Job Description
We are seeking a visionary Lead AI & Quantum Architect to spearhead our initiatives for the 2026 technological horizon. As we stand on the precipice of the next industrial revolution, we are building a resilient, scalable, and future-proof infrastructure that integrates advanced Artificial Intelligence with emerging quantum computing paradigms.
In this role, you will bridge the gap between theoretical future-state technologies and current production-grade engineering. You will define the architectural standards for our next-gen data pipelines, ensuring our systems are not just ready for 2026, but are leading the charge. If you are a forward-thinking engineer who thrives in ambiguity and is obsessed with scalability, this is your opportunity to shape the future.
Why Join Us?
- Work with state-of-the-art AI and quantum integration frameworks.
- Competitive compensation package with equity options.
- Remote-first culture with a hub in the heart of San Francisco.
- Pioneering the technology stack for the 2026 era.
Responsibilities
- Architect Future-Proof Systems: Design and implement scalable distributed systems architecture capable of handling exabyte-scale data streams and hybrid quantum-classical workloads.
- Lead AI Integration: Spearhead the integration of Large Language Models (LLMs) and generative AI agents into core business logic with a focus on security and efficiency.
- Quantum-Ready Protocols: Develop and optimize algorithms that prepare our current infrastructure for future quantum supremacy, focusing on error correction and qubit mapping.
- Technical Mentorship: Mentor a team of senior engineers and data scientists, fostering a culture of innovation and continuous learning.
- Performance Optimization: Drive continuous performance improvements in latency and throughput for our global API endpoints.
- Roadmap Planning: Define the technical roadmap for the 2026 transition, identifying critical technologies and potential risks.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field (or equivalent practical experience).
- Experience: 8+ years of experience in software engineering, with at least 3 years in a Lead Architect or Principal Engineer role.
- Core Stack: Deep expertise in Python, Rust, and Kubernetes. Familiarity with CUDA or similar GPU acceleration frameworks.
- AI Mastery: Proven track record of deploying production-grade machine learning models and LLMs.
- Quantum Knowledge: Understanding of quantum computing concepts (Qiskit, Cirq, or similar) and post-quantum cryptography.
- Problem Solving: Exceptional ability to solve complex, unstructured problems in high-stakes environments.