Job Description
Are you ready to build the impossible? Apex Horizon Technologies is seeking a visionary Senior AI & Quantum Systems Architect to lead our next-generation technology initiatives. We are on the cutting edge of the 2026 roadmap, bridging the gap between current machine learning paradigms and the future of quantum computing.
In this pivotal role, you won't just be writing code; you will architect the neural networks that will power autonomous systems, generative agents, and next-gen cloud infrastructure. Join a team of elite engineers dedicated to solving humanity's most complex challenges through advanced AI.
Why Join Us?
- Work on high-impact, futuristic technology stacks.
- Competitive compensation and equity packages.
- Flexible remote-first culture with state-of-the-art facilities in SF.
The Role
We are looking for a thought leader who thrives in ambiguity and can translate abstract research into robust, scalable production systems.
Responsibilities
- Architect Advanced AI Models: Design and deploy scalable machine learning pipelines for complex, real-time environments, focusing on Large Language Models (LLMs) and reinforcement learning.
- Lead Quantum Integration: Collaborate with quantum computing research teams to integrate quantum algorithms into classical AI workflows.
- Technical Roadmapping: Define the technical vision and long-term architecture for the 2026 product suite, ensuring scalability and security.
- Performance Optimization: Spearhead efforts to optimize neural network training speeds and reduce inference latency in distributed cloud environments.
- Team Leadership: Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Research & Development: Stay ahead of industry trends, evaluating new frameworks (e.g., Rust, WebGPU) to improve system efficiency.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field with a focus on AI/ML.
- Experience: 10+ years of professional experience in software engineering and machine learning architecture.
- Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, or JAX. Experience with Rust or Go is highly preferred.
- Cloud Expertise: Proven track record of designing systems on AWS, GCP, or Azure.
- Algorithms: Strong background in statistical modeling, NLP, computer vision, or distributed systems.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.