Job Description
Join the Vanguard of the Future
We are on a mission to redefine the boundaries of artificial intelligence and computational physics. Helix Dynamics is expanding its elite 2026 Division and is seeking a visionary Senior Quantum AI Architect to lead our R&D initiatives. If you possess a deep understanding of quantum mechanics and a passion for building scalable, next-gen neural architectures, we want to hear from you.
As a key architect, you will bridge the gap between theoretical quantum computing and practical, high-performance AI applications. You will work in a dynamic environment where code shapes the future of industry, finance, and healthcare.
Why Join Helix Dynamics?
- Work on cutting-edge technology that defines the next generation of computing.
- Competitive compensation and equity packages.
- Flexible remote-first culture with access to state-of-the-art labs in San Francisco.
- Professional development opportunities with global thought leaders.
Responsibilities
- Architectural Leadership: Design and implement scalable quantum-ready AI architectures that can handle complex, multi-variable data streams.
- R&D Strategy: Lead the research and development of novel algorithms that integrate quantum mechanics with deep learning models.
- System Optimization: Optimize existing codebases for quantum hardware environments, ensuring minimal latency and maximum throughput.
- Team Mentorship: Guide a team of junior developers and data scientists, fostering a culture of innovation and technical excellence.
- Collaboration: Partner with cross-functional teams including product managers, hardware engineers, and domain experts to translate business needs into technical solutions.
- Prototyping: Build rapid prototypes to validate theoretical concepts and demonstrate feasibility to stakeholders.
Qualifications
- Education: Master’s or PhD in Computer Science, Physics, Mathematics, or a related field with a focus on Quantum Computing or Artificial Intelligence.
- Experience: 5+ years of professional experience in software engineering, with at least 2 years specifically in quantum computing or advanced AI systems.
- Technical Skills: Proficiency in Python, C++, or Rust; experience with quantum SDKs (Qiskit, Cirq, or Azure Quantum); strong understanding of neural networks and optimization algorithms.
- Problem Solving: Demonstrated ability to solve complex, open-ended technical problems with creative and efficient solutions.
- Communication: Exceptional verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
- Adaptability: A proactive mindset and the ability to thrive in a fast-paced, ever-evolving technological landscape.