Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the next generation of quantum computing solutions. As a Quantum Computing Research Scientist, you will work in our state-of-the-art facility in San Francisco, collaborating with Nobel laureates and industry visionaries to develop algorithms that will redefine computational boundaries. We offer competitive equity packages, flexible work arrangements, and unparalleled opportunities to shape the quantum landscape of 2026 and beyond.
Our interdisciplinary team operates at the intersection of theoretical physics, advanced mathematics, and cutting-edge engineering. You'll have access to our proprietary quantum annealing systems and collaborate with partners at MIT, Stanford, and IBM Research. This role includes mentorship programs, conference sponsorships, and funding for patent filings.
We value radical innovation and intellectual curiosity above all else. If you're driven by solving unsolvable problems and pushing the limits of human knowledge, Nexus Quantum Labs is where your career will transcend.
Responsibilities
- Design and implement novel quantum algorithms for optimization, simulation, and cryptography
- Lead research in quantum error correction and fault-tolerant computing architectures
- Develop quantum machine learning frameworks for next-generation AI systems
- Collaborate with hardware teams to translate theoretical models into practical quantum circuits
- Publish breakthrough research in Nature Physics/Science and present at IEEE Quantum Week
- Secure $2M+ in government/industry grants for quantum computing initiatives
- Mentor PhD candidates and lead cross-functional quantum innovation sprints
Qualifications
- PhD in Quantum Physics, Computer Science, or Computational Mathematics
- 5+ years of hands-on quantum programming (Q#, Qiskit, Cirq)
- Published research in top-tier quantum computing journals/conferences
- Expertise in quantum annealing, superconducting qubits, or photonic systems
- Proficiency in high-performance computing (HPC) and GPU acceleration
- Experience with quantum machine learning frameworks (PennyLane, TensorFlow Quantum)
- Strong track record of securing research funding or industry partnerships