Job Description
Join Nexus Labs at the forefront of the 2026 Initiative – a groundbreaking project to develop autonomous AI systems for sustainable urban planning. We seek visionary researchers to architect the next generation of cognitive architectures that will redefine smart cities. This role offers unparalleled opportunities to publish breakthrough research and collaborate with Nobel laureates in our state-of-the-art facility overlooking the Bay.
Responsibilities
- Design and implement novel neural network architectures for spatial cognition systems
- Lead cross-functional teams in prototyping AI-driven urban simulation models
- Develop quantum-inspired algorithms for real-time resource optimization
- Secure $1M+ in annual research grants through NSF and DARPA proposals
- Author 4+ peer-reviewed publications in top-tier AI journals annually
- Mentor PhD candidates in transfer learning and federated systems
Qualifications
- PhD in Computer Science/AI with 3+ years of industry R&D experience
- Published record in NeurIPS/ICML with 50+ citations on key papers
- Expertise in PyTorch/TensorFlow with 100M+ parameter model deployments
- Proficiency in quantum computing frameworks (Qiskit, Cirq)
- Proven ability to secure federal research grants
- Portfolio of open-source contributions with 1k+ GitHub stars