Senior ML Inference Engineer for Custom Hardware

Amazon Web Services (AWS); Cupertino (CA); On-site; USD 193,000 - 262,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Annapurna Labs (U.S.) Inc. is seeking a Senior Software Development Engineer to own the design and implementation of the inference data plane for large models.

You will build software for efficient execution on custom hardware, covering model execution, memory management, data movement, and serving integration. Responsibilities include developing compute kernels, validating end-to-end LLM architectures, and integrating backends into ML serving frameworks.

Qualifications

• Bachelor’s degree in computer science or equivalent.
• 7+ years of full software development life cycle 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.
• Knowledge of ML fundamentals, including transformer architectures.
• Familiarity with ML frameworks including PyTorch, JAX, vLLM, SGLang, Dynamo, TorchXLA, and TensorRT.

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.

Skills

C/C++

Linux

Compute kernels

Software development lifecycle

ML frameworks (PyTorch, JAX, vLLM)

ML fundamentals

Education

Bachelor's degree in Computer Science or equivalent

Tools

PyTorch

JAX

vLLM

Dynamo

TorchXLA

TensorRT

Job description

Annapurna Labs (U.S.) Inc. is seeking a Senior Software Development Engineer to own the design and implementation of the inference data plane for large models.

You will build software for efficient execution on custom hardware, covering model execution, memory management, data movement, and serving integration. Responsibilities include developing compute kernels, validating end-to-end LLM architectures, and integrating backends into ML serving frameworks.