Job Location: Cupertino, CA
- 7+ years of experience working directly within engineering teams
- Experience partnering with product OR program management teams
- 3+ years of people management experience, managing engineers
- 3+ years of experience architecting and designing (architecture, design patterns, reliability and scaling) of new and current systems
- B.S. Computer Science or related technical field
- 7+ years of experience in software engineering
- 3+ years of experience managing software engineering teams
- Experience recruiting, developing, and retaining engineering teams
- Proficiency with one or more of the following programming languages: C, C++, or Python
- Experience with ISA: CPU, NPU, GPU, and novel forms of compute
- Strong knowledge of resource management, scheduling, code generation, and compute graph optimization
Job summary
The Product: AWS Machine Learning accelerators are at the forefront of AWS innovation. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud. Trainium will deliver the best-in-class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by cutting edge software stack, the AWS Neuron Software Development Kit (SDK), which includes an ML compiler, runtime and natively integrates into popular ML frameworks, such as PyTorch, TensorFlow and MxNet. The Neuron SDK optimizes performance of complex neural net models executed on AWS Inferentia. AWS Neuron and Inferentia are used at scale with customers and partners like PyTorch, Epic Games, Snap, AirBnB, Autodesk, Amazon Alexa, Amazon Rekognition and more customers in various other segments.
The Team: The Amazon Annapurna Labs team is a responsible for building innovation in silicon and software for AWS customers. We are at the forefront of innovation by combining cloud scale with the world’s most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design and verification, software and operations. With such breadth of talent, there’s opportunity to learn all of the time. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We’re inventing. We’re experimenting. When you couple that with the ability to work on so many different products and services, it’s a very unique learning culture.
Learn more about Our History:
https://www.amazon.science/how-silicon-innovation-became-the-secret-sauce-behind-awss-success
You: As a Manager III on the AWS Neuron team, you’ll be leading a team of compiler engineers through the developing, deploying, and scaling a brand-new compiler targeting AWS Inferentia. You’ll need to be technically capable, credible and curious in your own right as a trusted AWS Neuron Manager, innovating on behalf of our customers. You’ll leverage your technical communications skill as a hands-on partner to AWS ML services teams, involved in pre-silicon design, bringing new products/features to market, and many other exciting projects to ensure this new toolchain works with their existing environments and existing programming paradigms, and semantics can be maintained.
You will have deep knowledge of resource management, scheduling, code generation, optimization, and new instruction architectures including CPU, NPU, GPU and novel forms of compute.
Explore the Product:
https://awsdocs-neuron.readthedocs-hosted.com/en/latest/neuron-guide/neuron-cc/index.html
https://github.com/aws/aws-neuron-sdk
https://aws.amazon.com/machine-learning/neuron/
https://aws.amazon.com/machine-learning/neuron/
Key job responsibilities
About the team
Inclusive Team Culture
Here at Annapurna Labs, 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.
- M.S. or Ph.D. in Computer Science or related technical field
- Experience with toolchains: LLVM, GCC
- Experience with code generation for new hardware
- Experience with AI acceleration
- Experience with ML frameworks: Tensorflow, PyTorch, or MXNet
- Experience with compilation techniques: JIT, Dynamic Compilation, AOT Compilation, or Static Analysis
- Meets/exceeds Amazon’s leadership principles requirements 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.
Submit CV To All Data Science Job Consultants Across United States For Free