OMNIVISION-posted 3 months ago
$129,667 - $135,000/Yr
Full-time • Mid Level
Irvine, CA
1,001-5,000 employees

The position involves designing and optimizing raw image compression algorithms such as MIPI MPC and JPEG XS specifically for automotive image sensors. The goal is to balance bandwidth efficiency with visual quality. Additionally, the role includes developing cybersecurity monitoring systems that comply with automotive standards, particularly ISO 21434. This encompasses conducting threat analysis (TARA) and vulnerability scoring (CVSS 4.0). The candidate will prototype and model algorithms using programming languages like Python and C++, and validate hardware implementations through Siemens Catapult to optimize for power and area. Collaboration with hardware engineers is essential to integrate these algorithms into sensor systems while ensuring compliance with the MIPI CSE security framework. Documentation of algorithm design, verification results, and cybersecurity protocols is also a key responsibility to ensure reproducibility and audit readiness.

  • Design and optimize raw image compression algorithms for automotive image sensors.
  • Develop cybersecurity monitoring systems compliant with automotive standards (ISO 21434).
  • Conduct threat analysis (TARA) and vulnerability scoring (CVSS 4.0).
  • Prototype and model algorithms using Python/C++.
  • Validate hardware implementation via Siemens Catapult for power/area optimization.
  • Collaborate with hardware engineers to integrate algorithms into sensor systems.
  • Ensure compliance with MIPI CSE security framework.
  • Document algorithm design, verification results, and cybersecurity protocols.
  • Master’s degree or foreign equivalent degree in Computer Science, Computer Engineering, or related fields.
  • Advanced courses in computer vision, computer network, and computer security.
  • Experience with attack vectors including SQL injection and Cross-Site Scripting (XSS).
  • Knowledge of defense mechanisms like TLS encryption.
  • Ability to design secure communication protocols and analyze vulnerabilities in virtual servers.
  • Experience with image filtering techniques (Gaussian, Sobel, Laplacian) for noise reduction, edge detection, and sharpening.
  • Familiarity with template matching for object localization and feature tracking.
  • Experience with multi-scale analysis using pyramid decomposition for hierarchical processing.
  • Ability to develop algorithms to reconstruct 3D depth maps from 2D stereo image pairs using epipolar geometry and disparity mapping.
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