Senior Data Science Engineer at NVIDIA

Tel Aviv-Yafo, TA, Israel

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Networking, AIIndustries

Requirements

B.Sc. or equivalent experience in Computer Science and Engineering
5+ years of hands-on experience in data science
Expert-level proficiency in Python and its data manipulation and analysis libraries (e.g., NumPy, pandas, TensorFlow, PyTorch)
Proven experience in production-level software development, with a portfolio of deploying complex models and systems
Ability to lead technical projects, balance multiple priorities, and meet tight deadlines
Strong background in networking concepts and protocols (significant advantage)
Familiarity with network protocols, hardware, and infrastructure (significant advantage)

Responsibilities

Conduct in-depth analysis of datasets, raise and validate hypotheses, extract significant features, and build, train, and deploy models on top of them
Design and implement high-performance algorithms and data structures applicable to large-scale datasets and distributed processing
Own the optimization and refinement of models to meet production-level performance and accuracy
Collaborate with cross-functional teams to help define and execute the technical strategy for integrating AI-driven monitoring and optimization into networking systems
Build and test prototypes to demonstrate proof-of-concept and present technical findings to stakeholders and team leadership
Analyze technical trade-offs in different solutions and design and implement robust systems for improving the throughput of analytics on large data streams
Lead the technical implementation and integration of data science models into production environments

Skills

Python

NumPy

pandas

TensorFlow

PyTorch

Data Science

Machine Learning

Distributed Processing

Networking Protocols

Model Deployment

Data Analysis

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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