Job Description
Join Nexus Future Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Researcher to architect the next generation of computational paradigms. In this role, you'll collaborate with Nobel laureates and industry disruptors to develop quantum algorithms that will redefine industries—from drug discovery to climate modeling. Our state-of-the-art facility in San Francisco provides unparalleled resources, including access to 128-qubit processors and dedicated quantum annealing hardware. We offer competitive equity packages, flexible remote work options, and a culture that celebrates intellectual curiosity.
As we approach the critical 2026 inflection point for quantum commercialization, your work will directly impact humanity's most pressing challenges. You'll lead breakthrough projects in quantum machine learning, quantum cryptography, and quantum error correction, publishing findings in Nature and Science. Our commitment to ethical innovation ensures your contributions align with global sustainability goals while pushing the boundaries of what's computationally possible.
Responsibilities
- Design and implement novel quantum algorithms for optimization, simulation, and machine learning applications
- Develop quantum error correction protocols to achieve fault-tolerant computation
- Lead research initiatives in quantum machine learning frameworks for 2026-era data challenges
- Collaborate with hardware teams to co-design quantum processors with integrated software stacks
- Secure competitive research funding through NSF and DARPA proposals
- Mentor postdoctoral researchers and publish 3+ high-impact papers annually
- Develop quantum security protocols for next-gen blockchain and encryption systems
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 5+ years of quantum research experience
- Expertise in quantum programming languages (Qiskit, Cirq, Q#) and quantum circuit optimization
- Proven track record of publishing in top-tier quantum computing journals
- Deep understanding of quantum algorithms (Shor's, Grover's, VQE, QAOA)
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
- Strong background in machine learning and classical computational complexity
- Demonstrated ability to lead cross-functional research teams