Job Description
Join Nexus Innovations at the forefront of technological revolution as we build the quantum AI infrastructure that will define 2026. We're seeking a visionary Quantum AI Systems Architect to design next-generation computational frameworks that merge quantum computing with artificial intelligence. This role offers unparalleled opportunity to shape the future of human-machine interaction, working with Nobel Prize-winning researchers and deploying solutions that solve humanity's most complex challenges.
Our San Francisco hub provides cutting-edge laboratories, competitive equity packages, and a culture that thrives on intellectual curiosity. You'll lead projects that transform industries from healthcare to climate modeling, operating at the intersection of theoretical physics and practical application.
Responsibilities
- Design scalable quantum AI architectures leveraging qubit entanglement and machine learning integration
- Develop hybrid quantum-classical computing pipelines for real-time data processing
- Lead cross-functional teams in implementing fault-tolerant quantum error correction protocols
- Architect secure quantum communication networks resistant to decryption
- Create optimization algorithms for quantum annealing in complex system simulations
- Develop ethical frameworks for autonomous quantum decision-making systems
- Collaborate with research institutions to publish breakthrough findings in Nature/Science
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 5+ years industry experience
- Expertise in quantum algorithms (Shor's, Grover's, QAOA) and quantum machine learning
- Proficiency in quantum programming languages (Qiskit, Cirq, Quil)
- Published research in quantum error correction or quantum neural networks
- Experience with high-performance computing frameworks (TensorFlow Quantum, PennyLane)
- Strong background in cryptography and quantum security protocols
- Demonstrated ability to lead complex technical projects with $10M+ budgets
- Patents or peer-reviewed publications in quantum/AI fields preferred