Unity
Unity
Unity izstrādā rīkus un pakalpojumus spēļu, lietotņu un aizraujošas reāllaika 3D pieredzes veidošanai. Tās platformā ietilpst Unity Engine daudzplatformu satura izveidei, Unity Cloud izstrādes darbplūsmām un Unity Grow lietotāju piesaistei un spēļu monetizācijai. Unity apkalpo spēļu nozares veidotājus un komandas, kā arī tādas uzņēmējdarbības jomas kā ražošana, apvienojot grafikas tehnoloģijas, mākslīgā intelekta iespējas, izstrādātājiem paredzētus resursus, kopienas atbalstu un profesionālo apmācību, lai palīdzētu interaktīvām idejām nonākt ražošanā.

Senior Backend Engineer, Vector AI

Build low-latency inference infrastructure at Unity, whose game engine powers billions of gaming experiences. Scale distributed systems across Google Cloud and Kubernetes.

Apraksts

  • Build and deploy backend services and distributed systems for large-scale online model inference.
  • Set technical direction for the inference platform, with a focus on low-latency, high-throughput serving.
  • Work with machine learning engineers to scale online serving as model complexity and inference volumes grow.
  • Use monitoring and observability tools to maintain reliability, scalability, and efficiency in production.
  • Manage and optimize Google Cloud infrastructure.
  • Orchestrate workloads with Kubernetes in a high-scale production environment.
  • Establish and apply backend best practices for development, testing, deployment, and monitoring across DevOps and SRE.

Prasības

  • Demonstrated experience designing, deploying, and maintaining distributed systems at scale.
  • Advanced Golang skills for developing high-performance, low-latency backend infrastructure.
  • Practical experience with Google Cloud infrastructure and Kubernetes workload orchestration.
  • Strong knowledge of monitoring and observability tools, including Prometheus and Grafana.
  • Background in ad tech, recommendation systems, real-time personalization, or another performance-critical field.
  • Familiarity with microservices, Docker-based containerization, and CI/CD practices.
  • Familiarity with machine learning platforms, workflows, and model serving infrastructure.
  • Experience using ML inference servers such as NVIDIA Triton Inference Server.
  • Familiarity with auctions or bidding systems in an advertising technology setting.
  • Professional spoken and written English.

Priekšrocības

  • Equity awards.
  • Eligibility for company incentive plans, including annual discretionary bonuses or sales commissions.
  • Comprehensive health, life, and disability insurance.
  • Commuting subsidy.
  • Employee stock ownership.
  • Competitive retirement or pension plans.
  • Generous vacation and personal leave.
  • Leave and family-care programs for new parents.
  • Food and snacks at the office.
  • Mental health and wellbeing programs and support.
  • Employee Resource Groups.
  • Global Employee Assistance Program.
  • Training and professional development programs.
  • Volunteer and donation-matching program.

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Nivoda

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Develop ranking, recommendation, and multimodal search systems for Nivoda’s global jewellery marketplace and jeweller storefronts. Build production machine learning capabilities across search, product discovery, and image matching.

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