Senior GPU Software Engineer - AI & HPC (ROCm)
Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Sep 22, 2026.
ADVANCE YOUR CAREER. ADVANCE THE WORLD.
At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future.
Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger - technology that moves the world forward. Join us and, together, we’ll advance your career.
Hybrid with up to 3 days per week in office. (Belgrade, Novi Sad, Niš)
THE ROLE
Join AMD's GPU Software team and help shape the future of machine learning and high-performance computing. As a GPU Software Architect, you will play a key role in designing, developing, and optimizing innovative GPU features that power next-generation AI and HPC workloads.
Working across software, machine learning, math libraries, and GPU architecture teams, you will drive feature development from concept through deployment. Your work will span core workloads such as Convolution, GEMM, and Attention, helping deliver high-performance solutions that enable our customers to solve complex challenges at scale.
THE PERSON
We're looking for a collaborative and curious engineer who is passionate about GPU computing, machine learning, and performance optimization. You enjoy solving complex technical problems, learning new technologies, and working with diverse teams to deliver innovative solutions.
Whether your expertise comes from machine learning, HPC, GPU programming, DSP software, AI accelerators, or a combination of these areas, we encourage you to apply if you're excited about advancing high-performance compute software and helping customers achieve exceptional performance with ROCm.
KEY RESPONSIBILITIES
- Design and develop high-performance GPU kernels for machine learning and Convolution workloads using HIP.
- Collaborate with GPU architects to explore, evaluate, and leverage emerging hardware features.
- Analyse, profile, and optimize GPU kernel performance, identifying opportunities for continuous improvement.
- Create technical documentation, share best practices, and support the adoption of new capabilities within ROCm.
- Partner with engineers, researchers, customers, and ecosystem partners to enhance ROCm applications, libraries, tools, and hardware.
PREFERRED QUALIFICATIONS
- Experience with GPU, DSP, AI accelerator, or other parallel compute architectures, performance analysis, algorithm development, and machine learning workloads
- Hands-on experience developing and optimizing GPU software using HIP, CUDA, or similar technologies.
- Understanding of GPU runtimes, compilers, machine learning frameworks, HPC libraries, and performance optimization techniques.
- Knowledge of software engineering best practices, including testing, profiling, debugging, version control, and documentation.
- Strong communication and collaboration skills, with the ability to work effectively across multidisciplinary teams.
EDUCATION & EXPERIENCE
- Bachelor’s degree in computer science, Computer Engineering, or a related technical field.
- Significant experience in GPU software development, machine learning, HPC, or a related domain.
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.
Hybrid with up to 3 days per week in office. (Belgrade, Novi Sad, Niš)
THE ROLE
Join AMD's GPU Software team and help shape the future of machine learning and high-performance computing. As a GPU Software Architect, you will play a key role in designing, developing, and optimizing innovative GPU features that power next-generation AI and HPC workloads.
Working across software, machine learning, math libraries, and GPU architecture teams, you will drive feature development from concept through deployment. Your work will span core workloads such as Convolution, GEMM, and Attention, helping deliver high-performance solutions that enable our customers to solve complex challenges at scale.
THE PERSON
We're looking for a collaborative and curious engineer who is passionate about GPU computing, machine learning, and performance optimization. You enjoy solving complex technical problems, learning new technologies, and working with diverse teams to deliver innovative solutions.
Whether your expertise comes from machine learning, HPC, GPU programming, DSP software, AI accelerators, or a combination of these areas, we encourage you to apply if you're excited about advancing high-performance compute software and helping customers achieve exceptional performance with ROCm.
KEY RESPONSIBILITIES
- Design and develop high-performance GPU kernels for machine learning and Convolution workloads using HIP.
- Collaborate with GPU architects to explore, evaluate, and leverage emerging hardware features.
- Analyse, profile, and optimize GPU kernel performance, identifying opportunities for continuous improvement.
- Create technical documentation, share best practices, and support the adoption of new capabilities within ROCm.
- Partner with engineers, researchers, customers, and ecosystem partners to enhance ROCm applications, libraries, tools, and hardware.
PREFERRED QUALIFICATIONS
- Experience with GPU, DSP, AI accelerator, or other parallel compute architectures, performance analysis, algorithm development, and machine learning workloads
- Hands-on experience developing and optimizing GPU software using HIP, CUDA, or similar technologies.
- Understanding of GPU runtimes, compilers, machine learning frameworks, HPC libraries, and performance optimization techniques.
- Knowledge of software engineering best practices, including testing, profiling, debugging, version control, and documentation.
- Strong communication and collaboration skills, with the ability to work effectively across multidisciplinary teams.
EDUCATION & EXPERIENCE
- Bachelor’s degree in computer science, Computer Engineering, or a related technical field.
- Significant experience in GPU software development, machine learning, HPC, or a related domain.
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.