Job Description
We are Nexus Horizon Labs, a premier research organization defining the technological landscape for the year 2026 and beyond. We are seeking a visionary Senior AI & Quantum Architect to lead the development of our next-generation generative intelligence systems.
In this pivotal role, you will bridge the gap between theoretical quantum computing and practical, scalable artificial intelligence. You will architect the foundational models that will power our enterprise solutions, ensuring security, speed, and ethical integrity. If you are passionate about the future of computation and want to leave a legacy in the AI revolution, we want to hear from you.
Why Join Us?
• Work on cutting-edge technology for the 2026 release cycle.
• Competitive compensation and equity package.
• Flexible remote-first culture with premium office amenities in SF.
Responsibilities
- Lead Architecture Design: Spearhead the architectural design and implementation of large-scale AI and hybrid quantum systems for the 2026 product roadmap.
- Model Optimization: Develop and optimize neural network architectures to improve inference speed and accuracy in real-time environments.
- R&D Collaboration: Collaborate with a team of top-tier physicists and data scientists to integrate quantum algorithms into classical machine learning pipelines.
- System Security: Implement quantum-resistant encryption standards and robust ethical AI guardrails to protect user data.
- Talent Development: Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Performance Tuning: Monitor system performance, conduct load testing, and optimize resource allocation for scalability.
- Documentation: Create comprehensive technical documentation and whitepapers to communicate complex concepts to stakeholders.
Qualifications
- Education: Master’s or Ph.D. degree in Computer Science, Physics, Mathematics, or a related field with a focus on Artificial Intelligence or Quantum Computing.
- Experience: Minimum of 5 years of professional experience in software engineering, with at least 3 years specifically in AI/ML architecture.
- Technical Skills: Proficiency in Python, C++, and CUDA. Strong understanding of TensorFlow, PyTorch, and quantum computing frameworks (e.g., Qiskit, Cirq).
- Knowledge: Deep understanding of deep learning principles, transformer models, and quantum mechanics applications in computing.
- Soft Skills: Exceptional problem-solving abilities and the ability to communicate complex technical concepts to non-technical stakeholders.
- Leadership: Demonstrated experience leading cross-functional teams and managing technical projects from conception to deployment.
- Adaptability: Comfortable working in a fast-paced, experimental environment where standards are constantly evolving.