Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution! We're seeking a visionary Quantum Computing Research Scientist to architect next-gen quantum algorithms and pioneer breakthroughs in computational physics. You'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art Silicon Valley facility, where we're building the quantum infrastructure that will define the next decade. This role offers unparalleled resources, including access to IBM Quantum System Two and exclusive industry partnerships.
Our team operates at the intersection of theoretical physics and practical application, developing solutions for cryptography, materials science, and artificial intelligence. You'll contribute to projects that will shape how humanity processes information at the most fundamental level. We offer competitive equity packages, flexible hybrid work arrangements, and continuous learning opportunities through our Quantum Innovation Academy.
Responsibilities
- Design and implement novel quantum algorithms for optimization problems in logistics and financial modeling
- Lead research on quantum error correction protocols to enhance computational stability
- Collaborate with hardware engineers to develop quantum-resistant cryptographic systems
- Author peer-reviewed publications for Nature Physics and IEEE Quantum Journal
- Mentor junior researchers in quantum machine learning methodologies
- Secure $2M+ in annual research grants from NSF and DARPA programs
- Present findings at global quantum summits including Q2B and IEEE Quantum Week
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 5+ years of research experience
- Published work in top-tier quantum computing journals (Nature/Science/IEEE)
- Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
- Expertise in quantum error correction and fault-tolerant architectures
- Experience with quantum hardware platforms (IBM, Rigetti, or IonQ)
- Demonstrated ability to secure federal research funding
- Strong background in linear algebra and complex analysis
- Track record of translating theoretical concepts into practical applications