Sigma Computing jobs

Finance Six Sigma Black Belt, Amazon Customer Excellence Services (ACES) Hyderabad, Telangana, IND Amazon Customer Excellence Services (ACES) team leads the identification and implementation of high-impact initiatives to continuously improve Finance Global Business Services (FGBS) accounts payables operations. Based in Hyderabad, this role drives tangible cost savings initiatives, manages Lean - Six Sigma improvement project portfolios, and fosters an innovative culture while maintaining customer obsession. Key job responsibilities Strategic Leadership • Partner with Learning & Development, Business Analytics, Business Partners and Finance teams to drive process improvements. • Align local and global Amazon Customer Experience Solutions (ACES) initiatives with Financial Global Business Services (FGBS) goals Operational Excellence • Lead continuous improvement projects including Six Sigma, Lean, Kaizen, and Failure Mode Effects Analysis (FMEA) • Mentor team members on improvement projects and Just Do It (JDI) and replication initiatives. • Analyze key process indicators to identify optimization opportunities. • Conduct Gemba Walks to generate improvement ideas. Conduct prioritization sessions with stakeholders to align projects and priorities. Project Management • Guide projects to successful completion through the DMAIC methodology leading or mentorship. • Track and deliver measurable business benefits • Develop and execute site-wide communication strategies Development & Culture • Deliver technical training in Six Sigma, Kaizen, and FMEA methodologies • Foster continuous improvement culture through coaching Problem Solving • Resolve systemic process barriers • Design solutions for complex operational challenges • Prioritize projects based on business impact A day in the life - Mentor Lean / six sigma Belt project and

Analyst II, Full Stack (Core Analytics) Remote US

Sr. Advanced Compute Specialist SA - National Security, National Security Specialists Solutions Architecture Team Arlington, Virginia, USA Amazon Web Services is seeking an Advanced Computing Solutions Architect to support our Intelligence Community (IC), Department of Energy (DoE), and broader U.S. Federal Government customers. Are you excited to help U.S. Government customers leverage performant networks, computing nodes, and emerging technologies to solve the most important workloads in advanced computing? From high performance computing (HPC) and quantum computing to large-scale analytics, modeling, and simulation, this role sits at the forefront of next-generation compute. Thrilled to be a key part of Amazon, who has been investing in agile and elastic compute for decades, pioneering and shaping the world's technology? Come join us! Key job responsibilities Advanced computing is growing in importance as these systems are critical to the explosion of ML, AI, quantum research, and scientific discovery. We're seeing more and more amazing work being done from autonomous vehicles and imagery analysis to financial trading, logistics optimization, and quantum algorithm development. Given the scale required for advanced computing workloads, the cloud is an ideal place to deploy them, and Amazon Web Services (AWS) is the leader. We're looking for someone passionate and deeply excited about this space. Someone who is devoted to helping U.S. Government customers understand how advanced computing, including HPC, quantum computing, and custom accelerators, can make a big difference to their mission. As an Advanced Computing Solutions Architect (SA), you will be the Subject Matter Expert (SME) for designing solutions

Principal AI Compute SA, AGS Namer Tech San Francisco, California, USA Are you passionate about Machine Learning (ML), Deep Learning, Artificial Intelligence (AI), Generative AI, and Agentic AI? Are you energized by the opportunity to drive production usage of ML and AI at scale? We'd love to hear from you. ML and AI, especially Generative AI and Agentic AI, are rapidly transforming how we work and live. We're witnessing the impact of Generative AI creating everything from code to content, while Agentic AI systems are autonomously solving complex business challenges. From home automation and mobile apps to financial trading and shipping logistics, AI is reshaping every industry. Given the computational scale required for developing AI models, particularly large language models and autonomous agents, the cloud is an ideal environment for deploying AI models, and Amazon Web Services (AWS) leads this space. We're seeking someone who is passionate about AI's potential to help customers understand how it can transform their businesses. As an AI/ML Specialist Solutions Architect (SA), you will serve as a Subject Matter Expert for designing scalable, secure, and cost-effective AI/ML, Generative AI, and Agentic AI solutions that leverage AWS services. Working at the intersection of innovation and enterprise requirements, you'll architect production-grade solutions that are reliable, well-governed, and compliant with industry standards. Your expertise will be important in helping organizations build responsible AI practices, from traditional ML to advanced Generative AI and Agentic AI systems, while defining robust governance frameworks and secure AI pipelines that scale efficiently. As

