
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.
🕒 June 11
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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.
• 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
• 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)
• equity • benefits
Apply Now🕒 June 11
Data Engineer II at Bellese improving healthcare technology solutions focused on service design and technology development. Responsible for data engineering, integration, and collaboration within the HQR team.
Apache
ETL
Python
Spark
🕒 June 11
Senior Professional Services Engineer at NICE consulting on contact center technologies. Engaging with customers in implementing and customizing solutions for their needs.
🕒 June 11
Senior Microsoft Engineer managing endpoint platform and broader M365 ecosystem. Ensuring a fast, secure, and modern digital workplace experience.
Azure
🕒 June 11
Android
Java
Kotlin
Objective-C
Roku
Swift
🕒 June 11
Technical Services Engineer providing expert support and troubleshooting in healthcare IT systems. Collaborating with cross-functional teams to maintain service quality and continuous process improvement.
🇺🇸 United States – Remote
💵 $90k - $110k / year
💰 $225k Grant on 2019-08
⏰ Full Time
🟡 Mid-level
🟠 Senior
👷🏻♀️ Engineer
Linux