AI Vision Processors For Edge Applications Our solutions make cameras smarter by extracting valuable data from high-resolution video streams. Job Description We are looking for talented engineers to join our VLSI Verification team. You’ll work on next-generation SoCs, applying advanced verification methodologies (SystemVerilog/UVM, coverage-driven, assertion-based) and leveraging AI-assisted tools to accelerate testplan writing, assertion development, and debug. Responsibilities • Develop and execute verification plans for complex SoCs/IPs • Build testbenches, assertions, and coverage models • Collaborate with architects, designers, and post-silicon teams • Ensure correctness and reliability of cutting-edge designs Why Join Us • Cutting-edge verification with AI-powered flows • Work alongside global world-class engineers • Accelerated growth in a learning-driven culture If you are smart, curious, and eager to learn, join us and shape the future of silicon innovation!
AI Vision Processors For Edge Applications Our solutions make cameras smarter by extracting valuable data from high-resolution video streams. Job Description Job Description: 1. Software integration and debugging on IP Camera products 2. Study and debug issues on IP Camera applications including image processing, AE/AWB/AF algorithm, video compression, network application and camera functions. 3. Travel to U.S., Korea and China to co-work with customers for debugging and integration issues. 4. Contact window for customers, coordinate internal resources and manage project schedule. ＊Required skills: 1. Good C programming in embedded system. 2. Familiar with Linux. 3. Will to co-work with customers on MP support and design win. 4. Good communication and personal skill. Preferred skills: 1. familiar with linux device driver programming 2. familiar with Network video streaming application programming is a plus. 3 . Android related experience is a plus.
AI Vision Processors For Edge Applications Our solutions make cameras smarter by extracting valuable data from high-resolution video streams. Job Description The rapid acceleration of deep learning is leading to new generations of high-performance and low-power architectures to bring cutting edge computer vision algorithms to diverse new markets. At Ambarella, architecture engineers work at the forefront of this technological leap in computer architecture by designing new systems to accelerate key functions of computer vision. Studying industry trends across deep learning and computer architecture, we create new ideas and concepts for software systems and hardware design, justify and document new features and train others to leverage the most of our architecture. Our team members translate algorithms into hardware design specifications, identify performance bottlenecks, optimize system performance and build our knowledge into software libraries to benefit other internal teams and external customers across different target markets. Our team works closely with all members of our high level software, compiler and SoC design teams, thus our team clearly communicates in both verbal and written form. We actively seek candidates with strong background in either architecture, hardware modeling or software performance optimization experience to join an exciting cross-functional team to deliver the next generation of Ambarella's computer vision processors. [Responsibilities] - Model performance critical areas of the hardware architecture, identify performance bottlenecks and propose solutions. - Develop expertise in neural network structures and their evolution as it applies to image processing, computer vision and robotics. - Apply graph theory and network analysis to understand and solve resource allocation problems in neural networks. - Develop performance analysis infrastructure and tooling. - Interface with various teams in the organization for data collection and productization of solutions. Job Requirements: - PhD or Masters in Computer Science, Electrical Engineering or related field. - Solid understanding of computer architecture and processor systems. - Proficiency in C/C++, Python, and hardware development languages. - Excellent communication skills.
AI Vision Processors For Edge Applications Our solutions make cameras smarter by extracting valuable data from high-resolution video streams. Job Description Role Description: The IDSP Algorithm Development Engineer is responsible to develop image processing algorithm. This role focuses on researching, designing, and implementing advanced image processing algorithms for various imaging applications. The ideal candidate will have a strong background in digital signal processing, computer vision, and algorithm development. Key responsibilities: • Design and develop innovative image processing algorithms for various imaging applications. • Optimize algorithms for performance, memory usage, and power efficiency • Create and maintain technical documentation for algorithms and implementations • Collaborate with cross-functional teams to integrate algorithms into production systems • Analyze and improve existing image processing pipelines • Conduct performance analysis and optimization of implemented algorithms • Develop proof-of-concept prototypes to validate new approaches Job Requirements: • Master's or Ph.D. in Electrical Engineering, Computer Engineering, Computer Science, or related field • 3+ years of experience in image processing algorithm development • Strong programming skills in C++, Python, and MATLAB • Extensive knowledge of digital signal processing theory and applications
AI Vision Processors For Edge Applications Our solutions make cameras smarter by extracting valuable data from high-resolution video streams. Job Description Job Description: 1. VLSI Advance Technology Node (2nm and Below) Physical Design Implementation. 2. Comprehensive scope to touch, including chip floorplanning, a variety of design closures on timing, signal integrity, power integrity, DFM as well as physical verifications. 3. Develop physical design flows/solutions on the cutting edge technology node. Job Requirements: 1. Good communication skill, enthusiasm, responsible, opened minded and team work spirit. 2. Studied VLSI design related courses. 3. Familiar with industrial ASIC design flow is a plus. 4. Had the experience on the EDA tool of Innovus or ICC2 is a plus.
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