Job Description
We are on the cusp of a technological singularity. Nexus Horizon Labs is seeking a visionary Advanced AI & Robotics Engineer to architect the next generation of autonomous systems. If you are passionate about pushing the boundaries of what is possible in 2026 and beyond, we want to hear from you.
Join our elite R&D division and play a pivotal role in developing quantum-integrated neural networks and humanoid robotics. You will work directly with top-tier scientists to deploy scalable AI solutions that will define the future of human-machine interaction.
Why Join Us?
- Work on cutting-edge technology with a multi-billion dollar roadmap.
- Competitive compensation package and equity options.
- Flexible remote-first culture with access to state-of-the-art hardware labs.
Responsibilities
- Architect Neural Architectures: Design and implement scalable deep learning models for next-generation robotics, focusing on reinforcement learning and computer vision.
- Quantum Integration: Explore and integrate hybrid quantum-classical algorithms to enhance computational speed and efficiency for complex decision-making tasks.
- System Optimization: Optimize AI inference engines for edge devices and robotics hardware, ensuring low latency and high throughput.
- R&D Leadership: Lead internal research initiatives and drive the technical roadmap towards the 2026 product launch milestones.
- Patent Development: Collaborate with legal and IP teams to file patents for novel algorithms and robotic control mechanisms.
Qualifications
- Education: Master’s or PhD in Computer Science, Robotics, Mathematics, or a related field from a top-tier institution.
- Experience: Minimum 5 years of professional experience in AI/ML, with at least 2 years focusing on robotics or autonomous systems.
- Technical Skills: Proficiency in Python, C++, and TensorFlow or PyTorch; experience with CUDA and GPU acceleration is highly preferred.
- Domain Knowledge: Strong understanding of kinematics, dynamics, and sensor fusion for robotics applications.
- Innovation: Demonstrated track record of publishing in top-tier conferences (NeurIPS, ICML, CVPR) or holding relevant patents.