Senior Research Engineer – Enterprise Products

🔥 0 minutes ago

🏄 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.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

Artificial Intelligence • Gaming • Automotive

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