A talented software professional with a desire to make an impact, and passionate about opportunities in the automotive and mobility domain?
An experienced Cloud/Data Science/AIML professional wanting to work on cutting-edge technology for the mobility domain?
A seasoned software professional, who can steer Digital Connected Solutions programs towards success and wants to work in a Culture of Excellence?
A knowledge house based on 20+ years of automotive software experience!
Having 7+ years of experience in the Digital Connected Solutions domain!
30+ vehicle programs with KPIT’s digital and Cloud connected solutions, with 8+ deployments across global OEMs
Have partnerships with leading Cloud infrastructure providers- Amazon Web Services, Microsoft Azure
KPIT's Cloud-based AI/ML solutions power multiple OEM programs
Having ready transformative solutions- Remote Software Management, Predictive Maintenance, and Asset Intelligence Platforms
Work on cutting edge technology programs of leading OEMS and Tier 1s in automotive and mobility
Work across Autonomous, Connected, Electrification, AUTOSAR, Cybersecurity, OTA technology driving mobility transformation
Robust competency development framework, Individual development plans and Mentors to bring focus on YOU
Highest numbers of promotions backed by solid performance
Collaboration with global university for technology & management master's program
Comprehensive Learning initiatives for Freshers & laterals
Develop new skills and grow in the Digital Connected Solutions domain for the automotive sector!
Contribute to the new-age Cloud-based solutions: Remote Software Management, Predictive Maintenance, Asset Intelligence, and more...
Be a part of software teams working on next generation technology; get appreciated on a global canvas!
Work with and lead agile teams present across global locations for major automotive OEM and Tier 1 projects
Work on cutting-edge, futuristic software technology programs
Microservices, Java, Cloud, APIs
Microservices, Java, Cloud, APIs
Microservices, Cloud, Software Architecture
Android, Mobile Application, IOS
C++, Linux, OOPS
Connectivity, Autonomous Driving, Shared Mobility and Electrification (CASE) megatrends are driving the Mobility Ecosystem towards software-driven vehicles. With rising software complexity, Cloud-based connectivity and data have become catalysts.
This has enabled Automotive OEMs to shift towards providing customer experience with more digital touch points, new revenue sources, and subscription-based feature rollouts. Towards that end, OEMs are transitioning towards deep Cloud integration.
KPIT’s understanding of contemporary in-vehicle architecture and experience of Cloud technology make it the right partner for OEMs to deliver secure end-to-end connected experience for end customers.
Passionate about the Cloud, AI/ML, or Data Science domains? Lead the digital transformation of the Mobility sector with KPIT DCS Team! Work on cutting edge technology programs, while benefitting from a robust competency development framework, Individual development plans, and mentorship!
The Digital Connected Solutions (DCS) domain has always allowed me to deliver the best of my skills in 'QA Automation and DevOps'. Creating, initiating, and implementing projects by working on API Testing & Automation and Azure DevOps has encouraged and pushed me to expand my expertise and skillsets, in order to provide something new and better every time. The Challenging and Learning aspect has always been an integral part of the DCS domain. Fortunately, at KPIT I have experienced a culture where the seniors and colleagues are always willing to assist and guide, provided one puts in maximum effort in problem-solving and developing one’s skillset.
It has been an awesome learning and working experience at KPIT, where we try to solve very practical business and research problems and come up with unique solutions. We have been working in the area of AI/ML, Predictive Maintenance, Anomaly Detection, and Natural Language Processing for automotive use cases on IoT, Telematics and Service Data. Working with the KPIT DCS team will give you an opportunity to understand the intricacies of Automotive Domain, perform extensive analysis, create data pipelines, and build consumable Data Products for the ever-evolving world of mobility.
I’ve been working in KPIT for the last 7 years as one of the first members of the Digital Connected Solutions team. We work on predictive maintenance in the automotive world, solving practical problems using statistical techniques and Machine Learning/Deep Learning algorithms. Working with multiple global OEMs on cutting-edge technology gives us many opportunities to develop our skillset, increase our knowledge in the field of applied data analytics. I believe this is a great domain for anyone who enjoys solving challenges, taking ownership of activities, finding actionable insights based on the data available, and building reliable data driven solutions. The KPIT culture is also very helpful in terms of identifying gaps, providing learning opportunities, and appropriate trainings for every individual’s trajectory. Despite the challenging work, it also allows for a work-life balance, with enough time to spend with family and follow our own hobbies and interests.
Health and Wellness is top priority. Vaccination drives were run across the globe for KPITians and they family membersly Link
KPIT hosted Mobility 5K Run in Columbus, Indiana and Novi, Michigan, US Link
Helping KPITians stay fit by virtual programs and facilities in offices Link
KPITians were pleasantly surprised by cakes and congratulatory notes on their promotion Link
Social impact is a key cornerstone - A donation drive for the distribution of Home Study Kits to the underprivileged students Link
KPITians in Michigan, US enjoying some outdoor activities in the form of winter sports Link
Women in Mobility | KPITians celebrating International Women’s Day with prominent women in mobility . Link
KPITians in Germany met for 'Virtual Happy Hours’, interacting informally sharing hobbies and passion. Link