Nvidia DGX Software Engineer

TMS LLC · Remote

Company

TMS LLC

Location

Remote

Type

Full Time

Job Description

Company Description

Role: Nvidia DGX Software Engineer

Location: Remote (Anywhere in the World)

Duration: 12+ Months

 



Position Overview: We are looking for a talented software engineer to join our team specializing in Nvidia DGX systems. The successful candidate will be responsible for developing and optimizing software solutions for deep learning and data analytics workflows on Nvidia DGX platforms. This role offers an exciting opportunity to work on cutting-edge technologies and collaborate with leading experts in the field.

Key Responsibilities:

  • Design, develop, and optimize software applications for Nvidia DGX systems, focusing on deep learning frameworks, data analytics tools, and system management utilities.
  • Collaborate with research scientists, data scientists, and other stakeholders to understand requirements and design efficient solutions.
  • Perform benchmarking, profiling, and optimization of software to maximize performance and scalability on Nvidia DGX hardware.
  • Contribute to open-source projects and participate in the Nvidia developer community.
  • Stay current with advancements in deep learning, data analytics, and Nvidia GPU technologies.

Qualifications:

  • Bachelor's degree in computer science, engineering, or a related field. Advanced degree preferred.
  • Solid programming skills in Python, C/C++, and/or other relevant languages.
  • Experience with deep learning frameworks such as TensorFlow, PyTorch, and MXNet.
  • Familiarity with data analytics tools such as Apache Spark, Hadoop, and Dask.
  • Strong understanding of parallel computing concepts and GPU programming models.
  • Excellent problem-solving and communication skills.
  • Ability to work both independently and collaboratively in a dynamic environment.

Preferred Qualifications:

  • Experience with Nvidia DGX systems and related software stack.
  • Knowledge of containerization technologies such as Docker and Singularity.
  • Familiarity with cloud computing platforms and services.
  • Contributions to open-source projects or community involvement in relevant technical forums.


Additional Information

All your information will be kept confidential according to EEO guidelines.

Apply Now

Date Posted

04/25/2024

Views

5

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