Senior System Software Engineer - AUTOSAR
Nvidia
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Questions you are likely to be asked
- Why do you want to join Nvidia?
- What is your experience with C++? Tell me one thing you learned the hard way.
- How do you decide what to test, and what does good code review look like to you?
- Describe a time a deadline forced a trade-off in quality. What did you choose and why?
- How would you design an API for a feature you have worked on?
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Practise the Senior System Software Engineer - AUTOSAR at Nvidia interview free →NVIDIA's Deep Learning GPUs have ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”. We are growing our company and the team with the smartest people in the world. We are looking for extraordinary Software Engineers to develop and productize NVIDIA's DRIVE OS software. As a member of NVIDIA's Solution Engineering team, you will adapt DRIVE OS solutions to various car platforms equipped with different sensors. We are looking to hire Senior System Software Engineer – AUTOSAR. Ideal candidate will have very strong programming skills, a good grasp of HW & SW Architectures, a solid exposure to AUTOSAR & related architecture, tools and frameworks. What you will be doing: Participate and provide inputs and recommendation into AUTOSAR Architecture evolution with design choices, tools and methodology Architectural explorations on both SW and HW fronts which include feasibility studies, quick prototyping, profiling, safety studies, data analysis and presentation of results Influence next-gen HW architectures and SW Architecture and design Drive complex technical issues to closure that may occur interacting with cross-teams What we need to see: BS/MS, or equivalent experience 5+ years of experience Strong programming skills in C/C++ and scripting skills in Perl, Python etc Good experience and comfortable working with large codebases and its hacking for quick prototyping/experimentation Understanding of CPU/GPU Architecture, data structures, OS internals, multi-threading, inter-process communications, memory management techniques Rich Experience with AUTOSAR practice with different vendor AUTOSAR stacks (Vector, EB) tools and methodologies, various MCU HWs and development of MCALs (SPI, PCIe, Eth), CDDs, SWCs Excellent analytical and problem solving skills Proactive and self-motivated Knowledge and Experience in multicore/heterogenous SoCs/camera/imaging/video/graphics/compute system would be big plus Experience with Adaptive AUTOSAR and AUTOSAR standard body participation be a definite standout NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression , sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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Listed on workday · posted 2026-10-03. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.