What are the responsibilities and job description for the Senior Software Engineer, DL Compilers position at NVIDIA AI?
Job Requisition ID
JR2015756
Job Category
Engineering
Time Type
Full time
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.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 13, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
JR2015756
Job Category
Engineering
Time Type
Full time
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.
- 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.
- 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.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 13, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.