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

Senior AI Engineer – Generative AI & LLMs

At Avathon, we are building cutting-edge AI solutions that transform operations across asset-intensive industries such as Supply Chain, Logistics, Energy, Mining, Aerospace, and Industrial Manufacturing. As an AI Engineer, you will play a critical role in designing, developing, and deploying scalable AI systems with a strong focus on Generative AI, Large Language Models (LLMs), and production-grade machine learning applications.

This role is ideal for someone with strong engineering depth who can bridge research and production—building robust AI platforms, optimizing LLM workflows, and delivering high-impact solutions across forecasting, route optimization, anomaly detection, predictive maintenance, and intelligent automation.

With 3–5 years of hands-on industry experience, you are expected to bring expertise in AI system design, ML engineering, LLM deployment, and scalable software development within fast-paced startup environments.

You Will

• Design, build, and deploy production-grade AI/ML systems with strong emphasis on Generative AI and LLM-powered applications
• Develop and optimize end-to-end LLM pipelines including RAG architectures, fine-tuning, prompt orchestration, evaluation, and observability
• Build scalable backend services and APIs for AI applications using modern engineering best practices
• Implement and productionize transformer-based models and GenAI workflows for enterprise use cases
• Design vector search systems, embedding pipelines, and retrieval frameworks for knowledge-intensive applications
• Partner closely with Product, Engineering, and Business teams to translate operational challenges into scalable AI solutions
• Drive experimentation, benchmarking, model evaluation, and performance optimization with scientific rigor
• Improve inference efficiency, latency optimization, cost management, and reliability of deployed AI systems
• Establish guardrails, hallucination detection, monitoring, and responsible AI practices for production deployments
• Contribute to MLOps workflows including CI/CD, model lifecycle management, observability, and cloud deployment
• Stay current with the latest advancements in LLMs, agentic systems, foundation models, and applied AI engineering

You'll Have

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field
• 3–5 years of hands-on industry experience in AI Engineering, Machine Learning Engineering, Applied AI, or related roles
• Strong experience building and deploying LLM-based applications in production environments
• Solid expertise with Python and modern AI/ML frameworks such as PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, or similar
• Strong understanding of transformer architectures, LLM fine-tuning, prompt engineering, RAG systems, and vector databases
• Experience building scalable APIs and backend systems supporting AI workflows
• Familiarity with cloud platforms such as AWS, GCP, or Azure
• Strong software engineering fundamentals including system design, debugging, performance optimization, and production reliability
• Experience with containerization, deployment pipelines, and collaborative engineering environments
• Strong analytical thinking, ownership mindset, and ability to work in ambiguous, fast-moving startup environments
• Strong communication skills and ability to work cross-functionally with technical and business stakeholder

Preferred Qualifications

• Exposure to Retrieval-Augmented Generation (RAG), vector databases, or embedding-based search systems
• Familiarity with LLM observability and evaluation tools (e.g., Langfuse, LangSmith, Arize Phoenix, Weights & Biases)
• Hands-on experience with practical LLM deployment -- prompt versioning, cost/latency tracking, guardrails, or hallucination detection
• Exposure to LLM evaluation frameworks (e.g., RAGAS, DeepEval) or LLM-as-judge evaluation patterns
• Basic understanding of MLOps practices and model lifecycle management
• Experience working on applied AI projects in academic, internship, or startup settings
• Interest in industrial AI and asset-intensive environments
• Industry exposure in one or more of the following domains: Mining, Oil & Gas, Aerospace, Supply Chain, Logistics, or Renewable Energy

Interview Process

As part of the interview process, you will be asked to complete a technical assessment.

Benefits & Perks

What are the benefits and perks at Avathon? Below are some highlights we offer to our U.S. full-time employees -- we'd love to connect and share more!

• Evolving culture with the opportunity to drive new ideas and technology
• Stock Option Grants
• Medical Coverage and Parental Leave Plans
• 401k with Employer Match
• Monthly Technology Allowance
• Newly renovated office space located near Pleasanton, CA -- including fully stocked beverage and snack areas

Contract and temporary roles are not eligible for the above benefits.

