Unity Technologies

Gaming

SeniorBackendEngineer,MLInferenceSystems

$136–237k Mountain View, California, United States
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“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.

Gaming
Eligibility Requirements

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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