Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer quantum-AI fusion systems for 2026 and beyond. We're seeking visionary Quantum AI Research Engineers to architect next-gen computational paradigms that will redefine industry standards. Collaborate with Nobel laureates in our state-of-the-art San Francisco facility to develop hybrid quantum-neural architectures.
Our interdisciplinary team tackles humanity's grand challenges: climate modeling, drug discovery acceleration, and sustainable energy optimization. Enjoy unparalleled resources, unlimited R&D budget, and equity participation in a pre-IPO unicorn.
Responsibilities
- Design and implement quantum algorithms for machine learning acceleration
- Develop hybrid quantum-classical computing frameworks for real-world applications
- Lead cross-functional teams in prototyping quantum-AI integration solutions
- Publish breakthrough research in top-tier journals and conferences
- Collaborate with hardware teams to optimize quantum circuit architectures
- Secure $2M+ in annual research grants and patents
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years hands-on experience with quantum programming frameworks (Qiskit, Cirq)
- Expertise in machine learning frameworks (PyTorch/TensorFlow) with quantum extensions
- Publication record in quantum machine learning or related fields
- Proficiency in high-performance computing environments
- Deep understanding of quantum error correction and fault tolerance
- Strong background in algorithm complexity analysis