Compensation

Pay Range: $110k - $130k salary annually. Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.

Location: This role is not remote. Candidates must be based in the Bay Area, CA and are expected to report to our Pleasanton office 5 days a week.

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

As a Senior AI Engineer at Avathon, you will play a key role in designing and delivering advanced AI solutions with a strong emphasis on Generative AI and Large Language Models (LLMs). You will apply scientific rigor to develop scalable, production-ready machine learning systems that drive measurable business impact, working on challenging problems in forecasting, demand planning, renewable energy optimization, anomaly detection, and prescriptive maintenance. With minimum 5 years of industry experience, you are expected to bring strong expertise in statistical modeling, ML engineering, and modern AI architectures, particularly in GenAI and LLM-based applications. This role offers the opportunity to work on high-impact projects that shape next-generation AI capabilities within the organization.

• Design, develop, and deploy machine learning and Generative AI solutions to solve complex business problems
• Build, fine-tune, and optimize Large Language Models (LLMs) and transformer-based architectures for real-world applications
• Apply rigorous scientific methodologies to experimentation, model evaluation, and performance optimization
• Develop scalable ML pipelines and production-grade systems in collaboration with Engineering teams
• Conduct prompt engineering, model alignment, evaluation, and performance benchmarking for GenAI applications
• Work closely with Product, Engineering, and Business stakeholders to translate ambiguous requirements into data-driven AI solutions
• Instrument and monitor LLM applications in production using observability tools, tracking cost, latency, quality, and drift
• Contribute to model governance, responsible AI practices, and performance monitoring in production environments
• Stay current with advancements in Generative AI, LLM research, and applied machine learning, incorporating relevant innovations into company solutions

• Master’s or PhD in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field
• Minimum 5 years of hands-on industry experience in AI engineering, machine learning, data science, or applied AI roles
• Strong experience with Generative AI frameworks and Large Language Models (e.g., transformer architectures, fine-tuning, RAG systems)
• Proficiency in Python and modern ML/AI libraries such as PyTorch, TensorFlow, Hugging Face, or equivalent ecosystems
• Solid understanding of statistical modeling, experimentation, and model evaluation methodologies
• Experience building and deploying ML models into production environments
• Familiarity with data engineering workflows and cloud-based ML platforms (AWS, GCP, or Azure)
• Strong problem-solving skills with the ability to work independently on complex and ambiguous problem statements
• Excellent communication skills with the ability to present technical insights clearly to cross-functional stakeholders

• Experience implementing Retrieval-Augmented Generation (RAG), vector databases, and embedding-based search systems
• Hands-on experience with LLM observability platforms (e.g., Langfuse, LangSmith, Arize Phoenix, Weights & Biases) for tracing, cost tracking, and quality monitoring in production
• Experience with LLM evaluation frameworks (e.g., RAGAS, DeepEval) and evaluation patterns such as LLM-as-judge and automated regression testing
• Practical experience deploying LLM applications with guardrails, prompt versioning, hallucination detection, and model drift monitoring
• Exposure to distributed training, model optimization, and scalable inference architectures
• Knowledge of MLOps practices, CI/CD for ML (Travis CI, Jenkins), and model lifecycle management
• Prior experience applying AI solutions in industrial or asset-intensive environments
• Experience working in fast-paced startup or product-driven environments
• Industry experience in one or more of the following domains: Mining, Oil & Gas, Aerospace, Supply Chain, Logistics, or Renewable Energy
•  

What are the benefits and perks at Avathon? Below are some highlights we offer to our U.S. full-time employees -- we'd love to connect and share more!

• Evolving culture with the opportunity to drive new ideas and technology
• Stock Option Grants
• Medical Coverage and Parental Leave Plans
• 401k with Employer Match
• Monthly Technology Allowance
• Newly renovated office space located near Pleasanton, CA -- including fully stocked beverage and snack areas

Contract and temporary roles are not eligible for the above benefits.

