Job Description
Shape the Future with Project 2026
Nexus Horizon Labs is pioneering the next era of cognitive computing. We are looking for a visionary Senior AI Architect to lead the architecture and development of our flagship Project 2026 initiative—a breakthrough in autonomous decision-making systems.
As a key member of our elite R&D division, you will define the technical roadmap for scalable, high-performance neural networks. This is not just a job; it is an opportunity to solve humanity's most complex problems using state-of-the-art artificial intelligence.
What You Will Do:
- Architect and optimize large-scale distributed AI systems capable of processing petabytes of data.
- Drive innovation in Generative Adversarial Networks (GANs) and Transformer models.
- Collaborate with cross-functional teams to translate research concepts into production-ready software.
- Ensure the security, ethics, and robustness of AI models deployed in mission-critical environments.
- Establish best practices for code quality, testing, and deployment pipelines.
Who You Are:
- A Master’s or PhD degree in Computer Science, Mathematics, or a related technical field.
- 10+ years of experience in software engineering, with 5+ years specifically in AI/ML architecture.
- Deep expertise in Python, PyTorch, TensorFlow, and CUDA.
- Strong background in cloud infrastructure (AWS, GCP, or Azure) and containerization (Kubernetes, Docker).
- A passion for solving unsolved problems and a commitment to responsible AI development.
Perks & Benefits:
- Competitive salary and equity package.
- Unlimited PTO and comprehensive health benefits.
- Access to cutting-edge hardware and computing resources.
- Flexible remote-first work culture.
Responsibilities
- Design and implement scalable AI infrastructure for Project 2026.
- Lead the research and integration of advanced deep learning algorithms.
- Mentor junior engineers and conduct code reviews.
- Optimize model performance and reduce inference latency.
- Partner with product managers to define technical requirements.
Qualifications
- 10+ years of software engineering experience.
- 5+ years of experience in Machine Learning and Deep Learning architecture.
- PhD or Master’s in a technical field.
- Expert proficiency in Python and ML frameworks.
- Experience with distributed systems and cloud computing.