
10,000+ employees
Founded 1993
đĽ Healthcare
đ Manufacturing
đ¤ Artificial Intelligence
Healthcare ⢠Manufacturing ⢠Artificial Intelligence
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
đĽ 1 minute ago
đ Poland, Switzerland, +3 more countries â Remote
đľ zĹ292.5k - zĹ650k / year
â° Full Time
đ Senior
đ§âđť Full-stack Engineer
đť Ghost score 1%
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10,000+ employees
Founded 1993
đĽ Healthcare
đ Manufacturing
đ¤ Artificial Intelligence
Healthcare ⢠Manufacturing ⢠Artificial Intelligence
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
⢠Play meaningful role in NVIDIA's effort in contributing to JAX ⢠Design and implement JAX core components and drive peak performance on NVIDIA products ⢠Work with AI applied researchers and leaders to build future-proof models ⢠Build tools that will increase the efficiency of teams developing AI-based systems ⢠Bridge the gap between numerical computing, simulation and deep learning research and real-world product applications
⢠BS in Computer Science or Computer Engineering or related field (or equivalent experience) ⢠6+ years relevant experience ⢠C/C++ and Python programming ⢠Experience with machine learning frameworks and their internals (e.g. PyTorch, TensorFlow, scikit-learn, etc.) ⢠Proven ability developing customer-facing solutions, balancing feature requests and bugs ⢠Proven technical foundation in CPU and GPU architectures, numeric libraries, modular software design ⢠Highly motivated with excellent verbal and written communication skills ⢠Ability to work successfully with multi-functional teams, principles and architects ⢠Coordinates effectively across organizational boundaries and geographies ⢠Understanding of JAX, Autograd, tracing, code generation and DSL compilers and their design ⢠Understanding of deep learning training in distributed contexts: multi-GPU, multi-node, synchronous vs asynchronous ⢠Background with software shipping cycles (dev, deploy, release, CI) ⢠Experience building distributed systems and services at large scale
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