About the role#
We are looking for interns to join our architecture team for terms in Fall 2026, Winter 2027, or Summer 2027. You will work on designing and optimizing compute architectures specifically for inference workloads. This role involves direct collaboration with our engineering team to improve performance and efficiency on our AI accelerators.
What you'll do#
- Port state-of-the-art models to our hardware architecture.
- Build programming abstractions and testing tools to speed up model porting.
- Enhance our runtime, including multi-node inference, state management, and error handling.
- Optimize routing and communication layers using our collectives.
- Use profiling and debugging tools to find performance bottlenecks and correctness issues.
- Co-design hardware instructions and model architecture operations.
- Develop high-performance software components for the Model Toolkit.
What you'll need#
- Progress toward a degree in Computer Science, Computer Engineering, or Mathematics.
- Proficiency in Python and C++.
- Experience with performance-sensitive or complex distributed software systems.
- Experience porting applications to non-standard accelerator hardware.
- Knowledge of transformer model architectures or inference serving stacks.
- Familiarity with Rust, PyTorch, or JAX.
- Understanding of distributed systems, SIMD optimizations, or low-latency networking stacks.
- Experience with math competitions is a plus.
Location & details#
- Location: San Jose, California.
- Modality: This is an on-site, full-time internship.
- Duration: 12 weeks.
- Compensation: This is a paid internship with housing support provided for those relocating.
About Etched
Etched operates in the computer hardware manufacturing industry. The company builds frontier inference clusters. Founded in 2022, it maintains its headquarters in San Jose, California. The organization is privately held and employs approximately 496 people.
How to get in at Etched
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