At a Glance
- Tasks: Enhance AI performance by building GPU kernels and developing a Rust-based server.
- Company: Deepstreamtech, a cutting-edge tech company in Greater London.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Fast-paced environment with exciting challenges and career advancement potential.
- Why this job: Join a dynamic team and work on innovative AI applications that make a difference.
- Qualifications: 3+ years in ML inference, deep learning frameworks, and GPU architecture expertise.
The predicted salary is between 60000 - 80000 € per year.
Deepstreamtech, located in Greater London, is seeking an AI Inference Engineer to enhance the performance and optimization of their inference engine. The role involves building and managing GPU kernels, migrating them to NVIDIA's CuTe DSL, and developing a Rust-based server for their growing applications.
Candidates should have over 3 years of experience with ML inference, familiarity with deep learning frameworks, and strong skills in GPU architectures. This role is crucial for delivering high performance under tight latency and cost constraints.
AI Inference Engineer: GPU-Driven, Rust & Python employer: Deepstreamtech
Deepstreamtech is an exceptional employer that fosters a dynamic and innovative work culture in the heart of Greater London. With a strong emphasis on employee growth, we offer opportunities for professional development and collaboration on cutting-edge AI technologies. Our commitment to a supportive environment ensures that every team member can thrive while contributing to impactful projects in the rapidly evolving field of machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land AI Inference Engineer: GPU-Driven, Rust & Python
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and GPU space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Rust, Python, and GPU optimisations. We want to see what you can do, so make sure it’s easy for potential employers to find your work.
✨Tip Number 3
Prepare for technical interviews by brushing up on your ML inference knowledge and deep learning frameworks. We suggest doing mock interviews with friends or using online platforms to get comfortable with the questions you might face.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace AI Inference Engineer: GPU-Driven, Rust & Python
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with ML inference and deep learning frameworks. We want to see how your skills align with the role, so don’t be shy about showcasing your GPU architecture expertise!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the AI Inference Engineer position and how your background in Rust and Python makes you a perfect fit for our team at Deepstreamtech.
Showcase Relevant Projects:If you've worked on projects involving GPU kernels or NVIDIA's CuTe DSL, make sure to mention them! We love seeing real-world applications of your skills, so include any relevant links or descriptions.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Deepstreamtech
✨Know Your Tech Inside Out
Make sure you’re well-versed in GPU architectures and the deep learning frameworks relevant to the role. Brush up on your Rust and Python skills, as you'll likely be asked to demonstrate your understanding of these languages during the interview.
✨Showcase Your Experience
Prepare specific examples from your past work that highlight your experience with ML inference and performance optimisation. Be ready to discuss how you've tackled tight latency and cost constraints in previous projects.
✨Understand Deepstreamtech's Needs
Research Deepstreamtech and their current projects. Understanding their products and challenges will help you tailor your answers and show that you're genuinely interested in contributing to their success.
✨Ask Insightful Questions
Prepare thoughtful questions about the team, the technology stack, and future projects. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
