Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer quantum-AI hybrid systems for 2026 and beyond. We're seeking visionary researchers to develop next-generation algorithms that merge quantum computing with artificial intelligence. You'll collaborate with world-class teams in our state-of-the-art San Francisco facility, working on projects that will redefine computational boundaries. This role offers unparalleled opportunities to publish groundbreaking research and contribute to humanity's most ambitious technological milestones.
Responsibilities
- Design and implement quantum machine learning algorithms for complex optimization problems
- Develop hybrid quantum-classical AI frameworks for real-world applications
- Lead research initiatives in quantum neural networks and quantum-enhanced deep learning
- Collaborate with hardware teams to prototype quantum-AI integration solutions
- Publish peer-reviewed research and present findings at international conferences
- Mentor junior researchers and drive cross-functional innovation
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics (or equivalent experience)
- Expertise in quantum algorithms and quantum circuit design
- Proficiency in Python with quantum computing frameworks (Qiskit, Cirq, or PennyLane)
- Strong background in machine learning and deep learning architectures
- Experience with high-performance computing and distributed systems
- Published research in quantum machine learning or related fields
- Proven ability to translate theoretical concepts into practical implementations