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About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
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As a PhD Research Intern, Programming Systems - 2027, you will join the programming systems research team to develop innovative parallel algorithm techniques, expressive programming models and languages, powerful code analysis and generation tools, and scalable runtime environments. You will focus on inventing new methodologies and building prototype software to accelerate real-world applications in machine learning, data analytics, and other technology areas. Your work involves creating prototypes and patents that eventually integrate into the accelerated computing platform. The role requires a PhD candidate with strong programming skills in C, C++, Python, or Rust. You should have a research track record in compilers, runtime systems, parallel algorithms, formal verification, or agentic software optimization. This position addresses technical challenges in parallel computing to empower programmers and improve performance across various domains including high-performance computing and distributed computing.
C
C++
Python
Deep Learning
Computer Architecture
Distributed Systems
Operating Systems
Compilers
LLM Training
Inference
Simulation
Modeling
Benchmarking
AI/ML Systems
System Software
Large Language Models
Distributed Systems
Python
Go
C++
Rust
Docker
Kubernetes
RDMA
Software-Defined Networking
Linux Networking
Deep Learning
Machine Learning
High-Performance Computing
vLLM
llm-d
Python
C++
CUDA
PyTorch
Deep Learning
Reinforcement Learning
Robotics
Autonomous Vehicles
Simulation
Machine Learning
Parallel Programming
Closed-loop Training
Verification and Validation