Job Description
Are you ready to define the next generation of intelligent systems? 2026 Technologies is pioneering the frontier of artificial general intelligence and quantum computing. We are seeking a visionary Senior AI & Quantum Architect to lead our research division in San Francisco.
In this role, you won't just be writing code; you will be architecting the fundamental logic that drives the future of human-machine interaction. If you thrive in a high-performance environment and are obsessed with pushing the boundaries of what's possible in 2026 and beyond, we want to hear from you.
Why Join Us?
- Equity Package: Competitive stock options in a unicorn startup.
- Flexible Environment: Hybrid work model in the heart of the Bay Area.
- Impact: Work on projects that will define the technology landscape for the next decade.
Responsibilities
- Design and implement scalable neural network architectures optimized for quantum processing units (QPUs).
- Lead the research and development of next-generation Large Language Models (LLMs) with a focus on reasoning and memory.
- Collaborate with cross-functional teams of physicists, software engineers, and product designers to translate theoretical models into production-ready APIs.
- Optimize algorithmic performance, reducing computational complexity by 40%+ in simulation environments.
- Establish best practices for ethical AI governance and bias mitigation in training datasets.
- Mentor junior engineers and conduct technical architecture reviews to ensure code quality and scalability.
Qualifications
- Master’s or PhD in Computer Science, Physics, Mathematics, or a related field (5+ years of experience).
- Deep expertise in Python, C++, and Rust, with practical experience in frameworks like PyTorch and TensorFlow.
- Proven track record of deploying machine learning models into high-traffic production environments.
- Experience with quantum computing libraries (Qiskit, Cirq) or an understanding of quantum algorithms (Grover's, Shor's).
- Strong understanding of distributed systems, cloud infrastructure (AWS/GCP), and containerization (Docker/Kubernetes).
- Excellent communication skills, capable of explaining complex technical concepts to non-technical stakeholders.