Job Description
Join Nexus Quantum Labs at the forefront of the 2026 quantum revolution. We're seeking visionary researchers to decode the universe's most complex computational challenges. As we stand on the precipice of quantum supremacy, your work will redefine cryptography, drug discovery, and artificial intelligence. Our state-of-the-art facility in San Francisco offers unparalleled resources to pioneer breakthroughs that will shape humanity's technological trajectory.
We provide a dynamic environment where Nobel-caliber ideas flourish, supported by industry-leading mentors and cross-disciplinary collaboration. Your quantum algorithms will power next-gen AI systems, while your research could unlock solutions to previously unsolvable problems. If you're ready to bend the fabric of computational possibility, this is your moment.
Responsibilities
- Design and implement quantum algorithms for optimization, simulation, and machine learning applications
- Develop novel quantum error correction protocols to overcome decoherence challenges
- Lead cross-functional teams integrating quantum-classical hybrid computing systems
- Collaborate with AI researchers to create quantum-enhanced neural network architectures
- Publish groundbreaking research in Nature, Science, and IEEE Quantum Journals
- Secure $5M+ in quantum computing grants from DARPA and NSF
- Mentor PhD candidates in quantum information theory
Qualifications
- PhD in Quantum Physics, Computer Science, or Electrical Engineering with 3+ years postdoc experience
- Expertise in quantum programming languages (Qiskit, Cirq, Q#) and quantum circuit optimization
- Published research in top-tier quantum computing journals (impact factor >10)
- Proficiency in quantum hardware architectures (superconducting qubits, trapped ions)
- Deep understanding of quantum machine learning frameworks and tensor networks
- Track record of securing federal quantum computing research funding
- Experience with high-performance computing clusters (HPC) and GPU acceleration