Senior Software Engineer - HPC

About the role

NVIDIA is seeking a Senior Software Engineer to contribute to the development and operation of advanced infrastructure for business-critical services and AI applications. The ideal candidate will have expertise in building and managing scalable, resilient, and low-latency services, as well as hands-on experience with major cloud providers and cloud-native technologies.

Responsibilities

• Apply modern distributed systems patterns to push the limits of scale, latency, and reliability.
• Continuously improve infrastructure provisioning and operations with automation, APIs, and self-service platforms.
• Operate in a globally distributed, hybrid multi-cloud environment (AWS, GCP, on-prem), building systems that are cloud-native and location-agnostic.
• Build strong cross-functional relationships and align with collaborators across various business units.
• Improve uptime and Quality of Service (QoS) through data-driven operations, strong Service Level Objectives (SLOs), and robust incident practices.
• Participate in the team's on-call rotation and lead high-impact incident response when needed.

Requirements

• Strong coding skills in at least two of: Go, Java, C/C++, Scala, Python, Elixir, with a focus on backend, systems, or infrastructure engineering.
• Deep understanding of scalability, consistency, and performance trade-offs in server-side systems; ability to build horizontally scalable, resilient, and low-latency services.
• Experience owning services end-to-end: architecture, build reviews, implementation, testing, rollout, observability, and iterative improvement.
• Hands-on experience with at least one major cloud provider (GCP, AWS, or Azure) and cloud-native primitives (managed storage, messaging, compute).
• Proficiency with modern CI/CD, GitOps workflows, and Infrastructure as Code practices for safe, repeatable changes.
• Bias for action, strong problem-solving skills, and a track record of simplifying complex systems.
• Bachelor's degree in Computer Science or related field (or equivalent experience), with 5+ years of relevant experience.
• Careful communication and collaboration skills; comfortable guiding technical decisions across teams.

Qualifications

• Prior experience building core infrastructure or control planes for HPC clusters, large-scale AI/ML platforms, or systems managed by job schedulers (e.g., Slurm or Kubernetes).
• Maintainer or co-maintainer responsibilities for an open-source component used in production (plugins, operators, exporters, controllers, or SDKs) at large scale.

Skills

• Experience with distributed systems and cloud-native technologies.
• Strong problem-solving and bias for action.
• Excellent communication and collaboration skills.

Benefits

• Competitive base salary range: $152,000 - $241,500.
• Eligibility for equity and benefits.

Pay

• Base salary will be determined based on location, experience, and the pay of employees in similar positions.

Schedule

• The posting is for an existing vacancy.

Ways to Stand Out

• Prior experience building core infrastructure or control planes for HPC clusters, large-scale AI/ML platforms, or systems managed by job schedulers (e.g., Slurm or Kubernetes).
• Maintainer or co-maintainer responsibilities for an open-source component used in production (plugins, operators, exporters, controllers, or SDKs) at large scale.