Job Description
At 2026 Systems, we are not just predicting the future; we are engineering it. We are building the foundational technologies that will define the next era of human-machine collaboration. We are seeking a world-class Senior AI & Quantum Architect to join our elite research division in San Francisco.
In this pivotal role, you will bridge the gap between theoretical quantum mechanics and practical, scalable AI applications. You will lead a team of brilliant minds in designing algorithms that solve complex problems currently deemed unsolvable by classical computing. If you are passionate about pushing the boundaries of what is possible and want to leave a legacy in the tech landscape of 2026 and beyond, we want to hear from you.
Why Join 2026 Systems?
- Impactful Work: Directly contribute to breakthrough technologies used globally.
- Future-Proof Career: Be at the forefront of the AI and Quantum revolution.
- Premium Compensation: Competitive salary and equity packages.
- Modern Environment: Flexible remote/hybrid work culture and top-tier equipment.
Responsibilities
- Architectural Leadership: Design and oversee the development of next-generation AI models integrated with quantum computing frameworks.
- R&D Strategy: Define the technical roadmap for 2026 Systems' AI initiatives, identifying emerging trends and opportunities.
- Team Mentorship: Mentor junior architects and data scientists, fostering a culture of innovation and technical excellence.
- System Optimization: Optimize large-scale neural networks for edge computing and quantum processors to ensure maximum efficiency.
- Collaboration: Partner with cross-functional teams, including product managers and security experts, to integrate AI solutions seamlessly.
- Presentation: Communicate complex technical concepts to stakeholders and non-technical audiences with clarity and precision.
Qualifications
- Education: Master’s or PhD in Computer Science, Physics, Mathematics, or a related field.
- Experience: 5+ years of professional experience in AI/ML engineering, with at least 2 years focused on quantum computing or advanced AI systems.
- Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and C++.
- Quantum Knowledge: Familiarity with quantum algorithms (Qiskit, Cirq) and quantum hardware architecture.
- Problem Solving: Demonstrated ability to solve complex, ambiguous problems with innovative technical solutions.
- Communication: Exceptional verbal and written communication skills in English.