Job Description
Join Nexus Labs at the forefront of technological evolution as we architect the quantum-AI interface for 2026. This role demands a visionary who can merge quantum computing with artificial intelligence to solve humanity's most complex challenges. You'll lead the design of next-generation systems that redefine computational boundaries, working in our state-of-the-art facility in San Francisco's innovation corridor.
We offer unparalleled resources, including access to IBM Quantum and D-Wave systems, plus a culture where your breakthrough ideas become reality. Your work will directly impact fields from climate modeling to personalized medicine.
Responsibilities
- Design and implement quantum-AI hybrid architectures for 2026-era applications
- Lead research in quantum machine learning algorithms with 100+ qubit scalability
- Collaborate with Nobel laureates on quantum error correction protocols
- Develop patent-pending quantum neural network frameworks
- Present findings at IEEE Quantum Computing conferences
- Mentor a team of 5 quantum software engineers
- Secure $2M+ in quantum computing grants annually
Qualifications
- PhD in Quantum Computing, AI, or related field (or equivalent experience)
- 3+ years experience with quantum programming languages (Qiskit, Q#)
- Published research in Nature/Science on quantum algorithms
- Expertise in tensor networks and quantum circuit optimization
- Proficiency in Python, C++, and quantum assembly languages
- Deep understanding of quantum decoherence mitigation
- Track record of translating theory into production systems
- Security clearance for national quantum initiatives preferred