
Core Software Engineer at Etched (San Jose, CA)
Etched· San Jose, CA· $150k–$275k·
Role details
Medical, Dental, And Vision Packages · Housing Subsidy · Relocation Support · Wellness Benefits · Daily Lunch And Dinner
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
Summary
Build critical infrastructure and production-level code to power the world's first AI inference system. This role involves shipping 0-to-1 solutions, designing critical technical foundations, and collaborating cross-functionally to solve time-sensitive, business-critical problems.
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
Build the products that will power a majority of the world’s inference. The Core Engineering team is our special forces. This role works directly with our founders to identify critical gaps across the organization and build solutions 0 to 1, often in days not weeks, with immediate feedback loops. Your projects will vary widely: one week you might build internal infrastructure to unblock a hardware team, the next you might prototype a deployment for a customer or stand up a new tooling workflow.
This role is for engineers who thrive on ambiguity, move fast without sacrificing quality, and get energy from solving whatever problem matters most right now. It is a whiteboard for future founders – if you’re interested in shipping 0-1 production-level code every week, this role is for you.
This role requires not only exceptional full-stack engineering capabilities, but also deep product sense, personal accountability, and a knack for building from the ground up. At Etched, we’re developing our processes for scale, and we’re looking for engineers to deploy to our toughest challenges. The problems we solve are time-sensitive and business-critical. This role will not be a 9-5, and the ideal candidate is excited about that.
Key Responsibilities
- Detect problems and inefficiencies across the organization, bringing them to the attention of the executive team, and develop custom applications and projects for each need. The ideal candidate should be comfortable shipping from scratch every week.
- Work cross-functionally to execute special projects between the executive team and the rest of the organization.
- Define and represent operational milestones by collecting company data, developing business intuitions, and executing whatever needs to be done to meet them.
- Design the interfaces, developer workflows, and critical infrastructure that will define the company’s technical foundation.
You may be a good fit if you
- Strong full-stack skills (TypeScript, React, Python).
- 1-5 years of experience building and shipping software end to end, ideally in a startup environment.
- Product sense and its necessary prerequisites, from AI tooling proficiency to design taste.
- Bias towards action and comfort with incomplete information.
- Ability to continuously learn, set metrics, and solve problems with minimal supervision and maximum impact.
- Excitement for solving technical problems with data structures, storage systems, cloud infrastructure, front-end frameworks, and other technical tools.
Strong candidates may also have experience with
- Infrastructure or DevOps experience
- Prior startup experience, especially during hyper growth
- Deploying AI systems in enterprise environments
Benefits
- Medical, dental, and vision packages with generous premium coverage
- $500 per month credit for waiving medical benefits
- Housing subsidy of $2k per month for those living within walking distance of the office
- Relocation support for those moving to San Jose (Santana Row)
- Various wellness benefits covering fitness, mental health, and more
- Daily lunch + dinner in our office
- Unlimited compute budget subject to ROI justification
How we’re different
Etched believes in the Bitter Lesson incompleteideas.net/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 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.