Senior Deep Learning Engineer at NVIDIA

Warsaw, Woj. Mazowieckie, Poland

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Autonomous Vehicles, RoboticsIndustries

Requirements

5+ years of experience
MSc or PhD in CS, EE, or CSEE or equivalent experience
Strong background in Deep Learning
Strong programming skills in Python and PyTorch
Experience with inference optimization techniques (such as quantization) and inference optimization frameworks, one of: TensorRT, TensorRT-LLM, vLLM, SGLang

Responsibilities

Improve inference speed for Cosmos WFMs on GPU platforms
Effectively carry out the production deployment of Cosmos WFMs
Profile and analyze deep learning workloads to identify and remove bottlenecks

Skills

Key technologies and capabilities for this role

PythonPyTorchDeep LearningTensorRTTensorRT-LLMvLLMSGLangCUDADockerTriton Inference Serverquantizationdiffusion modelsGPU optimization

Questions & Answers

Common questions about this position

What experience level is required for the Senior Deep Learning Engineer role?

The role requires 5+ years of experience, along with an MSc or PhD in CS, EE, or CSEE or equivalent experience.

What are the key technical skills needed for this position?

Candidates need a strong background in Deep Learning, strong programming skills in Python and PyTorch, and experience with inference optimization techniques such as quantization and frameworks like TensorRT, TensorRT-LLM, vLLM, or SGLang.

Is this a remote position or does it require office work?

This is a hybrid role.

What skills will help me stand out as a candidate?

Familiarity with deploying Deep Learning models in production using Docker or Triton Inference Server, CUDA programming experience, familiarity with diffusion models, and proven experience in analyzing, modeling, and tuning GPU workloads for inference and training will make you stand out.

What does the team structure look like for this role?

You'll work closely with research scientists, software engineers, and hardware experts.

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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