
10,000+ employees
Founded 1993
🏥 Healthcare
🏭 Manufacturing
🤖 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.
🕒 July 11
🏄 California, Washington – Remote
💵 $192k - $356.5k / year
⏰ Full Time
🟠 Senior
📚 Research Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 21%
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10,000+ employees
Founded 1993
🏥 Healthcare
🏭 Manufacturing
🤖 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.
• Design and evaluate routing policies for LLM traffic to best use mixture of model systems. • Build and run agentic benchmarks (e.g., Terminal-Bench ) to measure algorithm quality, and turn results into calibration data and routing profiles. • Ship to an open-source repo: design docs, code review, docs, and community contributions. • Collaborating with engineering teams across all of NVIDIA to ensure our software integrates seamlessly up and down the NVIDIA accelerated serving stack.
• Bachelor's of Master's degree in Computer Science or equivalent experience. • 8+ years of industry experience in Deep Learning frameworks (PyTorch or TensorFlow). • Experience designing or running LLM evaluations/benchmarks — ideally agentic ones — and drawing statistically sound conclusions from them. • Understanding of modern techniques in Machine Learning, Deep Neural Networks, Natural Language Processing, or Speech Recognition. • Empirical research mindset: forming hypotheses about new algorithms, running calibrations, iterating on results. • Strong communication and interpersonal skills, along with the ability to work in a dynamic and distributed team. • A history of mentoring junior engineers and interns is a huge plus. • A desire to constantly grow and learn new things. • Strong computer science fundamentals - algorithms and data structures, computational complexity, parallel and distributed computing, system software.
• eligible for equity and benefits
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