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

A subsidiary of Amazon Web Services that develops custom SoCs for machine learning and cloud infrastructure.

Amazon Web Services (AWS) is seeking an ASIC Design Engineer to join their Cloud-Scale Machine Learning Acceleration team. This role is crucial in developing custom System on Chip (SoC) solutions that power AWS Machine Learning servers, including the AWS Inferentia platform. The position offers an opportunity to work at the cutting edge of cloud infrastructure and machine learning hardware acceleration.

The ideal candidate will be responsible for designing and optimizing hardware components that are essential to AWS's data center operations. This includes developing high-performance, power-efficient RTL designs and conducting detailed analysis of microarchitectures to optimize various trade-offs between functionality, power consumption, and area requirements.

The role combines technical expertise in ASIC design with the opportunity to work on large-scale cloud infrastructure. You'll be part of a team that values innovation, as evidenced by their work on custom silicon solutions for machine learning applications. The position offers significant growth potential through mentorship programs and exposure to cutting-edge technology development.

AWS provides a comprehensive benefits package including medical coverage, financial benefits, and emphasizes work-life balance. The company culture strongly supports diversity and inclusion, with multiple employee-led affinity groups and ongoing learning experiences.

This is an excellent opportunity for someone with strong ASIC design experience who wants to impact cloud computing and machine learning infrastructure at a global scale. The role offers the chance to work with world-class engineers while contributing to the development of next-generation cloud technologies.

The position is available in either Cupertino, CA or Austin, TX, offering flexibility in location choice. AWS's commitment to employee development, combined with the technical challenges of the role, makes this an attractive opportunity for engineers looking to advance their careers in hardware design for cloud computing.

ASIC Design Engineer position at AWS focusing on cloud-scale machine learning acceleration and custom SoC development.

ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team

A subsidiary of AWS that designs silicon and software to accelerate cloud innovation.

AWS Utility Computing (UC) is at the forefront of cloud innovation, providing foundational services like S3 and EC2. Within UC, Annapurna Labs designs cutting-edge silicon and software solutions that push the boundaries of what's possible in cloud computing. The validation team plays a crucial role in the hardware lifecycle, from emulation through initial bringup and validation.

As a Software Development Engineer II on the validation team, you'll be responsible for ensuring the quality and reliability of new hardware solutions. The role combines hardware validation expertise with software development skills, requiring you to develop and execute validation plans, create specialized workloads and tools, and collaborate across teams to ensure successful product delivery.

The team culture emphasizes knowledge-sharing, mentorship, and continuous learning. AWS values diverse experiences and backgrounds, fostering an inclusive environment through employee-led affinity groups and ongoing learning initiatives. The company prioritizes work-life harmony and provides extensive opportunities for career growth and development.

Working at AWS means being part of the world's most comprehensive cloud platform, trusted by businesses from startups to Global 500 companies. You'll contribute to groundbreaking innovations while working alongside talented professionals who are passionate about solving complex technical challenges. The role offers competitive benefits, including medical, dental, and vision insurance, as well as parental leave policies.

AWS Validation Engineer role at Annapurna Labs focusing on chip-level and system-level validation for cloud computing hardware solutions.

System Validation Engineer, System Validation Engineer

A subsidiary of Amazon Web Services (AWS) focused on developing innovative software and hardware solutions for machine learning acceleration.

AWS AI is revolutionizing deep learning accessibility through the AWS Neuron SDK, a comprehensive software stack for AWS Inferentia and Trainium machine learning accelerators. This role focuses on developing crucial runtime and driver software components for these innovative ML accelerators. As a Software Engineer on the AWS Neuron SDK team, you'll be instrumental in creating high-performance software interfaces between hardware and software layers.

The position demands expertise in Linux systems, device drivers, and hardware accelerator platforms. You'll work alongside industry thought-leaders, implementing sophisticated software solutions that power AWS's machine learning infrastructure. The role combines deep technical challenges with the opportunity to shape the future of cloud-based ML acceleration.

AWS, as the world's leading cloud platform, offers an environment of continuous innovation and learning. The Utility Computing (UC) organization, which this role is part of, is responsible for foundational services like S3 and EC2, consistently pushing boundaries in cloud computing.

The company culture emphasizes work-life harmony, diversity, and inclusion, with various employee-led affinity groups and ongoing learning opportunities. Career growth is supported through mentorship, knowledge-sharing, and professional development resources. The compensation package is comprehensive, including competitive base pay, equity opportunities, and full benefits, reflecting Amazon's commitment to attracting and retaining top talent.

