Job Description
Are you ready to engineer the future?
FutureScale Technologies is pioneering the 2026 Era of technology, merging Artificial Intelligence with Quantum Computing to solve humanity's most complex challenges. We are seeking a visionary Senior AI & Quantum Computing Engineer to lead our R&D initiatives in San Francisco. If you are passionate about building scalable neural architectures and integrating quantum protocols into next-gen software, this is your opportunity to shape the technological landscape of tomorrow.
As a key member of our elite 2026 Architecture Team, you will be at the forefront of innovation, pushing the boundaries of what is possible in machine learning and computational physics.
Why Join Us?
- Work on cutting-edge projects that define the future of tech.
- Competitive compensation package with equity options.
- Flexible remote-first culture with a premium San Francisco hub.
- Access to state-of-the-art hardware and quantum simulators.
Responsibilities
- Architect Next-Gen Neural Networks: Design and implement scalable deep learning models capable of processing quantum-level data structures.
- Quantum Integration: Develop hybrid algorithms that seamlessly integrate classical AI with emerging quantum computing frameworks.
- R&D Leadership: Spearhead research projects focused on Neural Interfaces and Predictive Analytics for the 2026 roadmap.
- System Optimization: Optimize existing systems for high-performance computing (HPC) environments, ensuring low-latency processing.
- Collaboration: Partner with cross-functional teams of data scientists, physicists, and software engineers to deliver robust solutions.
- Mentorship: Guide junior engineers and provide technical leadership in code reviews and architectural discussions.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Physics, Mathematics, or a related field.
- Experience: 5+ years of professional experience in Artificial Intelligence, Machine Learning, or Quantum Computing.
- Technical Skills: Proficiency in Python, C++, and frameworks such as TensorFlow, PyTorch, and Qiskit.
- Problem Solving: Strong ability to solve complex algorithmic problems and optimize computational efficiency.
- Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to diverse audiences.
- Passion: Deep interest in the future of technology and the potential of AI to transform industries.