NVIDIA
Senior Software Engineer, Deep Learning – Autonomous Vehicles
NVIDIA, Olympia, Washington, United States,
We are looking for outstanding Deep Learning Software Engineers to develop and productize NVIDIA's deep learning solutions in autonomous driving vehicles. As a member of our Solution Engineering-Automotive Machine Learning team, you will apply groundbreaking NVIDIA deep learning model training/inference software libraries for deployment on NVIDIA's hardware architecture. You will develop new deep learning architectures, train deep learning models, and compile and optimize DNN graphs. As a part of this role, you will be building a close technical relationship with our automotive partners during product development and coordinate with the architecture and software teams to develop the best solution for partners working on our platforms.
What You'll Be Doing
Train, fine-tune, optimize and customize perception DNNs in low precision (FP16/INT8)Apply sophisticated quantization of DNNsImprove DNN architectures using ML algorithms on NVIDIA GPUs or DLAsContinuously improve inference speed, accuracy and power consumption of DNNsStay up to date with the latest research and innovations in deep learning, implement and experiment with new insights to improve NVIDIA's automotive DNNs.
What We Need To See
MS or PhD degree in computer science, computer vision, computer architecture or equivalent experience in technical field5+ years of work experience in software development.2+ years of experience in developing or using deep learning frameworks (e.g. PyTorch, JAX, TensorFlow, ONNX, etc.)Experience with solving a computer vision task using deep neural networks, such as object detection, scene parsing, image segmentation.Strong Python and/or C/C++ programming skillsProven technical foundation in CPU and GPU architectures, containers (nvidia-docker), numeric libraries, modular software designFamiliar with CNNs and Transformer architecturesWilling to take action and have strong analytical skills.Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very sophisticated projects.
Ways To Stand Out From The Crowd
Experience with low precision inference, quantization, compression of DNNsExperience with NVIDIA software libraries such as CUDA and TensorRTOpen source project ownership or contribution, healthy GitHub repositories, guiding and/or mentoring experience.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most hard-working and talented people in the world working for us. If you're creative and passionate about developing cloud services we want to hear from you!
The base salary range is 144,000 USD - 270,250 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.
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What You'll Be Doing
Train, fine-tune, optimize and customize perception DNNs in low precision (FP16/INT8)Apply sophisticated quantization of DNNsImprove DNN architectures using ML algorithms on NVIDIA GPUs or DLAsContinuously improve inference speed, accuracy and power consumption of DNNsStay up to date with the latest research and innovations in deep learning, implement and experiment with new insights to improve NVIDIA's automotive DNNs.
What We Need To See
MS or PhD degree in computer science, computer vision, computer architecture or equivalent experience in technical field5+ years of work experience in software development.2+ years of experience in developing or using deep learning frameworks (e.g. PyTorch, JAX, TensorFlow, ONNX, etc.)Experience with solving a computer vision task using deep neural networks, such as object detection, scene parsing, image segmentation.Strong Python and/or C/C++ programming skillsProven technical foundation in CPU and GPU architectures, containers (nvidia-docker), numeric libraries, modular software designFamiliar with CNNs and Transformer architecturesWilling to take action and have strong analytical skills.Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very sophisticated projects.
Ways To Stand Out From The Crowd
Experience with low precision inference, quantization, compression of DNNsExperience with NVIDIA software libraries such as CUDA and TensorRTOpen source project ownership or contribution, healthy GitHub repositories, guiding and/or mentoring experience.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most hard-working and talented people in the world working for us. If you're creative and passionate about developing cloud services we want to hear from you!
The base salary range is 144,000 USD - 270,250 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.
#J-18808-Ljbffr