AI Research Engineer developing sophisticated workflows leveraging LLM models at Cisco. Collaborating with teams to ensure security and scalability of AI solutions.
About the role
- Senior Engineer in generative AI focused on foundation models and AI systems design at NVIDIA. Collaborating on large-scale training and contributing to open-source projects.
Responsibilities
- Design and post-train foundation models (LLMs, VLMs, VLAs and DiTs)
- Contribute to large-scale training infrastructure and high-efficiency inference pipelines
- Collaborate on open-source and internal projects, author technical papers or patents
- Prototype and iterate rapidly on experiments across AI domains
- Design and implement model distillation algorithms for size reduction and diffusion step optimization
- Profile and benchmark training and inference pipelines
Requirements
- Minimum 8 years industry or 5+ years research/postdoc in generative AI systems
- Proficiency in PyTorch, JAX, or other deep learning frameworks
- Expertise in LLMs, coding agents, diffusion models, autoregressive models, VAE/GAN architectures
- Familiarity with all variants of attention mechanisms
- Hands-on experience with large scale training (e.g., ZeRO, DDP, FSDP)
- Experience with data processing (e.g., Ray, Spark)
- MS or PhD or equivalent in Computer Science, Machine Learning, Applied Math, Physics, or related field
- 12+ years of relevant software development experience
Benefits
- Eligible for equity and benefits
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