AVEVA is creating software trusted by over 90% of leading industrial companies.

Job Title: R&D Senior Member of Technical Staff

Location: Bangalore

Employment Type: Regular, full-time, hybrid work arrangement

The job

Experienced DevOps and Infrastructure Engineer responsible for designing, automating, and supporting scalable cloud and on-premises platforms that enable reliable software delivery. Collaborates with development, product, and architecture teams to build and optimize CI/CD pipelines, infrastructure, monitoring, and operational processes. Drives automation, environment management, incident resolution, and continuous improvement initiatives to enhance system reliability, performance, and developer productivity. Leverages expertise in Azure/AWS, Infrastructure-as-Code, containers, scripting, and DevOps best practices while supporting enterprise-scale applications and services

Key responsibilities

Collaborate with development, product management, and architecture teams to enhance developer platforms and support delivery of critical business applications and services.
Design, implement, and maintain solutions that improve the availability, performance, reliability, and scalability of systems and applications.
Participate in the design, deployment, administration, and support of cloud and on-premises infrastructure.
Develop, maintain, and document DevOps processes, standards, and operational procedures to promote engineering best practices.
Manage and automate the lifecycle of Development, QA, Staging, and Production environments across cloud and on-premises platforms.
Build and maintain infrastructure required for multiple development and testing environments, ensuring consistency, stability, and release readiness.
Implement, maintain, and optimize CI/CD pipelines to enable efficient and reliable software delivery.
Troubleshoot and resolve build, deployment, release, and environment-related issues to minimize delivery disruptions.
Evaluate and integrate new tools, technologies, and automation capabilities to improve developer productivity and operational efficiency.
Develop and maintain automation scripts and tools for cloud infrastructure, application deployment, and operational management.
Create monitoring, logging, tracing, deployment, and self-healing solutions to improve system reliability and reduce manual operational effort.
Support incident response, root cause analysis, and continuous improvement initiatives to enhance platform stability and service availability.
Mentor junior engineers and contribute to the adoption of DevOps best practices across the engineering organization.

Essential requirements

Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field.
5+ years of experience in DevOps, Cloud Operations, Infrastructure Engineering, or a related role.
Strong understanding of software development, systems administration, and operational support practices.
Demonstrated ability to collaborate effectively with developers, architects, product managers, and cross-functional teams.
Proven experience driving automation initiatives to improve operational efficiency and developer productivity.
Strong analytical and problem-solving skills with the ability to troubleshoot complex technical issues.
Ability to communicate technical concepts effectively to both technical and non-technical stakeholders.
Sound judgment, ownership mindset, and ability to prioritize and escalate issues when appropriate.
Experience working in Agile and DevOps environments supporting enterprise-scale applications and services.

Desired skills and competencies

Strong experience with Azure DevOps, GitHub, Git, and software version control systems.
Proficiency in scripting and automation using PowerShell, Python, Bash, or similar languages.
Experience designing, implementing, and supporting CI/CD pipelines and release automation.
Hands-on experience with Azure and/or AWS cloud platforms, including infrastructure deployment and management.
Experience with Infrastructure-as-Code (ARM Templates, Bicep, Terraform, or CloudFormation).
Knowledge of containerization and orchestration technologies including Docker and Kubernetes.
Experience deploying and supporting Microsoft technologies such as .NET applications, SQL Server, Azure Monitor, Application Insights, and Azure Automation.
Familiarity with configuration management and desired state technologies such as PowerShell DSC or equivalent.
Experience with monitoring, logging, troubleshooting, and performance optimization of cloud-based applications and infrastructure.
Understanding of security, identity management, and access control using Azure AD, AWS IAM, Active Directory, and related technologies.
Experience with test automation frameworks and scripting validation tools is a plus.
Experience in Azure Service Fabric is an added advantage.

R&D at AVEVA

Our global team of 2000+ developers work on an incredibly diverse portfolio of over 75 industrial automation and engineering products, which cover everything from data management to 3D design. AI and cloud are at the centre of our strategy, and we have over 150 patents to our name.

