Senior Research Engineer – Enterprise Products

🕒 July 11

🏄 California, Washington – Remote

🏄 California – Remote ☕ Washington – Remote

💵 $192k - $356.5k / year

⏰ Full Time

🟠 Senior

📚 Research Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 5%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NVIDIA

WebsiteLinkedInAll Job Openings

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.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• eligible for equity and benefits