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BASIC QUALIFICATIONS• Currently enrolled, or completed within the last 12 months, a Bachelor's degree program or higher Computer Science, Computer Engineering, Electrical Engineering, in these fields are considered with a graduation conferral date between December 2024 and September 2025• Programming experience in internship or coursework with programming language such as Python, C, or C++.Candidates with strong interests and academic qualifications/research focus in two of the following:• Data structures and algorithms • Compilers and Instruction Set ArchitectureKnowledge of resource management, scheduling, code generation, and compute graph optimizationExposure to front-end ML frameworks (i.e. PyTorch, TensorFlow, etc.)DESCRIPTIONAt AWS our vision is to make deep learning pervasive for everyday developers and to democratize access to cutting edge infrastructure. In order to deliver on that vision, we've created innovative software and hardware solutions that make it possible.AWS Neuron is the SDK that optimizes the performance of complex neural net models executed on AWS Inferentia and Trainium, our custom chips designed to accelerate deep-learning workloads.The Neuron SDK consists of a compiler, run-time, and debugger, integrated with Tensorflow, PyTorch, and MXNet. It is preinstalled in AWS Deep Learning AMIs and Deep Learning Containers for customers to quickly get started with running high performance and cost-effective inference.The Neuron team is looking for students interested in learning about and contributing to deep learning compilers to solve our customers toughest problems. As a compiler engineer on the Neuron team, you will be supporting the ground-up development of a compiler targeting AWS Inferentia and Trainum. This is an opportunity to work on a brand new product where you will architect and implement business-critical features, and be mentored by a brilliant team of experienced engineers.Key job responsibilities•Innovating and delivering creative SW Designs to develop new services, solve operational problems, drive improvements in developer velocity, or positively impact operational safety•Writing requirements capturing documents, design documents, integration test plans, and deployment plans•Communicating status and progress of deliverables to schedule, and sharing learnings/ innovations with your team and stakeholdersWe are open to hiring candidates to work out of one of the following locations:Toronto, ON, CANPREFERRED QUALIFICATIONS•Previous technical internship(s), if applicable.•Experience in automating •Ability to effectively articulate technical challenges and solutions.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, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.Salary: . Date posted: 03/29/2024 10:03 PM

DESCRIPTIONAt AWS our vision is to make deep learning pervasive for everyday developers and to democratize access to cutting edge infrastructure. In order to deliver on that vision, we've created innovative software and hardware solutions that make it possible.AWS Neuron is the SDK that optimizes the performance of complex neural net models executed on AWS Inferentia and Trainium, our custom chips designed to accelerate deep-learning workloads.The Neuron SDK consists of a compiler, run-time, and debugger, integrated with Tensorflow, PyTorch, and MXNet. It is preinstalled in AWS Deep Learning AMIs and Deep Learning Containers for customers to quickly get started with running high performance and cost-effective inference.The Neuron team is looking for students interested in learning about and contributing to deep learning compilers to solve our customers toughest problems. As a compiler engineer on the Neuron team, you will be supporting the ground-up development of a compiler targeting AWS Inferentia and Trainum. This is an opportunity to work on a brand new product where you will architect and implement business-critical features, and be mentored by a brilliant team of experienced engineers.About UsInclusive Team CultureHere 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 BalanceOur team puts a high value on work-live 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 OpportunitiesOur 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 and thorough, but kind, code reviews. 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.Join us today and shape the future of one of AWS fastest growing products!We are open to hiring candidates to work out of one of the following locations:Toronto, ON, CANBASIC QUALIFICATIONS• Currently enrolled in a Bachelor's degree program or higher Computer Science, Computer Engineering, Electrical Engineering or related technical field• Proficiency with one or more of the following programming languages: C, C++, or Python• Strong background in data structures and algorithms• Experience with compilers and Instruction Set Architectures• Knowledge of resource management, scheduling, code generation, and compute graph optimization• Exposure to front-end ML frameworks (i.e. PyTorch, TensorFlow, etc.)• Available for a 14-16 month internshipPREFERRED QUALIFICATIONS• Proficiency with one or more of the following programming languages: C, C++, or Python• Strong background in data structures and algorithms• Experience with compilers and Instruction Set Architectures• Knowledge of resource management, scheduling, code generation, and compute graph optimization• Exposure to front-end ML frameworks (i.e. PyTorch, TensorFlow, etc.)• Available for 14-16month internshipAmazon 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, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.Salary: . Date posted: 04/06/2024 09:31 AM

DESCRIPTIONAmazon Security is seeking an innovative Security Engineer to join the Vulnerability Management and Remediation (VMR) team as a Vulnerability Detection Engineer. The VMR team is responsible for the discovery, assessment, triage, and remediation of vulnerabilities across Amazon. We are data-driven, set big goals, and are always challenging ourselves and each other to identify better solutions and take on new challenges. Our team offers the unique opportunity to work with leading industry security experts and engage across Amazon teams and leadership.As a Security Engineer on VMR Discovery team, you will be responsible for the timely and accurate detection of vulnerabilities across the complexity and scale of the Amazon ecosystem. Your teammates are a global team of security engineers, software developers, and technical program managers dedicated to continuously raising the security bar. Key job responsibilities- Analyse public and private vulnerability disclosures and exploit code - Assess and prioritise the development of new detections- Author and validate safe, scaleable, and accurate vulnerability detection mechanisms- Design software and mechanisms that continuously raise the safety and confidence bar for the vulnerability detection ecosystem- Demonstrate engineering, design, and security technical leadership, mentoring peer and partner engineers- Collaborate with partners across Amazon to develop scalable solutions to security problems- Periodic follow-the-sun on-call responsibilitiesAbout the teamWhy Amazon SecurityAt Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon's products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.Diverse ExperiencesAmazon Security values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.Inclusive Team CultureIn Amazon Security, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.Training and Career growthWe're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.We are open to hiring candidates to work out of one of the following locations:Sydney, NSW, AUSBASIC QUALIFICATIONS- BS degree in Computer Science, Computer Engineering, Software Engineering, Cybersecurity or related technical degree; or 4+ years equivalent technology experience- 3 years experience improving accuracy of vulnerability detection mechanisms across a diverse technical ecosystem- 3 years experience developing vulnerability assessment tests and toolsets in Python, Java, etcPREFERRED QUALIFICATIONS- 3+ years of any combination of the following: threat modeling experience, secure coding, identity management and authentication, software development, cryptography, system administration and network security experience- Experience with AWS products and services- Experience with programming languages such as Python, Java, C++Acknowledgement of country:In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.IDE statement: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, disability, age, or other legally protected attributes.Salary: . Date posted: 04/06/2024 09:27 AM