Applied Scientist II

Join our dynamic team dedicated to pre-silicon design verification for custom intellectual property. As an essential member of our group, you'll have the opportunity to develop innovative and compliant stimuli for a custom Machine Learning Accelerator Chip. By leveraging formal methods, you willmodel the legal behaviors of designs and tackle complex challenges to create specific assembly tests. You will be instrumental in building an advanced framework with the aid of an SMT solver and custom software to efficiently explore solution spaces for predefined scenarios. This role is highly visible and requires collaboration with design verification engineers, hardware architects, and designers, ensuring customized content is created to fulfill project requirements.

Key Responsibilities:

• Deeply understand a custom machine learning instruction set architecture.
• Model the correctness of instruction streams using first-order logic.
• Create custom APIs focused on scheduling and randomness control.
• Develop algorithms to ensure safe construction of concurrent code.
• Establish coverage metrics to ensure full exploration of the solution space.
• Employ cutting-edge techniques, including machine learning, to automate content generation.

About the Team:

AWS Utility Computing (UC) is committed to fostering product innovation, ranging from essential services like Amazon S3 and EC2 to groundbreaking solutions that distinguish AWS within the cloud domain. As a member of the UC organization, you will support a wide variety of AWS services, addressing specialized security needs for customers.

Annapurna Labs, our division within AWS UC, is focused on designing silicon and software that drive innovation. Our custom chips and software solutions enable us to tackle unprecedented technical challenges and empower our customers to revolutionize their industries.

About AWS:

Amazon Web Services (AWS) is the premier cloud platform, recognized for its expansive and widely used services. We are continuously pioneering advancements in cloud computing, trusted by businesses of all sizes, from startups to Fortune 500 companies, for our dependable range of products.

Diverse Experiences:

AWS appreciates diverse backgrounds and experiences. We encourage all candidates to apply, even if you may not meet every single qualification listed. Every career journey is distinct, and we value varied experiences and perspectives.

Work/Life Balance:

We prioritize work-life harmony, striving for success at work without sacrificing personal time. We promote flexibility in our workplace culture and believe that when our employees feel supported at both work and home, they can achieve outstanding results.

Inclusive Team Culture:

At AWS, we cultivate a culture of learning and curiosity. Our employee-led groups promote inclusivity and celebrate our differences. We offer ongoing events and learning opportunities to enhance our diverse community.

Mentorship & Career Growth:

We are committed to elevating our performance standards as we strive to become Earth's Best Employer. Here, you will find numerous opportunities for knowledge sharing, mentorship, and resources that will assist you in your professional development.

Basic Qualifications:

• 3+ years of experience in developing business application models.
• PhD or Master's degree with 4+ years of experience in Computer Science, Computer Engineering, Machine Learning, or related fields.
• Proven 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 working with Unix/Linux systems.
• Background in professional software development.

Amazon is an equal opportunity employer, and we prohibit discrimination based on veteran status, disability, or other legally protected statuses. Our inclusive culture allows every employee to perform at their best. If you require workplace accommodations during the application and hiring process, including interview support, please consult our internal resources for assistance.

The base salary 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 comprehensive range of additional benefits.

This position will remain open until filled. Please apply through our career site.