Distinguished Engineer – Integrated Data Center Systems Architecture

California, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Biotechnology, Semiconductors, Data Center InfrastructureIndustries

Requirements

Candidates must possess a Master's or Bachelor's degree in Computer Science, Electrical Engineering, or Computer Engineering, or have equivalent experience. A minimum of 15 years of experience as a senior technical individual contributor in mechanical, electrical, or automation systems is required, along with significant experience in partner-driven engineering development with AEC, MEP, and energy infrastructure stakeholders. Expertise in AI applications for infrastructure and data center ecosystems, and outstanding ability to align multi-disciplinary systems across diverse collaborator groups are essential. Excellent communication, facilitation, and critical thinking skills are also necessary.

Responsibilities

The Distinguished Engineer will provide technical leadership for mechanical and electrical system designs in coordination with product requirements. They will be responsible for the strategic development and oversight of harmonized mechanical, electrical, and automation systems for AI-enabled data centers. This role involves collaborating with AEC and MEP partners to align development priorities, technical standards, and integrated engineering solutions, as well as advancing engineering environments for development, testing, and validation. The engineer will provide strategic direction and integration oversight for energy generation initiatives, collaborate with Technical Program Management (TPM) programs, and offer deep technical guidance to partner engineering teams. Responsibilities also include facilitating teamwork across various groups to accelerate innovation and integration, participating in site selection reviews, and anticipating new technologies and market shifts for long-term strategy.

Skills

Mechanical Systems

Electrical Systems

Automation

Data Center Infrastructure

Systems Integration

AEC

MEP

Energy Generation

Project Management

Technical Leadership

Cross-Functional Collaboration

Testing & Validation

Engineering Environments setup

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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