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 an innovative Quantum Computing Research Scientist to develop next-gen algorithms and systems that will redefine computational boundaries. In this role, you'll collaborate with Nobel laureates and industry pioneers to solve humanity's most complex challenges—from climate modeling to drug discovery. Our state-of-the-art facilities in San Francisco's innovation district offer unparalleled resources and a culture that celebrates bold ideas.
As a key architect of tomorrow's technology stack, you'll work with cutting-edge quantum hardware and software platforms, publishing breakthrough research that shapes global tech policy. We provide competitive compensation, equity packages, and flexible work arrangements designed for peak productivity. If you're driven to transform theoretical possibilities into tangible solutions, this is your moment.
Responsibilities
- Design and implement novel quantum algorithms for optimization and machine learning applications
- Develop error-correction protocols for fault-tolerant quantum systems
- Collaborate with hardware teams to integrate quantum solutions with classical architectures
- Lead research initiatives in quantum cryptography and secure communication protocols
- Publish findings in peer-reviewed journals and present at global conferences
- Mentor junior researchers and contribute to quantum education initiatives
- Secure external funding through government and industry partnerships
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 3+ years research experience
- Expertise in quantum programming languages (Qiskit, Cirq, Q#) and simulation frameworks
- Proven track record of publishing in Nature/Science journals or top-tier conferences
- Deep understanding of quantum error correction and fault-tolerant architectures
- Experience with high-performance computing and parallel processing systems
- Strong background in machine learning and statistical analysis
- Ability to translate complex concepts for technical and non-technical stakeholders