[Remote] Deep Learning Solutions Architect – Inference Optimization at NVIDIA

United Kingdom

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, SoftwareIndustries

Requirements

MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields
5+ years of work or research experience with Python/C++ / other software development
Understanding of key libraries used for NLP/LLM training and deployment (e.g., TensorRT-LLM, vLLM, Triton Inference Server)
Excellent verbal, written, and technical presentation skills in English

Responsibilities

Work directly with key customers to understand their technology and provide the best AI solutions
Perform in-depth analysis and optimization to ensure the best performance on GPU architecture systems
Partner with Engineering, Product, and Sales teams to develop and plan best suitable solutions for customers
Enable development and growth of product features through customer feedback and proof-of-concept evaluations
Work on proof-of-concept demonstrations
Drive relationships with key executives and managers to promote adoption of NVIDIA based AI technology
Engage with developers, scientific researchers, data scientists, IT managers and senior leaders

Skills

Key technologies and capabilities for this role

Deep LearningInference OptimizationTRT LLMvLLMSGLangSystems KnowledgeKV Cache OffloadingHybrid ModelsDiffusion ModelsPre-processing PipelinesPost-processing PipelinesArtificial IntelligenceTechnical ExpertiseRelationship Management

Questions & Answers

Common questions about this position

What education and experience are required for this role?

Candidates need an MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields, plus 5+ years of work or research experience with Python/C++/other software development.

What technical skills are essential for the Deep Learning Solutions Architect position?

Proficiency in tools like TRT LLM, vLLM, SGLang or similar is required, along with strong systems knowledge, experience with neural network inference techniques such as speculative decoding, request scheduler optimizations, FP4 quantization, and understanding of modern NLP including transformer, state space, diffusion, MOE model architectures.

What soft skills are needed for this Solutions Architect role?

Excellent verbal, written communication, and technical presentation skills in English are required.

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

This information is not specified in the job description.

What is the salary or compensation for this position?

This information is not specified in the job description.

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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