Job Description
We are seeking a visionary 2026 Systems Architect to lead our cutting-edge research and development initiatives. At Horizon AI Systems, we don't just predict the future; we build it. As we accelerate towards the technological landscape of 2026, you will be at the forefront of defining how AI and robotics intersect to solve complex global challenges. If you are a technical leader with a passion for innovation and a desire to shape the next generation of intelligent systems, we want to hear from you.
Why Join Us?
- Impactful Work: Architect systems that will redefine human-machine interaction.
- Forward-Looking Culture: A collaborative environment focused on the future of technology.
- Top-Tier Compensation: Competitive salary and equity packages.
Responsibilities
- Architectural Design: Design robust, scalable, and secure system architectures for next-generation AI and robotic platforms, ensuring they meet the rigorous demands of 2026.
- R&D Leadership: Spearhead research initiatives in Generative AI, Computer Vision, and Autonomous Navigation to stay ahead of industry trends.
- Technical Strategy: Translate high-level business objectives into concrete technical roadmaps and development plans.
- Team Mentorship: Guide and mentor a diverse team of engineers and researchers, fostering a culture of technical excellence and continuous learning.
- System Integration: Oversee the integration of complex hardware and software components to create seamless end-to-end solutions.
- Stakeholder Communication: Present technical concepts and architectural decisions to executive stakeholders and non-technical audiences clearly and persuasively.
Qualifications
- Education: Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related technical field.
- Experience: Minimum of 7+ years of experience in software engineering, systems architecture, or AI research.
- Technical Skills: Proficiency in Python, C++, and at least one major deep learning framework (TensorFlow, PyTorch, JAX).
- System Design: Strong experience designing microservices, distributed systems, and cloud-native architectures (AWS, GCP, Azure).
- Leadership: Proven track record of leading high-performance engineering teams and delivering complex projects on time.
- Future-Forward Mindset: Deep understanding of emerging trends in AI, IoT, and the "Year 2026" technological landscape.