Job Description
Join Nexus Future Labs at the forefront of 2026's AI revolution. We're seeking visionary researchers to pioneer breakthroughs in quantum machine learning and neural-network optimization. Our Austin hub combines cutting-edge infrastructure with collaborative innovation labs where you'll transform theoretical models into real-world applications that will define the next decade of technology.
We offer unparalleled resources, including access to our 500-qubit quantum computing cluster and partnerships with MIT's Future Tech Initiative. This is your chance to shape the intelligent systems that will power autonomous infrastructure, personalized healthcare, and sustainable energy solutions.
Responsibilities
- Design and implement novel neural architectures for 2026-era autonomous systems
- Lead quantum machine learning research initiatives with our proprietary computing cluster
- Collaborate with cross-functional teams to deploy AI solutions in IoT and robotics domains
- Publish breakthrough research in top-tier AI/ML conferences and journals
- Mentor junior researchers in emerging AI paradigms
- Develop ethical frameworks for next-generation AI decision-making systems
Qualifications
- PhD in Computer Science, AI, or related field with 3+ years industry experience
- Published research in quantum machine learning or advanced neural networks
- Expertise in PyTorch/TensorFlow and quantum computing frameworks (Qiskit/Cirq)
- Proven track record of deploying production-level AI systems at scale
- Strong background in distributed computing and high-performance optimization
- Deep understanding of ethical AI development and bias mitigation
- Experience with 2026-relevant technologies: neuromorphic chips, federated learning