Principal AI/ML System Software Engineer

The role

The role requires you to be part of the team that helps productize the SW stack for our AI compute engine. As part of the software team, you will be responsible for the development, enhancement, and maintenance of the next-generation AI deployment software.

About the role

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.

Responsibilities

• Part of the team that helps productize the SW stack for our AI compute engine.
• Responsible for the development, enhancement, and maintenance of the next-generation AI deployment software.
• Build and scale software deliverables in a tight development window.
• Work with a team of system software experts to build out the deployment infrastructure, working closely with other software (ML and compilers) and hardware experts in the company.

Requirements

• BS in Computer Science, Engineering, Math, Physics, or related degree with 12+ years of industry software development experience and MS in Computer Science, Engineering, Math, Physics, or related degree preferred with 6+ years
• Strong grasp of system software, data structures, computer architecture, and machine learning fundamentals
• Proficient in C/C++/Python development in Linux environment and using standard development tools
• Experience with distributed, high-performance software design and implementation
• Self-motivated team player with a strong sense of ownership and leadership

Preferred

• MS or PhD in Computer Science, Electrical Engineering, or related fields
• Experience with inference servers/model serving frameworks (such as TensorRT-LLM, vLLM, SGLang, etc.)
• Experience with deep learning frameworks (such as PyTorch and TensorFlow)
• Experience with deep learning runtimes (such as ONNX Runtime, TensorRT, etc.)
• Experience with distributed systems collectives such as NCCL and OpenMPI
• Experience with software testing fundamentals
• Experience deploying ML workloads (LLMs, VLMs, NLP, etc.) on distributed systems
• Experience with Kubernetes, Ray, or other MLOps tools and techniques used from definition to deployment
• Prior startup, small team, or incubation experience

Benefits

Location: Hybrid, working onsite at our Santa Clara, CA, headquarters 3 days per week.

Pay

Commensurate with experience.

Schedule

Flexible, working onsite at our Santa Clara, CA, headquarters 3 days per week.

Skills

Strong grasp of system software, data structures, computer architecture, and machine learning fundamentals
Proficient in C/C++/Python development in Linux environment and using standard development tools
Experience with distributed, high-performance software design and implementation
Self-motivated team player with a strong sense of ownership and leadership

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.