Job Description
Join NexGen Labs at the forefront of technological revolution as we pioneer quantum computing breakthroughs that will redefine 2026 and beyond. We seek a visionary Quantum Computing Research Scientist to develop cutting-edge algorithms and solve complex computational challenges that were once deemed impossible. This role offers unparalleled opportunities to shape the future of AI, cryptography, and material science in a collaborative, state-of-the-art environment.
Our ideal candidate thrives at the intersection of theoretical physics and practical application, pushing the boundaries of quantum supremacy. You will work alongside Nobel laureates and industry disruptors in our downtown San Francisco lab, equipped with quantum processors and AI-driven modeling tools. Enjoy comprehensive benefits including equity, wellness stipends, and flexible hybrid work arrangements.
Responsibilities
- Design and implement novel quantum algorithms for machine learning optimization and cryptography
- Collaborate with hardware teams to mitigate quantum decoherence and error correction
- Lead open-source contributions to quantum programming frameworks (Qiskit, Cirq)
- Publish breakthrough research in Nature/Science journals and present at IEEE conferences
- Develop predictive models for quantum advantage in pharmaceutical discovery
- Mentor junior researchers and cross-functional AI/ML teams
- Secure $5M+ in DARPA/NSF grants for quantum computing initiatives
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 3+ years industry experience
- Proven expertise in quantum error correction and fault-tolerant architectures
- Published research in quantum machine learning or topological quantum computing
- Proficiency in quantum programming languages (Q#, Quipper) and Python frameworks
- Experience with superconducting qubit platforms or ion-trap systems
- Strong track record of translating theoretical models into experimental prototypes
- Ability to secure government grants and lead multi-disciplinary teams