Pay Range: $130k - $155k salary annually. Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.

Location: This role is not remote. Candidates must be based in the Bay Area, CA and are expected to report to our Pleasanton office 5 days a week.

About the Role

About Avathon

We’re hiring a Senior AI Scientist (Transportation & Logistics) at Avathon — where AI meets the real world.
This is a high-impact role at the intersection of operations research, reinforcement learning, and large-scale data systems, focused on building intelligent solutions that transform transportation and logistics networks.

We are looking for a Senior AI Scientist to lead the design and deployment of advanced optimization and machine learning systems across complex transportation ecosystems. You will work on real-world challenges such as routing, scheduling, network optimization, demand forecasting, and asset utilization across multimodal logistics environments including FCL, LCL, FTL, LTL, intermodal, and maritime transportation.

This role offers the opportunity to drive innovation in vessel scheduling, container repositioning, fleet optimization, and dynamic routing, while collaborating closely with engineering, product, and operations teams to bring scalable AI solutions into production.

Key Responsibilities 

AI/ML Model Development 

• Design and implement advanced models for: 
• Fleet optimization and capacity planning 
• Vehicle routing and scheduling (VRP, TSP variants) 
• Demand forecasting and optimization 
• Apply reinforcement learning, optimization algorithms, and hybrid ML + OR approaches 

Transportation Domain Solutions 

Build solutions for: 

• Maritime logistics (vessel scheduling, port operations) 
• Container repositioning and imbalance optimization 
• Truckload (FTL), less-than-truckload (LTL), and intermodal routing 
• Incorporate real-world constraints (time windows, capacity, regulations, SLAs) 

AI Engineering & Deployment 

• Productionize models using scalable architectures (cloud-native, APIs) 
• Collaborate with engineering teams to deploy AI solutions into production 
• Ensure robustness, explainability, and monitoring of models 

Data & Feature Engineering 

Work with large-scale datasets: 

• Shipment data, GPS/telematics, weather, port congestion, tariffs 
• Build feature pipelines and data validation frameworks 

Leadership & Strategy 

• Lead AI initiatives and mentor junior scientists 
• Translate business problems into AI solutions 
• Partner with product, operations, and stakeholders to define roadmaps 

Required Qualifications 

• PhD in Computer Science, Operations Research, Applied Math, or related quantitative field 

• 10–15+ years of experience in AI/ML or optimization, or Supply Chain planning systems

Strong expertise in: 

• Python (NumPy, Pandas, PyTorch/TensorFlow) 
• Optimization tools (Gurobi, CPLEX, OR-Tools) 
• Deep knowledge of: 
• Routing algorithms (VRP, shortest path, heuristics/metaheuristics) 
• Time-series forecasting and probabilistic modeling 
• Experience deploying models in production environments 

Preferred Qualifications 

• Experience in transportation, logistics, or supply chain domain 

• Familiarity with Maritime shipping or fleet scheduling 

• Container logistics and repositioning problems 

Experience with: 

• Reinforcement learning for dynamic decision-making 
• Digital twins and simulation systems 
• Knowledge of cloud platforms (GCP, AWS, Azure) 
• Experience with streaming data (Kafka, Spark) 

Key Skills 

• Optimization + Machine Learning hybrid modeling 

• Strong problem-solving and mathematical modeling skills 

• Ability to handle ambiguous, real-world constraints 

• Communication skills to explain complex models to business stakeholders 

Publications / Patents: 

• Strong plus if you have published in AI/ML/OR conferences (NeurIPS, ICML, INFORMS, etc.) 

Interview Process

As part of the interview process, you will be asked to complete a technical assessment.

Benefits & Perks

What are the benefits and perks at Avathon? Below are some highlights we offer to our U.S. full-time employees -- we'd love to connect and share more!

