NVIDIA

Senior Data Backend Engineer

Washington, United States

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Data Engineering, Deep Learning, Autonomous VehiclesIndustries

Senior Software Engineer, AI Data Engineering

Position Overview

NVIDIA is a global leader in high-speed computer vision, artificial intelligence (AI), and deep learning. Our team develops data engineering solutions that empower AI developers in autonomous vehicle (AV) domains to innovate quickly and effectively at scale. We are seeking an exceptional individual to take on a senior technical role in building high-performance AI data pipelines. This role involves designing and optimizing microservices and data pipelines to process massive volumes of AV data, enabling seamless data mining and AI training. The ideal candidate will possess expertise in big data processing and distributed computing to create efficient solutions and overarching architectures for challenges such as video data curation, behavioral search, and AI dataset management.

What you'll be doing

  • Scope and build tools, microservices, workflows, and distributed applications to accelerate data mining and AI training.
  • Design and implement solutions for streaming, resilience, logging, security, authentication, workflow orchestration, and data management.
  • Deploy AI models.
  • Design and develop Retrieval-Augmented Generation (RAG) workflows enabling hybrid and agentic patterns.
  • Analyze and operationalize complex distributed systems for speed-of-light performance.

What we need to see

  • Master’s degree in Computer Science | Electrical Engineering (or equivalent experience).
  • 8+ years of experience developing high-performance, scalable software systems.
  • Strong programming skills in Python or Golang.
  • Proficiency in key technologies like Kubernetes, Helm, Hive, Parquet, SQL, vector databases (e.g., Milvus).
  • Strong architectural skills with a proactive, problem-solving mentality.
  • Experience in data mining | AI development.
  • Experience building ETL pipelines and working with big data engines.
  • Exceptional collaboration skills to work with system software and AI expert teams.
  • Eagerness to learn and adopt new technologies such as NVIDIA RAPIDS.

Ways to Stand Out from the Crowd

  • Prior experience with large-scale real-time streaming, augmented reality, or data curation.
  • Prior background with Spark.
  • Exposure to the latest advances in AI, including Large Language Models, Vision-Language Models, and Retrieval-Augmented Generation (RAGs).
  • Innovative results, including patents, publications, or open source contributions.

Compensation and Benefits

  • Salary Range: The base salary range is $184,000 - $287,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
  • Additional Compensation: You will also be eligible for equity and benefits.

Company Information

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA accepts applications on an ongoing basis.

Employment Type

  • Full time

Location Type

  • [Location Type not specified]

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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