Systems Software Engineer, AI InfrastructureNVIDIA • Myrtle Point, OR, US
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Systems Software Engineer, AI Infrastructure
NVIDIA • Myrtle Point, OR, US
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job_description.job_card.job_descriptionDevelop and maintain large-scale systems supporting critical use cases for AI Infrastructure Implement SRE fundamentals, including incident management, monitoring, and performance optimization Build tools and frameworks to improve observability and enable fast issue resolution Establish frameworks for operational maturity and lead sustainable incident response protocols Collaborate with engineering teams to deliver innovative solutions and mentor peers Degree in Computer Science or related field, or equivalent experience with 8+ years in Software Development, SRE, or Production Engineering Proficiency in Python and at least one other programming language (C / C++, Go, Perl, Ruby) Expertise in systems engineering within Linux or Windows environments and cloud platforms (AWS, OCI, Azure, GCP) Strong understanding of SRE principles, including error budgets, SLOs, SLAs, and Infrastructure as Code tools Hands-on experience with observability platforms and CI / CD systems Experience in AI training, inferencing, and data infrastructure services Proficiency in deep learning frameworks like PyTorch, TensorFlow, JAX, and Ray A strong background in hardware health monitoring and system reliability Expertise in operating and scaling distributed systems with stringent SLAs Proven experience in incident, change, and problem management processes
Overview
Employer Industry : Technology (AI and Computing)
Benefits
- Salary up to $356,500
- Eligibility for equity and comprehensive benefits
- Opportunity for career advancement and growth within a leading technology company
- Work in a diverse and inclusive environment that fosters creativity and innovation
- Chance to make a lasting impact on the future of AI and computing
Responsibilities
Qualifications
Preferred Qualifications
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Software Engineer Infrastructure • Myrtle Point, OR, US
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