Job description

Who We Are & Why Join Us 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 About the Role As the only physical AI unicorn headquartered in the San Francisco Bay Area, we go beyond models and dashboards — we deploy AI that continuously computes across supply chains, energy systems, and industrial operations. Our Operational Technology platform turns fragmented data into real-time, autonomous decisioning across the systems that power the global economy. This is not digital AI. This is AI for operational reality — where latency, constraints, and failure have real-world consequences. Forward Deployed AI Engineers at Avathon are rewiring how the physical world operates. You will work directly with customers to take the hardest operational problems — multi-echelon supply chains, constrained production systems, global logistics networks — and turn them into continuously computing, AI-led systems. You will design, build, and deploy production-grade AI applications that operate across real-world infrastructure where decisions propagate across thousands of nodes in real time. Responsibilities This role operates with the intensity and ownership of a founder in the field: Own end-to-end delivery of high-stakes deployments in operational environments Design and implement Avathon's Computational Knowledge Graph (CKG) that unifies data, constraints, and decisioning — performing continuous computation across physical networks Replace static planning workflows with real-time, autonomous execution applications Work side-by-side with operators, planners, and key stakeholders to define problems and deliver solutions Push systems into production that directly control and influence real-world operations Drive product evolution by feeding field learnings back into Avathon's core platform Preferred Skills 6+ years of hands-on technical experience (including internships) building, scaling, or deploying software and AI/ML systems Experience building AI/ML applications in production Strong foundation in machine learning, optimization, and system design Exceptional inferencing skills on applying necessary models in the field Demonstrated proficiency in programming languages such as Python, Java, C++, TypeScript/JavaScript, or similar Ability to reason complex, interconnected systems (supply chains, networks, infrastructure) Ability to move from problem to architecture to deployment without handoffs We Value We value engineers who build systems and tune industrial models Comfort operating in ambiguity, pressure, and high-stakes environments Willingness to work directly with customers and operate in real-world environments Travel to customer sites (up to 50%) Qualifications Bachelor’s degree in Science, Technology, Engineering An active U.S. Government security clearance (preferred) Excellent problem-solving, critical thinking, and communication skills Must be authorized to work in the United States without current or future company sponsorship Compensation & Benefits California Base Salary Range: $110,000 – $180,000 USD (based on experience) Equity in the form of stock options Comprehensive health, dental, and vision coverage 401(k) participation Generous PTO and company holidays Ongoing learning and development opportunities Location: Reporting out of Avathon’s HQ in Pleasanton (San Francisco Bay Area), California. Avathon is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws. Avathon is committed to providing reasonable accommodations throughout the recruiting process. If you need a reasonable accommodation, please contact us to discuss how we can assist you.

Requirements

Must-haves

Who We Are & Why Join Us
Learn more at: avathon.com
This is not digital AI. This is AI for operational reality — where latency, constraints, and failure have real-world consequences.
This role operates with the intensity and ownership of a founder in the field:
Own end-to-end delivery of high-stakes deployments in operational environments
Design and implement Avathon's Computational Knowledge Graph (CKG) that unifies data, constraints, and decisioning — performing continuous computation across physical networks
Replace static planning workflows with real-time, autonomous execution applications
Work side-by-side with operators, planners, and key stakeholders to define problems and deliver solutions
Push systems into production that directly control and influence real-world operations
Drive product evolution by feeding field learnings back into Avathon's core platform
6+ years of hands-on technical experience (including internships) building, scaling, or deploying software and AI/ML systems
Bachelor’s degree in Science, Technology, Engineering
Excellent problem-solving, critical thinking, and communication skills

Nice-to-haves

Experience building AI/ML applications in production
Strong foundation in machine learning, optimization, and system design
Exceptional inferencing skills on applying necessary models in the field
Demonstrated proficiency in programming languages such as Python, Java, C++, TypeScript/JavaScript, or similar
Ability to reason complex, interconnected systems (supply chains, networks, infrastructure)
Ability to move from problem to architecture to deployment without handoffs
We value engineers who build systems and tune industrial models
Comfort operating in ambiguity, pressure, and high-stakes environments
Willingness to work directly with customers and operate in real-world environments
Travel to customer sites (up to 50%)
An active U.S. Government security clearance (preferred)

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aigomlmachine learningpythonjavatypescriptjavascript

Platform: greenhouse
Effort: quick

Benefits

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Dental

Vision

401(K)

Pto