This role pays more than
76%
of similar roles. Most pay
$173,962–$235,750
— the shaded band above.
At the midpoint, this role pays about
$236k
versus about
$205k
for comparable roles.
Based on 239 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
896 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 876 roles with salary data.
The Tech Engagement Lead - Model Builder serves as a technical driver and advocate for the accelerated computing stack within large-scale generative AI development initiatives. You will engage with senior research teams to optimize workflows, integrate core technologies into training and inference pipelines, and influence internal product roadmaps based on partner needs. The role involves managing complex integrations involving GPU architectures, DGX systems, InfiniBand networking, CUDA-X libraries, NeMo frameworks, and TensorRT. Candidates must possess expertise in distributed systems, high-performance computing, and large model architectures like Transformers and Diffusion Models. Required skills include proficiency with PyTorch, JAX, cuDNN, NCCL, and Kubernetes for container orchestration. You will solve critical challenges in scaling training infrastructure, managing GPU clusters, and implementing advanced optimization techniques to ensure the deployment of robust, scalable generative AI solutions across diverse cloud and on-premise environments.
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