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Full-Time

Research/Compiler Engineer

Updated on 10/22/2024

Lightning AI

Lightning AI

1-10 employees

Bulk hospitality supplies with efficient sourcing

Consumer Software
Enterprise Software
AI & Machine Learning

Junior, Mid

Palo Alto, CA, USA

Home office stipend of $1,000 offered.

Category
Embedded Engineering
FinTech Engineering
Software Engineering
Required Skills
CUDA
Pytorch
Requirements
  • Deep experience in PyTorch, JAX, or other deep learning frameworks
  • Experience in developing optimized kernels in CUDA or Triton
Responsibilities
  • Develop the Thunder compiler, an open-source project developed in collaboration with NVIDIA, using your deep experience in PyTorch, JAX, or other deep learning frameworks
  • Engage in performance-oriented model optimizations, around distributed training as well as inference
  • Develop optimized kernels in CUDA or Triton to target specific use-cases
  • Integrate Thunder throughout the PyTorch Lightning ecosystem
  • Engage with the community and champion its growth
  • Support the adoption of Thunder across the industry
  • Work closely within the Lightning team as a strategic partner

The Flying Fork excels in the hospitality industry by specializing in the efficient sourcing and stocking of a wide range of hospitality products, including crockery and cutlery. The company stands out for its fast delivery services and competitive pricing strategies, particularly through bulk purchase discounts. This commitment to operational excellence combined with a focus on accommodating client-specific needs through custom sourcing options makes it an engaging place to work for those interested in supply chain management and customer service in the hospitality sector.

Company Stage

N/A

Total Funding

$59.2M

Headquarters

New York City, New York

Founded

2015

Growth & Insights
Headcount

6 month growth

8%

1 year growth

21%

2 year growth

13%
Simplify Jobs

Simplify's Take

What believers are saying

  • The availability of Lightning AI Studio in AWS Marketplace can lead to greater productivity and faster development times for AI applications.
  • Thunder's ability to significantly speed up training and reduce costs can attract more developers and enterprises to Lightning AI's platform.
  • The strategic collaboration with AWS can provide optimized performance and first-class support, making Lightning AI a preferred choice for building and deploying AI products.

What critics are saying

  • The competitive landscape in AI development platforms is intense, with major players like Google and Microsoft posing significant threats.
  • Dependence on AWS for cloud services could limit flexibility and expose Lightning AI to risks associated with changes in AWS policies or pricing.

What makes Lightning AI unique

  • Lightning AI's integration with AWS Marketplace provides a seamless procurement process and flexible billing options, setting it apart from competitors.
  • The launch of Thunder, a source-to-source compiler for PyTorch, offers up to 40% speed-up in training large language models, a significant advantage over unoptimized code.
  • Strategic collaboration with AWS and support for Amazon EC2 Trn1 instances powered by AWS Trainium accelerators enhances Lightning AI's enterprise-grade cloud-based platform.

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