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- Tasks: Engage with partners to solve performance issues and develop tools for groundbreaking GPU clusters.
- Company: NVIDIA, a leader in AI and High-Performance Computing.
- Benefits: Competitive salary, extensive benefits, and a flexible work environment.
- Other info: Dynamic workplace promoting diversity, inclusion, and career growth.
- Why this job: Join a team pushing the boundaries of technology and make a real impact.
- Qualifications: 5+ years in software engineering with strong C/C++ skills and HPC experience.
The predicted salary is between 60000 - 80000 £ per year.
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars.
What You Will Be Doing
- Engage with our partners and customers to root cause functional and performance issues reported with NCCL.
- Conduct performance characterization and analysis of NCCL and DL applications on groundbreaking GPU clusters.
- Develop tools and automation to isolate issues on new systems and platforms, including cloud platforms (Azure, AWS, GCP, etc.).
- Guide our customers and support teams on HPC knowledge and standard methodologies for running applications on multi-node clusters.
- Document and conduct trainings/webinars for NCCL.
- Engage with internal teams in different time zones on networking, GPUs, storage, infrastructure and support.
What We Need To See
- B.S./M.S. degree in CS/CE or equivalent experience with 5+ years of relevant experience.
- Experience with parallel programming and at least one communication runtime (MPI, NCCL, UCX, NVSHMEM).
- Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design.
- Experience working with engineering or academic research community supporting HPC or AI.
- Practical experience with high performance networking: Infiniband/RoCE/Ethernet networks, RDMA, topologies, congestion control.
- Expert in Linux fundamentals and a scripting language, preferably Python.
- Familiar with containers, cloud provisioning and scheduling tools (Docker, Docker Swarm, Kubernetes, SLURM, Ansible).
- Adaptability and passion to learn new areas and tools.
- Flexibility to work and communicate effectively across different teams and time zones.
Ways To Stand Out From The Crowd
- Experience conducting performance benchmarking and developing infrastructure on HPC clusters.
- Prior system administration experience, especially for large clusters.
- Experience debugging network configuration issues in large scale deployments.
- Familiarity with CUDA programming and/or GPUs.
- Good understanding of Machine Learning concepts and experience with Deep Learning Frameworks such as PyTorch, TensorFlow.
- Deep understanding of technology and passionate about what you do.
NVIDIA is at the forefront of breakthroughs in Artificial Intelligence, High-Performance Computing, and Visualization. Our teams are composed of driven, innovative professionals dedicated to pushing the boundaries of technology. We offer highly competitive salaries, an extensive benefits package, and a work environment that promotes diversity, inclusion, and flexibility. As an equal opportunity employer, we are committed to fostering a supportive and empowering workplace for all.
Senior System Software Engineer, NCCL - Partner Enablement employer: NVIDIA AI
Contact Detail:
NVIDIA AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior System Software Engineer, NCCL - Partner Enablement
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at NVIDIA or similar companies. Use LinkedIn to connect and engage with them; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or contributions to open-source software, make sure to highlight them. This is your chance to demonstrate your expertise in C/C++, parallel programming, and HPC.
✨Tip Number 3
Prepare for technical interviews by brushing up on your problem-solving skills. Practice coding challenges and be ready to discuss your past experiences with performance analysis and debugging. We want to see how you tackle real-world issues!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at NVIDIA and contributing to groundbreaking tech.
We think you need these skills to ace Senior System Software Engineer, NCCL - Partner Enablement
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in parallel programming, C/C++, and any relevant HPC or AI experience. We want to see how you fit into our world!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background aligns with our mission at NVIDIA. Let us know what excites you about working with cutting-edge technology.
Showcase Your Projects: If you've worked on projects related to HPC, AI, or performance benchmarking, make sure to include them! We love seeing real-world applications of your skills, so don’t hold back on sharing your achievements.
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 follow the prompts!
How to prepare for a job interview at NVIDIA AI
✨Know Your Tech Inside Out
Make sure you brush up on your C/C++ programming skills and be ready to discuss parallel programming concepts. Familiarise yourself with communication runtimes like NCCL and MPI, as well as high-performance networking technologies. Being able to talk confidently about these topics will show that you're not just a candidate, but a knowledgeable expert.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've successfully identified and resolved performance issues in HPC or AI applications. Think of scenarios where you used tools for debugging or performance analysis. This will demonstrate your hands-on experience and ability to tackle real-world challenges.
✨Engage with the Interviewers
Don't just wait for questions; engage with your interviewers by asking insightful questions about their current projects or challenges. This shows your genuine interest in the role and helps you understand how you can contribute to their goals. Plus, it makes the conversation more dynamic!
✨Demonstrate Your Adaptability
Highlight your experience working across different teams and time zones. Share examples of how you've adapted to new tools or technologies, especially in cloud environments like AWS or Azure. This will illustrate your flexibility and eagerness to learn, which are key traits for success in a fast-paced environment like NVIDIA.