An Amazon company developing networking technologies and software for AWS cloud services

AWS Utility Computing (UC) is seeking an Embedded Software Engineer to join the networking software group at Annapurna Labs, an Amazon company. This role focuses on developing critical networking technologies for AWS's cloud infrastructure, particularly RDMA technology for Machine Learning and High Performance Computing customers. The position involves working with complex software and hardware designs, taking ownership of key software components for Amazon network cards, and implementing solutions that will run on millions of servers worldwide as part of the Nitro system.

The role requires collaboration with hardware, firmware, and software teams globally, making it an excellent opportunity for engineers who want to work on large-scale systems. The team is specifically responsible for AWS HPC (High Performance Computing) and ML (Machine Learning) networking device software, contributing to foundational services like Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2).

Amazon offers a supportive work environment with emphasis on work-life harmony, continuous learning, and career growth. The company values diverse experiences and perspectives, providing various employee-led affinity groups and inclusion events. Team members benefit from extensive knowledge-sharing opportunities, mentorship programs, and resources for professional development.

This position is ideal for software engineers passionate about networking technologies, performance optimization, and working on systems that operate at unprecedented scale. The role combines technical challenges with the opportunity to impact millions of AWS customers worldwide, making it a unique opportunity in the field of embedded systems and networking software development.

Embedded Software Engineer position at Annapurna Labs (Amazon) developing networking technologies and RDMA solutions for AWS cloud infrastructure

Embedded Software Engineer, EFA team

Annapurna Labs, a division at Amazon Web Services (AWS), develops innovative hardware and software for AWS cloud infrastructure.

AWS Utility Computing (UC) is at the forefront of cloud innovation, managing crucial services like Amazon S3 and EC2. Within AWS UC, Annapurna Labs develops cutting-edge hardware and software for AWS cloud infrastructure. They're seeking a leader for their Formal Verification team, which plays a vital role in verification efforts and vision.

The position offers a dynamic, fast-paced environment with constant learning opportunities. Amazon values diverse experiences and welcomes candidates from non-traditional backgrounds. As part of AWS, you'll be working with the world's most comprehensive cloud platform, trusted by companies from startups to Global 500.

The role emphasizes work-life harmony with flexible arrangements. Amazon fosters an inclusive culture through employee-led affinity groups and inclusion events that celebrate diversity. Career growth is supported through knowledge-sharing, mentorship, and professional development resources.

The ideal candidate will be a team player, highly motivated, and comfortable in a dynamic environment. They'll join a team that's integral to AWS's verification efforts, working on innovative solutions for cloud infrastructure. This role offers the opportunity to work with cutting-edge technology while contributing to AWS's continued leadership in cloud computing.

Senior Formal Verification Engineer role at Annapurna Labs (AWS) in Tel Aviv, focusing on hardware verification for cloud infrastructure, requiring 5+ years of experience.

Formal Verification Engineer

Annapurna Labs, part of Amazon Web Services (AWS), develops innovative hardware and software for AWS cloud customers.

AWS Utility Computing (UC), through Annapurna Labs, is seeking a Senior Verification Engineer to join their innovative hardware and software development team. This role sits at the intersection of cloud computing and semiconductor development, working on groundbreaking technologies that power AWS, the world's largest cloud provider.

The position requires deep expertise in system-level verification of complex SoCs, combining hardware verification skills with software development capabilities. You'll be working with cutting-edge technology in a fast-paced, startup-like environment within AWS, while having the backing and resources of Amazon.

As a Senior Verification Engineer, you'll be responsible for developing and verifying semiconductor platforms with revolutionary architectures. The role involves working with state-of-the-art products and contributing to disruptive system architectures that support AWS's broad suite of services, from foundational offerings like S3 and EC2 to specialized security solutions.

The position offers significant growth opportunities through mentorship, knowledge-sharing, and career development resources. Amazon's culture emphasizes work-life harmony with flexible work arrangements, and you'll be part of an inclusive environment that values diverse perspectives and experiences.

You'll be joining a team that's central to AWS's infrastructure innovation, working alongside talented engineers who are shaping the future of cloud computing. The role combines the excitement of a startup with the stability and resources of a global technology leader, offering unique challenges and opportunities for professional growth.

This is an ideal position for an experienced verification engineer who wants to work on transformative technology while being part of a team that values innovation, technical excellence, and collaborative problem-solving. The role offers the chance to make a significant impact on products used by millions of AWS customers worldwide.

Senior Verification Engineer role at Annapurna Labs (AWS) developing innovative hardware and software solutions for cloud infrastructure.

