About Modular At Modular, a Qualcomm company , we’re on a mission to revolutionize AI infrastructure by systematically rebuilding the AI software stack from the ground up. Our team, made up of industry leaders and experts, is building cutting-edge, modular infrastructure that simplifies AI development and deployment. By rethinking the complexities of AI systems, we’re empowering everyone to unlock AI’s full potential and tackle some of the world’s most pressing challenges. If you’re passionate about shaping the future of AI and creating tools that make a real difference in people’s lives, we want you on our team. You can read about our culture and careers to understand how we work and what we value. About the role: ML developers today face significant friction in taking trained models into deployment. They work in a highly fragmented space, with incomplete and patchwork solutions that require significant performance tuning and non-generalizable, model-specific enhancements. At Modular, we are building the next generation AI platform that will radically improve the way developers build and deploy AI models. As part of our mission to build AI's unified compute layer, we are expanding the Modular software stack to a variety of new and exciting hardware platforms. We are looking for a motivated engineer to join the Hardware Enablement team at Modular. In this role you will work across the Modular software stack, from Mojo kernels and the graph compiler to MAX model serving to bring up and optimize support for new accelerator platforms. You'll collaborate closely with internal teams and external hardware partners, and you'll develop deep expertise in novel architectures while contributing to our portability story. LOCATION: Candidates based in the US, Canada are welcome to apply. To support growth and collaboration, those in earlier career stages work in a hybrid capacity at our Los Altos, CA office (minimum 3 days per week on-site) with relocation assistance provided for out-of-state candidates based in the US. Senior members have both in office or remote flexibility. Onboarding for new hires is conducted in Los Altos, CA. What you will do: Implement and validate support for new hardware architectures across the Modular stack, working under the guidance of senior engineers on the team Write and optimize Mojo kernels targeting novel accelerator architectures, with a focus on correctness first and performance iteration Contribute to cross-team efforts improving portability infrastructure, tooling, and debugging workflows for new target hardware Collaborate with hardware vendor engineers to understand target platforms, build integration tests, and triage platform-specific issues Develop working knowledge of new hardware platforms — including ISA documentation, memory hierarchies, and vendor toolchains — and share findings with the team through demos and write-ups Participate in company events such as on-sites and hackathons, contributing to a collaborative and open engineering culture What you bring to the table: 2+ years of experience in high-performance computing, compiler engineering, or related domains in industry or research Proficiency in C++ and experience working in complex, multi-component software systems Hands-on experience with at least one heterogeneous programming model (CUDA, SYCL, OpenCL, or similar), either as a user or contributor Some exposure to non-GPU accelerator architectures (DSPs, NPUs, or other hardware accelerators) is a strong plus Curiosity and willingness to learn new hardware platforms quickly, comfortable reading architecture manuals and vendor documentation A collaborative, team-oriented attitude and alignment with our culture Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Engineering, Electrical Engineering, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Engineering, Electrical Engineering, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Engineering, Electrical Engineering, Computer Science, or related field and 2+ years of Software Engineering or related work experience. 2+ years of work experience with Programming Language such as Python, Mojo, Rust, C++, etc. Helpful, but not required: Familiarity with how AI operators are implemented at a low level (e.g., experience writing or modifying GPU kernels, custom operators, or working with frameworks like PyTorch at the C++ layer) Experience with GPU DSLs/DSELs such as Triton, CUTLASS, or CuTe Familiarity with MLIR or LLVM compiler infrastructure Experience working directly with hardware vendor teams or on platform bring-up efforts Exposure to model serving or inference optimization workflows What Modular brings to the table: Amazing Team. We are a progressive and agile...