Our track record of innovation is no fluke – it’s the result of a structured and deliberate focus on learning, collaboration and inclusivity. If you want to build applications that solve big problems, join us.

Find out more: aveva.com/en/about/careers/r-and-d-careers/

India Benefits include:

Gratuity, Medical and accidental insurance, very attractive leave entitlement, emergency leave days, childcare support, maternity, paternity and adoption leaves, education assistance program, home office set up support (for hybrid roles), well-being support

It’s possible we’re hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive.

Find out more: aveva.com/en/about/careers/benefits/

Hybrid working

We work in a hybrid way at AVEVA. Most roles are based at a local AVEVA office, with an expectation of being on-site 50% of your working hours to support collaboration and connection. Some positions are fully office-based depending on the nature of the work, and certain roles that support specific customers or markets may be remote. The working arrangement for this position will be confirmed during the hiring process.

Hiring process

Interested? Great! Get started by submitting your cover letter and CV through our application portal. AVEVA is committed to recruiting and retaining people with disabilities. Please let us know in advance if you need reasonable support during your application process.

Find out more: aveva.com/en/about/careers/hiring-process

About AVEVA

AVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life – such as energy, infrastructure, chemicals, and minerals – safely, efficiently, and more sustainably.

We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targets: sustainability-report.aveva.com/

Find out more: aveva.com/en/about/careers/

AVEVA requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third-party personal data may involve additional background check criteria.

AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case-by-case basis.

About the company

AVEVA provides industrial software that helps companies digitally transform their operations in manufacturing, energy, and infrastructure. Its offerings are delivered as a subscription-based service (SaaS) for engineering asset management, rather than traditional perpetual licenses. The core product, CONNECT, is an open industrial intelligence platform that runs in the cloud and can scale as a business grows; it works with or without Schneider Electric hardware, thanks to its hardware-agnostic design. Along with software, AVEVA offers online training to help clients adopt the new SaaS model. Compared with competitors, AVEVA differentiates itself by being hardware-agnostic, offering a cloud-first, subscription platform, and an open platform that supports scalable, cloud-based engineering asset management. The company aims to help customers digitally transform their operations, improve efficiency, and reach broader markets through flexible, cloud-based software solutions.

Company Size

5,001-10,000

Company Stage

IPO

Headquarters

Cambridge, United Kingdom

Founded

1967

Get referred to AVEVA

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Simplify's Take

What believers are saying

Cognite’s June 2026 deal expands AVEVA’s AI stack and industrial data contextualization.
Egypt mining and Assystem partnerships open new 2026 pipeline in infrastructure and resources.
Recruitment pushes in Cambridge support hiring for growth after Ballard’s October 2026 arrival.

What critics are saying

Schneider’s Cognite acquisition compresses AVEVA’s differentiation by bundling rival industrial AI capabilities.
Ballard’s October 2026 CRO transition risks a commercial reset during enterprise buying season.
CONNECT implementation remains heavy; leaner point tools win before AVEVA delivers value.

What makes AVEVA unique

CONNECT unifies engineering, operations, and analytics across design-to-operate workflows.
Schneider Electric’s ownership gives AVEVA distribution, capital, and embedded industrial customers.
Assystem partnership targets critical infrastructure, combining AVEVA software with OT integration expertise.

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Benefits

Health Insurance
Life Insurance
Disability Insurance
Paid Vacation
Parental Leave
Professional Development Budget
Hybrid Work Options
401(k) Company Match

Company News

Industry Valley

Oct 23rd, 2026

Digital twin simulation for megawatt AI data centers: an innovative AVEVA solution!

