Compiler Optimization Engineer

Design, develop, and maintain the graph optimization layer of our heterogeneous AI compiler

Implement and extend graph-level transformation passes including operator fusion, layout propagation, dead code elimination, constant folding, and algebraic simplification

Define and evolve our intermediate representation (IR) to support new optimization opportunities as ML model architectures advance

Analyze performance data to identify optimization gaps and drive measurable improvements in throughput and latency

Collaborate with front end and code generation teams to ensure clean IR interfaces and well-structured optimization pipelines

Propose and prototype new optimization strategies in response to advances in model design and hardware capabilities

Contribute to testing and validation infrastructure to ensure optimization correctness across model types and hardware targets

Own a critical layer of our compiler stack where optimization decisions have direct, measurable impact on model performance

Work on the hardest graph-level problems in AI infrastructure — across diverse hardware targets and model architectures

Collaborate with a team that treats infrastructure as a canvas and optimization as a craft

Competitive compensation including equity, medical/dental/vision, retirement savings, and wellness benefits

Lemurian Labs is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of gender identity, race, ethnicity, sexual orientation, disability status, age, or background.

Compensation depends on experience and geographic location and will be narrowed during the interview process. Additional benefits include equity, company bonus opportunities, medical, dental, and vision coverage, a retirement savings plan, and supplemental wellness benefits.