Job Description
Join Nexus Innovations Inc. at the forefront of 2026's technological revolution! We're pioneering quantum-AI integration to solve humanity's greatest challenges. As a Quantum AI Research Scientist, you'll architect next-gen algorithms that bridge quantum computing and machine learning, pushing boundaries in cryptography, drug discovery, and climate modeling. Our state-of-the-art San Francisco lab offers unparalleled resources, including 512-qubit processors and real-time neural interfaces. This role empowers you to publish groundbreaking research, mentor future innovators, and shape the quantum-AI landscape for decades to come. If you thrive at the intersection of theoretical physics and applied AI, this is your opportunity to define tomorrow's reality.
Responsibilities
- Design and implement quantum machine learning algorithms for complex optimization problems
- Develop hybrid quantum-classical neural networks using TensorFlow Quantum and Qiskit
- Lead cross-functional teams in prototyping quantum-AI solutions for healthcare and energy sectors
- Author peer-reviewed publications in Nature/Science journals and present at IEEE Quantum Week
- Collaborate with hardware engineers to co-design quantum processors optimized for AI workloads
- Secure $5M+ in research grants from NSF, DARPA, and industry consortiums
- Mentor PhD candidates and interns in quantum-AI methodologies and ethical frameworks
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics (or equivalent experience)
- 3+ years hands-on experience with quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Published research in quantum machine learning or quantum neural networks
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing environments
- Demonstrated ability to secure federal or corporate R&D funding
- Deep understanding of quantum error correction and fault-tolerant architectures
- Strong background in ethical AI development and quantum security protocols
- Experience mentoring research scientists and leading technical teams