Job Description
Join Nexus Labs at the forefront of quantum innovation as we pioneer the next frontier of computational technology. We're seeking a visionary Quantum Computing Researcher to architect breakthrough solutions for 2026 and beyond. This role offers unparalleled access to cutting-edge quantum hardware, collaborative research environments, and the opportunity to shape the future of computing. Our team operates at the intersection of physics, computer science, and AI development, pushing boundaries in quantum algorithms and error correction.
Located in San Francisco's vibrant tech ecosystem, you'll collaborate with Nobel laureates, industry pioneers, and emerging talent. We offer competitive compensation, flexible work arrangements, and a commitment to professional growth through our Quantum Leadership Academy. Your work will directly impact industries from pharmaceuticals to cryptography, solving problems once deemed impossible.
Responsibilities
- Design and implement novel quantum algorithms for complex computational challenges
- Lead quantum error correction protocol development for scalable quantum systems
- Collaborate with hardware teams to optimize quantum gate operations and coherence times
- Develop hybrid quantum-classical machine learning frameworks for 2026 applications
- Publish breakthrough research in peer-reviewed journals and industry conferences
- Mentor junior researchers in quantum theory and experimental methodologies
- Secure and manage research partnerships with academic institutions and quantum startups
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (or equivalent industry experience)
- 3+ years hands-on experience with quantum programming languages (Qiskit, Cirq, Q#)
- Published research in quantum algorithms or quantum error correction
- Expertise in quantum circuit design and quantum simulation techniques
- Strong background in linear algebra, probability theory, and computational complexity
- Experience with high-performance computing environments and parallel processing
- Proven track record of translating theoretical concepts into practical implementations