Responsibilities

Own the technical direction and architecture of custom software solutions and lead teams through design and delivery.
Design and implement cross-domain software-defined vehicle application service modules for vehicle state management, feature delivery, remote services, and in-vehicle AI hosting.
Define application architectures covering microservice decomposition, service meshes, API governance, and lifecycle management.
Lead AUTOSAR Adaptive development involving ara::com, ara::exec, ara::diag, UDS, service providers and consumers, process lifecycle management, and deployment configuration.
Integrate SDV application software with Vehicle OS platforms, SOAFEE, Eclipse SDV, containers, resource quotas, and health supervision.
Architect OTA feature delivery platforms with manifest management, staged rollout, compatibility gating, rollback, and activation safety checks.
Develop in-vehicle AI inference frameworks covering model serving middleware, NPU/GPU runtime abstraction, and inference pipelines.
Lead vehicle-to-cloud integration involving event streaming, vehicle digital twins, and real-time telemetry pipelines.
Conduct architecture, design, and code reviews; mentor SDV application developers; and promote AUTOSAR Adaptive and service-oriented design practices.
Apply ASPICE Level 2 and Level 3 processes and ISO/SAE 21434 secure-by-design principles across SDV application development.
Work with automotive SoC platforms from Qualcomm, Renesas, and NXP.

Requirements

At least 5 years of experience is stated, with the additional information specifying a minimum of 6 years in automotive embedded software and SDV platform development.
Bachelor’s or master’s degree in Electronics, Electrical Engineering, Computer Science, Information Technology, or Embedded Systems Engineering, with 15 years of full-time education required.
Advanced C++ proficiency and automotive service-oriented application development experience on AUTOSAR Adaptive or Linux platforms.
In-depth AUTOSAR Adaptive expertise, including ara::com, SOME/IP, DDS, ara::exec, ara::log, manifest authoring, and deployment configuration.
Experience architecting microservice-based vehicle applications, including service decomposition, API versioning, and lifecycle management.
Knowledge of Vehicle OS concepts, SOAFEE, Eclipse SDV, AGL, container orchestration, Podman, and OCI image management.
Experience designing OTA-aware applications with staged rollout, rollback, safety controls, and version compatibility.
Strong test-driven development skills using Google Test, Google Mock, pytest, and CI-integrated automated testing.
Preferred automotive cybersecurity experience with CERT C++, TLS, mTLS, JWT, and certificate-based authentication.
Preferred experience with TensorRT, ONNX Runtime, OpenVINO, or TensorFlow Lite on automotive SoCs.
Preferred knowledge of Eclipse Zenoh or DDS implementations including Fast DDS and Cyclone DDS.
Preferred familiarity with Eclipse Kuksa, https://jobeax.com/link/Bks55WSgF0RKpdCg, Eclipse Leda, or COVESA data brokers.
Preferred exposure to functional-safety-aware SDV application design, QM versus ASIL designation, and safety tagging in service manifests.
Understanding of UNECE R156 implications for application-layer OTA feature delivery.

Benefits

The position is open in Pune delivery locations.

Custom Software Engineering Lead

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