Analytics Lead, Full Stack (Consumer Analytics) Remote US

Applied Scientist, Edge AI and Science Cambridge, England, GBR Amazon Devices is an inventive research and development company that designs and engineers high-profile devices like the Kindle family of products, Fire Tablets, Fire TV, Health & Wellness, Amazon Echo, and Astro products. This is an exciting opportunity to bring generative AI to Amazon's consumer products, both on-device at the edge and in the cloud. Our compression platform delivers 20x to 100x neural network compression, but using it well still takes weeks of hands-on learning and expert intuition. The Edge AI Model Studio team exists to change that. We become the expert users so partner teams don't have to: we turn compression science into reliable, production workflows, and we package the results into a library of compression-ready student architectures that partners can run on their own. Our north star is simple. Training-to-deployment should feel like pushing a button, not a month-long science project. We are looking for an Applied Scientist to join Model Studio and help compress the next generation of models for edge and cloud deployment across modalities, including large language models, vision-language models, speech and audio models, and omni models that reason jointly over text, audio, and video. You will apply and extend state-of-the-art compression recipes to real models, define the benchmarks and evaluation methodology that make trade-offs explicit, and build the reference implementations that let other teams deploy compressed models without our help. You will work backwards from deployment constraints such as memory, latency, throughput, power, and cost,

Sr. SDE, MLA hardware/software co-design, Annapurna Labs Machine Learning Acceleration Austin, Texas, USA AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new 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, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Custom machine learning chips are at the heart of our Trainium machine learning instances, and we invite you to build them with us! As a senior SDE in the pre-silicon team, you will be responsible for driving the pre-silicon hardware/software co-development for our machine learning chips. You will work with architecture, design and emulation teams to build and test our next generation AI chips. You will write bare-metal software and ML workloads to verify the end-to-end functionality and performance of the SoC. If you have a solid background in embedded software, system development or chip design, come join us! About the team Why AWS 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. Utility Computing (UC)

Senior Data Engineer II (Hybrid) Scottsdale, Arizona, United States Join Axon and be a Force for Good. At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact We are seeking a Senior Data Engineer II to play a pivotal role in building and advancing Axon's Corporate Data Platform - a best-in-class, cloud-native data warehouse that serves as the foundation for enterprise reporting, business self-service analytics, and our growing Connected Intelligence initiatives. In this hands-on senior individual contributor role, you will design, implement, and optimize modern data solutions across Snowflake, dbt, Fivetran, Elementary, Sigma, and the broader data engineering ecosystem. You'll serve as a technical anchor for the team, helping shape platform architecture, raise engineering standards, and build trusted, AI-ready data infrastructure that drives business decisions across Axon. This role offers significant influence, visibility, and career growth for a senior engineer who wants to deepen their technical leadership while helping define what modern data engineering looks like at scale. What You'll Do Location: This role follows a hybrid schedule and is based out of one

Software Development Manager, ML Accelerators, AWS Neuron, Annapurna Labs Seattle, Washington, USA AWS Machine Learning accelerators are at the forefront of AWS innovation. The Trainium chip delivers industry-leading ML inference and training performance at the lowest cost in the cloud. This is enabled by edge software stack, the AWS Neuron Software Development Kit, which includes a Machine Learning compiler. The SDK natively integrates into popular ML frameworks, such as PyTorch, JAX and TensorFlow. AWS Neuron is widely adopted by many internal and external customers and partners. Amazon Annapurna Labs drives innovation in silicon and software for AWS, blending cloud-scale impact with world-class engineering talent. Our multidisciplinary team spans silicon design, hardware verification, software, and operations. We operate in large, complex domains with small, agile teams, fostering continuous learning and rapid innovation. With no set blueprint, we thrive on experimentation and offer a uniquely dynamic and enriching environment across a wide range of AWS products and services. Learn more about our history: https://www.amazon.science/how-silicon-innovation-became-the-secret-sauce-behind-awss-success We are seeking an exceptional Software Engineering Manager to lead portion of our Deep-Learning Backend Compiler team at AWS Neuron. You will manage a team of talented compiler engineers focused on machine learning compiler design and development. In this role, you will drive the design and implementation of ML compiler solutions, develop advanced optimization techniques, lead hardware bring-up for next-generation chips, and influence pre-silicon design decisions while mentoring your team. This position offers the opportunity to directly impact AWS's machine learning infrastructure and accelerate the delivery of innovative

