Job Description
Are you ready to architect the next decade of intelligent automation? Nexus Future Systems is seeking a visionary Senior AI & Robotics Engineer to lead our breakthrough initiatives in autonomous systems and neural interfaces. We are building the infrastructure for a world where human and machine intelligence converge seamlessly.
In this high-impact role, you will not just write code; you will define the ethical frameworks and technical standards for the future of robotics. You will work alongside world-class researchers and engineers to deploy scalable machine learning models that power next-generation autonomous fleets.
Why Join Us?
- Future-Forward Impact: Your work will directly shape the trajectory of global automation technology.
- Premium Compensation: Competitive salary and equity package.
- State-of-the-Art Environment: Access to the latest hardware, including quantum computing clusters and advanced robotics labs.
If you are a technical leader passionate about the intersection of AI, robotics, and human-computer interaction, we want to hear from you.
Responsibilities
- Lead the architecture, design, and implementation of advanced machine learning models for autonomous robotic systems.
- Collaborate with cross-functional teams to integrate AI capabilities into hardware prototypes and production environments.
- Ensure the ethical deployment of AI, addressing bias, transparency, and safety in all algorithmic outputs.
- Mentor junior engineers and researchers, fostering a culture of innovation and technical excellence.
- Optimize neural networks for real-time processing and low-latency performance on edge devices.
- Conduct rigorous testing and validation of robotic autonomy in dynamic, unstructured environments.
Qualifications
- Master’s or Ph.D. in Computer Science, Robotics, Electrical Engineering, or a related field.
- 10+ years of professional experience in machine learning, deep learning, or robotics engineering.
- Expert proficiency in Python, PyTorch, TensorFlow, and C++.
- Experience with sensor fusion, SLAM, and computer vision technologies.
- Strong understanding of reinforcement learning and control theory.
- Demonstrated ability to lead technical projects from conception to deployment.