Job Description
Join Nexus Innovations at the forefront of 2026's technological revolution. We're pioneering quantum-resistant AI systems and autonomous infrastructure solutions that will redefine tomorrow. As an AI/ML Engineer, you'll architect cutting-edge neural networks while collaborating with Nobel laureates and industry disruptors. Our Austin hub offers unmatched resources—including a quantum computing sandbox and AR development labs—to transform theoretical concepts into real-world impact. This isn't just a role; it's your chance to shape the next decade of human-machine symbiosis.
Responsibilities
- Design and implement scalable machine learning pipelines for 2026's autonomous infrastructure ecosystems
- Develop quantum-resistant algorithms to secure next-generation AI systems
- Lead cross-functional teams in deploying AR/ML hybrid solutions for smart cities
- Optimize neural networks for edge computing in 5G/6G environments
- Architect federated learning frameworks for distributed IoT networks
- Research and prototype emergent AI paradigms (e.g., generative adversarial networks for synthetic data)
- Collaborate with quantum computing teams to develop hybrid AI models
Qualifications
- PhD or equivalent experience in Computer Science/AI with 5+ years in ML engineering
- Expertise in PyTorch/TensorFlow and distributed computing frameworks
- Published research in quantum machine learning or federated systems
- Proficiency in AR/ML integration and spatial computing SDKs
- Experience with 5G/6G edge computing architectures
- Strong background in ethical AI governance and bias mitigation
- Portfolio demonstrating deployment of ML models in production environments
- Certification in quantum computing fundamentals (IBM Qiskit preferred)