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. 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.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.Skills Required
- MS in Computer Science, Computer Engineering, or a related technical field with 6+ years of relevant experience
- BS or equivalent experience in Computer Science, Computer Engineering, or a related technical field with 8+ years of relevant experience
- Strong programming skills in Python or Golang
- Experience developing high-performance, scalable software systems
- Proficiency with Kubernetes, Helm, Hive, Parquet, SQL, and vector databases such as Milvus
- Strong software architecture skills and proactive problem-solving ability
- Experience in data mining and AI development
- Experience building ETL pipelines and working with big data engines
- Ability to collaborate with systems software and AI expert teams
- Willingness to learn and adopt technologies such as NVIDIA RAPIDS
- Experience with large-scale real-time streaming, augmented reality, or data curation
- Experience with Apache Spark
- Exposure to Large Language Models, Vision-Language Models, and Retrieval-Augmented Generation
- Patents, publications, or open-source contributions
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
