Unity3d

Unity3d

Développeur(se) Backend Sénior, Systèmes d’inférence ML / Senior Backend Engineer, ML Inference Systems

Montreal, Canada · Senior

Sponsorship not specifiedDetected 22 days ago
GoDistributed SystemsBackend DevelopmentGCPCloud PlatformsDockerKubernetesCI/CDPrometheusGrafanaDevOpsSite Reliability EngineeringMachine LearningComputer VisionCadenceUnityAR/VRCommunicationCollaboration

About the role

  • 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.
  • Join us and help influence how billions of gaming experiences are discovered, monetized, and how creators are rewarded.

Responsibilities

  • 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
  • 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).
  • 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.
  • Relocation support is not available for this position
  • Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collabo

Requirements

  • Experience designing, deploying, and maintaining distributed systems at scale
  • Hands-on experience with cloud infrastructure on GCP and workload orchestration with Kubernetes
  • Experience in ad tech, recommender systems, real-time personalization, or other performance-critical domains
  • Familiarity with microservice architectures, containerization (Docker), and CI/CD best practices
  • 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.

Nice to have

  • Ensure the reliability, scalability, and efficiency of our systems in production using monitoring and observability tools like Prometheus and Grafana.

Skills

  • Concevoir, développer et déployer des services backend et des systèmes distribués capables de traiter des milliards de requêtes quotidiennes
  • Définir la direction technique de notre plateforme d'inférence, en visant une faible latence et un débit élevé
  • Veiller à la fiabilité, à la scalabilité et à l'efficacité de nos systèmes en production à l'aide d'outils comme Prometheus et Grafana
  • Gérer et optimiser notre infrastructure infonuagique sur GCP, en orchestrant les charges de travail avec Kubernetes
  • Faire rayonner les meilleures pratiques de développement, de tests, de déploiement et de surveillance des services backend (DevOps, SRE)
  • Une expérience solide en conception, déploiement et maintenance de systèmes distribués à grande échelle
  • Maîtriser Golang pour bâtir des services backend performants et à faible latence
  • Connaître GCP et Kubernetes pour gérer des charges de travail en production
  • Être à l'aise avec Prometheus et Grafana pour la surveillance et l'observabilité
  • Connaître les architectures microservices, Docker et les bonnes pratiques CI/CD
  • Être familier(ère) avec les plateformes et infrastructures de service en apprentissage automatique
  • Une expérience avec des serveurs d'inférence ML comme NVIDIA Triton Inference Server

Benefits

  • We offer a wide range of benefits designed to support well-being and work-life balance.
  • Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.
  • Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D - closing the gap between ideas and reality.

Company info

  • At Unity, we want our team members to thrive.

Equal opportunity

  • equal opportunity employer.
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This listing is sourced directly from Unity3d's careers page and normalized into a canonical job model.