NVIDIA

Solution Architect, Energy

Germany

Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
EnergyIndustries

Requirements

Candidates should possess an MS/PhD in Computer Science, Engineering, Computational Science/Physics, or a related technical field, along with 5+ years of experience in AI, ML, DL, and/or Generative AI. They should also have 5+ years of industrial experience in power systems, solid skills in PyTorch, familiarity with containers and numerical libraries, and experience using HPC systems and GPUs.

Responsibilities

The Solution Architect will work on technical projects with industry and public sector organizations, supporting the power industry business development and sales team, and communicating with product and engineering to build solutions aligned with customer requirements. They will also support the development of power generation and distribution use-cases, keep learning about HPC and AI innovations, and educate customers on using NVIDIA GPUs and platforms.

Skills

AI
ML
DL
Generative AI
PyTorch
Containers
Numerical libraries
Modular software design
HPC systems
GPUs
Scientific/engineering simulations
Power systems
Reservoir modeling
Smart grids
Renewables
Nuclear energy
Communication skills
Collaboration

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.

Land your dream remote job 3x faster with AI