Inference Software Engineer
Etched - San Jose, CA, United States
Posted Jun 17, 2025
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Mental health support
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About this role
Inference Software Engineer San Jose, CA, United States About Etched Etched is building the world's first AI inference system purpose-built for transformers - delivering over 10x higher performance and dramatically lower cost and latency than a B200. With Etched ASICs, you can build products that would be impossible with GPUs, like real-time video generation models and extremely deep & parallel chain-of-thought reasoning agents. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. Key responsibilities - Support porting state-of-the-art models to our architecture. Help build programming abstractions and testing capabilities to rapidly iterate on model porting. - Build, enhance, and scale Sohu's runtime, including multi-node inference, intra-node execution, state management, and robust error handling. - Optimize routing and communication layers using Sohu's collectives. - Utilize performance profiling and debugging tools to identify bottlenecks and correctness issues. You may be a good fit if you have - Proficiency in C++ or Rust. - Understanding of performance-sensitive or complex distributed software systems like Linux internals, accelerator architectures (e.g. GPUs, TPUs), Compilers, or high-speed interconnects (e.g. NVLink, InfiniBand). - Familiarity with PyTorch or JAX. - Ported applications to non-standard accelerator hardware or hardware platforms. Strong candidates may also have experience with (Nice-to-have qualifications) - Developed low-latency, high-performance applications using both kernel-level and user-space networking stacks. - Deep understanding of distributed systems concepts, algorithms, and challenges, including consensus protocols, consistency models, and communication patterns. - Solid grasp of
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