Team Product Manager Embedded Payments
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Develop a highly optimized inference framework running on supercomputers and data centers, working on an open-source AI networking library with hardware offloads, GPU kernels, and RDMA. Requires a B.Sc. in Computer Science or equivalent, 6+ years in modern C++/C/Rust, 3+ years Linux development experience, and deep TCP/IP network stack knowledge. Base salary for Level 4 ranges 292,500–507,000 PLN; Level 5 ranges 375,000–650,000 PLN in Poland.
Written from this posting by Neural Jobs AI. The full description is below.
We are looking for an enthusiastic software engineer to join our AI networking acceleration team, to work on a groundbreaking open-source library, using hardware offloads, GPU Kernels and RDMA network cards. Our product is a performance-oriented low-level infrastructure, crafted to change the way inference works.
We thrive as a team in a deeply strong environment, and we're passionate about innovation. The rewards are sweet and include working with some of the brightest people in the industry, an aggressive compensation plan that rewards top performers, and the opportunity to collaborate on products that transform daily the way people work and play.
What you'll be doing:
Developing a highly optimized inference framework
Running on the world’s largest supercomputers and data centers.
The work environment is dynamic and challenging as our employees work on innovative, next-generation products at the forefront of technology in terms of performance, scalability, and features.
What we need to see:
B.Sc. or equivalent experience in Computer Science or Software Engineering
6+ years of experience in modern C++ / C / Rust development
3 years of experience in Linux environment and familiarity with development tools
Deep knowledge of the TCP/IP network stack
Understanding of computer architecture and operating systems concepts
Ways to stand out from the crowd:
Background in Linux internals and low-level software optimizations (benchmarking, bottleneck research, performance tuning)
Experience in programming CUDA kernels is an advantage
Familiarity with ML frameworks and LLMs
Background in parallel programming / high-performance computing / RDMA technology
With competitive salaries and a generous benefits package, we are 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 and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most hard-working and talented people in the world working for us. If you're creative and passionate about developing cloud services we want to hear from you!
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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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