Driver Engineer

Modular

. Implement and extend core driver abstractions across diverse hardware backends .

Posted 11/6/2026full-timeLos Altos • California • United StatesMid-LevelSenior💰 $148,000 - $270,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in high-performance, low-latency production systems using C++ and accelerator driver-level APIs. Proficient in debugging asynchronous, multi-device systems and contributing to open-source projects.

Highest-signal resume keywords

C++ (Modern C++17/20)CUDA Driver APIConcurrency and ParallelismGDB/LLDB DebuggingLibrary and API Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

High-Performance SystemsLow-Latency SystemsOwnership and Lifetime ManagementAsynchronous ExecutionError ReportingStream OrderingHost↔Device TransfersMemory ModelsModule LoadingDebugging Skills

Soft Skills

Collaborative Software DevelopmentDesign Discussion Participation

Tools & Technologies

NVLinkRDMAInfinibandRoCEEFAUCXMojo Standard LibraryMAX Framework

Industry Keywords

Open-Source ProjectsMulti-Accelerator CommunicationMulti-Node CommunicationError ModesRace Conditions

Tech Stack

Tools & technologies

Node.jsC++

About the role

Key responsibilities & impact

Implement and extend core driver abstractions across diverse hardware backends
Expose vendor-specific functionality through driver bindings where needed
Contribute to multi-accelerator and multi-node communication and collectives primitives
Use NVLink, RDMA (Infiniband, RoCE, EFA), sockets, and broker libraries such as UCX
Improve diagnostics and error reporting across the asynchronous execution stack
Partner with Kernels, Graph Compiler/Runtime, and Serving teams
Build and refine interfaces consumed by the Mojo standard library and MAX framework
Participate in design discussions, code reviews, and collaborative software development
Contribute to Modular's fully open-source project and GitHub repository

Requirements

What you’ll need

3+ years of experience writing high-performance, low-latency production systems in C++ (modern C++17/20)
Strong knowledge of ownership, lifetime, ABI stability, concurrency, and parallelism
Hands-on experience with at least one accelerator driver-level API: CUDA Driver API, HIP, Metal, or Vulkan compute
Experience with streams, events, contexts, and module loading
Working understanding of accelerator execution and memory models, stream ordering, host↔device transfers, and pinned memory
Solid library and API design skills
Strong debugging skills in asynchronous, multi-device systems
Experience with GDB/LLDB, sanitizers, CUDA/HIP error modes, race conditions, and leaked resources
Candidates based in the US or Canada are welcome to apply
All new hires must complete onboarding in person
Advanced degree in Computer Science or related field is helpful but not required

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
Team building events, local meetups, and regular team onsites
Travel opportunities/events 2-4 times a year
Relocation assistance for out-of-state candidates based in the US