SDE, MLA hardware/software co-design, Annapurna Labs Machine Learning Acceleration Austin, Texas, USA As an SDE in the pre-silicon team, you will be responsible for driving the pre-silicon hardware/software co-development for our machine learning chips. You will work with architecture, design and emulation teams to build new silicon functionality. You will write bare-metal software to verify the end-to-end functionality of the SoC and the functionality and performance of different subsystems in the SoC. If you have a solid background in embedded software, system development or chip design, come join us! About the team Why AWS 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. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new 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, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of

Computer Based Training Specialist (Computer Based Training) 2 Locations posted: Posted Yesterday

Sr. Signal Integrity / Power Integrity Engineer, Annapurna Labs, Machine Learning Hardware Austin, Texas, USA Annapurna Labs (our organization within AWS) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. 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. We are seeking a Senior SI/PI Engineer (Signal Integrity and Power Integrity) who will play a key role in the definition, design and validation of AWS next generation machine learning ASICs. As a senior member of our hardware team, you will have a meaningful opportunity to participate in the design and execution of all SI related topics, with the goal of creating and customized platforms that fit within AWS datacenter's world leading technology. Candidates will be successful in this role with these skills: - Strong communication and teamwork skills, with the ability to interact effectively with cross-functional teams. - Decisive, yet collaborative, approach, balancing technical constraints with business and manufacturing considerations. - Problem-solving mindset, able to troubleshoot and resolve SI/PI-related challenges efficiently. Key job responsibilities - Perform end-to-end high-speed channel simulations to ensure signal integrity across complex designs. - Conduct SI/PI analysis to optimize PCB layouts, minimizing losses and signal degradation. - Utilize simulation tools such as ADS, MATLAB, Cadence, HFSS, and others to evaluate performance and troubleshoot issues. - Work with PCIe protocols

System Engineer (Generative AI - Salesforce Tech), COE Tech Bengaluru, Karnataka, IND Join Amazon COE Tech as an AI Engineer L4 and help build next-generation AI-powered products and intelligent automation solutions that drive business transformation at scale. This role provides an opportunity to work on cutting-edge Generative AI technologies, cloud-native architectures, and enterprise platforms including Salesforce and AWS. As an AI Engineer, you will design, develop, and implement scalable AI/GenAI solutions, integrate LLM-powered capabilities into enterprise workflows, and contribute to innovative products that improve productivity, insights, and customer experiences. We are looking for someone who is passionate about AI innovation, experimentation, and solving complex business problems using modern technologies. Key job responsibilities Design and develop AI/GenAI-powered applications and intelligent workflows Build integrations between AI platforms, AWS services, and Salesforce ecosystems Develop scalable APIs, backend services, and automation frameworks for AI solutions Work with LLMs, prompt engineering, embeddings, vector databases, and orchestration frameworks Collaborate with cross-functional teams to identify AI-driven business opportunities Implement secure, scalable, and high-performing cloud-native solutions on AWS Optimize AI model performance, response quality, and operational efficiency Stay updated with emerging AI technologies and drive innovation initiatives across the organization A day in the life As an AI Engineer L4 in Amazon Sales Tech, you will build scalable solutions across AWS, Salesforce, data platforms, and Generative AI technologies. Your day may involve developing APIs, automating workflows, designing intelligent AI-powered features, and integrating large-scale data systems. You will collaborate with engineers, product managers, and business stakeholders to solve complex

