Performance Engineer 5/6

Netflix • Los Gatos, CA

2d

About The Position

We are looking for a highly experienced Performance Engineer to join our team, focusing on the critical area of GPU infrastructure efficiency and the optimization of large-scale AI/ML workloads. This role is essential to managing our rapidly growing computational footprint, ensuring we deliver maximum performance while optimizing cost and resource utilization. You will be a trusted expert, working at the intersection of infrastructure, ML platforms, and core engineering to drive meaningful impact across the organization.

Requirements

• 10+ years of experience in systems performance analysis and optimization with a focus on large-scale distributed systems.
• Deep understanding of GPU architecture, kernels, and ML frameworks.
• Experience in building and using CPU and GPU profiling and other performance analysis tools.
• Expertise in identifying and resolving performance bottlenecks within the AI/ML infrastructure and software stack.
• Experience with container orchestration platforms such as Kubernetes.
• Experience with performance analysis and optimization in a multi-tenant, cloud-native environment.
• Strong programming skills in languages such as Python and Java.

Nice To Haves

• Experience with large language model (LLM) serving and training optimization techniques.
• Understanding of Linux internals such as resource scheduling, memory management, and I/O for GPU-intensive workloads.
• Experience with the performance analysis of high-speed networking protocols and interconnect technologies, such as InfiniBand and NVLink.
• Experience with capacity engineering and cost optimization in a major public cloud environment.
• Proven track record of contributing to open-source performance tools or research in the field.

Responsibilities

• Drive efficiency and performance optimization across our large-scale infrastructure.
• Collaborate with ML Platform and Data Science teams to build and enhance comprehensive profiling, tracing, and observability capabilities for GPU workloads.
• Analyze and resolve complex performance bottlenecks across the entire stack, including hardware, drivers, OS, Kubernetes/scheduling, networking, storage, and application code.
• Evaluate and guide the adoption of new GPU architectures, interconnects, and cloud vendor services to maximize performance and cost efficiency within Netflix's AI/ML ecosystem.
• Share knowledge by documenting best practices, contributing to Netflix Tech Blogs, and presenting at industry and vendor forums.

Benefits

• Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits.
• We also offer paid leave of absence programs.
• Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off.
• Full-time salaried employees are immediately entitled to flexible time off.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees