Job Description
Are you ready to architect the intelligence that will define the 2026 era? Apex Horizon Systems is at the forefront of the next industrial revolution, developing sentient computing architectures that bridge the gap between biological cognition and silicon efficiency. We are seeking a visionary Lead Neuromorphic Architect to lead our R&D division.
In this pivotal role, you will not just write code; you will engineer the cognitive layer of our future. You will be responsible for designing scalable, energy-efficient neural networks that utilize quantum processing units (QPUs) and memristor technologies. If you are obsessed with pushing the boundaries of AGI (Artificial General Intelligence) and want to leave a legacy in the history of technology, we want to hear from you.
Why Join Us?
- Revolutionary Impact: Work on projects that will fundamentally alter human-computer interaction.
- Top-Tier Compensation: Competitive salary, equity packages, and performance bonuses.
- Future-Proofing: Role focused on 2026 roadmaps and emerging technologies.
Responsibilities
- Design and implement next-generation neuromorphic hardware-software interfaces.
- Optimize deep learning algorithms for low-latency, high-throughput quantum environments.
- Collaborate with cross-functional teams to integrate cognitive models into real-world applications.
- Establish architectural standards for ethical AI development and safety protocols.
- Pioneering research into spiking neural networks (SNNs) and bio-inspired computing.
- Lead a team of top-tier engineers and data scientists in high-pressure R&D sprints.
Qualifications
- Ph.D. or Master’s degree in Computational Neuroscience, Computer Science, or Physics with a focus on AI.
- 10+ years of experience in deep learning, neural architecture search (NAS), or quantum machine learning.
- Extensive proficiency in Python, C++, and CUDA programming.
- Proven track record of leading large-scale technical projects from conception to deployment.
- Deep understanding of ethical AI frameworks and alignment research.
- Experience with FPGA development and neuromorphic chip design is highly preferred.