NVIDIA · 5 hours ago
Software Engineer, Deep Learning – Autonomous Vehicles
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Responsibilities
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
Qualification
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Required
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
Preferred
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.
Benefits
Equity and benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (735)
2022 (892)
2021 (696)
2020 (534)
Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Recent News
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2024-12-23
2024-12-23
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