Senior Verification Engineer

Part of Amazon Web Services (AWS), developing semiconductor platforms based on revolutionary architecture.

AWS Utility Computing (UC) is at the forefront of cloud innovation, providing foundational services like Amazon S3 and EC2. Within AWS UC, the Amazon Dedicated Cloud (ADC) team focuses on specialized security solutions for cloud services. As a Software Automation Engineer at Annapurna Labs, you'll be part of AWS's semiconductor platform development team, working on revolutionary architecture.

The role combines machine learning, high-performance computing, and automation expertise. You'll be responsible for creating ML and HPC automation tools, implementing CI/CD flows, and building high-scale dashboards. This position offers the opportunity to work in a dynamic, fast-paced environment at the world's largest cloud provider.

The ideal candidate should have strong Python programming skills, experience with Linux systems, and a background in hardware/software automation. Knowledge of system design concepts, embedded software testing, and CI/CD tools like Jenkins and TeamCity is valuable. AWS values diverse experiences and provides extensive career development opportunities, including mentorship and knowledge-sharing resources.

Working at AWS means joining a culture that values curiosity, innovation, and inclusion. The company offers flexible work arrangements to support work-life harmony and hosts various inclusion events to foster stronger teams. As part of Amazon Web Services, you'll contribute to a platform that powers hundreds of thousands of businesses across 190 countries.

Software Automation Engineer role at AWS Annapurna Labs focusing on ML/HPC automation, CI/CD implementation, and high-scale dashboard development.

Software Automation Engineer

A division at Amazon Web Services (AWS) that develops innovative hardware and software for AWS cutting-edge cloud infrastructure.

AWS Utility Computing (UC) is seeking a Formal Verification Engineer to join their team at Annapurna Labs. This role is part of AWS's innovative hardware and software development division that creates cutting-edge cloud infrastructure. The position involves working with foundational services like Amazon S3 and EC2, while focusing on formal verification efforts within the team. The role offers opportunities to work on specialized security solutions for AWS customers through Amazon Dedicated Cloud (ADC). Amazon values diverse experiences and work-life harmony, offering flexible work arrangements and a supportive environment for professional growth. The position is based in Tel Aviv, Israel, and requires expertise in digital logic systems, computer networks, and computer architecture. This is an excellent opportunity to join AWS, the world's most comprehensive cloud platform, and contribute to groundbreaking technological innovations while working alongside diverse, passionate teams.

Formal Verification Engineer position at Annapurna Labs (AWS) in Tel Aviv, focusing on hardware and software verification for cloud infrastructure.

Annapurna Labs is an Amazon company developing cutting-edge ML accelerators and compiler technology for AWS cloud infrastructure.

Join the innovative team behind AWS Neuron Compiler, a cutting-edge deep learning compiler stack powering Generative AI and advanced ML workloads on AWS's custom-built ML accelerators — Inferentia and Trainium. Based in Tel Aviv, this role offers a unique opportunity to shape the future of AI infrastructure at AWS.

As a Machine Learning Compiler Engineer, you'll be part of a new core group driving innovation in compiler technology and systems-level ML software. You'll work at the intersection of machine learning and systems, tackling complex challenges in compiler optimization, hardware-software co-design, and performance optimization.

The role involves collaborating with diverse teams across AWS to impact our global customer base. You'll be solving unprecedented technical challenges at every stack layer, from instruction scheduling and memory management to graph partitioning and ISA design. The position offers a startup-like environment within AWS, where you'll always work on high-priority projects with direct customer impact.

The team is responsible for developing and maintaining the AWS Neuron Compiler, which is crucial for delivering best-in-class performance and cost-efficiency for ML inference and training in the cloud. You'll have the opportunity to work with cutting-edge technology while contributing to the future of cloud-based AI infrastructure.

This role combines deep technical expertise with collaborative teamwork, requiring both strong programming skills and the ability to work effectively across different teams and projects. You'll be involved in everything from detailed technical implementations to high-level architectural decisions, making this an excellent opportunity for someone passionate about both machine learning and systems engineering.

Senior Machine Learning Compiler Engineer role at Annapurna Labs (Amazon) in Tel Aviv, focusing on developing the AWS Neuron Compiler for ML accelerators.

Machine Learning Compiler Engineer, Annapurna Labs

AWS Machine Learning accelerator division developing custom silicon chips for ML inference and training

AWS Machine Learning accelerators are revolutionizing cloud computing with custom silicon chips - Inferentia for ML inference and Trainium for ML training. These are powered by the AWS Neuron SDK, featuring a deep learning compiler and runtime with native integration for popular ML frameworks. The Tel Aviv team will be crucial in developing the Neuron compiler stack, translating neural network models into high-performance execution on AWS custom hardware.

