Mojo Libraries Engineer

Modular

. Implement and validate support for new hardware architectures across the Modular stack under senior-engineer guidance .

Posted 11/9/2026full-timeLos Altos • California • United StatesJuniorMid-Level💰 $148,000 - $270,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in high-performance computing and compiler engineering, with proficiency in C++ and experience in heterogeneous programming models. Capable of collaborating with hardware vendors and internal teams to optimize support for new hardware architectures.

Highest-signal resume keywords

C++ ProgrammingHigh-Performance ComputingHeterogeneous Programming ModelsCompiler EngineeringCollaboration with Hardware Vendors

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Applicant Tracking System Keywords

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Hard Skills

Mojo ProgrammingCUDASYCLOpenCLPython ProgrammingRust ProgrammingLow-Level AI Operator ImplementationGPU Kernel DevelopmentMLIRLLVM

Soft Skills

Collaborative AttitudeCuriosityWillingness to Learn

Tools & Technologies

Vendor ToolchainsIntegration Testing ToolsDebugging WorkflowsMAX Model ServingGraph Compiler

Industry Keywords

Software EngineeringElectrical EngineeringComputer ScienceModel ServingInference Optimization

Tech Stack

Tools & technologies

PythonPyTorchRustC++

About the role

Key responsibilities & impact

Implement and validate support for new hardware architectures across the Modular stack under senior-engineer guidance
Write and optimize Mojo kernels targeting novel accelerator architectures
Contribute to 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 working knowledge of new hardware platforms, including ISA documentation, memory hierarchies, and vendor toolchains
Share hardware-platform findings through demos and write-ups
Participate in company events such as onsites and hackathons
Work across Mojo kernels, the graph compiler, and MAX model serving to bring up and optimize support for new accelerator platforms
Collaborate with internal teams and external hardware partners

Requirements

What you’ll need

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)
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
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 and 3+ years; OR PhD and 2+ years
2+ years of work experience with programming languages such as Python, Mojo, Rust, C++, etc.
Collaborative, team-oriented attitude and alignment with company culture
Familiarity with low-level AI operator implementation, GPU kernels, custom operators, or PyTorch at the C++ layer is helpful but not required
Experience with GPU DSLs/DSELs such as Triton, CUTLASS, or CuTe is helpful but not required
Familiarity with MLIR or LLVM compiler infrastructure is helpful but not required
Experience working directly with hardware vendor teams or platform bring-up efforts is helpful but not required
Exposure to model serving or inference optimization workflows is helpful but not required
Candidates must be authorized to work in the U.S. where applicable under the employer's E-Verify process

Benefits

Comp & perks

Comprehensive healthcare coverage
Retirement and savings programs
Employee stock purchase opportunities
Paid time off
Wellbeing resources
Family support programs
Learning and development opportunities
RSU grants
Regular team onsites and local meetups
Relocation assistance for out-of-state candidates based in the US
Travel 2-4 times a year for all roles