Job Description
Shape the future at Nexus Innovations, where we're pioneering quantum-AI fusion for 2026's breakthrough applications. We seek a visionary Quantum AI Research Scientist to develop next-gen algorithms that redefine computational boundaries. Join our elite team in San Francisco, collaborating with Nobel laureates and industry disruptors to solve humanity's most complex challenges. Your work will directly impact fields from climate modeling to personalized medicine.
We offer unparalleled resources, including dedicated quantum lab access, unlimited compute clusters, and a culture where 'impossible' is merely a starting point. Benefits include equity grants, relocation assistance, and flexible remote work options. If you're ready to accelerate the timeline to 2026's technological frontier, this is your moment.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era applications
- Lead cross-functional R&D teams in prototyping quantum-AI hybrid systems
- Develop novel error-correction protocols for fault-tolerant quantum computing
- Collaborate with hardware teams to optimize quantum-AI co-design architectures
- Publish breakthrough research in top-tier journals (Nature/Science/Quantum)
- Secure $2M+ in annual research grants through strategic partnerships
- Mentor PhD candidates in quantum-AI integration methodologies
- Translate theoretical advances into patentable commercial solutions
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics (or equivalent experience)
- 3+ years hands-on quantum algorithm development (Qiskit/Cirq required)
- Published research in quantum machine learning or quantum neural networks
- Expertise in high-dimensional quantum state manipulation and entanglement
- Proficiency in Python, TensorFlow/PyTorch, and quantum circuit optimization
- Demonstrated ability to secure federal/NSF research grants
- Experience with cryogenic quantum hardware interfaces (D-Wave/Rigetti)
- Strong background in topological quantum error correction codes