Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing breakthroughs for 2026 and beyond. We're seeking visionary Quantum Computing Research Scientists to develop next-gen algorithms and systems that will redefine computational boundaries. Our state-of-the-art facility in San Francisco offers unparalleled resources to transform theoretical concepts into practical solutions.
As part of our elite Future Tech Division, you'll collaborate with Nobel laureates and industry pioneers to solve humanity's most complex challenges. We offer competitive compensation, cutting-edge resources, and a culture that celebrates intellectual curiosity and bold innovation.
Responsibilities
- Design and implement quantum algorithms for cryptography, optimization, and machine learning applications
- Lead experimental quantum computing projects using superconducting and photonic platforms
- Develop error correction protocols to achieve fault-tolerant quantum systems
- Collaborate with hardware teams to integrate quantum solutions with classical computing frameworks
- Publish breakthrough research in leading journals and present at international conferences
- Mentor junior researchers and drive innovation in quantum software development
- Secure and manage research partnerships with academic institutions and government agencies
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (or equivalent industry experience)
- 3+ years of hands-on quantum computing research with proven publications
- Expertise in quantum programming languages (Q#, Qiskit, Cirq) and quantum circuit design
- Strong background in quantum error correction and fault-tolerant architectures
- Experience with high-performance computing and parallel processing systems
- Demonstrated ability to translate theoretical concepts into experimental implementations
- Excellent communication skills with ability to articulate complex quantum concepts to diverse audiences
- Passion for solving 2026-era challenges in climate modeling, drug discovery, or AI optimization