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Deep Learning Performance Architect Jobs Near Me

AI Solutions Architect

Columbus, OH · On-site

$60.75 - $80.25/hr

... deep learning, or generative artificial intelligence solutions in production environments ... performance. #HCFY27 #IIOFY27 Qualifications: The Human Capital Offering Portfolio focuses on ...

AI Architect

Westerville, OH

$60.75 - $80/hr

Evaluate Large Language Models and systems for optimal performance, scalability, and efficiency ... deep learning, etc. * Experience in deploying and monitoring artificial intelligence solutions on ...

AI Architect

Westerville, OH · On-site

$60.75 - $80/hr

Evaluate Large Language Models and systems for optimal performance, scalability, and efficiency ... deep learning, etc. * Experience in deploying and monitoring artificial intelligence solutions on ...

AI Architect

Westerville, OH · On-site

$60.75 - $80/hr

... performance, precision, and scalability. • Oversee the fine-tuning and deployment of Large ... vision, speech recognition, deep learning, etc. • Experience in deploying and monitoring ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... model performance beyond accuracy. Adapts instruction using Python with scikit-learn, Jupyter ...

Architect AI and machine learning solutions using Oracle Cloud Infrastructure, Oracle AI Services ... performance requirements that support enterprise AI use cases Develop technical documentation ...

Google Cloud (AGBG) Sales Architect

Columbus, OH · On-site

$60.75 - $77.25/hr

... learning and talent development expertise; deep experience in cloud change management; and cloud ... Architect and design cutting-edge solutions on GCP that are directly tied to achieving tangible ...

Lead Security Architect

Hilliard, OH · On-site

$52.25 - $71.50/hr

... learning begins. In crisis and in celebration, we come together - lifting our communities and ... Deep expertise in Next-Gen Firewalls (NGFW), proxies, VPNs, and IAM, specifically regarding ...

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Deep Learning Performance Architect information

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$156.5K

$168K

How much do deep learning performance architect jobs pay per year?

As of Jun 26, 2026, the average yearly pay for deep learning performance architect in the United States is $167,842.00, according to ZipRecruiter salary data. Most workers in this role earn between $167,000.00 and $167,000.00 per year, depending on experience, location, and employer.
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A map of the United States highlighting the number of Deep Learning Performance Architect job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Deep Learning Performance Architect job openings in each state, with California having the most at 2 and Hawaii the least at 0.

Solutions Architect, AI Factory Infrastructure DevOps

NVIDIA AI

Ashley, OH • On-site

Full-time

Posted 10 days ago


Job description

Job Summary:
NVIDIA AI is at the forefront of the AI computing revolution, building innovative deep learning solutions that reshape industries worldwide. They are seeking a Solutions Architect to join their AI Factory infrastructure deployment team, where the role involves architecting and scaling high-performance AI infrastructure and supporting sales efforts with technical expertise. The position requires strong customer interaction skills and a focus on deep learning inference support.
Responsibilities:
• Help architect and scale high-performance, distributed AI infrastructure on-prem or in the cloud, built with the latest NVIDIA GPU supercomputers for new and existing customers.
• Be a technical specialist on GPU and networking products, directly supporting sales account managers to secure build wins.
• Actively establish and nurture technical relationships with engineers, management, and architects at key customer accounts.
• Identify customer architectures and key product requirements in the CSP/OEM AI market to efficiently implement NVIDIA's solutions.
• Provide on-site support to solve hardware and software problems, with a focus on deep learning inference.
• Lead the product through its entire lifecycle, from design-in to end-of-life, ensuring detailed execution and customer satisfaction.
• Actively maintain the NVIDIA side of infrastructure components and collect findings at the customer site.
• Offer technical and sales training to direct sales teams and channel partners.
• The expected travel requirement is approximately 25-30%.
Qualifications:
Required:
• BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or equivalent experience).
• 5+ years of work-related experience in high-tech IT companies with experience in NCP, CSP, site reliability, and virtualization technologies (VMware, Linux KVM).
• 4+ years of working experience with Kubernetes, Slurm, Docker, etc.
• Proficiency with AI tools (Claud, Codex, Perplexity, etc.), Redfish, Grafana, and Prometheus.
• Remarkable talent for effectively handling multiple initiatives and priorities.
• Strong time-management and social skills for coordinating complex projects.
• Excellent written and oral communication skills in English, with the ability to collaborate effectively with both management and engineering teams.
Preferred:
• This role requires hands-on experience and extensive ability to solve problems within the customer infrastructure.
• Kubernetes (K8S) is an infrastructure-orchestration software platform (NVIDIA Mission Control).
• Practical knowledge of NVIDIA systems technology, such as DGX, GB200, and HGX systems, is a huge plus.
• Experience working with OEMs in industrial, military, and ruggedized computing spaces.
Company:
Explore the latest breakthroughs made possible with AI. Founded in , the company is headquartered in Santa Clara, CA, US, , with a team of 10001+ employees. The company is currently Late Stage.