Job Description
Join the Architects of the Future
We are currently seeking a visionary Senior AI & Robotics Engineer to join our elite team for Project 2026. Our mission is to engineer the infrastructure that will define the next decade of human-machine collaboration. As we approach the target deployment date of 2026, we are looking for individuals who possess not just technical prowess, but the foresight to build scalable, ethical, and transformative solutions.
About the Role:
In this pivotal position, you will bridge the gap between generative AI and autonomous robotics. You will be responsible for designing the neural architectures that power our next-generation autonomous systems, ensuring they are robust, efficient, and ready for the demands of 2026 and beyond.
Why Apex Horizon Systems?
- Work on ground-breaking technology that is actively shaping the future.
- Competitive compensation package with equity opportunities.
- Flexible remote-first culture with a collaborative San Francisco hub.
Responsibilities
- Design, develop, and optimize advanced machine learning models specifically for robotics control and perception.
- Lead the architecture of end-to-end AI pipelines, from data ingestion to model deployment on edge devices.
- Collaborate with cross-functional teams of engineers, designers, and product managers to define the roadmap for Project 2026.
- Conduct rigorous code reviews and mentor junior engineers, fostering a culture of technical excellence.
- Research emerging paradigms in quantum computing and neural networks to maintain a competitive edge.
- Ensure all systems comply with ethical AI guidelines and safety regulations.
Qualifications
- Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related quantitative field.
- Minimum of 6 years of professional experience in AI/ML engineering.
- Strong proficiency in Python, C++, and frameworks such as TensorFlow or PyTorch.
- Experience with ROS (Robot Operating System) and computer vision libraries (OpenCV).
- Demonstrated ability to work with cloud infrastructure (AWS/Azure) and containerization technologies (Docker, Kubernetes).
- Excellent problem-solving skills and the ability to thrive in a fast-paced, high-stakes environment.