Job Summary
Pod 1 — Multimedia — Senior Engineer
Pod / Track Pod 1 — Multimedia
Role Title Senior Engineer — Multimedia Platform (Audio, Video, Display, Graphics, Camera & Sensors/DSP)
Experience 5 – 8 years
Primary Location Hyderabad, India (Transition phase); HCLTech Offshore Delivery Center thereafter
Work Model Physical co-location at Hyderabad mandatory during Transition (Month 1–3) for knowledge transfer and hardware/lab access; delivery shifts to HCLTech's Offshore Delivery Center (ODC) from Shadow (Month 4–6) onward.
Role Summary
Execute day-to-day sustenance work across the multimedia stack — audio, video, display, graphics, camera and sensors/DSP — in the sub-discipline(s) assigned, reporting to the Pod Lead.
Key Responsibilities
• Implement and validate fixes for customer-reported and internal defects in the assigned sub-discipline (audio, video, display, graphics, camera ISP or sensors/DSP).
• Support the camera-to-compute image pipeline (sensor → ISP → compute) and the video post-processing chain in the assigned sub-discipline.
• Perform root-cause analysis using kernel logs, ADSP/DSP core dumps, and multimedia framework traces.
• Execute release validation against reference test suites and customer use-cases.
• Maintain multimedia HAL/driver code for the assigned sub-discipline across firmware/driver updates.
• Contribute findings to the pod knowledge base and RCA repository.
Must-Have Skills
• 5–8 years embedded multimedia / Linux BSP engineering, in one or more of audio, video, display, graphics, camera or sensor/DSP.
• Strong C/C++ and Linux kernel driver debugging.
• V4L2 / DRM / ALSA subsystems.
• Camera ISP tuning tools and CamX/Chi-CDK architecture.
• Video codec standards (H.264/H.265/AV1) and hardware codec pipelines.
• Adreno GPU driver stack, OpenGL ES/Vulkan.
• Hexagon DSP fundamentals; JTAG and kernel crash-dump analysis.
• Video post-processing pipeline development (scaling, colour conversion, filtering).
Good-to-Have Skills
• Multi-camera synchronization and multi-stream concurrency experience.
• AI/ML inference pipeline integration with zero-copy buffer sharing to an NPU.
• GStreamer pipeline development.
• HDR, tone-mapping and colour-science exposure.
• Direct experience with Chromatix or equivalent tuning tools.
• Camera-to-compute pipeline integration experience with downstream AI/vision consumers.
Key Responsibilities
Pod 1 — Multimedia — Senior Engineer
Pod / Track Pod 1 — Multimedia
Role Title Senior Engineer — Multimedia Platform (Audio, Video, Display, Graphics, Camera & Sensors/DSP)
Experience 5 – 8 years
Primary Location Hyderabad, India (Transition phase); HCLTech Offshore Delivery Center thereafter
Work Model Physical co-location at Hyderabad mandatory during Transition (Month 1–3) for knowledge transfer and hardware/lab access; delivery shifts to HCLTech's Offshore Delivery Center (ODC) from Shadow (Month 4–6) onward.
Role Summary
Execute day-to-day sustenance work across the multimedia stack — audio, video, display, graphics, camera and sensors/DSP — in the sub-discipline(s) assigned, reporting to the Pod Lead.
Key Responsibilities
• Implement and validate fixes for customer-reported and internal defects in the assigned sub-discipline (audio, video, display, graphics, camera ISP or sensors/DSP).
• Support the camera-to-compute image pipeline (sensor → ISP → compute) and the video post-processing chain in the assigned sub-discipline.
• Perform root-cause analysis using kernel logs, ADSP/DSP core dumps, and multimedia framework traces.
• Execute release validation against reference test suites and customer use-cases.
• Maintain multimedia HAL/driver code for the assigned sub-discipline across firmware/driver updates.
• Contribute findings to the pod knowledge base and RCA repository.
Must-Have Skills
• 5–8 years embedded multimedia / Linux BSP engineering, in one or more of audio, video, display, graphics, camera or sensor/DSP.
• Strong C/C++ and Linux kernel driver debugging.
• V4L2 / DRM / ALSA subsystems.
• Camera ISP tuning tools and CamX/Chi-CDK architecture.
• Video codec standards (H.264/H.265/AV1) and hardware codec pipelines.
• Adreno GPU driver stack, OpenGL ES/Vulkan.
• Hexagon DSP fundamentals; JTAG and kernel crash-dump analysis.
• Video post-processing pipeline development (scaling, colour conversion, filtering).
Good-to-Have Skills
• Multi-camera synchronization and multi-stream concurrency experience.
• AI/ML inference pipeline integration with zero-copy buffer sharing to an NPU.
• GStreamer pipeline development.
• HDR, tone-mapping and colour-science exposure.
• Direct experience with Chromatix or equivalent tuning tools.
• Camera-to-compute pipeline integration experience with downstream AI/vision consumers.