This is an opportunity to join a team that's democratizing access to cutting-edge ML infrastructure while working on technically challenging problems that impact developers worldwide.

Software engineering role focused on developing runtime and driver software for AWS Neuron SDK, requiring expertise in Linux systems and hardware acceleration.

Runtime/Driver Software Development Engineer, Neuron Runtime

A subsidiary of Amazon developing custom silicon chips for AWS Machine Learning servers

Join the innovative team at Annapurna Labs developing embedded software for AWS Machine Learning accelerator chips. This role focuses on creating firmware and optimizing software for custom Amazon-designed silicon chips that power AWS Machine Learning servers. You'll work on the embedded software stack critical to these bleeding-edge system-on-chips (SoCs), directly driving the execution and management of hardware accelerated neural network models within the SOC's Neuron Cores.

The position offers unique opportunities to work at the intersection of hardware and software, collaborating closely with architecture and design teams on hardware/software co-design. You'll be developing both firmware and custom hardware enabling ML capabilities within accelerator chips. The team's mission is to democratize access to industry-leading ML infrastructure and make deep learning accessible to everyday software developers.

Working in a fast-paced environment, you'll collaborate with thought-leaders across multiple technology domains. The role demands high standards and continuous innovation in improving product performance, quality, and cost-effectiveness. Prior ML knowledge isn't required as training will be provided, though any ML background is beneficial.

Key responsibilities include architecture and co-design of software/hardware systems, embedded software development with focus on testing and performance optimization, and building robust test infrastructure. You'll need to create maintainable, well-documented code that can be tested and reused effectively. The role involves extensive collaboration with RTL designers, verification engineers, and other software teams.

This position offers competitive compensation ranging from $129,300 to $223,600 based on geographic location, plus equity and comprehensive benefits including medical coverage and 401k. Join us in shaping the future of machine learning infrastructure at AWS.

Embedded Software Development Engineer position focused on developing firmware and software for machine learning accelerator chips at Amazon AWS

Embedded Software Development Engineer, Machine Learning Accelerators

A subsidiary of Amazon Web Services (AWS) focused on hardware/software co-design and machine learning server systems.

Annapurna Labs, an AWS subsidiary, is seeking a Software Engineer II to join their Machine Learning Server Software Team. This role focuses on developing system software for ML acceleration hardware, working at the intersection of hardware and software. The team is responsible for creating and maintaining software for server components, particularly focusing on data paths, I2C infrastructure, and accelerator operations. This is a technical position that involves working closely with hardware teams to enable server qualification and deployment.

The role offers significant growth opportunities within AWS's innovative cloud computing environment. The team culture emphasizes knowledge-sharing, mentorship, and inclusive practices, with regular code reviews and one-on-one mentoring opportunities. AWS values diverse experiences and backgrounds, encouraging applications from candidates with non-traditional career paths.

As part of the position, you'll be working on cutting-edge server technologies that power AWS's machine learning infrastructure. The work involves complex system-level programming, requiring expertise in languages like C/C++, Python, and Lua. You'll be part of a team that focuses on scaling through software automation and improving server deployment efficiency.

The position offers work-life harmony and flexibility, ensuring success both professionally and personally. AWS provides comprehensive career development resources and opportunities to grow into a well-rounded professional. You'll be working in an environment that celebrates diversity through employee-led affinity groups and ongoing learning experiences.

This role is ideal for someone passionate about system software development, interested in hardware-software integration, and excited about working on infrastructure that powers machine learning applications at scale. The position requires strong technical skills combined with the ability to collaborate effectively with hardware and manufacturing teams.

Software Engineer II position at Annapurna Labs (AWS) focusing on ML acceleration system software development and hardware-software integration.

Software Engineer II, Annapurna Labs ML Acceleration System Software

AWS Annapurna Labs develops silicon for advanced machine learning accelerator servers, utilizing latest process nodes and massively scaled server clusters.

AWS Annapurna Labs develops cutting-edge silicon solutions for machine learning accelerator servers, pushing the boundaries of what's possible in cloud computing. As an HBM ASIC Test Engineer, you'll be at the forefront of semiconductor testing, working with advanced ATE platforms to ensure extremely low DPPM in our product line. The role specifically focuses on High Bandwidth Memory (HBM) DRAM interface and memory stack testing, including SOC phy training and optimization.

