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AI Systems Solutions Architect

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: AI Systems Solutions Architect

What you will do:

d-Matrix is looking for a AI System Solutions Architect to develop world-class products around d-Matrix inference accelerators. In this role you will be engaged with key customers and internal architects, 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 system solution spanning silicon, platform HW/SW, and usages to deliver the best customer experiences with d-Matrix inference accelerators.      

  • Design, develop, and deploy scalable GenAI inference solutions with d-Matrix accelerators

  • Work closely with team members across architecture, engineering, product management and business developments to optimize the d-Matrix system solutions for best performance & power balance, feature set and overall system cost.

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

  • Influence and shape the future generations of products and solutions by contributing to the system architecture and technology through the early engagement cycle with customers and industrial partners.

  • Stay abreast of the latest advancements in GenAI hardware and software technologies and assess their suitability for integration into d-Matrix GenAI inference solutions.

  • Establish credibility with both engineering and leadership counterparts at top technology companies, communicate technical results and positions clearly and accurately, and drive alignment on solutions.

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 System experience by working on multiple projects from architecture, 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.

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

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

  • Deep understanding of datacenter AI infrastructure requirements and challenge

Preferred:

  • Hands-on understanding of AI/ML infrastructure and hardware accelerators

  • Experience with leading AI/ML frameworks such as PyTorch, TensorFlow, ONNX, etc. and container orchestration platforms such as Kubernetes

  • 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. We’re 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.

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Average salary estimate

$175000 / YEARLY (est.)
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What You Should Know About AI Systems Solutions Architect, d-Matrix

Are you an innovative thinker ready to dive into the exciting world of AI? As an AI Systems Solutions Architect at d-Matrix, based in Santa Clara, CA, you'll play a critical role in shaping the future of generative AI technologies. At d-Matrix, we pride ourselves on pushing the boundaries of software and hardware innovation, carving out new paths and possibilities in the realm of AI. In this role, you will help develop world-class products using our cutting-edge inference accelerators while collaborating with a diverse and inclusive team. Your responsibilities will include designing and deploying scalable GenAI inference solutions, working closely with customers and internal stakeholders to optimize system performance and cost. As you influence future product generations, you will need to stay on top of the latest advancements in AI technologies. If you're ready to face challenges head-on, communicate your ideas effectively, and drive exciting solutions to fruition, we want to hear from you! Enjoy a hybrid work environment where you'll be onsite at our Santa Clara headquarters three days a week, collaborating with your fellow AI enthusiasts.

Frequently Asked Questions (FAQs) for AI Systems Solutions Architect Role at d-Matrix
What are the main responsibilities of the AI Systems Solutions Architect at d-Matrix?

The AI Systems Solutions Architect at d-Matrix will design, develop, and deploy scalable GenAI inference solutions, working closely with a range of stakeholders, including customers and internal teams. This role demands a balance of technical skills and customer engagement to ensure optimal performance and cost-effectiveness.

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What qualifications are needed for the AI Systems Solutions Architect position at d-Matrix?

To qualify for the AI Systems Solutions Architect role at d-Matrix, candidates should have 15+ years of industry experience with an Engineering degree in Electrical Engineering, Computer Engineering, or Computer Science. Additional requirements include over five years of AI Server System experience and a strong customer-facing background.

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How does the AI Systems Solutions Architect contribute to d-Matrix's products?

In this position, the AI Systems Solutions Architect will influence the architecture and technology of future generations of d-Matrix products by engaging directly with customers and partners during the product concept phase to ensure that their insights are integrated into the design.

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What technologies should I be familiar with for the AI Systems Solutions Architect role at d-Matrix?

A strong understanding of AI/ML frameworks like PyTorch, TensorFlow, and ONNX, as well as familiarity with container orchestration platforms like Kubernetes, is beneficial. Additionally, knowledge of server industry standard busses such as DDR, PCIe, and CXL is essential.

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What is the work environment like for an AI Systems Solutions Architect at d-Matrix?

The work environment for an AI Systems Solutions Architect at d-Matrix is hybrid, with three days a week in the office at our headquarters in Santa Clara. This setup fosters collaboration with team members while allowing some flexibility that many employees appreciate.

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Common Interview Questions for AI Systems Solutions Architect
Can you describe your experience with AI server system architecture?

When answering this question, provide specific examples of your previous roles where you have designed or developed AI server systems. Highlight the projects, technologies used, and the impact of your contributions to those systems.

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How do you approach optimizing performance in system solutions?

Explain your systematic approach to performance optimization, detailing factors such as workload analysis, resource management, and how you coordinate with different teams to achieve balanced solutions.

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What challenges have you faced while working with datacenter AI infrastructure?

Discuss a specific challenge you encountered, ensuring you emphasize how you overcame it. Share the lessons learned and how this challenge has shaped your problem-solving strategy.

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How do you ensure effective communication with stakeholders?

Describe your communication style and methods you employ to keep stakeholders updated. Illustrate your technique with an example of a successful project where you aligned all parties involved.

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What is your familiarity with high-speed I/O protocols like PCIe and CXL?

Provide your knowledge of these I/O protocols by discussing relevant experiences. If possible, share project examples demonstrating your hands-on experience with these technologies.

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How do you stay updated on the latest advancements in AI hardware and software?

Talk about the resources you utilize to keep abreast of industry advancements like journals, professional organizations, online courses, and conferences. Share specific topics you’ve recently explored.

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Can you describe a project where you influenced a product’s technology direction?

Detail a project where your input directly affected the technology or architecture of a product. Highlight your role, the outcome, and any recognition you received for your contributions.

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How do you balance cost and performance in AI system design?

Explain your strategies for cost-performance trade-offs during the design process, using specific examples to showcase how you manage to achieve the best customer experience while keeping costs in check.

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What methodologies do you use when working with cross-disciplinary teams?

Discuss your preferred methodologies such as Agile or Lean, and share how you've applied them in a cross-disciplinary context, reflecting on the results achieved.

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In what ways do you provide mentorship to junior engineers?

Share your mentoring approach, detailing any formal or informal programs you've led or participated in. Provide examples of how you've helped junior engineers grow in their careers.

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EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
January 6, 2025

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