- Bachelor’s degree in Computer Science or related field or equivalent experience; Master’s or PhD preferred.
- 15+ years of experience building and shipping large-scale distributed systems with significant hands-on coding in Python, Go, or similar systems languages.
- Proven skill in quickly transitioning from an idea to a functional prototype and then to a robust, scalable platform solution.
- Proven track record in constructing agentic AI systems, including RAG pipelines, long-lasting memory models, multi-agent management (e.g., LangChain, LangGraph), tool frameworks, and evaluation infrastructure.
- Expert-level depth in Kubernetes, containerized workloads, networking, APIs, and secure enterprise integration patterns.
- Experience crafting benchmarking, regression testing, telemetry, and observability systems that measure agent quality, latency, cost, reliability, and safety.
- Comprehensive knowledge of performance tuning in hybrid environments, including GPU-based inference systems.
- Excellent collaboration skills with the ability to influence cross-functional collaborators, build positive relationships, and clearly communicate complex architectural concepts to both technical and business audiences.
Ways to Stand Out from the Crowd
- Proven experience delivering reusable developer-acceleration components such as SDKs, APIs, templates, reference implementations, and CI/CD automation.
- Experience integrating enterprise vector databases and retrieval systems, and working with agentic search and orchestration platforms such as Glean, Microsoft Copilot Studio, Google Agentspace, or similar enterprise AI ecosystems.
- Experience embedding fine-grained policy enforcement, access controls, sandbox isolation, and audit trails directly into AI runtimes.
- GPU-acceleration approach with experience optimizing model inference, batching strategies, memory utilization, and efficiency on NVIDIA hardware.
- Evidence of meaningful open-source contributions, including core commits, maintainership, widely adopted libraries, or public technical artifacts demonstrating system-level depth.
NVIDIA is widely recognized as one of the technology world’s most sought-after employers. We have some of the most forward-thinking and creative people in the world working here. If you are driven by impact, passionate about enterprise AI, and encouraged to develop the blueprint of agentic AI at scale, we want to hear from you. Apply today!
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 272,000 USD – 431,250 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
