System Software Engineer, Profiler – GPU

🕒 July 24

🏄 California, Texas – Remote

🏄 California – Remote 🤠 Texas – Remote

💵 $152k - $287.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 21%

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

• Design, develop, and maintain GPU performance foundation libraries for Nsight tools, focusing on high-fidelity hardware events and counters • Develop and implement GPU assembly tests • Build and maintain a test validation framework written primarily in CUDA and GPU Assembly • Utilize emulators to debug and verify instruction events • Document tool use cases and data processing workflows to facilitate architectural explorations • Contribute to performance triage development and co-design foundational software libraries for developer tools in collaboration with the Hardware Architecture team • Develop software enabling GPU application developers to build compute applications for large distributed environments

🎯 Requirements

• B.S. EE/CS (or equivalent experience) and 5+ years of experience, or MS with 2+ years' experience, or Ph.D. • Strong programming ability in C, C++, and scripting languages such as Python • Good understanding or prior experience with low level assembly code • Solid understanding of hardware pipeline and execution unit instruction pipeline concepts • Willingness to work at a detailed implementation level • Knowledge of hardware-software co-design principles and practices • Experience with performance analysis and optimization of software on hardware accelerators • Experience with developing on simulators and emulators • Excellent problem-solving skills • Ability to work collaboratively in a team environment • Strong written and verbal communication skills

🏖️ Benefits

• Equity • Benefits