Job Description
Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing breakthroughs for 2026 and beyond. We're seeking a brilliant Quantum Computing Research Scientist to develop next-gen algorithms and solve previously unsolvable computational challenges. This role offers unparalleled opportunities to shape the future of artificial intelligence, cryptography, and materials science while collaborating with Nobel laureates and industry disruptors. Our Austin campus features state-of-the-art quantum labs and flexible hybrid work arrangements. If you're passionate about pushing the boundaries of physics and computer science, this is your moment to redefine what's possible.
Responsibilities
- Design and implement novel quantum algorithms for optimization, machine learning, and simulation applications
- Lead research initiatives in quantum error correction and fault-tolerant computing systems
- Collaborate with hardware teams to develop quantum-classical hybrid computing frameworks
- Publish groundbreaking research in peer-reviewed journals and industry conferences
- Drive intellectual property strategy through patent development and technology licensing
- Mentor junior researchers and cross-functional teams on quantum computing principles
- Secure and manage research grants from NSF, DARPA, and private foundations
- Develop roadmaps for practical quantum computing applications in finance and biotech sectors
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 3+ years research experience
- Expertise in quantum programming languages (Q#, Qiskit, Cirq) and quantum circuit design
- Proven track record of publishing in Nature/Science or top-tier conferences (QIP, IEEE Quantum)
- Deep understanding of quantum decoherence, entanglement, and measurement theory
- Experience with superconducting, trapped-ion, or photonic quantum computing platforms
- Strong background in linear algebra, probability theory, and computational complexity
- Proficiency in high-performance computing environments and parallel programming
- Demonstrated ability to translate theoretical concepts into practical implementations