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Semiconductor Reliability Engineer Jobs in Beaverton, OR

As a Semiconductor Device Modeling Engineer, you will be responsible for characterizing device ... Experience in test automation and RF/noise/reliability tests is a plus. * Understanding of Aging ...

Product Engineer 3

Tualatin, OR · On-site

$62.25/hr

Semiconductor Compensation: $62.25/ hour About the Opportunity: We're seeking an experienced ... Lead technical investigations that directly impact product quality, reliability, and performance.

Our breadth of offerings across the entire semiconductor value chain helps our customers solve ... Performance & Reliability Engineering * Establish system error budgets, performance models, and ...

... semiconductor reliability, debuggability, verification, validation, and silicon testing. Patent ... MS or PhD degree in computer engineering, electrical engineering, or equivalent experience. At ...

New

... semiconductor reliability, debuggability, verification, validation, and silicon testing. * Patent ... MS or PhD degree in computer engineering, electrical engineering, or equivalent experience. * At ...

New

Showing results 21-40

Semiconductor Reliability Engineer information

See Beaverton, OR salary details

$63.5K

$122.7K

$146.7K

How much do semiconductor reliability engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for semiconductor reliability engineer in Beaverton, OR is $122,746.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,600.00 and $134,200.00 per year, depending on experience, location, and employer.

What does a semiconductor reliability engineer do?

A Semiconductor Reliability Engineer ensures that semiconductor devices and components meet reliability and quality standards over their expected lifespan. They design stress tests, analyze failure mechanisms, and work on improvements to enhance product durability. Their role involves collaborating with design, manufacturing, and testing teams to identify potential weaknesses and implement solutions. By conducting reliability assessments and failure analysis, they help ensure product performance in various operating conditions.

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

To thrive as a Semiconductor Reliability Engineer, you need a strong background in materials science, semiconductor physics, and data analysis, usually supported by an engineering degree. Experience with reliability testing platforms, Failure Analysis tools (like SEM, TEM), and familiarity with industry standards such as JEDEC or ISO are typically required. Excellent problem-solving skills, attention to detail, and effective communication abilities set you apart in this role. These competencies are critical to ensuring product quality, identifying reliability risks, and delivering robust semiconductor devices in a highly collaborative, fast-paced environment.

What are the typical challenges faced by semiconductor reliability engineers in their day-to-day work?

Semiconductor Reliability Engineers often face challenges such as identifying the root causes of device failures, balancing tight project timelines, and keeping up with evolving industry standards and technologies. The role requires meticulous attention to experiment design and data interpretation, as even small errors can impact the reliability assessment of products. Collaboration with cross-functional teams—including design, process, and test engineering—is also a key aspect, ensuring reliability considerations are integrated throughout development. Staying adaptable and proactive helps overcome these challenges, making the work both dynamic and rewarding.

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For Semiconductor Reliability Engineer jobs in Beaverton, OR, the most frequently searched job titles are:

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Cities near Beaverton, OR with the most Semiconductor Reliability Engineer job openings:

Infographic showing various Semiconductor Reliability Engineer job openings in Beaverton, OR as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $122,746 per year, or $59 per hour.

Principal Software Engineering (AI Infrastructure) - North America Software Center

TSMC - Taiwan Semiconductor Manufacturing Company Limited

Vancouver, WA • On-site

$137 - $199/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


Key responsibilities

  • Define AI Platform Architecture and drive the technical strategy for enterprise AI infrastructure.

  • Design and build highly scalable AI infrastructure supporting model serving, inference, and platform automation.

  • Lead architecture development for high availability, multi-region deployment, disaster recovery, and distributed systems.


Job description

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Principal Software Engineering (AI Infrastructure) - North America Software Center

Join TSMC Washington and help power the future of technology. At TSMC, we don't just make semiconductors; we innovate to transform industries and enhance lives. As the world’s leading semiconductor foundry, we partner with top tech companies to drive advancements in industries such as healthcare, automotive, consumer electronics, and renewable energy. At TSMC Washington, you'll thrive where innovation meets precision manufacturing, and integrity guides our high standards and customer trust. Our visionary leaders collaborate with clients to achieve groundbreaking results, ensuring our leadership in the semiconductor sector. Explore career opportunities with TSMC Washington and join a company with a commitment to excellence and innovation.

Who We're Looking For:
We develop next-generation AI infrastructure, cloud platforms, data infrastructure, developer platforms, and site reliability engineering (SRE) capabilities supporting engineering teams and manufacturing facilities worldwide. As TSMC accelerates AI adoption across the enterprise, we are building enterprise-scale AI platforms that enable secure, scalable, and reliable AI services across global regions.

We are seeking a talented andexperienced AI Infrastructure Engineer to define and build TSMC's enterprise AI Infrastructure Platform.

