Job Description
Join Nexus Innovations Inc. at the forefront of technological revolution as we pioneer quantum computing solutions that will redefine 2026 and beyond. Our multidisciplinary team in San Francisco is developing groundbreaking quantum algorithms and hardware to solve previously impossible computational challenges. As a Quantum Computing Research Scientist, you'll collaborate with Nobel Prize-winning physicists and AI visionaries to create the next generation of quantum systems that will transform industries from pharmaceuticals to finance.
We offer unparalleled resources, including access to our quantum lab with state-of-the-art cryogenic systems and a $50M research budget. Your work will directly contribute to breakthroughs in quantum supremacy, error correction, and quantum machine learning, positioning you at the epicenter of the quantum revolution.
Responsibilities
- Design and implement novel quantum algorithms for complex optimization and simulation problems
- Develop quantum error correction protocols to achieve fault-tolerant quantum computing
- Collaborate with hardware teams to improve qubit coherence times and gate fidelities
- Lead interdisciplinary research projects combining quantum computing with AI/ML frameworks
- Publish breakthrough research in top-tier journals (Nature, Science, Quantum)
- Secure competitive research grants and patents for quantum innovations
- Mentor junior researchers and contribute to quantum education initiatives
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (postdoc preferred)
- 3+ years of hands-on quantum algorithm development experience
- Expertise in quantum programming languages (Q#, Quil, or Qiskit)
- Strong background in quantum information theory and quantum mechanics
- Publication record in quantum computing research (arXiv, ACM, IEEE)
- Proficiency in high-performance computing environments (HPC, cloud quantum platforms)
- Experience with quantum hardware platforms (IBM Q, Rigetti, IonQ)
- Demonstrated ability to translate theoretical concepts into practical implementations