Job Description
Join Nexus Innovations at the forefront of 2026's technological revolution. We're seeking a pioneering Quantum AI Research Scientist to architect the next generation of hybrid quantum-classical systems. As a key member of our Future Technologies division, you'll collaborate with Nobel laureates and industry disruptors to solve humanity's most complex challenges—from climate modeling to personalized medicine. Our state-of-the-art lab in San Francisco offers unparalleled resources, including 128-qubit quantum processors and exascale computing clusters. Enjoy comprehensive benefits, flexible work arrangements, and equity in a unicorn-valued startup.
Responsibilities
- Design and implement novel quantum algorithms for machine learning applications
- Lead cross-functional teams to develop hybrid quantum-classical AI frameworks
- Author groundbreaking research for peer-reviewed publications and industry conferences
- Optimize quantum circuits for real-world problem-solving in finance, healthcare, and logistics
- Mentor junior researchers and establish best practices for quantum software development
- Secure federal grants and industry partnerships for advanced research initiatives
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 3+ years post-grad research
- Expertise in quantum programming languages (Q#, Qiskit, Cirq) and error correction techniques
- Published work in top-tier journals (Nature, Science, IEEE) on quantum machine learning
- Proficiency in Python, TensorFlow/PyTorch, and high-performance computing environments
- Experience with cloud-based quantum platforms (IBM Quantum, Amazon Braket)
- Strong background in linear algebra, probability theory, and complex systems
- Track record of securing research funding ($500k+ preferred)