Senior Principal Compiler Engineer
About the team
The compiler team at SambaNova powers the DPU through a unique compilation strategy. By fusing kernels into dataflow graphs that run across the entire accelerator architecture, we avoid sequential kernel launches and eliminate the memory traffic that bottlenecks conventional hardware. This is a key differentiator and unlike any other product on the market.
About the role
As a Senior Principal Compiler Engineer you'll lead critical areas of our compiler including the IR and pass infrastructure, model lowering and partitioning, tensor tiling, memory management, and mapping operations onto the fabric. You'll operate in a tightly coupled environment, influencing hardware design to optimize performance, and bring the technical judgement, cross functional diplomacy, foresight, and low-level programming depth that integrated system design demands. You'll work with senior team members to ensure career growth and engagement, mentor and develop early career talent, actively recruit for the organization, and participate in interviews.
Responsibilities
Lead compiler engineering through ensuring standard methodologies, enterprise product insertion and process evolution.
Work with peers, domain experts, developers, customers, and work across the enterprise seeking optimal solutions.
Develop, integrate, and implement products.
Provide support for proposals in key areas aligned with core team competencies.
Basic Qualifications
Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, or equivalent with 5-10 years of industry experience.
Additional Qualifications
Deep theoretical understanding of compiler fundamentals.
Experience building and deploying software products.
Experience with one or more deep learning frameworks (i.e. TensorFlow, PyTorch) is a plus.
Experience with common compiler development practices and methodologies.
Excitement about high-performance systems engineering and performance debugging.
An appreciation for process and developing cross-disciplinary collaboration.
Preferred Qualifications
Experience with MLIR.
Familiarity with machine learning models and frameworks.
Familiarity with accelerated computing.
Exposure to dataflow architectures.
Base Salary Range:
Base Pay Range
$180,000—$240,000 USD