Senior Performance Optimization Engineer

1 week ago

Santa Clara, California, United States NVIDIA Full time
About the Role

We are seeking a highly skilled performance engineer to join our AI Applications organization at NVIDIA. As a performance engineer, you will work closely with our application teams to optimize the performance of our distributed cloud native accelerated video analytics applications.

Key Responsibilities
  • Plan, enable, and drive performance initiatives across our Cloud Native application teams
  • Review, develop, deploy, and manage tools and strategies to systematically run performance experiments
  • Collect and organize performance data and share with key partners
  • Work closely with application teams to understand application resource utilization characteristics and identify performance issues through profiling
  • Learn and have a good understanding of various accelerators in the system for an application workload and recommend E2E performance optimizations relative to capabilities of the system
  • Assist developers and product teams on best accelerators and systems for E2E system performance
  • Improve and standardize performance measurement processes across our applications and GPU systems
  • Work closely with GPU cloud native teams at NVIDIA to deploy the latest and most optimal GPU resource sharing strategies for our applications in a Kubernetes environment
Requirements
  • Masters degree or PhD in Computer Science or a related field, or equivalent experience
  • 15+ years of experience in optimizing system design, complexity analysis, software design in Unix/Linux systems, performance, and application issues
  • Experience in real-time streaming AI inference systems
  • A history of working on distributed accelerated systems and solving sophisticated performance problems
  • Deep hands-on experience with Distributed systems based on Kubernetes
  • Experience with on-prem and cloud systems and ability to work with partners across multiple teams
  • Experience using and handling and optimizing modern Cloud and container-based Enterprise computing architectures
  • Strong verbal and written communication and teamwork skills
  • Ability to multitask effectively in a multifaceted environment and action-driven with strong analytical skills
Preferred Qualifications
  • Background with real-time computer vision AI inference and/or Analytics platforms
  • Experience in application issues, algorithms, and data structures
  • Understanding of the functioning of AI services, deep learning, and AI
  • Exposure to scheduling and resource management systems
  • Knowledge of GPU programming such as OpenCL or CUDA and knowledge of Multi-node GPU setups, GPU clusters, or Cloud computing
About NVIDIA

NVIDIA is a leader in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. Our work opens new universes to explore, enables outstanding creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. We are looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence.

What We Offer
  • Base salary range: $272,000 USD - $419,750 USD
  • Eligibility for equity and benefits

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

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