Senior Data Backend Engineer

Washington, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Data Engineering, Deep Learning, Autonomous VehiclesIndustries

Requirements

Candidates should possess a Master’s degree in Computer Science or Electrical Engineering, or an equivalent experience, and have a minimum of 8 years of experience developing high-performance, scalable software systems. Strong programming skills in Python or Golang are required, along with proficiency in key technologies such as Kubernetes, Helm, Hive, Parquet, SQL, and vector databases like Milvus. Experience in data mining, AI development, and building ETL pipelines with big data engines is also necessary.

Responsibilities

The Senior Data Backend Engineer will scope and build tools, microservices, workflows, and distributed applications to accelerate data mining and AI training, designing and implementing solutions for streaming, resilience, logging, security, authentication, workflow orchestration, and data management. They will deploy AI models, design and develop Retrieval-Augmented Generation (RAG) workflows, analyze and operationalize complex distributed systems, and collaborate with system software and AI expert teams to ensure speed-of-light performance.

Skills

Python

Golang

Kubernetes

Helm

Hive

Parquet

SQL

vector databases

Milvus

ETL pipelines

big data engines

distributed systems

AI development

data mining

workflow orchestration

NVIDIA RAPIDS

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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