Job Description
Are you ready to architect the infrastructure for the year 2026? FutureCore Systems is seeking a visionary Senior AI & Quantum Systems Engineer to lead our next-generation computing initiatives. In this pivotal role, you will bridge the gap between classical machine learning and emerging quantum computing paradigms, solving problems that were once thought impossible.
As we approach the next decade of technological evolution, your expertise in scalable AI solutions and quantum integration will be pivotal in revolutionizing industries from healthcare to fintech. We offer a competitive compensation package, comprehensive benefits, and a chance to work at the absolute forefront of innovation.
Why Join Us?
- Work with state-of-the-art quantum hardware and generative AI models.
- Competitive equity package and 401(k) matching.
- Flexible remote and hybrid work options.
- Professional development budget for conferences and certifications.
Responsibilities
- Design and implement hybrid quantum-classical algorithms to solve complex optimization problems.
- Lead the development of scalable neural network architectures capable of handling massive 2026-scale data loads.
- Collaborate with cross-functional teams to integrate advanced AI models into real-time software ecosystems.
- Optimize existing machine learning pipelines for speed and accuracy using hardware acceleration.
- Conduct research on emerging AI trends, specifically focusing on Generative AI and Synthetic Data generation.
- Mentor junior engineers and establish coding standards for high-performance AI projects.
- Ensure the security and ethical use of AI systems in production environments.
Qualifications
- Ph.D. or Master's degree in Computer Science, Physics, Mathematics, or a related quantitative field.
- 5+ years of professional experience in Machine Learning, Deep Learning, or Artificial Intelligence.
- Proficiency in Python, C++, and quantum computing frameworks (e.g., Qiskit, Cirq, PennyLane).
- Deep understanding of neural networks, transformers, and natural language processing (NLP).
- Experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
- Strong problem-solving skills and the ability to work in a fast-paced, agile environment.
- Excellent communication skills and a passion for translating complex technical concepts.