Job Description
Are you ready to architect the technological future?
NeoTech Dynamics is pioneering the next era of artificial intelligence and quantum computing, specifically targeting the advanced standards required for 2026 and beyond. We are seeking a visionary Senior AI & Quantum Systems Engineer to join our elite R&D team in San Francisco. In this pivotal role, you will bridge the gap between classical machine learning and quantum mechanics, ensuring our solutions are scalable, secure, and future-proof.
As we prepare for the global rollout of our flagship quantum processors, you will be responsible for designing the algorithms that will power autonomous systems, high-frequency trading, and advanced cybersecurity frameworks. If you are passionate about pushing the boundaries of what is possible and want to define the infrastructure of tomorrow, apply today.
Responsibilities
- Design, develop, and optimize hybrid quantum-classical algorithms to solve complex computational problems.
- Lead the architecture of scalable neural network models tailored for edge computing and distributed systems.
- Collaborate with cross-functional teams (hardware engineers, data scientists, and product managers) to define the 2026 technical roadmap.
- Conduct rigorous testing and validation of AI models to ensure accuracy, speed, and reliability under high load.
- Mentor junior engineers and conduct code reviews to maintain high engineering standards across the organization.
- Stay abreast of the latest advancements in quantum hardware, AI ethics, and regulatory compliance to ensure our technology remains cutting-edge.
Qualifications
- Master’s or PhD in Computer Science, Physics, Mathematics, or a related technical field.
- Minimum of 5 years of professional experience in software engineering, with at least 2 years focused on AI/ML or Quantum Computing.
- Proficiency in Python, C++, and TensorFlow or PyTorch.
- Hands-on experience with quantum computing frameworks such as Qiskit, Cirq, or PennyLane.
- Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.