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Senior Research Engineer

Job in Coos Bay, Coos County, Oregon, 97458, USA
Listing for: NVIDIA
Full Time position
Listed on 2026-01-13
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 160000 - 299000 USD Yearly USD 160000.00 299000.00 YEAR
Job Description & How to Apply Below

Employer Industry: Technology and Artificial Intelligence

Why consider this job opportunity:
  • Base salary range of $160,000 - $299,000, depending on level and experience
  • Eligibility for equity and comprehensive benefits
  • Opportunity to work on cutting‑edge generative AI projects
  • Collaborative environment with a focus on innovation and open‑source contributions
  • Chance to publish and present research findings at academic and industry conferences
  • Work with some of the most forward‑thinking professionals in the technology sector
What to Expect (Job Responsibilities):
  • Collaborate with applied researchers to design, implement, and test next‑generation reinforcement learning and post‑training algorithms
  • Advance open‑source initiatives by developing NeMo‑RL, Megatron Core, and NeMo Framework
  • Solve large‑scale AI training and inference challenges across the entire model lifecycle
  • Perform performance tuning and optimizations for model training on NVIDIA GPU architectures
  • Engage in publishing and presenting results at relevant conferences
What is Required (Qualifications):
  • BS, MS, or PhD in Computer Science, AI, Applied Math, or related fields, or equivalent experience
  • Minimum of 3 years of proven experience in machine learning, systems, distributed computing, or large‑scale model training
  • Experience with AI frameworks such as PyTorch or JAX
  • Familiarity with inference and deployment environments like vLLM, SGLang, or TRT‑LLM
  • Proficiency in Python programming, including software design, debugging, and performance analysis
How to Stand Out (Preferred Qualifications):
  • Contributions to open‑source deep learning libraries
  • Hands‑on experience in large‑scale AI training and performance analysis
  • Expertise in distributed computing, model parallelism, and mixed precision training
  • Prior experience with Generative AI techniques applied to large language models and multi‑modal learning
  • Knowledge of GPU/CPU architecture and related numerical software
Equal Opportunity Statement:

We prioritize candidate privacy and champion equal‑opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately.
We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top‑tier employer.

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Position Requirements
10+ Years work experience
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