Job Description
We are seeking a visionary Principal AI Engineer to architect the technology stack of tomorrow. Join Nexus Future Labs in San Francisco and help us define the artificial intelligence systems that will power the digital landscape in 2026 and beyond.
As a key member of our elite R&D division, you will bridge the gap between theoretical quantum computing and practical, scalable AI applications. If you are driven by the unknown and are ready to build the systems of the future, this is your opportunity to lead.
Responsibilities
- Design and implement next-generation neural network architectures optimized for high-performance computing environments.
- Lead a cross-functional team of researchers and engineers in developing autonomous AI agents and predictive models.
- Optimize deep learning models for edge computing and quantum processors.
- Define the technical roadmap for our AI infrastructure, ensuring scalability, security, and future-proofing.
- Collaborate with product leaders to translate complex AI concepts into actionable product features.
- Conduct rigorous testing and validation of AI models against future-proof benchmarks.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related field.
- 8+ years of experience in machine learning, deep learning, or AI research.
- Proficiency in Python, PyTorch, and TensorFlow.
- Experience with quantum computing frameworks (Qiskit, Cirq) is highly desirable.
- Strong understanding of distributed systems and cloud architecture (AWS, GCP).
- Excellent problem-solving skills and ability to work in a fast-paced, innovative environment.