Systems Engineer, Finance & Operations

Reposted 16 Days Ago
Be an Early Applicant
San Jose, CA
In-Office
120K-220K Annually
Mid level
Artificial Intelligence • Hardware • Software
The Role
The Finance Systems Architect will own and evolve financial systems, focusing on ERP and data infrastructure while integrating with manufacturing and operations.
Summary Generated by Built In

About Etched

Etched is building AI chips that are hard-coded for individual model architectures. Our first product (Sohu) only supports transformers, but has an order of magnitude more throughput and lower latency than a B200. With Etched ASICs, you can build products that would be impossible with GPUs, like real-time video generation models and extremely deep & parallel chain-of-thought reasoning agents.

Job Summary

As Etched scales from R&D into global manufacturing and deployment, the complexity of our financial and operational systems is increasing rapidly. We are hiring a hands-on engineer to own and evolve the technical backbone of our financial systems. Starting with ERP and expanding into data infrastructure that connects finance with manufacturing, logistics, and operations, this is a critical role that will enable Etched to scale.

You will be the primary technical owner of our ERP and financial data flows, responsible for architecture, implementation, and long-term scalability. In the short term, this role is heavily ERP-focused; over time, it expands into broader data engineering and infrastructure ownership.

This is not a consulting or governance role. You will own these systems end to end - designing them, building them, and ensuring scalability.

Key responsibilities

Own Core Financial Systems
  • Serve as the primary technical owner of Etched’s ERP and adjacent financial systems.

  • Drive architecture, implementation, and ongoing maintenance.

  • Act as the main PM and hands-on developer for NetSuite initiatives.

Build Financial Data Infrastructure
  • Design and stand up a financial data lake or warehouse.

  • Create clean, well-structured datasets for financial analysis and forecasting.

  • Ensure data integrity, traceability, and correctness across systems.

Integrate Finance with Hardware Operations
  • Build integrations across manufacturing, supply chain, logistics, and reverse logistics.

  • Model real-world physical processes accurately in software.

  • Ensure financial data reflects operational reality.

Execute End-to-End
  • Architect lightweight, scalable systems and build them yourself.

  • Eliminate manual workflows through automation.

  • Partner with consultants on specialized projects while remaining the internal owner.

You may be a good fit if you have

  • 2–5 years of experience with a strong record of ownership and execution.

  • Ability to build custom integrations and connect systems where APIs are not well defined.

  • Background in Computer Science, Data Engineering, or Data Science.

  • Experience working with hardware, manufacturing, logistics, or other physical systems.

  • Strong programming skills in JavaScript, with familiarity in Python.

  • Strong programming skills in Python; familiarity with JavaScript and JSON.

  • Experience building or owning production systems end to end.

  • Comfort acting as both system architect and hands-on developer.

  • Ability to work closely with Finance, Accounting, and Infrastructure teams.

  • ​​High autonomy, strong business judgment, and the ability to operate beyond task execution.

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

How we’re different

Etched believes in the Bitter Lesson. We think most of the progress in the AI field has come from using more FLOPs to train and run models, and the best way to get more FLOPs is to build model-specific hardware. Larger and larger training runs encourage companies to consolidate around fewer model architectures, which creates a market for single-model ASICs.

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 as needed.

Top Skills

Data Engineering
Data Lake
Erp
JavaScript
JSON
NetSuite
Python
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The Company
HQ: Cupertino, CA
53 Employees
Year Founded: 2022

What We Do

By burning the transformer architecture into our chips, we’re creating the world’s most powerful servers for transformer inference.

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