Job Description
Join Nexus Labs at the forefront of 2026's technological revolution as we pioneer quantum-AI convergence. We're seeking visionary researchers to develop next-generation computational frameworks that will redefine artificial intelligence. Our state-of-the-art facility in San Francisco's tech hub offers unparalleled resources to accelerate breakthroughs in quantum machine learning.
This role offers competitive equity packages, flexible work arrangements, and collaboration with Nobel laureates. You'll contribute to projects with potential applications in drug discovery, climate modeling, and autonomous systems.
Responsibilities
- Design and implement quantum neural network architectures
- Develop hybrid quantum-classical algorithms for AI optimization
- Lead experimental validation of quantum supremacy in ML tasks
- Collaborate with hardware teams to optimize quantum circuit implementations
- Publish breakthrough research in top-tier scientific journals
- Secure research grants from NSF and DARPA initiatives
- Mentor junior researchers in quantum computing methodologies
Qualifications
- PhD in Quantum Physics, Computer Science, or related field
- 3+ years of experience in quantum algorithm development
- Proficiency with Qiskit, Cirq, or similar quantum frameworks
- Publication record in Nature/Science or equivalent journals
- Expertise in tensor networks and quantum error correction
- Strong background in deep learning architectures
- Experience with high-performance computing environments
- US citizenship or permanent residency required