Job Description
Are you ready to architect the technology landscape of 2026? 2026 Future Tech is seeking a visionary Senior AI & Quantum Engineer to lead our next-generation research division in San Francisco. We are building the infrastructure that will define the era of autonomous systems and quantum-assisted machine learning.
In this role, you will bridge the gap between classical deep learning and future-proof quantum computing architectures, ensuring our platforms remain at the bleeding edge of innovation.
Responsibilities
- Architect and deploy scalable neural network models optimized for edge computing and quantum processors.
- Lead research initiatives in Generative AI, NLP, and Reinforcement Learning to drive product innovation.
- Collaborate with cross-functional teams of data scientists, quantum physicists, and software engineers.
- Optimize model latency and reduce computational overhead for real-time applications.
- Mentor junior engineers and establish best practices for AI model governance and deployment.
- Publish research papers and contribute to open-source communities in the AI/Quantum space.
Qualifications
- Master’s or PhD degree in Computer Science, Mathematics, Physics, or a related technical field.
- 5+ years of professional experience in Machine Learning, Deep Learning, or AI research.
- Proficiency in Python, C++, and frameworks such as PyTorch or TensorFlow.
- Strong background in linear algebra, calculus, and statistics.
- Familiarity with quantum computing concepts (Qiskit, Cirq) or cloud AI services (AWS SageMaker, GCP AI).
- Exceptional problem-solving skills and ability to thrive in a fast-paced, high-impact environment.