Company Description
A global automotive company developing commercial vehicles, construction equipment, and power solutions. It focuses on advancing sustainable transportation through electrification, automation, and connected technologies. With a strong engineering heritage, the company delivers innovative mobility solutions for customers across industries worldwide.
- Location Gurgaon
- Industry Automotive
- Experience Range 10-15 years
- Must-have Skills Automotive E/E Architecture, AUTOSAR (Classic & Adaptive), Azure / AWS IoT, CAN / LIN / CAN-FD / Automotive Ethernet, DevOps & CI/CD, Embedded Systems, ISO 26262 & ISO/SAE 21434, Linux & RTOS, OTA Updates, Software Defined Vehicles (SDV), UDS / DoIP, Vehicle Telematics
Job Summary
The Lead Software Defined Vehicle (SDV) Development Engineer is responsible for leading the end-to-end design, development, and deployment of Software Defined Vehicle (SDV) architecture for commercial vehicles. The role focuses on vehicle E/E architecture, embedded software platforms, cloud-connected services, OTA capabilities, cybersecurity, AUTOSAR, cloud integration, and driving next-generation connected vehicle platforms.
Key Responsibilities
- Lead the design and deployment of Software Defined Vehicle (SDV) architecture across commercial vehicle platforms.
- Design scalable vehicle E/E architectures including domain/zonal architectures, centralized compute platforms, and high-speed vehicle communication networks.
- Define hardware-software partitioning strategies and ECU/domain controller consolidation roadmaps.
- Architect reusable software platforms supporting Over-the-Air (OTA) updates, Feature-on
- Demand (FoD), and software reuse across vehicle platforms.
- Own the complete SDV product lifecycle including requirements engineering, architecture, development, validation, testing, and production release.
- Ensure compliance with automotive standards including AIS-189, AIS-190, ISO 26262, and ISO/SAE 21434.
- Collaborate with vehicle engineering, powertrain, manufacturing, and after-market teams for integrated product development.
- Define product roadmaps for connected vehicle capabilities and digital services.
- Develop platform commonization strategies across multiple commercial vehicle platforms.
- Design vehicle-to-cloud integration architecture including telemetry pipelines, remote diagnostics, prognostics, and OTA campaign management.
- Define APIs and integrations with Fleet Management Systems, cloud platforms (Azure/AWS), mobile applications, and web platforms.
- Ensure end-to-end data security through encryption, authentication, and cybersecurity best practices.
- Guide development of RTOS/Linux-based automotive software platforms and AUTOSAR Classic & Adaptive architectures.
- Lead development of middleware abstraction layers, communication stacks, diagnostics (UDS, DoIP), and scalable software frameworks.
- Collaborate with Tier-1 suppliers, cloud providers, and technology partners to drive SDV innovation.
- Lead and mentor multidisciplinary engineering teams while promoting Agile, DevOps, CI/CD, and Model-Based Development practices.
Required Skills & Experience
- 10–15 years of experience in Automotive Embedded Systems or Software Development.
- Minimum 5 years of experience leading engineering teams.
- Strong expertise in Software Defined Vehicle (SDV) architecture.
- Deep understanding of Automotive E/E architectures including Domain and Zonal Architectures.
- Strong experience with Embedded Systems and Vehicle Networks including CAN, LIN, CAN-FD, and Automotive Ethernet.
- Hands-on experience with AUTOSAR Classic and AUTOSAR Adaptive.
- Strong experience with Linux-based automotive platforms and RTOS.
- Experience with Cloud Platforms such as Microsoft Azure or AWS and IoT architectures.
- Expertise in OTA (Over-the-Air) updates, telematics systems, and connected vehicle platforms.
- Strong understanding of Automotive Cybersecurity and ISO/SAE 21434 implementation.
- Knowledge of Functional Safety lifecycle and ISO 26262.
- Experience with Diagnostics protocols including UDS and DoIP.
- Exposure to Data Analytics pipelines and cloud-native automotive software development.
- Strong leadership, stakeholder management, and product ownership capabilities.
Preferred Qualifications
- BE/B.Tech or M.Tech in Electronics, Embedded Systems, Computer Science, or related field.
- Experience in Commercial Vehicles or Heavy-Duty Truck platforms.
- Exposure to Fleet Management Systems and connected mobility platforms.
- Experience with Mining or Off-Highway vehicle applications operating in low-connectivity environments.
- Hands-on experience leading SDV transformation programs and digital platform launches in the automotive industry.
Other Requirements
- Strong strategic thinking with system-level architecture expertise.
- Excellent leadership and stakeholder management skills.
- Execution-focused mindset with strong product ownership capabilities.
- Ability to collaborate across cross-functional engineering and business teams.
