Practical Hardware Electronics Test Engineer
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NVIDIA
NewDesign and develop scalable, high-performance systems for AI infrastructure, collaborating with backend engineers and product managers to build microservices-based architectures on Kubernetes. You'll write clean, maintainable code primarily in Go, conduct code reviews, and mentor team members. This role requires a B.Sc. in Computer Science, 5+ years of backend software development experience, proficiency in Go or another backend language, and deep familiarity with Kubernetes and cloud-native technologies.
Written from this posting by Neural Jobs AI. The full description is below.
Run:ai, now part of NVIDIA, has evolved AI infrastructure by merging GPU virtualization with Kubernetes-native capabilities. Our world class AI platform allows organizations to improve productivity and efficiency for data scientists and machine learning engineers. With deep Kubernetes expertise and a focus on innovation, we are dedicated to developing cutting-edge technologies and delivering the best user experience for our customers. We are looking for highly skilled software engineers to join our Platform Group and help shape the future of AI infrastructure.
The role of a Senior Software Engineer in the Platform Group is to design and develop scalable, high-performance systems that support the next generation of AI workloads. You will collaborate with experts across domains, tackle complex challenges, and drive innovations that empower our users to push the limits of AI capabilities.
What you’ll be doing:
What we need to see:
Ways to stand out from the crowd:
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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NVIDIA builds the GPUs and the CUDA software stack that most modern AI is trained and served on, along with its own research in graphics, robotics and foundation models.
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