Job Description
Are you ready to define the technology landscape for the year 2026 and beyond? CyberCore Systems is seeking a visionary Lead Futurist Engineer to architect the next generation of intelligent systems.
In this high-impact role, you will bridge the gap between theoretical innovation and practical implementation. We are building the infrastructure for a future where AI and human cognition merge seamlessly. If you have a passion for long-term strategic planning and cutting-edge technology, this is your opportunity to lead the charge.
Why Join Us?
- Shape the roadmap for the next decade of technological evolution.
- Work with state-of-the-art AI and predictive modeling tools.
- Competitive compensation and equity packages.
- Flexible remote-first culture with a San Francisco hub.
Responsibilities
- Develop and execute the long-term technology roadmap for the 2026 vision, identifying emerging trends in AI and quantum computing.
- Lead the architecture and design of scalable, futuristic software systems that integrate advanced machine learning algorithms.
- Conduct deep-dive research and feasibility studies on emerging technologies to inform strategic decision-making.
- Collaborate with cross-functional teams to prototype and validate next-generation user experiences.
- Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
- Communicate complex technical concepts to non-technical stakeholders to drive buy-in for futuristic initiatives.
Qualifications
- Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- 10+ years of experience in software engineering, with at least 5 years in a leadership or architect role.
- Proven track record of leading large-scale technical projects and delivering innovative solutions.
- Deep expertise in Python, TensorFlow, PyTorch, and cloud architecture (AWS/Azure).
- Strong understanding of data structures, algorithms, and system design.
- Exceptional strategic thinking skills with the ability to translate high-level concepts into actionable engineering tasks.