Job DescriptionJob Description What Cognite is: Relentless to achieve 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. How you'll demonstrate OwnershipWe are looking for a visionary Principal Full Stack Engineer to join the Atlas AI team. Your work will be central to scaling out AI capabilities throughout our entire product suite, integrating intelligent agents into Cognite's core offerings. You'll help guide the architecture and development of the applications and services that bring these agents to life. The Impact you bring to Cognite 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 Required Qualifications 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. Preferred Experience 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. A snapshot of our many perks and benefits as a Cogniter Competitive compensation 401(k) with employer matching Competitive health, dental, vision & disability coverages for employees and all dependents Unlimited PTO Paid Parental Leave Program Employee Referral Program Join a team of 60+ different nationalities with Diversity, Equality and Inclusion (DEI) in focus . A highly modern and fun working environment with sublime culture across the organization, follow us on to know more Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries Join our HUB ️ to be part of the conversation directly with Cogniters and our partners. Paid mobile phone and WiFI Learn more about us 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. Equal OpportunityCognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.
04/26/2026
Full time
Job DescriptionJob Description What Cognite is: Relentless to achieve 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. How you'll demonstrate OwnershipWe are looking for a visionary Principal Full Stack Engineer to join the Atlas AI team. Your work will be central to scaling out AI capabilities throughout our entire product suite, integrating intelligent agents into Cognite's core offerings. You'll help guide the architecture and development of the applications and services that bring these agents to life. The Impact you bring to Cognite 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 Required Qualifications 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. Preferred Experience 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. A snapshot of our many perks and benefits as a Cogniter Competitive compensation 401(k) with employer matching Competitive health, dental, vision & disability coverages for employees and all dependents Unlimited PTO Paid Parental Leave Program Employee Referral Program Join a team of 60+ different nationalities with Diversity, Equality and Inclusion (DEI) in focus . A highly modern and fun working environment with sublime culture across the organization, follow us on to know more Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries Join our HUB ️ to be part of the conversation directly with Cogniters and our partners. Paid mobile phone and WiFI Learn more about us 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. Equal OpportunityCognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.
Job DescriptionJob Description What Cognite is: Relentless to achieve 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. How you'll demonstrate Ownership We are seeking an AI Platform Engineer to join the Cognite Atlas AI Product team in Phoenix, AZ, to engineer, build, and operate the production-grade, multi-cloud platform that enables our internal and partner teams to build, deploy, and manage industrial AI agents. You will be responsible for creating the core services, frameworks, and infrastructure for our "agent builder workbench" and agent runtime, focusing on scalability, reliability, cost-efficiency, and security. Your work will directly impact industrial efficiency and sustainability, which is critical to our mission of powering a high-tech, sustainable, and profitable industrial future. The Impact you bring to Cognite Design, build, and maintain the core Python SDKs and services for the Atlas AI platform. Create clean abstractions that empower Solution Engineers to easily define and test agents and workflows. Build the core agentic runtime, ensuring it is scalable, meets its SLOs, and can reliably manage the state, orchestration, and execution of industrial agents. Develop a robust, governed, and secure framework for AI agent tool-use. Engineer the platform components that allow solution engineers to safely add new tools (e.g., API calls, database queries) and that manage the secure execution, monitoring, and access control for those tools. Manage the LLM serving layer, including deploying and optimizing models for low-latency/high-throughput inference. Build and maintain model routing logic to select the most appropriate model (e.g., performance vs. cost) for a given task. Implement evaluation and observability for all AI services. Create standardized frameworks for systematically evaluating the performance, accuracy, cost, and safety of LLMs and agentic workflows. Drive the implementation of robust, automated testing strategies for LLM-based systems. Own the full development lifecycle for services in a production SaaS environment. This includes establishing automated code coverage goals, rigorous code reviews, defining SLOs, participating in on-call rotations, and ensuring a fast and effective incident response process. Work closely with the Lead Architect to translate the technical vision into implemented, production-grade services. Act as a key partner for the Solution Engineers (your internal customers) to understand their needs and abstract common patterns into reusable, robust platform components. Stay up to date on the latest developments in the field, and mentor junior developers. Required Qualifications Bachelor's or Master's degree in Computer Science or a related field, or equivalent practical experience. 