Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer quantum-AI hybrid systems for the 2026 horizon. We're seeking a visionary research scientist to architect next-generation algorithms that will redefine computational boundaries. In our state-of-the-art San Francisco lab, you'll collaborate with Nobel laureates and industry disruptors to develop solutions for climate modeling, drug discovery, and autonomous systems. This isn't just research—it's about building the infrastructure for humanity's next leap forward. We offer competitive equity packages, unlimited R&D budgets, and unparalleled opportunities to publish breakthrough findings.
Responsibilities
- Design and implement quantum machine learning algorithms leveraging Qiskit and Cirq frameworks
- Lead cross-functional teams to integrate quantum processors with classical AI architectures
- Develop novel optimization techniques for quantum neural networks
- Secure $2M+ in research grants through NSF and DARPA proposals
- Author 3+ peer-reviewed publications in Nature/Science by 2026
- Mentor PhD candidates in quantum-computing bootcamps
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Machine Learning (or equivalent breakthrough portfolio)
- Published research in top-tier journals (Nature, PRL, NeurIPS)
- Expertise in quantum error correction and fault-tolerant systems
- Proficiency with Python, TensorFlow, and quantum simulators
- Track record of translating theoretical models to hardware implementations
- Experience with high-performance computing clusters (HPC)