Digital twin simulation for megawatt AI data centers: an innovative AVEVA solution! October 23, 2026. AVEVA boosts efficiency in hyperscale data centers. AVEVA offers an integrated digital twin infrastructure that optimizes power, cooling, and workload efficiency in large-scale computing facilities using virtual environments. This innovative approach is realized through an end-to-end digital twin simulation project, developed in collaboration with Schneider Electric, Nscale, and Start Campus, to model and optimize the physical infrastructure operations of AI data centers. Powerful integration with NVIDIA Omniverse DSX Blueprint. Built on the NVIDIA Omniverse DSX Blueprint, the Immersive Twin platform accelerates deployment in high-density data center ecosystems by combining power, cooling, and electrical models with AI workload requirements. Application at Portugal's SINES Data Campus. This simulation technology is being applied to operations at Nscale's SIN01 data center within the 1.2-gigawatt SINES Data Campus in Portugal. Developed by Start Campus, the facility is designed to support high-capacity AI processing and will house over 66,000 NVIDIA Rubin Graphics Processing Units (GPUs). By creating a unified digital model of such a large deployment, operators can assess the thermal and electrical impacts of high-density computing clusters before physical hardware installations are performed. Operational data integration and simulation mechanics. The digital twin infrastructure leverages the OpenUSD framework to cross-platform connect asset data from AVEVA, ETAP, Schneider Electric, and third-party vendors. The system ingests engineering and operational data to create simulations covering process behavior, electrical distribution, and liquid cooling loops. This capability allows facilities to run precise scenarios for hardware configurations, for example, modeling how an increase in rack power density affects the broader power chain, thereby reducing supply risks and minimizing physical infrastructure changes. Workload efficiency and lifecycle management. For AI cloud platforms like Nscale, aligning physical infrastructure performance with computing requirements directly impacts token generation efficiency. AVEVA's software suite, including CONNECT, PI System, Unified Engineering, and Asset Information Management, provides continuous visibility into asset performance. By visualizing these metrics through NVIDIA Omniverse applications, operators manage the entire lifecycle of an AI factory, transitioning from initial facility design to ongoing operational optimization based on active thermal and electrical loads. AVEVA's edge in a competitive landscape. In the data center infrastructure management (DCIM) and physics-based industrial simulation sectors, AVEVA's software portfolio competes with solutions like Siemens Xcelerator and Bentley Systems' iTwin framework. However, a key competitive differentiator of the AVEVA software ecosystem, working in conjunction with Schneider Electric hardware, is its native integration with the NVIDIA Omniverse DSX Blueprint. This architecture provides GPU-accelerated 3D visualization and simulation based on the OpenUSD standard, enabling simultaneous modeling of both physical cooling loops and specific IT workload outputs, such as AI token processing efficiency. While traditional DCIM platforms often monitor this data as separate silos, AVEVA's integrated approach offers a comprehensive view.

CNC Seeker

Oct 22nd, 2026

Schneider Electric, AVEVA, Nscale and Start Campus pilot AI digital twin.

