Senior AI-Native Systems Software Engineer, TensorRT
NVIDIA · Santa Clara, CA · 4 wk ago
HybridEngineeringFull-time
About the role
Join NVIDIA’s TensorRT team to help lead a first-of-its-kind, AI-native initiative designed to make TensorRT the default entry point for out-of-framework inference globally. We are moving beyond traditional development cycles with a new framework built from the ground up to leverage swarms of AI agents to produce high-performance, high-quality, modern C++ software at an unprecedented scale.
Responsibilities
- Arcitecting an AI-native framework: Help design and build a codebase and architecture that scales beyond human capacity, supporting large numbers of AI agents working in parallel to generate, test, and validate production-grade software.
- Scaling through agentic workflows: Improve the ratio of compute-to-software output by adopting and building AI-native tools, multi-agent orchestrators, and codebase harnesses that keep humans focused on the highest-value work.
- Rapid prototyping with SOTA models: Act as a technical scout, identifying industry and academic breakthroughs (e.g., new attention mechanisms, KV cache strategies) and dispatching AI agent swarms to prototype and integrate these capabilities into our framework.
- Delivering a great user experience: Ensure a seamless, high-performance path to production for the latest model families (LLMs, Diffusion, Audio, Vision and multi-modal models).
- Extreme performance optimization: Work at the intersection of Python orchestration and C++ engine-level optimizations to achieve major latency and throughput gains for critical customer use cases.
Requirements
- BS, MS, or PhD in Computer Science, Computer Engineering, AI, or equivalent experience.
- 4+ years of relevant software development experience.
- Strong modern C++ skills: Proficiency with C++11/14/17 (or newer) and the STL, with an emphasis on clean, maintainable, performant code.
- Deep learning familiarity: Experience with modern inference frameworks and an understanding of the architectural nuances of LLMs, Diffusion, and multi-modal models.
- Systems thinking: Interest in how software architecture must evolve to support automated, agent-driven development and indefinitely scaling codebases.
- End-to-end product sense: Ability to translate high-level customer needs into concrete technical requirements and user-centric solutions.
- Pragmatic execution: Demonstrated ability to go from customer requests to production-quality software on tight timelines.
- Collaborative mindset: Excellent communication skills and comfort working across internal organizations and with customers.
Qualifications
- Agentic framework experience: Hands-on work with AI agent orchestrators or multi-agent coding frameworks, or experience building custom agentic coding harnesses for production software.
- CUDA & kernel expertise: Experience with CUDA programming or exposure to kernel generation / autotuning efforts.
- High-velocity prototyping: A track record of rapidly turning state-of-the-art papers into working prototypes in days, not weeks.
- Performance profiling skills: Expertise in software performance analysis, profiling, and optimization (CPU and/or GPU), including using tooling to drive measurable wins.
Skills
- Experience with modern inference frameworks.
- Understanding of the architectural nuances of LLMs, Diffusion, and multi-modal models.
- Interest in automated, agent-driven development and scaling codebases.
- Ability to translate high-level customer needs into concrete technical requirements and user-centric solutions.
- Pragmatic execution on tight timelines.
- Excellent communication skills and collaboration across internal organizations and with customers.
Benefits
- NVIDIA is widely considered to be one of the technology world's most desirable employers.
- We have some of the most forward-thinking and hardworking people in the world working for us.
- We are committed to fostering a diverse work environment and proud to be an equal opportunity employer.
- We highly value diversity in our current and future employees.
Pay
- Base salary range: $152,000 - $241,500 for Level 3, and $184,000 - $287,500 for Level 4.
Schedule
- Applications for this job will be accepted at least until April 25, 2026.