Job Description
Are you ready to define the technological landscape of 2026? Nebula Future Systems is at the forefront of the quantum revolution, and we are seeking a visionary Senior AI & Quantum Systems Architect to lead our R&D division in San Francisco. In this role, you will bridge the gap between classical machine learning and next-generation quantum computing to build scalable, high-performance systems for the enterprise.
We are looking for a thought leader who is not just familiar with current trends but is actively shaping the future of artificial intelligence. If you possess a deep understanding of algorithmic complexity and hardware-software integration, we want to hear from you.
Why Join Us?
- Work on cutting-edge projects that will define the industry standard for 2026.
- Competitive compensation and equity packages for top-tier talent.
- Flexible remote-first policies with a premium office in downtown SF.
Responsibilities
- Architect Solutions: Design and implement hybrid quantum-classical algorithms optimized for near-term quantum hardware (NISQ) and cloud-based AI infrastructure.
- R&D Leadership: Lead a team of brilliant engineers in exploring novel architectures for autonomous AI agents and deep reinforcement learning.
- System Optimization: Oversee the end-to-end optimization of data pipelines, ensuring low-latency processing and high-throughput model training.
- Technical Strategy: Define the technical roadmap for integrating quantum computing capabilities into existing enterprise software ecosystems.
- Prototyping: Build rapid prototypes to validate theoretical models before scaling them to production environments.
Qualifications
- Education: Master’s or PhD in Computer Science, Computational Physics, Mathematics, or a related technical field.
- Experience: Minimum of 5-7 years of experience in software engineering, with at least 2 years focused on AI/ML or Quantum Computing.
- Technical Skills: Proficiency in Python, C++, and Rust; strong knowledge of TensorFlow, PyTorch, and Qiskit or similar quantum SDKs.
- Problem Solving: Demonstrated ability to solve complex, non-trivial engineering problems and optimize systems for performance and scalability.
- Communication: Excellent verbal and written communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.