About the role#
The AGI Computing Lab focuses on system-level challenges for AI and machine learning workloads. You will join a team that designs scalable platforms to handle complex computational and memory requirements while managing energy use. The team works with hardware and software engineers to create new computing abstractions and research emerging technologies in memory, interconnects, and AI hardware.
What you'll do#
- Design and implement ML compilers for high-performance deep learning applications.
- Optimize compilers to improve the execution of deep learning models across various hardware platforms.
- Develop a staged lowering infrastructure to meet evolving workload requirements.
- Create algorithms to optimize data locality and reduce energy consumption.
- Collaborate with hardware architects to integrate new ML techniques into the compiler.
- Work with cross-functional teams to define and deliver compiler features.
- Troubleshoot and debug compiler issues while providing technical support.
- Contribute to technical documentation and user guides.
- Stay current with trends in ML compilers and hardware.
What you'll need#
- Pursuing a bachelor's, master's, or PhD in Computer Science.
- Experience developing and optimizing software for high-performance computing systems.
- Experience with LLVM or MLIR is preferred.
- Familiarity with PyTorch, TensorFlow, or JAX.
- Familiarity with CPU, GPU, TPU, and NPU hardware architectures.
- Strong analytical, problem-solving, and communication skills.
- Ability to work independently and as part of a team.
Location & details#
- This is a full-time, paid internship based on-site at our San Jose, California headquarters.
- The position operates on a rolling basis.
About Samsung Semiconductor
Samsung Semiconductor operates as a subsidiary of Samsung Electronics. The company manufactures semiconductor components for device makers. It started operations in 1974. The organization employs more than 10,000 people.
How to get in at Samsung Semiconductor
Applying to Samsung Semiconductor early matters because recruiters review applications as they arrive. Intern Insider sends an instant alert the moment a role matching your target is published anywhere, so you apply among the first, early applicants get seen before the pile grows. You should aim to be in the first wave of candidates to ensure your resume reaches a human reader. Reaching out to the right person often helps you stand out from the general applicant pool. Intern Insider surfaces the recruiters behind the company's roles so you can reach out directly to ask about the role or a referral, which materially improves response rates. A brief, professional message to a recruiter can clarify your interest and help you learn more about the team.
