Job Description
Are you ready to define the technological landscape of the next decade? Project 2026 is seeking a visionary Lead AI & Quantum Systems Architect to spearhead our next-gen computational infrastructure. We are building the future of autonomous intelligence, bridging the gap between classical machine learning and quantum mechanics.
In this role, you will be at the forefront of innovation, designing scalable neural network architectures that operate at the edge of current scientific capability. You will lead a world-class team of engineers and researchers, ensuring our solutions are not only state-of-the-art but also commercially viable and secure.
Why join Project 2026?
- Work on cutting-edge technology that will define the 2026 era.
- Competitive compensation and equity packages.
- Flexible remote-first culture with a hub in San Francisco.
- Opportunity to shape the roadmap of AI evolution.
Join us in rewriting the code of reality.
Responsibilities
- Architectural Leadership: Design and implement scalable AI and quantum computing architectures that support complex, high-volume data processing.
- Algorithm Development: Develop novel quantum algorithms and optimize classical machine learning models for quantum hardware compatibility.
- Team Mentorship: Guide a diverse team of software engineers and data scientists, fostering a culture of technical excellence and innovation.
- R&D Strategy: Identify emerging trends in AI and quantum physics, evaluating their potential impact on Project 2026’s product roadmap.
- System Integration: Collaborate with cross-functional teams to integrate advanced AI models into production environments, ensuring high performance and low latency.
- Performance Optimization: Continuously monitor system performance, optimizing resource allocation and reducing computational bottlenecks.
Qualifications
- Education: Master’s or PhD degree in Computer Science, Physics, Applied Mathematics, or a related technical field.
- Experience: Minimum of 7 years of professional experience in software engineering, with at least 3 years leading AI or machine learning initiatives.
- Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and quantum computing frameworks such as Qiskit or Cirq.
- Problem Solving: Proven track record of solving complex, multi-dimensional problems with innovative technical solutions.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and leadership.
- Agile Experience: Strong experience working in Agile/Scrum environments and managing project lifecycles from conception to deployment.