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Etched

Supercomputing Test Software Engineer (Taiwan)

Etched is hiring a Supercomputing Test Software Engineer (Taiwan) in Taipei, Taiwan. Level rates it ; you can apply on Etched.

Level's read on this job

  • On Level's scale, this software engineer role is Little AI ●○○○: aI is not part of the work.
  • Level lists 122 other open roles at Etched.

AI in this role

About Etched

Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference. 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

We are seeking highly motivated and detail-oriented Software Engineers to join our Supercomputing Testing team. This team plays a critical role in ensuring the reliability and stability of our highest-performance Inference server hardware and software. As a Software Engineer on this team, you will design, develop, and execute comprehensive supercomputing test suites, analyze test results, and collaborate with hardware and software engineering teams at Etched and our ODM partners to identify and resolve potential issues. You will be at the forefront of ensuring our server products meet the highest quality standards before they reach our customers.

Key Responsibilities

  • Design, develop, and implement automated supercomputing 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.

  • Execute tests on server hardware, monitor system performance and health, and analyze test results.

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

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

  • Contribute to the development and maintenance of the supercomputing testing infrastructure, including portable test environments and automation tools runnable in any environment.

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

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

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

Representative projects

  • Develop automated test suites to stress-testing of Supercomputing AI subsystems under extreme at-scale 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 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 Pod-level dashboards tracking system testing across hundreds of AI accelerators.

You may be a good fit if you have

  • 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.

Strong candidates may also have experience with (Nice-to-have qualifications)

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

  • Experience with performance testing and benchmarking tools.

  • Familiarity with hardware diagnostic tools and techniques.

  • Experience with CI/CD pipelines.

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

  • Experience with data analysis tools and techniques.

Benefits

  • Competitive compensation packages including generous equity packages

  • Comprehensive insurance coverage and other top-of-market benefits

  • Unlimited compute budget subject to ROI justification

How we’re different

Etched believes in the Bitter Lesson. We are the first inference-focused frontier AI system. Our addressable market is the entirety of inference, unlike many of our competitors.


We are a fully in-person team in San Jose (Santana Row) and Taipei, 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 and work across disciplines as needed.

How we rate this

Supercomputing Test Software Engineer (Taiwan) at Etched rates 23 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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