8+ years of professional experience in backend software engineering, platform engineering, or MLOps, with a proven track record of architecting and operating complex systems at scale. 2+ years of hands-on experience building applications or platforms on top of AI/ML models or LLMs. Expert-level proficiency in Python and a strong background in software architecture, robust API design, and building maintainable, well-documented SDKs for other developers. Hands-on experience with Kubernetes (K8s) and building services on managed PaaS in a multi-cloud environment (AWS, Azure, GCP). Strong understanding of Infrastructure as Code (e.g., Terraform). Proven experience building and operating production-grade SaaS software. Understanding of the full development life cycle, including CI/CD, monitoring, telemetry, and on-call incident response. Practical experience with LLM orchestration frameworks (Bedrock, Vertex, Semantic Kernel, LangChain). Strong verbal and written communication skills, with the ability to articulate complex technical designs and decisions clearly. Preferred Experience Hands-on experience deploying and managing LLMs in production using high-performance serving frameworks. Experience with MLOps/LLMOps tools for tracing, monitoring, and evaluating LLM applications (LangSmith, Arize, Phoenix, or equivalent). Experience with RAG Infrastructure, embedding generation pipelines, vector database integrations, and high-performance vector similarity search APIs. A snapshot of our many perks and benefits as a Cogniter Competitive compensation 401(k) with employer matching Competitive health, dental, vision & disability coverages for employees and all dependents Unlimited PTO Paid Parental Leave Program Employee Referral Program Join a team of 60+ different nationalities with Diversity, Equality and Inclusion (DEI) in focus . A highly modern and fun working environment with sublime culture across the organization, follow us on to know more Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries Join our HUB ️ to be part of the conversation directly with Cogniters and our partners. Paid mobile phone and WiFILearn more about us 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. Equal OpportunityCognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.
04/26/2026
Full time
Job DescriptionJob Description What Cognite is: Relentless to achieve 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. How you'll demonstrate Ownership We are seeking an AI Platform Engineer to join the Cognite Atlas AI Product team in Phoenix, AZ, to engineer, build, and operate the production-grade, multi-cloud platform that enables our internal and partner teams to build, deploy, and manage industrial AI agents. You will be responsible for creating the core services, frameworks, and infrastructure for our "agent builder workbench" and agent runtime, focusing on scalability, reliability, cost-efficiency, and security. Your work will directly impact industrial efficiency and sustainability, which is critical to our mission of powering a high-tech, sustainable, and profitable industrial future. The Impact you bring to Cognite Design, build, and maintain the core Python SDKs and services for the Atlas AI platform. Create clean abstractions that empower Solution Engineers to easily define and test agents and workflows. Build the core agentic runtime, ensuring it is scalable, meets its SLOs, and can reliably manage the state, orchestration, and execution of industrial agents. Develop a robust, governed, and secure framework for AI agent tool-use. Engineer the platform components that allow solution engineers to safely add new tools (e.g., API calls, database queries) and that manage the secure execution, monitoring, and access control for those tools. Manage the LLM serving layer, including deploying and optimizing models for low-latency/high-throughput inference. Build and maintain model routing logic to select the most appropriate model (e.g., performance vs. cost) for a given task. Implement evaluation and observability for all AI services. Create standardized frameworks for systematically evaluating the performance, accuracy, cost, and safety of LLMs and agentic workflows. Drive the implementation of robust, automated testing strategies for LLM-based systems. Own the full development lifecycle for services in a production SaaS environment. This includes establishing automated code coverage goals, rigorous code reviews, defining SLOs, participating in on-call rotations, and ensuring a fast and effective incident response process. Work closely with the Lead Architect to translate the technical vision into implemented, production-grade services. Act as a key partner for the Solution Engineers (your internal customers) to understand their needs and abstract common patterns into reusable, robust platform components. Stay up to date on the latest developments in the field, and mentor junior developers. Required Qualifications Bachelor's or Master's degree in Computer Science or a related field, or equivalent practical experience. 