Job Description
Shape the technological landscape of 2026 by pioneering quantum-AI fusion systems at Nexus Labs. We're seeking visionary engineers to develop next-gen computational frameworks that will redefine industries. Join our cross-disciplinary team in a state-of-the-art San Francisco facility where your work directly impacts global innovation. This hybrid role offers unparalleled opportunities to collaborate with Nobel laureates and deploy solutions at the intersection of quantum mechanics and artificial intelligence.
Responsibilities
- Design and implement quantum neural network architectures for real-world applications
- Develop error-correction protocols for quantum-AI hybrid systems
- Lead prototyping of quantum-secure blockchain infrastructure
- Optimize quantum algorithms for commercial deployment by 2026
- Collaborate with computational biologists on protein folding simulations
- Author peer-reviewed publications on quantum machine learning advances
- Mentor junior researchers in quantum computing fundamentals
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- Expertise in Qiskit, Cirq, or comparable quantum programming frameworks
- Proven experience with machine learning at scale (TensorFlow/PyTorch)
- Publication record in quantum information science or AI
- Strong background in linear algebra and quantum mechanics
- Familiarity with NISQ-era hardware constraints and solutions
- Demonstrated ability to translate theoretical concepts to production systems