Find Annapurna Labs (U.S.) Inc. Mid-Level Software Engineer software engineering jobs

AWS is the world's most comprehensive and broadly adopted cloud platform, pioneering cloud computing and continuously innovating.

AWS Utility Computing (UC) provides product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. This role may involve exposure to and experience with Amazon's growing suite of generative AI services and other cutting-edge cloud computing offerings across the AWS portfolio.

Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.

Annapurna's Machine Learning organization is dedicated to creating innovative, highly available, and cost-effective machine learning solutions for our customers. Our team has delivered Inf1, Inf2, and Trn1 instances types to our customers, lowering the cost of inference and training while minimizing downtime.

The validation team is at the forefront of the hardware lifecycle and supports the project at every step, from emulation, through initial bringup and validation, and even integration of customer feedback into tools and workloads. We are looking for a Software Development Engineer II to join the validation team and ensure our newest hardware will delight customers!

Key job responsibilities:
- Develop chip-level and system-level validation plans focused on customer needs
- Develop workloads and tools to enable validation, tested using emulation environments
- Execute validation plans, debug failures, and communicate with key project stakeholders
- Enable other teams to use workloads and tools for other parts of the projects such as characterization
- Teach and share debug strategies with the larger team

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 and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.

AWS values diverse experiences. Even if you do not meet all of the 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.

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.

We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Join AWS as a System Validation Engineer to develop and validate cutting-edge hardware for machine learning solutions.

System Validation Engineer, System Validation Engineer

Annapurna Labs designs silicon and software that accelerates innovation within AWS Utility Computing, providing product innovations that set AWS's services and features apart in the industry.

The AWS Neuron Compiler team is seeking skilled compiler engineers to develop a state-of-the-art deep learning compiler stack. This role involves optimizing application models across diverse domains, including Large Language and Vision, from frameworks like PyTorch, TensorFlow, and JAX. You'll work with custom-built Machine Learning accelerators such as Inferentia/Trainium, contributing to AWS's innovation in advanced ML capabilities and Generative AI.

As an ML Compiler engineer, you'll design, develop, and optimize compiler features, tackling crucial challenges in compiler technology and deep-learning systems software. You'll collaborate with cross-functional teams to ensure system-wide performance optimization.

Key responsibilities include:
- Solving challenging technical problems at every layer of the stack
- Designing, implementing, testing, deploying, and maintaining innovative software solutions
- Researching implementations for the best possible customer experiences
- Building high-impact solutions for a large customer base
- Participating in design discussions, code reviews, and communicating with stakeholders
- Working cross-functionally to drive business decisions with technical input

The role offers opportunities to work on instruction scheduling, memory allocation, data transfer optimization, graph partitioning, parallel programming, code generation, Instruction Set Architectures, new hardware bring-up, and hardware-software co-design.

You'll be part of a team that values knowledge-sharing, mentorship, and career growth, working in a startup-like environment focused on the most impactful projects.

This position may involve exposure to Amazon's growing suite of generative AI services and other cutting-edge cloud computing offerings across the AWS portfolio.

AWS Neuron Compiler team seeks ML Compiler Engineer to develop deep learning compiler stack, optimize models, and work with custom ML accelerators.

ML Compiler Engineer, Annapurna Labs

Annapurna Labs is responsible for silicon development at AWS, covering multiple disciplines including silicon engineering, hardware design and verification, software and operations.

The AWS Neuron team is developing a deep learning compiler stack that takes neural network descriptions created in frameworks such as TensorFlow, PyTorch, and MXNET, and converts them into code suitable for execution. As a Machine Learning Compiler Engineer II on the AWS Neuron team, you will be supporting the ground-up development and scaling of a compiler to handle the world's largest ML workloads. You will be architecting and implementing business-critical features, publishing cutting-edge research, and contributing to a brilliant team of experienced engineers. You will leverage your technical communications skill as a hands-on partner to AWS ML services teams and will be involved in pre-silicon design, bringing new products/features to market, and many other exciting projects. The team values work-life balance and offers flexibility in working hours. They are dedicated to supporting new members, with a broad mix of experience levels and tenures, and are building an environment that celebrates knowledge sharing and mentorship.

Machine Learning - Compiler Engineer II, Annapurna Labs

Annapurna Labs is part of AWS (Amazon Web Services), which provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world.

Amazon Web Services (AWS) is seeking a highly experienced System Manufacturing Engineer to join their Machine Learning Acceleration team at Annapurna Labs. This role is crucial for enabling and improving the system level manufacturing environment for AWS's next generation cloud server platforms.

As a System Manufacturing Engineer, you will be responsible for developing tests that ensure functionality and capability of custom hardware used in the AWS server fleet. You'll gain expertise in the top-to-bottom functionality of the entire system, as well as the intended customer applications, and stress test the system from a customer perspective.

Key responsibilities include:
1. Developing, maintaining, and improving manufacturing test code for new and existing products
2. Creating first-boot images for products in manufacturing using both high-level and low-level operating system constructs
3. Developing and maintaining deployment and distribution systems for manufacturing partners
4. Responding to issues raised by manufacturing partners, analyzing logs and failures, and developing solutions
5. Creating documentation, testing procedures, and debug procedures for manufacturing partners

The ideal candidate will have a strong background in embedded systems, hardware interfaces, and UNIX environments. Experience with Python or other scripting languages, as well as familiarity with system management components and debugging tools, is essential.

This position offers the opportunity to work on cutting-edge cloud server technology and contribute to the infrastructure that powers thousands of businesses worldwide. The role is based in Austin, TX, and may require up to 10% international travel.

Join AWS and be part of a team that's shaping the future of cloud computing and machine learning acceleration!

AWS seeks a System Manufacturing Engineer for their Machine Learning Acceleration team to develop and improve testing for next-gen cloud server platforms.

System Manufacturing Engineer

Annapurna Labs is an organization within AWS responsible for building innovation in silicon and software for AWS customers.

Annapurna Labs, an organization within AWS, is responsible for building innovation in silicon and software for AWS customers. With development centers in the U.S. and Israel, Annapurna is at the forefront of innovation by combining cloud scale with the world's most talented engineers. The team covers multiple disciplines including silicon engineering, hardware design and verification, software, and operations. As part of the Annapurna Labs Infrastructure team, you'll have the opportunity to invent the next generation of cloud computing infrastructure. You'll work in a fast-paced, innovative, start-up like environment filled with some of the brightest minds in the industry. The role involves designing and supporting enterprise-scale infrastructure, including hardware, software, and networks used to develop, test, monitor, control, or support internal engineering teams. Key responsibilities include designing and implementing services, providing leadership in applying new technologies to large scale deployments, and collaborating with cross-functional teams to solve problems and implement new solutions. The ideal candidate should have strong technical skills, critical thinking abilities, and be innovative, creative, self-directed, and a great team player. The role requires on-site presence in Austin, Texas, where you'll be part of the team developing custom silicon and owning the infrastructure that enables this innovation.

Annapurna Labs (U.S.) Inc. Mid-Level Software Engineer Software Engineering Jobs

Find Annapurna Labs (U.S.) Inc. Mid-Level Software Engineer software engineering jobs