As a Software Engineer in NVIDIA’s Internal Infrastructure Group, you’ll design and build distributed systems that power the workflows behind our next generation of GPUs and AI chips. The software you create will help thousands of engineers develop world-changing technology faster, more efficiently, and at scale. You’ll help scale the infrastructure that validates the world’s most advanced GPUs.
This role focuses on building current infrastructure systems and distributed workflow platforms.
What you'll be doing:
- Build and extend scalable, high-performance core infrastructure systems and workflow platforms that improve reliability and developer productivity across NVIDIA’s chip-design ecosystem.
- Design and optimize distributed systems that orchestrate millions of regression and validation workloads across heterogeneous compute environments.
- Design systems that coordinate dependency-aware execution across large-scale compute clusters.
- Define system architecture including APIs, data models, execution models, and scaling strategies.
- Own systems end-to-end,
from gathering requirements and proposing technical designs to implementation, performance analysis, testing, and deployment.
- Collaborate with internal teams to understand workflows, identify bottlenecks, and deliver automation that accelerates engineering workflows.
- Analyze and tune system performance across distributed services using profiling, tracing, and telemetry.
What we need to see:
- BS or MS in Computer Science or a related field (or equivalent experience).
- 9+ years of professional software development experience.
- Strong foundation in data structures, algorithms, concurrency, and distributed system design.
- Demonstrated experience designing and building distributed systems from first principles — including defining APIs, data models, execution flows, and scaling approaches.
- Experience owning systems through design, implementation, and evolution — including handling trade-offs, failure mod