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.
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
MUST
- 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
BS/MS in Computer Engineering, Computer Science or equivalent
Luxoft Poland
2000
Luxoft, a DXC Technology Company is a global digital strategy and software engineering firm with over 17,000 international employees within its 58 offices in 29 countries. It is headquartered in Zug, Switzerland.
In January 2019, Luxoft was acquired by U.S. company DXC Technology. Luxoft partnered with LG Electronics to create a next-generation Autonomous Mobility concept vehicle that integrates consumers' personalized digital lifestyles into a driving experience. Luxoft enabled Switzerland's first Blockchain based e-vote platform with the City of Zug and Hochschule Luzern's Blockchain Lab.
Luxoft, a DXC Technology Company is a world-renowned company. It has been present on the Polish market for over 13 years. We have offices in Krakow, Warsaw, Wroclaw, and Gdansk. We employ over 2,000 professional experts carrying out projects for over 100 clients from the financial, automotive, medical, tourist industries, etc. We work for many international clients, including the USA, Great Britain, and Switzerland.
So far, Luxoft Poland has made a name for itself as a company that offers work on innovative projects, we offer various experiences in the field of IT, opportunities for rapid development, an extensive training program, and attractive benefits for employees.
At present, 62% of Luxoft Poland employees come from Poland, and 38% from around 50 countries, including Ukraine, Brazil, India, Turkey, Spain, Portugal, Italy, Romania, USA, etc.
At Luxoft, a DXC Technology Company almost 80 percent of employees are experts with the "Senior" experience level, with at least five years of experience. We care about our employees, so every day we try to provide them with the best possible conditions for work and development.
Technology is our passion! We focus on top engineering talent means that you will be working with the best industry professionals from around the world. Because of that, Luxoft is a global family with an epic atmosphere – we love what we do!