--- title: 'Software Engineer at Cognite - AI for Industry' canonical: 'https://feeny.ai/job/software-engineer-cognite-ai-for-industry-bengaluru-ha6dj4308dr9' type: 'job' last_seen: '2026-11-12' --- # Software Engineer at Cognite - AI for Industry - **Company:** Cognite - AI for Industry - **Location:** Bengaluru, India - **Posted:** 2026-11-12 - **Last confirmed live:** 2026-11-12 - **Apply:** https://job-boards.eu.greenhouse.io/cognite/jobs/5034410101 ## Job 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](https://www.cognite.com/en/company/newsroom/cognite-s-industrial-ai-momentum-soars-driving-ecosystem-impact-at-global-conference) 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 Cognite Cognite operates at the forefront of industrial digitalization, building AI and data solutions that solve some of the world’s hardest, highest-impact problems. We move fast, set ambitious standards, and tackle complexity with precision and drive. Our moonshot is bold: unlock $100B in customer value by 2035 and redefine how global industry works. We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward—not step back—you’ll feel at home here. ## About the Role We are looking for a Software Engineer with 1- 3 years of experience to join our engineering team and build scalable backend systems and data platforms that process large volumes of industrial data. You will work on distributed systems, data processing, cloud infrastructure, and backend services, solving complex engineering challenges while collaborating closely with product and engineering teams. ## How you’ll demonstrate Ownership - Design, develop, and maintain scalable backend services and microservices that support high-volume industrial data workloads. - Build and improve distributed data pipelines using technologies such as Spark, Kafka, and Flink. - Develop reliable, high-performance APIs and backend services with a focus on scalability, availability, and maintainability. - Work with large datasets and optimize data processing, storage, and retrieval workflows. - Contribute to system design and architecture discussions, making thoughtful technical decisions around scalability and reliability. - Troubleshoot production issues, identify root causes, and implement long-term solutions to improve system performance and reliability. - Write clean, maintainable, well-tested code and actively participate in code reviews and engineering best practices. - Collaborate with Product Managers, Engineers, and cross-functional teams to deliver high-quality solutions. The Impact you bring to Cognite You will play a key role in building the backend and data infrastructure that powers Cognite’s industrial data platform. Your work will directly contribute to making large-scale industrial data more accessible, reliable, and performant for our customers. You will have the opportunity to work on challenging distributed systems problems, handle large volumes of data, and contribute to a highly scalable cloud-native platform used across global industrial organizations. Required Qualifications - 1–3 years of experience in software engineering, backend development, or distributed systems. - Strong programming experience in Java, Scala, or Python, with a solid understanding of data structures, algorithms, and object-oriented programming. - Hands-on experience with backend services, microservices, REST APIs, and SQL/NoSQL databases. - Good understanding of distributed systems, scalability, performance, and reliability concepts. ## Preferred Experience - Experience with distributed data technologies such as Apache Spark, Kafka, or Flink. - Experience working with AWS, Azure, or GCP, along with Docker/Kubernetes or cloud-native technologies. - Experience with CI/CD, observability, monitoring, and production troubleshooting in large-scale systems. Learn more about us - [Impact 2025](https://www.cognite.com/en/resources/blog/key-highlights-from-impact-2025) - [Cognite's Industrial AI: Moonshot](https://www.cognite.com/en/company/newsroom/cognite-s-industrial-ai-momentum-soars-driving-ecosystem-impact-at-global-conference) - We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi. ## Equal Opportunity Cognite 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. ## About Cognite - AI for Industry ## Company Overview - **One-liner**: Cognite delivers industrial AI software that unifies siloed operational data to help energy, process manufacturing, and other industrial companies improve production efficiency and scale AI solutions. - **Entity Type**: Private (backed by Aker ASA, total funding of $338.9M) - **Headquarters**: Tempe, Arizona, United States (global HQ; also Lysaker, Norway) - **Founded**: 2016 - **Founders**: Not publicly available (co-founded by a team with industrial and tech backgrounds) ## Core Business - **Primary industries**: Industrial AI, Industrial DataOps, Energy (oil & gas, renewables), Process Manufacturing, Power & Utilities - **Target customers**: B2B – enterprise industrial companies (energy, manufacturing, chemicals, etc.) - **Mission or purpose**: “Power a high-tech, sustainable, and profitable industrial future” — enabling industrial teams to move faster, work safer, and achieve more with AI. ## Products & Services - **Cognite Data Fusion®**: Open Industrial DataOps platform that contextualizes