Schneider Electric, AVEVA, Nscale and Start Campus pilot AI digital twin. Key takeaways. * Schneider Electric, AVEVA, Nscale and Start Campus have launched one of the first end-to-end AI-driven digital twins built on NVIDIA Omniverse DSX Blueprint. * The pilot runs in the 1.2 GW SIN01 data-center at Portugal's SINES Data Campus, soon to host >66,000 NVIDIA Rubin GPUs. * By merging real-time power, cooling and workload data, the Immersive Twin delivers a single, predictive view that can cut energy use by up to 15 % and speed up token-production cycles by 30 %. * The project validates a reusable blueprint for gigawatt-scale AI factories, paving the way for faster design-build-operate-maintain loops across Europe. Schneider Electric, AVEVA, Nscale & Start Campus unveil ai-powered digital twin pilot. Background. A consortium of four industry leaders - Schneider Electric (global energy-tech provider), AVEVA (industrial-software specialist), Nscale (full-stack AI cloud platform) and Start Campus (data-center developer/operator) - has announced a live demonstration of an AI-centric digital twin. The solution is constructed on the NVIDIA Omniverse DSX Blueprint, part of NVIDIA's DSX Sim suite for high-fidelity simulation and AI-ready infrastructure. What the Immersive Twin does. | Feature | Traditional Approach | Immersive Twin (DSX Blueprint) | | Data Integration | Separate SCADA, BMS, and workload logs; manual correlation | Unified model ingesting power, cooling, network and AI-workload telemetry in real time | | Simulation Fidelity | 2-D schematics, limited physics | Full 3-D physics-based simulation with GPU-accelerated thermal and electrical analysis | | Decision Latency | Hours-to-days for scenario testing | Sub-second "what-if" queries powered by NVIDIA RTX-A6000 GPUs | | Scalability | Up to a few MW per model | Designed for gigawatt-scale AI factories (1.2 GW campus) | | AI Integration | Post-processing analytics | Embedded generative AI for predictive maintenance and load-balancing | The Immersive Twin fuses Schneider Electric's EcoStruxure(TM) digital-twin framework with AVEVA's engineering suite (including the Unified Engineering and System Platform). Nscale supplies the AI workload orchestration, while Start Campus provides the physical plant - the SIN01 data-center on the 1.2 GW SINES Data Campus. Pilot scope. * Location: SIN01, part of the 1.2 GW SINES Data Campus, Portugal. * Hardware Footprint: Planned deployment of >66,000 NVIDIA Rubin GPUs (each delivering up to 130 TFLOPS FP16 performance). * Energy Target: Reduce overall PUE (Power Usage Effectiveness) from the current 1.35 to <=1.20 within 12 months. * Token Production: Accelerate Nscale's AI-token generation pipeline by 30 %, cutting average token-creation time from 45 min to ~31 min. The twin continuously ingests sensor streams (temperature, humidity, voltage, current) and AI workload metrics (GPU utilisation, memory bandwidth). It then runs GPU-accelerated thermal-fluid simulations to predict hot-spot formation and recommends real-time cooling set-point adjustments. Why it matters. * Energy Efficiency at Scale - With AI workloads projected to consume 30 % of global electricity by 2030, a 15 % reduction in data-center energy use translates to ≈150 MW saved across a typical gigawatt-scale campus. * Speed to Market - The ability to test hardware-software configurations virtually eliminates weeks of physical prototyping, enabling faster rollout of new AI services. * Reusability - The DSX Blueprint is packaged as a validated, exportable model, allowing other operators to replicate the workflow with minimal custom development. Future outlook. The consortium plans to extend the pilot to two additional sites in 2027, each targeting a minimum of 50 % higher GPU density. A roadmap includes integration with NVIDIA's DGX Cloud for seamless workload migration and the addition of generative AI assistants that can auto-generate optimisation scripts based on twin insights. Bottom line. The Schneider Electric-AVEVA-Nscale-Start Campus partnership demonstrates that a high-fidelity, AI-ready digital twin built on NVIDIA's Omniverse DSX Blueprint can deliver measurable energy savings, faster AI-token production, and a repeatable blueprint for gigawatt-scale AI factories. As AI workloads continue to dominate power consumption, such immersive twins will become essential tools for operators seeking to balance performance, sustainability and cost.

HyperAI

Oct 21st, 2026

Command palette.

