Senior Software Engineer for Deep Learning Inference Workflows
4 weeks ago
We are seeking a highly skilled Senior Software Engineer to join our Deep Learning software team. As a key member of our team, you will be responsible for developing components of TensorRT, NVIDIA's SDK for high-performance deep learning inference.
Key Responsibilities:
- Develop graph parsers, optimizers, and tools for effective deployment of trained deep learning models using C++ and Python.
- Collaborate with teams of deep learning experts, GPU architects, and DevOps engineers across diverse teams.
Requirements:
- Bachelor's, Master's, PhD, or equivalent experience in Computer Science, Computer Engineering, Electrical Engineering, or related field.
- 6+ years of software development experience.
- Strong experience with C++11/C++14/C++17.
- Strong grasp of Machine Learning concepts, especially Natural Language Processing.
- Excellent communication skills, and an aptitude for collaboration and teamwork.
Preferred Qualifications:
- Experience developing System Software.
- Proficiency in Python, as well as background in GPU kernel programming using CUDA or OpenCL.
- Experience in software performance benchmarking, profiling, and optimizations.
- Background in compiler development.
- Experience in working with TensorRT, PyTorch, TensorFlow, ONNX Runtime, or other ML frameworks.
NVIDIA is a leader in the technology industry, and we are committed to fostering a diverse and inclusive work environment. We are an equal opportunity employer and do not discriminate 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.
The base salary range for this position is $180,000 - $339,250 USD, and you will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
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