Senior System Software Engineer - Github
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.
Here is what this employer asked for. Sign in and we will fill in your half.
NVIDIA builds the GPUs and the CUDA software stack that most modern AI is trained and served on, along with its own research in graphics, robotics and foundation models.
Search by role, company, or anything a posting mentions.