7 days ago
Base Salary
$184k - $357k/yr
Responsibilities
- Design and develop software for deploying, configuring, upgrading, and recovering global compute infrastructure.
- Redesign services to operate and recover independently by reducing unnecessary dependencies and limiting failure impact.
- Build interfaces between provisioning, inventory, deployment, and service management systems.
- Develop automated test environments and tests for production workloads, scale, dependency failures, and recovery.
- Implement staged deployment rollouts with health checks and tested rollback procedures.
- Build monitoring and diagnostic tools for service failures, performance problems, and workload delays.
- Measure improvements in deployment time, service reliability, recovery time, and manual operating effort.
- Own infrastructure changes from design through production operation, including migrations and retiring old implementations.
Requirements
- Bachelor’s or master’s degree in Computer Science, or equivalent experience.
- 8+ years of infrastructure engineering experience, including infrastructure automation and configuration-management software development.
- Strong programming experience in Go or Python, including data structures, algorithms, automated testing, and software design.
- Strong Linux systems knowledge covering processes, networking, storage, and service dependencies.
- Experience introducing software changes into running production systems, including migration and recovery.
- Preferred: experience bringing manually administered environments under configuration management while remaining in production.
- Preferred: familiarity with LSF, Slurm, or another batch scheduler as a configuration target.
- Preferred: infrastructure CI/CD experience with test environments that resemble production.
- Preferred: experience instrumenting automated systems for observability.
Benefits
- Eligible for equity and benefits.
- Base salary varies by location, experience, and other objective job-related factors.
- Applications will be accepted at least until November 6, 2026.
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.