Compiler Engineering Intern / Co-op

Amd

Confirmed live today Low trust
Hybrid

Quick summary

Work type
Hybrid
Location
San Jose, CASanta Clara, CA
Salary
$83,200–$124,800 / yr
Employment
Intern
Posted
56 days ago
Freshness
Confirmed live today
Closes
Sep 1, 2027

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $163k
This role $104k
$67k $231k
below market most similar roles pay here above market

This role pays less than 77% of similar roles. Most pay $111,837–$215,000 — the blue band above. At the midpoint, this role pays about $104k versus about $163k for comparable roles.

Based on 240 similar postings.

Employer

About Amd

AMD (Advanced Micro Devices) is a semiconductor company that develops high-performance processors, graphics cards, and adaptive computing solutions for gaming, data centers, and embedded markets. Industry: Semiconductors

Amd currently has 496 open roles on FindRole.

Listed pay typically runs $172,000–$258,000 across 496 roles with salary data.

Most-posted roles

View all roles at Amd

At a glance

TL;DR · Compiler Engineering Intern / Co-op

The 2027 Masters Compiler Engineering Intern / Co-op will join a groundbreaking engineering team to work on a compiler for the P4 language. This role targets a domain-specific architecture implemented in a family of ASICs. The intern will contribute to the build and development of the compiler, which is based on open-source software including LLVM and P4C. Key responsibilities include collaborating with compiler customers and the dedicated ASIC team while following new software design principles. Candidates should possess proficiency in object-oriented languages, specifically C++, along with coursework or experience in compilers, data structures, and programming languages. Familiarity with GitHub and CI/CD methodologies is also a plus. This position focuses on developing software for specialized hardware architectures within the broader AI ecosystem.

What you'll do

  • Work on a compiler for the P4 language targeting a domain-specific architecture.
  • Contribute to the build and development of the compiler using LLVM and P4C.
  • Implement new and efficient software design principles and methodologies.
  • Collaborate with compiler customers to address their specific needs.
  • Coordinate with the dedicated ASIC team building the target hardware.
  • Utilize object-oriented programming languages, specifically C++, for development tasks.
  • Apply knowledge of data structures and programming languages to compiler projects.

What we're looking for

  • You must be currently enrolled in a Master's program at a US-based university.
  • Your major must be in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
  • You must be able to work full-time (40 hours a week) in a hybrid or onsite structure in San Jose or Santa Clara, CA.
  • Proficiency in object-oriented languages is required, with a preference for C++ (preferred).
  • You should have coursework or previous experience in compilers, data structures, and programming languages.
  • You must be an open-minded teammate capable of working in a geographically dispersed team.
  • Familiarity with GitHub and CI/CD methodologies is a plus (preferred).

More like this

Similar roles

Masters Software Engineer Intern/Co-op

Amd

San Jose, CA +1 67 days ago $83,200–$124,800
C/C++ Python Java Javascript Linux Unix MySQL PostgreSQL MongoDB Azure Django Rails Spring Boot HTML XML XSL Git GitHub Perforce OAuth SSL TLS UML Embedded Systems CPU Architecture
Hybrid

Masters Hardware Engineering Intern/Co-op

Amd

San Jose, CA +1 67 days ago $83,200–$124,800
C/C++ Verilog VHDL Python Perl Ruby MATLAB ASIC design ML AI Circuit Board Layout Signal Integrity Power Design Hardware automation UNIX JTAG Pre-silicon Post-silicon Computer Architecture GPU architecture
Hybrid

Software Engineer Intern/Co-op

Amd

San Jose, CA +1 67 days ago $64,064–$96,096
C/C++ Python Java Javascript Linux Unix MySQL PostgreSQL MongoDB Azure Django Rails Spring Boot HTML XML XSL Git GitHub Perforce OAuth SSL TLS UML Embedded Systems CPU Architecture
Hybrid