Values

The ad says“Exposure to non-NVIDIA accelerators in production — AMD ROCm, Apple Metal, etc.”
The ad says“Exposure to non-NVIDIA accelerators in production — AMD ROCm, Apple Metal, etc.”
The ad says“Experience with asynchronous runtimes, custom memory allocators, or RDMA-based networking (Infiniband, RoCE, EFA, UCX, NIXL, MPI, NVSHMEM/ROCSHMEM/OpenSHMEM).”
The ad says“Experience with zero-copy tensor interoperability — DLPack, the CUDA Array Interface, or similar.”
The ad says“Experience with zero-copy tensor interoperability — DLPack, the CUDA Array Interface, or similar.”
The ad says“Experience with asynchronous runtimes, custom memory allocators, or RDMA-based networking (Infiniband, RoCE, EFA, UCX, NIXL, MPI, NVSHMEM/ROCSHMEM/OpenSHMEM).”
The ad says“Experience with asynchronous runtimes, custom memory allocators, or RDMA-based networking (Infiniband, RoCE, EFA, UCX, NIXL, MPI, NVSHMEM/ROCSHMEM/OpenSHMEM).”
The ad says“Familiarity with Mojo, or recent open-source contributions to systems projects (LLVM, PyTorch, JAX/XLA, TVM, IREE, vLLM, TRT-LLM).”
The ad says“Familiarity with Mojo, or recent open-source contributions to systems projects (LLVM, PyTorch, JAX/XLA, TVM, IREE, vLLM, TRT-LLM).”
The ad says“Familiarity with Mojo, or recent open-source contributions to systems projects (LLVM, PyTorch, JAX/XLA, TVM, IREE, vLLM, TRT-LLM).”
The ad says“Familiarity with Mojo, or recent open-source contributions to systems projects (LLVM, PyTorch, JAX/XLA, TVM, IREE, vLLM, TRT-LLM).”
The ad says“Experience with asynchronous runtimes, custom memory allocators, or RDMA-based networking (Infiniband, RoCE, EFA, UCX, NIXL, MPI, NVSHMEM/ROCSHMEM/OpenSHMEM).”
The ad says“Experience with asynchronous runtimes, custom memory allocators, or RDMA-based networking (Infiniband, RoCE, EFA, UCX, NIXL, MPI, NVSHMEM/ROCSHMEM/OpenSHMEM).”
The ad says“Experience with asynchronous runtimes, custom memory allocators, or RDMA-based networking (Infiniband, RoCE, EFA, UCX, NIXL, MPI, NVSHMEM/ROCSHMEM/OpenSHMEM).”
The ad says“Experience with asynchronous runtimes, custom memory allocators, or RDMA-based networking (Infiniband, RoCE, EFA, UCX, NIXL, MPI, NVSHMEM/ROCSHMEM/OpenSHMEM).”
The ad says“Familiarity with Mojo, or recent open-source contributions to systems projects (LLVM, PyTorch, JAX/XLA, TVM, IREE, vLLM, TRT-LLM).”
The ad says“Experience with asynchronous runtimes, custom memory allocators, or RDMA-based networking (Infiniband, RoCE, EFA, UCX, NIXL, MPI, NVSHMEM/ROCSHMEM/OpenSHMEM).”
The ad says“Experience with asynchronous runtimes, custom memory allocators, or RDMA-based networking (Infiniband, RoCE, EFA, UCX, NIXL, MPI, NVSHMEM/ROCSHMEM/OpenSHMEM).”
The ad says“Experience with asynchronous runtimes, custom memory allocators, or RDMA-based networking (Infiniband, RoCE, EFA, UCX, NIXL, MPI, NVSHMEM/ROCSHMEM/OpenSHMEM).”
The ad says“Familiarity with Mojo, or recent open-source contributions to systems projects (LLVM, PyTorch, JAX/XLA, TVM, IREE, vLLM, TRT-LLM).”
The ad says“Familiarity with Mojo, or recent open-source contributions to systems projects (LLVM, PyTorch, JAX/XLA, TVM, IREE, vLLM, TRT-LLM).”
The ad says“Experience with asynchronous runtimes, custom memory allocators, or RDMA-based networking (Infiniband, RoCE, EFA, UCX, NIXL, MPI, NVSHMEM/ROCSHMEM/OpenSHMEM).”
The ad says“Familiarity with Mojo, or recent open-source contributions to systems projects (LLVM, PyTorch, JAX/XLA, TVM, IREE, vLLM, TRT-LLM).”

