Etched

Supercomputing Test Software Engineer (Taiwan) at Etched (Taipei, Taiwan)

Etched· Taipei, Taiwan·

Role details

Work type
Onsite
Employment
Full-Time

Etched at a glance

Transformer-specific ASICs and rack-scale systems that hardwire the transformer into silicon for faster, cheaper AI inference.

Etched designs transformer-specific ASICs and full rack-scale inference systems. Its Sohu chip hardwires the transformer architecture directly into silicon, trading a GPU's general-purpose flexibility for far higher throughput, lower latency, and better power efficiency on AI inference. Customers buy complete co-designed clusters, chip plus rack plus software, not standalone chips.

$800M raised · latest: $500M · led by Stripes · Dec 2025 (reported Jan 2026) · backed by Stripes, Peter Thiel, Ribbit Capital, VentureTech Alliance

Job description

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.

Why work at Etched

  • Mission-driven, high-impact engineering: “Building the hardware for superintelligence” – the company is solving one of the hardest problems in compute (inference efficiency) with a focused team.
  • Top-tier team and learning environment: Colleagues from Google, NVIDIA, Apple, Tesla, Broadcom, and Intel; exposure to full-stack chip-to-system design.
  • In-office culture: All roles are in-office (Cupertino and San Jose, CA). The company emphasizes on-site collaboration for hardware development. Notable perks are not heavily advertised, but compensation is competitive for the AI hardware space (equity-heavy).
  • Growth trajectory: 141% headcount growth YoY, hundreds of open roles, and a $5B valuation signal strong backing and career acceleration potential.
  • Intellectual challenge: Work on chip simulation, RTL design, system validation, or software infrastructure for cutting-edge AI inference.

Application questions