Applied Scientist II, Machine Learning Development

Amazon

United States

United States

Postuler Maintenant

À propos

Join our innovative team focused on pre-silicon design verification for custom IP. As a key contributor, you will work on developing realistic and legal stimulus for a custom Machine Learning Accelerator Chip. Utilizing formal methods, you will model legal behavior of designs and solve complex problems to create specific assembly tests. You'll be involved in building a sophisticated framework with the help of an SMT solver and custom software to effectively navigate solution spaces for templated scenarios. This role is highly visible and requires collaboration with design verification engineers, hardware architects, and designers, ensuring tailored content is created to meet project requirements. Key Responsibilities: Develop a thorough understanding of a custom machine learning instruction set architecture. Model instruction stream correctness using first-order logic. Create custom APIs for scheduling and randomness control. Implement algorithms to ensure safe concurrent code construction. Establish coverage metrics to guarantee comprehensive solution space coverage. Utilize innovative techniques, including machine learning, to automate content generation. About the Team: AWS Utility Computing (UC) is committed to driving product innovations ranging from core services like Amazon S3 and EC2 to cutting-edge solutions that differentiate AWS in the cloud space. As part of the UC organization, you will support AWS's extensive services covering Compute, Database, Storage, IoT, Platform, and Productivity Apps, catering to customers with specialized security requirements. Annapurna Labs, our division within AWS UC, focuses on designing silicon and software that accelerate innovation. Our custom chips and software stacks enable us to address and solve unprecedented technical challenges, empowering our customers to transform their industries. About AWS: Amazon Web Services (AWS) is the leading cloud platform, known for comprehensive and widely adopted services. We continue to pioneer advances in cloud computing, trusted by businesses from startups to Fortune 500 companies for our reliable suite of products. Diverse Experiences: AWS values diverse backgrounds and experiences. We encourage all candidates to apply, even if you may not meet every qualification outlined. Every career path is unique, and we value varied experiences and perspectives. Work/Life Balance: We prioritize work-life harmony, striving to achieve success at work without compromising personal time. We support flexibility in our work culture, believing that when employees feel supported both at work and home, they can achieve great results. Inclusive Team Culture: At AWS, we nurture an environment of learning and curiosity. Our employee-led groups foster inclusivity, celebrating our differences. We offer ongoing events and learning opportunities to embrace our diverse community. Mentorship & Career Growth: We are dedicated to raising our performance bar as we aim to become Earth's Best Employer. Here, you'll find ample opportunities for knowledge sharing, mentorship, and resources that assist in your professional development. Basic Qualifications: 3+ years of experience in building business application models. PhD or Master's degree with 4+ years of experience in CS, CE, ML, or related fields. Track record of patents or publications in top-tier peer-reviewed journals or conferences. Proficiency in programming languages such as Java, C++, or Python. Familiarity with algorithms, data structures, parsing, numerical optimization, data mining, parallel/distributed computing, or high-performance computing. Preferred Qualifications: Experience with Unix/Linux. Background in professional software development. Amazon is an equal opportunity employer and prohibits discrimination based on veteran status, disability, or other legally protected statuses. Our inclusive culture allows every employee to deliver their best results. If you require workplace accommodations during the application and hiring process, including interview support, please consult our internal resources for assistance. The base pay for this position ranges from $136,000 to $223,400 depending on geographic market and individual experience. Compensation may include equity, sign-on payments, and a full range of additional benefits. This position will remain open until filled. Please apply through our career site.

United States

Compétences linguistiques

English

Avis aux utilisateurs

Cette offre provient d’une plateforme partenaire de TieTalent. Cliquez sur « Postuler maintenant » pour soumettre votre candidature directement sur leur site.

Postuler Maintenant