Annapurna Labs
Technology
SoftwareEngineerII
Neural analysis suggests this role is
optimal for Mid candidates.
“Software Engineer II at Annapurna Labs. Skills: ML Acceleration, Server Software, Systems Software. Develop production software. Initialize machine learning servers”
Industry & Context.
What They're Looking For.
Must Have
3+ years software development experience, 2+ years system design or architecture, Experience programming at least one language
Nice to Have
3+ years full SDLC experience, Bachelor's degree in computer science
What You'll Do.
Develop production software
Initialize machine learning servers
Monitor machine learning servers
Develop software for initialization
Develop software for monitoring
Develop software for debug
Develop software for testing
Develop software for qualification
Develop software for manufacturing
Develop software for accelerator chip initialization
Develop software for clock setup
Develop software for voltage setup
Develop software for system level device drivers
Develop software for I2C infrastructure
Develop software for data paths
Develop software for PCIe
Develop software for SPI
Develop software for I2C
Develop software for accelerator inner-workings
Coordinate software package creation
Enable qualification of software
Enable rapid deployment of software
Develop maintainable software
Develop improved software
Develop documented software
Develop tested software
Develop reusable software
How You'll Work.
Team & Collaboration
MLA Hardware teams; MLA Test teams; MLA Manufacturing teams
Full Job Description
Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago—even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. The Machine Learning Server Software Team is looking for candidates interested in writing data-driven software for our Machine Learning servers. We build production software to initialize and monitor the most advanced machine learning acceleration servers in the world. We touch technologies including accelerator chip initialization, setting up clocks and voltages, to systems level device drivers for I2C infrastructure pervasive in the server and everything in between. Our team does not work on machine learning algorithms, but rather on the physical systems (hardware) which execute and accelerate those machine learning algorithms. Data paths, PCIe, SPI, I2C, accelerator inner-workings are our bread and butter. Come join our team. Key job responsibilities - Member of a team responsible for the software associated with server components and integration in to EC2. - Working with the MLA Hardware, Test and Manufacturing teams to create a coordinated software package to enable both qualification as well as rapid deployment of software. - Developing software (C, C++, Python, Lua) which can be maintained, improved upon, documented, tested, and reused. A day in the life The MLA Systems Software team was formed to focus on server software primarily for initialization, monitoring, debug, testing, qualification, and manufacturing. At a high-level our goal is to find ways to help the organization scale though the use of software and automation. About the team Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that
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