Senior Systems Software Engineer, AI Infrastructure

Why consider this job opportunity

• Base salary range of $152,000 - $287,500, depending on level and experience.
• Eligibility for equity and comprehensive benefits package.
• Opportunity for career advancement and growth within a leading technology company.
• Work in a diverse and supportive environment that values innovation and creativity.
• Chance to contribute to groundbreaking AI Infrastructure projects that shape the future of computing.

• Develop and maintain large-scale systems for AI Infrastructure, ensuring reliability, operability, and scalability.
• Collaborate on tooling for HPC, GPU Training, and AI Model training workflows.
• Build tools and frameworks to enhance observability and improve system performance.
• Implement SRE fundamentals, including incident management and performance optimization.
• Work with engineering teams to deliver innovative solutions and uphold high standards for code and infrastructure.

• Degree in Computer Science or related field, or equivalent experience with 5+ 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, Azure, GCP, or OCI).
• 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, Tensor Flow, JAX, and Ray.
• Strong background in cloud or hardware health monitoring and system reliability.
• Hands‑on expertise in operating and scaling distributed systems with stringent SLAs.
• Knowledge of incident, change, and problem management processes.

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