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- Tasks: Design failure detection systems and enhance AI training infrastructure.
- Company: Global AI research company based in London with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join us to shape the future of AI technology with cutting-edge engineering solutions.
- Qualifications: Experience in distributed systems and performance optimisation is essential.
- Other info: Collaborative environment with a strong emphasis on reliability and teamwork.
The predicted salary is between 43200 - 72000 £ per year.
A global AI research company in London is seeking a Software Engineer for Platform Systems to enhance large-scale AI training infrastructure.
Key responsibilities include:
- Designing failure detection systems
- Improving observability
- Collaborating with various teams to ensure the platform's reliability
Ideal candidates should have experience in:
- Distributed systems
- Performance optimization
- Debugging complex issues
Join us in shaping the future of AI technology with state-of-the-art engineering solutions.
Platform Systems Engineer: Scalable AI Infra & Observability employer: OpenAI
Contact Detail:
OpenAI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Platform Systems Engineer: Scalable AI Infra & Observability
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects related to distributed systems and performance optimisation. It’s a great way to demonstrate your expertise beyond the application.
✨Tip Number 3
Prepare for those interviews! Brush up on your debugging techniques and be ready to discuss how you’d tackle complex issues. We want to see your thought process in action!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Platform Systems Engineer: Scalable AI Infra & Observability
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with distributed systems and performance optimisation. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI infrastructure and how your background makes you a perfect fit for our team. Let us know what excites you about the role!
Showcase Problem-Solving Skills: In your application, include examples of how you've tackled complex issues in the past. We love seeing candidates who can think critically and come up with innovative solutions, especially in high-pressure situations.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at OpenAI
✨Know Your Distributed Systems
Make sure you brush up on your knowledge of distributed systems before the interview. Be ready to discuss your past experiences with them, especially any challenges you've faced and how you overcame them. This will show that you understand the complexities involved in large-scale AI training infrastructure.
✨Showcase Your Debugging Skills
Prepare to talk about specific instances where you've debugged complex issues. Have a couple of examples ready that highlight your problem-solving skills and your approach to identifying and resolving performance bottlenecks. This will demonstrate your hands-on experience and technical prowess.
✨Understand Observability Principles
Familiarise yourself with observability concepts and tools. Be prepared to discuss how you would improve observability in a platform system. This could include metrics, logging, and tracing strategies. Showing that you can think critically about these aspects will set you apart.
✨Collaborate and Communicate
Since collaboration is key in this role, think of examples where you've worked with cross-functional teams. Highlight your communication skills and how you ensure everyone is aligned on project goals. This will illustrate that you're not just a tech whiz but also a team player who can contribute to a positive work environment.