8+ years of professional experience in backend software engineering, platform engineering, or MLOps, with a proven track record of architecting and operating complex systems at scale. 2+ years of hands-on experience building applications or platforms on top of AI/ML models or LLMs. Expert-level proficiency in Python and a strong background in software architecture, robust API design, and building maintainable, well-documented SDKs for other developers. Hands-on experience with Kubernetes (K8s) and building services on managed PaaS in a multi-cloud environment (AWS, Azure, GCP). Strong understanding of Infrastructure as Code (e.g., Terraform). Proven experience building and operating production-grade SaaS software. Understanding of the full development life cycle, including CI/CD, monitoring, telemetry, and on-call incident response. Practical experience with LLM orchestration frameworks (Bedrock, Vertex, Semantic Kernel, LangChain). Strong verbal and written communication skills, with the ability to articulate complex technical designs and decisions clearly. Preferred Experience Hands-on experience deploying and managing LLMs in production using high-performance serving frameworks. Experience with MLOps/LLMOps tools for tracing, monitoring, and evaluating LLM applications (LangSmith, Arize, Phoenix, or equivalent). Experience with RAG Infrastructure, embedding generation pipelines, vector database integrations, and high-performance vector similarity search APIs. A snapshot of our many perks and benefits as a Cogniter Competitive compensation 401(k) with employer matching Competitive health, dental, vision & disability coverages for employees and all dependents Unlimited PTO Paid Parental Leave Program Employee Referral Program Join a team of 60+ different nationalities with Diversity, Equality and Inclusion (DEI) in focus . A highly modern and fun working environment with sublime culture across the organization, follow us on to know more Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries Join our HUB ️ to be part of the conversation directly with Cogniters and our partners. Paid mobile phone and WiFILearn more about us 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. Equal OpportunityCognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.
Job DescriptionJob Description What Cognite is: Relentless to achieve 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. We are looking for a Senior Backend Software Engineer to be a core contributor in scaling our AI capabilities. Your work will be central to building the robust, scalable backend services that power intelligent agents and integrate them into Cognite's core offerings. You will help define the architecture that brings these agents to life, ensuring they are reliable, performant, and secure. How you'll demonstrate Ownership Build Scalable Systems: Design and implement resilient backend services and APIs that can handle high volumes of industrial data and complex AI workflows. Orchestrate Industrial AI: Evaluate, implement, and benchmark Large Language Models (LLMs) and AI agents, focusing on the backend infrastructure required to serve these models at scale. Drive Operational Excellence: Champion a "built to run" mindset by implementing comprehensive telemetry, automated testing, and CI/CD patterns to ensure our SaaS offerings meet strict SLOs. Collaborate Cross-Functionally: Work closely with frontend engineers, product managers, and industrial domain experts to translate complex customer needs into elegant technical solutions. The Impact you bring to Cognite Develop and maintain high-performance backend services primarily in Python, ensuring high code quality and test coverage. Build and manage infrastructure on Kubernetes across a multi-cloud environment (Azure, AWS, GCP). Design and optimize data schemas and access patterns for industrial time-series and relational data. Backend integration of generative AI capabilities, including RAG pipelines and agentic workflows. Participate in on-call rotations and take ownership of the production health of the services you build. Mentor mid-level and junior engineers through technical guidance and architectural oversight. Required Qualifications 5+ years of professional software development experience, with a focus on backend systems. Python Expertise: Authoritative knowledge of Python and its ecosystem. Experience with other languages like Kotlin, Java, or Rust is a plus. Cloud Native Proficiency: Extensive experience designing and operating large-scale systems in a multi-cloud environment using Kubernetes, Docker, and Terraform. Distributed Systems: Proven track record of building scalable APIs and microservices that interact with complex data stores (SQL, NoSQL, or Graph databases). Preferred Experience Applied AI Interest: A strong interest in (or experience with) LLMs and AI/ML frameworks. You are excited to build the "plumbing" that