Job Description
Welcome to the future of technology. Nexus Horizon Labs is seeking a visionary Senior AI & Quantum Architect to lead our research into the technological landscape of 2026. If you are passionate about pushing the boundaries of generative AI, quantum integration, and scalable neural networks, this is your opportunity to define the next era of computing.
As a key member of our R&D division, you will bridge the gap between theoretical quantum physics and practical, deployable AI systems. We are looking for a leader who can envision the infrastructure required for a post-silicon world and build it today.
Why Join Us?
- Work on cutting-edge projects that will shape the world in 2026 and beyond.
- Competitive compensation and equity packages.
- Flexible remote-first culture with state-of-the-art hubs in San Francisco.
- Opportunity to mentor the next generation of tech leaders.
Ready to architect the impossible? Apply today.
Responsibilities
- System Design: Architect scalable neural network architectures and quantum-ready computing frameworks designed for the year 2026 standards.
- Research Integration: Oversee the integration of emerging quantum algorithms into existing AI pipelines to enhance processing power and reduce latency.
- Team Leadership: Lead a multidisciplinary team of data scientists, quantum physicists, and software engineers to drive innovation.
- Performance Optimization: Continuously optimize deep learning models for edge devices and cloud infrastructure, ensuring real-time responsiveness.
- Future Roadmapping: Develop strategic roadmaps for AI adoption, anticipating technological shifts required by 2026 market demands.
Qualifications
- Education: Ph.D. in Computer Science, Mathematics, or a related field (or equivalent extensive experience in AI/Quantum fields).
- Experience: 5+ years of professional experience in machine learning engineering, deep learning, or quantum computing research.
- Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and familiarity with quantum computing libraries (Qiskit, Cirq).
- Soft Skills: Exceptional problem-solving abilities and the capacity to communicate complex technical concepts to non-technical stakeholders.
- Adaptability: Proven track record of adapting to rapidly evolving tech stacks and methodologies.