מציאת משרת הייטק בחברות הטובות ביותר מעולם לא הייתה קלה יותר
What you will be doing:
Work with a core group of engineers passionate about tackling hard problems in distributed system design, fault-tolerance, and AI infrastructure in real-world production systems
Design and develop constraint optimization algorithms to optimize resource management on large-scale high-throughput clusters
Create design documents that emphasize data-driven decisions and validate improvements using metrics
Collaborate with engineering teams across all of NVIDIA to ensure your software integrates seamlessly up and down the stack
What we need to see:
Pursuing a BS, MS or PhD in Computer Science / Computer Engineering / Physics / Mathematics
Deep understanding of algorithms, data structures, concurrency, scalable runtime design and distributed systems
Strong programming skills and expert-level knowledge of a systems programming language (C/C++/Go/Rust)
Highly motivated with strong interpersonal skills, you have the ability to work successfully with multi-functional teams, principals, and architects and coordinate effectively across interpersonal boundaries and geographies
Ways to stand out from the crowd:
Hands-on experience with building scalable distributed systems
Experience with building AI/ML/DL based software solutions for large-scale AI infrastructure
Upstream contribution in open source projects, such as, Kubernetes
You will also be eligible for Intern
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