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Compiler Engineer

Job

Acceler8 Talent

San Leandro, CA (In Person)

Full-Time

Posted 2 days ago (Updated 11 hours ago) • Actively hiring

Expires 6/25/2026

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Job Description

Compiler Engineer at Acceler8 Talent Compiler Engineer at Acceler8 Talent in San Leandro, California Posted in 9 minutes ago.
Type:
full-time
Job Description:
Compiler Engineer We're partnered with an AI infrastructure company building next-generation systems for large-scale AI workloads. Their platform is rethinking how AI execution runs across heterogeneous hardware - dynamically partitioning workloads, optimizing execution paths, and orchestrating inference across multiple accelerator types to unlock major gains in performance and efficiency. What You'll Work On Building compiler pipelines for large-scale AI inference workloads Designing and evolving multi-level IRs across graph, tensor, and kernel representations Implementing lowering and partitioning strategies across heterogeneous hardware Optimizing execution for latency, throughput, and memory efficiency Improving scheduling, kernel orchestration, and runtime behavior Working on compiler infrastructure spanning execution systems, runtime optimization, and memory movement Integrating new model architectures and inference execution patterns into the stack Collaborating closely with runtime, systems, and kernel engineers to drive end-to-end performance improvements What They're Looking For Strong systems and performance engineering fundamentals Experience building compiler systems or compiler-adjacent infrastructure Deep understanding of execution behavior, memory systems, and hardware efficiency Experience with MLIR, LLVM, XLA, TVM, Triton, or similar compiler/runtime infrastructure Familiarity with IR transformations, compiler passes, lowering systems, or runtime optimization Experience working with GPUs, AI accelerators, or heterogeneous compute environments Strong C++ and/or Python engineering skills Why Join Work on cutting-edge compiler infrastructure for modern AI systems Solve hard problems across inference, runtimes, scheduling, and heterogeneous execution Build foundational infrastructure for next-generation AI workloads Small, deeply technical engineering team Significant ownership and technical impact from day one