Job Description
Are you ready to architect the future of intelligence?
2026 Systems is at the forefront of the next technological revolution. We are seeking a visionary Senior AI & Quantum Computing Engineer to lead our research division. You will be responsible for designing scalable, fault-tolerant systems that integrate classical machine learning with emerging quantum algorithms.
Join a team of elite engineers and researchers dedicated to solving humanity's most complex problems through advanced computation. If you thrive in a fast-paced, high-impact environment and want to define the standard for AI in the near future, this is your opportunity.
2026 Systems is at the forefront of the next technological revolution. We are seeking a visionary Senior AI & Quantum Computing Engineer to lead our research division. You will be responsible for designing scalable, fault-tolerant systems that integrate classical machine learning with emerging quantum algorithms.
Join a team of elite engineers and researchers dedicated to solving humanity's most complex problems through advanced computation. If you thrive in a fast-paced, high-impact environment and want to define the standard for AI in the near future, this is your opportunity.
Responsibilities
- Design and implement scalable architectures for hybrid classical-quantum AI systems.
- Lead the research and development of novel neural network models optimized for quantum hardware.
- Collaborate with cross-functional teams to integrate AI solutions into core product ecosystems.
- Mentor junior engineers and define technical best practices for the AI lab.
- Conduct rigorous testing and optimization to ensure system latency and accuracy targets are met.
- Stay ahead of industry trends in AI, Quantum Computing, and Edge Computing.
Qualifications
- Master’s or Ph.D. in Computer Science, Physics, or a related STEM field.
- 5+ years of experience in software engineering, with at least 2 years focused on AI/ML or Quantum Computing.
- Proficiency in Python, C++, and Rust.
- Deep understanding of TensorFlow, PyTorch, or similar ML frameworks.
- Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
- Strong problem-solving skills and ability to work in a highly collaborative, agile environment.