Managed Language Compiler Engineering Intern - 2027
Overview
- Added in 30 days
- 647
- At this company, still open
Skills named in this posting
- C++
- Python
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
Apply on the employer's site
Original posting: jobs.nvidia.com
RISC-V ecosystem
NVIDIA Corporation in the RISC-V ecosystem
RISC-V International: Premier Board
Founded in 1993, NVIDIA is an AI computing company. The company is headquartered in Santa Clara, California.
- NVIDIA is bringing CUDA platform support to RISC-V, i.e. allowing a RISC-V CPU to host CUDA GPU applications
- Publicly credited the RVA23 profile as the enabler: "We wouldn't have considered porting CUDA to RISC-V without it"
- Active in RISC-V International profile/standards work and a frequent presence in RISC-V ecosystem coverage
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