Annapurna Labs is at the forefront of hardware/software co-design in Amazon Web Services (AWS), designing and building hardware and software components for accelerated computing.

Annapurna Labs, a cutting-edge division of Amazon Web Services (AWS), is seeking an experienced CPLD/FPGA Firmware Engineer to join their ML Acceleration Server Firmware team. This role sits at the intersection of hardware and software development, focusing on creating high-performance Machine Learning servers from conception to deployment.

The position involves developing firmware for power sequencing and control systems in ML Acceleration servers within data center environments. You'll work with various technologies including computer architecture, hardware description languages (HDLs), and embedded systems, using languages such as Verilog, C, C++, Lua, bash, and Python.

As a member of this team, you'll be responsible for implementing power sequencing and managing various protocols including PWM, I2C, and SPI. The role requires expertise in developing systems software, kernel drivers, and building comprehensive test automation flows. You'll work in a highly cross-functional environment, collaborating with both software and hardware teams to optimize customer experience.

The position offers the opportunity to work on scalable designs that can be tested throughout different stages of product development, including manufacturing and production. You'll leverage automation, continuous integration, and fleet metrics to deploy and monitor your changes effectively.

AWS provides a supportive environment focused on work-life harmony, with flexible working culture and numerous opportunities for professional growth. The company values diversity and inclusion, demonstrated through employee-led affinity groups and ongoing learning experiences like Conversations on Race and Ethnicity (CORE) and AmazeCon conferences.

This role is particularly suited for those interested in system programming related to accelerators and devices, focusing more on device drivers than training algorithms. While the team works with machine learning workloads for system validation, the primary focus is on co-developing reliable server software and hardware for customers to deploy their ML workloads at scale.

Join a team that's pushing the boundaries of hardware/software co-design and help build the infrastructure that powers the future of machine learning computation at scale.

CPLD/FPGA Firmware Engineer position at Annapurna Labs developing firmware for ML Acceleration servers, focusing on power sequencing and control systems implementation.

CPLD/FPGA Firmware Engineer, Annapurna Labs, ML Accelerator Systems Firmware

AWS AI division focused on developing deep learning infrastructure and software solutions including AWS Neuron SDK for machine learning accelerators.

At AWS AI, we're revolutionizing deep learning accessibility for developers worldwide. The position is for a Software Engineer in the AWS Neuron SDK team, focusing on the development of critical software components for AWS Inferentia and Trainium machine learning accelerators. The role requires expertise in Linux systems and device drivers, with particular emphasis on hardware-based accelerator platforms.

The successful candidate will be instrumental in developing the runtime stack and drivers that manage these sophisticated accelerators. This position offers an opportunity to work with cutting-edge technology in a fast-paced environment alongside industry thought-leaders. The team is responsible for the AWS Neuron SDK, which includes a compiler, runtime, frameworks, and essential tooling that customers need for high-performance inference and training.

AWS values diversity and work-life harmony, offering a supportive environment where innovation thrives. The position comes with competitive compensation ranging from $129,300 to $223,600 based on location and experience, plus comprehensive benefits. You'll be part of Amazon Web Services' Utility Computing organization, contributing to foundational services like S3 and EC2.

The role offers significant growth opportunities through knowledge-sharing, mentorship, and career development resources. You'll work in an inclusive environment that celebrates diversity through employee-led affinity groups and ongoing learning experiences. This is an excellent opportunity for a skilled software engineer looking to make a significant impact in cloud computing and machine learning infrastructure.

Senior Software Engineer role at AWS AI developing runtime and driver software for machine learning accelerators, requiring Linux expertise and hardware acceleration experience.

Runtime/Driver Software Development Engineer, Neuron Runtime

AWS silicon development team responsible for machine learning accelerators and custom hardware

AWS Machine Learning accelerators team at Annapurna Labs is seeking a Machine Learning Compiler Engineer to join their innovative team. The role focuses on developing and scaling compilers for handling the world's largest ML workloads. The team is responsible for AWS Neuron, a deep learning compiler stack that converts neural network descriptions from frameworks like TensorFlow, PyTorch, and MXNET into executable code.

The position offers an opportunity to work with cutting-edge technology in ML acceleration, specifically with AWS Inferentia chip that delivers best-in-class ML inference performance and Trainium for ML training. You'll be part of a team comprising some of the brightest minds in engineering, research, and product development.

The role combines hands-on development with strategic thinking, requiring both technical expertise in compiler optimization and an understanding of machine learning systems. You'll work closely with AWS ML services teams, contribute to pre-silicon design, and help bring new products and features to market.

Amazon offers a comprehensive benefits package, including competitive base pay ranging from $129,300 to $223,600 depending on location, plus equity and sign-on payments. The company emphasizes work-life balance, offering flexible working hours and a supportive team environment focused on knowledge sharing and mentorship.

