Job Description
Shape the future of technology in 2026 as a Quantum Computing Research Scientist at Nexus Labs. Join our pioneering team developing revolutionary quantum algorithms that will redefine computational boundaries. This role offers unparalleled access to cutting-edge quantum hardware and collaborative opportunities with Nobel laureates and industry visionaries. We're seeking innovators who thrive at the intersection of physics, computer science, and mathematics to solve humanity's most complex challenges.
Our San Francisco campus features state-of-the-art quantum annealing systems and cryogenic computing facilities. You'll work on projects ranging from quantum cryptography optimization to molecular simulation for drug discovery, with direct impact on real-world applications. We offer competitive equity packages, flexible research budgets, and dedicated time for academic publication.
Responsibilities
- Design and implement novel quantum algorithms for optimization, simulation, and cryptography
- Develop error correction protocols for fault-tolerant quantum systems
- Collaborate with hardware teams to optimize quantum circuit performance
- Lead cross-functional projects integrating quantum-classical hybrid systems
- Publish research in top-tier journals and present at international conferences
- Secure external funding through NSF and DARPA grant applications
- Mentor junior researchers and develop quantum computing curriculum
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 3+ years research experience
- Expertise in quantum programming languages (Qiskit, Cirq, or Quipper)
- Published research in quantum information theory or quantum algorithms
- Hands-on experience with quantum hardware platforms (IBM Q, Rigetti, or IonQ)
- Strong background in linear algebra, probability theory, and statistical mechanics
- Proven ability to translate complex quantum concepts into practical solutions
- Experience securing government or corporate research funding
- Proficiency in Python, C++, and high-performance computing frameworks