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

at TSMC

Back to all Data Science / AI / ML jobs
TSMC logo
Industry not specified

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

at TSMC

Tech LeadNo visa sponsorshipData Science/AI/ML

Posted 21 hours ago

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Compensation
Not specified

Currency: Not specified

City
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Country
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**Principal Software Engineering (AI Infrastructure) Role in North America Software Center** Lead cloud-native development, optimize AI/ML infrastructure. Key responsibilities include: designing, implementing, and maintaining scalable AI/ML frameworks (TensorFlow, PyTorch), managing Kubernetes and Docker containers, optimizing GPU usage, and collaborating with cross-functional teams. Essential skills: Proficiency in Python, C++, familiarity with cloud platforms (AWS, GCP, Azure), expertise in CI/CD pipelines, and AI/ML workflows. Requirements: Bachelor's degree in Computer Science or related field, 10+ years of experience in relevant domain, and proven track record in AI/ML infrastructure.

No additional description provided.

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

at TSMC

Back to all Data Science / AI / ML jobs
TSMC logo
Industry not specified

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

at TSMC

Tech LeadNo visa sponsorshipData Science/AI/ML

Posted 21 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

**Principal Software Engineering (AI Infrastructure) Role in North America Software Center** Lead cloud-native development, optimize AI/ML infrastructure. Key responsibilities include: designing, implementing, and maintaining scalable AI/ML frameworks (TensorFlow, PyTorch), managing Kubernetes and Docker containers, optimizing GPU usage, and collaborating with cross-functional teams. Essential skills: Proficiency in Python, C++, familiarity with cloud platforms (AWS, GCP, Azure), expertise in CI/CD pipelines, and AI/ML workflows. Requirements: Bachelor's degree in Computer Science or related field, 10+ years of experience in relevant domain, and proven track record in AI/ML infrastructure.

No additional description provided.

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