Software Engineer, Modular

• 5+ years of experience in high-performance computing, compiler engineering, accelerator software, systems engineering, or a closely related domain in industry or research
• Strong C++ skills and experience contributing to complex, multi-component software systems
• Hands-on experience with at least one heterogeneous programming model such as CUDA, SYCL, OpenCL, or a comparable accelerator programming environment
• Understanding of how AI operators are implemented at a low level, demonstrated through experience writing or modifying GPU kernels, custom operators, accelerator code, or working with ML frameworks such as PyTorch at the C++/systems layer
• Working knowledge of hardware concepts such as memory hierarchy, parallel execution, synchronization, data movement, and the relationship between software performance and the underlying architecture
• Experience debugging problems that cross software abstraction boundaries and an ability to systematically reason about correctness and performance
• Ability and enthusiasm to learn unfamiliar hardware platforms quickly, including becoming comfortable reading architecture manuals, ISA documentation, and vendor technical materials
• Strong communication and collaboration skills, including the ability to work effectively across compiler, runtime, kernel, and hardware teams
• A pragmatic engineering mindset that prioritizes correctness during initial bringup while understanding how to iterate methodically toward performance

Desirable

• We're looking for a motivated Hardware Enablement Engineer to help bring that vision to new accelerator platforms
• You'll work across the Modular software stack — from Mojo kernels and compiler infrastructure to the graph compiler, runtime, and MAX model serving — to bring up and optimize support for new hardware architectures
• This is a highly cross-functional systems role
• You'll learn how new accelerators execute computation, move data, synchronize work, and interact with vendor toolchains, then help translate those capabilities into a performant and reliable experience within Modular's stack
• You'll collaborate closely with engineers across Modular as well as external hardware partners, developing deep expertise in novel architectures while contributing directly to our hardware portability story
• Bring up and validate support for new hardware architectures across the Modular software stack, working across kernels, compiler infrastructure, runtime, graph execution, and model serving
• Write, port, and optimize Mojo kernels for novel accelerator architectures, establishing correctness first and iterating toward strong performance
• Investigate performance and correctness issues across layers of the stack, including kernel execution, memory movement, compiler lowering, graph decisions, synchronization, and vendor runtime behavior
• Develop a detailed understanding of new hardware platforms, including their ISA, execution model, memory hierarchy, synchronization mechanisms, compiler constraints, and vendor toolchains
• Help map important AI operators and workloads onto new architectures, understanding how operations such as matrix multiplication, convolution, reductions, and other model primitives execute efficiently on the target hardware
• Contribute to portability infrastructure, compiler integration, tooling, testing, and debugging workflows that make it easier to support additional hardware platforms over time
• Collaborate directly with hardware vendor engineers to understand platform capabilities, investigate issues, build integration tests, and improve end-to-end hardware/software integration
• Benchmark and profile workloads as hardware support matures, identifying bottlenecks and helping move new platforms from initial correctness toward production-quality performance
• Share knowledge about emerging architectures with the broader team through technical documentation, demos, design discussions, and engineering write-ups
• Participate in company events such as onsites and hackathons while contributing to Modular's collaborative and open engineering culture