Supercomputing Engineer (Test)

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.

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  Design, develop, and implement automated burn-in test suites using common scripting languages (Python, Go, Bash) and test frameworks across all aspects of System Operation including: boot sequences, root-of-trust, system management, workload deployment and performance.

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  Execute burn-in tests on server hardware, monitor system performance and health, and analyze test results.

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  Investigate and debug hardware and software failures identified during testing, providing detailed reports and mitigation plans.

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  Collaborate with internal and external hardware and software engineering teams to identify root causes of failures and implement corrective actions.

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  Contribute to the development and maintenance of the burn-in testing infrastructure, including portable test environments and automation tools runable in any environment.

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  Create and maintain comprehensive documentation for test plans, test cases, and test results.

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  Analyze system performance metrics to identify potential bottlenecks and areas for optimization.

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  Participate in continuous improvement efforts to enhance the efficiency and effectiveness of the burn-in testing process.

• Develop automated test suites to stress-testing of CPUs, memory, storage, and network subsystems under extreme workloads.

• Design and implement fault injection tests to simulate hardware and software failures.

• Create tools to monitor and analyze system performance metrics, such as CPU utilization, cross-socket memory performance and usage, and network latency.

• Build and maintain a scalable burn-in testing environment capable of handling multiple server configurations.

• Collaborate with hardware engineers to develop tests for new server features and components.

• Contribute to the creation of dashboards that show the current state of burn in testing across the server farm.

• Proficiency in at least one scripting language (e.g., Python, Bash, Go).

• Experience with software testing methodologies and tools.

• Strong understanding of operating systems (Linux preferred) and server hardware architectures.

• Ability to analyze complex technical problems and provide effective solutions.

• Excellent communication and collaboration skills.   

• Ability to work independently and as part of a team.

• Experience with version control systems (e.g., Git).   

• Experience with reading and interpreting hardware logs.

• Experience with hardware burn-in testing or reliability testing.

• Knowledge of server virtualization and cloud computing concepts.

• Experience with performance testing and benchmarking tools.

• Familiarity with hardware diagnostic tools and techniques.

• Experience with containerization technologies (e.g., Docker, Kubernetes).

• Experience with CI/CD pipelines.

• Knowledge of low level hardware communication protocols (i2c, etc.)

• Experience with data analysis tools and techniques.

• Candidates with experience in server hardware or software development, testing, or support.

• A strong interest in hardware and software reliability.

• A background in system administration or performance engineering.

• Working in a fast-paced and challenging environment.

• Working in a datacenter environment.

• Telecommunications or high performance computing fields.

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.