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This includes software that interacts with various sensors including Cameras, LIDAR, RADAR, GPS, IMU, Vehicle CAN etc. We are seeking candidates with interests in inventing, developing, and maintaining application framework and tools on multi-computer and heterogeneous architectures.</p>\n<p>The role encompasses working with various teams across the stack, from platform and embedded software to cloud infrastructure, underpinned by safety and performance. It extends an opportunity to contribute to the technology that will drive the cars of the future!</p>\n<p><strong>What you&#39;ll be doing:</strong></p>\n<ul>\n<li>Integrating sensors into our AV driving software stack.</li>\n<li>Develop and improve startup user experience of our AV stack</li>\n<li>Working on areas such as sensor abstraction layers, data processing and performance optimization, data serialization, and service frameworks.</li>\n<li>Collaborate with hardware, platform software, product, safety, performance, algorithms and cloud teams.</li>\n</ul>\n<p><strong>What we need to see:</strong></p>\n<ul>\n<li>BS or MS degree in Computer Science, Electrical Engineering, or related field (or equivalent experience).</li>\n<li>6+ year of professional experience working on system software.</li>\n<li>Excellent programming skills in C++, C and Python.</li>\n<li>Familiarity with source control tools.</li>\n<li>Solid understanding of Linux, QNX, ROS, and/or real-time operating systems.</li>\n<li>Experience in developing user-space system software, with a willingness to delve into kernel-space and/or low-level hardware when needed.</li>\n<li>Knowledge about embedded system programming, threading, mutex, synchronization, communication, and parallel computing to build highly-scalable and efficient applications.</li>\n<li>Familiarity with hardware architecture for CPU/GPU and memory alongside performance.</li>\n<li>Prior experience working in the following areas: Autonomous Vehicles, Robotics, Self-Driving-Cars, GPU technology, Embedded Systems, Computer Vision.</li>\n<li>Outstanding communication skills and teamwork.</li>\n</ul>\n<p><strong>Ways to stand out from the crowd:</strong></p>\n<ul>\n<li>Deep understanding of system architecture, CPU/GPU/Memory/Storage, everything related to performance optimization.</li>\n<li>Experience in Autonomous Vehicle or Robotic System Building.</li>\n<li>Hand-on experience in embedded development, operating systems and real-time software.</li>\n</ul>\n<p>You will also be eligible for equity and benefits.</p>\n<p>Applications for this job will be accepted at least until March 13, 2026.</p>\n<p>This posting is for an existing vacancy.</p>\n<p>NVIDIA uses AI tools in its recruiting processes.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_93964b93-680","directApply":true,"hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://nvidia.wd5.myworkdayjobs.com","logo":"https://logos.yubhub.co/nvidia.com.png"},"x-apply-url":"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-System-Software-Engineer---AV-Platform_JR2014181","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["C++","C","Python","Linux","QNX","ROS","Real-time operating systems","Embedded system programming","Threading","Mutex","Synchronization","Communication","Parallel computing","Hardware architecture","CPU","GPU","Memory","Autonomous Vehicles","Robotics","Self-Driving-Cars","GPU technology","Embedded Systems","Computer Vision"],"x-skills-preferred":[],"datePosted":"2026-03-09T20:43:40.797Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Santa Clara"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C++, C, Python, Linux, QNX, ROS, Real-time operating systems, Embedded system programming, Threading, Mutex, Synchronization, Communication, Parallel computing, Hardware architecture, CPU, GPU, Memory, Autonomous Vehicles, Robotics, Self-Driving-Cars, GPU technology, Embedded Systems, Computer Vision"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_39959cd5-c5b"},"title":"ADAS Simulation Tools Developer","description":"<p>At Ford Motor Company, we believe freedom of movement drives human progress. We&#39;re looking for an ADAS Simulation Tools Developer to join our team. As a key member of our Safety Electronics team, you&#39;ll be responsible for developing and maintaining full vehicle simulation solutions to support Ford&#39;s ADAS software development. You&#39;ll work closely with team members to collaborate with our suppliers and other relevant Ford teams to meet the needs of Ford&#39;s ADAS software developers in an Agile working environment.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Lead the development of next Gen Advanced Driver Assistance Systems (ADAS) simulation environment using C++</li>\n<li>Develop ADAS simulation methods, processes, tools and documentation to integrate multiple ADAS features to support feature design, verification and validation</li>\n<li>Manage the deployment and release of the next Gen ADAS simulation environments on CI/CD pipeline to test ADAS software on every code change</li>\n<li>Support the integration of vehicle, sensor and feature control models and software to support the delivery of ADAS features</li>\n<li>Support on-going CAE correlations efforts</li>\n<li>Support the development of plan to transition physical vehicle testing to simulation-based tests</li>\n<li>Contribute to 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