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Added 4 mins ago
Solar Winds Engineer with a Top Secret Clearance
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We are seeking an experienced SolarWinds Engineer to support a mission-critical government customer by designing, implementing, administering, and optimizing enterprise network and…
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TSMC

Principal Software Engineer Manager (AI Infrastructure) - North America Software Center

Vancouver, WA, United States

$166,800 to $223,050 USD / year

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Job details

Pay: $166,800 to $223,050 USD / year
Posting language: English
Posted: Oct 30, 2026

Original job description

Join TSMC Washington and help power the future of global technology. At TSMC, we don't just manufacture semiconductors - we innovate to transform industries and enhance lives worldwide. As the world’s leading dedicated semiconductor foundry, we partner with the world's most innovative tech companies to drive breakthroughs across high-performance computing, automotive, AI, consumer electronics, and green energy.

At the North America Software Center, you will thrive in an environment where cutting-edge software engineering meets advanced precision manufacturing. Explore career opportunities with TSMC and join an elite engineering

Who We're Looking For:

The North America Software Center builds next-generation AI infrastructure, hybrid cloud platforms, data engineering ecosystems, and developer platforms supporting thousands of engineers and high-volume manufacturing facilities worldwide.

We are seeking an experienced and visionary Principal Software Engineer Manager (AI Infrastructure) to build and lead a high-performing engineering team dedicated to defining and delivering TSMC's Enterprise AI Infrastructure Platform.

In this dual-impact leadership role, you will combine deep technical expertise in distributed systems and AI platforms with strong people leadership. You will architect scalable, high-throughput AI infrastructure (supporting both internal and external foundation models) while mentoring top engineering talent and collaborating closely with engineering teams across North America and Taiwan.

Key Responsibilities:

People Leadership & Team Development. Hire, lead, and develop a world-class team of AI infrastructure and distributed systems engineers. Foster a culture of technical excellence, continuous learning, innovation, and psychological safety. Set quarterly engineering roadmaps, establish agile delivery standards, and ensure high operational reliability.
Define AI Platform Architecture. 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.
AI Platform Engineering: Drive engineering best practices for: Kubernetes, Platform-as-a-Service, AI deployment automation.
Technical Leadership: Define technical strategy across multiple engineering teams. Lead architecture reviews. Mentor senior engineers. Driving engineering excellence. Influence technical decisions across North America and Taiwan. Partner with product managers, architects, and engineering leaders to define long-term roadmaps.

Minimum Requirements:

BS/MS/PhD in Computer Science or related field.
12+ years of software engineering experience.
5+ years leading architecture for distributed systems or cloud infrastructure.
3+ years hands-on experience designing enterprise AI platforms.
3+ years of formal people management experience (managing teams of senior/staff engineers).
Strong technical communication skills for collaborating with global cross-functional teams.

Required Technical Experience:

AI Infrastructure, strong experience with:

LLM inference
Enterprise AI Gateway
AI serving infrastructure
GPU scheduling
Multi-model AI architecture
Model lifecycle management

Experience with technologies such as:

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

Cloud Native Infrastructure Deep expertise with:

Kubernetes
Docker
Helm
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

Eligibility:

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 base salary typically ranges between $166,800 and $223,050 per year. The full base salary range for this Job Grade extends from $166,800 - $241,800 depending 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.

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.

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More about this job

Skills

Data engineering
Leadership
Coaching
Team building
Scheduling
Implement ICT recovery system
Kubernetes
Computer science
Team leadership
Communication skills
Kubeflow
Mlflow
Docker
AWS
Microsoft Azure
Google Cloud
Go
Python
API development
Microservices
Regulatory compliance

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