Principal System Software Engineer, AI Inference Execution

Entrada Ventures; Santa Clara (CA); Hybrid; USD 180,000 - 260,000; Full time

Job summary

d-Matrix, headquartered in Santa Clara, CA, seeks a Principal System Software Engineer for AI Inference Execution. You will join the software team to productize the AI compute engine's SW stack, developing deployment software and collaborating with ML, compiler, and hardware experts.

Required: strong background in system software and architecture, proficiency in C/C++/Python on Linux, and experience with distributed, high-performance software.

Qualifications

• BS in Computer Science, Engineering, Math, Physics, or related degree.
• 12+ years of industry software development experience (MS preferred with 6+ years).
• Strong grasp of system software, computer architecture, and ML fundamentals.
• Proficient in C/C++/Python development in Linux and standard tools.
• Experience with distributed, high-performance software design and implementation.
• Self-motivated team player with ownership and leadership.

Responsibilities

• Productize the SW stack for the AI compute engine deployment.
• Develop, enhance, and maintain the next-generation deployment software.
• Collaborate with ML, compilers, and hardware teams across the full stack.

Skills

System software

Data structures

Computer architecture

Machine learning basics

C/C++/Python

Linux development

Distributed systems

Ownership and leadership

Education

Bachelor's degree in Computer Science, Engineering, Math, Physics, or related

MS in Computer Science, Engineering, Math, Physics, or related

Tools

Kubernetes

Ray

NCCL

OpenMPI

TensorRT

vLLM

PyTorch

TensorFlow

ONNX Runtime

Job description

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: Principal System Software Engineer, AI Inference Execution

What you will do:

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. You have had past experience working across all aspects of the full-stack toolchain 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 software deliverables in a tight development window. You will 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.

What you will bring:

Minimum:

• 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
• Work experience at a cloud provider or AI compute/subsystem company

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.