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Software Architect, Platform Austin, TX​/Remote Office

Remote / Online - Candidates ideally in
Austin, Travis County, Texas, 78716, USA
Listing for: Webai
Remote/Work from Home position
Listed on 2025-10-30
Job specializations:
  • IT/Tech
    Systems Engineer, Cybersecurity
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: Software Architect, Platform Austin, TX / Remote Office

About Us:

webAI is pioneering the future of artificial intelligence by establishing the first distributed AI infrastructure dedicated to personalized AI. We recognize the evolving demands of a data-driven society for scalability and flexibility, and we firmly believe that the future of AI lies in distributed processing at the edge, bringing computation closer to the source of data generation. Our mission is to build a future where a company's valuable data and intellectual property remain entirely private, enabling the deployment of large-scale AI models directly on standard consumer hardware without compromising the information embedded within those models.

We are developing an end-to-end platform that is secure, scalable, and fully under the control of our users, empowering enterprises with AI that understands their unique business. We are a team driven by truth, ownership, tenacity, and humility
, and we seek individuals who resonate with these core values and are passionate about shaping the next generation of AI.

About the Role:

We are seeking a visionary Platform Architect to lead core architectural decisions across our distributed AI stack — from runtime orchestration, through application interfaces, to mesh-aware networking. This is role lives at the intersection of systems architecture, AI infrastructure, and distributed computing. You will define, validate, and evolve the technical blueprint that powers webAI’s intelligent mesh and ensures it scales with enterprise-grade resilience, security, and performance.

Key Responsibilities:
  • End-to-End Architecture:
    Own the design and evolution of the platform architecture across the runtime, application, and mesh-network layers. Prioritize modularity, composability, and real-world deployability.

  • AI Runtime Design:
    Define and build high-performance runtimes, including task scheduling, memory management, and hardware abstraction for heterogeneous environments (CPU, GPU, NPU). Contribute to or integrate frameworks like ONNX, Tensor

    RT, or custom inference stacks.

  • Networking Layer:
    Architect resilient peer-to-peer communication and mesh networking systems across diverse radios (Wi-Fi, Bluetooth, WebRTC, etc.), including device discovery, data synchronization, and fault tolerance.

  • Security & Observability:
    Embed zero-trust principles, encryption at rest and in transit, signed inference, and platform-level logging, monitoring, and diagnostics by design.

  • Technical Leadership:
    Serve as a technical mentor for engineering teams, validate architectural choices, conduct design reviews, and collaborate with stakeholders to ensure alignment with product vision and performance requirements.

Required Skills &

Qualifications:

Experience:

  • 10+ years of relevant experience in systems architecture, distributed computing, or AI infrastructure, with a proven track record designing and scaling production-grade distributed platforms. We require depth of experience and demonstrated impact over tenure.

AI Runtime Design

  • Experience building or contributing to high-performance runtimes (ONNX, Tensor

    RT, custom runtimes).

  • Task scheduling, memory management, hardware abstraction (CPU, GPU, NPU).

Tooling & Stack Preferences

  • Systems programming in Rust, Go, or C++ (must-have: not just Python or web dev).

  • Bonus: experience with federated learning, agent communication, MPC, or privacy-preserving computation.

  • Understanding of real-time, low-latency, and resource-constrained environments.

Networking Layer

  • Cross-radio P2P communication (Wi-Fi, Bluetooth, WebRTC, etc).

  • Device discovery, resilient mesh networking, and data synchronization.

  • Security & Observability

  • Familiarity with zero-trust models, signed inference, encryption at rest & in transit.

  • Build-in logging, monitoring, and platform-level diagnostics.

We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:

  • Truth - Emphasizing transparency and honesty in every interaction and decision.

  • Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients.

  • Tenacity - Persisting in the…

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