Staff Infrastructure Engineer, Groq
CA$156-272k
Plus equity
AI semiconductor chip manufacturer
Open for applications
AI semiconductor chip manufacturer
201-500 employees
Open for applications
CA$156-272k
Plus 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
- Extensive experience in software engineering with a focus on infrastructure, build systems, and automation
- Proven leadership in designing and implementing CI/CD pipelines, build systems, and other engineering infrastructure
- Proficiency in programming languages such as Go and Python, with experience in infrastructure and automation
- Familiarity with GitLab/GitHub and a strong understanding of modern software development practices
- Experience working with and supporting teams that develop in Haskell, C++, Rust, Go and Python
- Ability to drive change and improve engineering processes across a diverse set of teams, from Compilers to Hardware and Cloud
- A passion for enabling engineering teams to deliver high-quality software faster and more reliably, with a strong focus on testing and continual improvement
What the job involves
- Your mission is to lead the development and implementation of scalable, efficient, and automated systems that support Groq’s software engineering efforts
- You will ensure that our build, test, and release processes enable rapid iteration and high-quality software delivery, driving continuous improvement and operational excellence across the organization
- Accelerate Build Systems: Drive the evolution of our build systems, reducing wait times, increasing reliability, and ensuring seamless integration with existing tools like GitLab/GitHub, Buildkite and Nix
- Optimize CI/CD Pipelines: Lead the design and implementation of CI/CD pipelines that provide rapid, reliable feedback on code changes, enabling teams to release high-quality software frequently and confidently
- Enhance Code Quality: Implement and automate advanced code quality tools, including linting, automated code review, and static analysis, to ensure that high coding standards are consistently met across diverse languages like Haskell, C++, Rust, Go and Python
- Streamline Dependency Management: Drive initiatives to automate the maintenance and updating of software dependencies, minimizing technical debt and ensuring the security and integrity of our codebase
- Elevate Source Control Practices: Ensure that source control systems are optimized for ease of use, discoverability, and automation, enabling efficient collaboration across multiple engineering teams
- Support Hardware-Integrated Testing: Lead the development and management of production-like test environments for Groq hardware, ensuring these environments are highly available, easy to use, and closely aligned with production deployment scenarios
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
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
Articles
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.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 6 more jobs at Groq