Job Description
Join Nexus Future Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Architect to design next-generation systems that will redefine computational boundaries. In this pivotal role, you'll collaborate with Nobel laureates and industry disruptors to transform theoretical quantum mechanics into scalable, real-world applications. Our Austin campus offers unparalleled resources including a 100-qubit quantum processor and state-of-the-art cryogenic labs.
This position offers equity, unlimited PTO, and relocation assistance for exceptional candidates. You'll lead cross-functional teams in developing quantum algorithms for cryptography, drug discovery, and climate modeling while publishing breakthrough research in peer-reviewed journals. The ideal candidate thrives in ambiguity and possesses the rare ability to translate complex quantum principles into actionable engineering blueprints.
Responsibilities
- Design and implement scalable quantum computing architectures using superconducting qubits and photonic systems
- Develop error correction protocols for fault-tolerant quantum operations
- Create hybrid quantum-classical algorithms for enterprise applications
- Lead quantum security implementations for next-gen cryptography systems
- Mentor PhD researchers and publish 2+ annual papers in Nature/Science journals
- Secure $5M+ in quantum computing grants and partnerships
- Optimize quantum gate operations below 0.1% error rates
Qualifications
- PhD in Quantum Physics, Computer Science, or related field
- 5+ years experience in quantum algorithm development
- Expertise in Qiskit, Cirq, or similar quantum programming frameworks
- Proven track record of publishing in high-impact journals
- Experience with cryogenic engineering and quantum control systems
- Strong background in topological quantum computing
- Ability to secure federal research grants (NSF, DOE, DARPA)
- Proficiency in Python, C++, and quantum circuit optimization