Join NVIDIA and help build the software that will define the future of generative AI. We are looking for a research engineer who is passionate about open-source and excited to create our next-generation post-training software stack. You will work at the intersection of research and engineering, collaborating with the Post-Training and Frameworks teams to invent, implement, and scale the core technologies behind our Nemotron models. What you’ll be doing:Work with applied researchers to design, implement and test next generation of RL and pos-training algorithmsContribute and advance open source by developing NeMo-RL, Megatron Core, and NeMo Framework and yet to be announced softwareYou will be engaged as part of one team during Nemotron models post-trainingSolve large-scale, end-to-end AI training and inference challenges, spanning the full model lifecycle from initial orchestration, data pre-processing, running of model training and tuning, to model deployment.Work at the intersection of computer-architecture, libraries, frameworks, AI applications and the entire software stack.Performance tuning and optimizations, model training with mixed precision recipes on next-gen NVIDIA GPU architectures.Publish and present your results at academic and industry conferencesWhat we need to see:BS, MS or PhD in Computer Science, AI, Applied Math, or related fields or equivalent experience3+ years of proven experience in machine learning, systems, distributed computing, or large-scale model training.Experience with AI Frameworks such as Pytorch or JAXExperience with at least one inference and deployment environments such as vLLM, SGLang or TRT-LLMProficient in Python programming, software design, debugging, performance analysis, test design and documentation.Strong understanding of AI/Deep-Learning fundamentals and their practical applications.Ways to stand out from the crowd:Contributions to open source deep learning librariesHands-on experience in large-scale AI training, with a deep understanding of core compute system concepts (such as latency/throughput bottlenecks, pipelining, and multiprocessing) and demonstrated excellence in related performance analysis and tuning.Expertise in distributed computing, model parallelism, and mixed precision trainingPrior experience with Generative AI techniques applied to LLM and Multi-Modal learning (Text, Image, and Video).Knowledge of GPU/CPU architecture and related numerical software.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 on the planet working with us. If you're creative and autonomous, we want to hear from you!Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 160,000 USD - 258,750 USD for Level 3, and 184,000 USD - 299,000 USD for Level 4.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until October 18, 2025.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.