Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.
We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here.
Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.
About the Role:
We are looking for a Senior Software Engineer to lead the production systems for our Context Services team. You will serve as the bridge between our Applied Scientists/AI Engineers and the central Platform Engineering team. In this role, you will focus on turning complex analytical solutions—ranging from traditional ML/DL models to modern LLM agents—into highly reliable, production-grade software services.
Key Responsibilities:
- Architecture & Scale: Design robust system architectures and develop low-latency APIs/services capable of supporting thousands of concurrent users with sub-second response times.
- Cross-Functional Problem Solving: Collaborate closely with product, architecture, and AI teams to translate complex industrial data problems into scalable solutions.
- AI & LLM Orchestration: Architect frameworks for model serving, vector databases, and agentic workflows (LLM agents), ensuring reliable state management and prompt tracking.
- Platform Integration: Act as the technical liaison with the central Platform team, leveraging core infrastructure to build reliable AI pipelines and workflows.
- Innovation: Drive technical innovation through research, prototyping, and potential contributions to open-source initiatives.
Qualifications & Skills:
- Experience: 6–10 years of industry experience in Software Engineering, Backend Engineering, or Systems Engineering, with exposure to AI, ML, or LLM-based production systems.
- Programming: Strong proficiency in Python and experience building high-concurrency applications, asynchronous programming, or REST/gRPC APIs.
- Systems: Solid understanding of containerization (Docker) and modern deployment environments (such as Kubernetes or cloud platforms).
- AI Knowledge: Familiarity with the broader AI lifecycle—including traditional model registries, vector databases, or LLM evaluation frameworks—is a major plus, but a strong ability to learn new paradigms is essential.
- Impact 2025
- Cognite's Industrial AI: Moonshot
- We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.
Skills Required
- 6–10 years of industry experience in software engineering, backend engineering, or systems engineering
- Exposure to AI, machine learning, or LLM-based production systems
- Strong proficiency in Python
- Experience building high-concurrency applications, asynchronous systems, or REST/gRPC APIs
- Understanding of containerization with Docker
- Experience with Kubernetes or cloud-based deployment environments
- Familiarity with AI lifecycle technologies such as model registries, vector databases, or LLM evaluation frameworks
- Ability to learn new AI and software engineering paradigms
Cognite Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cognite and has not been reviewed or approved by Cognite.
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Affordable Benefits — Healthcare premiums for employees and dependents are often fully covered, reducing out‑of‑pocket costs. Feedback suggests this makes the total rewards feel competitive in key markets.
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Parental & Family Support — Paid parental leave for primary and secondary caregivers is described as generous. This signals a family‑friendly approach that many consider a standout perk.
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Leave & Time Off Breadth — Unlimited PTO with a company‑wide year‑end shutdown offers ample time away from work. Flexible time‑off options are consistently highlighted across U.S. roles.
Cognite Insights
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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