Responsibilities
- Shape the architecture by guiding the long-term technical vision for the Atlas AI platform and influencing key decisions that define its future
- Build a world-class user experience by creating intuitive interfaces that transform complex industrial knowledge into clear and actionable visuals
- Evaluate and implement AI by testing and benchmarking Large Language Models to choose the best tools for solving industrial challenges
- Mentor and elevate the team by supporting both senior and junior engineers and fostering a culture of excellence, innovation, and growth
- Champion best practices by driving high standards in code quality, testing, deployment, and operations in a multi-cloud environment
Who You Are
- You have a mastery of computer science fundamentals and a proven track record of designing and building complex, scalable, and resilient systems.
- You possess authoritative expertise in our primary frontend stack: TypeScript and React. While experience with frameworks like Angular or Vue is valuable, deep React knowledge is key.
- You have extensive, hands-on experience with backend languages, particularly Python, which powers much of our backend. Experience with other languages like Kotlin, Java, or Rust is a significant plus.
- You have deep, practical experience designing and operating large-scale systems in a multi-cloud environment (AWS, GCP, and Azure) using technologies like Kubernetes.
- You have a profound interest in applied AI, including working with multiple LLMs, and are excited to build products that leverage the latest advancements in the field.
- You have a proven history of mentoring engineers and leading large, impactful technical projects.
- You excel at communicating complex technical ideas to diverse audiences and thrive in a collaborative, English-speaking environment.
Bonus Points
- Experience building applications on top of AI/ML models or large language models (LLMs).
- Knowledge of GraphQL or graph databases.
- A demonstrated history of presenting at conferences or meetups.
- Prior experience in industrial software, IoT, or large-scale data visualization.
Top Skills
What We Do
Cognite is an AI company that delivers industrial software to improve the production efficiency of Energy, Process Manufacturing, and other industrial companies.
We deliver an Industrial DataOps platform that liberates siloed data and empowers our customers to solve some of their most complex business problems with AI-powered solutions. The typical solutions we enable drive innovative new ways to approach Data Exploration, Digital Operator Rounds, Production Optimization, Turnaround Planning, and Root Cause Analysis.
We do this by automating and scaling industrial data contextualization of various sources (such as time series, engineering diagrams, equipment logs, maintenance records, 3D facility models, images, large point clouds, and more). We use AI and other tools to find and map the meaningful relationships between the data across these various sources. In addition, we provide intuitive tools that enable efficient use of analytics and automated workflows, as well as prebuilt AI capabilities and a low-code industrial agent builder, Cognite Atlas AI, that enables AI to carry out more complex operations with greater accuracy.
Why Work With Us
Employees at Cognite are pushing the envelope with the latest cloud technology, scaling industrial applications across hundreds of assets, revolutionizing industrial data models, and working with robotics. Cogniters are fast, creative, and resilient. We keep the energy high and fun, learning from our mistakes and celebrating our victories together.
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