Arm

Graduate ML Software Engineer

Arm
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15 days ago
Lund, SwedenEntry Level

Responsibilities

  • Develop, design, architect, and evaluate new ML software features.
  • Build and enhance ML compilation, runtime, and framework technologies.
  • Work on ML drivers, performance analysis, embedded software, and test automation.
  • Analyze how models execute and identify ways to improve performance and efficiency.
  • Collaborate with ML software and hardware engineers in small, diverse teams.

Requirements

  • Hold or be on track to hold a Master’s or PhD degree in Machine Learning, Electrical Engineering, Engineering Physics, Computer Science, or a similar technical field by the program start date.
  • Have good programming skills in C, C++, and Python.
  • Strong analytical, problem-solving, interpersonal, and collaboration skills.
  • Source control experience with Git, Gerrit, or Repo is beneficial.
  • Experience with ML applications, frameworks, compilers, open source software development, or hardware architecture is beneficial.

Benefits

  • Starting salary of SEK 545,000 at Bachelor level or SEK 555,000 at Master level, with salary progression opportunities and two formal progression reviews each year.
  • Relocation support is available for domestic moves within the country and regional moves within Europe.
  • Visa sponsorship support is available for candidates who require it.
  • Access to Grad-teach-Grads workshops, guest speaker series, social events, the Graduate Committee, and the annual Global Graduate Conference.
  • Hybrid working arrangements are determined by the team, with role-specific details provided during the application process.

Tech Stack

Categories

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About Arm

5,001-10,000 employees

Arm’s foundational technology is defining the future of computing. A future built by the greatest technology ecosystem in the world. A future built on Arm. Arm is everywhere technology matters. Technology matters everywhere. Together, we’ll power every technology revolution moving forward, including cloud computing, automotive and autonomous systems, IoT, the metaverse, and beyond. Changing the world. Again. On Arm.

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