Job Description
We are on the brink of a technological renaissance. Nexus Horizon Labs is recruiting a visionary Senior AI Architect to lead Project 2026, our flagship initiative to deploy autonomous, quantum-ready neural networks by 2026.
In this role, you won't just build models; you will architect the future of synthetic intelligence. You will bridge the gap between theoretical quantum mechanics and practical deep learning, ensuring our systems are not only intelligent but scalable, secure, and ethically sound. Join a team of elite engineers and researchers dedicated to solving the world's most complex data problems.
Why Nexus Horizon?
- Work on cutting-edge technology that will define the next decade.
- Competitive compensation and equity packages.
- Flexible remote-first policy with premium office amenities in SF.
- Access to proprietary quantum computing resources.
Responsibilities
- Architect Next-Gen AI Systems: Design and implement scalable deep learning architectures capable of processing petabyte-scale datasets in real-time.
- Quantum Integration: Develop algorithms that seamlessly integrate classical AI with emerging quantum computing paradigms.
- Research & Development: Lead R&D efforts in Natural Language Processing (NLP) and Computer Vision, pushing the boundaries of what AI can perceive.
- Mentorship: Guide a high-performing team of junior engineers and data scientists, fostering a culture of innovation and continuous learning.
- Ethical AI Oversight: Implement robust governance frameworks to ensure AI outputs are fair, transparent, and unbiased.
- Technical Strategy: Define the technical roadmap for Project 2026, ensuring alignment with company-wide business goals.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Physics, Mathematics, or a related field.
- Experience: 8+ years of professional experience in AI/ML engineering, with at least 3 years in a senior leadership role.
- Technical Skills: Expert proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Spark).
- Quantum Knowledge: Familiarity with quantum computing libraries (Qiskit, Cirq) or a strong theoretical background in quantum mechanics.
- Problem Solving: Demonstrated ability to solve ambiguous, high-stakes technical problems with innovative solutions.
- Communication: Excellent verbal and written communication skills, capable of translating complex technical concepts to diverse stakeholders.