Staff Observability Engineer, Groq
$186.9-252.9k
+ Equity
AI semiconductor chip manufacturer
Open for applications
AI semiconductor chip manufacturer
201-500 employees
Open for applications
$186.9-252.9k
+ Equity
201-500 employees
Company mission
To increase developer velocity in machine learning by leading the way with simple, fast, innovative solutions.
Role
Who you are
- 4+ years of experience in observability as a core responsibility of previous roles
- Deep understanding of cloud-native technologies and infrastructure as a service (IaaS) such as Terraform and Flux
- Have instrumented large kubernetes clusters and built operators
- Expertise in standing up and running monitoring, observability, and alerting systems - OpenTelemetry Tracing and Collector, Grafana/Prometheus, PagerDuty, AlertManager, IPMI, SNMP, etc
- Strong analytical and problem-solving skills with a focus on root cause analysis and mitigation
- Excellent communication and teamwork skills with the ability to collaborate effectively across engineering teams
- 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
What the job involves
- Ensure the reliability, scalability, and performance of Groq’s observability tools and services for provisioning and managing the full lifecycle of Groq hardware, software, and networking systems at massive scale
- The observability team builds the monitoring and observability infrastructure and tooling that supports Groq’s inferencing hardware at massive scale, both in the cloud and our own datacenters
- Our mission is to enable the reliability, scalability, and performance of Groq’s tools and service across a wide range of signals and appliances, to support teams in production excellence, and to evangelize technical and cultural best practices around alerting, instrumentation, debugging, SLOs, and on-call
- Build and maintain comprehensive observability systems at massive scale. Obsess about running high quality production systems with excellent uptime that engineers can trust
- Constantly iterate on, maintain, update, automate, and dogfood your own systems. Put in place great monitoring of your own systems that can be used as best practices by the rest of the organization
- Instrument Kubernetes clusters, applications, and datacenter infrastructure components such as switches, PDUs, environmental sensors, cameras, chillers, etc
- Familiarity with and strong opinions on signals:
- Effective canonical logging and cost control
- Tracing expertise including context propagation, tail sampling strategies, attribute enrichment, querying
- Metrics derived from a variety of systems such as hosts, kube-state-metrics, kubelet, IPMI, SNMP
- Be a teacher: adviser teams on instrumenting their applications in a variety of languages (Rust, C++, TypeScript, GoLang), implementing sensible SLO and alerting strategies, as well as on-call best practices
Our take
Groq is an exciting semiconductor startup focused on creating advanced chips designed specifically for AI applications, particularly for AI inference, where models use trained data to deliver fast responses.
Groq aims to challenge Nvidia's dominance by focusing on speed and efficiency for AI deployment. While Nvidia's GPUs handle both training and running AI models, Groq's LPUs are optimized for inference tasks. With a recent $640M funding round, Groq plans to scale up and deploy over 100,000 LPUs by 2025.
To achieve this, the company has partnered with companies like Meta and Samsung, as well as sovereign entities like Saudi Aramco, showcasing the company's growth and potential. With its exciting technology, Groq is well-positioned to play a significant role in the AI chip market in the coming years.
Steph
Company Specialist at Welcome to the Jungle
Insights
-19% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Aug 2024
$640m
SERIES D
Jul 2024
$300m
SERIES D
Total funding: $1.3bn
Company HQ
Old Mountain View, Mountain View, CA
Leadership
Jonathan Ross
(Founder & CEO)Majored in Mathematics and Computer Science at NYU. Joined Google as a Software Engineer in 2011, and was promoted to Hardware Engineer in 2013. Co-founded Google's Tensor Processing Unit. Was also a Rapid Evaluator at Google X, and then founded Groq in 2016, acting as its CTO before becoming the CEO in 2018.
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