Job Description
Join Nexus Labs 2026 at the forefront of technological revolution. We're pioneering quantum AI systems that will redefine human-machine collaboration by 2026. As a Quantum AI Research Scientist, you'll architect next-gen algorithms at the intersection of quantum computing, neural networks, and predictive analytics. Our Austin R&D center offers cutting-edge resources and a culture of fearless innovation. Shape the future of artificial intelligence in an environment where your breakthroughs become industry benchmarks.
Responsibilities
- Design and implement quantum machine learning algorithms for complex system optimization
- Lead cross-functional teams to prototype AI solutions for 2026 market readiness
- Develop predictive models using quantum-enhanced neural networks
- Collaborate with hardware engineers to optimize quantum-AI hybrid architectures
- Research novel applications of quantum computing in autonomous systems
- Secure research grants and publish breakthrough findings in top-tier journals
- Mentor junior scientists in emerging quantum-AI methodologies
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics
- 3+ years of hands-on quantum algorithm development experience
- Published research in quantum machine learning or quantum neural networks
- Proficiency in quantum programming frameworks (Qiskit, Cirq, or Pennylane)
- Deep understanding of quantum error correction and fault tolerance
- Expertise in Python/C++ with high-performance computing optimization
- Track record of translating theoretical concepts into working prototypes
- Strong background in Bayesian inference and probabilistic modeling