Annapurna Labs
Software Development, Cloud Computing
Sr.SoftwareDevelopmentEngineer,Cloud-ScaleMachineLearningAcceleration
Neural analysis suggests this role is
optimal for Senior candidates.
“Sr. Software Development Engineer, Cloud-Scale Machine Learning Acceleration at Annapurna Labs. Skills: Machine Learning Acceleration, Cloud-Scale, Server Development, Software Automation. Enable scalability of server development. Enable scalability of server test”
Industry & Context.
Complex system problems; Debugging
What They're Looking For.
Must Have
5+ years software development experience, 5+ years programming experience, 5+ years leading design or architecture, 5+ years full software development life cycle, Experience as a mentor, Experience as a tech lead, Experience leading an engineering team
Nice to Have
Bachelor's degree in computer science, Knowledge of I2C interfaces, Knowledge of SPI interfaces, Exposure to device drivers, Exposure to device trees, Knowledge of Linux system programming, Experience leading a small team, Experience with automated CI/CD, Experience with build systems
What You'll Do.
Enable scalability of server development
Enable scalability of server test
Enable scalability of server deployment
Leverage software for scalability
Leverage automation for scalability
Create abstractions for mocking
Create reusable services
Write software for server life-cycle
Mitigate hardware failures
Mitigate software failures
Work with accelerator inner-workings
Work with I2C infrastructure
How You'll Work.
Team & Collaboration
Cross-functional teams; Engineering teams
Full Job Description
In Annapurna Labs we are at the forefront of hardware/software co-design not just in Amazon Web Services (AWS) but across the industry. The Machine Learning Server Software Team is looking for candidates who put PC’s together not only for fun but push that machine to its limits and work through the problems they encounter to build the most amazing rig ever seen on social media. Our mission is to enable scalability of server development, test, and deployment by leveraging software and automation. Abstractions to allow mocking for CI? We do that. Data lakes of telemetry and manufacturing data? We do that. Reusable services for bring up and manufacturing? We do that. Awesome things you suggest? We can do that. We do bring up, debug systems, and write software which is leveraged at all phases of the server life-cycle; from manufacturing to fleet deployment. How far can you push the most innovative hardware platforms in EC2? Come find out. Key job responsibilities In this role you should expect to work through complex system related problems at AWS scale. What was MTBF is really "how many will fail today?" Our software needs to detect, suggest repairs, and impact mission mode software and hardware for mitigation. We touch technologies from the accelerator inner-workings to the I2C infrastructure pervasive in the server and everything in between. We are hardware-oriented but Computer Scientists by training. An interest in hardware is necessary, but knowledge of circuit design is not. A day in the life Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership
Applying for this Sr. Software Development Engineer, Cloud-Scale Machine Learning Acceleration role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
ANONYMOUS · UNFILTERED
What do employees actually say about Annapurna Labs?
Real rants from real employees. Read before you apply.