Bangalore SME EdgeAI For Connected Products

Job description

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same. Job Description Your Role As an Edge AI Solution Architect, you will lead the design, development, and deployment of AI/ML solutions on embedded and edge computing platforms. You will work closely with customers, product teams, and engineering organizations to architect scalable Edge AI solutions that leverage hardware accelerators while maximizing performance, power efficiency, and deployment scalability. In this role, you will: Lead the architecture and implementation of Edge AI and Embedded AI solutions across a wide range of intelligent products and devices. Define end-to-end AI deployment strategies for embedded and edge computing environments. Architect AI/ML solutions on leading embedded platforms including NVIDIA Jetson, NXP i.MX, Qualcomm, and similar edge computing ecosystems. Collaborate with data scientists, software architects, and embedded engineering teams to transition AI models from development to production. Optimize machine learning and deep learning models for deployment on resource-constrained edge devices. Leverage hardware acceleration technologies including GPU, NPU, DSP, and AI accelerators to maximize inference performance and efficiency. Your Profile 14+ years of experience in Embedded Systems, AI/ML Engineering, or Product Engineering. Proven expertise in AI and Edge AI model development, optimization, and deployment. Strong experience with embedded AI platforms such as NVIDIA Jetson, NXP i.MX, Qualcomm AI platforms, or equivalent ecosystems. Deep understanding of machine learning, deep learning, computer vision, and edge inference technologies. Hands-on experience optimizing AI models for constrained embedded devices and microcontroller-based systems. Strong knowledge of model compression, quantization, pruning, and acceleration techniques. Experience leveraging hardware accelerators such as GPU, NPU, DSP, TPU, and dedicated AI processing engines. What You'll Love About Working Here We value flexibility and support our employees with remote work options and adaptable schedules to maintain a healthy work-life balance. Our inclusive culture brings together diverse professionals committed to growth, innovation, and excellence. You'll have access to continuous learning opportunities and certifications in AI, Edge Computing, Embedded Systems, Cloud, and Digital Engineering. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. Ref. code: 517374 Posted on: 14 Aug 2026 Experience Level: Experienced Professionals Contract Type: Permanent Location: Bangalore, IN Brand: Capgemini Engineering Professional Community: Products & Systems Engineering Apply now » Apply Now Start applying with LinkedIn Please wait... Find similar jobs: All rights reserved by Capgemini. Copyright © 2025 Cookie Consent Manager When you visit any website, it may store or retrieve information on your browser, mostly in the form of cookies. Because we respect your right to privacy, you can choose not to allow some types of cookies. However, blocking some types of cookies may impact your experience of the site and the services we are able to offer. Required Cookies These cookies are required to use this website and can't be turned off. Required Cookies Required Cookies Provider Description Enabled SAP as service provider We use the following session cookies, which are all required to enable the website to function: "route" is used for session stickiness "careerSiteCompanyId" is used to send the request to the correct data centre "JSESSIONID" is placed on the visitor's device during the session so the server can identify the visitor "Load balancer cookie" (actual cookie name may vary) prevents a visitor from bouncing from one instance to another Cookies from provider SAPasserviceprovider are required and cannot be turned off Advertising Cookies These cookies serve ads that are relevant to your interests. You may freely choose to accept or decline these cookies at any time. Note that certain functionality that these third parties make available may be impacted if you do not accept these cookies. Consent to all Advertising Cookies Advertising Cookies Provider Description Enabled LinkedIn LinkedIn is an employment-oriented social networking service. We use the Apply with LinkedIn feature to allow you to apply for jobs using your LinkedIn profile. Opting out of LinkedIn cookies will disable your ability to use Apply with LinkedIn. Cookie Policy Cookie Table Privacy Policy Terms and Conditions Consent to cookies from provider LinkedIn