Senior Solutions Architect, Foundation Model at NVIDIA

Beijing, China

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Robotics, Artificial IntelligenceIndustries

Requirements

Bachelor's degree in Computer Science, Robotics, Engineering, or a related field
3+ years of full-time industry experience in large-scale MLOps and AI infrastructure
Proven experience designing and optimizing distributed training systems with frameworks like PyTorch, JAX, or TensorFlow
Deep understanding of GPU acceleration, CUDA programming, and cluster management tools like Kubernetes
Strong programming skills in Python and a high-performance language such as C++ for efficient system development
Strong experience with large-scale GPU clusters, HPC environments, and job scheduling/orchestration tools (e.g., SLURM, Kubernetes)

Responsibilities

Design, implement, and optimize scalable ML training pipelines for training multimodal foundation models for robotics
Collaborate with researchers to integrate cutting-edge model architectures into scalable training pipelines
Implement scalable data loaders and preprocessors for multimodal datasets, such as videos, text, and sensor data
Optimize GPU and cluster utilization for efficient model training and fine-tuning on massive datasets
Develop robust monitoring and debugging tools to ensure the reliability and performance of training workflows on large GPU clusters

Skills

PyTorch

JAX

TensorFlow

CUDA

Kubernetes

Python

C++

SLURM

MLOps

distributed training

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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