Inference Runtime Systems - Software Engineer, Staff

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 onsite at our Santa Clara, CA headquarters 3 days per week - Hybrid.

We are seeking a skilled and experienced Staff Software Engineer to contribute to the architecture and development of our next-generation AI inference runtime. The ideal candidate will have a strong background in C++ development, with experience in building distributed systems or high-performance computing (HPC) applications. Familiarity with PyTorch internals or similar machine learning frameworks is a significant advantage.

What You Will Do:

• Architect and Develop: Lead the design and implementation of a high-performance inference runtime that leverages d-Matrix's advanced hardware capabilities.
• Integrate Frameworks: Integrate the inference runtime with PyTorch to enable upstream software capabilities like inference and finetuning.
• Collaborate: Work closely with cross-functional teams including hardware engineers, data scientists, and product managers to define requirements and deliver integrated solutions.
• Optimize Performance: Develop and implement optimization techniques to ensure low latency and high throughput in distributed and HPC environments.
• Code Quality: Ensure the code quality, and performance through rigorous testing and code reviews.
• Documentation: Create technical documentation to support development, deployment, and maintenance activities.

What You Will Bring:

• Education: Bachelor’s with a minimum of 6+ years of professional experience in software development with a focus on C++, Master’s degree preferred in computer science, Engineering, or a related field with 3+ years of professional experience in software development with a focus on C++

oExperience in architecting and building complex software systems.

oExperience with distributed systems or high-performance computing (HPC) applications.

oFamiliarity with PyTorch internals or similar machine learning frameworks.

•Technical Skills:

oStrong proficiency in modern C++ (C++11 and above) and Python.

oSolid understanding of software design patterns and best practices.

oExperience with parallel and concurrent programming.

oProficient in CMake, Pytest, and other development tools.

oKnowledge of GPU programming and acceleration techniques is a plus.

oProficient in using development tools and frameworks for building and deploying large-scale applications.

•Soft Skills:

oExcellent problem-solving and analytical skills.

oStrong communication and interpersonal abilities.

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.