Job Description
Join Nexus Quantum Dynamics at the forefront of technological revolution as a Quantum Computing Research Scientist. We're pioneering the next generation of quantum systems that will redefine computing capabilities by 2026. In this pivotal role, you'll collaborate with Nobel laureates and industry disruptors to develop scalable quantum algorithms, optimize qubit stability, and solve previously insurmountable computational challenges. Our state-of-the-art lab in San Francisco offers unparalleled resources, including access to 128-qubit processors and cryogenic testing environments.
We value intellectual curiosity and collaborative innovation. You'll lead cross-functional teams in translating theoretical breakthroughs into practical applications for cryptography, drug discovery, and AI optimization. Your work will directly contribute to our mission of achieving quantum advantage in real-world systems by 2026.
Responsibilities
- Design and implement novel quantum algorithms for optimization and machine learning applications
- Develop error-correction protocols to achieve fault-tolerant quantum computation
- Lead experimental validation of quantum hardware prototypes at cryogenic temperatures
- Collaborate with semiconductor engineers to optimize qubit fabrication processes
- Publish breakthrough research in Nature/Science journals and present at IEEE Quantum Week
- Mentor PhD candidates in quantum information science and supervise lab operations
- Secure $2M+ in annual research grants from NSF and DARPA programs
Qualifications
- PhD in Quantum Physics, Computer Science, or Electrical Engineering with 3+ years postdoc experience
- Published research in top-tier journals on quantum error correction or topological qubits
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq) and classical HPC frameworks
- Expertise in quantum circuit design and quantum machine learning architectures
- Experience with cryogenic systems and quantum control hardware (e.g., Lakeshore, Zurich Instruments)
- Track record of securing federal research grants or industry partnerships
- Strong background in linear algebra, group theory, and statistical mechanics