You'll work on multiple testing phases - from ATE testing to mission profile testing on SLT and full server deployment. The position requires deep understanding of interface calibration, training modes, and quality metrics like eye diagrams and timing margins. You'll collaborate with vendors on production testing patterns and develop strategies for lifetime testing and repair as devices age.

The role combines traditional semiconductor testing with modern server architecture knowledge, offering a unique opportunity to work on both hardware and software aspects. You'll be part of AWS Utility Computing (UC), which provides foundational services like Amazon S3 and EC2, consistently innovating in cloud technology.

Working at AWS means joining a culture of continuous learning and innovation. We offer comprehensive benefits, work-life harmony, and a supportive environment that celebrates diversity through employee-led affinity groups. Our team values knowledge-sharing and mentorship, making it an ideal place for professional growth.

The position offers exposure to cutting-edge technology in cloud computing, semiconductor testing, and machine learning hardware. You'll work with a collaborative team that's pushing the boundaries of what's possible in cloud infrastructure, while having access to Amazon's vast resources and expertise.

HBM ASIC Test Engineer role at AWS Annapurna Labs, focusing on semiconductor testing and optimization for machine learning accelerator servers.

HBM ASIC Test Engineer, Annapurna Silicon Operations

Annapurna Labs develops silicon for advanced machine learning accelerator servers, creating hardware platforms for inference and training workloads.

Annapurna Labs, part of AWS Utility Computing, is seeking a semiconductor test engineer to work on silicon development for advanced machine learning accelerator servers. The role combines traditional ATE platform experience with broader system architecture understanding, as the final product is a complete server solution. The position involves working with the latest process nodes and massively scaled server clusters to deliver high-quality, low-DPPM products.

The role extends beyond traditional structural testing to include mission profile testing, working with external controlling ICs, and porting server management and customer runtime software. You'll work with virtualized machines and specific microcontrollers found in end applications. The team provides a supportive environment with access to all necessary tools, code, and mentorship.

As part of AWS UC, you'll contribute to foundational services like Amazon S3 and EC2, while supporting specialized security solutions for cloud services. Annapurna Labs focuses on designing innovative silicon and software solutions that push the boundaries of what's possible in cloud computing.

The position offers work-life harmony, inclusive team culture, and strong career growth opportunities. You'll join a diverse team with various experience levels, benefiting from knowledge-sharing and mentorship programs. AWS values different perspectives and experiences, encouraging applications from candidates with non-traditional backgrounds.

ASIC Test Engineer role at Annapurna Labs developing silicon for ML accelerator servers, combining semiconductor testing with system architecture expertise.

ASIC Test Engineer, Annapurna Silicon Operations

Annapurna Labs designs silicon and software that accelerates innovation, creating cloud solutions and custom chips for AWS.

Annapurna Labs, a part of Amazon Web Services (AWS), is at the forefront of hardware/software co-design, creating innovative silicon and software solutions that power cloud computing. The Machine Learning Server Software Team is seeking talented engineers to help redefine server management at EC2 scale. This role focuses on developing management software for server components throughout their lifecycle, from manufacturing to fleet deployment.

As a Software Engineer II, you'll be working on critical systems that enable AWS's infrastructure, including debug tools, testing frameworks, and qualification software. The position requires expertise in embedded systems programming, operating system modifications, and server management applications. You'll collaborate closely with hardware and test teams to create comprehensive software solutions that facilitate rapid deployment and qualification of server components.

The team operates in a highly cross-functional environment, emphasizing automation, software best practices, and architectural excellence. You'll have the opportunity to work on scalable systems that impact AWS's entire server infrastructure, from development through production. The role offers exposure to cutting-edge technology in cloud computing and machine learning acceleration.

AWS values diverse experiences and fosters an inclusive culture through employee-led affinity groups and ongoing learning opportunities. The company emphasizes work-life harmony and provides extensive career development resources, including mentorship programs and knowledge-sharing platforms. As part of the AWS Utility Computing organization, you'll contribute to foundational services like Amazon S3 and EC2, while working alongside experienced professionals in a supportive environment that celebrates knowledge-sharing and professional growth.

This position offers an excellent opportunity to work on innovative technology while being part of a team that's shaping the future of cloud computing infrastructure. The role combines technical challenges with professional development opportunities in a collaborative, inclusive environment.

Software Engineer II position at Annapurna Labs developing embedded systems and management software for AWS server infrastructure, focusing on ML acceleration and server lifecycle management.

Software Engineer II, Annapurna Labs ML Acceleration Management Controller

Annapurna Labs designs silicon and software that accelerates innovation within AWS, creating custom chips and accelerators.

