Job Description
We are pioneering the next generation of Project 2026—a revolutionary paradigm shift in autonomous intelligence and quantum-ready computing. If you are a visionary engineer who refuses to settle for incremental improvements, we want you to build the backbone of our neural infrastructure.
At FutureScale, we aren't just writing code; we are architecting the future. You will lead a high-performance team in designing scalable AI systems that integrate seamlessly with next-gen hardware. This is an opportunity to define the standard for 2026 and beyond.
Why join us?
- Impact: Work on systems that will redefine human-computer interaction.
- Compensation: Competitive base salary plus equity package.
- Environment: Collaborative, forward-thinking culture in the heart of SF.
Responsibilities
- Design and implement scalable, high-performance AI architectures for the Project 2026 ecosystem.
- Lead a cross-functional team of data scientists, engineers, and quantum researchers.
- Optimize machine learning models for low-latency, high-throughput environments.
- Establish best practices for code quality, CI/CD pipelines, and system reliability.
- Collaborate with product managers to translate complex requirements into technical roadmaps.
- Stay ahead of emerging technologies in AI, quantum computing, and edge processing.
Qualifications
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, or a related technical field.
- 10+ years of experience in software engineering, with at least 5 years in leading AI/ML architecture.
- Expert proficiency in Python, C++, and TensorFlow or PyTorch.
- Experience with quantum computing frameworks (e.g., Qiskit, Cirq) or a strong interest in their practical application.
- Proven track record of deploying production-grade ML systems at scale.
- Strong leadership skills with the ability to mentor and inspire high-performing teams.