Senior Software Engineer, Data Infrastructure for Robotics Research at NVIDIA

Santa Clara, California, United States

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Robotics, AI, TechnologyIndustries

Requirements

Bachelor's degree in Computer Science, Robotics, Engineering, or a related field (or equivalent experience)
12+ years of full-time industry experience in large-scale MLOps and AI infrastructure
Experience with ML frameworks like PyTorch, JAX, or TensorFlow
Experience with Kubernetes and Ray
Deep understanding of data frameworks and standards like SQL, Apache Spark, LanceDB
Experience with GPU acceleration and CUDA programming
Strong programming skills in Python and a high-performance language such as C++ for efficient system development

Responsibilities

Design and maintain large-scale distributed data ETL and data management systems to support multi-modal foundation models for robotics
Optimize GPU and cluster utilization for efficient model training and fine-tuning on massive datasets
Implement scalable data loaders and preprocessors tailored for multimodal datasets, including videos, text, and sensor data
Develop robust observability tools and procedures for this data infrastructure to ensure reliability and performance
Collaborate with researchers to integrate cutting-edge data technologies into scalable training and eval pipelines

Skills

PyTorch

JAX

TensorFlow

Kubernetes

Ray

SQL

Apache Spark

LanceDB

CUDA

Python

C++

ETL

MLOps

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.

Land your dream remote job 3x faster with AI

Try Jobo Free