About Company
NVIDIA is a global leader in accelerated computing, driving innovation in areas like artificial intelligence, high-performance computing, graphics, and autonomous machines. Our pioneering work in GPU technology has transformed industries from gaming and professional visualization to data centers and automotive. At NVIDIA, we’re not just building products; we’re creating the future. We empower researchers, scientists, and developers to tackle the world’s most complex challenges, pushing the boundaries of what’s possible. Join a diverse and dynamic team where creativity, collaboration, and cutting-edge technology converge to make a profound impact on the world.
Job Description
We are seeking an exceptionally talented and highly motivated NVIDIA Systems Engineer to join our innovative team in Belfast, Northern Ireland. This is an immediate hiring opportunity for an individual passionate about high-performance computing, AI, and graphics technologies. As an NVIDIA Systems Engineer, you will play a crucial role in designing, implementing, and optimizing complex systems utilizing NVIDIA’s cutting-edge hardware and software platforms. You will work on critical projects that push the limits of accelerated computing, contributing to solutions that impact various sectors, including scientific research, enterprise data centers, and emerging AI applications. Your responsibilities will span the entire system lifecycle, from initial concept and architecture design to deployment, performance tuning, and ongoing support. This role demands a deep technical understanding of server hardware, GPU architectures, networking, storage, and operating systems, coupled with strong problem-solving skills and a proactive approach to learning new technologies. You will collaborate closely with cross-functional teams, including software developers, hardware engineers, and research scientists, ensuring seamless integration and optimal performance of NVIDIA-powered solutions. If you thrive in a fast-paced environment, are eager to contribute to groundbreaking advancements, and possess a solid background in systems engineering with a focus on NVIDIA technologies, we encourage you to apply. This is a unique chance to shape the future of accelerated computing with a world-renowned leader in the field.
Key Responsibilities
- Design, configure, and deploy high-performance computing (HPC) and AI systems based on NVIDIA GPU technologies.
- Install, upgrade, and maintain NVIDIA drivers, CUDA toolkits, and other software frameworks.
- Optimize system performance for various workloads, including deep learning, scientific simulations, and data analytics.
- Troubleshoot hardware and software issues, providing expert-level support to internal and external teams.
- Develop and maintain documentation for system configurations, operational procedures, and best practices.
- Collaborate with architects and developers to integrate NVIDIA technologies into larger system solutions.
- Stay abreast of the latest NVIDIA hardware and software releases, evaluating their applicability and benefits.
- Participate in capacity planning and performance benchmarking activities.
- Provide technical guidance and training to junior engineers and support staff.
- Contribute to the automation of system deployment and management tasks.
Required Skills
- Strong experience with NVIDIA GPU architectures and CUDA programming model.
- Proficiency in Linux operating systems (e.g., Ubuntu, CentOS, RHEL).
- Solid understanding of server hardware, including CPUs, memory, storage, and networking.
- Experience with system monitoring and performance tuning tools.
- Familiarity with containerization technologies like Docker and Kubernetes.
- Scripting proficiency in Python, Bash, or similar languages.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
Preferred Qualifications
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related technical field.
- Experience with cloud platforms (AWS, Azure, GCP) and GPU instance management.
- Knowledge of high-speed interconnects (e.g., InfiniBand, NVLink).
- Familiarity with machine learning frameworks (TensorFlow, PyTorch).
- Experience with parallel computing and distributed systems.
- NVIDIA certification (e.g., Deep Learning Institute certifications).
Perks & Benefits
- Competitive salary and performance bonuses.
- Comprehensive health, dental, and vision insurance.
- Generous paid time off and flexible working arrangements.
- Employee stock purchase program.
- Opportunities for professional development and continuous learning.
- Access to cutting-edge NVIDIA technology and training resources.
- Pension scheme contributions.
- On-site fitness facilities and wellness programs (where applicable).
- Collaborative and innovative work environment.
- Relocation assistance for eligible candidates.
How to Apply
Interested candidates are invited to submit their application, including a detailed CV and cover letter outlining their experience and qualifications relevant to this role. Please click on the application link below to proceed with your submission directly through our careers portal.