• Evolving culture with the opportunity to drive new ideas and technology
• Stock Option Grants
• Medical Coverage and Parental Leave Plans
• 401k with Employer Match
• Monthly Technology Allowance
• Newly renovated office space located near Pleasanton, CA -- including fully stocked beverage and snack areas

Contract and temporary roles are not eligible for the above benefits.

Compensation

Pay Range: $160k - $240k salary annually. Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.

Location: This role is not remote. Candidates must be based in the Bay Area, CA and are expected to report to our Pleasanton office 5 days a week.

About the Role

As a Senior AI Scientist – Planning, you will design and develop the AI and optimization models that power Avathon's planning intelligence - demand forecasting, supply planning, inventory optimization, and S&OP decision support for customers across energy, mining, manufacturing, and logistics.

This role sits at the intersection of AI, ML and operations research. You will build models that work with complex supply chain data - demand history, ERP/MRP transactions, and commercial forecasts across multi-echelon networks with long lead times and constrained capacity. The work is equal parts applied research and production delivery. You will develop novel approaches where standard methods fall short and ship them into a platform used by enterprise customers. You will report into the Data Science org and work closely with product and engineering.

You Will

• Build demand forecasting models across industrial verticals, applying probabilistic, hierarchical, and intermittent demand methods where history is short or volatile
• Design supply planning and inventory optimization models across multi-echelon networks with capacity constraints and variable lead times
• Formulate and solve optimization problems (MIP, LP, constraint programming) for production scheduling, allocation, and resource planning
• Build simulation and scenario analysis frameworks to support S&OP and integrated business planning workflows
• Define evaluation metrics, build backtesting pipelines, and run controlled experiments to measure and improve model performance
• Integrate cross-domain signals from Avathon's Computational Knowledge Graph -- asset health, logistics, procurement - into planning models
• Own the path from research to production in collaboration with ML Engineering, delivering scalable and monitored services
• Mentor junior data scientists on technical depth and OR/ML fundamentals

You'll Have

• Ph.D. or master’s degree in operations research, Industrial Engineering, Statistics, Computer Science, Applied Mathematics, or a related quantitative field
• 10-15 years of industry experience in applied ML, optimization, or Supply Chain planning systems
• Deep experience in at least two of: demand forecasting, supply/inventory optimization, production scheduling, or S&OP analytics
• Proficiency in Python with hands-on experience in optimization solvers (Gurobi, CPLEX, OR-Tools, or similar) or forecasting libraries (Prophet, statsmodels, GluonTS, or similar)
• Strong foundation in statistical modeling with sound judgment on when simple methods outperform complex ones
• Experience with supply chain and operational data - demand history, ERP/MRP transactions, and planning system outputs
• Ability to translate business problems into mathematical optimization or ML formulations
• Experience deploying models into production environments

Preferred Qualifications

• Ph.D. in Operations Research, Industrial Engineering, Statistics, or a related field
• Background in supply chain planning platforms or industrial AI (o9, Blue Yonder, Kinaxis, or similar), preferably within the supply chain industry
• Experience in supply chain planning platforms or industrial AI (o9 Solutions, Blue Yonder, Kinaxis, or similar) preferably from Supply Chain industry.
• Experience with multi-echelon inventory optimization or network design
• Familiarity with probabilistic programming or Bayesian methods for demand sensing
• Experience with cloud ML infrastructure (AWS SageMaker, GCP Vertex, or equivalent)
• Domain experience in energy, mining, manufacturing, aerospace, or logistics or Track record of publishing or presenting applied OR/ML work as plus

Interview Process

As part of the interview process, you will be asked to complete a technical assessment.

Benefits & Perks

What are the benefits and perks at Avathon? Below are some highlights we offer to our U.S. full-time employees -- we'd love to connect and share more!

• Evolving culture with the opportunity to drive new ideas and technology
• Stock Option Grants
• Medical Coverage and Parental Leave Plans
• 401k with Employer Match
• Monthly Technology Allowance
• Newly renovated office space located near Pleasanton, CA -- including fully stocked beverage and snack areas

Contract and temporary roles are not eligible for the above benefits.

