Physical AI for industrial operations. One knowledge graph of your assets, processes, people, and locations, with agents that return the plan rather than the alert.
About the role
As part of the interview process, you will be asked to complete a technical assessment. Expect atleast two-three rounds of Technical interviewing rounds and one onsite round.
What they're looking for
- PhD in Computer Science, Operations Research, Applied Math, or related quantitative field
- 6+ years of experience in AI/ML or optimization, or Supply Chain planning systems
- Reinforcement learning for dynamic decision-making
- Digital twins and simulation systems
- Knowledge of cloud platforms (GCP, AWS, Azure)
- Experience with streaming data (Kafka, Spark)
More about this role
Avathon is the leading Industrial AI autonomy platform, helping customers across heavy industries - energy, mining, manufacturing, aerospace, defense, and logistics - accelerate the journey toward autonomous operations. Our platform is built on a Computational Knowledge Graph foundation that contextualizes and connects operational data across siloed systems, bringing together time series, structured, unstructured, and machine vision data to power AI-driven applications in asset performance management, supply chain intelligence, visual AI, and global trade management. With capabilities spanning digital twins, normal behavior modeling, natural language processing, and computer vision, Avathon delivers real-time predictive intelligence and agentic decision-making at industrial scale.
Cutting-Edge AI Innovation - Join a team at the forefront of AI, developing groundbreaking solutions that shape the future. High-Growth Environment - Thrive in a fast-scaling startup where agility, collaboration, and rapid professional growth are the norm. Meaningful Impact - Work on AI-driven projects that drive real change across industries and improve lives.
Learn more at: avathon.com
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