Software Engineer – AI Inference Engine

About the Job

We are seeking a highly technical Inference Engine Engineer to optimize the performance and efficiency of our core inference engine. In this role, you will focus on designing, implementing, and optimizing GPU kernels and supporting infrastructure for next-generation generative and agentic AI workloads. Your work will directly power the most latency-critical and compute-intensive systems deployed by our customers.

We are looking for an exceptional engineer with a strong foundation in GPU programming and compiler infrastructure. The ideal candidate enjoys pushing performance boundaries and has experience supporting production-scale machine learning applications.

Key Responsibilities

Design and optimize custom GPU kernels for AI (e.g., transformer and diffusion) workloads

Contribute to the development of FriendliAI’s kernel compiler, memory planner, runtime, and other core components.

Collaborate with cloud and infrastructure engineers to ensure end-to-end inference performance

Analyze performance bottlenecks across the software and hardware stack, and implement targeted optimizations

Drive support for new model architectures and tensor compute patterns

Maintain production-grade performance infrastructure, including profiling, benchmarking, and validation tools

Qualifications

5+ years of experience in production or high-impact research environments

Production-level expertise in Python and C++

Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent

Experience developing machine learning frameworks or performance-critical runtime systems

Hands-on experience writing and optimizing GPU kernels

Hands-on experience profiling GPU kernels

Experience working with generative AI models such as transformer and diffusion models

Preferred Experience

Experience developing machine learning compilers or code generation systems

Familiarity with dynamic shape compilation, memory planning, and kernel fusion

Contributions to inference engines, compilers, or high-performance numerical libraries

Understanding of multi-GPU and distributed inference strategies

Benefits

Flexible working hours

Daily lunch and dinner provided; unlimited snacks and beverages

Supportive and highly collaborative work environment

Health check-up support and top-tier equipment/hardware support

A front-row seat to the generative AI infrastructure revolution

Competitive compensation, startup equity, health insurance, and other benefits.

About FriendliAI

FriendliAI is building the world’s best AI inference platform that makes large language and multi-modal models fast, efficient, and deployable at scale. We power high-throughput, low-latency AI workloads for organizations worldwide and integrate directly with Hugging Face, giving developers instant access to over 600,000 open-source models.

We are a small, fast-moving team doing work that matters at one of the most exciting moments in the history of technology. With our world-class inference engine, we are building a platform that the AI industry can actually rely on.