Job Description
Join Nexus Innovations at the forefront of technological evolution. We're pioneering quantum-AI hybrid systems to solve humanity's greatest challenges by 2026. This role offers unparalleled opportunities to collaborate with Nobel laureates and industry disruptors in our state-of-the-art Silicon Valley campus. You'll develop next-gen algorithms that will redefine computing paradigms and accelerate breakthroughs in drug discovery, climate modeling, and autonomous systems.
We provide competitive equity packages, unlimited learning stipends, and flexible work arrangements to fuel your innovation. Our culture celebrates intellectual curiosity and embraces failure as a catalyst for discovery.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era computational challenges
- Lead cross-functional teams in developing hybrid quantum-classical neural networks
- Publish breakthrough research in top-tier journals and industry whitepapers
- Collaborate with hardware teams to optimize quantum processor performance
- Develop ethical frameworks for AI-quantum integration and deployment
- Mentor junior researchers and contribute to patent portfolios
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics (or equivalent experience)
- 3+ years of hands-on quantum algorithm development experience
- Proficiency in quantum programming languages (Qiskit, Cirq, or PennyLane)
- Published research in quantum machine learning or related fields
- Expertise in high-performance computing environments
- Strong understanding of quantum error correction and fault tolerance
- Experience with large-scale AI model training and optimization