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Salary
≈ $20k – $38k per year (Estimated)
Location
In office (Shanghai)
Seniority
Intern
Employment
Internship

Confirmed on the employer's own hiring board on Sep 29, 2026. First seen by Alion on Sep 28, 2026. NVIDIA scores A on the Alion truth index.

Overview
Company
Impact
Profile match
NVIDIA is an American technology company founded in 1993 that invented the graphics processing unit and has become the dominant supplier of accelerated computing platforms for artificial intelligence. Its portfolio spans data centre GPUs and systems built on the Hopper and Blackwell architectures, GeForce consumer graphics, automotive and robotics platforms, high-speed networking acquired with Mellanox, and the CUDA software stack that binds the ecosystem together. Headquartered in Santa Clara, California, the company sells to cloud providers, enterprises, research institutions and gamers worldwide and is one of the most valuable listed businesses on the Nasdaq.

We are now seeking a Compiler Engineer Intern for an exciting and fun role in our Java Compiler Team. Our team is responsible for improving the JVM that realise the potential of NVIDIA's CPUs designed for the world's largest Data Centers: https://www.nvidia.com/en-gb/data-center/grace-cpu/, which covers the areas over runtime, compiler optimization, code generation, CPU pipeline analysis and etc.

What you'll be doing:

  • Work on feature enablement and optimization of open source managed languages runtime/compiler projects, such as CPython, Google V8, CPython, etc.
  • Partner with both internal and communities to develop, valid and upstream patches.
  • Work with global compiler, hardware and application teams to oversee improvements and problem resolutions.
  • Drive and push architecture neutral and NV friendly solutions in the communities.
  • Be flexible, with a variety of software development skills and extend the breadth and depth of knowledge.

What we need to see:

  • Pursuing B.S. or higher degree in Computer Science/Engineering
  • Excellent hands-on C++ programming skills
  • Strong background in software engineering principles with a focus on crafting robust and maintainable solutions to challenging problems
  • Good communication and documentation skills and self-motivated

Ways to stand out from the crowd:

  • Masters or PhD preferred, with compiler or language virtual machine experiences
  • Background with Java, JavaScript, Python and understand the key language features
  • Familiar with Linux and shell programming
  • Knowledge on computer architecture, ISA, assembly, and Arm64 is preferred
  • Exposure to various ML techniques
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