs, manufacturing firms, tech companiesProduct development, consumer electronics, industrial equipment
Industry UsageSemiconductor manufacturing, integrated circuit designConsumer electronics, industrial systems, IoT devices
Common Search IntentFocus on semiconductor devices, fabrication, testingFocus on electronic circuit design, prototyping

The Remote Semiconductor Device Engineer specializes in designing and testing semiconductor components used in integrated circuits, often working closely with fabrication processes. In contrast, the Remote Electronics Design Engineer focuses on creating electronic circuits and systems for various applications. While both roles require electrical engineering credentials and involve remote work, their core responsibilities and industry focus differ significantly.

What are the key skills and qualifications needed to thrive as a Remote Semiconductor Device Engineer, and why are they important?

A Remote Semiconductor Device Engineer requires a solid background in electrical engineering or physics, experience in device fabrication, and a thorough understanding of semiconductor physics, typically backed by a relevant degree. Proficiency with simulation tools such as TCAD, programming languages like Python or MATLAB, and experience with CAD systems are commonly expected, along with familiarity with remote collaboration platforms. Strong analytical thinking, communication, and self-motivation are essential soft skills for effectively managing complex projects and collaborating with distributed teams. Mastering these skills ensures high-quality device design, efficient teamwork, and the ability to innovate in a rapidly evolving, remote work environment.

How does a Remote Semiconductor Device Engineer typically collaborate with cross-functional teams despite working offsite?

Remote Semiconductor Device Engineers frequently collaborate with diverse teams such as design, fabrication, and testing through digital tools like video conferencing, shared simulation platforms, and project management software. Regular virtual meetings, clear documentation, and version-controlled repositories ensure alignment and smooth information flow. While remote work offers flexibility, it also demands proactive communication and self-discipline to keep up with rapid project developments. Building strong online relationships and participating in virtual brainstorming sessions are key to overcoming the challenges of limited in-person interaction.
More about Remote Semiconductor Device Engineer jobs
What cities are hiring for Remote Semiconductor Device Engineer jobs? Cities with the most Remote Semiconductor Device Engineer job openings:
What are the most commonly searched types of Semiconductor Device Engineer jobs? The most popular types of Semiconductor Device Engineer jobs are:
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What job categories do people searching Remote Semiconductor Device Engineer jobs look for? The top searched job categories for Remote Semiconductor Device Engineer jobs are:
Remote Semiconductor Device Engineer jobs near you
Infographic showing various Remote Semiconductor Device Engineer job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $83,291 per year, or $40 per hour.

Senior Site Reliability Engineer (Remote USA)

TechInsights

Denver, CO • On-site, Remote

$149K - $157K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 hours ago

Job description

OUR STORY
TechInsights is the information Platform for the semiconductor industry.
Regarded as the most trusted source of actionable, in-depth intelligence related to semiconductor innovation and surrounding markets, TechInsights' content informs decision makers and professionals whose success depends on accurate knowledge of the semiconductor industry-past, present, or future.
Over 650 companies and 150,000 users access the TechInsights Platform, the world's largest vertically integrated collection of unmatched reverse engineering, teardown, and market analysis in the semiconductor industry. This collection includes detailed circuit analysis, imagery, semiconductor process flows, device teardowns, illustrations, costing and pricing information, forecasts, market analysis, and expert commentary. TechInsights' customers include the most successful technology companies who rely on TechInsights' analysis to make informed business, design, and product decisions faster and with greater confidence. For more information, visit www.techinsights.com.
WHY WORK WITH US
  • Company-sponsored training and development opportunities
  • Comprehensive benefits package (health, dental, vision, wellness, 401K Matching, annual fitness reimbursement)
  • Flexible vacation policy
  • Community involvement opportunities through charitable alliances: https://www.techinsights.com/community-involvement
  • Wellness resources and support
  • Inclusive environment that prioritizes diversity, equity, and accessibility
  • High-growth company driven by high performance
  • Expected salary range: $149,100 - $157,800 USD

