Senior Build Engineer – CUDA Driver, Libraries

🔥 0 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $184k - $287.5k / year

⏰ Full Time

🟠 Senior

👷🏻‍♀️ 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

• Decomposing and modularizing build processes for reusablity across multiple projects • Debugging CMake, pip, and conda issues encountered in CI and local builds • Working on scripting and infrastructure to manage dependencies across various environments and build systems • Bringing up builds and CI across platforms (x86_64/arm64) and OSes (Linux/Windows/Mac) and other unreleased hardware and software • Working with engineering leadership to identify the support matrix and manage the scope of the build matrix • Automating scheduled work for all of the above

🎯 Requirements

• Bachelor’s Degree in Systems/Software/Computer Engineering, CS or equivalent experience • 8+ years of relevant industry experience or equivalent academic experience after BS • Experience working across multiple highly-coupled projects (in Git or another VCS) • Experience working with C/C++ and Python projects • Familiarity with CMake, pip, conda or other tools for C/C++ or Python build and packaging • Familiarity with CI/CD systems including Github and Gitlab • Understanding of testing principles • Knowledge of release management practices • Strong analytical, debugging, and problem-solving skills • Familiarity with containerization technologies (e.g. Docker)

🏖️ Benefits

• equity • benefits