As a Senior Machine Learning Compiler Engineer, you'll join Amazon Annapurna Labs' AWS Neuron team, working across software, hardware, and silicon engineering. You'll lead compiler technology development, optimize ML workloads, and contribute to hardware development from pre-silicon design through production deployment. The role offers opportunities to influence architecture, mentor engineers, and collaborate with AWS service teams.

The position requires strong technical leadership, with responsibilities including architecting critical features, publishing research, and mentoring experienced engineers. You'll work closely with AWS ML services teams and contribute to various stages of product development. While ML and AI accelerator experience is preferred, the role primarily seeks innovative engineers passionate about scaling complex systems.

This is a founding team position in Tel Aviv, offering the unique opportunity to shape both technical direction and team culture while contributing to AWS's global ML infrastructure. The work directly impacts major customers like Snap, Autodesk, and Amazon's own services, making it an excellent opportunity for engineers looking to make a significant impact in the ML/AI infrastructure space.

Senior Machine Learning Compiler Engineer role at AWS Annapurna Labs, developing cutting-edge compiler technologies for ML accelerators and custom silicon chips.

Sr. Machine Learning Compiler Engineer, Annapurna Labs

Annapurna Labs is an Amazon company that develops AWS Neuron Compiler, a deep learning compiler stack for AWS's custom-built ML accelerators.

Join the innovative team behind AWS Neuron Compiler, a cutting-edge deep learning compiler stack powering Generative AI and advanced ML workloads on AWS's custom-built ML accelerators — Inferentia and Trainium. As a Machine Learning Compiler Engineer at Annapurna Labs in Tel Aviv, you'll be part of a new core group shaping the future of AI infrastructure.

The role involves working at the intersection of machine learning and systems, focusing on compiler technology and systems-level ML software. You'll be tackling complex challenges in compiler optimization, graph theory, and hardware-software integration. The position offers unique opportunities to work with AWS's custom ML accelerators that deliver industry-leading performance and cost-efficiency for ML inference and training in the cloud.

Your responsibilities will span across multiple technical domains, from instruction scheduling and memory management to ISA design and hardware bring-up. You'll collaborate with cross-functional teams including Runtime, Frameworks, and Hardware to optimize end-to-end performance. The role requires strong programming skills in C++ or Python, along with deep understanding of compiler design, parallel programming, and machine learning frameworks.

This is an exceptional opportunity to work in a startup-like environment within AWS, where you'll have direct impact on global customers while building next-generation AI infrastructure. The position offers the stability and resources of Amazon while maintaining the innovation speed of a startup. You'll be part of AWS's Utility Computing organization, working alongside teams responsible for foundational services like S3 and EC2.

The role combines technical depth with broad impact, requiring both specialized knowledge in compiler technology and the ability to work across different layers of the technology stack. If you're passionate about pushing the boundaries of ML infrastructure and want to be at the forefront of AI innovation, this role offers the perfect platform to make a significant impact in the field.

Senior Machine Learning Compiler Engineer role at Annapurna Labs (Amazon) working on AWS Neuron Compiler for ML accelerators, focusing on compiler optimization and hardware-software co-design.

An Amazon company developing next generation chips for AWS cloud services

AWS Utility Computing (UC) is seeking a Chip Validation Software Engineer to join their innovative team at Annapurna Labs. This role focuses on developing next-generation chips for AWS cloud infrastructure, specifically working on system-level software for functional and performance validation. The position involves working with cutting-edge chip architecture and ensuring functional correctness across various platforms.

The role is part of Amazon's cloud computing division, which pioneered and continues to lead in cloud services through products like S3 and EC2. As a member of the team, you'll contribute to developing specialized security solutions for AWS customers through the Amazon Dedicated Cloud (ADC) initiative.

Amazon offers a collaborative, team-oriented environment with strong emphasis on work-life harmony. The company provides flexible work arrangements and supports career growth through extensive mentorship programs and knowledge-sharing opportunities. They particularly value diverse experiences and backgrounds, encouraging applications from candidates with non-traditional career paths.

The position requires strong software development skills with at least 3 years of experience in both coding and system architecture. You'll be working at the intersection of hardware and software, developing validation tools and frameworks that ensure the reliability and performance of next-generation chip designs. This is an excellent opportunity for engineers interested in low-level software development and hardware validation in a cloud computing context.

