[Remote] Deep Learning Engineer, LLM Accuracy Evaluation at NVIDIA

Poland

Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Computer Hardware, Software DevelopmentIndustries

Skills

Key technologies and capabilities for this role

Deep LearningLLMRAGAgentsVision ModelsGemmaLlama-3NVIDIA Inference Microservices (NIM)GPUNatural Language Processing (NLP)Problem-solvingDebuggingPerformance AnalysisTest DesignDocumentationAI/DL AlgorithmsMathematical Foundations

Questions & Answers

Common questions about this position

What experience level is required for this Deep Learning Engineer role?

The role requires 10+ years of hands-on experience in AI for natural language processing (NLP) and large language models (LLMs), along with a BS, MS, or PhD in Computer Science, AI, Applied Math, or a related field.

What are the key skills needed for this position?

Candidates need strong problem-solving, debugging, performance analysis, test design, and documentation skills, solid mathematical foundations, expertise in AI/DL algorithms, and excellent written and verbal communication skills.

What is the salary or compensation for this role?

This information is not specified in the job description.

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

This information is not specified in the job description.

What experiences help candidates stand out for this role?

Stand out with experience in accuracy evaluation of LLMs (like OpenLLM Leaderboard or HELM), hands-on work with inference environments like TensorRT, ONNX, or Triton, passion for DevOps/MLOps, large-scale HPC workloads, and strong Linux/Docker knowledge.

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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