Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Architect to design next-generation quantum systems that will redefine computational boundaries. This role offers the unique opportunity to shape the future of technology while working alongside Nobel Prize-winning researchers in our state-of-the-art Austin facility.
As a key member of our Quantum Research Division, you'll develop scalable quantum architectures, optimize qubit coherence times, and create hybrid classical-quantum frameworks. Our team operates at the intersection of theoretical physics and practical application, pushing the limits of what's computationally possible. We offer competitive equity packages, unlimited PTO, and a culture that celebrates bold innovation.
Responsibilities
- Design and implement scalable quantum computing architectures for enterprise applications
- Develop error correction protocols to enhance qubit stability and coherence times
- Create hybrid classical-quantum algorithms for optimization and simulation problems
- Collaborate with hardware engineers to integrate quantum processors with classical systems
- Lead research initiatives in quantum machine learning and cryptography
- Document quantum system specifications and performance benchmarks
- Mentor junior researchers in quantum computing principles and best practices
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
- 5+ years in quantum computing architecture or algorithm development
- Expertise in quantum error correction and fault-tolerant systems
- Proficiency with quantum programming languages (Q#, Qiskit, Cirq)
- Strong background in superconducting or trapped-ion quantum technologies
- Experience with high-performance computing and parallel processing
- Published research in peer-reviewed quantum computing journals
- Demonstrated ability to translate theoretical concepts into practical implementations