AMD
Distributed Training Validations and Automation Engineer
AMD, San Jose, California, United States, 95199
Distributed Training Validations and Automation Engineer
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This range is provided by AMD. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
What You Do at AMD 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.
The Role AMD is looking for an AI solutions validation Engineer who is passionate about complex AI solutions, AI infrastructure, building cluster scale automation for distributed training and inference workloads, MLOps. You will be a member of a core team of incredibly talented industry specialists and will work with the very latest hardware and software technology.
The Person The ideal candidate should be passionate about software engineering, system design, validation, automation and possess leadership skills to drive sophisticated issues to resolution. Able to communicate effectively and work optimally with different teams across AMD.
Key Responsibilities
Work with AMD’s architecture specialists to validate AI solutions for distributed training and inference workloads with AMD's ROCM software
Build cluster scale automation for distributed training and inference workloads
Publish reference designs and benchmark numbers for AI workloads
Apply a data‑minded approach to target optimization efforts
Design and develop new groundbreaking AMD technologies
Participate in new ASIC and hardware bring‑ups
Develop technical relationships with peers and partners
Preferred Experience
Good experience with complex compute systems used in AI, HPC deployments, backend network designs in RDMA clusters
Experience in validating complex AI infrastructure – GPUs, networking, ROCEv2, UEC, running benchmark tests like IBPerf benchmarking, RCCL/NCCL
Experience with running training of LLMs, MoE models, image generation, recommendation models with different frameworks like PyTorch, TensorFlow, Megatron‑LM, JAX. Running training performance benchmarks
Experience with running inference workloads in AI clusters with different inference frameworks like vLLM, SGLang. Running performance benchmarks for inference
Experience with distributed systems and schedulers like Kubernetes, Slurm
Ability to write high quality automation frameworks and scripts using Python or Golang
Experience with performance profiling of CPUs, GPUs and debugging complex compute, network, storage problems
Experience with AMD ROCM would be an added advantage
Experience with Linux, Windows operating systems
Effective communication and problem‑solving skills
Preferred Academic Credentials
Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent
Benefits Benefits offered are described: AMD benefits at a glance.
Equal Opportunity 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.
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This range is provided by AMD. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
What You Do at AMD 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.
The Role AMD is looking for an AI solutions validation Engineer who is passionate about complex AI solutions, AI infrastructure, building cluster scale automation for distributed training and inference workloads, MLOps. You will be a member of a core team of incredibly talented industry specialists and will work with the very latest hardware and software technology.
The Person The ideal candidate should be passionate about software engineering, system design, validation, automation and possess leadership skills to drive sophisticated issues to resolution. Able to communicate effectively and work optimally with different teams across AMD.
Key Responsibilities
Work with AMD’s architecture specialists to validate AI solutions for distributed training and inference workloads with AMD's ROCM software
Build cluster scale automation for distributed training and inference workloads
Publish reference designs and benchmark numbers for AI workloads
Apply a data‑minded approach to target optimization efforts
Design and develop new groundbreaking AMD technologies
Participate in new ASIC and hardware bring‑ups
Develop technical relationships with peers and partners
Preferred Experience
Good experience with complex compute systems used in AI, HPC deployments, backend network designs in RDMA clusters
Experience in validating complex AI infrastructure – GPUs, networking, ROCEv2, UEC, running benchmark tests like IBPerf benchmarking, RCCL/NCCL
Experience with running training of LLMs, MoE models, image generation, recommendation models with different frameworks like PyTorch, TensorFlow, Megatron‑LM, JAX. Running training performance benchmarks
Experience with running inference workloads in AI clusters with different inference frameworks like vLLM, SGLang. Running performance benchmarks for inference
Experience with distributed systems and schedulers like Kubernetes, Slurm
Ability to write high quality automation frameworks and scripts using Python or Golang
Experience with performance profiling of CPUs, GPUs and debugging complex compute, network, storage problems
Experience with AMD ROCM would be an added advantage
Experience with Linux, Windows operating systems
Effective communication and problem‑solving skills
Preferred Academic Credentials
Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent
Benefits Benefits offered are described: AMD benefits at a glance.
Equal Opportunity 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.
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