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AI Hardware 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:

Working Hybrid at our Santa Clara Headquarters or in our Seattle office or Remote.

AI Hardware Architect

What You Will Do:

The role requires you to be part of the Hardware Architecture team that defines our next generation AI solution. As part of this team, you will be responsible for design space exploration, workload characterization/mapping and ISA design spanning the data plane as well as control plane in the SoC. You will design, model and drive new architectural features to help design next generation hardware. You will evaluate performance of cutting edge AI workloads. You have had past experience working on performance architecture of AI Accelerators and understand the nuances of what it takes to optimize and trade-off various aspects of hardware-software co-design. You are able to build and scale architectural solutions in a tight development window. You will work with a team of hardware architects to build the architecture from strawman to detailed specification and work closely with other software (ML, Systems, Compiler) and hardware (mixed signal, DSP, CPU) experts in the company.

 

What You Will Bring:

Minimum

  • PhD, Computer Science, Engineering or related degree + 15 or more years of industry experience.

  • Strong grasp of Computer architecture, HW/SW Co-design, digital design, and machine learning fundamentals.

  • Experience with Data parallel architectures and SIMD/Vector extensions.

  • Experience with workload characterization and competitive analysis.

  • Experience with performance modeling, analysis and correlation (w/ RTL) of GPU/AI Accelerator architectures.

  • Proficient in C/C++ or Python development in Linux environment and using standard development tools.

  • Self-motivated team player with a strong sense of ownership and leadership.

Preferred:

  • Prior startup, small team or incubation experience.

  • Work experience at a cloud provider or AI compute / sub-system company.

  • Experience with ISA design and architecture specification.

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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$150000K
$200000K

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What You Should Know About AI Hardware Architect, d-Matrix

At d-Matrix, we're on an exciting journey to revolutionize technology with generative AI, and we're looking for an AI Hardware Architect to join our innovative team in Santa Clara, California! You'll be an integral part of our Hardware Architecture team, diving deep into design space exploration and workload characterization for our cutting-edge AI solutions. If you have a passion for optimizing hardware-software co-design and thrive in a collaborative environment, then this is the role for you! You’ll work closely with a diverse group of engineers, tackling architectural challenges as you help shape the next generation of AI hardware. With a PhD in Computer Science or related fields and at least 15 years in the industry, your expertise in digital design and machine learning fundamentals will be essential. We value your insight and creativity, giving you the freedom to explore new architectural features and enhance performance for AI workloads. Plus, our hybrid work model means you can enjoy the flexibility of working from our Santa Clara headquarters, Seattle office, or even remotely. We believe in a culture of respect, humility, and inclusion, where every team member’s voice is heard. Ready to unleash the potential of AI with us? Join d-Matrix and let's innovate together!

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

As an AI Hardware Architect at d-Matrix, your primary responsibilities include leading the design and architecture of next-generation AI solutions, conducting design space exploration, and workload mapping. You will also evaluate performance for cutting edge AI applications and collaborate closely with both software and hardware teams to create innovative architectural features.

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What qualifications are necessary to become an AI Hardware Architect at d-Matrix?

To qualify for the AI Hardware Architect position at d-Matrix, candidates typically need a PhD in Computer Science, Engineering, or a related field, along with 15+ years of industry experience. A solid understanding of computer architecture and HW/SW co-design, along with proficiency in languages like C/C++ or Python, is also essential.

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

The work environment for an AI Hardware Architect at d-Matrix is collaborative and innovative, allowing you to engage with a team of experts in both hardware and software. With a focus on respect and inclusion, d-Matrix fosters an atmosphere where your ideas are valued, and you'll have the flexibility to work from our Santa Clara HQ, Seattle office, or remotely.

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What kind of projects will an AI Hardware Architect work on at d-Matrix?

An AI Hardware Architect at d-Matrix will work on groundbreaking projects aimed at enhancing the performance and efficiency of AI workloads. You'll be involved in designing architectural features, performance modeling, and optimizing for both data planes and control plane tasks within our SoC, contributing to the exciting future of AI technology.

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How does d-Matrix define success for an AI Hardware Architect?

Success for an AI Hardware Architect at d-Matrix means not only delivering high-performance AI hardware solutions but also thriving in a team-oriented culture. Your ability to drive innovation, collaborate with varied teams, and contribute to effective hardware-software co-design will be key metrics to define your impact within our organization.

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Common Interview Questions for AI Hardware Architect
Can you explain your experience with hardware-software co-design?

In your response, highlight specific projects where you've integrated hardware and software components effectively. Discuss challenges faced and how your approach to co-design impacted overall performance and efficiency.

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What architectural features do you believe are crucial for AI hardware?

Focus on features that enhance parallel processing, performance tuning, and energy efficiency. Discuss your rationale behind these features based on experiences with previous projects to showcase your understanding of AI workloads.

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How do you approach performance modeling for AI Accelerators?

Share your methodology and any tools you use for performance modeling. Be specific about how you've analyzed GPU or AI accelerator architectures in the past and how you correlate these findings with RTL designs.

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Describe a challenging project you worked on and how you overcame obstacles.

Select a project that demonstrates your problem-solving skills. Discuss the obstacles faced, your thought process in addressing them, and the positive outcomes achieved from your efforts.

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How proficient are you in using C/C++ or Python in a Linux environment?

Discuss your proficiency level and provide examples of projects where you utilized these programming languages. Emphasize how you integrate coding into hardware architecture tasks.

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What experience do you have working with data parallel architectures?

Detail specific projects or roles where you implemented or optimized data parallel architectures, including any relevant tools and methodologies you applied.

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Have you ever contributed to ISA design? What was your role?

Share any direct experience you have with Instruction Set Architecture (ISA) design. Describe your responsibilities and the impact that your contributions had on the overall project.

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What techniques do you use for workload characterization?

Discuss the techniques and tools you’ve applied to characterize workloads in previous roles. Provide insights into how this data influenced design decisions in your work.

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How do you stay informed about the latest trends in AI hardware architecture?

Mention resources like technical journals, conferences, and online communities that you engage with to keep updated with industry's advances and best practices.

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Can you describe a time when you had to lead a team through a technical challenge?

Offer an example of a leadership experience, detailing the situation, your approach to guiding the team through the challenge, and the successful resolution that followed.

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EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
March 31, 2025

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