Senior System Software Engineer – Dynamo-Triton Inference Server

🕒 April 27

🏄 California, Washington – Remote

🏄 California – Remote ☕ Washington – Remote

💵 $152k - $287.5k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

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.

📋 Description

• Develop world-class GPU-accelerated AI inference serving software • Contribute to feature development and drive broad customer adoption • Drive the convergence of the Triton Inference Server and NVIDIA Dynamo stacks to establish a unified, high-performance inference platform • Ensure feature parity and effectively serve both Large Language Model (LLM) and non-LLM workloads • Build robust software designed to be deployed in production server or cloud environments • Optimize and balance prediction throughput and latency • Develop and adopt the next generation of inference technologies

🎯 Requirements

• MS or PhD in Computer Science or relevant field (or equivalent experience) • 5+ years of professional experience working on deep learning software • Excellent Rust & C++ skills • Familiarity with Python • Strong programming & software design skills including debugging, performance analysis, and test design • Experience with high-scale distributed systems and ML systems • Strong communication skills and ability to work in a fast-paced, agile team environment

🏖️ Benefits

• equity • benefits