Top Tech Jobs & Startup Jobs in Pune

Design and develop complete automotive seating systems including sheet metal, foam, plastics, mechanisms and trim. Ensure regulatory compliance (FMVSS, ECE), create DFMEA, DVP, BOMs and manufacturing drawings, support RFQ/costing, coordinate feasibility with plant and suppliers, and mentor junior engineers.

Lead market penetration and new-customer development for automotive seating products in India. Build and maintain customer relationships, identify untapped opportunities, analyze market trends, create business cases, manage receivables, represent the company at industry events, and support trade shows and technology days. Targets-driven role requiring business development and automotive domain understanding.

Lead and manage seat-structure product development teams to meet government and OEM standards, oversee design releases and engineering changes, ensure schedule and budget adherence, liaise with customers and suppliers, document lessons learned, recruit and coach engineers, and maintain safety and quality processes.

Support team activities by using Microsoft Office tools (especially Excel and PowerPoint); familiarity with Power BI is a plus. Contribute to a collaborative, healthy working environment within the team and organization.

Model visible light reflection and refraction for optical systems, produce robust CAD and CAE files, operate a gonio-photometer to verify designs, use measurement output to improve optics, and work with Trans4M, QSI, and Pro8 data acquisition systems.

Design and develop test automation tools and frameworks for automotive electronics. Implement SiL/HIL automation and virtual validation, write C++ code, leverage CANoe/CANalyzer, work with vehicle and embedded protocols and interfaces, and ensure compliance with AUTOSAR, ASPICE, ISO 26262 and cybersecurity standards. Support CI/CD and cloud-based vehicle testing as needed.

Develop and integrate virtual ECU components for L3 ADAS; model, simulate, and validate ECU behavior in SIL/MIL environments; integrate ADAS code with AUTOSAR, ROS2, DDS and real-time frameworks; create build pipelines (CMake/Bazel/Yocto); enable scenario-based virtual testing (CarMaker/PreScan/CARLA); debug integration issues and collaborate with cross-functional teams.

Lead design and implementation of ML tools for scenario classification, anomaly detection, sensor data quality, behavior analytics, and automated reporting. Build scalable pipelines and automated data curation for camera, radar, and LiDAR; create SIL/HIL replay interfaces, ground-truthing and annotation tools, and offline benchmarking. Integrate ML modules into simulation, HIL/SIL, and CI/CD ecosystems, implement reproducible workflows (Docker, CI/CD, artifact versioning, automated tests), monitor model/data quality and mentor junior engineers while collaborating with verification and perception teams.

Lead and manage IT infrastructure operations including server and virtualization administration, network and systems support, ITSM processes, compliance with IT general controls, and support for internal and external IT audits.

Design, implement, and optimize high-performance embedded inference systems for automotive ADAS. Develop and integrate ML runtimes on edge SoCs, ensure low-latency concurrency and I/O, integrate with ROS2/sensor frameworks, deploy to SIL/HIL and CI pipelines, and perform profiling and debugging of perception stacks (camera/radar/LiDAR) under real-time constraints.