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 Transformer architectures, particularly Mixture-of-Experts (MoE).
Built applications with extensive SIMD (Single Instruction, Multiple Data) optimizations for performance-critical paths.
Benefits
Medical, dental, and vision packages with generous premium coverage
$500 per month credit for waiving medical benefits
Housing subsidy of $2k per month for those living within walking distance of the office
Relocation support for those moving to San Jose (Santana Row)
Various wellness benefits covering fitness, mental health, and more
Daily lunch + dinner in our office
How we’re different
Etched believes in the Bitter Lesson. We think most of the progress in the AI field has come from using more FLOPs to train and run models, and the best way to get more FLOPs is to build model-specific hardware. Larger and larger training runs encourage companies to consolidate around fewer model architectures, which creates a market for single-model ASICs.
We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.
Skills Required
- Proficiency in Rust and/or C++
- Familiarity with PyTorch and/or JAX
- Knowledge of Linux internals and accelerator architectures
- Experience porting applications to non-standard or accelerator hardware
Etched Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Etched and has not been reviewed or approved by Etched.
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Equity Value & Accessibility — Equity growth is described as strong and significant equity is part of the package. High total compensation for technical roles reinforces the equity-led upside.
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Healthcare Strength — Medical, dental, and vision coverage include generous premium support, indicating robust core healthcare. This reduces employee cost exposure for essential coverage.
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Wellbeing & Lifestyle Benefits — Daily lunch and dinner, a housing subsidy for those living near the office, relocation support, and wellness perks are highlighted. These offerings lower day-to-day living costs and support practical wellbeing.
Etched Insights
What We Do
By burning the transformer architecture into our chips, we’re creating the world’s most powerful servers for transformer inference.
