Modular

3 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: 13 hours agoStatus: Live

Job Summary

Join Modular’s Hardware Enablement team to bring up and optimize support for new accelerator platforms across the Modular stack ( Mojo kernels, graph compiler, MAX model serving ). Collaborate with hardware partners, write optimized kernels, and expand portability infra while learning new architectures. Hybrid, multi-location role with US/UK/Norway bases; traditional onsite presence in Edinburgh/Boston for early-career staff.

Location: United States, United Kingdom, Norway

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•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

Pay and Benefits

Salary: USD 198,000 - 242,000 annually

Equity and Bonus:Equity

Perks:401kEquity

Key Requirements

•5+ years of experience in high-performance computing, compiler engineering, or related domains in industry or research
•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)
•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

Experience:5+ yearsHigh-performance computingCompiler engineeringHardware enablementAI accelerators

Skills:CollaborationTeamworkCuriosityCommunication

Tech Stack:C++CUDASYCLOpenCLGPU kernelsMojoGraph compilerMAX model servingPyTorch

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

3 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: 13 hours agoStatus: Live

Job Summary

Location: United States, United Kingdom, Norway

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•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

Pay and Benefits

Salary: USD 198,000 - 242,000 annually

Equity and Bonus:Equity

Perks:401kEquity

Key Requirements

•5+ years of experience in high-performance computing, compiler engineering, or related domains in industry or research
•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)
•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

Experience:5+ yearsHigh-performance computingCompiler engineeringHardware enablementAI accelerators

Skills:CollaborationTeamworkCuriosityCommunication

Tech Stack:C++CUDASYCLOpenCLGPU kernelsMojoGraph compilerMAX model servingPyTorch

Company Brief

Modular

Industry: AI & Machine Learning

Website