Chip Validation Software Engineer role at Annapurna Labs developing system-level software for next-generation AWS chip validation and architecture.

Chip Validation Software Engineer

AWS Utility Computing (UC) is seeking a Chip Validation Software Engineer to join their innovative team at Annapurna Labs. This role focuses on developing next-generation chips for AWS cloud services, specifically working on system-level software for functional and performance validation. The position requires expertise in chip architecture and validation across various platforms.

As part of Amazon's cloud computing division, you'll be working on groundbreaking technology that powers services like Amazon S3 and EC2. The role combines hardware understanding with software development, requiring both technical depth and system-level thinking. You'll be part of a team developing revolutionary chip architecture while ensuring functional correctness and optimal performance.

The position offers significant growth opportunities within AWS, with access to mentorship programs and career development resources. Amazon values diverse experiences and maintains an inclusive culture where work-life harmony is prioritized. The company offers flexible work arrangements and supports employee-led affinity groups that foster inclusion.

Working at Annapurna Labs, you'll be at the forefront of cloud computing innovation, developing solutions that impact AWS's global infrastructure. The role provides exposure to cutting-edge technology while working alongside talented engineers in a collaborative environment. This is an excellent opportunity for someone passionate about both software development and hardware architecture, wanting to make a significant impact in cloud computing technology.

Software engineering role focused on developing and validating next-generation chips for AWS cloud services at Annapurna Labs, requiring 3+ years of software development experience.

An Amazon company developing semiconductor platforms based on revolutionary architecture.

AWS Utility Computing (UC) is seeking an Embedded Software Engineer to join their Annapurna Labs team, focusing on developing next-generation networking products. This role is part of the Data Path HAL team, where you'll work on technologies powering the world's largest cloud provider. The position involves both pre-silicon and post-silicon activities, making it a crucial role in AWS software development.

As an Embedded Software Engineer, you'll be at the forefront of developing semiconductor platforms with revolutionary architecture. You'll work directly with the heart of the network engine, leading tasks that involve collaboration with peers across multiple disciplines. The role offers an opportunity to contribute to foundational services like Amazon's S3 and EC2, while being part of continuous product innovations that distinguish AWS in the industry.

The ideal candidate should have strong embedded software development experience, particularly with C programming, and a solid understanding of hardware/software interfaces at both board and chip levels. Knowledge of network driver development, protocols, and SoC development lifecycle would be advantageous. The position offers work-life harmony with flexible arrangements and is part of AWS's inclusive culture that values diverse experiences and continuous learning.

This role is perfect for someone who wants to be part of Amazon's cloud innovation journey, working with cutting-edge technology while having the opportunity to grow professionally through knowledge-sharing and mentorship programs. You'll be contributing to products that define the future of cloud computing while working in a dynamic, open, and fast-paced environment.

Embedded Software Engineer position at Annapurna Labs (Amazon) developing next-gen networking products and semiconductor platforms, requiring 2+ years embedded software experience.

Embedded Software Engineer, Annapurna

Part of AWS (Amazon Web Services), developing next-generation cloud platforms and disruptive system architecture.

AWS Utility Computing (UC) is at the forefront of cloud innovation, providing foundational services like Amazon S3 and EC2. As part of Annapurna Labs within AWS, this role focuses on system validation engineering for next-generation cloud platforms. The position combines software quality assurance with hardware integration, requiring expertise in both domains.

The role involves working with AWS's largest cloud infrastructure, ensuring the quality and reliability of critical systems. You'll be responsible for developing and maintaining test frameworks, executing comprehensive test plans, and collaborating closely with development teams to maintain high product standards.

This is an excellent opportunity for experienced QA engineers who want to work at the intersection of hardware and software, particularly in cloud computing. The position offers significant growth potential within AWS's dynamic environment, with access to mentorship, ongoing learning opportunities, and the chance to work on technologies that power thousands of businesses worldwide.

The ideal candidate will bring strong technical skills in Python/Bash/Lua scripting, experience with Linux systems, and a background in test automation. You'll be joining a team that values diversity, continuous learning, and innovation, with the opportunity to shape the future of cloud computing infrastructure.

Working at AWS means being part of a culture that emphasizes work-life harmony, inclusive practices, and continuous professional development. You'll have access to various career advancement resources, employee-led affinity groups, and the opportunity to work on challenging technical problems at a global scale.

Senior System Validation Engineer role at AWS Annapurna Labs, focusing on test automation and quality assurance for cloud infrastructure platforms.

Annapurna Labs Ltd. Engineering Jobs

An Amazon company developing networking technologies and software for AWS cloud services