Senior DGX Cloud AI Infrastructure Software Engineer
NVIDIA Ltd.
Santa Clara, United States of America
yesterday
Role details
Contract type
Permanent contract Employment type
Part-time (≤ 32 hours) Working hours
Regular working hours Languages
English Experience level
Senior Compensation
$ 288KJob location
Remote
Santa Clara, United States of America
Tech stack
API
Artificial Intelligence
C++
Cloud Computing
Data Centers
Software Debugging
Distributed Systems
Python
Remote Direct Memory Access
TensorFlow
Prometheus
Software Engineering
AI Infrastructure
Data Logging
PyTorch
AI Platforms
Script Language
Information Technology
Software Version Control
Job description
- Develop infrastructure software and tools for large-scale pre-training, post-training, and inference.
- Develop and optimize tools and libraries to improve infrastructure efficiency and resiliency.
- Co-design and implement APIs for integration with NVIDIA's resiliency stacks.
- Enhance infrastructure and products underpinning NVIDIA's AI platforms.
- Define meaningful and actionable reliability metrics to track and improve system and service reliability.
- Skilled in problem-solving, root cause analysis, and optimization.
- Root cause and analyze and triage failures from the application level to the hardware level
Requirements
- Minimum of 8+ years of experience in developing software infrastructure for large scale AI systems.
- Bachelor's degree or higher in Computer Science or a related technical field (or equivalent experience).
- Strong debugging skills and experience in analyzing and triaging AI applications from the application level to the hardware level.
- Experience with observability platforms for monitoring and logging (e.g., ELK, Prometheus, Loki).
- Proven track record in building and scaling large-scale distributed systems.
- Experience with AI training and inferencing infrastructure services.
- Proficiency in programming languages such as Python, C/C++, script languages
- Experience in quality software engineering practices, including test development, defensive programming, version control, and CI.
- Excellent communication and collaboration skills, and a culture of diversity, intellectual curiosity, problem solving, and openness are essential.
Ways To Stand Out From The Crowd
- Background in working with the large scale clusters
- Experience in defining and building observability and telemetry software stack
- Experience with RDMA software stack (NCCL, IB verbs, ucx, libfabrics)
- Experience and root cause analysis of failures and datacenter scale
- Good understanding on DL frameworks internal PyTorch, TensorFlow, JAX, and Ray
Benefits & conditions
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
About the company
NVIDIA leads the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions, from artificial intelligence to autonomous cars. NVIDIA is looking for exceptional people like you to help us accelerate the next wave of artificial intelligence.