Job Description
Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to decode the mysteries of quantum mechanics and transform theoretical possibilities into groundbreaking applications. This role offers unparalleled access to our state-of-the-art quantum processors and collaborative environment with Nobel laureates and industry pioneers. You'll shape the future of computational science while contributing to breakthroughs in cryptography, drug discovery, and artificial intelligence.
Why Nexus Quantum Labs? Our Austin campus features the world's most advanced quantum annealing arrays and offers competitive equity packages, flexible remote options, and dedicated innovation time. We foster a culture where curiosity meets purpose, and your work directly impacts humanity's technological horizon.
Responsibilities
- Design and execute quantum algorithms on superconducting quantum processors to solve complex optimization problems
- Develop error-correction protocols for 100+ qubit systems to achieve quantum advantage
- Collaborate with hardware engineers to calibrate quantum gate operations and improve coherence times
- Publish high-impact research in Nature/Science journals and present findings at quantum computing conferences
- Mentor junior researchers and lead cross-functional teams on quantum application development
- Secure government and industry partnerships for quantum computing initiatives
- Contribute to open-source quantum programming frameworks and contribute to quantum standards
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 3+ years of quantum research experience
- Published record in quantum algorithm development or quantum error correction
- Proficiency in quantum programming languages (Qiskit, Cirq, Q#) and high-performance computing environments
- Demonstrated ability to work with cryogenic quantum systems and microwave control electronics
- Strong background in linear algebra, quantum information theory, and computational complexity
- Experience securing federal research grants (DARPA, NSF, DOE) or industry partnerships
- Expertise in machine learning applications for quantum system optimization