Founding Software Engineer

Posted One Month Ago
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Paris, Île-de-France, FRA
Hybrid
Senior level
Artificial Intelligence • Hardware • Machine Learning • Software
The Role
Build the software stack for a non‑invasive neural interface: backend services, real‑time data pipelines, device integrations, model integration, internal tooling, and reliability/observability improvements while collaborating with ML and neuroscience teams.
Summary Generated by Built In
About Noïa Labs

Noïa Labs is an early-stage neurotechnology company building the next generation of human-AI interfaces.

We're tackling one of the most ambitious problems in human-AI interaction: decoding human intent directly from brain signals, in real time and without surgery, to control and collaborate with AI systems.

Our approach combines optimized neural sensors with large-scale AI models trained across many users, a technical challenge that sits at the intersection of neurotechnologies and frontier AI.

Founded by the team behind NextMind (acquired by Snap) and backed by tier-1 investors, Noïa Labs is starting its journey and hiring a team of outstanding engineers and scientists where each person will have a major impact on the product and technology.

Your Mission

You will be creating the software layer of a non-invasive neural interface, by building the applications, services, and real-time pipelines that connect our devices, neural data, and ML models.

This is a hands-on role for someone who moves quickly across the stack, ships end-to-end, and cares about quality.

You’ll own the backend APIs, data interfaces, model integration, and internal tooling, working closely with ML engineers, neuroscientists, and product teams.

What you’ll do:
  • Design and build full-stack applications that connect neural signals, AI models, and user interactions in real time

  • Create the interfaces and internal tools that power how our teams collect data, train models, and iterate on product

  • Architect the backend layer services, APIs, device integrations, neural decoders, databases

  • Build agentic infrastructure from the ground up: tool use, memory, retrieval, context, and state management for AI systems

  • Improve system reliability, performance, observability, and user experience

  • Work with ML and neuroscience teams to turn prototypes into product features

What we are looking for:
  • 5+ years building and shipping software in a full-stack, backend-leaning role

  • A track record of owning features end-to-end.

  • Strong backend fundamentals: APIs, databases, cloud infrastructure

  • Solid grasp of software architecture, with a care for reliability, performance, and security.

  • High ownership, good product instincts, autonomy, leadership and decision making skills.

Benefits & Compensation:
  • Equity package

  • Full health coverage, employer-paid through Alan

  • 100% reimbursement of public transport costs (Paris-based)

  • Meal vouchers at €11 per working day, 60% company-funded

  • New MacBook Pro

  • RTT (extra days off)

Even if you don't check every box in our requirements, we encourage you to apply. We value diverse perspectives and backgrounds, and we're more interested in your potential and passion than a perfect match to our checklist.

In case of any doubts or questions, please contact - [email protected]


Skills Required

  • 5+ years building and shipping software in a full-stack, backend-leaning role.
  • Proven track record of owning features end-to-end.
  • Strong backend fundamentals: APIs, databases, cloud infrastructure.
  • Solid software architecture skills with focus on reliability, performance, and security.
  • High ownership, product instincts, autonomy, leadership and decision-making skills.
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The Company
Year Founded: 2026

What We Do

Noïa Labs is an early-stage neurotechnology company developing non-invasive brain-computer interfaces for human–AI interaction. Its platform aims to decode human intent directly from brain signals in real time, enabling people to control and collaborate with AI systems without surgery. The company combines optimized neural sensors with large-scale machine-learning models trained across users, integrating neuroscience, hardware, and frontier AI for practical everyday use.

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