Software Quality Assurance Engineer in POLAND

Would You like to become a part of Luxoft Team? If yes, this opportunity might be for You!

What do we offer our Employees?

 Online recruitment process and onboarding trainings

 LuxMed health & dental care, life insurance

 MyBenefit program (sports card, well-being program etc.)

 Relocation support with Family coverage

 Equipment such as a laptop and monitor

 Corrective Glasses reimbursement

 Special offer of Banking Services

 Preferential Car Leasing offer

 Paid Referrals

 LuxTalent platform (webinars, training, courses with certificates)

@gsikora

Project Description:

Join a dynamic and innovative team that is pushing the boundaries of technology in the field of machine learning and AI. We are working on cutting-edge software and hardware integration projects, focusing on optimizing performance, enhancing power efficiency, and ensuring the highest standards of software quality. You will be part of a global team, contributing to the development and testing of AI-based inference software and machine learning models.

Responsibilities:

Participate in product and software requirement reviews with engineering teams

Design, develop, execute, and maintain tests for inference and machine learning software stack based on product requirements and microarchitectural specifications

Develop and craft detailed test plans based on microarchitectural specifications and drive test plan reviews with software engineering teams

Monitor inference and training performance, as well as power consumption across various stack versions and hardware IPs, by defining and tracking verification metrics

Research and implement verification methodologies to enhance automation, productivity, and efficiency

Collaborate with teams across multiple geographic locations

Work in diverse environments including Hypervisors, Containers, Linux, and Windows

Develop and deliver training materials on new features and test methodologies

Stay updated on the latest AI technologies, emerging tools, and industry best practices

Mandatory Skills Description:

• 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, CNTK, R, etc.; Exposure to C/C++, Go, Rust a plus

• Good understanding of multi-core compute hardware and device driver fundamentals

• Good knowledge of computer virtualization technologies: Hyper-V, KVM, LXC, Docker, K8, etc.

• Good knowledge and experience working with OS SDK/developer tools in Linux, Windows

• 4+ years of relevant experience

Nice-to-Have Skills Description:

BS/MS in Computer Engineering, Computer Science or equivalent

Languages:

English: B2 Upper Intermediate