Senior Deep Learning Software Engineer, Inference

🕒 July 14

🗽 New York, Massachusetts, +2 more states – Remote

🗽 New York – Remote 🍂 Massachusetts – Remote 🤠 Texas – Remote ☕ Washington – Remote

💵 $152k - $287.5k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 5%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Performance optimization, analysis, and tuning of DL models in various domains like LLM, Multimodal and Generative AI • Scale performance of DL models across different architectures and types of NVIDIA accelerators • Contribute features and code to NVIDIA’s inference libraries, vLLM and SGLang, FlashInfer and LLM software solutions • Work with cross-collaborative teams across frameworks, NVIDIA libraries and inference optimization innovative solutions

🎯 Requirements

• Masters or PhD or equivalent experience in relevant field (Computer Engineering, Computer Science, EECS, AI) • 5+ years of relevant software development experience • excellent C/C++ programming and software design skills • SW Agile skills are helpful • Python experience is a plus • Prior experience with training, deploying or optimizing the inference of DL models in production is a plus • Prior background with performance modeling, profiling, debug, and code optimization or architectural knowledge of CPU and GPU is a plus • GPU programming experience (CUDA, OAI TRITON or CUTLASS) is a plus

🏖️ Benefits

• health insurance • retirement plans • paid time off • flexible work arrangements • professional development • bonuses • stock options • equity