The ideal candidate will have strong programming skills in C++ or Python, experience with compiler architecture and optimization, and a passion for machine learning technology. While ML and AI accelerator experience is preferred, it's not mandatory. This role offers significant growth potential and the opportunity to impact the future of cloud-based machine learning infrastructure.

Machine Learning Compiler Engineer role at AWS Annapurna Labs, focusing on developing and optimizing compilers for ML workloads with competitive compensation and benefits.

Machine Learning - Compiler Engineer, Annapurna Labs

AWS subsidiary developing custom-built Machine Learning accelerators including Inferentia/Trainium for advanced ML capabilities

The AWS Neuron Compiler team is seeking talented compiler engineers to develop a cutting-edge deep learning compiler stack. This role focuses on optimizing application models across various domains, including Large Language Models and Vision, working with frameworks like PyTorch, TensorFlow, and JAX.

As a Machine Learning Compiler Engineer, you'll work with AWS's custom-built ML accelerators (Inferentia/Trainium) that power advanced ML capabilities including Generative AI. You'll be responsible for designing, developing, and optimizing compiler features while collaborating with cross-functional teams.

The position involves working on critical aspects like instruction scheduling, memory allocation, data transfer optimization, graph partitioning, parallel programming, and code generation. You'll also participate in hardware-software co-design and new hardware bring-up initiatives.

The role offers the opportunity to solve unique technical challenges in a startup-like environment while impacting AWS's global customer base. You'll work alongside talented engineers, participate in design discussions, conduct code reviews, and help drive business decisions through technical expertise.

This position at Annapurna Labs, an AWS subsidiary, offers competitive compensation ranging from $129,300 to $223,600 based on location and experience, plus additional benefits including medical insurance and 401k. The role is based in Cupertino, CA, and requires at least 3 years of professional software development experience with strong expertise in C++ or Python.

Senior ML Compiler Engineer role at AWS's Annapurna Labs, developing deep learning compiler stack for ML accelerators, focusing on optimization and hardware-software integration.

Machine Learning Compiler Engineer, Annapurna Labs

Annapurna Labs is an Amazon company that develops hardware and software solutions.

Annapurna Labs, an Amazon company, is seeking a Software Development Engineer III to join their team in Austin, Texas. This is a senior-level technical position that combines hands-on development with technical leadership responsibilities.

The role involves architecting and implementing large-scale, multi-tiered distributed software applications using modern technologies and practices. You'll be working with object-oriented design principles and languages like Java and C/C++, while leading technical initiatives from conception through delivery.

As a technical leader, you'll be responsible for gathering requirements from stakeholders, translating business needs into technical specifications, and ensuring the delivery of robust, scalable solutions. You'll provide technical mentorship through design reviews and architectural guidance to other engineers, focusing on critical aspects like integration, performance, and scalability.

The position offers a competitive compensation package ranging from $168,100 to $227,400 annually, plus additional benefits including equity, sign-on payments, and comprehensive medical coverage. This is an excellent opportunity for experienced software engineers looking to take on technical leadership responsibilities while working on challenging distributed systems problems.

The ideal candidate will have either a Master's degree with 1 year of experience or a Bachelor's degree with 5 years of progressive experience in software development. Strong expertise in distributed systems, object-oriented design, and technical project management is essential. You'll be working in a fast-paced environment where you'll need to balance technical excellence with business objectives while leading multiple projects simultaneously.

This role offers the opportunity to work on cutting-edge technology at scale, with the stability and resources of Amazon backing your projects. You'll be part of a team that values innovation, technical excellence, and leadership, while having the chance to make a significant impact on large-scale distributed systems.

Senior software engineering role at Amazon's Annapurna Labs focusing on distributed systems development and technical leadership.

Software Dev Engineer III - AMZ9080556

Amazon Web Services subsidiary developing custom silicon and cloud server chips

Amazon Web Services (AWS) is seeking an experienced Senior SOC Verification Engineer to join their Cloud-Scale Machine Learning Acceleration team. This role is crucial in developing the next generation of cloud server chips that power AWS's massive infrastructure serving hundreds of thousands of businesses globally.

The position involves working with cutting-edge custom silicon designs for data centers, focusing on verification at the SOC level. Key responsibilities include integrating third-party IPs, developing comprehensive test plans, and maintaining verification infrastructure. The ideal candidate will have extensive experience with System Verilog and UVM, along with a strong background in testbench development.

This is an excellent opportunity for experienced verification engineers looking to work on advanced chip designs in the machine learning space. The role offers competitive compensation ranging from $143,300 to $247,600 based on location and experience, plus additional benefits. Working at AWS means being part of a team that's pushing the boundaries of cloud computing and machine learning hardware acceleration.

