Software Developer Test Engineer (Linux/Opensource) Job Listing at AMD in Serbia (Job ID 63107-en-us)

Description

WHAT YOU DO AT AMD CHANGES EVERYTHING

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_

Smart and creative self-starter with excellent communication skills along with a passion for solving complex problems and capable of working across teams transparently. The successful candidate will be responsible for designing and developing a robust scripts and framework to facilitate the testing of machine learning models. You should have a strong background in applying and using machine learning models, data structures, scripting in Bash shell, Python, PowerShell or other relevant scripting languages to accelerate automation.  Exposure to computer architecture, operating systems internals, statistics, and mathematics is very relevant. The candidate should also have a solid understanding of SW quality and processes.

We are seeking a highly skilled candidate who possesses significant exposure and a deep understanding of open source environments. 

KEY RESPONSIBILITIES

• Participate in product and software requirement reviews with engineering teams.

• Implement test scripts and modules to evaluate chip performance, power consumption, and reliability.

• Monitor inference and training performance and power consumption across stack versions and hardware IPs by defining and tracking verification metrics.
• Research verification methodologies to improve automation, productivity, and efficiency.
• Collaborate with teams across multiple geographic locations.

• Work in multiple environments which involves Hypervisors, Containers, Linux, Windows

• Document the framework architecture, design decisions, and usage guidelines.

• Stay abreast of the latest AI technologies, emerging tools, and industry best practices.

• Utilize open-source knowledge to support and improve software development processes.

 PREFERRED EXPERIENCE & SKILLS

• Strong Computer Science fundamentals and problem-solving skills
• Strong programming skills in at least two of the following scripting languages: Python, Javascript, Bash, PowerShell
• Strong understanding of applied machine learning using current ML Frameworks: Pytorch, Tensorflow, ONNX, JAX, CNTK, R, etc.; Exposure to C/C++, Go, Rust a plus
• Strong understanding of applied machine learning using ML models:
• Stable diffusion, llama, whisper, Bert, resnet
• Good understanding of multi-core compute hardware and device driver fundamentals
• Good knowledge of computer virtualization technologies: Hyper-V, KVM, LXC, Docker, K8, etc.
• Proven experience and understanding of various open source platforms and technologies.
• Good knowledge and experience working with OS SDK/developer tools in Linux, Windows
• 4+ years of relevant experience

EDUCATION

• BS/MS in Computer Engineering, Computer Science or equivalent

#LI-HS3
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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.