You will design and lead enterprise-scale AI infrastructure that enables thousands of engineers across multiple global regions to securely develop, deploy, and operate AI applications using both internal and external foundation models.

You will collaborate with engineering teams in North America and Taiwan to build a highly scalable AI platform supporting model serving, inference, AI gateways, GPU infrastructure, observability, governance, and platform automation.

This role combines deep expertise in distributed systems, cloud infrastructure, AI platforms, and software architecture.

Key Responsibilities:

  • Define AI Platform Architecture.Lead the architecture and technical strategy for enterprise AI infrastructure. Drive long-term technical direction for: AI Platform, Enterprise AI Gateway, Multi-model inference platform, GPU infrastructure, AI governance, AI observability.
  • Build Enterprise AI Infrastructure:Design highly scalable platforms supporting LLM serving, GPU scheduling, Model routing, Model lifecycle management, RAG infrastructure, Vector databases, AI orchestration.
  • Design Distributed Systems:Lead architecture for high availability AI services, multi-region deployment, disaster recovery, service mesh, distributed caching, event-driven architecture, global load balancing.
  • BS/MS/PhD in Computer Science or related field.
  • 7+ years of software engineering experience.
  • 3+ years leading architecture for distributed systems or cloud infrastructure.
  • 1+ years’ experience as a Principal Engineer, Staff Engineer, Distinguished Engineer, or Technical Lead.
  • Strong technical communication skills for collaborating with global cross-functional teams.

Required Technical Experience:

AI Infrastructure, strong experience with:

  • LLM inference
  • AI serving infrastructure

Experience with technologies such as:

  • NVIDIA GPU ecosystem
  • vLLM
  • TensorRT-LLM
  • Triton Inference Server
  • Ray
  • MLflow

Cloud Native Infrastructure Deep expertise with:

  • Docker
  • ArgoCD
  • Service Mesh
  • AWS or Azure or GCP

Software Engineering

  • Strong programming skills in one or more of Go, Python, JAVA.
  • Experience with:
    • REST APIs
    • Microservices
    • SDKs

Applicants must have legal authorization to work in the United States. We currently cannot provide sponsorship or take over sponsorship of an employment visa. Employment at TSMC is contingent upon passing a background check and drug screening. In compliance with Washington state regulations, cannabis (marijuana) use will not be included in the drug screening.

Work Location & Schedule:

This position is based on-site at our Vancouver, Washington location during core business hours, Monday through Friday from 8 am to 5 pm. Additional hours may be required to meet project demands.

Compensation and Benefits:

  • At TSMC, your base pay is just one component of your comprehensive compensation package. For new hires in this position, the starting salary typically ranges between$137,300 and $183,650 per year. The full salary range for this Job Grade extends from$137,300 - $199,100depending on factors such as skills, qualifications, education, experience, tenure, and position level. TSMC’s total compensation package also includes market-competitive pay, profit sharing and incentive bonuses, and tuition assistance.
  • Comprehensive benefits include medical, dental, and vision insurance, life insurance, and access to a 401(k) plan with employer match.
  • Employees enjoy 12 holidays per year and accrue paid time off annually.
  • Onsite amenities include a fitness center, game room, physical therapist, and subsidized café.

If you have questions or want to learn more about our offered benefits, email recruitingwa@tsmc.com

EOE Statement:

TSMC Washington, LLC is committed to employing a diverse workforce and provides Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, or any other characteristic protected by applicable law.

TSMC is an equal opportunity employer prizing diversity and inclusion. We are committed to treating all employees and applicants for employment with respect and dignity. If you require reasonable accommodation due to a disability during the application or the recruiting process, please feel free to notify us at recruitingwa@tsmc.com. TSMC confirms to all applicants its commitment to meet TSMC’s obligations under applicable employment law.

TSMC Core Values
At TSMC, we invite talented individuals who share our vision and values to contribute to our continued success. Our core values are the foundation of our culture, guiding every decision and action. We seek applicants who deeply resonate with these principles and embody them in their work:

  • Integrity: Tell the truth. We do not brag. We do not make commitments lightly. Once we make a commitment, we devote ourselves completely to meeting that commitment.
  • Commitment: Employees are dedicated to the company, view the company’s success as their own and work diligently to make their best contributions. As commitment is mutual, the Company strives to serve the best interests of its employees.
  • Innovation: Innovation is the wellspring of the Company's growth. It means more than new ideas; it means putting ideas into practice.
  • Customer Trust: We strive to build deep and enduring relationships with our customers, who trust and rely on us to be part of their success over the long term.

(For more details on TSMC’s Core Values, please visit: https://www.tsmc.com/english/aboutTSMC/values)

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