Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum computing applications that will redefine industries—from drug discovery to climate modeling. As a Research Scientist, you'll collaborate with Nobel laureates and cutting-edge engineers to develop scalable quantum algorithms. Our state-of-the-art lab in San Francisco offers unparalleled resources, including access to IBM's quantum cloud network and custom-built cryogenic processors.
We value bold thinkers who thrive at the intersection of physics, computer science, and practical problem-solving. Your work will directly impact quantum supremacy milestones and commercialization of quantum-resistant cryptography. If you're passionate about solving humanity's greatest challenges with quantum-scale solutions, this is your moment.
Responsibilities
- Design and implement novel quantum algorithms for optimization and simulation problems
- Lead experimental validation of quantum circuits on superconducting and photonic platforms
- Develop error mitigation protocols for NISQ-era quantum processors
- Collaborate with cross-functional teams to translate theoretical models into real-world applications
- Publish high-impact research in peer-reviewed journals and leading conferences
- Secure research funding through NSF and DOE grant proposals
- Mentor junior researchers and contribute to quantum education initiatives
Qualifications
- PhD in Physics, Computer Science, or related field with quantum computing focus
- 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, or Q#)
- Published research in quantum information science or top-tier ML/AI conferences
- Expertise in quantum error correction and fault-tolerant architectures
- Strong background in linear algebra, probability theory, and statistical mechanics
- Proficiency in Python and high-performance computing environments
- Track record of translating complex concepts into executable experiments
- Security clearance eligibility for DoE projects (preferred)