6 дней назад
Senior Backend Engineer (Vector AI)
210 300 - 273 400$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Backend Engineer (Vector AI) (Golang, GCP, Kubernetes): Building and operating distributed inference systems that power ad ranking and bidding decisions across billions of daily requests with an accent on low-latency serving, scalability, and production reliability. Focus on designing high-throughput backend infrastructure, scaling online model serving with ML engineers, and optimizing observability and cloud workloads.
Location: Mountain View, CA, USA
Base salary: Zone A $210,300–$273,400 USD; Zone B $187,200–$243,300 USD; Zone C $165,600–$215,200 USD.
Company
develops a leading game engine and 3D development platform used for games, XR, web experiences, and applications across industries including automotive, manufacturing, and healthcare.
What you will do
- Design, develop, and deploy backend services and distributed systems for large-scale online model inference.
- Drive the technical direction of low-latency, high-throughput inference infrastructure.
- Partner with ML engineers to scale online serving infrastructure as model complexity and inference volumes grow.
- Improve production reliability, scalability, and efficiency using monitoring and observability tools.
- Manage GCP cloud infrastructure and orchestrate workloads with Kubernetes.
- Implement backend development, testing, deployment, DevOps, and SRE best practices.
Requirements
- Experience designing, deploying, and maintaining distributed systems at scale.
- Expertise in Golang for high-performance, low-latency backend infrastructure.
- Hands-on experience with GCP and Kubernetes.
- Strong knowledge of Prometheus, Grafana, microservices, Docker, and CI/CD practices.
- Experience in ad tech, recommender systems, real-time personalization, or other performance-critical domains.
- Professional English proficiency is required for frequent communication with colleagues and partners worldwide.
Nice to have
- Experience with ML inference servers such as NVIDIA Triton Inference Server.
- Familiarity with auction mechanics or bidding systems in ad tech.
- Experience using AI as a strategic engineering advantage while maintaining code quality and security.
Culture & Benefits
- Health, life, and disability insurance offerings vary by country and employment status.
- Employee stock ownership and retirement or pension plans.
- Generous vacation and personal days, parental leave, and family-care programs.
- Mental health, wellbeing, employee assistance, and employee resource group programs.
- Training and development programs, volunteering support, commute subsidy, and office snacks.
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