Nvidia
Senior Machine Learning Engineer, Accelerated Apache Spark
US, CA, Santa Clara · Senior
Sponsorship not specifiedDetected 4 days ago
PythonJavaScalaAlgorithmsSQLMachine LearningPyTorchscikit-learnPandasNumPySparkData EngineeringData ScienceLLMsLeadershipMentoring
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Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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Context, not a finding about this posting: of this employer's 399 green-card filings in this occupation, 96% were for a worker who already held the job.
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NVIDIA Corporation obtained a prevailing wage determination for Software Developers in Santa Clara, CALIFORNIA on 2026-06-08. No matching green-card filing appears in our data yet. The determination expires in 0 days (2026-09-05), and a green-card filing must follow before then or the employer starts over.+2 more active determinations on file
Green-card follow-through: 92%
Of 382 labor certifications old enough to have been used, 29 expired without the employer filing the next step. Median time from filing to decision: 497 days.97% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.
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620 transfer filings in the last year, covering 1241 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.
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About the role
- NVIDIA is looking for a Machine Learning Engineer to join the GPU accelerated Apache Spark team.
- Apache Spark is the most popular data processing engine in data centers for running massive scale workloads for ETL, SQL, and ML/DL model training and inference pipelines, spanning many domains and use cases.
- NVIDIA GPUs offer a promising avenue for significantly speeding up and/or lowering the cost of running very large Apache Spark applications.
Responsibilities
- Develop advanced algorithms and adaptive systems to continuously improve the performance of Apache Spark workloads on GPUs.
- Develop AI-based agents and tools to assist with fixing system issues and application optimization.
- Maintain deep domain expertise by knowing the latest published advances in ML systems and algorithms.
- 3+ experience as technical lead in ML model development.
- Strong expertise in feature engineering, feature importance assessment, and developing boosted tree model solutions (e.g., XGBoost).
Requirements
- If you are passionate about what you do, creative and autonomous, we want to hear from you!
Compensation
- Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
- The base salary range is 224,000 USD - 356,500 USD.
Benefits
- Design and implement machine learning solutions for performance prediction and optimization of GPU accelerated enterprise Apache Spark workloads.
- Collaborate with key partners and customers on the deployment of complex machine learning solutions in various environments.
- Provide technical mentorship and leadership in data science and machine learning to a team of engineers.
- BS, MS, or PhD or equivalent experience in Machine Learning, Data Science, Computer Science or a closely related field.
- Proven ability to employ modern tooling and sound techniques for all aspects of crafting, deploying, and maintaining machine learning models.
- Deep experience with sophisticated ML methodologies, including LLM/GenAI, reinforcement learning, and adaptive, on-line ML systems.
Company info
- Ways to stand out from the crowd: Understanding of the internal workings and architecture related to Apache Spark.
Equal opportunity
- NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer.
This listing is sourced directly from Nvidia's careers page and normalized into a canonical job model.