Managed Language Compiler Engineering Intern - 2027
China, Shanghai · Presencial
JavaScriptPythonJavaLinux
Resumen de la oportunidad
Managed Language Compiler Engineering Intern - 2027 en NVIDIA. Ubicación publicada: China, Shanghai.
- Empresa
- NVIDIA
- Sector
- Semiconductores / tecnologia
- Ubicación
- China, Shanghai
- Modalidad
- Presencial
- Tipo de contrato
- FULL TIME
- Actualizada
- 28 de septiembre de 2026
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Descripción del empleo
Sobre el empleo
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