Job Description
Are you ready to define the technological landscape of 2026?
Nexus Future Labs is seeking a visionary Senior AI Architect to lead our groundbreaking initiatives in Generative AI and Spatial Computing. We are not just building for today; we are engineering the future.
In this pivotal role, you will bridge the gap between theoretical AI advancements and practical, scalable applications that will redefine human-computer interaction. You will work at the intersection of deep learning, immersive graphics, and next-generation web technologies to create experiences that feel indistinguishable from reality.
Why Join Us?
- Work on cutting-edge R&D projects that set industry standards.
- Competitive compensation package with equity options.
- Flexible remote-first culture with state-of-the-art office facilities in San Francisco.
Responsibilities
- Architect and deploy scalable, high-performance AI models tailored for next-generation spatial interfaces.
- Lead a cross-functional team of engineers, designers, and researchers in the development of the 2026 product roadmap.
- Optimize neural networks and rendering pipelines for real-time performance and ultra-low latency.
- Define technical strategies for integrating Large Language Models (LLMs) with immersive 3D environments.
- Conduct rigorous research and prototyping to validate novel algorithms before full-scale implementation.
- Ensure system scalability, security, and ethical AI compliance across all deployed products.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field (PhD preferred).
- 10+ years of experience in software engineering, with at least 5 years focused on AI/ML and machine learning architecture.
- Deep expertise in Python, PyTorch, TensorFlow, and CUDA programming.
- Proven track record of leading complex technical projects from conception to production.
- Experience with spatial computing frameworks (e.g., WebXR, Three.js, Unreal Engine) is highly desirable.
- Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).