AWS Utility Computing (UC) is at the forefront of cloud innovation, providing foundational services like S3 and EC2. Within UC, Annapurna Labs designs cutting-edge silicon and software solutions that power AWS's cloud infrastructure. This role is part of the Silicon Optimization Engineering Team, focusing on Design for Test (DFT) architecture and implementation.

As a DFT Design Engineer, you'll be responsible for developing and implementing state-of-the-art test architectures for complex processor and SoC designs. You'll work closely with block designers and physical design teams to integrate DFT implementations and establish efficient test methodologies. The role requires expertise in RTL coding, verification, and silicon debug, with a focus on creating high-coverage, cost-effective testing solutions.

The position offers unique challenges in pushing the boundaries of what's possible in cloud computing hardware. You'll be working with thought leaders across multiple technology areas, contributing to innovations that help AWS customers solve previously impossible challenges. The fast-paced environment demands high standards and continuous improvement in product performance, quality, and cost optimization.

AWS provides a supportive and inclusive work environment, emphasizing work-life harmony and professional growth. The company values diverse experiences and perspectives, offering various employee-led affinity groups and ongoing learning opportunities. Whether you're participating in Conversations on Race and Ethnicity (CORE) or AmazeCon conferences, you'll find a culture that celebrates uniqueness and innovation.

The role offers extensive mentorship and career development resources, helping you grow into a well-rounded professional. AWS's commitment to becoming Earth's Best Employer means continuous investment in employee development and workplace culture. Even if your career path has been non-traditional or you're just starting out, AWS values diverse experiences and encourages all qualified candidates to apply.

Working at AWS means being part of a team that's revolutionizing cloud computing while maintaining a strong focus on customer success. You'll have the opportunity to work on cutting-edge technology while being supported by a company that values both professional excellence and personal well-being.

Design for Test (DFT) Engineer position at AWS Machine Learning Acceleration team, focusing on silicon and hardware optimization for cloud computing infrastructure.

DFT Design Engineer, AWS Machine Learning Acceleration

A subsidiary in AWS that builds software and hardware for ML on EC2, focusing on innovations in networks, silicon, and software suites.

Join the Machine Learning (ML) Infrastructure team at AWS as a Software Development Engineer, where you'll be at the forefront of building tools that ensure peak performance of AWS ML and High Performance Computing (HPC) technologies. This role is part of Annapurna Labs, a key AWS subsidiary that develops cutting-edge software and hardware solutions for ML on EC2.

As a member of our team, you'll work on critical infrastructure that monitors and optimizes massive testing workloads at scale. Your responsibilities will include developing automated CI/CD pipelines, managing large-scale clusters, and creating sophisticated monitoring systems using AWS Managed Grafana and Athena. You'll be instrumental in building solutions that help detect and prevent performance regressions before they impact customers.

The position requires expertise in Python, TypeScript, and infrastructure as code (IaC) using CDK. You'll work with advanced technologies including SLURM, Active Directory, and various AWS services. The role offers competitive compensation ranging from $129,300 to $223,600 based on location and experience, plus comprehensive benefits.

This is an excellent opportunity for engineers passionate about ML infrastructure who want to make a significant impact on AWS's ML and HPC capabilities. You'll be working with innovative technologies like Trainium, Neuron, and Elastic Fabric Adapter (EFA), helping to make AWS the premier platform for AI workloads at scale.

The ideal candidate brings strong experience in software development, CI/CD automation, and ML/HPC systems. You'll need to be comfortable managing complex infrastructure across multiple instance types and operating systems, while maintaining high standards for code quality and automation. Join us in shaping the future of cloud-based machine learning infrastructure at AWS.

AWS ML Infrastructure Software Development Engineer position focusing on building and maintaining tools for ML and HPC workload performance optimization.

Software Development Engineer, ML Infrastructure Team

Annapurna Labs builds high-performance hardware and software solutions used in AWS data centers globally.

Annapurna Labs, an Amazon company, is seeking a talented FPGA Development Engineer to join their team focused on building accelerator services. This role sits at the intersection of hardware and software development, working on high-performance solutions deployed in AWS data centers globally. As an FPGA Development Engineer, you'll be responsible for the complete lifecycle of FPGA-based accelerators, from design through deployment. You'll work with cutting-edge technologies like AWS F1/F2 platforms to enable hardware acceleration in the cloud.

