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: Staff Technical Recruiter
In this role you will be responsible for managing candidates through all stages of the interview/hiring process. The ideal candidate will have proven experience sourcing, recruiting and partnering with business stakeholders to hire top talent for d-Matrix.
What you will do:
Hardware / Software Engineering Recruiter Responsibilities:
• Own full life-cycle recruiting for roles across multiple disciplines, from intake to close.
• Build and refine sourcing strategies for hard-to-find deep-tech talent, and drive adoption of AI-powered sourcing and screening tools across the team.
• Build genuine, trust-based relationships with hiring managers and candidates, acting as a strategic partner rather than an order-taker.
• Keep ATS data clean and build reporting and dashboards that give leadership a real-time, data-driven view of the pipeline.
• Operate autonomously, bringing structure to ambiguous searches without waiting to be told how.
What you will bring:
• 8+ years of full life-cycle technical recruiting experience, including closing senior and staff-level candidates.
• Experience recruiting across multiple technical verticals, not just a single specialty.
• Expert fluency with an ATS and with building your own reporting and dashboards.
• Proven ability to operate autonomously in a fast-paced, startup environment.
• Excellent communication skills, with a track record of building trust with hiring managers and candidates alike.
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.
Skills Required
- 8+ years of full life-cycle technical recruiting experience, including closing senior and staff-level candidates
- Experience recruiting across multiple technical verticals (hardware and software)
- Expert fluency with an ATS and ability to build reporting and dashboards
- Proven ability to operate autonomously in a fast-paced, startup environment
- Excellent communication skills and track record of building trust with hiring managers and candidates
- Experience sourcing deep-tech talent and using AI-powered sourcing and screening tools
What We Do
d-Matrix is building a new way of doing datacenter AI inferencing using in-memory computing (IMC) techniques with chiplet level scale-out interconnects. Founded in 2019, d-Matrix has attacked the physics of memory-compute integration using innovative circuit techniques, ML tools, software and algorithms; solving the memory-compute integration problem, which is the final frontier in AI compute efficiency.
