NVIDIA is seeking a Senior Systems Software Engineer to enhance the performance, reliability, and scalability of a system that routes AI workloads onto distributed GPU fleets. The role involves working on a polyglot platform that is fully open source, focusing on innovative solutions for GPU- and DPU-accelerated applications. The engineer will collaborate with diverse teams and contribute to an open-source project, ensuring integration with various NVIDIA technologies. This position is ideal for someone with a strong background in systems performance and distributed systems.

• Bachelor’s or Master’s Degree in Computer Science or equivalent experience
• 3+ years of hands-on software engineering experience
• Expert-level knowledge in a systems programming language such as Go, C, or Rust
• Strong understanding of container orchestration systems like Kubernetes
• Expertise in a scripting language such as Bash or Python
• Understanding of performance, security, and reliability in complex distributed systems

• Work in a distributed team to develop GPU- and DPU-accelerated applications
• Design and ship services in Java, Go, and Rust on a public repository
• Automate and optimize build, test, integration, and release processes for cloud native applications
• Collaborate with engineering teams to integrate the platform with adjacent NVIDIA technologies
• Steward an open-source project by triaging community issues and writing documentation

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.