Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing breakthroughs for 2026 and beyond. We're seeking visionary Quantum Computing Research Scientists to develop next-gen algorithms, optimize quantum systems, and solve previously unsolvable computational challenges. Our state-of-the-art facility in San Francisco offers unparalleled resources and a collaborative environment where your innovations will shape the future of computing.
At Nexus Labs, we believe quantum technology will revolutionize fields from cryptography to AI. You'll work alongside Nobel laureates and industry pioneers in an agile, R&D-driven culture that values creativity and intellectual rigor. We offer competitive equity packages, flexible work arrangements, and dedicated time for experimentation and discovery.
Responsibilities
- Design and implement novel quantum algorithms for optimization, simulation, and machine learning applications
- Develop error-correction protocols and quantum system architectures to enhance computational stability
- Collaborate with hardware engineers to integrate quantum processors with classical computing frameworks
- Lead cross-functional research initiatives to solve complex problems in cryptography and materials science
- Publish findings in top-tier journals and present at international quantum computing conferences
- Mentor junior researchers and drive innovation through internal hackathons and R&D sprints
Qualifications
- PhD in Quantum Computing, Physics, Mathematics, or Computer Science with 3+ years of research experience
- Expertise in quantum programming languages (Q#, Qiskit, Cirq) and quantum circuit optimization
- Strong publication record in quantum information science or related fields
- Proficiency with high-performance computing environments and parallel programming
- Deep understanding of quantum mechanics principles and quantum error correction
- Experience with machine learning frameworks and their quantum adaptations
- Proven ability to translate theoretical concepts into practical implementations