Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Tier-1 employer, remote role, and mid-level experience raise competition despite niche GPU-distributed requirements.
Specialized GPU, distributed systems, and Kubernetes expertise strongly limits cross-industry portability.
Explicit 3+ years plus mandatory Kubernetes, Go/Rust, and kernel/distributed systems expertise enforces strict filters.
Improve performance, reliability, and scalability of a system routing AI workloads onto distributed GPU fleets.
Design, develop, and ship services in Java, Go, and Rust for an open-source cloud-native platform integrating with NVIDIA technologies.
Automate and optimize build, test, integration, and release processes for Kubernetes-based runtimes and steward an open-source project including community issue triage and documentation.
Bachelor’s or Master’s Degree in Computer Science or equivalent experience.
3+ years of hands-on software engineering experience.
Expert-level knowledge in Go, C, or Rust with strong understanding of Data Structures, Algorithms, and Distributed Software Architecture.
Strong experience with Kubernetes and container technologies, including continuous integration automation tools like GitLab and ArgoCD.
Experienced in systems performance engineering and distributed systems with deep Kubernetes runtime knowledge.
Familiarity with Unix/Linux system internals and scripting languages such as Bash or Python for automation.
Has worked with pub-sub models, message queues, high-throughput networks, HTTP/2, gRPC, and Kubernetes Custom Resources/Operators.