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AI Model Deployment Engineer

3 weeks ago


Greater Hyderabad Area, India beBeeVerification Full time ₹ 13,50,000 - ₹ 2,51,64,000
Job Title: Verification Engineering Lead

Lead the charge in developing cutting-edge AI models for audio and video applications, focusing on inference efficiency and performance optimization across NPUs, GPUs, and CPUs. In this pivotal role, you will spearhead verification efforts for complex SoCs/IPs, collaborating with cross-functional teams to bring next-generation multimedia and AI-driven system use cases to life.

Key Responsibilities:
  • Design, optimize, and deploy AI models that push the boundaries of innovation in audio and video processing.
  • Collaborate with R&D, systems, and integration teams to ensure seamless system use case verification and commercialization support.
  • Evaluate system performance, debug, and optimize for robustness and efficiency.
Requirements:
  • 12+ years of experience in functional verification, minimum 5+ years in Multimedia (Display, Camera, Video, Graphics) domain.
  • Strong knowledge in Display (Pixel processing, composition, compression, MIPI DSI, DisplayPort, HDMI) and Bus/Interconnect (AHB, AXI).
  • Multimedia technologies: Audio/Video codecs, Image Processing, SoC system use cases (Display, Camera, Video, Graphics).
  • Good understanding of DSP, codecs (audio/video), and real-time streaming pipelines.
  • AI accelerators – architecture understanding, verification, and deployment experience across NPUs, GPUs, and custom AI engines.
  • SoC system-level verification with embedded RISC/DSP processors.

Candidates should possess hands-on experience with AI models (e.g., CNN) and statistical modeling techniques, exposure to audio frameworks, audio solutions, and embedded platforms, as well as strong written and verbal communication skills.