THE OPPORTUNITY:
TechInsights is building the reliability and AI operations foundation for its next chapter - an AI-first intelligence platform that runs the most demanding semiconductor intelligence workflows in the world. We're looking for a Senior Site Reliability Engineer who wants to own that foundation.
This is a senior individual contributor role at the technical leadership tier of our Site Reliability Engineering team. You'll own strategic reliability initiatives end-to-end: setting technical direction, defining SLOs and error budgets across our production platform, designing reliability patterns for the AI agent pipelines that power our platform's AI-first capabilities, and enabling our development and AI Engineering teams to build and ship with confidence.
What sets this role apart is its scope. You're not just keeping the lights on - you're building the observability, Internal Developer Platform (IDP), and service catalog that a fast-scaling AI platform needs from day one. You'll be the reliability voice in architectural decisions, the engineer who closes the loop between agent failure modes and platform resilience, and the mentor who builds the team's capability rather than their own indispensability.
If you have deep SRE experience and want to apply it to AI workloads - agent loop observability, blast radius management, LLM infrastructure reliability - this is the role where that expertise becomes a differentiator.
This role is a remote role for candidates based in the United States.
WHAT YOU'LL DO
Platform Reliability & AI Operations
  • Own SLOs, SLIs, and error budgets for all production services; drive error budget discipline across engineering
  • Design reliability patterns for AI agent pipelines: LLM observability, tool-use tracking, failure detection, and graceful degradation
  • Architect for blast radius containment - agent failures must have bounded customer impact through isolation, circuit breaking, and rapid recovery
  • Mature our Canada Central/West active-active architecture toward 24-hour RTO with full regional failover
  • Lead incident response and post-incident reviews that produce durable fixes; maintain DR procedures through regular testing
Developer & AI Engineering Enablement
  • Serve as the primary reliability liaison to Software and AI Engineering, translating requirements into actionable standards
  • Partner with AI Engineering on compute provisioning, model serving, inference latency, and workload isolation
  • Own CI/CD pipeline strategy (Bitbucket Pipelines, GitHub Actions) - set standards, optimize deployment frequency, and ensure teams can ship confidently
  • Drive IDP adoption and enable teams on SRE practices: on-call readiness, SLO definition, runbook development, and self-service tooling
  • Represent reliability in architectural discussions; surface risk before it's committed to design
Observability, IDP & Service Catalog
  • Own the service catalog - a living inventory of all services, AI agents, dependencies, ownership, and SLOs
  • Operate Datadog as the single pane of glass for service health, infrastructure, and agentic pipeline telemetry
  • Extend observability to AI workloads: LLM latency, token consumption, agent completion rates, and pipeline throughput
  • Build golden path templates in Backstage and/or Atlassian Compass so teams ship reliably without routine SRE involvement
  • Apply AIOps in Datadog to automate anomaly detection, incident triage, and remediation recommendations
FinOps, IaC & Continuous Improvement
  • Own infrastructure as code via Terraform and GitOps; enforce IaC policy in partnership with Trust Assurance
  • Own FinOps visibility into AWS cost segments; model cloud cost impact as AI/ML workloads scale
  • Formally mentor junior and intermediate SRE engineers, with accountability for their technical growth and career progression
  • Build AI-assisted automation to progressively reduce toil and scale the team's operational capacity

WHAT YOU'LL BRING
Technical Requirements
  • Bachelor's degree in Computer Science, Engineering, or equivalent combination of education and experience
  • 6-8 years of progressive experience in site reliability engineering, platform engineering, or DevOps, with demonstrated technical leadership at the senior individual contributor level
  • Deep expertise in AWS (EKS, Lambda, CloudWatch, AWS Config) and multi-region architecture patterns
  • Proficiency with Terraform and GitOps; experience with policy-as-code (Sentinel, OPA/Rego, or equivalent)
  • Hands-on Datadog experience at operational depth: dashboards, SLO tracking, alerting, log management, distributed tracing
  • Strong containerization expertise: Docker, Kubernetes (EKS preferred)
  • Proficiency in Python and/or Bash; experience building operational tooling; solid understanding of Java and Spring Boot microservice architecture sufficient to make reliability and deployment decisions for EKS-hosted services
  • Deep expertise in CI/CD pipeline design and optimization using Bitbucket Pipelines and GitHub Actions
  • Familiarity with IDP tooling (Backstage, Atlassian Compass, or equivalent) strongly preferred
  • Experience with AI/ML workload infrastructure, LLM API integration, or agentic system operations considered a strong asset
Professional Skills
  • Leads and owns strategic reliability initiatives end-to-end with a high degree of autonomy; accountable for outcomes, not just tasks
  • Sets technical direction and influences team and department strategy
  • Solves complex, ambiguous reliability problems through systematic analysis and first-principles thinking
  • Formally mentors junior and intermediate engineers; builds team capability through coaching and knowledge transfer
  • Communicates technical reliability concepts clearly to engineering, product, and leadership audiences
  • Approaches operational work with an AI-first posture: builds automation and intelligent tooling as the default
Preferred Qualifications
  • Experience designing reliability architecture for agentic AI systems: agent loop observability, blast radius isolation, graceful degradation for LLM-dependent services
  • AWS certifications: Solutions Architect Professional, DevOps Engineer Professional, or equivalent
  • FinOps Certified Practitioner or demonstrated cloud cost management experience at scale
  • IDP implementation or developer experience program leadership
  • Experience in semiconductor, SaaS, or data-intensive platform environments
  • Experience operating in environments with export-controlled or regulated data
  • Knowledge of BCP/DR program management and formal recovery testing

As part of the recruitment process for this position, you will be required to submit your latest citizenship and/or permanent residency information. This information will be used to comply with U.S. Export Control Laws and Regulations.
WORKING ARRANGEMENT
This is a remote position for candidates based in the United States. Occasional travel may be required.
Technology knows no bounds, and neither does TechInsights. Bringing together talented humans from different perspectives, backgrounds and abilities is something we take seriously. We're committed to building an inclusive environment that welcomes you to be your authentic self and allows us to push past the boundaries together.
TechInsights is committed to meeting the needs of people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.
AI technology may be used to assist in the screening and assessment of applications for this position. Our recruiters are involved at every stage, and all hiring decisions are made by People and hiring teams.
As part of any recruitment process, TechInsights collects and processes personal data relating to job applicants. We are committed to being transparent about how we collect and use that data and to meeting our data protection obligations. Our Privacy policy can be referenced here: https://www.techinsights.com/privacy-policy

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