makes AI useful in a production industrial setting. Ownership Mentality: You don't just write code; you take responsibility for how that code performs in production and how it solves the customer's problem. Communication: Excellent verbal and written English communication skills; able to explain complex architectural trade-offs to both technical and non-technical stakeholders. Experience building production-grade applications on top of LLMs (OpenAI, Anthropic, LangChain, etc.). Knowledge of GraphQL or graph databases (e.g., Neo4j). Familiarity with industrial protocols (OPC-UA, MQTT) or time-series databases. Prior experience in a high-growth SaaS environment with a strong engineering culture. Experience with Infrastructure as Code (e.g., Terraform) and managing containerized workloads in Kubernetes. Familiarity with building and maintaining automated deployment pipelines using Jenkins, GitHub Actions, or similar tools. A snapshot of our many perks and benefits as a Cogniter Competitive compensation 401(k) with employer matching Competitive health, dental, vision & disability coverages for employees and all dependents Unlimited PTO Paid Parental Leave Program Employee Referral Program Join a team of 60+ different nationalities with Diversity, Equality and Inclusion (DEI) in focus . A highly modern and fun working environment with sublime culture across the organization, follow us on to know more Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries Join our HUB ️ to be part of the conversation directly with Cogniters and our partners. Paid mobile phone and WiFiLearn more about us 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. Equal OpportunityCognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.
04/26/2026
Full time
Job DescriptionJob Description What Cognite is: Relentless to achieve 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. We are looking for a Senior Backend Software Engineer to be a core contributor in scaling our AI capabilities. Your work will be central to building the robust, scalable backend services that power intelligent agents and integrate them into Cognite's core offerings. You will help define the architecture that brings these agents to life, ensuring they are reliable, performant, and secure. How you'll demonstrate Ownership Build Scalable Systems: Design and implement resilient backend services and APIs that can handle high volumes of industrial data and complex AI workflows. Orchestrate Industrial AI: Evaluate, implement, and benchmark Large Language Models (LLMs) and AI agents, focusing on the backend infrastructure required to serve these models at scale. Drive Operational Excellence: Champion a "built to run" mindset by implementing comprehensive telemetry, automated testing, and CI/CD patterns to ensure our SaaS offerings meet strict SLOs. Collaborate Cross-Functionally: Work closely with frontend engineers, product managers, and industrial domain experts to translate complex customer needs into elegant technical solutions. The Impact you bring to Cognite Develop and maintain high-performance backend services primarily in Python, ensuring high code quality and test coverage. Build and manage infrastructure on Kubernetes across a multi-cloud environment (Azure, AWS, GCP). Design and optimize data schemas and access patterns for industrial time-series and relational data. Backend integration of generative AI capabilities, including RAG pipelines and agentic workflows. Participate in on-call rotations and take ownership of the production health of the services you build. Mentor mid-level and junior engineers through technical guidance and architectural oversight. Required Qualifications 5+ years of professional software development experience, with a focus on backend systems. Python Expertise: Authoritative knowledge of Python and its ecosystem. Experience with other languages like Kotlin, Java, or Rust is a plus. Cloud Native Proficiency: Extensive experience designing and operating large-scale systems in a multi-cloud environment using Kubernetes, Docker, and Terraform. Distributed Systems: Proven track record of building scalable APIs and microservices that interact with complex data stores (SQL, NoSQL, or Graph databases). Preferred Experience Applied AI Interest: A strong interest in (or experience with) LLMs and AI/ML frameworks. You are excited to build the "plumbing" that makes AI useful in a production industrial setting. Ownership Mentality: You don't just write code; you take responsibility for how that code performs in production and how it solves the customer's problem. Communication: Excellent verbal and written English communication skills; able to explain complex architectural trade-offs to both technical and non-technical stakeholders. Experience building production-grade applications on top of LLMs (OpenAI, Anthropic, LangChain, etc.). Knowledge of GraphQL or graph databases (e.g., Neo4j). Familiarity with industrial protocols (OPC-UA, MQTT) or time-series databases. Prior experience in a high-growth SaaS environment with a strong engineering culture. Experience with Infrastructure as Code (e.g., Terraform) and managing containerized workloads in Kubernetes. Familiarity with building and maintaining automated deployment pipelines using Jenkins, GitHub