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Rivian

Makes electric pickups, SUVs and delivery vans

Staff Engineer - ML Training and Infrastructure - AI Infrastructure, Autonomy

Applied Machine LearningUpdated on Nov 12
Full-timeLondon, UKNo salary listedIn-person

About the Job

Requirements

  • A PhD in Computer Science, Computer Engineering, or Electrical Engineering, or equivalent industry experience.
  • Deep knowledge of PyTorch, TensorFlow, or JAX.
  • Knowledge of model training frameworks.
  • In-depth knowledge of transformer architecture and methods for accelerating transformer model training and inference.
  • Experience performing large-scale distributed model training.
  • A track record of profiling models and improving model training and inference speed.

Responsibilities

  • Optimize the performance of deep learning training workloads on NVIDIA GPU systems at large scale.
  • Optimize model inference latency and model pre-processing and post-processing on onboard systems.
  • Design, train, and deploy large deep learning models that leverage labeled and unlabeled data.
  • Define cross-team technical strategies, coding paradigms, and engineering best practices to elevate the technical baseline.
  • Benchmark and introduce modern technical tools, frameworks, and architectural patterns.

About the Company

Rivian

Makes electric pickups, SUVs and delivery vans

Rivian designs and builds electric pickup trucks, SUVs, and delivery vans, pairing off-road ability with electronics and software it develops itself. In 2021, its R1T became the first fully electric pickup truck on the US consumer market, ahead of larger rivals such as Ford and Tesla. It makes the R1T pickup, the R1S and R2 SUVs, and commercial vans in Normal, Illinois, and sells them directly online and in its own stores rather than through dealers. Its vehicles run on Rivian's own software, which gains features through updates sent over the internet, and most revenue comes from vehicle sales, with service and optional software adding more. Rivian was founded in 2009 and is based in Irvine, California.

Company size
10,001+
Company stage
IPO
Headquarters
Irvine, CA
Founded
2009

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