Job Description
We are at the forefront of defining the technological landscape for the year 2026 and beyond. At Chronos Dynamics, we are building the next generation of autonomous intelligent systems. We are looking for a visionary Lead AI & Robotics Systems Architect to design the neural infrastructure that will power the future of human-machine interaction.
If you are a forward-thinking engineer passionate about pushing the boundaries of what is possible in machine learning, robotics, and synthetic biology, this is your opportunity to lead a revolutionary project.
Why Join Us?
- Work on cutting-edge projects that will define the 2026 tech landscape.
- Competitive equity package and top-tier compensation.
- Flexible remote-first culture with state-of-the-art hardware labs in SF.
Responsibilities
- Design and architect scalable, high-performance AI systems capable of operating in edge environments and cloud infrastructures.
- Lead the research and implementation of next-generation robotics control algorithms, including reinforcement learning and inverse kinematics.
- Collaborate with cross-functional teams of data scientists, hardware engineers, and product managers to define technical roadmaps for 2026 release.
- Ensure system reliability, security, and ethical AI compliance across all deployed models.
- Oversee code reviews, technical mentorship, and architectural governance for the engineering team.
- Stay ahead of industry trends in quantum computing and neuromorphic engineering to integrate relevant advancements into our core stack.
Qualifications
- Master’s or PhD in Computer Science, Robotics, Electrical Engineering, or a related field.
- 10+ years of professional experience in software development, with at least 5 years in AI/ML architecture.
- Expert proficiency in Python, C++, and CUDA.
- Deep experience with deep learning frameworks (TensorFlow, PyTorch) and robotics middleware (ROS 2, ROS).
- Proven track record of leading large-scale engineering teams and delivering complex systems on time.
- Strong understanding of ethics in AI and data privacy standards.