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Semiconductor Safety Engineer

5.00 to 0.00 Years   Bangalore   23 Mar, 2022
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Hardware / Networking
Functional AreaSales / BDOccupational Health / Safety
EmploymentTypeFull-time

Job Description

    NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI the next era of computing. NVIDIA is a learning machine that constantly evolves by adapting to new challenges that are hard to tackle, that only we can pursue, and that matter to the world. This is our life s work, to amplify human creativity and intelligence.At NVIDIA, we are building the system, hardware, and software technology which enables autonomous driving. Our safety engineering team is currently looking for a Semiconductor Safety Engineer to help develop the next generation of system on chip (SoC) products for autonomous driving. On our SoC development team, you will have a chance to create and work with some of the most exciting technologies in the world, inventing autonomous driving products using camera systems, RADAR, LIDAR, HD maps, path-planning, and vehicle dynamics functionalities. You will get to work with machine learning, computer vision, and robotics approaches. All of these technologies are fundamental to develop an end-to-end AI computing product for self-driving-cars.What you ll be doing:You will be working closely with internal and partner safety engineering teams to deliver innovative products. Specific responsibilities of the role include:
    • Collaborate with architects and designers to find optimal implementations of safety diagnostics in hardware and software.
    • Perform safety analysis and verification activities to confirm NVIDIA designs meet applicable performance targets, and aggressively work to improve products when issues are identified.
    • Work on the optimization, automation, and training of engineering teams and development of standard methodologies to ensure speed of light execution.
    • Provide support of third party assessment of NVIDIA safety concepts and SoC implementations.
    • Assist in creation of safety manuals, analysis reports, and user guides.
    What we need to see:
    • Bachelor s degree in an engineering field (or equivalent experience).
    • 5 years of meaningful experience in development and integration for automotive safety related semiconductors.
    • Possess a deep understanding of functional safety development processes needed to follow the ISO 26262 functional safety standard.
    • Experience in conducting safety analyses on semiconductors with high degree of logic integration.
    • Excellent analytical, written, and verbal communication skills.
    Ways to stand out from the crowd:
    • Experience developing semiconductors for Advanced Driver Assistance Systems (ADAS) or autonomous driving.
    • Understanding of neural networks, GPUs, and related design concepts.
    • Relevant safety personnel certifications (e.g. CFSP, CFSE, or equivalent).
    • A proven record of achieving semiconductor safety certifications from third party assessors such as TUEV SUED, exida, or equivalent.
    ,

Keyskills :
inspectionfirst aidautomotive safetyneural networksdeep learningiso 26262safety

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