Senior Solutions Architect - AI Infrastructure Engineer

Massachusetts, United States

Apply with AI Apply

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Information Technology, Research & DevelopmentIndustries

Requirements

Candidates should possess a Bachelor’s degree in Engineering, Mathematics, Physical Sciences, or Computer Science, or equivalent experience, along with 8+ years of relevant work experience. Strong experience in designing and deploying GPU-accelerated computing infrastructure is required, as is in-depth knowledge of cluster orchestration and job scheduling technologies such as Slurm, Kubernetes, Ansible, and/or Open OnDemand. Expertise in systems monitoring, telemetry, and systems performance optimization of research computing environments, including familiarity with tools like Prometheus, Grafana, and NVIDIA DCGM, is also necessary. Understanding of datacenter networking technologies (InfiniBand, Ethernet, OFED) and experience with network configuration is required, along with familiarity with power and cooling systems architecture for data center infrastructure.

Responsibilities

The Senior Solutions Architect will collaborate as a key technical advisor for the design, build-out, and optimization of university-level research computing infrastructures, supporting GPU-accelerated scientific workflows. They will work with university research computing to optimize hardware utilization with software orchestration tools and implement systems monitoring and management tools. The role involves documenting learnings through targeted training, whitepapers, blogs, and wiki articles, and collaborating with researchers to gather feature requests and product feedback. Additionally, the architect will deploy and evaluate cluster performance using benchmarks like MLPerf and/or HPL, and deliver technical training, workshops, or mentoring on HPC/AI systems.

Skills

GPU-accelerated computing

High-performance computing (HPC)

Research computing clusters

Kubernetes

Slurm

Jupyter notebooks

System monitoring and management

Hardware utilization optimization

Software orchestration

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

Try Jobo Free