NVIDIA · 4 days ago
Deep Learning Software Engineer, TensorRT Performance - New College Grad 2026
United States
Full-time
Remote
Entry, Mid Level
$124K/yr - $196K/yr
2+ years expNVIDIA is seeking an experienced Deep Learning Engineer passionate about analyzing and improving the performance of NVIDIA’s inference ecosystem. The role involves collaborating with the deep learning community, optimizing performance across various NVIDIA accelerators, and developing innovative inference solutions.
Artificial Intelligence (AI)TransportationCloud ComputingEmbedded SoftwareGamingHardwareQuantum ComputingSemiconductorAI InfrastructureAutonomous VehiclesEmbedded SystemsFoundational AI
Responsibilities
Establish groundbreaking performance benchmarking methodologies and analysis workflows and identify performance issues and opportunities for NVIDIA’s inference ecosystem (e.g. TensorRT/TensorRT-EdgeLLM/Torch-TensorRT)
Contribute features and code to NVIDIA/OSS inference frameworks including but not limited to TensorRT/TensorRT-EdgeLLM/Torch-TensorRT
Develop new model pipelines for NVIDIA’s inference ecosystem with optimized performance including but not limited to areas like quantization, scheduling, memory management, and distributed inference to set the gold standard for Gen AI performance
Work with cross-collaborative teams inside and outside of NVIDIA across generative AI, automotive, robotics, image understanding, and speech understanding to set directions and develop innovative inference solutions
Scale performance of deep learning models across different architectures and types of NVIDIA accelerators
Qualification
Required
Bachelors, Masters, PhD, or equivalent experience in relevant fields (Computer Science, Computer Engineering, EECS, AI)
2 years of relevant software development experience
Strong C++, Python programming and software engineering skills
Experience with DL frameworks (e.g. PyTorch, JAX, TensorFlow, ONNX) and inference libraries (e.g. TensorRT, TensorRT-LLM, vLLM, SGLang, FlashInfer)
Experience with performance analysis and performance optimization
Preferred
Strong foundation and architectural knowledge of GPUs
Deep understanding of modern deep learning models and workloads (e.g. Transformers, Recommenders, ASR, TTS, Visual Understanding)
Proficiency in one of the deep learning programming domain specific languages (e.g. CUDA/TileIR/CuTeDSL/cutlass/Triton)
Prior contributions to major LLM inference frameworks (e.g. vLLM) or prior experience with graph compilers in deep learning inference (e.g. TorchDynamo/TorchInductor)
Prior experience optimizing performance for low-latency, resource-constrained systems or embedded AI pipelines (e.g. Jetson systems or other edge AI accelerators)
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
10001+ employees
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
89%
Represents job field similar to this job
Engineering and Development
Management and Executive
Product Management
Marketing
Sales
Accounting and Finance
Customer Service and Support
Creatives and Design
Human Resources
Arts and Entertainment
Legal and Compliance
Trends of Total Sponsorships
*2026 (1247)
2025 (1868)
2024 (1353)
2023 (976)
2022 (835)
2021 (601)
2020 (529)
Funding
Current Stage
Public CompanyTotal Funding
$29.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2026-06-15Post Ipo Debt· $25B
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
Leadership Team
Jensen Huang
Founder and CEO
Michael Kagan
Chief Technology Officer
Recent News
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