Location: Remote

Position Type: Full-time

About the Role

We are seeking a talented and driven AI Software Performance Engineer to join our advanced

technology group. In this role, you will act as a key technical expert, working directly with

internal engineering teams, strategic partners, and high-profile clients to accelerate, optimize,

and deploy cutting-edge AI solutions.

Your mission will be to bridge the gap between complex AI workloads and underlying hardware

capabilities, ensuring maximum efficiency and top-tier performance.

Key Responsibilities

● Performance Optimization: Analyze, profile, and characterize client AI workloads to

deliver fully optimized configurations for targeted hardware infrastructure.

● Model Engineering: Research industry trends to prototype new solutions. Modify

existing AI models, adjust parameters, and apply quantization techniques to resolve

bottlenecks and enhance runtime performance.

● Ecosystem Collaboration: Partner with framework engineers and product development

teams to align future hardware designs with emerging AI software requirements.

● Technical Advising: Serve as a trusted consultant for strategic enterprise customers,

guiding them through complex deployment challenges.

● Benchmarking: Develop competitive benchmarking collateral and translate real-world

workload data into actionable requirements for future product generations.

Requirements

Core Qualifications:

● 2+ years of hands-on experience in software profiling and performance tuning using

Python (proven track record of identifying and resolving code-level bottlenecks).

● 1+ year of experience working with Transformers and Large Language Models

(LLMs) within the PyTorch ecosystem, including a solid understanding of LLM

architecture.

● 1+ year of practical experience with container orchestration platforms like Kubernetes

or Red Hat OpenShift.

● Strong analytical thinking, problem-solving skills, and a proactive attitude toward

technology.

● Excellent technical and non-technical communication skills in English, with the ability to

influence stakeholders.

Nice to have:

● Experience with Cloud Service Providers (AWS, GCP, or Azure).

● Familiarity with modern LLM serving frameworks (e.g., vLLM, Sglang).

● Deep understanding of hardware memory utilization, virtualization, and Linux containers.

● Previous experience in direct customer-facing technical roles.

Education & Experience

● Bachelor's degree in Computer Science, Computer/Electrical Engineering, Math,

Physics, or a related field + 5 years of industry experience, OR

● Master's degree in the fields above + 3 years of industry experience, OR

● PhD in the fields above + 1 year of industry experience.

Senior AI Software Performance Engineer