Job Description
Architecting the Future: Lead AI/Robotics Engineer 2026
Join Aether Dynamics, a pioneer in next-generation autonomous systems. We are looking for a visionary Lead AI/Robotics Engineer to drive the technological advancements that will define the year 2026 and beyond. If you are passionate about pushing the boundaries of what is possible in artificial intelligence and robotics, this is your opportunity to lead the charge.
Why Join Us?
At Aether Dynamics, we don't just predict the future; we engineer it. You will work on state-of-the-art projects that utilize advanced machine learning to revolutionize industrial automation and consumer robotics.
Key Responsibilities
- Architect and deploy scalable AI models for next-generation autonomous robots.
- Lead a cross-functional team of engineers and data scientists in R&D initiatives.
- Optimize neural networks for real-time decision-making and edge computing environments.
- Collaborate with hardware engineers to seamlessly integrate software with robotic hardware.
- Define the technical roadmap for AI capabilities through 2026 and beyond.
- Patent novel algorithms and methodologies in the field of embodied AI.
Qualifications
- Master’s or PhD in Computer Science, Robotics, or a related technical field.
- 5+ years of professional experience in AI/ML, with at least 2 years in a leadership role.
- Expert proficiency in Python, PyTorch, TensorFlow, and C++.
- Deep understanding of Reinforcement Learning, Computer Vision, and NLP.
- Strong background in distributed systems and cloud infrastructure (AWS/GCP).
- Demonstrated ability to communicate complex technical concepts to non-technical stakeholders.
Responsibilities
- Architect and deploy scalable AI models for next-generation autonomous robots.
- Lead a cross-functional team of engineers and data scientists in R&D initiatives.
- Optimize neural networks for real-time decision-making and edge computing environments.
- Collaborate with hardware engineers to seamlessly integrate software with robotic hardware.
- Define the technical roadmap for AI capabilities through 2026 and beyond.
- Patent novel algorithms and methodologies in the field of embodied AI.
Qualifications
- Master’s or PhD in Computer Science, Robotics, or a related technical field.
- 5+ years of professional experience in AI/ML, with at least 2 years in a leadership role.
- Expert proficiency in Python, PyTorch, TensorFlow, and C++.
- Deep understanding of Reinforcement Learning, Computer Vision, and NLP.
- Strong background in distributed systems and cloud infrastructure (AWS/GCP).
- Demonstrated ability to communicate complex technical concepts to non-technical stakeholders.