Etched

Lab Operations Intern at Etched (San Jose, CA)

Etched· San Jose, CA·

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 prefill and decode. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, we're redefining the infrastructure layer for the fastest growing industry in history.

Job Summary Etched's lab keeps our hardware running 24/7. Our chips, modules, and racks are constantly being tested, and we need sharp, reliable hands to make it happen. You'll run test stations, assemble and rework hardware, cable racks, manage inventory, and own the day-to-day operations that turn raw silicon into working systems. You will see how a frontier AI chip goes from a tray of parts to a running rack, and reliable, curious interns take on engineering work over time.

This role is for people genuinely excited about what we're building and willing to do real, often repetitive work with precision and care. Evening and weekend availability is a plus. This role is fully in-person in San Jose.

You may be a good fit if you:

  • Have extreme attention to detail
  • Interested in both software and hardware
  • Are excited about learning how a hardware company works end to end
  • Are comfortable with hands-on work
  • Have evening or weekend availability
  • Curiosity and bias to action — see what needs doing and figure it out

Strong candidates may also have:

  • Experience with software, mechanical engineering, or thermal systems
  • Understanding of accelerator hardware, or datacenter environments
  • Have owned or built hardware testing systems

We encourage you to apply even if you do not believe you meet every qualification.

Program details

  • 12-week paid internship (June - August 2026)
  • Generous housing support for those relocating
  • Daily lunch and dinner in our office
  • Based at our office in San Jose, CA
  • Direct mentorship from industry leaders and world-class engineers
  • Opportunity to work on one of the most important problems of our time

For any questions, contact internships@etched.com

How we're different

Etched believes in theBitter Lesson. We are the first inference-focused frontier AI system, betting early on transformer and transformer-like architectures and on increasing model sizes. Our addressable market is the entirety of inference.

We are a fully in-person team in San Jose 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