Sign up with

Already have an account? Log in here

Need some help?
Talk to us at +91 7670800001

Member of Technical Staff, Evaluations Engineering at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

26 Feb, 26

Salary

0.0

Posted On

28 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

C, C++, C#, Java, JavaScript, Python, Generative AI, Distributed Computing, Technical Project Leadership, Architectural Decision Support

Industry

Software Development

Description

Develop and tune the pretraining scalable software for Nvidia GB200 72NVL CX8 and AMD MIxxx architectures. Benchmark GB200 and AMD MIxxx GPU clusters. Gather data and insights to develop the pretraining compute roadmap. Care deeply about conversational AI and its deployment. Actively contribute to the development of AI models that are powering our innovative products. Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively. Enjoy working in a fast-paced, design-driven, product development cycle. Embody our Culture and Values. Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Experience with generative AI. Experience with distributed computing. Experience in leading technical projects and supporting architectural decisions with data.

Responsibilities

Develop and tune pretraining scalable software for Nvidia and AMD architectures. Benchmark GPU clusters and gather insights to develop the pretraining compute roadmap.