Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop next-gen algorithms and architectures that will redefine computational boundaries. In this pivotal role, you'll collaborate with Nobel laureates and industry disruptors to solve humanity's most complex challenges in cryptography, AI optimization, and material science. Our Austin campus features state-of-the-art quantum annealers and immersive research environments where innovation thrives. Enjoy competitive equity packages, unlimited R&D budgets, and the freedom to explore breakthrough concepts that will shape the next decade of technological advancement.
Responsibilities
- Design and implement quantum algorithms for practical applications in machine learning and cryptography
- Lead research initiatives to overcome quantum decoherence and error correction challenges
- Develop hybrid classical-quantum computing frameworks for enterprise solutions
- Collaborate with hardware teams to optimize quantum gate architectures
- Publish groundbreaking research in peer-reviewed journals and industry whitepapers
- Mentor junior researchers and foster cross-functional innovation
- Secure competitive research grants from NSF and DARPA programs
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent research experience)
- 3+ years of hands-on experience with quantum programming languages (Q#, Qiskit, Cirq)
- Published research in quantum error correction or topological quantum computing
- Expertise in quantum simulation frameworks and quantum circuit optimization
- Strong background in linear algebra, probability theory, and statistical mechanics
- Experience with superconducting qubit platforms or trapped ion systems
- Proven ability to translate theoretical concepts into practical implementations
- Excellent written and verbal communication skills for technical and non-technical audiences