10 дней назад
Staff Backend Engineer (Vector AI)
192 600 - 317 800$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Backend Engineer (Vector AI): Building and operating distributed inference systems that power billions of daily ad-ranking and bidding decisions 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 GCP and Kubernetes workloads.
Location: Mountain View, CA, USA
Gross annual base salary: Zone A $244,500–$317,800 USD; Zone B $217,500–$282,700 USD; Zone C $192,600–$250,300 USD.
Company
develops a leading game engine and 3D development platform used across games, XR, web, automotive, manufacturing, and healthcare.
What you will do
- Design, develop, and deploy production-grade backend services and distributed systems for large-scale online model inference.
- Drive the technical direction of an inference platform focused on low latency and high throughput.
- Partner with ML engineers to scale online serving infrastructure as model complexity and inference volume grow.
- Improve production reliability, scalability, and efficiency through monitoring and observability with Prometheus and Grafana.
- Manage GCP cloud infrastructure and orchestrate workloads with Kubernetes.
- Implement backend development, testing, deployment, DevOps, and SRE best practices.
Requirements
- 5+ years of 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, microservice architectures, Docker, and CI/CD.
- 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 ad-tech bidding systems.
- Familiarity with machine learning platforms, workflows, and serving infrastructure.
Culture & Benefits
- Health, life, and disability insurance offerings vary by country and employment status.
- Employee stock ownership and competitive retirement or pension plans.
- Generous vacation and personal days, parental leave, and family-care programs.
- Mental health support, an Employee Assistance Program, and Employee Resource Groups.
- Training and development programs, volunteering support, and donation matching.
- Office food and commute support may be available depending on location.
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