Software Engineer, Deep Learning – Autonomous Vehicles
NVIDIA
Date: 1 week ago
City: Remote, Remote
Salary:
$148,000
-
$276,000
per year
Contract type: Full time
Remote
We are looking for outstanding Deep Learning Software Engineers to develop and productize NVIDIA's deep learning solutions in autonomous driving vehicles. We work on innovative vision and language models to ensure they are accelerated by NVIDIA SW. In addition, we contribute to our open-source library and have opportunities to present our work at conferences. As a member of our Solution Engineering-Automotive Deep Learning team, you will apply ground breaking 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
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.#deeplearning
What You'll Be Doing
- Train, fine-tune, optimize and customize perception DNNs in low precision (FP16/INT8)
- Apply various quantization methods of DNNs
- Improve DNN architectures using ML algorithms on NVIDIA GPUs or DLAs
- Continuously improve inference speed, accuracy and power consumption of DNNs
- A MS or PhD in Computer Architecture, Computer Science, Electrical Engineering or related field or equivalent experience
- 2+ years of work experience in developing or using deep learning frameworks (e.g. PyTorch, JAX, TensorFlow, ONNX, etc.)
- Strong Python and C/C++ programming skills
- Experience with NVIDIA software libraries such as CUDA and TensorRT
- Familiarity with sophisticated C++11/C++14 language features and CUDA kernel programming.
- Open source project ownership or contribution, balanced GitHub repositories, guiding and/or mentoring experience.
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.#deeplearning
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