The position requires strong technical skills combined with leadership abilities, as you'll be mentoring junior engineers while working on complex verification challenges. You'll be part of AWS's world-class server infrastructure team, handling massive scale and rapid integration of emergent technologies. The role offers exposure to various aspects of chip design verification, from custom blocks to full-chip SOC system testing.

AWS provides a comprehensive benefits package and promotes an inclusive work environment. The company's commitment to innovation in cloud computing and custom silicon development makes this an exciting opportunity for professionals looking to make a significant impact in the field of hardware verification for machine learning applications.

Senior SOC Verification Engineer role at AWS focusing on cloud server chip design and verification using System Verilog and UVM

Sr SOC Verification Engineer, Annapurna ML

Amazon Web Services subsidiary developing cloud server platforms and machine learning hardware acceleration

Amazon Web Services (AWS) is seeking an experienced Design Verification Engineer to join their Cloud-Scale Machine Learning Acceleration team. This role is crucial in building the next generation of cloud server platforms that power hundreds of thousands of businesses globally. The position focuses on verifying and validating machine learning hardware implementations in AWS data centers.

The role combines hardware verification expertise with machine learning acceleration, requiring strong skills in System Verilog, UVM, and testbench development. The ideal candidate will have 3+ years of experience in design verification and be capable of developing comprehensive verification plans.

AWS offers an inclusive team culture with ten employee-led affinity groups across 190 global chapters. The company strongly emphasizes work-life balance, providing flexible working hours and supporting employees in maintaining energy in both professional and personal lives. The team culture promotes knowledge sharing and mentorship, making it an excellent environment for professional growth.

The position offers the opportunity to work on cutting-edge technology at massive scale, directly impacting AWS's cloud infrastructure. Team members will collaborate with experts in both hardware and machine learning, contributing to the development of next-generation cloud computing solutions. The role provides exposure to complex technical challenges while working within Amazon's culture of innovation and customer obsession.

This is an excellent opportunity for verification engineers looking to advance their careers in the intersection of cloud computing and machine learning acceleration, working with one of the world's leading technology companies.

Senior Design Verification Engineer role at AWS focusing on machine learning hardware acceleration and cloud infrastructure validation.

MLA IP Design Verification Engineer, Annapurna Labs

A subsidiary of Amazon Web Services (AWS) focused on developing high-performance networking solutions for cloud computing.

Join the innovative team at Annapurna Labs (AWS) as an EFA Network Software Engineer, where you'll be at the forefront of enabling next-generation Machine Learning in the cloud. Our team owns the critical user-space software powering the Elastic Fabric Adapter (EFA) network card, essential for Machine Learning and High-Performance Computing customers on AWS.

In this role, you'll work on multiple C-based projects that enable networking for thousands of GPU and CPU instances, handling the most demanding clustered workloads. You'll be writing high-performance code for open-source projects like Libfabric and Open MPI, collaborating with various teams to innovate new cloud networking APIs, and providing expert support to leading AI companies worldwide.

Your day-to-day responsibilities will include optimizing software stack performance, creating detailed technical designs, implementing comprehensive testing strategies, and working closely with the ML Infrastructure team to ensure optimal performance across large-scale machine clusters. The position offers competitive compensation ranging from $129,300 to $223,600 per year, depending on location and experience.

We're a dynamic, fast-paced team within AWS that stays ahead of AI industry trends, ensuring our products are ready for whatever challenges come next. We emphasize automation and focus on solving the most interesting problems as our customers push the boundaries of what our network can achieve. This is an excellent opportunity for growth, as we invest heavily in career development and supporting team members in reaching their highest potential.

The ideal candidate will bring 3+ years of professional software development experience, strong expertise in C programming, and a deep understanding of high-performance computing and networking concepts. If you're passionate about building cutting-edge networking solutions and want to impact the future of cloud computing and AI infrastructure, this role offers an exciting opportunity to work with the latest technologies while solving complex technical challenges.

Senior Software Engineer role at AWS subsidiary focusing on high-performance networking solutions for machine learning and cloud computing, requiring expertise in C programming and network software development.

EFA Network Software Engineer, EFA Software Team

A subsidiary of AWS that designs silicon and software for cloud acceleration and innovation.

AWS Utility Computing (UC) is at the forefront of cloud innovation, providing foundational services like Amazon S3 and EC2. Within UC, Annapurna Labs designs cutting-edge silicon and software solutions that power cloud computing. This role is part of the Cloud-Scale Machine Learning Acceleration team, focusing on custom SoCs that are central to AWS Machine Learning servers, including AWS Inferentia.

