May 12, 2026 Melissa Kashouh

d-Matrix – Software Infrastructure Engineer, Senior Staff

  • Anywhere

● TALENT ONE MARKET INTELLIGENCE: D-MATRIX

🔥 TALENT LIQUIDITY:
Extremely tight. The intersection of deep C++ systems knowledge and modern DevOps orchestration is a rare, high-value niche.

📈 ALPHA SIGNAL:
This role is the ‘plumbing’ of the AI revolution. By owning the infrastructure that validates custom silicon, you become a force multiplier for the entire engineering org, securing a high-equity position that hedges against standard software market volatility.

EST. COMPENSATION
$240k – $310k Base + Significant Equity Package
SECTOR HEAT
88.0/100
CANDIDATE PROTOCOL: Focus your interview on ‘Hardware-in-the-loop’ (HIL) automation. If you can prove you have scaled GitLab/Docker pipelines for physical hardware testing, you bypass the standard screening.

Official Role Description: d-Matrix

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 3-5 days per week.The Role: Software Infrastructure Engineer, Senior StaffThe role requires you to be part of the team that enables the software infrastructure to scale and to support the entire software engineering organization. As part of the software Infra team, you will be responsible for the development, enhancement, and maintenance of GitLab, Docker, and the tools to support the development of our ML accelerator systems both on hardware and software. The Software Infrastructure team members are expected to have strong exposure to C/C++, Python, REST APIs, Linux stacks, and containers.What you will bring:Minimum:Computer Science, Engineering, Math, Physics, or a related degree.Minimum 7+ years of industry experience in software infrastructures and DevOps.Proficient in C/C++ and Python.Proficient with GitLab merge process, merge trains, and CI/CD.Proficient with Docker and Podman containers.Experience with orchestration tools used for data center deployment of ML workloads, such as K8s.Experience with Bazel, code coverage, data source integration, and DevOps metrics.Experience with root causing CI issues, linting, bisect tooling, remote code coverage, security and vulnerability test coveragePreferred:Prior startup, small team, or incubation experience.Work experience at an AI compute/subsystem company.Prior experience as a DevOps engineer.Experience with MLOps and the ML workload deployment and development flowWilling to keep oneself up-to-date with the latest trends and research in the ML community and understand how the trends affect d-Matrix requirements and approachEqual Opportunity Employment Policyd-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.

Melissa Kashouh

Founder of Talent One I help enterprise leaders and investors forecast hiring surges, talent shortages, and market friction up to six weeks in advance using our patent-pending predictive intelligence platform. As the founder of Talent One AI (the intelligence layer of The Talent One), I built a system that turns lagging recruiting data into actionable foresight — helping companies reduce technical debt, protect employer brand, and hire ahead of the curve. Based in Providence, Rhode Island.
Talent One ● Entity Alert

Our Proprietary Predictive Labor Market Intelligence is Now Patent-Pending.

The Talent One has officially filed for patent protection on our core predictive system. We have moved talent intelligence from reactive placement to true foresight, allowing us to forecast hiring bottlenecks 6 weeks early with 84.6% directional accuracy.

Verified Backtest Diagnostics
Emerging Defense Tech 86.1 HEAT
Specialized Biotech 84.9 HEAT
Advanced Energy 81.7 HEAT
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