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.
Skills Required
- Bachelor’s or master’s degree, or equivalent experience
- 5+ years of professional experience
- Strong programming skills in C and C++
- Scripting skills in Perl, Python, or similar languages
- Experience working with large codebases and rapid prototyping or experimentation
- Understanding of CPU/GPU architecture, data structures, operating system internals, multithreading, inter-process communication, and memory management
- Experience with AUTOSAR practices, multiple vendor stacks, tools, methodologies, MCU hardware, MCALs, CDDs, and SWCs
- Excellent analytical and problem-solving skills
- Proactive and self-motivated work style
- Knowledge of multicore or heterogeneous SoCs, camera, imaging, video, graphics, or compute systems
- Experience with Adaptive AUTOSAR
- Participation in the AUTOSAR standard body
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked 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 — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