Actions, or similar tools. A snapshot of our many perks and benefits as a Cogniter Competitive compensation 401(k) with employer matching Competitive health, dental, vision & disability coverages for employees and all dependents Unlimited PTO Paid Parental Leave Program Employee Referral Program Join a team of 60+ different nationalities with Diversity, Equality and Inclusion (DEI) in focus . A highly modern and fun working environment with sublime culture across the organization, follow us on to know more Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries Join our HUB ️ to be part of the conversation directly with Cogniters and our partners. Paid mobile phone and WiFiLearn more about us 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. Equal OpportunityCognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.
Job DescriptionJob Description What Cognite is: Relentless to achieve 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. How you'll demonstrate Ownership We are seeking a customer-focused Software Engineering Manager at Cognite's HQ in Phoenix, AZ to lead a team of 5-10 engineers, developing services and applications for industrial AI. Atlas AI is Cognite's agent builder workbench and agentic runtime that uses LLMs, RAG, and other tools to help optimize and automate industrial business processes leveraging a contextualized knowledge graph. In this role, you will be responsible for leading a high-performing team to drive the development of technologies that transform industrial operations and make data interaction intuitive, effortless, and empowering. Your work will directly impact industrial efficiency and sustainability, which is critical to our mission of powering a high-tech, sustainable, and profitable industrial future. The ideal candidate will have a proven track record of leading technology teams, a deep understanding of SaaS software, and a passion for driving innovation. As a technical leader, you will collaborate with a cross-functional team consisting of designers, product managers, and program managers to ensure the team builds the right product that is of excellent quality and is delivered on time. The Impact you bring to Cognite Lead a team of 5-10 software engineers. Develop services, applications, and AI agents and tools to enable industrial software customers to unlock the value of their operational data, and automate complex workflows. Drive the team to build, operate, and support production-grade SaaS software, including establishing on-call rotations, defining service level objectives (SLOs), and ensuring a fast and effective incident response process. Champion a culture of quality by establishing automated code coverage goals, implementing comprehensive telemetry and monitoring for all services, and developing robust testing strategies to ensure the reliability and scalability of our industrial AI solutions. Coach engineers to have a high impact on the team, regardless of their background, seniority, or understanding of the domain. Collaborate with a cross-functional team consisting of designers, product managers and program managers to ensure the team builds the right product, that is of excellent quality and is delivered on time. Collaborate with industrial domain experts to deeply understand pain points, unmet needs, and opportunities to enhance operational efficiency through AI and data liberation. Unblock the team and collaborate with stakeholders outside the team to resolve and mitigate problems. Help your team with code reviews and documentation, and write code yourself. Required Qualifications Bachelor's or Master's degree in Computer Science or related field, or equivalent practical experience. 10+ years of software engineering experience. 5+ years of experience leading and managing software engineers. Expertise relevant to our tech stack. Kubernetes systems in a multi-cloud environment (Azure, AWS, GCP), frontend TypeScript and React, backend Python. Understanding of software engineering and best practices for the full development life cycle including coding standards, build processes, testing, and operations. Understanding of generative AI and/or machine learning, and familiarity with the tools and methodologies around them, for instance for measuring accuracy. Preferred Experience Experience building applications on top of AI/ML models or large language models (LLMs). Strong verbal and written communication skills. A genuine and keen interest in building the competency of engineers. A snapshot of our many perks and benefits as a Cogniter Competitive compensation 401(k) with employer matching Competitive health, dental, vision & disability coverages for employees and all dependents Unlimited PTO Paid Parental Leave Program Employee Referral Program Join a team of 60+ different nationalities with Diversity, Equality and Inclusion (DEI) in focus . A highly modern and fun working environment with sublime culture across the organization, follow us on to know more Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries Join our HUB ️ to be part of the conversation directly with Cogniters and our partners. Paid mobile phone and WiFILearn more about us 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. Equal OpportunityCognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.
