NVIDIA is seeking a Senior Software Integration Engineer to lead the end-to-end delivery of new autonomous vehicle features, from definition to launch. We are widely considered to be one of the technology world’s most desirable employers, with some of the most forward-thinking individuals in the world working with us. With our invention of the GPU, we set the stage for advances in the field of artificial intelligence, computer vision, and medical research. Today, we are developing groundbreaking products in robotics and intelligent autonomous machines. There has never been a more exciting time to join us!
What you will be doing:
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Defining functional software architecture for NVIDIA's L2/L3 autonomous driving solutions.
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Integrating modular software components (e.g. perception, planning, etc.) together to implement customer-required self-driving functions.
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Optimizing product implementation to achieve target performance goals.
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Diagnosing system software & functional driving issues reported on our target driving platforms, including on-road & simulation.
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Developing efficient mechanisms to improve utilization on computers with multiple heterogeneous hardware engines.
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Performing in-vehicle tests, collecting data and completing autonomous drive missions.
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Developing system tests, documentation of product functions, evaluating quality and proposing corrective actions.
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Developing highly efficient product code in C++, making use of high algorithmic parallelism offered by GPGPU programming (CUDA).
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Follow quality and safety standards such as defined by MISRA.
What we need to see:
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Bachelor of Science in Electrical Engineering or Computer Science (or equivalent experience), with 5+ years of experience in a similar or related role
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Excellent C and C++ programming skills and scripting skills.
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Experience on developing software in heterogeneous architectures, including GPUs.
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Knowledge of image processing APIs (e.g. OpenCV) and MATLAB tools, automotive systems, notably ADAS applications.
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Software development for CUDA, Linux, and QNX.
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Experience with version control systems GIT and build system like CMake/Bazel.
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Be hands-on and work well within a team of algorithm, software and hardware engineers, with a significant level of detail orientation and a penchant for data organization and presentation.
Ways to stand out from the crowd:
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Experience with autonomous vehicles and/or machine learning
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Experience with start-ups and/or early-stage products
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Understanding of parallel, embedded and distributed architectures.
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Great communication and analytical skills.
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Self-motivated and a great teammate.
If you're passionate about autonomous vehicles, we would love to hear from you!
The base salary range is 148,000 USD - 276,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
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.
Top Skills
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.”
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