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Compiler Engineer

Acceler8 Talent

United States

Remote

USD 90,000 - 150,000

Full time

30+ days ago

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Job summary

Join a forward-thinking company as a Full Remote Compiler Engineer, where your expertise in LLVM and MLIR will be pivotal in developing cutting-edge hardware AI accelerators. Collaborate with a talented team to design and optimize software that enhances neural net performance on advanced hardware. This role offers a unique opportunity to shape the future of AI technology while working remotely across North America. With a competitive salary, bonus, and equity options, this position is perfect for those looking to make a significant impact in the tech industry.

Qualifications

  • Experience with LLVM/MLIR environments is crucial for this role.
  • Knowledge of deep neural nets and optimization techniques is essential.

Responsibilities

  • Design and develop software for hardware AI accelerators.
  • Identify performance bottlenecks and optimize software mapping.

Skills

LLVM
MLIR
Deep Neural Networks
Optimization Techniques

Job description

We are seeking a Full Remote Compiler Engineer to join a heavily funded ($150m+ Series B) team building next generation hardware AI accelerators for neural net inference.

You’ll join a superb group of Engineers, designing, developing and verifying the software that interacts with the team's chip, working closely with hardware engineering to realize full hardware capability through software engineering. You’ll identify and rectify performance bottlenecks and be vital in building the software that translates a wide range of neural nets into efficient mapping and fast implementations on the accelerator hardware.

We are looking for Compiler Engineers with:

  • Focussed experience on LLVM/MLIR environments
  • Experience building software mapping neural nets onto hardware
  • Demonstrable knowledge of deep neural nets and advanced optimization techniques

Compensation: Competitive base salary and vacation allowance + bonus and equity

Location: Fully Remote across North America

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

Computer Hardware Manufacturing and Technology, Information and Media

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