Command palette. 14 hours ago European industrial leaders are expanding the use of NVIDIA CUDA-X, Omniverse, Cosmos and Nemotron across engineering, simulation, manufacturing and factory operations, signaling a broad shift toward AI-driven industrial workflows. The moves, highlighted around GTC Berlin, position NVIDIA's open models, acceleration libraries and digital-twin tools as core infrastructure for companies seeking higher productivity, faster innovation and more efficient production. A major element of the announcement is the early-access availability on GitHub of the NVIDIA Factory Operations Blueprint, known as FOX. The blueprint gives developers a path to build always-on factory manager agents that can coordinate work across machines and support specialist tasks such as visual inspection, root cause analysis, report generation and fleet management. These agents can connect to frontier models such as Cosmos and Nemotron, as well as to foundational industrial systems including computer-aided design, product lifecycle management, simulation software, and IT and operational technology platforms. By correlating visual findings with machine logs, they can monitor operations in real time, investigate issues and coordinate responses. Cosmos in-context learning allows agents to adapt using examples and documentation without fine-tuning. Siemens is a central partner in this ecosystem, integrating FOX-based agents into its Intelligence Center X agentic enterprise system to identify root causes and coordinate factory operations, with estimated cost savings of 20 percent. Siemens' Process Preparation X agents also use NVIDIA Cosmos Data Factory tools to generate defect images for circuit-board inspection. At the company's Erlangen electronics factory, this approach has reduced inspection-process calibration time by 40 percent. The broader announcement covers accelerated engineering from early design through production planning. NVIDIA CUDA-X libraries are speeding simulation workloads, giving engineers faster feedback on structural stress, fluid flow, electromagnetic behavior and semiconductor performance. Mercedes-Benz is using Siemens' Simcenter STAR-CCM+ on NVIDIA GPUs to compare vehicle designs through faster aerodynamic simulations, while also applying NVIDIA Cosmos 3 and the Metropolis VSS blueprint to build agents for vehicle inspection and windshield assembly verification. Cadence is benchmarking automotive fluid-dynamics workloads, and Autodesk is bringing NVIDIA PhysicsNeMo and Warp frameworks into its simulation tools to help designers predict performance and iterate more quickly. In semiconductors, imec and Infineon are using Synopsys software with NVIDIA accelerated computing to speed simulation workloads, reporting benchmark results of up to 40x for S-Litho and 12x for 3D breakdown simulation. In aerospace, Leonardo is working with Neural Concept to combine aircraft geometry and aerodynamic simulation results using Omniverse. Car manufacturers are also using Dassault Systèmes' LEO and AURA virtual companions, powered by Nemotron and integrated with CATIA and SIMULIA AI agents, to design and virtually test vehicle components before building physical prototypes. A major theme is virtual validation of factories, robots and AI infrastructure. NVIDIA Omniverse and Isaac libraries are enabling digital twins that let manufacturers test production systems and robot behavior before changing the factory floor. Audi is using an Omniverse-based battery-production digital twin to test concepts before equipment is available, and is working with Dassault Systèmes and Agile Robots to simulate mobile humanoid robots and logistics processes. Schaeffler is integrating digital twins of humanoid actuators with Isaac simulation frameworks, while Wandelbots is using NOVA with Isaac Sim to validate assembly workflows digitally. The pattern extends to industrial facilities and AI data centers. Falkor, a Kongsberg company, is combining agents, Omniverse and Microsoft Azure virtual machines with NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs to support spatial intelligence for inspection and maintenance in process and energy industries. Schneider Electric, together with AVEVA, is developing an AI factory digital twin with Nscale to compare power, cooling and equipment configurations before deployment.

Al Etihad

Oct 11th, 2026

Global technology leaders to discuss AI's impact on energy sector at ADIPEC 2026.

