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One (1) year working with geographic information system (GIS) tools and systems or one (1) year working with computer-aided drafting (AUTOCAD). One year (1) experience working with computer-aided drafting (AUTOCAD) and one year (1) experience working with geographic information system (GIS.
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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
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Master’s degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 1 year's experience in software engineering or related area.
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Our team includes people with various backgrounds including: Industrial Design, Transportation Design, Computer Graphics, 3D Animation/Modeling, Architecture, Fine Arts and Engineering from all over the world.
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MS or PhD in EE with emphasis on advanced packaging or RFIC/mmWave design/Bachelors degree in Computer Science, Electrical/Electronic Engineering, Information Technology or another related field or Equivalent.
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B.S. in Business Administration, Automotive Engineering, Mechanical Engineering, Systems Engineering, Electrical Engineering, Computer Engineering, Industrial Engineering, or Applied Science.
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BS or equivalent experience in Electrical Engineering or Computer Engineer or related degree required, advanced degrees (MS, PhD) a plus. You have experience with all stages in the ASIC design flow including emulation, prototyping, DFT, timing analysis, floor planning, ECO, bringup & lab debug, and ATE test development.
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PhD. in Computer Science, Computer Engineering, Biomedical Engineering, Electrical Engineering, Biophysics, Mathematics, health or biological sciences. We research, develop, and commercialize innovative digital health products and solutions by bringing together the full capabilities of our team, including product strategy and management, clinical expertise, partnerships, UI/UX design, usability research, clinical research and validation, software development, AI / Gen AI, and regulatory.
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Ph. D. in Computer Science, Computer Engineering, Biomedical Engineering, Electrical Engineering, Biophysics, Mathematics, health sciences or related areasor related field, or equivalent combination of education, training, and experience.
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What we need to see:PhD or MSc degree in Computer Science, Applied Math, or related science or engineering field is preferred or equivalent experience. Around the world, leading commercial and academic organizations are revolutionizing AI, scientific and engineering simulations, and data analytics, using data centers powered by GPUs. Applications of these technologies include LLMs, Computer Vision, Encryption, autonomous vehicles and countless others.
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Bachelor’s degree in computational and engineering sciences (e.g., computer science, computational biology, electrical engineering, biomedical engineering) or other related fields.
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Masters or Phd in Electrical Engineering, Computer Engineering, Computer Science, or similar field of study. Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or similar field of study.
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Technology, Computer Software, Telecommunications, Internet, Information Technology and Services, Software Engineering, Semiconductors, Staffing and Recruiting, Mechanical Engineering, Electrical Engineering.
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Familiarity with sensor modalities used in robotics and autonomous driving applications (Camera / Vision, RADAR, LIDAR, INS / IMU) We differentiate ourselves from other autonomous driving startups through a combination of state-of-the-art technological know-how and real automotive experiences of shipping ADAS systems at a volume production scale.
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PhD degree and 2 years of experience or Master's and 4 years of experience in computer science, statistics, data science, mathematics or other discipline (e.g., electrical engineering, economics, psychology) that exposes scientific methods of research and analysis.
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computer engineering jobs in Mountain View, CA
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