WHAT YOU DO AT AMD CHANGES EVERYTHING
At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond.Together, we advance your career.
We are seeking an Embedded Software Engineer to join AMD’s Customer eXperience Engineering (CXE) team within the Embedded Computing Group. This team plays a strategic role in shaping AMD’s next generation of Embedded and AI technologies by working closely with customers and internal product teams.
As part of CXE, you will act as “Customer Zero”, developing industrial proof‑of‑concept system solutions on upcoming Embedded platforms. You will contribute a customer‑focused perspective that helps inform the design of future silicon, software, and developer tools.
You will join an embedded software team delivering platforms that enable a wide range of embedded systems, including Automotive, Robotics, Industrial, and AI‑focused solutions. The role combines hands‑on embedded software development, system‑level thinking, and collaboration across hardware, software, and AI teams.
This position offers exposure to the full embedded software and firmware lifecycle, working on real‑time, safety‑aware, and resource‑constrained systems that span silicon, firmware, operating systems, middleware, and AI/runtime stacks.
You will work alongside a diverse and experienced engineering team, with strong opportunities for learning, mentoring, and career development aligned to your experience level.
Key Responsibilities
Depending on experience, responsibilities may include some or all of the following:
1. Design, develop, and deliver embedded software solutions on embedded Linux and/or RTOS platforms
2. Implement and integrate AI‑enabled applications on embedded systems
3. Contribute to system‑level design decisions, balancing latency, power, memory, performance, and reliability
4. Integrate and optimize AI/ML workloads such as inference pipelines, sensor fusion, and control loops
5. Support debugging, performance analysis, and root cause investigations across the hardware/software stack
6. Collaborate with cross‑functional teams spanning silicon, firmware, tools, OS, middleware, and AI
7. Share technical knowledge within the team and contribute to engineering best practices
Technical Skills & Experience
We welcome candidates across experience levels. Relevant skills may include:
8. Embedded software development using C/C++, Python, or similar languages
9. Experience working in a Linux-based development environment
10. Familiarity with embedded Linux, modern software engineering practices, and toolchains
11. Understanding of embedded processors such as ARM and/or Embedded x86
12. Exposure to system‑level software development, from architecture and design through implementation and validation
13. Ability to work independently as well as collaboratively within a team
14. Effective written and verbal communication skills
Experience with AI‑assisted development tools (e.g., Copilot, Claude Code, Cursor, or similar) is beneficial but not required.
Nice to Have / Optional Experience
15. Multithreaded, real‑time, or safety‑critical software architectures
16. RTOS development (e.g., Zephyr, FreeRTOS) or real‑time Linux
17. Linux kernel or low‑level system development (e.g., drivers, Yocto, BitBake)
18. AI/ML optimization on embedded or resource‑constrained platforms
19. Mentoring or technical leadership experience
Qualifications
20. Bachelor’s or Master’s degree in Computer Engineering, Computer Science, Electrical Engineering, or a related discipline (or equivalent practical experience)
#LI-DH1
#LI-HYBRID
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.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
This posting is for an existing vacancy.
We are seeking an Embedded Software Engineer to join AMD’s Customer eXperience Engineering (CXE) team within the Embedded Computing Group. This team plays a strategic role in shaping AMD’s next generation of Embedded and AI technologies by working closely with customers and internal product teams.
As part of CXE, you will act as “Customer Zero”, developing industrial proof‑of‑concept system solutions on upcoming Embedded platforms. You will contribute a customer‑focused perspective that helps inform the design of future silicon, software, and developer tools.
You will join an embedded software team delivering platforms that enable a wide range of embedded systems, including Automotive, Robotics, Industrial, and AI‑focused solutions. The role combines hands‑on embedded software development, system‑level thinking, and collaboration across hardware, software, and AI teams.
This position offers exposure to the full embedded software and firmware lifecycle, working on real‑time, safety‑aware, and resource‑constrained systems that span silicon, firmware, operating systems, middleware, and AI/runtime stacks.
You will work alongside a diverse and experienced engineering team, with strong opportunities for learning, mentoring, and career development aligned to your experience level.
Key Responsibilities
Depending on experience, responsibilities may include some or all of the following:
21. Design, develop, and deliver embedded software solutions on embedded Linux and/or RTOS platforms
22. Implement and integrate AI‑enabled applications on embedded systems
23. Contribute to system‑level design decisions, balancing latency, power, memory, performance, and reliability
24. Integrate and optimize AI/ML workloads such as inference pipelines, sensor fusion, and control loops
25. Support debugging, performance analysis, and root cause investigations across the hardware/software stack
26. Collaborate with cross‑functional teams spanning silicon, firmware, tools, OS, middleware, and AI
27. Share technical knowledge within the team and contribute to engineering best practices
Technical Skills & Experience
We welcome candidates across experience levels. Relevant skills may include:
28. Embedded software development using C/C++, Python, or similar languages
29. Experience working in a Linux-based development environment
30. Familiarity with embedded Linux, modern software engineering practices, and toolchains
31. Understanding of embedded processors such as ARM and/or Embedded x86
32. Exposure to system‑level software development, from architecture and design through implementation and validation
33. Ability to work independently as well as collaboratively within a team
34. Effective written and verbal communication skills
Experience with AI‑assisted development tools (e.g., Copilot, Claude Code, Cursor, or similar) is beneficial but not required.
Nice to Have / Optional Experience
35. Multithreaded, real‑time, or safety‑critical software architectures
36. RTOS development (e.g., Zephyr, FreeRTOS) or real‑time Linux
37. Linux kernel or low‑level system development (e.g., drivers, Yocto, BitBake)
38. AI/ML optimization on embedded or resource‑constrained platforms
39. Mentoring or technical leadership experience
Qualifications
40. Bachelor’s or Master’s degree in Computer Engineering, Computer Science, Electrical Engineering, or a related discipline (or equivalent practical experience)
#LI-DH1
#LI-HYBRID
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.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
This posting is for an existing vacancy.