Global technology leaders to discuss AI's impact on energy sector at ADIPEC 2026. (Supplied) 11 Oct 2026 15:15 ABU DHABI (ALETIHAD) Chief executives and technology leaders from major global companies, including Siemens AG, Honeywell, AVEVA, Cognite, Siemens Energy, Schneider Electric and AIQ, will participate in ADIPEC 2026 in Abu Dhabi next month, with artificial intelligence (AI) and its growing role in energy operations taking centre stage, according to a statement issued by ADIPEC. The event, scheduled for November 2-5, will bring together technology companies, energy operators, investors and policymakers to examine the deployment of AI across energy infrastructure and industrial operations, the statement said. The discussions will focus on improving operational efficiency, strengthening energy infrastructure and addressing the growing electricity demand from AI applications and data centres. Citing estimates from the International Energy Agency (IEA), the ADIPEC statement said widespread adoption of existing AI applications could generate annual savings of up to $110 billion in power generation by 2035 and unlock as much as 175 gigawatts of additional transmission capacity from existing power lines. At the same time, the rapid expansion of AI and data centres is increasing demand for electricity, creating a closer relationship between the energy and technology sectors, the statement noted. AI will be a central theme across ADIPEC's Strategic and Technical Conferences, exhibition and Leadership Roundtables. Discussions will cover upstream productivity, industrial automation, grid resilience, cybersecurity, predictive analytics and the investment required to deploy AI technologies on a larger scale. According to the statement, confirmed speakers include Roland Busch, President and CEO of Siemens AG; Caspar Herzberg, CEO of AVEVA; Dr Christian Bruch, President and CEO of Siemens Energy; Girish Rishi, CEO of Cognite; Vimal Kapur, Chairman and CEO of Honeywell; Dennis Jol, CEO of AIQ; Olivier Blum, CEO of Schneider Electric; and Jack Hidary, CEO of SandboxAQ. Other speakers include Uljan Sharka, Founder and CEO of Domyn; Dr Olivier Oullier, CEO of Inclusive Brains; and Tim Bawtree, Chairman and Founder of Quantum Switch. Roland Busch, President and CEO of Siemens AG, said the effective deployment of industrial AI requires its integration into essential infrastructure, including electricity grids, industrial systems and buildings. "Industrial AI delivers the most value for energy systems when intelligence is engineered into infrastructure at its core, including the grids, industrial systems and buildings that keep economies running day to day," Busch said in comments carried by the statement. He noted that these systems must operate reliably under pressure, regardless of whether they were built decades ago or are currently under construction. "Scaling that requires sustained investment, deep engineering expertise and closer collaboration between the energy and technology sectors. ADIPEC brings those partnerships together, turning technological progress into resilient, real-world performance," he added. Christopher Hudson, President of dmg events, the organiser of ADIPEC, said the energy industry must identify commercially viable AI applications and develop the capabilities required to implement them securely. "AI is opening up significant opportunities for the energy industry. The priority now is identifying which applications are worth backing and how to deploy them securely at scale," Hudson said. "That takes more than technology; it requires engineering expertise, investment and commercial discipline. ADIPEC connects the people setting strategy and committing capital with those responsible for delivery, helping turn AI's potential into measurable improvements across energy systems," he added. The growing importance of AI is also reflected in submissions to ADIPEC's Technical Conferences. The statement said the conferences received a record 7,261 abstract submissions this year, with AI and Digital Transformation accounting for 1,296, the highest among all technical categories. More than 200 technical sessions featuring 1,100 expert speakers will examine engineering innovations, operational improvements and technology adoption across the energy sector. The exhibition will feature an expanded AI Zone, co-hosted by AIQ, where companies will demonstrate applications of AI, robotics and digital technologies in reservoir modelling, autonomous control, infrastructure inspection, grid management and subsea robotics. ADIPEC 2026 is expected to welcome 239,000 attendees, more than 2,250 exhibiting companies and over 1,800 speakers across 13 conference programmes.

Grantek

Oct 2nd, 2026

Grantek to Exhibit and Present at CIMSOFT's Innovate x AVEVA Day 2026 in Mississauga, ON.

Grantek to Exhibit and Present at CIMSOFT's Innovate x AVEVA Day 2026 in Mississauga, ON. October 2, 2026 Grantek will be exhibiting and presenting at CIMSOFT's Innovate x AVEVA Day 2026 in Mississauga, ON on October 20, 2026. For the third consecutive year, CIMSOFT and AVEVA are bringing together industrial leaders, innovators, and technology experts for Innovate x AVEVA Day, its premier customer event focused on accelerating industrial intelligence and driving measurable business outcomes. This year's event explores how manufacturers and industrial organizations are leveraging industrial AI, advanced analytics, real-time operational data, and digital technologies to improve performance across the enterprise. Through expert-led sessions, industry insights, technical presentations, and interactive demonstrations, attendees will discover practical strategies for increasing yield, improving throughput, optimizing energy consumption, and reducing operational variability... Bryon Hayes, Functional Consultant at Grantek will also be presenting "Paper Is Still Winning: Closing the EBR Gap on AVEVA" during CIMSOFT's Innovate x AVEVA Day 2026 Event in Mississauga, ON on October 20th at 2pmET. For over 40 years, top manufacturers in Data Centers, Food & Beverage, CPG and Life Sciences/Pharmaceuticals have called upon Grantek to solve their most complex business and manufacturing challenges. Grantek automates Pharmaceutical and Food & Beverage manufacturing operations, including integration with business systems for seamless solutions.

AVEVA

R&D Senior Member of Technical Staff

About the job