Software Engineer, Hardware Enablement

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 tool chains, 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.

LOCATION: Candidates based in the US, Canada, and UK are welcome to apply. You can work in our office in Los Altos, CA, Edinburgh, or remotely from home. Onboarding for new hires is conducted in-person at the appropriate office.

• 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 tool chains.
• 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.

• 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…