04/26/2026
Full time
Job DescriptionJob Description What Cognite is: Relentless to achieve 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. How you'll demonstrate Ownership We are seeking a customer-focused Software Engineering Manager at Cognite's HQ in Phoenix, AZ to lead a team of 5-10 engineers, developing services and applications for industrial AI. Atlas AI is Cognite's agent builder workbench and agentic runtime that uses LLMs, RAG, and other tools to help optimize and automate industrial business processes leveraging a contextualized knowledge graph. In this role, you will be responsible for leading a high-performing team to drive the development of technologies that transform industrial operations and make data interaction intuitive, effortless, and empowering. Your work will directly impact industrial efficiency and sustainability, which is critical to our mission of powering a high-tech, sustainable, and profitable industrial future. The ideal candidate will have a proven track record of leading technology teams, a deep understanding of SaaS software, and a passion for driving innovation. As a technical leader, you will collaborate with a cross-functional team consisting of designers, product managers, and program managers to ensure the team builds the right product that is of excellent quality and is delivered on time. The Impact you bring to Cognite Lead a team of 5-10 software engineers. Develop services, applications, and AI agents and tools to enable industrial software customers to unlock the value of their operational data, and automate complex workflows. Drive the team to build, operate, and support production-grade SaaS software, including establishing on-call rotations, defining service level objectives (SLOs), and ensuring a fast and effective incident response process. Champion a culture of quality by establishing automated code coverage goals, implementing comprehensive telemetry and monitoring for all services, and developing robust testing strategies to ensure the reliability and scalability of our industrial AI solutions. Coach engineers to have a high impact on the team, regardless of their background, seniority, or understanding of the domain. Collaborate with a cross-functional team consisting of designers, product managers and program managers to ensure the team builds the right product, that is of excellent quality and is delivered on time. Collaborate with industrial domain experts to deeply understand pain points, unmet needs, and opportunities to enhance operational efficiency through AI and data liberation. Unblock the team and collaborate with stakeholders outside the team to resolve and mitigate problems. Help your team with code reviews and documentation, and write code yourself. Required Qualifications Bachelor's or Master's degree in Computer Science or related field, or equivalent practical experience. 10+ years of software engineering experience. 5+ years of experience leading and managing software engineers. Expertise relevant to our tech stack. Kubernetes systems in a multi-cloud environment (Azure, AWS, GCP), frontend TypeScript and React, backend Python. Understanding of software engineering and best practices for the full development life cycle including coding standards, build processes, testing, and operations. Understanding of generative AI and/or machine learning, and familiarity with the tools and methodologies around them, for instance for measuring accuracy. Preferred Experience Experience building applications on top of AI/ML models or large language models (LLMs). Strong verbal and written communication skills. A genuine and keen interest in building the competency of engineers. A snapshot of our many perks and benefits as a Cogniter Competitive compensation 401(k) with employer matching Competitive health, dental, vision & disability coverages for employees and all dependents Unlimited PTO Paid Parental Leave Program Employee Referral Program Join a team of 60+ different nationalities with Diversity, Equality and Inclusion (DEI) in focus . A highly modern and fun working environment with sublime culture across the organization, follow us on to know more Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries Join our HUB ️ to be part of the conversation directly with Cogniters and our partners. Paid mobile phone and WiFILearn more about us 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. Equal OpportunityCognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.