Job Description
Are you ready to architect the future of intelligence? Nexus Horizon Labs is seeking a visionary Senior AI & Robotics Engineer to join our elite team. We are defining the 2026 roadmap for next-generation autonomous systems and generative AI models. If you thrive in ambiguity and possess a passion for pushing the boundaries of what is possible in machine learning, this is your opportunity to lead the charge on breakthrough technologies.
As a key player in our 2026 Strategic Initiative, you will bridge the gap between theoretical research and scalable production systems. You will work alongside world-class researchers and engineers to build the infrastructure that powers the next generation of human-machine interaction.
Why Join Us?
We offer a competitive compensation package, equity opportunities, and a fully remote-first culture that prioritizes innovation and work-life balance. Be part of the team that defines the trajectory of artificial intelligence for the next decade.
Responsibilities
- Lead the architectural design of scalable deep learning models for autonomous agents and robotics systems.
- Collaborate with cross-functional teams to translate the 2026 strategic roadmap into concrete technical milestones and deliverables.
- Optimize neural network performance for real-time edge processing and low-latency inference.
- Conduct rigorous research on emerging AI paradigms, including Generative Adversarial Networks (GANs) and advanced Transformer architectures.
- Establish best practices for MLOps, model governance, and ethical AI deployment.
- Mentor junior engineers and foster a culture of technical excellence and continuous learning.
Qualifications
- PhD or Master’s degree in Computer Science, Artificial Intelligence, Robotics, or a related technical field.
- Proven experience (5+ years) in deploying large-scale AI models in production environments.
- Expert proficiency in Python, PyTorch, and TensorFlow.
- Strong understanding of distributed systems, cloud infrastructure (AWS/GCP), and containerization (Docker/Kubernetes).
- Exceptional problem-solving skills and a track record of delivering breakthrough technologies in high-pressure environments.
- Demonstrated ability to communicate complex technical concepts to non-technical stakeholders.