Job Description
Are you ready to architect the future? Apex Horizon Systems is seeking a visionary Senior 2026 AI & Robotics Architect to lead our next-generation autonomous systems division. In this pivotal role, you will define the technical roadmap for our 2026 release cycles, integrating cutting-edge Artificial Intelligence with advanced robotics to solve complex, real-world problems.
As we approach the 2026 technological threshold, we are looking for a leader who can bridge the gap between theoretical AI models and deployable hardware solutions. You will work alongside world-class engineers and product strategists to build scalable, ethical, and high-performance systems.
Why Join Us?
- Work on projects that define the industry standard for 2026.
- Competitive compensation and equity packages.
- Flexible remote-first policy with a hub in San Francisco.
- Access to state-of-the-art research labs and equipment.
Responsibilities
- Lead the architectural design and implementation of AI-driven robotics systems targeted for the 2026 market release.
- Develop and maintain high-level architectural designs, ensuring scalability, security, and performance.
- Collaborate with cross-functional teams including hardware engineers, data scientists, and product managers.
- Identify and integrate emerging AI technologies (e.g., Large Language Models, Computer Vision) into core product lines.
- Mentor junior architects and engineers, fostering a culture of innovation and continuous learning.
- Conduct rigorous testing and validation of autonomous systems to ensure reliability in dynamic environments.
- Define technical standards and best practices for the 2026 technology stack.
Qualifications
- 10+ years of experience in software engineering, with at least 5 years in AI architecture or robotics.
- Deep expertise in Python, TensorFlow, PyTorch, or similar machine learning frameworks.
- Strong background in system architecture, distributed systems, and cloud computing (AWS, Azure, or GCP).
- Experience with hardware-software integration, ROS (Robot Operating System), or embedded systems.
- Proven track record of leading high-performance engineering teams and delivering complex projects on time.
- Master’s degree or PhD in Computer Science, Robotics, or a related field is highly preferred.
- Familiarity with ethical AI practices and regulatory compliance standards.