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Design, validate, and implement automated testing and machine vision inspection systems for manufacturing lines. Develop test methods for mechanical, electrical, and functional validation; optimize cycle time, accuracy, and reliability; create preventive maintenance plans; specify and integrate equipment and software; collaborate with suppliers; train production and quality teams; support root-cause analysis and maintain inspection/test data traceability and compliance.

Design and architect automotive embedded software components. Lead/technical-owner for AUTOSAR-based development in C on 16/32-bit MCUs. Develop device drivers, bootloader, diagnostics/UDS, power modes, and communication stacks (CAN/LIN/FlexRay/Ethernet). Use verification tools, measurement instruments, and ensure multi-core, security, and automotive process and functional safety compliance (ASPICE, ISO 26262).

The role involves quality control in final assembly, product releases, audits, non-conformance control, inspections, and certifications within the plant.

Responsible for inspection and measurement activities, managing incoming and outgoing inspections, and ensuring compliance with quality standards. Must maintain inspection equipment and record results.

Conduct testing and failure analysis of automotive components while managing testing requirements to ensure compliance with standards and specifications.

Design, build, test, and operate cloud-based data ingestion and ETL systems. Develop backend services in Golang (with Python where appropriate), run workloads on Kubernetes/AWS, troubleshoot distributed systems, and collaborate to improve scalability, reliability, and performance.

Lead design and delivery of ML solutions for perception, prediction, and planning for assisted and automated parking. Define CV and multimodal sensor-fusion approaches, drive architecture from data pipelines through deployment, establish evaluation metrics, mentor engineers, and collaborate with global teams to improve algorithms and production performance.

Design and optimize ML models for perception, prediction, and planning in automotive parking systems. Build computer-vision and multi-sensor processing solutions, trajectory forecasting, training/evaluation pipelines, analyze large datasets, validate models in real-world scenarios, and collaborate with software, systems, and product teams to improve algorithms and tools.

Owns software engineering customer communication, defines and prioritizes features, approves acceptance, triages problems, coordinates with architects and release management, and works in an Agile environment for automotive embedded safety projects.

Lead and operate the global HRIS landscape (Workday-first), run a visible service delivery model, translate process requirements into system configuration, manage backlog and interfaces, ensure system stability and releases, oversee vendors, and build a specialist team in Pune.