Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution! We're seeking visionary Quantum AI Research Engineers to pioneer the next generation of hybrid quantum-neural systems. In this role, you'll develop groundbreaking algorithms that merge quantum computing with machine learning to solve previously unsolvable challenges in cryptography, materials science, and computational biology. Our state-of-the-art facility in San Francisco offers unparalleled resources for experimentation and collaboration with Nobel laureates and industry pioneers.
We offer competitive equity packages, flexible work arrangements, and access to our exclusive Quantum Research Academy. Help shape humanity's technological future while working on projects that will redefine the boundaries of computation.
Responsibilities
- Design and implement novel quantum machine learning algorithms for real-world applications
- Develop hybrid quantum-classical computing architectures for enterprise-scale problems
- Lead cross-functional teams of physicists, AI specialists, and software engineers
- Publish breakthrough research in top-tier journals and conferences
- Optimize quantum error correction protocols for commercial viability
- Collaborate with Fortune 500 partners on industry-specific quantum solutions
- Secure and manage quantum computing resources in cloud environments
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 3+ years industry experience
- Expertise in quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Proficiency in Python, TensorFlow/PyTorch, and low-level quantum assembly
- Published research in quantum machine learning or quantum information theory
- Deep understanding of quantum entanglement and decoherence mitigation
- Experience with quantum hardware providers (IBM Quantum, Rigetti, IonQ)
- Strong background in distributed systems and high-performance computing