Kubernetes Platform Engineer, Groq
Infrastructure, GroqMetal
$184.8-302.5k
OTE
AI semiconductor chip manufacturer
Be an early applicant
AI semiconductor chip manufacturer
201-500 employees
Be an early applicant
$184.8-302.5k
OTE
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
- Software engineers first: Experience designing, implementing, testing, shipping, and maintaining production software
- Hands-on Kubernetes experience: Experience building or operating Kubernetes-based systems, including areas such as controllers/operators, CRDs, cluster lifecycle, node management, scheduling, networking, or platform services
- Production infrastructure experience: Experience operating software in production and debugging problems across application, Kubernetes, networking, compute, and infrastructure layers
- Solid distributed-systems fundamentals: An understanding of failure handling, retries, idempotency, consistency, reconciliation, availability, and recovery, with an interest in developing deeper expertise
- Experience with disciplined software development: Comfortable with code review, automated testing, CI/CD, observability, deployment, and production operations
- Product-minded infrastructure engineers: Experience building Kubernetes, cloud infrastructure, or platform capabilities consumed by customers is highly valued, but not required
- Hands-on experience with modern development tools: Experience using coding agents such as Codex, Claude Code, or similar tools in substantive engineering work is valued
- Interested in the AI infrastructure domain: Experience with hyperscalers, neoclouds, GPUs, accelerator infrastructure, or AI workloads is valuable, but candidates with strong platform engineering fundamentals can develop this expertise in the role
- Comfortable growing through ambiguity: Able to independently solve well-scoped problems, ask good questions when requirements are unclear, and work with senior engineers on broader architectural decisions
What the job involves
- GroqMetal is building the infrastructure platform that turns large-scale physical compute into a reliable, isolated, customer-consumable product. As a Kubernetes Platform Engineer, you will build and operate production software within the GroqMetal platform, helping deliver Kubernetes as a commercial product for customers running large-scale AI training and inference workloads
- You will own meaningful platform components, work alongside experienced infrastructure engineers, and develop deep expertise in Kubernetes, distributed systems, and large-scale AI infrastructure
- Build production Kubernetes platform capabilities: Implement APIs, controllers, operators, automation, and platform services that support the GroqMetal product by extending Kubernetes
- Own components end to end: Take responsibility for well-defined platform capabilities from design and implementation through testing, deployment, operation, and continuous improvement
- Operate what you build: Improve reliability, observability, performance, and operational efficiency, and participate in diagnosing and resolving production issues
- Build a Kubernetes platform as a commercial platform: Develop capabilities used by dedicated customers running large-scale AI training and inference workloads
- Develop distributed systems expertise: Build software that handles retries, failures, concurrency, reconciliation, and changing infrastructure state correctly
- Improve the platform: Identify reliability, scalability, and usability problems and work with the team to deliver durable solutions
- Collaboration is a core skill: Work within a team of experts to elevate the collective efforts of our team. Collaborate with engineers across infrastructure, inference, networking, infosec, and related teams to integrate platform capabilities holistically
- Grow your technical scope: Contribute to design discussions, engineering practices, and technical decisions while developing toward ownership of increasingly complex platform systems
Our take
Groq is an exciting semiconductor startup focused on creating advanced chips designed specifically for AI applications. It emerged as a challenger to 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. This is the execution phase of AI, where outputs are generated after the model is trained. This sharp focus enabled Groq to generate both interest and investment, which has fuelled scaling and deployment efforts.
Playing a significant role in the AI chip market, Groq has partnered with companies like Meta and Samsung, as well as sovereign entities like Saudi Aramco. In 2025, it entered into a non-exclusive licensing agreement with Nvidia, which demonstrates the regard in which its technology is held. It also raised substantial new funding in 2026 which supports its continued growth.
Steph
Company Specialist at Welcome to the Jungle
Insights
-19% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Jun 2026
$650m
GROWTH EQUITY VC
Sep 2025
$750m
LATE VC
Total funding: $2.5bn
Company HQ
Old Mountain View, Mountain View, CA
Leadership
Adam Winter
(Interim CEO)Joined the company as VP/GM in 2024, taking up this interim position in 2026. Previously, Adam was SVP then Advisor at Safe Security, and co-founded ThreeCS. They have also invested in and advised at other startups.
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