The position offers an opportunity to shape the future of cloud hardware acceleration, working on projects that directly impact AWS customers. You'll be developing RTL designs, creating customer examples, and building internal accelerators. The role requires deep technical expertise in FPGA development, system architecture, and hardware debugging. You'll be part of a team that values operational excellence and customer experience, working in a fast-paced environment that pushes the boundaries of what's possible with FPGA technology.

Key responsibilities include developing complex RTL designs, troubleshooting hardware issues, implementing verification testing, and delivering accelerator designs to external customers. You'll also be involved in defining product features, establishing performance benchmarks, and providing technical leadership in hardware architecture and design reviews. The role requires strong communication skills, as you'll be presenting technical information and reporting on development status to management.

This is an excellent opportunity for someone passionate about hardware development who wants to work at the forefront of cloud computing technology. You'll be part of Amazon's innovative culture, working with a team that's dedicated to delivering world-class customer experiences through hardware acceleration solutions. The position offers the chance to work on challenging problems, learn about data center infrastructure, and make a significant impact on AWS's hardware acceleration capabilities.

FPGA Development Engineer position at Annapurna Labs focusing on building hardware acceleration solutions for AWS data centers, requiring expertise in RTL design and FPGA development.

FPGA Development Engineer, Annapurna Labs

Annapurna Labs is an AWS organization building innovation in silicon and software for AWS customers, with development centers in the U.S. and Israel.

Annapurna Labs, an innovative organization within AWS, is seeking a Systems Development Engineer to join their Infrastructure team. This role offers an exciting opportunity to work on next-generation cloud computing infrastructure, specifically focusing on Machine Learning Accelerators like AWS Inferentia2 and Trainium. The position combines software development with infrastructure management at massive scale, working alongside some of the industry's brightest minds in a fast-paced, startup-like environment.

The role involves building and maintaining critical infrastructure used by Annapurna engineers to design and develop hardware and software components. You'll be working on-site in Austin, Texas, contributing to the development of custom silicon and owning the infrastructure that enables this innovation. The position requires expertise in both software development and systems engineering, with a focus on cloud infrastructure, networking, and automation.

As a Systems Development Engineer, you'll be responsible for architecting and delivering solutions directly to internal customers, collaborating with multiple teams, and implementing large-scale infrastructure improvements. The work involves everything from networking and high-performance compute clusters to infrastructure automation of hardware/software/firmware testing and ASIC/EDA development.

This is an excellent opportunity for someone who wants to make a significant impact in cloud computing infrastructure while working with cutting-edge technology in machine learning acceleration. The role offers hands-on experience with AWS services and the chance to influence technical implementations across multiple teams. If you're passionate about building complete products from inception to customer delivery and want to be part of creating the world's most advanced Machine Learning Accelerators, this position at Annapurna Labs could be your next career move.

Systems Development Engineer position at Annapurna Labs focusing on cloud infrastructure and machine learning acceleration systems, combining software development with infrastructure management.

Sys Dev Engineer - Infrastructure, Annapurna Labs

AWS Annapurna Labs develops cutting-edge silicon solutions for machine learning accelerator servers, pushing the boundaries of what's possible in cloud computing. As an HBM ASIC Test Engineer, you'll be at the forefront of semiconductor testing, working with advanced High Bandwidth Memory (HBM) DRAM interfaces and memory stack testing. You'll optimize SOC phy to DRAM base die training, going beyond JEDEC specs to achieve maximum bandwidth through customized training and vendor-specific sequences.

The role combines traditional ATE platform testing with mission profile testing, requiring expertise in structural testing, external controlling ICs, and server management software. You'll work with virtualized machines and microcontrollers, ensuring our silicon performs optimally in real-world server environments. Your responsibilities include analyzing eye diagrams, timing margins, and implementing lane repair and optimization strategies.

Working within AWS Utility Computing (UC), you'll be part of the team that powers foundational services like Amazon S3 and EC2. Annapurna Labs focuses on creating innovative silicon and software solutions that push the boundaries of cloud computing. You'll have access to state-of-the-art tools and mentorship, working in a supportive environment that values knowledge-sharing and career growth.

The position offers the opportunity to work with a diverse, inclusive team that embraces continuous learning. You'll benefit from Amazon's work-life harmony approach and have access to various career development resources, including employee-led affinity groups and mentorship programs. Join us in solving unprecedented technical challenges and helping our customers innovate in ways previously thought impossible.

AWS Annapurna Labs seeks an HBM ASIC Test Engineer to develop and optimize semiconductor testing for machine learning accelerator servers, focusing on High Bandwidth Memory interfaces and system-level integration.

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