Unity Technologies
Gaming
SeniorBackendEngineer,MLInferenceSystems
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Backend Engineer, ML Inference Systems at Unity Technologies. Skills: Distributed systems, Golang, GCP, Kubernetes. Design, develop, and deploy backend services. Operate distributed systems”
What You'll Achieve.
Billions of daily impressions; Billions of daily decisions; Billions of gaming experiences discovered; Billions of gaming experiences monetized; Creators are rewarded
Industry & Context.
Relocation support is not available
What They're Looking For.
Must Have
Experience designing, deploying, and maintaining distributed systems at scale, Expertise in Golang for building high-performance, low-latency backend infrastructure, Hands-on experience with cloud infrastructure on GCP, Workload orchestration with Kubernetes, Grounding in monitoring and observability tooling, including Prometheus and Grafana, Familiarity with microservice architectures, Containerization (Docker), CI/CD best practices, Familiarity with machine learning platforms, workflows, and serving infrastructure
Nice to Have
Experience with ML inference servers like NVIDIA Triton Inference Server, Familiarity with auction mechanics or bidding systems in an ad tech context, Experience embracing AI as a strategic advantage in engineering, Following established best practices for code quality and security
What You'll Do.
and deploy backend services
Operate distributed systems
Power large-scale online model inference
Drive technical direction of inference platform
high-throughput serving infrastructure
Partner with ML engineers
Ensure online serving infrastructure scales
Manage and optimize cloud infrastructure
Orchestrate workloads with Kubernetes
Promote and implement best practices
How You'll Work.
Team & Collaboration
Partner with ML engineers; Work with product team
Communication Scope
Professional verbal and written exchanges in English
Full Job Description
The opportunity Every day, we connect billions of players with the games and experiences they love. Our Vector Gamer AI team sits at the heart of that mission, governing ad ranking and bidding decisions across billions of daily impressions, where large-scale machine learning and real-world impact converge at scale. We're hiring a Senior Backend Engineer to build and operate the infrastructure those models depend on. You'll design and operate the distributed systems that power billions of daily decisions, with a focus on the performance, reliability, and scalability of inference systems. Join us and help influence how billions of gaming experiences are discovered, monetized, and how creators are rewarded. What you'll be doing Design, develop, and deploy production-grade backend services and distributed systems powering large-scale online model inference at billions of daily requests Drive technical direction of our inference platform, with a focus on low-latency, high-throughput serving infrastructure Partner with ML engineers to ensure online serving infrastructure scales with growing model complexity and inference volumes, without compromising latency or throughput Ensure the reliability, scalability, and efficiency of our systems in production using monitoring and observability tools like Prometheus and Grafana Manage and optimize cloud infrastructure on GCP, orchestrating workloads with Kubernetes across a high-scale production environment Promote and implement best practices for backend service development, testing, deployment, and monitoring (DevOps, SRE) What we're looking for Experience designing, deploying, and maintaining distributed systems at scale Expertise in Golang for building high-performance, low-latency backend infrastructure Hands-on experience with cloud infrastructure on GCP and workload orchestration with Kubernetes Strong grounding in monitoring and observability tooling, including Prometheus and Grafana Experience in ad tech, recommender syst
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