Senior Software Engineer, DL Compilers

Nvidia

Actively hiring

Remote (Us, Ca, Santa Clara, US) Posted 49 days ago $184,000–$287,500 / year

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At a glance

AI generated

TL;DR

NVIDIA is seeking senior software engineers to join its compiler team within the deep learning software organization, focusing on building high-performance GPU kernels through advanced code generation. This role involves designing and implementing compiler passes, IRs, and lowering pipelines that connect frontend ML compilers with NVIDIA's GPU compilation stack, ensuring efficient kernel generation for deep learning workloads. Key responsibilities include performance analysis, optimization across the entire codegen pipeline, and architectural decision-making to integrate with various components of the broader compilation ecosystem. Ideal candidates possess strong C/C++ skills, experience with MLIR-based transformations, and a background in compiler engineering, particularly in code generation and IR design. Hands-on experience with GPU architectures and contributions to open-source projects like MLIR or LLVM are highly valued, as is the ability to mentor engineers and drive technical direction within the team.

Skills

C/C++ MLIR LLVM XLA TVM OAI_Triton GPU High-performance_accelerators CI/CD Linux Git NVIDIA_GPU_architecture Compiler_engineering Code_generation IR_design Optimization_passes

What you'll do

Design and implement compiler passes, IRs, and lowering pipelines for GPU kernel generation.
Build MLIR-based transformations connecting frontend representations to backend code generation.
Perform performance analysis and optimization across the entire codegen pipeline.
Make architectural decisions on how the codegen backend integrates with NVIDIA's compilation ecosystem.
Set technical direction by scoping multi-quarter work and defining abstractions.
Work within and contribute to the tile-based IRs and their associated optimization infrastructure.

What we're looking for

6+ years of experience in compiler engineering with focus on code generation and optimization.
Strong proficiency in C/C++ for debugging, performance profiling, and maintainability.
Experience working independently on complex projects with increasing scope and ambiguity.
Hands-on experience with MLIR, including designing dialects and writing passes.
Track record of delivering end-to-end compiler infrastructure projects.
Working knowledge of GPU or high-performance accelerator architectures and execution models.
Contributions to open-source compiler projects like MLIR, LLVM, XLA, TVM, or OAI Triton.

Market check

Salary context

This $184,000–$287,500 range sits above 92% of similar postings on FindRole.

Peer median band

$117,000–$203,940

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$139,037–$175,500

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 802 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 798 roles with salary data.

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