AWS Inferentia is Amazon's first custom silicon designed to accelerate deep learning workloads in the cloud. Powered by AWS Neuron, an SDK with infrastructure and profiling tools, enables complex neural net models, created and trained in popular frameworks such as TensorFlow, PyTorch, and MXNet, to be executed using Inferentia-based Inf1 instances.
We're hiring software engineers for the Inferentia-accelerated Deep Learning Team to help customers easily migrate their ML applications to Neuron and run high-performance search recommendation, computer vision, speech recognition, personalization, fraud detection, and natural language processing models with Inferentia.
In this role, you'll be responsible for developing integrations with The Neuron SDK and frameworks such as TensorFlow, PyTorch, and MXNet. You'll be planning and implementing new features, working with customers to create innovative solutions, and actively contributing to open source projects.
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.
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.
• B.S. Computer Science or related technical field
• 5+ years of professional experience in software engineering: debugging, performance analysis, and test design
• 5+ years of professional experience with one or more of the following programming languages: C, C++, Java, or Perl
• 3+ years of experience with deep learning frameworks: TensorFlow, PyTorch, and MXNet
• Masters or PhD in Computer Science, Deep Learning, Artificial Intelligence, Applied Math, or related field
• Experience with distributed training for Deep learning and High Performance Computing
• Meets/exceeds Amazon's leadership principles requirements for this role
• Meets/exceeds Amazon's functional/technical depth and complexity for this role
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.