Compensation

Pay Range: $160k - $240k salary annually. Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.

Location: This role is not remote. Candidates must be based in the Bay Area, CA and are expected to report to our Pleasanton office 5 days a week.

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.

The Role:

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.

What you will do: 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 unify 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 into Avathon’s core platform

Preferred Skills

• 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:

• Master’s (preferred) or bachelor’s degree in science, technology, engineering
• An active U.S. Government security clearance (preferred)
• Excellent problem-solving, critical thinking, and communication skills

Compensation & Benefits

• California Base Salary Range: $130,000 – $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

Candidates must be authorized to work in the United States without the need for current or future company sponsorship.

Location: Reporting out of Avathon’s HQ in Pleasanton (San Francisco Bay Area), California.

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 Neon -- Our Computational Knowledge Graph Platform

Neon is Avathon's proprietary Computational Knowledge Graph (CKG) platform that combines:

1. Knowledge Graph -- A network of connected facts, entities, and relationships
2. Computation Graph -- Complex analytics and computations defined on top of the knowledge graph

Neon powers decision-intelligence applications across supply chain, manufacturing, and energy domains. It enables multi-hop graph traversals, nested data operations, real-time analytics, and seamless integration with ML/AI pipelines.

About the Role

We are seeking an experienced CKG Lead Engineer to help design, develop, and scale our Neon platform. In this role, you will work on the full-stack development of our knowledge graph platform, from ontology design and schema modeling to query optimization and Python integration. You will collaborate with data scientists, product managers, and customers to build solutions that leverage Neon's unique computational capabilities. This is a mid-senior level position (5-7 years experience) that combines technical leadership with hands-on development.

You Will

• Design and implement knowledge graph schemas, ontologies, and data models for complex domains (supply chain, manufacturing BOM, logistics)
• Develop and optimize IQL (Intermediate Query Language) queries for multi-hop graph traversals, joins, and aggregations
• Build data ingestion pipelines to populate and maintain knowledge graphs from diverse data sources
• Implement computational functions and analytics on top of the knowledge graph
• Integrate Neon with Python/NumPy for advanced analytics and ML model integration
• Design and build APIs to expose knowledge graph capabilities to downstream applications
• Optimize query performance for large-scale datasets (1M+ records)
• Collaborate with product and data science teams to translate business requirements into graph solutions
• Mentor team members on IQL, graph modeling, and Neon best practices
• Contribute to platform roadmap and architectural decisions

You'll Have

• 5-7 years of software engineering experience, with at least 2 years working with graph technologies or knowledge graphs
• Strong proficiency in Python programming
• Experience with graph databases or knowledge graph platforms (Neo4j, Amazon Neptune, TigerGraph, or similar)
• Understanding of ontology design, schema modeling, and graph data structures
• Experience with SQL and query optimization
• Familiarity with REST APIs and web services architecture
• Experience with cloud platforms (GCP preferred, AWS or Azure acceptable)
• Strong problem-solving skills and ability to translate complex business requirements into technical solutions
• Excellent communication skills and ability to work with cross-functional teams
• BS or MS in Computer Science, Engineering, or related field

Preferred Qualifications

• Experience with RDF, SPARQL, or semantic web technologies
• Knowledge of NLP/NER pipelines for entity extraction and relationship mining
• Experience with ML model integration and MLOps
• Familiarity with supply chain, manufacturing, or BOM data structures
• Experience with time series data and IoT integration
• Knowledge of graph algorithms (shortest path, centrality, community detection)
• Experience with data visualization for graph structures
• Contributions to open-source graph or knowledge management projects

Key Technologies

Interview Process

As part of the interview process, you will be asked to complete a technical assessment.

Benefits & Perks

What are the benefits and perks at Avathon? Below are some highlights we offer to our U.S. full-time employees -- we'd love to connect and share more!

