ML Compiler Architect

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. 

Job Title: ML Compiler Architect

Location: Hybrid 3 days a week on Santa Clara, Ca or Toronto, Ontario, Canada

Role Description: We are seeking a highly skilled and motivated ML Compiler Architect to join our Architecture Team. This individual will play a critical role in designing and implementing the next generation of compilers that accelerate deep learning models on cutting-edge d-Matrix hardware architecture. The ideal candidate has a strong background in compiler development, proficiency in intermediate representation (IR) design, and hands-on experience with frameworks such as PyTorch. This is an opportunity to work at the intersection of machine learning, hardware, and software, shaping the future of AI performance and efficiency.

What You Will Do:

· Design and develop innovative compiler technologies to optimize and accelerate machine learning models.

· Collaborate closely with hardware and software teams to ensure smooth integration and maximum performance.

· Contribute to an active toolchain codebase, such as MLIR, XLA or similar projects.

· Implement compiler optimizations, including loop transformations, vectorization, parallelization, and SIMD operations.

· Analyze and improve compiler performance for diverse hardware architectures.

What You Will Bring:

· Proven experience in compiler architecture and development, particularly for machine learning (ML) compilers, domain-specific languages (DSLs), or static/dynamic language compilers.

· Strong proficiency in C++ programming.

· Experience with intermediate representation (IR) design.

· Experience accelerating deep learning models on hardware architectures.

· BS in Computer Science with 6+ years of experience of software engineering in compiler engineering teams OR MS in Computer Science with 3+ years of experience of software engineering in compiler engineering teams.

· Strong collaboration skills with cross-functional teams, including hardware or AI framework teams.

· Experience with advanced compiler optimizations, including loop optimizations, vectorization, and parallelization.

· Expertise in compiling and code generation targeting ML accelerators, custom hardware, GPUs, or CPUs.

· Familiarity with programming models for high-performance computations, such as CUDA, OpenCL, or OpenMP.

· Hands-on experience with toolchains like MLIR, LLVM, IREE, XLA, Triton, TVM, or Halide.

· Knowledge of ML frameworks, such as PyTorch, JAX or exchange formats like ONNX.

· Experience with hardware architecture-specific optimizations.

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.