Job Description
Join our pioneering team at NexGen Labs to shape the future of quantum computing. We're seeking a visionary Quantum Computing Researcher to lead breakthrough projects in quantum algorithms and hardware optimization for 2026 and beyond. This role offers unparalleled opportunities to collaborate with Nobel laureates and publish in top-tier journals while contributing to technologies that will redefine global industries.
Our state-of-the-art facility in San Francisco provides access to quantum processors, AI-driven simulation tools, and a multidisciplinary environment where your ideas can transform theoretical concepts into practical applications. We offer competitive compensation, flexible work arrangements, and comprehensive benefits including equity in a rapidly growing tech leader.
Responsibilities
- Design and implement novel quantum algorithms for optimization and machine learning applications
- Collaborate with hardware teams to develop error-correction protocols for next-gen quantum processors
- Lead research initiatives focusing on quantum supremacy milestones for 2026
- Publish findings in leading scientific journals and present at international conferences
- Mentor junior researchers and cross-functional teams on quantum computing principles
- Secure research funding through NSF grants and industry partnerships
- Develop patentable quantum computing methodologies with commercial applications
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 3+ years of research experience
- Published work in Nature/Science or equivalent peer-reviewed journals
- Expertise in quantum programming languages (Q#, Qiskit, Cirq) and quantum simulation tools
- Deep understanding of quantum error correction and fault-tolerant architectures
- Strong background in machine learning and optimization algorithms
- Experience with high-performance computing and parallel processing
- Track record of securing research funding or industry collaborations
- Excellent written and verbal communication skills for technical audiences