At a Glance
- Tasks: Optimise deep learning performance and manage large-scale model training for self-driving tech.
- Company: Leading electric vehicle manufacturer in Greater London with a focus on innovation.
- Benefits: Competitive salary, cutting-edge projects, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on innovation and collaboration.
- Why this job: Join the forefront of self-driving technology and make a real impact on safety.
- Qualifications: PhD in Computer Science or equivalent experience, with expertise in PyTorch and deep learning.
The predicted salary is between 54000 - 84000 € per year.
A leading electric vehicle manufacturer in Greater London seeks a Staff Software Engineer specializing in machine learning infrastructure. The ideal candidate will optimize deep learning performance on NVIDIA GPU systems and manage large-scale model training.
Applicants should possess a PhD in Computer Science or equivalent experience, and have substantial knowledge in PyTorch and deep learning frameworks. This role contributes directly to safety-critical self-driving technologies for innovative vehicles.
Staff ML Infra Engineer: Self-Driving Training & Inference in London employer: Rivian
As a leading electric vehicle manufacturer in Greater London, we pride ourselves on fostering a dynamic and innovative work culture that prioritises employee growth and collaboration. Our commitment to cutting-edge technology and sustainability not only empowers our team to excel in their roles but also contributes to the development of safety-critical self-driving technologies. With competitive benefits and opportunities for professional advancement, we are dedicated to creating a rewarding environment for our employees.
StudySmarter Expert Advice🤫
We think this is how you could land Staff ML Infra Engineer: Self-Driving Training & Inference in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with machine learning and self-driving tech. LinkedIn is your best mate here – connect, engage, and don’t be shy to ask for insights or advice.
✨Tip Number 2
Show off your skills! If you’ve got projects or contributions to open-source that highlight your expertise in PyTorch or deep learning, make sure to showcase them. A personal portfolio can really set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of NVIDIA GPU systems and large-scale model training. Practice coding challenges and system design questions that are relevant to machine learning infrastructure.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals who want to contribute to cutting-edge technologies. Your dream job could be just a click away!
We think you need these skills to ace Staff ML Infra Engineer: Self-Driving Training & Inference in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with machine learning infrastructure and deep learning frameworks like PyTorch. We want to see how your skills align with optimising performance on NVIDIA GPU systems.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you're passionate about self-driving technologies and how your background makes you the perfect fit for this role. Keep it engaging and relevant!
Showcase Your Projects:If you've worked on any projects related to model training or safety-critical systems, make sure to mention them. We love seeing real-world applications of your skills, so don’t hold back!
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 this exciting opportunity in the electric vehicle sector!
How to prepare for a job interview at Rivian
✨Know Your Stuff
Make sure you brush up on your knowledge of machine learning infrastructure, especially with PyTorch and deep learning frameworks. Be ready to discuss specific projects where you've optimised performance on NVIDIA GPU systems, as this will show your hands-on experience.
✨Showcase Your Problem-Solving Skills
Prepare to tackle hypothetical scenarios related to model training and optimisation. Think about how you would approach challenges in safety-critical self-driving technologies, and be ready to explain your thought process clearly.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's approach to self-driving technology and their current projects. This not only shows your interest but also helps you gauge if the company is the right fit for you.
✨Be Yourself
While technical skills are crucial, don’t forget to let your personality shine through. Companies want to see how you’ll fit into their culture, so be genuine and share your passion for innovation in the electric vehicle space.
