Job Description
Join Nexus Futures Inc. at the forefront of 2026's technological revolution. We're pioneering quantum-AI hybrid systems that will redefine computational boundaries. As a Quantum AI Researcher, you'll develop next-gen algorithms merging quantum mechanics with machine learning, solving previously unsolvable problems in cryptography, materials science, and climate modeling.
Why Nexus Futures? Our state-of-the-art lab in San Francisco offers unparalleled resources, including 128-qubit quantum processors and a collaborative environment where your breakthroughs will shape humanity's digital future. We offer competitive equity packages, flexible work arrangements, and opportunities to publish in top-tier journals.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Collaborate with cross-functional teams to integrate quantum solutions into existing AI frameworks
- Lead research on quantum error correction and fault-tolerant computing systems
- Develop novel optimization techniques leveraging quantum annealing and gate-based models
- Publish peer-reviewed papers and present findings at international conferences
- Mentor junior researchers and contribute to open-source quantum development tools
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of hands-on experience with quantum programming (Qiskit, Cirq, or similar)
- Deep understanding of quantum algorithms (Shor's, Grover's, VQE) and quantum circuit design
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Publication record in quantum computing or quantum machine learning
- Strong analytical skills with ability to translate theoretical concepts into practical implementations
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)