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
- AI Performance Engineers focus on optimizing machine learning models, profiling, bottleneck analysis, and optimal mapping to GPUs.
- As an AI Performance Engineer, you will analyze and explore recent ML models, understand their compute and memory requirements, and optimize them on various compute hardware for both inference and training.
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In addition, you will profile and analyze various workloads on current hardware and come up with new ways to improve their performance.
- The position is part of the robotics workstream at AMD Silo AI’s R&D and Models unit.
- Collaborate with robotics AI developers and domain experts to communicate and understand the requirements.
- Work with multiple teams located in Finland locally and internationally in the organization
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Communicate with clients to explain performance bottlenecks and resolutions
- Benchmark, analyze, and optimize performance of key machine learning applications, on single and multi-GPU systems
- Design, implement, and test GPU kernels and algorithms for tensor operations like matrix multiplication and convolutions used in a variety of high-performance machine learning libraries and frameworks
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Deliver high-quality code and documentation following best practices for open-source software development
- The ideal candidate will have strong experience with software optimization, GPU programming, hardware architecture, and simulation engines. Passionate of getting the best performance out of various hardware’s under different tradeoffs.
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If you are passionate about performance optimization, getting the best out of hardware, and shaping the future AI performance, then this role is for you.
- Understanding of GPU architectures and low-level optimization techniques, memory hierarchy, instruction scheduling, and performance tradeoffs
- GPU software development using HIP, CUDA, or OpenCL
- In-depth knowledge of best practices in software development, including testing, profiling, debugging, documentation, version control, issue tracking, and planning
- Experience with Python programming
- Experience in PyTorch, JAX, Triton, torchtune
- Experience in high-performance computing (HPC)
- Strong written and spoken English language skills (our company language)
- Experience with Docker, Containers, Kubernetes components & subsystems
- BSc, MSc, PhD or equivalent experience in Computer Science, Electrical Engineering or a related field
- Good to have but not required experience with C++.
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Good to have experience with Megatron-LM, Mosaic-ML llm-foundry
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
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