About the role

As a Driver Engineer, you'll work on the layer that sits between Modular's compiler and runtime stack and the silicon — the devices, contexts, queues, synchronization primitives, memory allocators, networking, and collectives that every kernel and graph execution depends on. Your work directly affects how reliably and efficiently MAX and Mojo run across NVIDIA, AMD, Apple Silicon, and emerging accelerators, and how cleanly kernel and graph authors can target them from Mojo and Python. This is the team that makes "it just works on a new accelerator" actually true.

LOCATION: Candidates based in the US and Canada are welcome to apply. To support growth and collaboration, those in earlier career stages work in a hybrid capacity at our Los Altos, CA office (minimum 3 days per week on-site) with relocation assistance provided for out-of-state candidates based in the US. Senior members have both in office or remote flexibility. All new hires will complete onboarding in person.

What you will do

Implement and extend core driver abstractions — Device, Context, Queue, Memory, Function (kernel representation and launch) — across diverse hardware backends, including bindings that expose vendor-specific functionality where it matters.
Contribute to multi-accelerator and multi-node communication and collectives primitives that underpin large-model inference, using technologies like NVLink, RDMA (Infiniband, RoCE, EFA), and sockets — via a combination of direct programming and broker libraries like UCX.
Improve diagnostics and error reporting across our asynchronous execution stack — turning low-level driver failures into actionable messages for kernel and graph authors in production environments.
Partner with peer teams — Kernels, Graph Compiler/Runtime, and Serving — to build and refine the surfaces they consume in the Mojo standard library and MAX framework.
Participate in design discussions, code reviews, and collaborative software development to uphold high engineering standards.
Contribute to a fully open source project — everything you build will be public and part of our GitHub repo.

What you bring to the table

3+ years of experience writing high-performance, low-latency production systems C++ (modern C++17/20), with strong instincts for 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 — including streams, events, contexts, and module loading. Familiarity with async allocators and IPC is a plus.
Working understanding of accelerator execution and memory models — stream ordering, host↔device transfers, and pinned memory. Exposure to peer access and multi-GPU topologies (NVLink/xGMI, NUMA) is a plus.
Solid instincts for library and API design — naming, layering, ergonomics.
Strong debugging skills in asynchronous, multi-device systems — GDB/LLDB, sanitizers, CUDA/HIP error modes, race conditions, leaked resources.
A proactive, collaborative mindset, intellectual curiosity, and drive to identify and solve complex technical challenges as part of a high-performing team.

Helpful but not required

Experience with asynchronous runtimes, custom memory allocators, or RDMA-based networking (Infiniband, RoCE, EFA, UCX, NIXL, MPI, NVSHMEM/ROCSHMEM/OpenSHMEM).
Exposure to non-NVIDIA accelerators in production — AMD ROCm, Apple Metal, etc.
Experience with zero-copy tensor interoperability — DLPack, the CUDA Array Interface, or similar.
Familiarity with Mojo, or recent open-source contributions to systems projects (LLVM, PyTorch, JAX/XLA, TVM, IREE, vLLM, TRT-LLM).
An advanced degree in Computer Science or a related field.

What Modular brings to the table:

Amazing Team. We are a progressive and agile team with some of the industry’s best engineering and product leaders.
World-class Benefits. In order to attract the best, we need to offer the best. Your benefits package may include comprehensive healthcare coverage, retirement and savings programs, employee stock purchase opportunities, paid time off, wellbeing resources, family support programs, and learning and development opportunities. Please note that specific benefit packages may vary based on your location, you can read more about benefits offered by Qualcomm here.
Competitive Compensation. We offer very strong compensation packages, including RSU grants. We want people to be focused on their best work and believe in tailoring compensation plans to meet the needs of our workforce.
Team Building Events. We organize regular team onsites and local meetups in Los Altos, CA as well as different cities. Traveling 2-4 times a year is expected for all roles.

Working at Modular will enable you to grow quickly as you work alongside incredibly motivated and talented people who have high standards, possess a growth mindset, and a purpose to truly change the world.

The estimated base salary range for this role to be performed in the US, regardless of the state, is $148,000.00–$270,000.00 USD.

The estimated base salary range for this role to be performed in Canada, regardless of the province, is $172,000.00–$258,600.00 CAD.

The salary for the successful applicant will depend on a variety of permissible, non-discriminatory job-related factors, which include but are not limited to education, training, work experience, business needs, or market demands. This range may be modified in the future. The total compensation for a candidate will also include annual target bonus, equity, and benefits, with equity making up a significant portion of total compensation.

For candidates who fall outside of the listed requirements, we nevertheless encourage you to apply, as we may have upcoming openings at lower or higher levels than the one advertised.

Modular is proud to emphasize an equal opportunity, safe environment for people to do their best work. Modular is an affirmative action employer. We are committed to providing equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

If you require reasonable accommodations to participate in the interview process, please let your recruiter know, and we will work with you to meet your needs in compliance with the ADA.

This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9.

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