Job Description
Are you ready to architect the infrastructure of tomorrow? Future Systems Inc. is pioneering the next generation of Artificial General Intelligence (AGI) and Quantum Computing integration. We are seeking a visionary Senior AI & Quantum Architect to lead our R&D division in San Francisco.
In this pivotal role, you will bridge the gap between classical machine learning and quantum algorithms, designing systems that are scalable, secure, and revolutionary. You will define the technical roadmap for our 2026 product line, ensuring we stay ahead of the curve in a rapidly evolving technological landscape.
Why Join Us?
- Work on high-impact projects that define the future of human-computer interaction.
- Competitive compensation package with equity options.
- Access to state-of-the-art quantum hardware and neural processing units.
Ready to Shape the Future? Apply today to become a part of the Future Systems team.
Responsibilities
- Design and implement hybrid neural network architectures that leverage both classical and quantum computing paradigms.
- Lead the research and development of novel algorithms optimized for post-2025 hardware environments.
- Define technical standards and best practices for AI model deployment at scale.
- Collaborate with cross-functional teams of data scientists, quantum physicists, and software engineers.
- Mentor junior engineers and architects, fostering a culture of innovation and continuous learning.
- Ensure system scalability, security, and low-latency performance for real-time applications.
- Conduct rigorous testing and validation of AI models in simulated 2026+ environments.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, Physics, or a related field with a focus on AI or Quantum Mechanics.
- Minimum of 5+ years of experience in designing large-scale machine learning systems or quantum software stacks.
- Proficiency in Python, C++, and specialized quantum programming languages (e.g., Qiskit, Cirq).
- Deep understanding of deep learning frameworks (TensorFlow, PyTorch) and their hardware acceleration capabilities.
- Experience with cloud infrastructure (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).
- Strong problem-solving skills with the ability to navigate ambiguity and complex technical challenges.
- Excellent verbal and written communication skills for technical stakeholder management.