Job Description
We are building the infrastructure of tomorrow. OmniFuture Labs is seeking a visionary Senior AI & Quantum Systems Architect to lead our research into next-generation neural networks and quantum algorithm integration.
In this role, you won't just be maintaining systems; you will be architecting the future of computation. You will bridge the gap between classical machine learning and emerging quantum computing paradigms, ensuring our solutions are scalable, efficient, and ahead of the curve by 2026.
Why Join Us?
- Work on cutting-edge projects that define the technology of the future.
- Competitive compensation package with equity options.
- Flexible remote-first policy with a premium office in the heart of San Francisco.
If you are passionate about the convergence of AI, Quantum Mechanics, and Big Data, we want to hear from you.
Responsibilities
- Architect and design scalable high-performance computing systems integrating classical AI with quantum logic gates.
- Lead the research and development of novel neural network architectures optimized for future hardware constraints.
- Collaborate with cross-functional teams of physicists, data scientists, and software engineers to define technical roadmaps.
- Optimize inference engines to reduce latency in real-time quantum simulations.
- Mentor junior engineers and establish best practices for secure and efficient code deployment.
- Monitor system performance and drive continuous improvement in computational efficiency.
Qualifications
- Master’s or PhD in Computer Science, Physics, Mathematics, or a related technical field.
- Minimum of 5 years of professional experience in AI/ML engineering, preferably with exposure to quantum computing concepts (e.g., Qiskit, Cirq, or similar).
- Strong proficiency in Python, C++, and CUDA programming.
- Experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Demonstrated ability to solve complex, unstructured problems with elegant technical solutions.
- Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.