Principal Compiler Engineer – MLIR & AI Silicon

Ericsson GmbH

Austin, Northern (TX, KY)

Hybrid

USD 150,000 - 230,000

Full time

14 days+
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Job summary

Ericsson in Austin, Texas is seeking a Principal Staff Compiler Engineer to lead the technical direction of a MLIR-based compiler and inference stack for custom AI silicon used in baseband processing. You will design, code, review, and profile critical subsystems while mentoring a growing team.

This hands-on leadership role requires you to ship software and collaborate with hardware architects, runtime developers, and AI researchers to shape both the compiler and the team's approach.

Qualifications

  • Production compiler design experience with hands-on ownership of subsystems.
  • Strong C++ and compiler infrastructure expertise.
  • Hands-on MLIR/LLVM experience at scale.
  • Ability to lead complex technical programs across teams.
  • Experience mentoring senior engineers.

Responsibilities

  • Own the technical direction of the compiler stack across model import, lowering, scheduling, memory planning, and code generation.
  • Design and implement the hardest compiler subsystems, the ones that determine performance and correctness goals.
  • Define MLIR dialect hierarchy, lowering strategy, and pass pipelines in collaboration with the team.
  • Lead hardware-software co-design discussions, partnering with hardware architects to influence ISA, memory hierarchy, and synchronization.
  • Mentor Staff and Senior compiler engineers, and shape technical growth of the team.

Skills

Production compiler
C++
MLIR/LLVM
Leadership
Mentoring
Hardware collaboration

Tools

MLIR
LLVM

Job description

Ericsson in Austin, Texas is seeking a Principal Staff Compiler Engineer to lead the technical direction of a MLIR-based compiler and inference stack for custom AI silicon used in baseband processing. You will design, code, review, and profile critical subsystems while mentoring a growing team.

This hands-on leadership role requires you to ship software and collaborate with hardware architects, runtime developers, and AI researchers to shape both the compiler and the team's approach.

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