---
title: 'Supercomputing Test Software Engineer (Taiwan) at Etched'
canonical: 'https://feeny.ai/job/supercomputing-test-software-engineer-taiwan-etched-taipei-hy8dgxn4e681'
type: 'job'
last_seen: '2026-11-09'
---

# Supercomputing Test Software Engineer (Taiwan) at Etched

- **Company:** [Etched](https://feeny.ai/companies/etched)
- **Location:** Taipei, Taiwan
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2025-10-29
- **Last confirmed live:** 2026-11-09
- **Apply:** https://jobs.ashbyhq.com/Etched/3da8034e-4639-44b0-99a4-aeec6ff9e59c

## 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](http://www.incompleteideas.net/IncIdeas/BitterLesson.html). 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.

## About Etched

## Company Overview
- **One-liner**: Etched designs and manufactures specialized ASICs (application-specific integrated circuits) that are hardwired to run transformer-based AI models, offering an order-of-magnitude improvement in inference cost and energy efficiency over general-purpose GPUs.
- **Entity Type**: Private (Series B / later stage; total raised $800M as of June 2026)
- **Headquarters**: San Jose, California, USA (also has offices in Cupertino, CA; Sacramento, CA; and small presence in Taiwan, Canada, UK, Bulgaria)
- **Founded**: 2022
- **Founders**: Gavin Uberti (CEO), Robert Wachen (President & COO), Chris Zhu (Co-Founder)

## Core Business
- **Primary industry**: AI hardware / semiconductor design / computer hardware manufacturing
- **Target customers**: Frontier AI labs, hyperscalers, and enterprises running large-scale transformer inference workloads (B2B, enterprise)
- **Mission / purpose**: Build hardware for superintelligence – specifically, the world’s most powerful servers for transformer inference.

## Products & Services
- **Sohu Chip (ASIC)**: A transformer-specific ASIC manufactured by TSMC. It burns the transformer architecture directly into silicon, eliminating the overhead of general-purpose GPUs for inference.
- **Frontier Inference Clusters**: Full-stack systems that bundle the Sohu chip with custom-designed racks, networking, and software. Customers place orders for complete systems, not just chips. Etched claims they deliver more tokens per dollar and per watt for dense models, sparse MoEs, diffusion models, and more.
- **Software Stack**: Includes compiler and runtime optimizations built by a team with deep experience (former Apache TVM developer, ex-Google TPU software lead).

## Market Standing
- **Valuation**: $5 billion post-money valuation (as of December 2025 / disclosed June 2026)
- **Key Metric**: $1 billion in contract orders (booked) for its systems; total funding of $800M (including an unannounced $500M round closed Dec 2025 led by Stripes)
- **Notable Investors**: Stripes (lead), VentureTech Alliance, Jane Street, Hudson River Trading, Two Sigma, Ribbit Capital. Angel investors include Andrej Karpathy, Geoffrey Hinton, Fei-Fei Li, Arthur Mensch, Scott Wu, Stanley Druckenmiller, Peter Thiel. Earlier backers: Positive Sum, Primary Venture Partners.
- **Growth Signals**:
  - Headcount: 258 employees (as of mid-2026), up 141% year-over-year
  - 100+ active job postings across engineering, operations, and business functions
  - $500M raise in late 2025; first chip manufactured by TSMC in 2025 and now being tested with customers
  - Talent sources include Google (21), Apple (17), NVIDIA (16), Tesla (11), Intel (10), AMD (5)

## Competitive Advantages
- **Transformer-specific architecture**: Unlike GPUs (which are general-purpose), Etched’s chip is hardwired only for transformer operations, enabling drastically lower cost and latency for today’s dominant AI model architecture.
- **Full-stack system play**: By selling entire inference clusters (chip + rack + software), Etched captures more value and delivers a turnkey solution competitive with NVIDIA’s DGX/HGX systems.
- **Deeply experienced leadership**:
  - CEO Gavin Uberti (Harvard math researcher, AI compiler expert, Apache TVM contributor)
  - President Robert Wachen (co-founded Prod AI incubator; Thiel Fellow)
  - VP of Platform (ex-NVIDIA 22 years, built HGX/DGX systems)
  - VP of Software (ex-Google DeepMind, lead TPU v1–v5 software)
  - Chief Architect Saptadeep Pal (former Auradine co-founder, chiplet expert)
  - VP of Hardware Engineering Ajat Hukkoo (ex-Cypress CTO, shipped >$1B revenue products)

## Strategic Focus
- **Scale manufacturing and customer deliveries**: With the first chip successfully fabricated, the company is now testing production systems and aims to fulfill $1B in pre-orders.
- **Expand engineering talent**: Aggressively hiring across silicon design, validation, infrastructure, optics, and software to support volume ramp.
- **Maintain technological lead**: Continue refining the ASIC for future transformer variants and MoE mixtures while building out a partner ecosystem.

## Why Work Here
- **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.

## Sources
1. [etched.com/careers](https://www.etched.com/careers)
2. [builtin.com/company/etched](https://builtin.com/company/etched)
3. [linkedin.com/company/etched-ai](https://www.linkedin.com/company/etched-ai)
4. [cbinsights.com/company/etched](https://www.cbinsights.com/company/etched)
5. [techcrunch.com/2026/06/30/nvidia-competitor-etched-hits-5b-valuation-1b-in-sales-for-ai-chip/](https://techcrunch.com/2026/06/30/nvidia-competitor-etched-hits-5b-valuation-1b-in-sales-for-ai-chip/)

## Other roles at Etched

- [Electrical Engineer - Next Gen Development  (TW)](https://feeny.ai/job/electrical-engineer-next-gen-development-tw-etched-taipei-1p5eavhnv899) — Taipei, Taiwan
- [Infrastructure Engineering & Projects Intern](https://feeny.ai/job/infrastructure-engineering-projects-intern-etched-san-jose-nex7pv255w2v) — San Jose, CA
- [Site Reliability Engineer - Fleet Command & Control](https://feeny.ai/job/site-reliability-engineer-fleet-command-control-etched-san-jose-q5m27r8np5cv) — San Jose, CA
- [IA Research Engineer Intern](https://feeny.ai/job/ia-research-engineer-intern-etched-san-jose-vhnrfnhzby7x) — San Jose, CA
- [Chip Simulation Lead](https://feeny.ai/job/chip-simulation-lead-etched-san-jose-6d9bt85ms6tx) — San Jose, CA
- [Build Engineer](https://feeny.ai/job/build-engineer-etched-san-jose-zmxm6znacgm1) — San Jose, CA
- [Inventory Site Lead (Milpitas)](https://feeny.ai/job/inventory-site-lead-milpitas-etched-san-jose-n83f9gpfm42w) — San Jose, CA
- [Strategic Buyer](https://feeny.ai/job/strategic-buyer-etched-san-jose-e9vh7zjgpwv0) — San Jose, CA
- [People Operations Generalist](https://feeny.ai/job/people-operations-generalist-etched-san-jose-mct9adxz70g2) — San Jose, CA
- [Manufacturing Operations Program Manager (Taiwan)](https://feeny.ai/job/manufacturing-operations-program-manager-taiwan-etched-taoyuan-a7vyayy8zrh7) — Taoyuan, Taiwan