Software Engineering Manager, ML Kernel Performance, AWS Neuron, Annapurna Labs Cupertino, California, USA The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The Acceleration Kernel Library team is at the forefront of maximizing performance for AWS's custom ML accelerators. Working at the hardware-software boundary, our engineers craft high-performance kernels for ML functions, ensuring every FLOP counts in delivering optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch, enabling unparalleled ML inference and training performance. As part of the broader Neuron Compiler organization, our team works across multiple technology layers - from frameworks and compilers to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology This is an opportunity to work on cutting-edge products

ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team - Annapurna Labs Cupertino, California, USA Amazon Web Services 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. We have data center locations in the U.S., Europe, Singapore, and Japan, and customers across all industries. Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server. Our success depends on our world-class server infrastructure; we're handling massive scale and rapid integration of emergent technologies. We're looking for an ASIC Design Eengineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs. Key job responsibilities As an ASIC Design Engineer, you will: • Develop and implement high-performance, area and power-efficient RTL designs to meet project specifications and targets • Conduct in-depth analysis of designs, microarchitectures, and architectures to optimize trade-offs between features, power consumption, performance, and area requirements • Create microarchitectures, implement SystemVerilog RTL, and deliver synthesis and timing-clean designs with appropriate constraints • Execute lint and clock domain crossing quality checks to ensure design integrity • Collaborate closely with cross-functional teams, including architects, fellow designers, verification specialists, pre- and post-silicon validation teams, and synthesis, timing, and back-end experts The ideal candidate

Principal Applied Scientist, ML Codesign Sunnyvale, California, USA Define the joint optimization of model compression and silicon architecture for Amazon's next generation of edge and cloud inference accelerators. Your work will set the technical targets that propagate across the model, compiler, runtime, and silicon stack. We are hiring a Principal Applied Scientist to be the technical leader who closes the loop between compression science and silicon design. Today's generation ships advanced quantization and large-model distillation in production, running multi-billion parameter language models at inference economics typical of much larger systems. Future generations target significantly larger models at the edge and in the cloud. You will be a principal architect of the next-generation accelerator and of the compression algorithms it executes natively. Few roles in the industry let one technical leader influence the model, the compiler, the runtime, and the silicon without organizational friction. This is one of them. You have spent the last several years thinking about why hardware decisions and accuracy decisions live in different teams, and you want to be the person who owns both. You have published at MLSys, ISCA, MICRO, NeurIPS, or ICML on quantization, pruning, or hardware-aware training, and you want your next paper to ship in a chip rather than in a benchmark suite. You want a vertical stack-model, compression, compiler, runtime, operating system, silicon-where the same engineering organization owns every layer and a principal architect can move all of them. Key job responsibilities • Define the hardware-aware compression roadmap for next-generation accelerators, working

ML Kernel Performance Engineer, Edge AI and Science Vancouver, British Columbia, CAN Amazon Devices is an inventive research and development company that designs and engineers high-profile consumer products like the Kindle family, Fire Tablets, Fire TV, Health & Wellness devices, Amazon Echo, and Astro. We are building the next generation of edge AI capabilities through our advanced compression platform and custom neural accelerator silicon. Within Edge AI & Science, the AI Platform team builds a compression platform-the first of its kind-enabling 20-100x neural network compression for edge and cloud deployment. As model sizes grow from billions to hundreds of billions of parameters, compute efficiency becomes the single largest return on engineering investment during training. The gap between eager-mode Python and optimized GPU execution is where months of training time are won or lost. We are looking for an ML Kernel Performance Engineer to work at the hardware-software boundary of this platform, crafting high-performance CUDA and Triton kernels that make our compression algorithms run at peak efficiency during training, fine-tuning, and inference. You will build the tooling and kernel libraries that democratize GPU performance optimization across the team, enabling scientists and engineers to profile, diagnose, and fix kernel bottlenecks without needing to be CUDA experts themselves. Working alongside compression scientists and platform engineers, you will ensure that novel quantization schemes (ternary, nonary, mixed-precision) and sparse computation patterns translate into real throughput gains on GPU hardware. Your work will directly accelerate every training run in the organization and unlock deployment of compressed

Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team Austin, Texas, USA Utility Computing (UC) AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new 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, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services. Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. 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. About AWS 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. Diverse Experiences 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,

