New York, NY · Seattle, WA · San Francisco, CA · Sunnyvale, CA
Salary
$267,000–$267,000 / yr
Posted
19 days ago
Market check
Salary context
Above market
How this pay compares to similar roles
Similar $187k
This role $267k
$123k
most similar roles pay here
$282k
This role pays more than
94%
of similar roles. Most pay
$156,000–$218,975
— the shaded band above.
At the midpoint, this role pays about
$267k
versus about
$187k
for comparable roles.
Based on 239 similar postings.
Employer
About Uber
Uber Technologies, Inc. is the world’s largest, San Francisco-based mobile technology platform facilitating on-demand ride-hailing, food delivery (Uber Eats), and freight transportation across approximately 70 countries.
Uber currently has
95 open roles
on FindRole.
Listed pay typically runs
$232,000–$232,000
across 76 roles with salary data.
As a Senior Staff Engineer (L6) at Uber’s Core Infrastructure Platform in New York, Seattle, San Francisco, or Sunnyvale, you will lead the technical strategy and evolution of an ecosystem handling 1M+ concurrent trips and massive-scale ML workloads. Your day-to-day responsibilities include architecting strategic efficiency through ARM adoption, scaling GPU pools for Generative AI, modernizing the data plane towards industry standards like Kubernetes and Envoy, enforcing foundations and reliability with standardized safe-deployment practices, integrating AI-driven automation to enhance developer productivity, and mentoring Staff+ Engineers while influencing cross-organizational engineering standards. The role requires expertise in Go, Java, or C++, deep systems knowledge of Kubernetes and container runtimes, proficiency in cloud-native networking, and experience optimizing software for ARM architecture and specialized AI hardware.
Linux
C++
C
Camera HAL
Linux Kernel
Device Driver Model
MIPI
GMSL
I2C
GPIOs
3A Algorithms
V4L2
OpenCL
OpenGL
Android Camera Frameworks
Multimedia Software Development
Qualcomm camX Architecture
Remote (New York, NY)81 days ago
$146,440–$271,960
AWS
GCP
Azure
Java
Scala
Python
SQL
NoSQL
Spark
Kafka
API-first
microservices
ETL
real-time data processing
big data frameworks
AI-driven automation
agent-based systems
cloud-native development
linear advertising