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 a manager for a software development team focused on the software needed to engineer a Machine Learning server.

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. 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 manage a team working through complex system related problems at AWS scale. What was MTBF is really "how many will fail today?" The software your team creates 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 Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Work/Life Balance

Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth

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 celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

About the team

The team is focused on our organization's ability to scale. Automation, software best practices, and good architectural abstractions are key to this endeavor.

We are open to hiring candidates to work out of one of the following locations:

Austin, TX, USA

Basic Qualifications

• Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers

• 5+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience

• Bachelor's degree

• 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

Preferred Qualifications

• Knowledge of computer system design, including I2C, SPI, and device drivers.

• Exposure to high speed interfaces such as PCIe and memory subsystems.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.