• Evolving culture with the opportunity to drive new ideas and technology
• Stock Option Grants
• Medical Coverage and Parental Leave Plans
• 401k with Employer Match
• Monthly Technology Allowance
• Newly renovated office space located near Pleasanton, CA -- including fully stocked beverage and snack areas

Contract and temporary roles are not eligible for the above benefits.

Compensation

Pay Range: $150k - $220k salary annually. Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.

Location: This role is not remote. Candidates must be based in the Bay Area, CA and are expected to report to our Pleasanton office 5 days a week.

Engineering Manager

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 an Engineering Manager at Avathon, you will lead the design and delivery of scalable data infrastructure and AI platforms powering industrial intelligence solutions. You will drive cloud-native architectures, production-grade data pipelines, and AI-ready systems that enable advanced analytics and Generative AI applications. Partnering with Engineering, Product, and Applied Science teams, you will translate complex industrial challenges into secure, scalable technology solutions while shaping Avathon's platform engineering strategy. With 5-7 years of experience including team leadership, you will build and grow a high-performing engineering team across onshore and offshore locations.

You Will

• Build and lead an engineering team responsible for Avathon's data and AI platform infrastructure
• Architect scalable industrial data platforms capable of handling high-velocity IoT and telemetry streams
• Design resilient real-time and batch data pipelines that power predictive maintenance, anomaly detection, and optimization use cases
• Establish MLOps frameworks to support continuous model training, deployment, and monitoring
• Partner with AI/ML, Product, and Service Engineering teams to deliver production-ready solutions to customers
• Ensure seamless production handoffs with strong documentation, observability, and SLAs
• Drive cloud infrastructure, DevOps best practices, and security compliance standards
• Scale engineering processes for multi-customer deployments in regulated and government environments

You'll Have

• 5-7 years of experience in software engineering, data engineering, or AI platform engineering
• 2+ years leading technical teams (onshore + offshore preferred)
• Experience designing cloud-native data architectures across AWS, GCP, or Azure
• Strong experience with:
  • Distributed data processing (Spark, Databricks)
  • Streaming technologies (Kafka, Kinesis, IoT Core)
  • Workflow orchestration (Airflow, Dagster, Prefect)
  • Containerization and orchestration (Docker, Kubernetes)
• Experience building and operating production MLOps systems including CI/CD for ML, model registry, experiment tracking, and drift detection
• Strong programming expertise in Python and Django
• Familiarity with React frontend development
• Experience with CI/CD pipelines (Travis CI, Jenkins)
• Experience working with large-scale time-series or industrial telemetry data
• Solid understanding of system reliability, fault tolerance, and high-availability architectures
• Experience managing projects with customer-facing delivery components
• Excellent cross-functional communication skills

Preferred Qualifications

• Experience in industrial AI, manufacturing, energy, utilities, or government sectors
• Exposure to edge computing architectures and data ingestion from industrial systems (OPC UA, Modbus, Ignition, PI Historian)
• Experience working with secure or regulated cloud environments, including on-prem and air-gapped deployments
• Familiarity with data governance and compliance frameworks
• Understanding of predictive maintenance or asset performance use cases
• Experience with LLM observability and evaluation tooling in production environments
• Knowledge of graph databases or knowledge graph platforms

Interview Process

As part of the interview process, you will be asked to complete a technical take-home challenge.

Benefits & Perks

What are the benefits and perks at Avathon? Below are some highlights we offer to our U.S. full-time employees -- we'd love to connect and share more!

• Evolving culture with the opportunity to drive new ideas and technology
• Stock Option Grants
• Medical Coverage and Parental Leave Plans
• 401k with Employer Match
• Monthly Technology Allowance
• Newly renovated office space located near Pleasanton, CA -- including fully stocked beverage and snack areas

Contract and temporary roles are not eligible for the above benefits.

Compensation

Pay Range: $180k - $210k salary annually. Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.

Location: This role is not remote. Candidates must be based in the Bay Area, CA and are expected to report to our Pleasanton office 5 days a week.