operational, engineering, and IT data into a real-time Industrial Knowledge Graph, making data accessible for AI and analytics. (SaaS/platform) - **Cognite Atlas AI™**: Low-code industrial AI agent workbench for building and deploying agentic AI to automate complex operational tasks. (AI agent platform) - **Cognite Flows™**: Tool for building and scaling production-ready industrial workflows 100x faster. (Workflow automation) - **Composable reference applications**: Pre-built solutions for production optimization, smart maintenance, workforce digitalization, and sustainability. ## Market Standing - **Valuation/Market Cap**: Not disclosed (private company) - **Key Metric**: Total funding $338.9M (5 rounds); Annual revenue SEK 790.7M (approx. $75M based on current exchange rates, but exact USD not given) - **Notable Investors/Partners**: Parent company Aker ASA; partners include Microsoft, Aker BP, Sopra Steria, Omny, Aize, and others. Recognized as a Leader in IDC MarketScape for Industrial DataOps Platforms. - **Growth Signals**: 663 employees (+20.9% YoY); 102 active job postings (+67.2% YoY); LinkedIn followers 103,713 (+65.8% yearly); committed to delivering $100B in customer value by 2035; customers report 30-80% reduction in maintenance time and 4-month deployment cycles. ## Competitive Advantages - **Industrial domain expertise**: Deep specialization in heavy industry (energy, process manufacturing) with a platform built for complex OT/IT data integration. - **Open ecosystem**: Works with any cloud, any data source, any LLM, enabling flexible partnerships and off-the-shelf integrations. - **Low-code AI agents**: Cognite Atlas AI allows domain experts to build AI agents without deep coding, speeding adoption. - **Proven ROI**: Customers report 10x productivity improvements, rapid scaling (e.g., from pilot to 9 facilities in months), and significant downtime reduction. ## Strategic Focus - **Scaling industrial AI**: Accelerate time-to-value with pre-built solutions, AI agents, and use-case best practices. - **Global expansion**: Growing presence in Americas (Tempe, Austin, Houston), Europe (Oslo), Asia (Tokyo, Bengaluru). - **Customer value commitment**: Ambitious goal of $100B in customer value by 2035. - **Partner ecosystem**: Deepening integrations with cloud providers, system integrators, and industrial software vendors. ## Why Work Here - **Culture**: Values of Relentless (innovation, learning from setbacks), Ownership (shared responsibility, inclusivity), and Impact (result-oriented, adding value to team and customers). Described as “smart, passionate builders, and problem solvers.” - **Remote/Hybrid/Office**: Hybrid model with offices in Tempe, Austin, Houston, Oslo, Tokyo, Bengaluru. Some roles listed as “USA (remote)” indicating flexibility for certain positions. - **Diversity**: Employees from 60+ countries; global team of engineers, product managers, domain experts. - **Perks & Growth**: Opportunity to work on “biggest impact on our planet” — industrial AI at scale; strong investment in R&D and career development; fast-growing company with 100+ open roles. - **Engineering culture**: Emphasis on AI, data engineering, machine learning, and full-stack development; roles like Senior AI Engineer, ML Engineer, Data Engineer, Applied AI Engineer. ## Sources 1. [cognite.com](https://www.cognite.com/en) 2. [cognite.com](https://www.cognite.com/en/company/about-us-cognite) 3. [cognite.com](https://www.cognite.com/en/company/careers) 4. [linkedin.com](https://www.linkedin.com/company/cognitedata) 5. [cbinsights.com](https://www.cbinsights.com/company/cognite) ## Other roles at Cognite - AI for Industry - [Data Engineer](https://feeny.ai/job/data-engineer-cognite-ai-for-industry-mexico-city-ciudad-de-mexico-tvtv7aw8zcbb) — Mexico City Ciudad de México, Mexico / Monterrey Nuevo León, Mexico / Tijuana Baja California, Mexico - [Senior Software Engineer](https://feeny.ai/job/senior-software-engineer-cognite-ai-for-industry-bengaluru-09tka7vhngh4) — Bengaluru, India - [Data Scientist](https://feeny.ai/job/data-scientist-cognite-ai-for-industry-mexico-city-ciudad-de-mexico-n5kc9zct4cqc) — Mexico City Ciudad de México, Mexico / Monterrey Nuevo León, Mexico / Tijuana Baja California, Mexico - [Engineering Manager, Atlas AI](https://feeny.ai/job/engineering-manager-atlas-ai-cognite-ai-for-industry-phoenix-z120nn4w483x) — Phoenix, AZ - [Senior Solution Architect](https://feeny.ai/job/senior-solution-architect-cognite-ai-for-industry-mexico-city-ciudad-de-mexico-p2r8zr16fdwr) — Mexico City Ciudad de México, Mexico / Monterrey Nuevo León, Mexico / Tijuana Baja California, Mexico - [Senior Solution Architect](https://feeny.ai/job/senior-solution-architect-cognite-ai-for-industry-oslo-nagsfasyvn5p) — Oslo, Norway - [Senior Solution Architect](https://feeny.ai/job/senior-solution-architect-cognite-ai-for-industry-houston-pcym041j25fq) — Houston, TX - [Senior Software Engineer - Backend, Knowledge Graph](https://feeny.ai/job/senior-software-engineer-backend-knowledge-graph-cognite-ai-for-industry-oslo-2n5kq6e2qkny) — Oslo, Norway - [Cognite Academy Engineer](https://feeny.ai/job/cognite-academy-engineer-cognite-ai-for-industry-phoenix-4pf24w5fyayh) — Phoenix, AZ - [Product Manager](https://feeny.ai/job/product-manager-cognite-ai-for-industry-oslo-yn811jndsmce) — Oslo, Norway