Salary
💰 $184,000 - $356,500 per year
Tech Stack
CloudDistributed SystemsDockerGoKubernetesLinuxMicroservicesPythonPyTorchRustTensorflowTerraform
About the role
- Lead technical activities for data centers with focus on hybrid deployments between cloud and on-prem
- Providing expertise in infrastructure workflows, including hardware, software release, workload orchestration and application tuning
- Provide fast and creative solutions for complex problems and write effective, clear and reliable architecture specification
- Translate requirements to vision, architecture and roadmap
- Work with engineering teams across NVIDIA to ensure your software integrates seamlessly from the hardware all the way up to the AI training applications.
Requirements
- Masters or PhD in Computer Science, Computer Engineering, Physics or equivalent experience.
- 9+ years of experience in this field.
- Data Sciences, Deep Learning, or Machine Learning coursework
- Ability to seamlessly shift between Linux system environments to Python programming
- Programming skills in 1 or more high-level languages (C, C++, Go, Rust, etc)
- System-level experience with both hardware and software
- Motivated self-starter with an equal balance of strong problem-solving skills and customer-facing communication skills
- Strong design, coding, analytical, debugging and problem-solving skills
- Passion for continuous learning and knowledge transfer.
- Ability to work concurrently with multiple groups locally and abroad in the organization