4 months ago

Software Engineer, Hardware Enablement

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Build and optimize support for new accelerator hardware across Modular’s AI platform stack. You’ll write and tune Mojo kernels, improve portability infrastructure and debugging workflows, and collaborate with hardware partners to validate architectures, integration tests, and platform-specific issues. The role combines low-level compiler/kernel work with cross-team tooling to help developers deploy models efficiently on emerging hardware platforms.

Location: Edinburgh, Boston

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Implement and validate support for new hardware architectures across the Modular stack under senior engineers’ guidance.
•Write and optimize Mojo kernels for novel accelerator architectures, emphasizing correctness and performance iteration.
•Improve portability infrastructure, tooling, and debugging workflows for new target hardware.
•Collaborate with hardware vendor engineers to understand platforms, build integration tests, and triage platform-specific issues.
•Develop expertise in new hardware platforms (ISA, memory hierarchies, vendor toolchains) and share findings via demos and write-ups.

Travel: Low travel

Pay and Benefits

Salary: USD 198,000 - 242,000 annually

Equity and Bonus:Equity

Perks:Health Insurance401kPaid Leave

Key Requirements

•5+ 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 such as CUDA, SYCL, or OpenCL.
•Familiarity with low-level AI operator implementation (e.g., GPU kernels/custom operators or working with PyTorch at the C++ layer).
•Comfort learning new hardware platforms quickly, including reading architecture manuals and vendor documentation.

Experience:5+ yearsHigh-performance computingCompiler engineeringAI infrastructureHeterogeneous computing

Skills:CollaborationTeam-orientedCuriosityLearning mindset

Tech Stack:MojoGraph compilerMAXC++PyTorchGPU kernelsCUDASYCLOpenCLTritonCUTLASSCuTeMLIRLLVMDSPsNPUsISA documentationVendor toolchainsIntegration testsModel serving

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Modular

Provides infrastructure and developer tools to build, deploy, and scale large AI models and foundation-model applications, including model hosting, orchestration, and SDKs to accelerate AI product development.

Industry: AI & Machine Learning

Website

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Modular

4 months ago

Software Engineer, Hardware Enablement

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Location: Edinburgh, Boston

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Implement and validate support for new hardware architectures across the Modular stack under senior engineers’ guidance.
•Write and optimize Mojo kernels for novel accelerator architectures, emphasizing correctness and performance iteration.
•Improve portability infrastructure, tooling, and debugging workflows for new target hardware.
•Collaborate with hardware vendor engineers to understand platforms, build integration tests, and triage platform-specific issues.
•Develop expertise in new hardware platforms (ISA, memory hierarchies, vendor toolchains) and share findings via demos and write-ups.

Travel: Low travel

Pay and Benefits

Salary: USD 198,000 - 242,000 annually

Equity and Bonus:Equity

Perks:Health Insurance401kPaid Leave

Key Requirements

•5+ 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 such as CUDA, SYCL, or OpenCL.
•Familiarity with low-level AI operator implementation (e.g., GPU kernels/custom operators or working with PyTorch at the C++ layer).
•Comfort learning new hardware platforms quickly, including reading architecture manuals and vendor documentation.

Experience:5+ yearsHigh-performance computingCompiler engineeringAI infrastructureHeterogeneous computing

Skills:CollaborationTeam-orientedCuriosityLearning mindset

Tech Stack:MojoGraph compilerMAXC++PyTorchGPU kernelsCUDASYCLOpenCLTritonCUTLASSCuTeMLIRLLVMDSPsNPUsISA documentationVendor toolchainsIntegration testsModel serving

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Modular

Industry: AI & Machine Learning

Website