Manager, LLM Accuracy Evaluation at NVIDIA

Zurich, Zurich, Switzerland

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

AI, TechnologyIndustries

Requirements

BS, MS, or PhD in Computer Science, AI, Applied Math, or related field, or equivalent experience, with 7+ years of industry experience, including 3+ years in leadership
Proven success leading engineering teams and delivering complex AI/deep learning projects
Deep understanding of modern AI technologies—LLMs, multimodal models, retrieval-augmented generation, and agent frameworks—with the ability to guide technical strategy
Outstanding communication skills and the ability to partner effectively across organizations and with external collaborators
Demonstrated ability to mentor and grow engineering talent, fostering collaboration and technical excellence

Responsibilities

Lead and mentor a team of highly skilled engineers, fostering their growth while solving the most ambitious challenges in AI evaluation
Drive the accuracy evaluation of flagship AI models, coordinating efforts across internal teams and external partners to ensure timely, high-quality results
Collaborate with stakeholders across NVIDIA to balance speed of delivery with rigorous engineering practices
Develop and implement new methodologies for evaluating LLMs, multimodal systems, and agent frameworks at scale
Build a culture of innovation and excellence, encouraging continuous improvement and adoption of best practices in AI evaluation and deployment

Skills

LLMs

RAG

AI Agents

Vision Models

Deep Learning

Multimodal Models

GPU Clusters

Inference Optimization

AI Evaluation

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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