Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI integration to solve humanity's greatest challenges. As a Quantum AI Research Scientist, you'll architect next-generation algorithms that redefine machine learning, cryptography, and computational physics. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical concepts into real-world breakthroughs. Collaborate with Nobel laureates and disruptors who are actively shaping the future of human-machine symbiosis. This isn't just a role—it's your chance to leave a legacy in the quantum age.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era computational paradigms
- Lead cross-functional teams in developing quantum-resistant encryption systems
- Publish groundbreaking research in peer-reviewed journals and industry conferences
- Optimize quantum circuit architectures for AI training acceleration
- Collaborate with hardware teams to prototype quantum-AI hybrid systems
- Mentor junior researchers in quantum computing best practices
- Secure $5M+ in research grants for cutting-edge projects
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics
- 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, or Q#)
- Published research in Nature/Science or equivalent tier journals
- Expertise in Python, TensorFlow/PyTorch, and low-level quantum simulators
- Proven track record of securing federal or corporate research grants
- Deep understanding of quantum error correction and fault tolerance
- Experience with distributed quantum computing architectures
- Strong background in theoretical computer science or applied mathematics