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Software Architect, Platform

Webai

Austin, Texas, United States permanent

Posted: July 9, 2025

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Quick Summary

We are seeking a Software Architect with expertise in distributed AI infrastructure and experience in building scalable and flexible AI models. The ideal candidate will have a strong background in computer science and experience with cloud computing and edge computing. The successful candidate will be responsible for designing and implementing AI solutions that meet the needs of our clients and drive business growth.

Job Description

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, TensorRT, 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, TensorRT, 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 face of challenges and setbacks, continually striving for excellence and improvement.

• Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.

Benefits:

• Competitive salary and performance-based incentives.

• Comprehensive health, dental, and vision benefits package.

• 401k Match

• $200/mos Health and Wellness Stipend

• $400/year Continuing Education Credit

• $500/year Function Health subscription (US-based only)

• Free parking, for in-office employees

• Unlimited Approved PTO

• Parental Leave for Eligible Employees

• Supplemental Life Insurance

webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

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