Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We seek a visionary Quantum Computing Architect to design next-gen quantum systems that will redefine industries. This role demands a blend of deep technical expertise and strategic innovation to solve complex computational challenges in cryptography, AI, and materials science.
Our ideal candidate thrives in a collaborative environment where cutting-edge research meets real-world application. You'll work alongside Nobel laureates and AI pioneers to architect scalable quantum architectures while mentoring the next generation of quantum engineers. If you're passionate about shaping the computational landscape of tomorrow, this is your moment.
Responsibilities
- Design and implement fault-tolerant quantum computing architectures for enterprise-scale applications
- Develop quantum algorithms optimized for NISQ-era hardware and future quantum advantage systems
- Lead cross-functional teams in integrating quantum solutions with classical HPC infrastructure
- Establish quantum security protocols for next-gen cryptographic systems
- Drive research in quantum machine learning applications for autonomous systems
- Collaborate with hardware teams to define quantum processor specifications and error correction frameworks
- Present quantum computing roadmaps to C-suite executives and industry partners
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 5+ years industry experience
- Expertise in quantum algorithm design (Shor's, Grover's, VQE) and quantum error correction
- Proven track record of architecting large-scale distributed quantum systems
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq) and simulation frameworks
- Deep understanding of quantum hardware limitations and co-design principles
- Published research in top-tier quantum computing journals or conferences
- Experience mentoring quantum research teams and driving technical roadmaps
- Strong background in machine learning and high-performance computing