Presentation
Staff Software Engineer, Streaming Systems
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Groq
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Palo Alto, CA
SessionJob Postings
DescriptionMission:
Design and build the real-time data infrastructure that powers GroqCloud’s global revenue engine, processing hundreds of billions of events each day, sustaining millions of writes per second, and enabling a multi-billion-dollar business to operate in real time. Drive the intelligence layer that fuels global billing, analytics, and real-time business operations at worldwide scale.
Responsibilities & opportunities in this role:
Architect high-performance data pipelines to ingest, process, and transform millions of structured and semi-structured events daily.
Build distributed, fault-tolerant frameworks for streaming data from diverse sources.
Create data services and APIs that make usage and billing data easily accessible across the platform.
Develop lightweight tools and dashboards to monitor and visualize data ingestion, throughput, and system health.
Ideal candidates have/are:
Strong background in real-time data processing, distributed systems, and analytics infrastructure.
Hands-on experience with streaming technologies such as Kafka, Flink, Spark Streaming, or Redpanda and real-time analytics databases such as Clickhouse, Druid, or Pinot.
Deep understanding of serialization, buffering, and data flow optimization in high-throughput systems.
Bonus points:
Experience deploying and managing workloads on Kubernetes.
A passion for systems performance, profiling, and low-latency optimization.
Familiarity with gRPC and RESTful API design.
Attributes of a Groqster:
Humility – Egos are checked at the door
Collaborative & Team Savvy – We make up the smartest person in the room, together
Growth & Giver Mindset – Learn it all versus know it all, we share knowledge generously
Curious & Innovative – Take a creative approach to projects, problems, and design
Passion, Grit, & Boldness – No-limit thinking, fueling informed risk taking
Design and build the real-time data infrastructure that powers GroqCloud’s global revenue engine, processing hundreds of billions of events each day, sustaining millions of writes per second, and enabling a multi-billion-dollar business to operate in real time. Drive the intelligence layer that fuels global billing, analytics, and real-time business operations at worldwide scale.
Responsibilities & opportunities in this role:
Architect high-performance data pipelines to ingest, process, and transform millions of structured and semi-structured events daily.
Build distributed, fault-tolerant frameworks for streaming data from diverse sources.
Create data services and APIs that make usage and billing data easily accessible across the platform.
Develop lightweight tools and dashboards to monitor and visualize data ingestion, throughput, and system health.
Ideal candidates have/are:
Strong background in real-time data processing, distributed systems, and analytics infrastructure.
Hands-on experience with streaming technologies such as Kafka, Flink, Spark Streaming, or Redpanda and real-time analytics databases such as Clickhouse, Druid, or Pinot.
Deep understanding of serialization, buffering, and data flow optimization in high-throughput systems.
Bonus points:
Experience deploying and managing workloads on Kubernetes.
A passion for systems performance, profiling, and low-latency optimization.
Familiarity with gRPC and RESTful API design.
Attributes of a Groqster:
Humility – Egos are checked at the door
Collaborative & Team Savvy – We make up the smartest person in the room, together
Growth & Giver Mindset – Learn it all versus know it all, we share knowledge generously
Curious & Innovative – Take a creative approach to projects, problems, and design
Passion, Grit, & Boldness – No-limit thinking, fueling informed risk taking
Company DescriptionGroq delivers fast, efficient AI inference. Our LPU-based system powers GroqCloud™, giving businesses and developers the speed and scale they need. From our Bay Area roots to our growing global presence, we are on a mission to make high performance AI compute more accessible and affordable. When real-time AI is within reach, anything is possible. Build fast.
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Event Type
Job Posting
TimeMonday, 17 November 20254:54pm - 4:54pm CST
LocationHall 6
Groq
In-person
Full Time
Permanent