AI Inference Engineer

At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation.

Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive.

The   AI Inference Engineer   plays a critical role in the AI lifecycle by bridging the gap between high-performance model development and optimized deployment environments. This position focuses on   optimizing   Large Language Models (LLMs)   for inference, serving diverse environments—from GPU-rich data centers to resource-constrained edge devices—with a strong emphasis on maximizing throughput, minimizing latency, and   maintaining   model accuracy.

This role is pivotal in advancing F5’s AI capabilities, ensuring enterprise-grade reliability by   leveraging   hardware acceleration, designing scalable infrastructure, and   monitoring   system performance.

Key Responsibilities

High-Performance AI Serving

- Build and   maintain   robust inference engines using tools like   vLLM ,   TGI (Text Generation Inference) , and   NVIDIA Triton , ensuring high performance at scale.

- Handle deployment optimizations to deliver low-latency AI serving solutions for multiple business applications.

Hardware Acceleration and Optimization

- Profile and   optimize   models for specialized hardware backends, including   NVIDIA GPUs   (CUDA/ TensorRT ),   Apple Silicon ( CoreML ) , and AI accelerators like   TPUs   and   LPUs .

- Collaborate with hardware teams to maximize   utilization   and performance across various computational environments.

Inference Orchestration and Scalability

- Design and implement   auto-scaling architectures   for online (real-time) and batch inference pipelines,   leveraging   Kubernetes   for inference routing and orchestration.

- Ensure software solutions are   optimized   for peak performance during traffic spikes,   maintaining   reliability and scalability.

Performance Monitoring and Observability

- Establish robust observability frameworks to   monitor   Time to First Token (TTFT) , tokens per second, and memory bandwidth   utilization   against service-level agreements (SLAs).

- Build and execute   performance and load testing suites   to   identify   bottlenecks and ensure consistent reliability at scale.

Technical Requirements

Required Skills:

- Programming Languages:   Proficiency   in programming languages such as   Python ,   C++ ,   Rust , or   Golang   specifically for high-performance AI workflows.

- Inference Tools:   Proven hands-on experience with tools like   vLLM ,   TensorRT ,   Llama.cpp , and   Ollama   for inference development and optimization.

- Infrastructure Expertise:   Strong familiarity with infrastructure technologies, including   Docker ,   Kubernetes , and cloud platforms such as   AWS ,   GCP , and   Azure .

- Hardware Optimization Expertise:   Comprehensive understanding of GPU and AI hardware, including techniques for profiling and   optimizing   performance for accelerators like NVIDIA GPUs and TPUs.

Preferred Experience:

- Prior experience deploying   Large Language Models (LLMs)   with advanced techniques like   Speculative Decoding   or   PagedAttention .

- Contributions to   open-source inference libraries   or hardware-level kernel development (e.g., CUDA, Triton kernels).

- Background in   MLOps   or   SRE   roles focused on   high-performance AI endpoints   and reliability during demand surges.

- Proficiency   in designing scalable solutions for high-throughput inference environments   optimized   for traffic bursts.

Success Metrics (KPIs):

- Latency Reduction:   Continuously improve inference latency metrics, ensuring minimal   Time to First Token (TTFT)   and   maximum   tokens per second.

- Cost Efficiency:   Achieve lower "Cost per 1K Tokens" through better resource   utilization   and hardware optimization.

- Scalability:   Maintain   system stability and reliability during   traffic spikes , ensuring performance consistency across environments.

- Throughput Maximization:   Deploy models   optimized   for peak hardware usage and maximized process throughput.

Why Join F5?

F5 empowers you to push boundaries in   AI optimization   and   high-performance engineering . Joining our team means:

- Collaborating with   cutting-edge   technologies and hardware solutions to support real-time AI applications.

- Advancing your career in a fast-paced, multidisciplinary environment focused on innovation, scalability, and problem-solving.

- Driving transformative projects that deliver real-time AI reliability to global customers while   maintaining   cost and efficiency standards.

- Working on advanced   MLOps   solutions   that seamlessly scale enterprise AI systems and shape the future of intelligent deployment.

What Success Looks Like:

As an   AI Inference Engineer   at F5, success is measured by your ability to:

- Combine technical   expertise   and problem-solving skills to deliver low-latency, scalable, and high-performing AI prediction systems.

- Collaborate efficiently across cross-functional teams,   participating   in knowledge sharing and system refinement.

- Demonstrate initiative by driving optimizations across hardware, tools, and orchestration processes, balancing immediate solutions with long-term architectural goals.

- Translate   complex AI and inference workflows into practical solutions that align with F5's strategic   objectives .

#LI-AK1

The Job Description is intended to be a general representation of the responsibilities and requirements of the job. However, the description may not be all-inclusive, and responsibilities and requirements are subject to change.

Please note that F5 only contacts candidates through F5 email address (ending with @f5.com) or auto email notification from Workday (ending with f5.com or @myworkday.com ) .

Equal Employment Opportunity

It is the policy of F5 to provide equal employment opportunities to all employees and employment applicants without regard to unlawful considerations of race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, sensory, physical, or mental disability, marital status, veteran or military status, genetic information, or any other classification protected by applicable local, state, or federal laws. This policy applies to all aspects of employment, including, but not limited to, hiring, job assignment, compensation, promotion, benefits, training, discipline, and termination.  F5 offers a variety of reasonable accommodations for candidates . Requesting an accommodation is completely voluntary. F5 will assess the need for accommodations in the application process separately from those that may be needed to perform the job. Request by contacting [email protected] .