As a Senior ASIC Design Engineer, you'll be instrumental in designing and optimizing hardware for our data centers. The role combines deep technical expertise in ASIC design with the excitement of working on breakthrough machine learning acceleration technologies. You'll be responsible for integrating multiple subsystems into top-level SOC designs, implementing high-performance RTL, and making critical architectural decisions that balance features, power, and performance.

The position offers unique opportunities to work with cutting-edge technology while being part of a team that values knowledge-sharing and mentorship. You'll collaborate with architects, designers, and various engineering teams, contributing to projects that directly impact AWS's machine learning infrastructure. The team culture emphasizes continuous learning, with senior members providing one-on-one mentoring and thorough code reviews.

This role is perfect for someone who combines strong technical skills in ASIC design with a passion for machine learning hardware acceleration. You'll be working in an environment that handles massive scale and rapid integration of emerging technologies, making direct contributions to AWS's leadership in cloud computing and machine learning infrastructure.

The compensation package is competitive, ranging from $143,300 to $247,600 based on location, plus additional benefits including equity, sign-on payments, and comprehensive medical and financial benefits. The position offers excellent career growth opportunities within AWS's innovative culture, where you'll be part of shaping the future of cloud computing and machine learning acceleration.

Senior ASIC Design Engineer role at AWS's Annapurna Labs, focusing on designing and optimizing custom chips for machine learning acceleration in cloud computing.

Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team

A subsidiary of AWS that designs silicon and software for cloud solutions and machine learning acceleration.

AWS Utility Computing (UC) is at the forefront of cloud innovation, providing foundational services like Amazon S3 and EC2. Within UC, Annapurna Labs designs cutting-edge silicon and software that powers cloud solutions. This role is part of the Cloud-Scale Machine Learning Acceleration team, responsible for designing and optimizing hardware in AWS data centers, including the AWS Inferentia custom-designed machine learning inference datacenter server.

As a Sr. ASIC Design Engineer, you'll work on groundbreaking technologies and architectures while maintaining high design quality. The position requires expertise in RTL design, system integration, and hardware optimization. You'll be responsible for implementing high-performance, power-efficient RTL designs and making critical trade-offs based on features, power, performance, and area requirements.

The team culture emphasizes knowledge-sharing and mentorship, with experienced members providing one-on-one guidance and thorough code reviews. Career growth is prioritized, with projects designed to help team members develop their engineering expertise. The work environment values work-life harmony and supports flexible working arrangements.

AWS offers comprehensive benefits including medical, dental, and vision insurance, 401k, parental leave, and education benefits. The compensation package is competitive, ranging from $143,300 to $247,600 based on location, plus equity and other benefits. This is an opportunity to work on cutting-edge machine learning hardware infrastructure at scale, making a direct impact on AWS's cloud computing capabilities.

Senior ASIC Design Engineer role for AWS's Machine Learning acceleration team, focusing on hardware design and optimization for cloud infrastructure.

Annapurna Labs is an Amazon subsidiary that develops silicon chips and systems for cloud computing and AI applications.

Annapurna Labs, an Amazon subsidiary, is seeking a Software Development Engineer II to join their team in Cupertino, California. This role offers an exciting opportunity to work on embedded and distributed software applications in a cutting-edge technology environment. The position involves designing, developing, and implementing software solutions while mentoring junior engineers.

The role requires expertise in languages like C#, C++, Java, or Perl, with a focus on object-oriented design principles. You'll be responsible for the full development lifecycle, from initial design through to maintenance, ensuring robust and efficient solutions that integrate well with the overall system architecture.

This is an excellent opportunity for a mid-level engineer with at least one year of experience in large-scale software development. The position offers competitive compensation ranging from $165,200 to $223,600 annually, plus comprehensive benefits including medical coverage and financial benefits. Amazon's total compensation package may include equity and sign-on payments.

Working at Amazon means being part of a dynamic, innovative company that values its leadership principles and promotes a culture of excellence. The role offers the chance to work on challenging technical problems while growing your career through mentorship and hands-on experience with cutting-edge technology.

The position is based in Cupertino, California, working standard business hours from 8:00 AM to 5:00 PM. As part of Amazon's commitment to diversity and inclusion, they welcome applications from all qualified candidates and provide comprehensive support for employees, including various benefits and workplace accommodations as needed.

Software Development Engineer II position at Annapurna Labs (Amazon) in Cupertino, focusing on embedded systems development with competitive compensation and benefits.

Software Dev Engineer II - AMZ9084442

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.

Annapurna Labs (U.S.) Inc. Engineering Jobs

Annapurna Labs is at the forefront of hardware/software co-design in Amazon Web Services (AWS), designing and building hardware and software components for accelerated computing.