Job Description
Shape the future at Nexus Innovations – where tomorrow's technology takes flight today. We're seeking visionary AI Research Scientists to pioneer breakthroughs in quantum machine learning and autonomous systems for our 2026 roadmap. Join our elite team at the intersection of neuroscience and artificial intelligence, collaborating with Nobel laureates and Turing Award winners in our state-of-the-art research campus overlooking the Bay.
As a cornerstone of our Quantum AI Division, you'll develop novel architectures that transcend current computational paradigms. Your work will directly influence the next generation of ethical AI frameworks powering global healthcare, climate modeling, and space exploration initiatives. We offer unparalleled resources, including our 500-qubit quantum computing cluster and exclusive partnerships with NASA and CERN.
Responsibilities
- Lead research initiatives in quantum-enhanced neural networks and AGI safety protocols
- Design and implement novel algorithms for real-time multimodal data fusion across IoT ecosystems
- Collaborate with cross-disciplinary teams to deploy AI solutions in zero-gravity environments
- Author breakthrough publications in Nature AI and IEEE Quantum journals
- Develop ethical frameworks for autonomous decision-making in high-stakes domains
- Mentor postdoctoral researchers in quantum machine learning methodologies
- Secure $5M+ in government and industry research grants
Qualifications
- PhD in Computer Science, Quantum Physics, or Computational Neuroscience with 5+ years of industry experience
- Proven track record publishing top-tier AI research (NeurIPS, ICML, or equivalent)
- Expertise in quantum computing frameworks (Qiskit, Cirq) and neuromorphic engineering
- Proficiency in Python, TensorFlow Quantum, and distributed computing architectures
- Demonstrated experience leading international research consortia
- Security clearance or ability to obtain DoD Top Secret clearance
- Fluency in at least two quantum programming languages (Q#, Quipper)
- Published work on AI ethics in regulated industries (healthcare, aerospace)