Job Description
Are you ready to architect the systems of tomorrow? Nexus Horizon Labs is seeking a visionary Senior AI Architect to spearhead our 2026 R&D initiatives. We are building the next generation of neural interfaces and predictive generative models, and we need a technical leader who can bridge the gap between theoretical AI breakthroughs and scalable production systems.
In this role, you won't just be maintaining legacy systems; you will be defining the architecture for the future of human-computer interaction. You will work at the intersection of deep learning, quantum computing simulation, and real-time data processing.
Why Join Us?
- Work on cutting-edge technology that defines the 2026 era.
- Competitive salary and equity package.
- Flexible remote-first culture with a state-of-the-art office in SF.
Responsibilities
- Design and implement scalable, high-performance neural network architectures tailored for next-generation predictive analytics.
- Lead the integration of quantum algorithm simulations into existing deep learning pipelines.
- Mentor a team of brilliant engineers and researchers, fostering a culture of innovation and technical excellence.
- Collaborate with product managers to translate complex 2026 roadmaps into technical realities.
- Optimize model inference speed and reduce latency for edge-device deployment.
- Conduct rigorous code reviews and establish architectural standards for the engineering department.
- Stay ahead of industry trends, evaluating new frameworks like TensorFlow 3.0 and PyTorch Evolution.
Qualifications
- PhD or Master's degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- Minimum of 8 years of experience in machine learning engineering, with at least 3 years in a senior leadership role.
- Expert proficiency in Python, C++, and CUDA programming.
- Deep understanding of Transformer models, GANs, and Reinforcement Learning.
- Experience with cloud infrastructure (AWS/Azure) and containerization (Docker/Kubernetes).
- Strong grasp of data ethics, bias mitigation, and responsible AI governance.
- Exceptional problem-solving skills and the ability to thrive in a fast-paced, agile environment.