Sr. Technical Program Manager - AI/ML Hardware, Annapurna Labs - Server & Rack Delivery - Trainium Hardware

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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Relocation assistance

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Salary

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Market context

Median wage (BLS OEWS)

$116,543 national median

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

50% above the BLS national median for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work

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Application

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Assessment

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About this role

Sr. Technical Program Manager - AI/ML Hardware, Annapurna Labs - Server & Rack Delivery - Trainium Hardware Austin, Texas, USA In Annapurna Labs we are at the forefront of hardware/software accelerator solutions for not only Amazon Web Services (AWS), but across the industry. The Machine Learning Component, Server and Rack delivery team is looking for candidates interested in diving deep into our designs of Machine Learning servers and developing world class hardware to support current and future generations of accelerator silicon. Our team designs and builds Annapurna's fleet of Accelerated Servers using Internally designed silicon We solve systemic hardware issues and we build hardware and software systems to detect and mitigate future recurrences so that our our customers can experience the highest quality of service possible! You will be responsible for program managing the design and implementation of a new generation of servers or a core resuable component used across multiple generations of servers in the Annapurna fleet. You will be responsible for development of individual boards, managing third party ODM's, integrating components from within and outside of amazon and integrating firmware/software stacks ontop of the hardware to produce high quality designs for our customers. We are seeking an experienced TPM to help drive solutions in the highly technical machine learning server hardware space. Our team has end to end ownership of some of the most advanced server hardware in the world. Come join us! Key job responsibilities You will work closely with our customers to understand their technical needs

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