LLM Inference Systems Engineer — Custom Accelerator

Amazon Web Services (AWS); Cupertino (CA); On-site; USD 165,000 - 224,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Parental leave

Job summary

Annapurna Labs (U.S.) Inc. in Cupertino, CA is seeking a Software Development Engineer to own the design and implementation of our inference data plane for large models running on custom hardware.

You will shape model execution, memory management, data movement, and serving integration across the full inference path. You will write and optimize low-level code, validate architectures end-to-end, and build profiling and test infra to drive performance across the stack, from simulation to hardware

Qualifications

• Bachelor's degree or equivalent.
• 4+ years of full software development lifecycle.
• Knowledge of computer architecture, operating systems, and parallel computing.
• Knowledge of Linux fundamentals.
• Strong proficiency in C/C++.
• Experience developing compute kernels for GPUs, DSPs, or custom accelerators.
• Proven track record of owning and delivering complex software features.

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 bring-up.
• 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.

Skills

C/C++

Linux fundamentals

Computer architecture

Performance optimization

GPU/accelerator kernels

Education

Bachelor's degree or equivalent

Job description

Annapurna Labs (U.S.) Inc. in Cupertino, CA is seeking a Software Development Engineer to own the design and implementation of our inference data plane for large models running on custom hardware.

You will shape model execution, memory management, data movement, and serving integration across the full inference path. You will write and optimize low-level code, validate architectures end-to-end, and build profiling and test infra to drive performance across the stack, from simulation to hardware