Job Description
We are looking for visionary engineers to build the technological infrastructure for the year 2026 and beyond. At Nexus Future Systems, we are pioneering the intersection of Generative AI and Quantum Computing.
The Opportunity:
As a 2026 Integration Engineer, you will be at the forefront of innovation, designing systems that are not just functional today, but scalable and intelligent for the future. You will work on cutting-edge projects that redefine human-computer interaction.
Responsibilities
- Design and implement next-generation neural network architectures optimized for the 2026 computing landscape.
- Lead the integration of quantum algorithms into classical machine learning pipelines.
- Optimize deep learning frameworks for real-time, high-volume data processing.
- Mentor junior engineers and establish best practices for scalable AI deployment.
- Research and prototype emerging technologies in synthetic intelligence.
Qualifications
- PhD or Master’s degree in Computer Science, Physics, or a related technical field.
- Minimum of 5 years of experience in AI/ML engineering or software development.
- Proficiency in Python, C++, and major ML frameworks (TensorFlow, PyTorch).
- Strong understanding of cloud infrastructure (AWS, GCP) and containerization (Docker/Kubernetes).
- Experience with distributed systems and high-performance computing.