Job Description
Join Nexus Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI integration to solve humanity's most complex challenges. As our Quantum AI Research Lead, you'll architect next-gen algorithms that merge quantum computing with artificial intelligence, transforming industries from healthcare to climate modeling. This is your opportunity to shape the future of computational intelligence.
We offer competitive equity packages, unlimited R&D budget, and access to cutting-edge quantum hardware. Our interdisciplinary team of Nobel laureates and Silicon Valley veterans collaborates in state-of-the-art facilities overlooking the Bay.
Responsibilities
- Design and implement hybrid quantum-AI frameworks for real-world applications
- Lead cross-functional teams in developing quantum machine learning algorithms
- Collaborate with hardware teams to optimize quantum circuit architectures
- Publish breakthrough research in top-tier journals and conferences
- Secure federal and private research grants for frontier projects
- Mentor PhD researchers in quantum-computing methodologies
Qualifications
- PhD in Quantum Computing, AI, or related field with 5+ years industry experience
- Expertise in quantum algorithms (QAOA, VQE, Grover's variants)
- Proficiency in quantum programming languages (Qiskit, Cirq, Q#)
- Published record in quantum machine learning research
- Experience with cloud quantum platforms (IBM Q, Rigetti, Azure Quantum)
- Demonstrated ability to translate theoretical concepts into scalable solutions