Supercomputing Engineer
Etched - San Jose, CA, United States
Posted Jun 18, 2025
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- 401(k) match
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Schedule
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Application
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About this role
Supercomputing 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. Job Summary Etched is building at-scale AI systems that will unlock faster, more efficient inference for billions of people, and the Supercomputing team is critical in enabling this mission. We are seeking a highly skilled and motivated Engineer to join our Supercomputing team to help build the foundational software that powers our cluster-scale AI compute deployments. This role on the core team involves the development, integration, and debugging of critical system components, including on control-plane software, system bring-up, telemetry, orchestration primitives, and performance tuning at the hardware-software boundary. Key Responsibilities - Architect and implement low-level control-plane software responsible for system bring-up, configuration, and management of cluster-scale AI compute deployments - Build system services that interact directly with hardware, firmware, and the operating system - Develop telemetry, logging, and tracing infrastructure for diagnosing failures and driving performance improvements - Implement orchestration primitives for managing devices, nodes, and racks - Profile and tune performance across PCIe, memory, networking, kernel, and runtime layers - Collaborate
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