Job Description
Are you ready to architect the future?
We are seeking a visionary Senior AI & Spatial Computing Architect to spearhead our breakthrough initiatives for the year 2026. At Nexus Horizon, we are not just building software; we are defining the digital infrastructure of tomorrow. In this pivotal role, you will bridge the gap between generative AI and immersive reality, creating seamless, intelligent experiences that transcend traditional screens.
As a key member of our elite R&D team, you will shape the roadmap for our flagship spatial computing platforms. You will be responsible for designing scalable neural architectures and ensuring our AI systems are robust, ethical, and ready for the demands of the metaverse. If you are driven by innovation and possess a deep understanding of cutting-edge AI technologies, this is your chance to leave a lasting impact on the industry.
Why Join Us?
- Work on the bleeding edge of technology (AI + Spatial Computing).
- Competitive compensation and equity package.
- Flexible remote-first culture with state-of-the-art equipment.
Apply today to build the future of 2026.
Responsibilities
- Architectural Leadership: Lead the end-to-end design of AI-driven spatial environments, ensuring high performance and scalability for global deployment.
- Roadmap Development: Define and execute the technical vision for our 2026 product line, integrating Generative Adversarial Networks (GANs) with spatial rendering engines.
- Model Optimization: Oversee the training, fine-tuning, and deployment of Large Language Models (LLMs) specifically optimized for real-time interaction in virtual spaces.
- Cross-Functional Collaboration: Partner with UX researchers and 3D artists to translate complex data into intuitive, immersive user interfaces.
- System Integration: Integrate third-party AI APIs and hardware sensors (VR/AR headsets) into our central processing ecosystem.
- Mentorship: Foster a culture of technical excellence by mentoring junior engineers and conducting code reviews.
- Compliance & Ethics: Establish protocols for AI bias mitigation and data privacy in accordance with emerging industry standards.
Qualifications
- Education: Master’s degree in Computer Science, Artificial Intelligence, Robotics, or a related field (PhD preferred).
- Experience: 8+ years of professional experience in software engineering, with at least 4 years specifically in AI/ML architecture and spatial computing.
- Technical Skills: Deep proficiency in Python, C++, and WebGL; hands-on experience with TensorFlow, PyTorch, or equivalent frameworks.
- Spatial Tech: Demonstrated experience with Unity 3D, Unreal Engine, or WebXR for building immersive applications.
- Problem Solving: Proven track record of solving complex architectural challenges in high-scale distributed systems.
- Communication: Exceptional ability to articulate complex technical concepts to non-technical stakeholders and executive leadership.