NVIDIA
Automotive Technology
SystemSoftwareIntegrationEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“System Software Integration Engineer at NVIDIA. Skills: System integration, Software integration, Autonomous vehicles. Integrate system software components. Optimize system software components”
What You'll Achieve.
Witness creations hit the road
Industry & Context.
Problem-solving skills; Analytical skills; Root cause analysis; Debugging; Diagnostic abilities
3+ onsite visits per year, Travel to customer locations, Flexibility in work hours
What They're Looking For.
Must Have
Bachelor's or Master’s degree, 2-3 years of experience, ADAS software engineer experience, Proficiency in embedded systems, Proficiency in C/C++, Proficiency in scripting languages, Top-notch debugging abilities, Top-notch diagnostic abilities, Solid grasp of embedded systems, Solid grasp of RTOS, Solid grasp of ADAS sensor sets, Solid grasp of software integration, Proficient in Linux, Proficient in QNX, Extensive knowledge of AV stack integration, Firsthand experience overcoming system challenges, Knowledge of CI/CD topics, Knowledge of version control, Knowledge of Dockers, Familiarity with vehicle architecture, Familiarity with CAN, Familiarity with Flexray, Familiarity with Ethernet, Willingness to travel to customer locations, Flexibility in work hours
Nice to Have
Proven track record of series introduction, Contributed to full OEM product, First hand experience in customer-facing roles, Familiarity with System in Loop, Familiarity with Hardware in Loop, Understanding of OEM factory processes, Understanding of OEM factory requirements, EU driver's license, Advanced driving skills, T2 certification
What You'll Do.
Integrate system software components
Optimize system software components
Craft automation pipelines
Maintain automation pipelines
Analyze system software
Refine product experience
Collaborate with engineering teams
Deliver cutting-edge solutions
Integrate safety-critical systems
How You'll Work.
Team & Collaboration
Global engineering teams; Cross-functional teams
Full Job Description
Step into the future with NVIDIA, a global leader in AI computing, data science, and graphics, driving innovation in Virtual Reality, Artificial Intelligence, Deep Learning, and Autonomous Vehicles. Our team of visionaries is reshaping industries worldwide with cutting-edge technologies. Join us on an exhilarating journey as a Systems/Software Integration Engineer, where you'll fuse our ADAS software stack with OEM applications, witnessing your creations hit the road in real-time. NVIDIA is synonymous with innovation, boasting trailblazers who are shaping the world with their forward-thinking approaches. This is your chance to be part of a vibrant community that's redefining the technological landscape. Ready to shape the future of automotive technology with NVIDIA? Apply now to be part of a team that's revolutionizing the industry and driving innovation to new heights. Your potential awaits! **What You 'll Be Doing:** * Seamlessly integrate and optimize system software components for automotive applications. * Craft and maintain automation pipelines to streamline processes. * Dive deep into analysis, diagnosing root causes, and refining the product experience. * Collaborate globally with our engineering teams in the US, APAC, and Europe to deliver cutting-edge solutions to customers. * Own the integration path for safety-critical systems as we move from prototype fleets to global mass production **What We Need To See:** * Bachelor's or Master’s degree in an engineering field with minimum 2-3 years of experience as an ADAS software engineer at a Tier 1, OEM, or equivalent. * Exceptional problem-solving and analytical skills. * Proficiency in embedded systems, C/C++, and scripting languages (Python, Bash, etc.) with top-notch debugging and diagnostic abilities. * Solid grasp of embedded systems, real-time operating systems, ADAS sensor sets, and software integration principles. * Proficient in Linux and QNX environments. * Extensive knowledge of autonomous vehicle st
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