Job Description
Are you ready to architect the future of autonomous intelligence?
Nexus Horizon Labs is pioneering the next generation of sentient robotics and neural networks. We are seeking a visionary Future AI & Robotics Engineer (Role 2026) to join our elite R&D division in San Francisco. This is not just a job; it is a mission to redefine human-machine interaction.
In this high-impact role, you will lead the development of next-generation neural architectures designed for real-world autonomy. If you thrive on solving complex problems at the intersection of deep learning and physical robotics, we want to meet you.
Why Join Us?
- Revolutionary Tech: Work on cutting-edge AI models that will define the landscape of 2026 and beyond.
- Premium Compensation: Competitive salary and equity package.
- Top-Tier Team: Collaborate with PhD-level researchers and industry veterans.
Responsibilities
- Design and implement advanced neural network architectures for autonomous robotics and decision-making systems.
- Optimize AI models for low-latency inference in edge computing environments.
- Lead the research and development of reinforcement learning algorithms for physical agents.
- Collaborate with hardware engineers to integrate AI models directly into robotic hardware.
- Conduct rigorous testing and validation of AI safety protocols and ethical guidelines.
- Mentor junior engineers and research interns in deep learning best practices.
- Publish high-impact research papers and contribute to open-source AI communities.
Qualifications
- Master’s or PhD in Computer Science, Robotics, Artificial Intelligence, or a related quantitative field.
- Deep expertise in Python, C++, and frameworks such as PyTorch or TensorFlow.
- Strong background in Deep Learning, specifically Convolutional Neural Networks (CNNs) and Transformer models.
- Experience with Reinforcement Learning (RL) and Sim-to-Real transfer techniques.
- Proven track record of deploying AI models in production environments.
- Excellent problem-solving skills and ability to work in a fast-paced, agile startup environment.
- Fluency in English is required; proficiency in a second language is a plus.