ASIC Engineer II, Cloud-Scale Machine Learning Acceleration team Cupertino, California, USA Utility Computing (UC) AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new 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, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services. Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. 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. About AWS 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. Diverse Experiences 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

Sr. Equipment Engineer Mexicali, , Mexico Company Description: It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive . As a global leader in robotic-assisted surgery and minimally invasive care , our technologies-like the da Vinci surgical system and Ion -have transformed how care is delivered for millions of patients worldwide. We're a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world. The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful-because every improvement we make has the potential to change a life. If you're ready to contribute to something bigger than yourself and help transform the future of healthcare , you'll find your purpose here. Job Description: Primary Function of Position: The Senior Equipment Engineer is responsible for designing, developing, validating, and maintaining manufacturing equipment to ensure efficient, compliant, and high-quality production of medical devices. This role drives continuous improvement initiatives using Six Sigma methodologies, establishes equipment standards, and provides technical leadership, including mentoring junior team members. Essential Job Duties Lead the design, specification, and procurement of new manufacturing equipment and tooling. Develop and maintain equipment standards and documentation for consistency and compliance. Apply Six Sigma principles (DMAIC, SPC, root cause analysis) to optimize

Sr. ML Kernel Performance Engineer, AWS Neuron, Annapurna Labs Cupertino, California, USA The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The Acceleration Kernel Library team is at the forefront of maximizing performance for AWS's custom ML accelerators. Working at the hardware-software boundary, our engineers craft high-performance kernels for ML functions, ensuring every FLOP counts in delivering optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch, enabling unparalleled ML inference and training performance. As part of the broader Neuron Compiler organization, our team works across multiple technology layers - from frameworks and compilers to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology This is an opportunity to work on cutting-edge products at

Controls & Cx H&S Manager, Data Center Planning and Delivery Herndon, Virginia, USA Application deadline: Jun 14, 2026 About AWS 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. Do you enjoy taking an idea and turning it into something? Do you ever find yourself marveling at buildings, infrastructure, or landmarks and ask "what does it take to build something like that?" This new role “Construction Safety Manager” is for an experienced Health and Safety (H&S) Specialist, H&S Engineer, or H&S Manager who will support AWS Data Center Planning and Delivery (DCPD) programs. Internally, you will partner with DCPD teams such as Real Estate, Due Diligence, Permitting, Energy, Water, Pre-Construction, Construction, Commissioning, Security and Procurement Teams to achieve health and safety goals and improve our safety culture. Externally, you will engage with General Contractors and AWS Suppliers to confirm/clarify the business expectations for H&S, and look for ways to continually improve H&S of our contracted services. You will work under the direction of H&S Program Specialists within the assigned region (Americas, Europe Middle East Africa, or Asia Pacific/Japan China). Key job responsibilities Key job responsibilities You will influence program development, framework and strategy but will be responsible for deploying programs that cover H&S elements of leadership, planning, support, operational controls, continuous improvement,

Principal Quality Analyst United States-Texas-Fort Worth RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: No CLEARANCE TYPE: None TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman Aeronautics Systems sector is seeking a Principal Quality Analyst to join our team of qualified and diverse individuals at our Fort Worth, Texa s facility where technology and teamwork come together. The qualified applicant will become part of Northrop Grumman's Mission Assurance (MA) organization. The successful candidate will: Develop and implement program quality plans, processes, and procedures using statistical quality control statistics, lean manufacturing concepts, and six-sigma tools and analyses. Ensure that performance and quality products conform to established company and regulatory standards Review, analyze and report on quality

ML Kernel Performance Engineer, AWS Neuron, Annapurna Labs Cupertino, California, USA The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The Acceleration Kernel Library team is at the forefront of maximizing performance for AWS's custom ML accelerators. Working at the hardware-software boundary, our engineers craft high-performance kernels for ML functions, ensuring every FLOP counts in delivering optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch, enabling unparalleled ML inference and training performance. As part of the broader Neuron Compiler organization, our team works across multiple technology layers - from frameworks and compilers to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology This is an opportunity to work on cutting-edge products at the