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 strong emphasis 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 48000 - 72000 £ 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 employer: Rivian
Rivian is an exceptional employer located in Greater London, offering a dynamic and innovative work environment that prioritises sustainability and adventure. Employees benefit from a collaborative culture that fosters professional growth through continuous learning opportunities and cutting-edge projects in autonomous driving technology. Joining Rivian means being part of a forward-thinking team dedicated to shaping the future of transportation.
StudySmarter Expert Advice🤫
We think this is how you could land Staff ML Infra Engineer: Self-Driving Training & Inference
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with machine learning and self-driving tech. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got projects or contributions in PyTorch or deep learning frameworks, make sure to highlight them in conversations. Real-world examples can really impress.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of NVIDIA GPU systems and model training. We recommend doing mock interviews to get comfortable with the format and questions.
✨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!
We think you need these skills to ace Staff ML Infra Engineer: Self-Driving Training & Inference
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 the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about self-driving technologies and how your background makes you a perfect fit for our team. Let us know what excites you about working with cutting-edge electric vehicle tech.
Showcase Your Problem-Solving Skills:In your application, highlight specific examples where you've optimised performance on GPU systems or managed large-scale model training. We love seeing how you tackle challenges, so share those success stories with us!
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 gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at Rivian
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest advancements in machine learning infrastructure, especially with NVIDIA GPU systems. Brush up on your PyTorch skills and be ready to discuss how you've optimised deep learning performance in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to tackle hypothetical scenarios related to model training and inference. Think about challenges you've faced in previous roles and how you overcame them, particularly in safety-critical environments.
✨Understand the Company’s Vision
Research the electric vehicle manufacturer and their approach to self-driving technologies. Be prepared to discuss how your expertise aligns with their goals and how you can contribute to their innovative projects.
✨Ask Insightful Questions
Prepare thoughtful questions that demonstrate your interest in the role and the company. Inquire about their current projects, team dynamics, and how they measure success in machine learning initiatives.
