> Markdown version of [/jobs/ext/4607072-staff-software-engineer-ai-ml-inference-engineering](https://www.wearedevelopers.com/jobs/ext/4607072-staff-software-engineer-ai-ml-inference-engineering). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Software Engineer - AI/ML Inference Engineering - **Company:** ServiceNow - **Location:** Kirkland, United States - **Experience:** Expert - **Salary:** $201,300.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Unit Testing, Code Generation, Profiling, Cursor, Software Debugging, Software Design Patterns, Distributed Systems, Python (Programming Language), Machine Learning, Object-Oriented Software Development, Software Engineering, GitHub Copilot, Large Language Models, AI Coding Agents, Backend, Containerization, Kubernetes, Information Technology, Triton Inference Server, Machine Learning Operations, TensorRT, Api Gateway, VLLM, Model Inference, Servicenow - **Published:** November 6, 2026 - **Apply:** https://startup.jobs/senior-staff-software-engineer-ai-ml-inference-engineering-servicenow-10684852 ## About the Role * Expertise in Go or Python, OOP, Design Patterns, time and space-efficient algorithms * Model-serving and runtime experience, such as vLLM, TensorRT-LLM, Triton Inference Server. * Exposure to LLM APIs or ML-serving systems, or a clear ability to ramp up quickly * Experience building new products that use challenging algorithms * Expertise in coding efficient, object-oriented, modularized and quality software * Knowledge of core AI/ML techniques and algorithms * Knowledge of unit testing, profiling, and code tuning AI skills Artificial intelligence strategy is a critical skill at Experienced proficiency for IC5 - it applies to how you build and to what you build. * Confident use of AI coding assistants such as GitHub Copilot or Cursor, paired with the critical eye to review AI-generated code as rigorously as any other - catching logic errors, security anti-patterns, and missed edge cases rather than treating model output as production-ready. * AI-assisted debugging and trace analysis, and a clear understanding of the data privacy rules governing what goes into a prompt. Mandatory minimum * 8+ years of Backend software engineering experience * 4+ years of designing and operating distributed systems * Bachelor's degree in computer science, software engineering, or a closely related technical field required. * A master's degree may offset up to one year of the experience minimum. Equivalent practical experience is considered where technical depth is clearly demonstrable. Desired skills: * Deploy, scale, and operate services in production Kubernetes environments, including Helm-based deployments and CI/CD pipelines that make releases repeatable and safe to roll back. * Own observability for what you build - meaningful metrics, useful logs, real tracing, and alerts that fire on customer impact rather than on noise. * Debug and resolve production incidents independently, participate in on-call, run root-cause analysis, and operate against defined service level objectives. ## Description We are seeking a Senior Staff Software Engineer - AI/ML Inference Engineering to lead the architecture, optimization, and operational excellence of our AI inference platform. You will own the end-to-end inference lifecycle-from onboarding cutting-edge models to deploying optimized inference engines in production across multiple backends on Kubernetes infrastructure. You'll also architect the intelligent gateway layer using Envoy and ext_proc to enforce access control, provide observability, and enable advanced request routing. This role combines deep technical expertise in GPU compute, LLM APIs, inference frameworks, containerization, orchestration, and API gateway architecture with a bias toward pragmatic engineering and measurable performance impact., We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service., For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.