Compiler Engineer - Runtime, C++, Frameworks
📌San Jose, United States 🇺🇸
⏱︎ full-time
🧙♂️ mid-level
We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.
AMD together we advance_
The Role
AMD is looking for a motivated engineer to join a core team of incredibly talented industry specialists working on developing a cutting-edge machine learning model compiler targeting AMD AIE in Ryzen AI PC and embedded FPGA devices. The compiler needs to take a model in ONNX or PyTorch and produce optimized control and executable code for AIE VLIW processor array. Additionally, the compiler needs to handle partitioning between x86/embedded processor/FPGA fabric and AIE and generate code to interface with AMD AIE specific runtime and driver.
The Person
The ideal candidate should be passionate about software development. The candidate should be able to communicate effectively and work optimally with different teams across AMD.
Key Responsibilities
- Integrate compiler and compiled model with ML Frameworks (such as ONNX and PyTorch)
- Implement model partitioning in ML Frameworks and/or MLIR
- Implement runtime to distribute work to and collect results from x86 cores and AIE cores
- Design and develop new groundbreaking AMD technologies
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Debug and fix existing issues and research alternative, more efficient ways to accomplish the same work
- Strong object-oriented programming background, C/C++ and Python
- ML Compiler and Runtime technologies such as MLIR, LLVM
- Compiler building skills
- Code generation for a ML hardware accelerator
- Machine Learning concepts and model development experience
- Understanding of ONNX, PyTorch, etc.
- Ability to write high quality code with a keen attention to detail
- Experience with modern concurrent programming and threading APIs
- Experience with software development processes and tools such as debuggers, source code control systems (GitHub) and profilers is a plus
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Effective communication and problem-solving skills
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Master's or PhD degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent
Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
Senior Embedded Software Engineer
@ Embedd 
What we're looking for
At embedd.it, we power hardware-software integration in embedded devices. We turn fragmented semiconductor chip data into configurable digital twins, then deterministically generate code, tests, and documentation – making integration faster, cheaper, and resilient to supply chain shocks.
We’re looking for a true legend – someone with abstract thinking and deep expertise in low-level software development. You’ll build vendor-agnostic tooling for MCU and peripheral integration to solve hardware-software integration once and for all. We work at the intersection of embedded systems, code generation, compilers, and machine learning. It’s your chance to help redefine how low-level development is done.
Responsibilities
- Drive the architecture of the driver structures and system layout
- Define scalable patterns for cross-architectural integration across bare-metal, Zephyr, Linux, and other environments
- Deconstruct complex SoC device trees and translate hardware descriptions into structured internal models for automated reasoning
- Partner with the ML team to shape data and annotation models for AI-driven data-extraction tooling
Qualifications
- 5+ years of experience in embedded systems development, including bare-metal and RTOS-based systems
- Proficiency in C/C++
- Familiarity with firmware configuration, SoC bring-up, and system-level debugging
- Hands-on experience with code generation tools, or low-level compiler/decompiler/emulator technologies
- Strong background in embedded toolchains: compilers, linkers, debuggers, and build systems
- Python or scripting for automation and tooling is a plus
- Experience with functional-safety standards is a plus
Why embedd.it?
- Dynamic, venture-backed team of engineers challenging the status quo 🚀
- Work at the intersection of embedded systems, code generators, compilers, and ML 🤖
- Unusual challenges requiring out-of-the-box abstract thinking 🧠
- Competitive compensation: cash + equity 💰
- Remote work possible 🌍
About Us
embedd.it is a UK-based startup reinventing embedded development. Our platform transforms unstructured semiconductor data into structured digital twins, enabling automatic generation of drivers, tests, and documentation. We're building a single, traceable source of truth to make integration fast, vendor-agnostic, and future-proof.
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Employment
⏱︎ full-time
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Experience
🧙♂️ mid-level
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Skills
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Industry
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