
Pioneering accelerated computing and AI
Senior AI-Native Systems Software Engineer, TensorRT
Are you passionate about redefining how software is built in the age of Generative AI? 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.
If you are a systems-thinking C++ engineer who wants to help scale out an agentic development framework, stay on top of state-of-the-art deep learning breakthroughs, and improve users’ experience with lightning-fast model onboarding, we want to hear from you!
What you'll be doing:
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Architecting 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.
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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..
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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.
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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).
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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.
What we need to see:
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BS, MS, or PhD in Computer Science, Computer Engineering, AI, or equivalent experience.
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4+ years of relevant software development experience.
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Strong modern C++ skills: Proficiency with C++11/14/17 (or newer) and the STL, with an emphasis on clean, maintainable, performant code.
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Deep learning familiarity: Experience with modern inference frameworks and an understanding of the architectural nuances of LLMs, Diffusion, and multi-modal models.
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Systems thinking: Interest in how software architecture must evolve to support automated, agent-driven development and indefinitely scaling codebases.
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End-to-end product sense: Ability to translate high-level customer needs into concrete technical requirements and user-centric solutions.
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Pragmatic execution: Demonstrated ability to go from customer requests to production-quality software on tight timelines.
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Collaborative mindset: Excellent communication skills and comfort working across internal organizations and with customers.
Ways to stand out from the crowd:
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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.
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CUDA & kernel expertise: Experience with CUDA programming or exposure to kernel generation / autotuning efforts.
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High-velocity prototyping: A track record of rapidly turning state-of-the-art papers into working prototypes in days, not weeks.
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Performance profiling skills: Expertise in software performance analysis, profiling, and optimization (CPU and/or GPU), including using tooling to drive measurable wins.
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. If you're creative, autonomous, and love a challenge, come join our team and help us build the future of high-performance AI inference technology!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 25, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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NVIDIAについて

NVIDIA
PublicA computing platform company operating at the intersection of graphics, HPC, and AI.
10,001+
従業員数
Santa Clara
本社所在地
$4.57T
企業価値
レビュー
10件のレビュー
4.4
10件のレビュー
ワークライフバランス
2.8
報酬
4.5
企業文化
4.2
キャリア
4.3
経営陣
3.8
78%
知人への推奨率
良い点
Cutting-edge technology and innovation
Excellent compensation and benefits
Great team culture and collaboration
改善点
High pressure and expectations
Poor work-life balance and long hours
Fast-paced environment leading to burnout
給与レンジ
79件のデータ
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analyst
7件のレポート
$170,275
年収総額
基本給
$130,981
ストック
-
ボーナス
-
$155,480
$234,166
面接レビュー
レビュー5件
難易度
3.0
/ 5
面接プロセス
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
よくある質問
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
最新情報
Negotiating NVIDIA's Offer
Base, stock, and sign-on negotiable. Recruiters invested in closing candidates. CEO reviews all 42K employee salaries monthly. Stock growth has made many employees millionaires.
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NVIDIA Company Reviews
WLB rated 3.9/5 (lowest category). 64% satisfied with WLB but 53% feel burnt out. Compensation rated 4.4-4.5/5. Experience highly team-dependent.
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NVIDIA Interview Discussions
Technical bar is high with 4-6 rounds. Process takes 4-8 weeks. Expect C++ questions, LeetCode medium, and system design. Difficulty rated 3.16/5.
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NVIDIA Culture Discussions
Team-dependent experience; sink-or-swim culture that rewards high performers but can be overwhelming. No politics, flat structure, but demanding workload with some teams requiring evening/weekend work.
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