{"id":135060,"url":"https://alion.io/job/f5-ai-inference-engineer-2","title":"SRE, AI Inference Engineer","company":{"id":5759,"name":"F5","domain":"f5.com","url":"https://alion.io/company/ffive","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":19,"ghost_share":0,"stale_share":0.789,"repost_share":0,"time_to_fill_p50_days":43,"computed_at":"2026-10-16T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Jose, United States","Seattle, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":176600,"max":265000,"currency":"USD","period":"year","gross":null,"usd_annual":265000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"C++","optional":false},{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Go","optional":false},{"name":"Kubernetes","optional":false},{"name":"llama.cpp","optional":false},{"name":"Ollama","optional":false},{"name":"Python","optional":false},{"name":"Rust","optional":false},{"name":"TensorRT","optional":false},{"name":"TGI","optional":false},{"name":"TPU","optional":false},{"name":"Triton","optional":false},{"name":"vLLM","optional":false},{"name":"Speculative Decoding","optional":true}],"status":"live","first_seen_at":"2026-08-27T00:00:00Z","employer_posted_date":"2026-09-11","last_verified_at":"2026-10-16T09:01:33Z","board_verified":true,"closed_at":null,"days_open":50,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":50},"description":"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. \nEverything 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.\nJob Description\nThe 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.\nThis role is pivotal in advancing F5’s AI capabilities, ensuring enterprise-grade reliability by leveraging hardware acceleration, designing scalable infrastructure, and monitoring system performance.\nKey Responsibilities\nHigh-Performance AI Serving\nBuild and maintain robust inference engines using tools like vLLM, TGI (Text Generation Inference), and NVIDIA Triton, ensuring high performance at scale.\n\nHandle deployment optimizations to deliver low-latency AI serving solutions for multiple business applications.\n\nHardware Acceleration and Optimization\nProfile and optimize models for specialized hardware backends, including NVIDIA GPUs (CUDA/TensorRT), Apple Silicon (CoreML), and AI accelerators like TPUs and LPUs.\n\nCollaborate with hardware teams to maximize utilization and performance across various computational environments.\n\nInference Orchestration and Scalability\nDesign and implement auto-scaling architectures for online (real-time) and batch inference pipelines, leveraging Kubernetes for inference routing and orchestration.\n\nEnsure software solutions are optimized for peak performance during traffic spikes, maintaining reliability and scalability.\n\nPerformance Monitoring and Observability\nEstablish robust observability frameworks to monitor Time to First Token (TTFT), tokens per second, and memory bandwidth utilization against service-level agreements (SLAs).\n\nBuild and execute performance and load testing suites to identify bottlenecks and ensure consistent reliability at scale.\n\nTechnical Requirements\nRequired Skills:\nProgramming Languages: Proficiency in programming languages such as Python, C++, Rust, or Golang specifically for high-performance AI workflows.\n\nInference Tools: Proven hands-on experience with tools like vLLM, TensorRT, Llama.cpp, and Ollama for inference development and optimization.\n\nInfrastructure Expertise: Strong familiarity with infrastructure technologies, including Docker, Kubernetes, and cloud platforms such as AWS, GCP, and Azure.\n\nHardware Optimization Expertise: Comprehensive understanding of GPU and AI hardware, including techniques for profiling and optimizing performance for accelerators like NVIDIA GPUs and TPUs.\n\nPreferred Experience:\nPrior experience deploying Large Language Models (LLMs) with advanced techniques like Speculative Decoding or PagedAttention.\n\nContributions to open-source inference libraries or hardware-level kernel development (e.g., CUDA, Triton kernels).\n\nBackground in MLOps or SRE roles focused on high-performance AI endpoints and reliability during demand surges.\n\nProficiency in designing scalable solutions for high-throughput inference environments optimized for traffic bursts.\n\nSuccess Metrics (KPIs):\nLatency Reduction: Continuously improve inference latency metrics, ensuring minimal Time to First Token (TTFT) and maximum tokens per second.\n\nCost Efficiency: Achieve lower \"Cost per 1K Tokens\" through better resource utilization and hardware optimization.\n\nScalability: Maintain system stability and reliability during traffic spikes, ensuring performance consistency across environments.\n\nThroughput Maximization: Deploy models optimized for peak hardware usage and maximized process throughput.\n\nWhy Join F5?\nF5 empowers you to push boundaries in AI optimization and high-performance engineering. Joining our team means:\nCollaborating with cutting-edge technologies and hardware solutions to support real-time AI applications.\n\nAdvancing your career in a fast-paced, multidisciplinary environment focused on innovation, scalability, and problem-solving.\n\nDriving transformative projects that deliver real-time AI reliability to global customers while maintaining cost and efficiency standards.\n\nWorking on advanced MLOps solutions that seamlessly scale enterprise AI systems and shape the future of intelligent deployment.\n\nWhat Success Looks Like:\nAs an AI Inference Engineer at F5, success is measured by your ability to:\nCombine technical expertise and problem-solving skills to deliver low-latency, scalable, and high-performing AI prediction systems.\n\nCollaborate efficiently across cross-functional teams, participating in knowledge sharing and system refinement.\n\nDemonstrate initiative by driving optimizations across hardware, tools, and orchestration processes, balancing immediate solutions with long-term architectural goals.\n\nTranslate complex AI and inference workflows into practical solutions that align with F5's strategic objectives.\n\nThe base pay range per annum for this position is: $176,600 - $265,000\nF5 maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, geographic locations, and market conditions, as well as to reflect F5’s differing products, industries, and lines of business. The pay range referenced is as of the time of the job posting and is subject to change. You may also be offered incentive compensation, bonus, restricted stock units, and benefits. More details about F5’s benefits can be found at the following link: https://www.f5.com/company/careers/benefits. F5 reserves the right to change or terminate any benefit plan without notice.\nThe 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.\nPlease note that F5 only contacts candidates through F5 email address (ending with @f5.com) or auto email notification from Workday (ending with f5.com ).\nEqual Employment Opportunity\nIt 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. 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