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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer, DL Compilers - **Company:** NVIDIA Ltd. - **Location:** Santa Clara, CA, United States - **Experience:** Expert - **Salary:** $184,000.0 - $287,500.0 - **Contract:** Permanent contract - **Skills:** Clean Code Principles, C++ (Programming Language), Compilers, Code Generation, Profiling, Computer Engineering, Software Debugging, Open Source Technology, Software Architecture, Software Organization, Graphics Processing Unit (GPU), Deep Learning, Backend, Information Technology, Front End Software Development - **Published:** May 25, 2026 - **Apply:** https://www.juju.com/job/00000000g2mw51 ## About the Role + BS, MS, or PhD in Computer Science, Computer Engineering, or a related field (or equivalent experience). + 6+ years of relevant work or research experience in compilers, with focus on code generation, IR design, or optimization passes. + Strong C/C++ skills, including debugging, performance profiling, and designing for maintainability. + Ability to work independently and drive projects with increasing scope and ambiguity. + Strong interpersonal and communication skills, including the ability to work across teams and with external partners. Ways to stand out from the crowd: + Hands-on MLIR experience: designing dialects, writing passes, and reasoning about abstraction boundaries in a compilation pipeline. + Track record of owning and delivering complex compiler infrastructure end to end. + Working experience with GPU or other high-performance accelerator architectures and execution models. + Contributions to open-source compiler projects (MLIR, LLVM, XLA, TVM, OAI Triton). + History of mentoring engineers and raising the technical bar on a team. ## Description NVIDIA's GPUs are at the core of modern AI infrastructure, from training large-scale models to running inference in production. That position depends on software as much as hardware, and compiler engineering is a big part of what makes it work. We're hiring senior software engineers for a compiler team within NVIDIA's deep learning software organization. This team builds a code generation backend that connects frontend ML compilers to NVIDIA's GPU compilation and execution stack, targeting high-performance kernel generation for deep learning workloads. What you'll be doing: You'll work on the compiler infrastructure responsible for generating high-performance GPU kernels from frontend compiler representations. This spans the full codegen pipeline: taking in high-level graph operations, lowering them through intermediate representations, and producing efficient code targeting NVIDIA's GPU compiler backends. You may work at any layer of this stack, from the interface with compiler frontends down to the tile-level IR and code generation machinery underneath. + Designing and implementing compiler passes, IRs, and lowering pipelines for GPU kernel generation for DL compiler and framework integration. + Building MLIR-based transformations and compiler infrastructure connecting frontend representations to backend code generation. + Working within and contributing to the backend compilation stack itself, including tile-based IRs and their associated optimization and lowering infrastructure. + Performance analysis and optimization across the codegen pipeline, targeting both compute-bound and memory-bound GPU kernels against competitive baselines. + Making architectural decisions about how the codegen backend integrates with compiler frontends, GPU libraries, and NVIDIA's broader compilation ecosystem. + Setting technical direction for your area: scoping multi-quarter work, defining abstractions that hold up as the stack evolves, and influencing roadmap priorities. + Collaborating across teams, including hardware architects, framework teams, library teams, and external partners. ## Related Videos - [Just-in-time Compilation in JVM](https://www.wearedevelopers.com/videos/240-just-in-time-compilation-in-jvm) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Profiling Symfony & PHP apps with Blackfire](https://www.wearedevelopers.com/videos/265-profiling-symfony-php-apps-with-blackfire) - [Coffee with Developers - Stephen Jones - NVIDIA](https://www.wearedevelopers.com/videos/1303-coffee-with-developers-stephen-jones-nvidia) - [Building a Compiler with C#](https://www.wearedevelopers.com/videos/116-building-a-compiler-with-c) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Dev Digest 157: CUDA in Python, Gemini Code Assist and Back-dooring LLMs](https://www.wearedevelopers.com/magazine/557-dev-digest-157-cuda-in-python-gemini-code-assist-and-back-dooring-llms) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What’s the Difference between a Junior, Mid, and Senior Developer?](https://www.wearedevelopers.com/magazine/238-what-s-the-difference-between-a-junior-mid-and-senior-developer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)