Job Description
Join Nexus Innovations at the forefront of quantum-AI convergence to architect the technological landscape of 2026. We seek a visionary Research Lead to pioneer breakthroughs in quantum machine learning, transforming industries from healthcare to climate modeling. This role offers unparalleled opportunity to shape humanity's digital future while collaborating with Nobel laureates and industry pioneers in our state-of-the-art San Francisco lab.
As a key architect of our 2026 roadmap, you'll drive quantum-AI integration projects that will redefine computational boundaries. Your work will directly impact our portfolio of next-generation solutions including quantum-encrypted neural networks and autonomous quantum computing systems.
Responsibilities
- Lead cross-functional teams in developing quantum-AI hybrid architectures for 2026 deployment
- Design and execute research protocols for quantum machine learning algorithms
- Collaborate with hardware teams to optimize quantum processors for AI workloads
- Author whitepapers and patents on quantum-AI convergence methodologies
- Mentor junior researchers and establish best practices in quantum-AI ethics
- Present findings at premier conferences including IEEE Quantum Week and NeurIPS
- Secure $5M+ in research grants through compelling proposals
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics with 5+ years industry experience
- Published research in top-tier journals (Nature, Science, IEEE) on quantum-AI integration
- Proficiency in quantum programming languages (Qiskit, Cirq) and AI frameworks (PyTorch)
- Experience securing federal research grants (NSF, DARPA) or venture funding
- Deep understanding of quantum error correction and fault-tolerant computing
- Proven track record of translating theoretical research into commercial products
- Expertise in ethical AI frameworks and quantum security protocols