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Support demand planning and sales forecasting, monitor inventory and product availability, track sales/stock/production/import KPIs, prepare analyses and reports, and coordinate with Sales and Operations to align demand and inventory.

Lead and standardize systems engineering practices across automotive SBUs, drive enterprise-wide transformation and cross-functional collaboration, embed MBSE and simulation into architecture, coach teams, and deliver measurable improvements in engineering quality, efficiency, and predictability.

Develop, maintain, and execute automation frameworks and test tools for Android/AAOS infotainment systems. Write automation scripts in Kotlin/Java and Python, integrate tests into CI/CD pipelines (Jenkins, GitHub), debug with Android tools, analyze results, and collaborate with development and QA to improve automation coverage and test infrastructure.

Interns design, implement, and test embedded software for automotive amplifier applications. Responsibilities include coding in C/C++, troubleshooting with debuggers and hardware instruments, developing unit and integration tests, verifying system functionality, following MISRA guidelines, and participating in code reviews. The role offers hands-on experience with embedded development tools, real-time operating systems, and software quality processes in a hybrid Bangalore-based environment.

Develop and deploy automotive AI/ML systems across edge and cloud environments, including small language models, VLM/VLA models, multimodal perception, agentic orchestration, and sensor-fusion pipelines. Build MLOps workflows for training, evaluation, deployment, and monitoring while integrating voice, vision, cockpit, ADAS, and connected-vehicle capabilities. Collaborate with embedded, cloud, data, HMI, and systems teams to deliver safe, secure, optimized automotive AI platforms.

Design, develop, and deploy agentic AI systems using LLMs, multi-agent architectures, planning, tool calling, memory, workflow orchestration, and RAG. Integrate agents with enterprise applications, APIs, databases, and cloud platforms. Build monitoring, governance, evaluation, and observability capabilities while optimizing scalability, quality, and cost. Collaborate with stakeholders and engineering teams to deliver AI-driven solutions and stay current with emerging agentic, multimodal, and generative AI technologies.

The role involves designing test scripts, identifying software defects, and collaborating with teams to improve infotainment systems. Requires 3+ years in infotainment testing and proficiency in Python.

Lead enterprise AI architecture, MLOps, and model governance on Databricks. Define standards for model development, deployment, monitoring, and explainability. Drive production-grade AI solutions (forecasting, NLP, RAG, anomaly detection), mentor teams, and align AI with data platform and business needs.

Design, implement, test, and deliver embedded software for digital audio products. Follow Agile/Scrum practices, produce technical designs, participate in code reviews, debug/integrate software, promote code reuse, and recommend process and tool improvements across the software lifecycle.

Lead regional brand experience planning and roadmaps for automotive audio and infotainment. Drive ideation, consumer studies, feature prioritization, business cases, and handoff of reusable assets to project teams. Support customer proposals, demos, and negotiations while collaborating across product, engineering, marketing, and delivery to ensure production integration and go-to-market readiness for multiple brand+customer bundles.