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NVIDIA
NVIDIA
Sponzor vizuma H1BProizvodnjaUmetna inteligencaZdravstveno varstvo
NVIDIA razvija tehnologije pospešenega računalništva in umetne inteligence, ki se uporabljajo v igrah, podatkovnih centrih, računalništvu v oblaku, zdravstvu, proizvodnji, avtomobilski industriji in robotiki. Njeno delo obsega grafične procesne enote, platforme umetne inteligence, simulacije in rešitve za posamezne panoge, vključno z NVIDIA Omniverse za sodelovalne 3D-delovne tokove, NVIDIA DRIVE za razvoj avtonomnih vozil in NVIDIA Clara za zdravstvene aplikacije. Podjetje združuje velike tehnične ekipe, ki delajo na infrastrukturi in programski opremi za napredno računalništvo, simulacije in analitiko, ki jo poganja umetna inteligenca.
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Delovna mesta v podjetju

Senior Architect, Coding Model Performance and Post-Training at NVIDIA (Remote, US)

Lead performance evaluation and post-training for NVIDIA’s AI models for code generation and software engineering. Develop benchmarks, reward strategies, and scalable training infrastructure.

USZdružene države AmerikeCAKalifornijaCOKolorado
224.000 $ – 431.250 $ / leto
Na daljavoPolni delovni časSeniorZahtevani Jezik: angleščinaArhitekt
Python

Opis

  • Create frameworks to evaluate coding models across code generation, debugging, completion, repository reasoning, and multi-step software engineering tasks.
  • Develop and optimize post-training pipelines using supervised fine-tuning, preference optimization, reinforcement learning, and outcome- or process-based reward modeling.
  • Analyze benchmark results, training dynamics, failure modes, and model behavior to identify improvement opportunities.
  • Improve performance on complex coding tasks through targeted training, reward design, curriculum development, and iterative error analysis.
  • Build scalable, reproducible infrastructure for training experiments, evaluation pipelines, and performance analysis.
  • Work with research scientists, infrastructure engineers, and product teams to turn model insights into production capabilities.

Zahteve

  • Bachelor’s degree or equivalent experience in computer science or AI.
  • At least 12 years of relevant work experience.
  • Strong Python programming skills.
  • Strong knowledge of large language models, transformer architectures, and generative model training and evaluation.
  • Foundational knowledge of reinforcement learning algorithms and implementation, including MDPs, policies, and reward design.
  • Deep knowledge of software engineering fundamentals, code generation, automated testing, and program correctness.
  • A record of leading model development lifecycles, including dataset versioning, experiment tracking, and evaluation pipelines.
  • Experience training or post-training state-of-the-art coding models or models for software engineering agents.
  • Experience with execution-based and verifiable rewards, reward hacking mitigation, and automated code evaluation.
  • Familiarity with coding benchmarks and evaluation environments such as SWE-bench.

Ugodnosti

  • Competitive salary.
  • Comprehensive benefits package.
  • Equity.
  • Benefits for employees and their families.

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