Senior Applied Machine Learning Engineer @ NVIDIA | Jobright.ai
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NVIDIA · 3 weeks ago

Senior Applied Machine Learning Engineer

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Artificial Intelligence (AI)GPU
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Growth Opportunities

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Responsibilities

Development of new generation of Compound AI Systems platform with reasoning capabilities that supports working across multiple modalities including but not limited to images, videos, audio, and text.
Development of distributed cloud applications, microservices and MLOps platforms able to scale up to huge models
Creating microservices for task-specific AI cloud services
Implementing core infrastructure for cloud-native AI training and inference
Relentlessly pursue speed of light performance under high load

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

PythonGolangMicroservicesCloud-Native ApplicationsHTTP RESTGRPCProtobufJSONKubernetesHelm ChartsKustomizeK8s OperatorPerformance AnalysisSecurity AnalysisReliability AnalysisSoftware DesignDebuggingTest DesignMachine LearningStatistical ModelsPyTorchTensorflowONNX RuntimeTensorRTDeep LearningMegatron CoreNeMoHuggingFace AccelerateHuggingFace TransformersDeepSpeed

Required

BS, Masters, or equivalent experience in computer science, computer architecture, or related field
5+ years of experience
Exceptional coding skills, striving for creating high-quality software
Ability to work independently, define project goals and scope, interact directly with open-source community, and manage your own development effort
Experience implementing microservices and cloud-native applications using HTTP REST, gRPC, protobuf, JSON and related technologies
Experience deploying application on Kubernetes platform, familiarity with helm charts, kustomize, k8s operator
Understanding of performance, security, and reliability in complex distributed infrastructure
Excellent Python or Golang programming and software design skills, including debugging, performance and service health analysis, and test design

Preferred

Experience deploying machine learning or statistical models into production environments, especially experience with frameworks such as PyTorch, Tensorflow, ONNX Runtime, and TensorRT
Background with deep learning frameworks such as Megatron Core, NeMo, HuggingFace Accelerate, HuggingFace Transformers, DeepSpeed, and similar
Experience with MLOps orchestration platforms such as Seldon Core, Kserve, BentoML and similar
Experience with inference engines such as VLLM, TensorRT-LLM and similar
Knowledge of or experience with developing production NLP systems as well as experience working with high availability environments

Benefits

Equity

Company

NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.

H1B Sponsorship

NVIDIA has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (735)
2022 (892)
2021 (696)
2020 (534)

Funding

Current Stage
Public Company
Total Funding
$4.09B
Key Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2017-05-24Post Ipo Equity· $4B

Leadership Team

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Chris Malachowsky
Co-Founder, SVP
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Michael Kagan
Chief Technology Officer
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Company data provided by crunchbase
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