Job Description
Are you ready to define the landscape of 2026? FutureScale Technologies is seeking a visionary Senior AI & Quantum Systems Architect to lead the integration of next-generation artificial intelligence and quantum computing into our core infrastructure. As we accelerate towards a future where intelligence is ubiquitous, you will be at the forefront of building the systems that will power the world's most complex challenges.
About the Role
In this pivotal role, you will bridge the gap between theoretical quantum mechanics and practical, scalable AI applications. You will architect hybrid systems that leverage the processing power of quantum computing to solve problems currently deemed unsolvable by classical machines. If you are passionate about the singularity and want to leave a legacy in the tech of tomorrow, join our elite team.
Why Join Us?
- Work on projects that define the technological roadmap for 2026 and beyond.
- Competitive equity package and top-tier benefits.
- Access to state-of-the-art quantum hardware and research facilities.
Responsibilities
- Architect Hybrid Systems: Design and deploy scalable AI models integrated with quantum processing units (QPUs) to solve complex optimization and machine learning problems.
- Model Training & Optimization: Lead the end-to-end lifecycle of training, fine-tuning, and optimizing neural networks using hybrid quantum-classical algorithms.
- Research & Development: Stay at the bleeding edge of industry trends, actively researching emerging quantum computing frameworks and AI methodologies to drive innovation.
- Technical Leadership: Mentor a team of junior engineers and data scientists, fostering a culture of technical excellence and forward-thinking problem-solving.
- System Integration: Collaborate with cross-functional teams to seamlessly integrate quantum solutions into existing cloud and on-premise architectures.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related field with a focus on AI/Quantum Computing.
- Experience: 5+ years of experience in software engineering, machine learning, or systems architecture.
- Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and experience with quantum computing libraries such as Qiskit, Cirq, or PennyLane.
- Algorithm Knowledge: Deep understanding of quantum algorithms (e.g., QAOA, VQE) and their application to real-world AI use cases.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and leadership.