4 Scale AI jobs in the United States

Modern data centers are transforming into AI factories, and NVIDIA accelerated computing is the engine of artificial intelligence. Our data center platforms integrate CPUs, GPUs, DPUs, networking, and a full-stack software ecosystem to power AI at scale. We are looking for a Senior Technical Marketing Engineer to join our growing accelerated computing product team. This role is pivotal in defining and articulating the technical foundation of NVIDIA’s products, features, and advantages to enable other teams and ensure a consistent, high-impact go-to-market strategy.

This role will focus on AI inference at scale, ensuring that customers and partners understand how to best leverage the potential of NVIDIA’s accelerated computing solutions. You will collaborate closely with engineering, product teams, field teams, and ecosystem partners to develop compelling technical narratives, competitive positioning, and technical content that drives adoption.

What You’ll Be Doing:

• Develop Technical Positioning & Messaging – Translate NVIDIA’s AI inference and accelerated computing technologies into clear, impactful messaging that resonates with hyperscale data centers and enterprise AI customers.

• Build Foundational Content – Develop whitepapers, technical blogs, solution briefs, presentations, explainer videos, and demos that highlight NVIDIA’s AI inference capabilities.

• Engage with Engineering & Product Teams – Work closely with internal teams to deeply understand product features, roadmaps, and competitive differentiators.

• Conduct Competitive Analysis – Analyze competitors' hardware and software solutions, using data and customer feedback to inform NVIDIA’s positioning.

• Support Sales & Partner Enablement – Develop training materials, sales enablement tools, and technical content to empower internal teams, partners, and customers.

• Lead Go-To-Market Execution – Partner with campaign marketing, field operations, and partner marketing to ensure seamless product launches and market adoption.

• Improve NVIDIA’s AI Thought Leadership – Contribute to industry-firsts, customer success stories, analyst briefings, and high-visibility speaking engagements.

What We Need to See:

• A BS Degree in Computer Science or Engineering related field with a Masters in Business Administration or equivalent experience in a Product Marketing role

• 7+ years of experience in product marketing, technical marketing, or customer-facing engineering roles. Must be passionate about AI/ML workloads at scale.

• Technical Expertise – Deep understanding of modern data center architectures, accelerated computing, distributed inference, deep learning frameworks (PyTorch, TensorFlow, JAX), and inference-specific frameworks & optimizations (Triton Inference Server, TensorRT-LLM, vLLM, SGLang).

• Market Awareness – Experience conducting technical competitive analysis and synthesizing key insights.

• Collaboration & Influence – Proven ability to work cross-functionally across engineering, product management, sales, and marketing teams.

• Strong Communication & Storytelling – Ability to translate sophisticated technical concepts into clear, compelling narratives for both technical and business audiences.

Ways to Stand Out from the crowd:

• Experience working with hyperscale cloud providers or large-scale AI deployments.

• Hands-on experience with AI inferencing workflows using NVIDIA or open-source serving frameworks running on accelerated computing in the data center.

• Hands-on Technical Competence – Background in software development, cloud AI infrastructure, and technical writing is a plus.

• Demonstrated ability to engage with executive leadership and external partners.

• Published technical content or speaking experience at industry events.

NVIDIA is widely considered to be one of high technology's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Our goal is to craft an environment where you can do your life's best work. If you're creative, self-motivated, and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 160,000 USD - 253,000 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.

You will also be eligible for equity and benefits ( .

Applications for this job will be accepted at least until July 29, 2025.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

At d-Matrix , we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible.Our culture is one of respect and collaboration.

We value humility and believe in direct communication.Our team is inclusive , and our differing perspectives allow for better solutions.We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together , we can help shape the endless possibilities of AI.

Location:

Hybrid, working onsite at our Santa Clara, Ca Headquarters 3 days per week.

The role: Senior Director, AI Server Platforms & Rack-scale Solutions Engineering

What you will do:

d-Matrix is looking for a Hardware Platform Engineering leader to develop world-class products around d-Matrix inference accelerators. In this role you will be engaged with key customers and internal teams, and other key internal and external stakeholders to drive overall system solutions. This requires technically analyzing, defining outside-in usage cases, and use broad spectrum of technologies to drive a AI server and rack-scale solutions to deliver the best customer experiences with d-Matrix inference accelerators.

• Work closely with Datacenter, OEM and ODM customers at early stage of product concept and planning phase, to enable the server, rack and cluster design/development with partners and industrial ecosystem.

• Work closely with team members across engineering, product and OEM/SI partners to qualify, validate and optimize server, rack and cluster solutions

• Contribute to the future generations of products and solutions with inputs on system architecture and technology through the early engagement with customers and industry ecosystem partners.

What you will bring:

• 15 + Years of Industry Experience and Engineering degree in Electrical Engineering, Computer Engineering, or Computer Science with extensive experience.

• 5+ years of AI Server experience by working on multiple projects from development, design including memory, I/O, power delivery, power management, boot process, FW and BMC/hardware management through bring-up and validation and supported through the release to production.

• 5+ years of experience in a customer-facing role interfacing with OEMs, ODMs and CSPs.

• Deep understanding of datacenter AI hardware infrastructure requirements and GPU server/rack/cluster level solutions

• Detailed understanding of server industry standard busses, such as DDR, PCIe, and other high-speed IO protocol is required.

• Ability to work seamlessly across engineering disciplines and geographies to deliver excellent results.

• Outstanding communication and presentation skills

#LI-DL1

Equal Opportunity Employment Policy

d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. Were committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.

d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.

• Manage Online Software Development project activities for multiple projects across all project phases, including initiation, planning, execution, monitoring, control and closure.
• Work collaboratively with development team, lead architect and the management to determine technical direction and approach to system design and implementation, including both brand products and supporting systems.
• Create, manage and track project vehicles, including, but not limited to:
• Project schedules
• Detailed project plans
• Project scope statements
• Cost estimates
• Resource plans
• Risk and issues logs
• Status reports for upper management
• Tailor project management, development and support processes to meet the needs of individual (new and/or ongoing) projects.
• Manage the day-to-day activities of projects and staff; communicate with project teams as necessary to ensure project deliverables are on schedule and within cost parameters.
• Communicate and collaborate with internal and external customers as needed in regards to project deliverables including managing expectations, presenting and interfacing with sponsors.
• Make decisions and communicate trade-offs and risks; drive key decisions across projects.
• Make recommendations to management about schedules, prioritization and resource allocation with input from team members.
• Provide ongoing project plan/status reporting for use by