Solution Architect, Financial Services at NVIDIA

Cambridge, England, United Kingdom

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, TechnologyIndustries

Requirements

BS/MS/PhD degree in Machine Learning, Computer Science, or related technical field
Minimum of 5 years of experience in AI and accelerated technologies
Background working within Financial Services firms
Expertise in writing code for training and/or inference for NVIDIA GPUs
Capable of working in a constantly evolving environment without losing focus
Self-starter with a passion for continuous learning and sharing findings across the team
Ways to stand out
Demonstrated understanding of how GPU acceleration can be applied to financial workloads
Knowledge of software-defined infrastructure and orchestration tools (Kubernetes, OpenStack)
Proficiency in cloud platforms (AWS, Azure, Google Cloud) and hybrid cloud solutions
Understanding of HPC systems: data center design, high speed interconnect InfiniBand, Cluster Storage and Scheduling related design and/or management experience

Responsibilities

Work with financial institutions and their technology ecosystem in leveraging NVIDIA's advanced technologies
Provide technical guidance and support to internal teams and external stakeholders, ensuring effective ideation, research and developing solution prototypes, followed by a successful deployment
Work closely with product management, engineering, applied research and sales teams to develop and deliver comprehensive solutions
Stay updated on industry trends and advancements in hardware technologies to continually improve and innovate NVIDIA's software and data center solutions

Skills

Key technologies and capabilities for this role

Machine LearningComputer ScienceNVIDIA GPUsAIGPU TrainingGPU InferenceAccelerated Computing

Questions & Answers

Common questions about this position

What education and experience are required for the Solution Architect role?

A BS/MS/PhD degree in Machine Learning, Computer Science, or related technical field is required, along with a minimum of 5 years of experience in AI and accelerated technologies, and background working within Financial Services firms.

What key skills make someone stand out for this position?

Ways to stand out include demonstrated understanding of GPU acceleration for financial workloads, knowledge of software-defined infrastructure like Kubernetes and OpenStack, proficiency in cloud platforms such as AWS, Azure, and Google Cloud, and experience with HPC systems including InfiniBand and cluster storage.

What is the salary or compensation for this role?

This information is not specified in the job description.

Is this position remote or does it require office work?

This information is not specified in the job description.

What qualities does NVIDIA look for in strong candidates?

NVIDIA seeks self-starters with expertise in writing code for NVIDIA GPUs, the ability to work in a constantly evolving environment, a passion for continuous learning, and a creative mindset with genuine passion for AI in finance and accelerated computing; they encourage applications even if candidates lack some qualifications.

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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