Senior ML Software Engineer, Data Plane

Saved job description

The MLIL DataPlane team is looking for a Senior Software Development Engineer to own the design and implementation of our inference data plane. We build the software that makes large models run efficiently on custom hardware - spanning model execution, memory management, data movement, and serving integration.

Our work covers the full inference path: integrating serving engines with custom hardware, developing high-performance compute kernels, enabling efficient data movement, and driving models from early validation through production. We operate at frontier scale with large distributed models.

This is a ground-up effort with rapidly evolving hardware and software. We need a senior IC who can write and optimize low-level code for custom hardware, validate model architectures end-to-end, build test and profiling infrastructure, and drive performance across the stack.

Key job responsibilities

- Develop and optimize compute kernels for a custom ML accelerator architecture, targeting production-level performance for large language model inference.

- Implement and validate LLM architectures end-to-end - from PyTorch model definition through distributed execution on custom hardware.

- Integrate custom accelerator backends into open-source ML serving frameworks (vLLM, PyTorch), including scheduler extensions, memory management, and model parallelism.

- Build and maintain test infrastructure for model correctness validation across CPU, GPU, simulator, and hardware targets.

- Profile and optimize inference workloads - identify bottlenecks, instrument critical paths, and drive latency and throughput improvements from simulation through hardware bringup.

- Own features end-to-end: from design through implementation, testing, and integration into the broader software stack.

- Contribute to CI/CD pipelines that gate model and kernel changes on correctness and performance regressions.

- Mentor engineers, drive design reviews, and raise the engineering bar across the team.

Requirements: - Bachelor's degree in computer science or equivalent

- 7+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

- Strong proficiency in C/C++

- Strong Linux systems knowledge

- Experience developing compute kernels for GPUs, DSPs, or custom accelerators

- Proven track record of owning and delivering complex software features end-to-end