Job Description
Join Nexus Labs at the forefront of 2026's technological revolution as we pioneer quantum-AI hybrid systems. Our multidisciplinary team is developing next-gen computational frameworks to solve humanity's most complex challenges. This role offers unparalleled opportunity to shape the future of artificial intelligence while working in our state-of-the-art research facility overlooking the Bay.
We offer competitive equity packages, flexible remote options, and exclusive access to our annual FutureTech Summit. Candidates will collaborate with Nobel laureates and industry disruptors to transform theoretical breakthroughs into practical applications.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world optimization problems
- Lead cross-functional teams in developing hybrid quantum-classical neural networks
- Publish groundbreaking research in top-tier journals and industry conferences
- Collaborate with hardware engineers to prototype quantum computing architectures
- Develop ethical frameworks for responsible AI deployment in quantum systems
- Mentor junior researchers and drive innovation through weekly hackathons
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years of practical experience with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Expertise in machine learning architectures (transformers, GANs, reinforcement learning)
- Published research in quantum information science or AI/ML conferences
- Strong proficiency in Python/C++ with high-performance computing optimization
- Demonstrated ability to secure research funding or patents in emerging technologies