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- Tasks: Automate and optimise testing of deep learning models and AI services.
- Company: Join NVIDIA, a leader in AI technology and innovation.
- Benefits: Competitive salary, diverse culture, and opportunities for growth.
- Why this job: Shape the future of AI while collaborating with top-tier engineers.
- Qualifications: 5+ years in software development with strong Python skills.
- Other info: Dynamic environment with a focus on creativity and autonomy.
The predicted salary is between 42000 - 84000 £ per year.
Senior Python DL Automation Engineer, Deep Learning Algorithms (NVIDIA)
Join to apply for the Senior Python DL Automation Engineer, Deep Learning Algorithms role at NVIDIA.
Shape the future of AI by contributing to software used by the global community. Collaborate with top-tier software engineers to develop a comprehensive toolset that rigorously tests deep learning models and frameworks on the most powerful computers. Ability to work in a multifaceted, fast-paced environment is required, as well as strong social skills.
In this role, you will collaborate with internal partners, users, and the open-source community to develop and implement solutions for building, testing, integrating, and releasing NVIDIA AI services and deep learning frameworks on the most powerful, enterprise-grade GPU clusters, capable of hundreds of petaflops. You will work with internal engineering teams to deploy and operationalize AI models and services at scale by driving adoption for end-to-end AI solutions in the cloud and on-prem.
We are seeking passionate and hardworking Python developers to help us scale our AI services, platforms, models, and internal tools. You will be responsible for implementing and maintaining tools and infrastructure that enable our teams to productize the NVIDIA software stack, from deep learning frameworks to deep learning models and AI services.
Are you ready for this challenge?
What You’ll Be Doing
- Automating and optimizing testing of deep learning models and AI services from different domains, with a focus on inference.
- Developing shared utilities for setting up systems, running tests, and recording results.
- Configuring, maintaining, and building upon deployments of industry-standard tools.
- Lead best practices for building, testing, and releasing software, including AI services and Deep Learning models, and documenting them.
- Identifying infrastructure needs and translating them into action.
- Building tools for automatic content generation mechanisms that save dozens of engineering hours.
What We Need To See
- BSc or MS degree in Computer Science, Software Architecture or related engineering field.
- 5+ years of work experience in software development.
- Excellent Python programming and system design skills.
- Understanding of Deep Learning foundations, allowing benchmarking on DL models and AI services.
- Strong analytical and problem-solving skills, and a proactive, data-driven approach.
- Effective time-management and organization skills for coordinating multiple initiatives, priorities, and implementations of new technology and products into very complex projects.
- Effective communication, an open-minded attitude, and comprehensive documentation practices.
Ways To Stand Out From The Crowd
- Proficiency in Linux Environments and Containerization.
- Expertise in Continuous Integration/Deployment (CI/CD) and Large-Scale Automation.
- Familiarity with Front-end and Backend Python Frameworks.
- Experience with High-Performance Computing (HPC) Clusters and Orchestration Solutions like Slurm and Kubernetes.
- Understanding of Cloud Services, MLOps, DevOps, SRE, and AI Agentic Tools.
NVIDIA is widely regarded as one of the most desirable employers in the technology world. We have some of the most brilliant and forward-thinking people in the world working for us. If you\’re creative and autonomous, we want to hear from you!
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Seniority level: Mid-Senior level
Employment type: Full-time
Industries: Computer Hardware Manufacturing, Software Development, and Computers and Electronics Manufacturing
Referrals increase your chances of interviewing at NVIDIA by 2x.
Job ID: JR2001636
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Senior Python DL Automation Engineer, Deep Learning Algorithms employer: Nvidia
Contact Detail:
Nvidia Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Python DL Automation Engineer, Deep Learning Algorithms
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your Python projects and deep learning models. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practicing common technical questions and coding challenges. Use platforms like LeetCode or HackerRank to sharpen your skills before the big day.
✨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 passionate candidates like you!
We think you need these skills to ace Senior Python DL Automation Engineer, Deep Learning Algorithms
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Python DL Automation Engineer role. Highlight your Python programming skills and any experience with deep learning algorithms. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your skills can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Relevant Projects: If you've worked on projects related to deep learning or automation, make sure to mention them. We’re keen to see examples of your work that demonstrate your problem-solving skills and creativity in tackling complex challenges.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining our team at NVIDIA!
How to prepare for a job interview at Nvidia
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially in the context of deep learning. Be prepared to discuss your experience with Python programming and system design, as well as any specific libraries or frameworks you've used in your projects.
✨Understand Deep Learning Fundamentals
Since this role focuses on deep learning algorithms, it's crucial to have a solid grasp of the foundations. Be ready to explain concepts like model benchmarking and inference, and how they apply to real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to discuss past challenges you've faced in software development and how you tackled them. Highlight your analytical approach and any data-driven decisions you've made that led to successful outcomes.
✨Communicate Effectively
Strong communication skills are key for this role. Practice articulating your thoughts clearly and concisely, and be open to discussing your documentation practices. This will show that you can collaborate effectively with internal teams and the open-source community.
