Senior Backend Engineer, Vector AI

LE130 Unity Technologies SF

Mountain View (CA)

On-site

USD 166,000 - 273,000

Full time

4 days ago
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Benefits offered by this job

Comprehensive health, life, and spine/
Disability insurance
Employee stock ownership
Generous vacation and personal days
Mental Health and Wellbeing programs
Office snacks
Volunteer and donation matching

Job summary

Unity Technologies SF is seeking a Senior Backend Engineer to design and operate the infrastructure behind billions of daily inferences, optimizing performance, reliability, and scalability. You will build distributed backend services and collaborate with ML engineers to ensure scalable online serving while maintaining low latency.

Responsibilities include deploying production-grade systems, shaping the inference platform, and leveraging Prometheus/Grafana for observability in a large-scale,

Qualifications

  • Distributed systems experience designing, deploying, and maintaining scalable services.
  • Proficient in Golang for high-performance backends.
  • Strong cloud experience with GCP and Kubernetes.
  • Solid knowledge of monitoring/observability with Prometheus and Grafana.
  • Background in ad tech, real-time personalization, or performance-critical domains.
  • Familiarity with microservices, containers (Docker), and CI/CD.

Responsibilities

  • Design, develop, and deploy production-grade backend services and distributed systems powering large-scale model inference.
  • Drive technical direction of the inference platform focusing on low-latency, high-throughput serving.
  • Collaborate with ML engineers to scale online serving with growing model complexity and volumes.
  • Ensure reliability and efficiency using monitoring/observability tools in production.

Skills

Distributed systems design
Golang
GCP cloud
Observability tooling
CI/CD
Ad tech / real-time bidding

Tools

Kubernetes
Docker
Prometheus
Grafana
Triton Inference Server

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 systems, real-time personalization, or other performance-critical domains
  • Familiarity with microservice architectures, containerization (Docker), and CI/CD best practices
  • Familiarity with machine learning platforms, workflows, and serving infrastructure
  • You might also have
    • Experience with ML inference servers like NVIDIA Triton Inference Server.
    • Familiarity with auction mechanics or bidding systems in an ad tech context.
Additional information

Gross pay annually: $165,600 - $273,400 USD This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate’s relevant experience, professional background, and skill set.

Benefits
  • Comprehensive health, life, and disability insurance
  • Commute subsidy
  • Employee stock ownership
  • Competitive retirement/pension plans
  • Generous vacation and personal days
  • Support for new parents through leave and family-care programs
  • Office food snacks
  • Mental Health and Wellbeing programs and support
  • Employee Resource Groups
  • Global Employee Assistance Program
  • Training and development programs
  • Volunteering and donation matching program

Life at Unity Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. 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. For more information, please visit www.unity.com.

Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators.

If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

Learn more about our culture and values, and get a head start by reading about how our hiring process works.

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