Website Grid.ai
Senior Backend Engineer
Grid.ai enables companies of all sizes to train state-of-the-art AI models on hundreds of cloud GPUs and TPUs from their laptops. From the creator of the popular framework PyTorch Lightning, Grid is a platform for training models that enables rapid research iteration. Grid aims to simplify scalable AI research so that when a network becomes complex, code doesn’t.
Focus on Machine Learning, Not Infrastructure.
Grid.ai is backed by $18.6 million in funding from Index Ventures, Bain Capital Ventures, and Firstminute. Grid is a remote-first company founded by William Falcon and Luis Capelo.
What’s important to us
We are building a company of people that care deeply about the impact of AI on our society. We value:
- Integrity: AI is bound to change how we interact with computers, with each other, and the world—for the better. We are committed to building an inclusive company and developing ethical AI that improves humanity.
- Perseverance: Be bold, take the initiative, and make decisions with confidence. We empower our community, clients, and colleagues to tackle the impossible.
- Curiosity: We are genuinely interested in finding solutions to advance the state of AI research and foster its application in novel products. It’s not about whether we can solve the problem, but how.
What we’re looking for
We are looking for a senior or staff-level software engineer with experience building and scaling complex distributed systems on the cloud using Go and Kubernetes. You thrive in a fast-paced, start-up environment with a focus on speed, quality, and iteration from proof of concept to release.
You will join the Platform team, work alongside Neven (our Tech Lead), Filinto, and Tim, and report to Noha, our Senior Engineering Manager. This team is responsible for delivering Grid’s computing infrastructure at scale, targeting computing resources on multiple cloud providers, and optimizing datastores. Cross-team collaboration is very important to us, so you will also work on data models and microservices with Karolis, Alec, Rick, and Sherin on the Application team.
This is an opportunity to create groundbreaking technology that will transform the machine learning ecosystem!
What you’ll do
- Write readable/testable/efficient code in Go, manage k8s operations, and master our technology stack to deliver new features, improve system stability, and increase overall performance.
- Partner with engineering and product leaders on developing the platform architecture, and using your experience to inform the technical direction for large-scale projects.
- Evaluate, strengthen, and document technical architecture, tools, and processes.
- Champion software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt.
- Mentor and coach engineers on system design, operating in high uncertainty, and problem solving to create a supportive, inclusive environment in which each engineer can grow.
How we evaluate your candidacy
Our interviews will not only give us insight into your skillset, but give you insight into our company.
- Introduction- 30 minutes:Â You will speak with Scott, our Recruiter, about your background and what you are looking for in your next role. Alex will share some information with you about our team and the projects you will be involved in. If both parties decide that there is a match, we will proceed with a technical interview.
- Coding – 45 minutes:Â The first interview will be a coding interview with one of the Platform team engineers. We will provide a study guide for each interview, along with instructions on interview logistics and how to use CoderPad, a collaborative platform for coding interviews.
- Technical Interviews – 3 sessions at 45 minutes each:Â These interviews will cover your domain expertise and systems design. During this stage, you will meet our CEO, VP of Engineering, and one of our engineers.
- Culture Chat – 30 minutes:Â We take time to speak with every candidate about the team, Ethics in AI, our values, and how our technology can be used to create a positive social impact.
- CEO – 30 minutes: William Falcon, our CEO, likes to connect with every person joining our company. Be prepared to talk a bit about what you’ve learned and why you’d like to work with us.
- Offer:Â We try our best to give you a decision within 24 hours of each interview. At this point, we will present our offer and provide additional context about our stock options and growth trajectory.
- Start Date:Â Given our early stage, we would like all of our new hires to start within 4 weeks of offer acceptance.
To apply for this job please visit boards.greenhouse.io.
