Senior Computer Vision, VLM Performance Engineer

Job not on LinkedIn

September 3

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

☕ Washington – Remote

Although this job is listed in Washington, this company may be open to hiring remote in other states.

💵 $184k - $356.5k / year

⏰ Full Time

🟠 Senior

👷🏻‍♀️ Engineer

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NVIDIA

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Artificial Intelligence • Gaming • Automotive

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.

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

📋 Description

• Develop, profile and optimize inference pipelines for VLMs and other AI CV models: improve throughput and latency, data loading, pre- and post-processing. • Improve the efficiency of VLM models themselves: kernel optimization in CUDA • Upstream improvements to SDKs and libraries across NVIDIA and beyond to deliver accelerated computer vision at scale. • Promote high-performance AI computer vision across NVIDIA teams and functions (Engineering, Product Management, Marketing, and more).

🎯 Requirements

• Master's of Science in Computer Science or Electrical engineering or equivalent experience. • 8 years practical experience or equivalent • Expertise in AI computer vision (VLMs, Vision Transformers, Diffusion models). • Proven track record using its software ecosystem (PyTorch, HuggingFace, vLLM) to develop and release production-grade software. • Excellent software engineering fundamentals (source control, CI/CD, testing/validation, packaging, containerization, release). • Proficiency with Python, C++ and CUDA (kernel optimization) • Experience developing cloud applications (REST APIs, gRPC). • Excellent written, visual, and verbal communication to present performance challenges, tradeoffs, and architectural alternatives. • Curiosity and drive to learn new technologies and partner across teams and functions.

🏖️ Benefits

• equity and benefits