Staff Engineer, Hardware Enablement

Modular

. Bring up and validate support for new hardware architectures across kernels, compiler infrastructure, runtime, graph execution, and model serving .

Posted 11/12/2026full-timeRemote • United States, Canada, United KingdomLead💰 $180,000 - $270,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in high-performance computing and compiler engineering, with a strong focus on accelerator software development and optimization. Proficient in C++ and familiar with CUDA, SYCL, and OpenCL for GPU kernel programming and performance tuning.

Highest-signal resume keywords

High-Performance ComputingC++ ProgrammingCUDA/SYCL/OpenCL ExperienceGPU Kernel DevelopmentCompiler Engineering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

C++CUDASYCLOpenCLMojoPythonRustGPU Kernel ProgrammingPerformance OptimizationDebugging

Soft Skills

Strong CommunicationCollaboration Skills

Tools & Technologies

Compiler InfrastructureRuntimeGraph ExecutionModel ServingBenchmarking ToolsProfiling Tools

Industry Keywords

Accelerator ArchitecturesMemory HierarchyParallel ExecutionData MovementSoftware/Hardware Integration

Tech Stack

Tools & technologies

PythonPyTorchRustC++

About the role

Key responsibilities & impact

Bring up and validate support for new hardware architectures across kernels, compiler infrastructure, runtime, graph execution, and model serving
Write, port, and optimize Mojo kernels for novel accelerator architectures
Investigate performance and correctness issues across kernel execution, memory movement, compiler lowering, graph decisions, synchronization, and vendor runtime behavior
Develop understanding of accelerator ISA, execution model, memory hierarchy, synchronization, compiler constraints, and vendor toolchains
Map AI operators and workloads onto new architectures
Contribute to portability infrastructure, compiler integration, tooling, testing, and debugging workflows
Collaborate with hardware vendor engineers on platform capabilities, issues, integration tests, and hardware/software integration
Benchmark and profile workloads, identify bottlenecks, and improve production-quality performance
Share knowledge through technical documentation, demos, design discussions, and engineering write-ups
Participate in company events such as onsites and hackathons

Requirements

What you’ll need

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 CUDA, SYCL, OpenCL, or a comparable accelerator programming environment
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 memory hierarchy, parallel execution, synchronization, data movement, and software/hardware performance relationships
Experience debugging across software abstraction boundaries
Ability to read architecture manuals, ISA documentation, and vendor technical materials
Strong communication and collaboration skills
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, or C++

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
Traveling 2–4 times a year