NVIDIA Corporation

Senior Data Backend Engineer

NVIDIA Corporation$184K — $356K *
US-AnywhereRemote in Hillsboro, OR
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • MS in Computer Science/Engineering with 6+ years of experience or BS with 8+ years of relevant experience.
  • Strong programming skills in Python or Golang.
  • Proficiency with Kubernetes, Helm, Hive, Parquet, SQL, and vector databases like Milvus.
  • Experience in developing high-performance, scalable software systems.
  • Knowledge of ETL pipelines and big data engines.
  • Strong architectural skills with a proactive, problem-solving mentality.
  • Exceptional collaboration skills with system software and AI expert teams.

Responsibilities

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

Benefits

  • Equity participation in company growth.
  • Opportunities for professional development and learning new technologies.
  • Supportive teamwork environment with collaboration across expert domains.
  • Access to advanced AI tools and technologies, including NVIDIA RAPIDS.
Full Job Description
Our team develops data engineering solutions that empower AI developers in autonomous vehicle (AV) domains to innovate quickly and effectively at scale. Are you ready to take on a senior technical role in building high-performance AI data pipelines? We seek an exceptional individual to design and optimize microservices and data pipelines to process massive volumes of AV data and enable seamless data mining and AI training. The ideal candidate will bring 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:
  • Experience developing high-performance, scalable software systems.
  • MS with 6+ years, or BS (or equivalent experience) with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field.
  • 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.


Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 3, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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