Job Description
Are you ready to define the trajectory of technology for the 2026 era? OmniFuture Technologies is seeking a visionary Lead Architect to spearhead our next-generation Neural-Quantum interface projects. We are not just building software; we are architecting the future of human-machine symbiosis and scalable AI infrastructures.
In this pivotal role, you will bridge the gap between theoretical AI capabilities and practical, high-performance engineering. You will lead a team of elite engineers in deploying models that require zero-latency processing across distributed quantum networks.
Why join us?
- Work on projects that define the standard for 2026 and beyond.
- Competitive equity and a top-tier benefits package.
- Access to state-of-the-art hardware and research labs.
Responsibilities
- Design and implement scalable AI/Quantum hybrid architectures that process billions of data points in real-time.
- Lead a team of 10+ engineers in pushing the boundaries of Large Language Models (LLMs) and generative AI.
- Optimize neural network inference for edge devices and next-gen processors.
- Define technical roadmaps and architectural standards aligned with 2026 industry projections.
- Collaborate with product leaders to translate futuristic concepts into deployable code.
- Ensure system reliability, security, and scalability in a cloud-native environment.
Qualifications
- Master’s or PhD in Computer Science, Computational Neuroscience, or a related technical field.
- 5+ years of experience in AI/ML engineering, with a focus on deep learning frameworks (PyTorch, TensorFlow).
- Proven track record of leading large-scale technical projects and mentoring senior engineers.
- Deep understanding of quantum computing principles and their application in classical AI.
- Experience with high-availability distributed systems (Kubernetes, AWS, GCP).
- Strong problem-solving skills and the ability to thrive in a fast-paced, ambiguous environment.