Job Description
We are pioneering the next generation of intelligent systems, aiming to redefine human-computer interaction by 2026. OmniFuture Systems is seeking a visionary Senior AI Architect to lead the architectural design of our proprietary neural network infrastructure and spatial computing interfaces.
In this role, you will bridge the gap between theoretical AI advancements and tangible user experiences. You will work in a high-performance environment where the future is built today. If you are passionate about pushing the boundaries of what is possible in 2026 and beyond, we want to hear from you.
Why Join Us?
- Work on cutting-edge projects that define the future of tech.
- Competitive compensation package with equity options.
- Flexible remote-first culture with hubs in Austin, TX.
Responsibilities
- Architect and deploy scalable, fault-tolerant AI models designed for high-throughput environments by 2026.
- Lead the integration of Natural Language Processing (NLP) and Computer Vision into spatial computing platforms.
- Collaborate with cross-functional teams of engineers, designers, and data scientists to translate business requirements into technical architectures.
- Optimize machine learning pipelines for edge devices and cloud deployment.
- Mentor junior engineers and establish best practices for AI development within the organization.
- Research and evaluate emerging technologies to ensure the company remains ahead of industry trends.
- Define the technical roadmap for AI infrastructure upgrades.
Qualifications
- Master’s degree in Computer Science, Mathematics, or a related field (PhD preferred).
- Minimum of 8 years of experience in software engineering and machine learning architecture.
- Deep expertise in Python, C++, and TensorFlow or PyTorch.
- Proven track record of designing systems that handle massive scale data processing.
- Experience with 3D graphics engines (Unreal Engine, Unity) and spatial computing (Apple Vision Pro, Meta Quest).
- Strong understanding of distributed systems, cloud architecture (AWS/Azure), and containerization (Docker/Kubernetes).
- Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.