243 jobs found

AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the Trainium-based servers that use them. As the SDM of Software Development for the Neuron Training team, you will be responsible for leading a strong team of engineers and managers to help design and deploy these new products. A successful candidate will have an established background in developing Machine Learning products with direct customer-facing experience, a strong technical ability and a motivation to achieve results. Experience in Machine Learning and software development is also a must. Responsible for the full development life cycle of our integrations and extensions for training support in Pytorch, JAX, and distributed training libraries with a focus on performance of latest ML models at scale on Trainium using latest techniques in performance optimization, accuracy, and resilience. you will lead the way to ensure support for key ML functionality in a combined chip / software platform, which will ensure the right thing is being built and delivered to customers Key job responsibilities Lead a team of engineers focused on enabling new ML training customers on the Neuron SDK / Trainium platform. Own the customer onboarding journey from model evaluation through production training at scale Drive engineering initiatives to maximize Model FLOPS Utilization (MFU) for customer workloads through performance analysis, profiling, and tuning tools. Build and maintain tooling, automation, and documentation that accelerates time-to-first-training for new customer models. Partner with compiler, runtime, and framework teams to identify and resolve blockers in customer workloads. Develop scalable processes for distributed training enablement (FSDP, DeepSpeed, Megatron, custom parallelism strategies). Drive technical strategy for supporting frontier model architectures (LLMs, MoE, multi-modal) on Trainium. Build strong cross-functional partnerships with product management, developer relations, and customer-facing teams. Recruit, mentor, and grow a high-performing team of ML systems engineers. A day in the life You will work with the executive leadership and other senior management and technical leaders to define product directions and deliver them to customers. We build massive-scale distributed training and inference solutions. This organization builds the full stack of software, servers and chips to accelerate at the highest scale. About the team About Us Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future. BASIC QUALIFICATIONS - Experience working with PyTorch or JAX software - 3+ years of engineering team management experience - 7+ years of working directly within engineering teams experience - 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - Experience partnering with product or program management teams - 3+ years of experience in deep learning / machine learning, including model training workflows - Experience with distributed training at scale (multi-node, multi-accelerator) PREFERRED QUALIFICATIONS - Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware - Experience directly managing scientists or machine learning engineers - Experience debugging, profiling, and implementing best software engineering practices in large-scale systems - Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware, or experience with CUDA kernels or ML/low-level kernels - Experience with performance analysis, profiling, and optimization for deep learning training workloads Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Cupertino - 212 700.00 USD annually

Description: THE COMPANY For over 40 years, Aero Simulation, Inc. (ASI) has provided quality flight training devices to the US Military. ASI has successfully built numerous training systems with a primary focus on aircrew and maintenance training systems. Our current programs include, but are not limited to, the B-1 Training Systems (Air Force), E-2D Training Systems (Navy), CH-53E Training Devices (USMC), IMOMS (Coast Guard), Navigation, Seamanship, Shiphandling Trainer - NSST (Navy). To learn more about ASI visit Programs- Aero Simulation, Inc. ASI is a 100% employee-owned engineering and manufacturing company committed to supporting the nation's warfighters. Being 100% employee-owned directly impacts our culture: it drives our decision-making, motivates our teams, increases our productivity, improves retention and contributes to the future success of our company. Our culture is one where we work hard for our clients and for each other - and we have fun collaborating, sharing experience and expertise, and learning along the way. We strive to deliver exceptional quality, elevate client relationships, and enrich the careers and lives of our employee-owners. As Employee-Owners, we are invested in the success and continued development of each other and the company. In addition to the Employee Stock Ownership Plan (ESOP), we offer a flexible work environment, generous paid time off, professional development opportunities, industry competitive compensation, and superior benefits to include medical, dental, 401k and more! ASI is a great place to build a career and grow with a company that is dedicated to quality, service and to fostering a community of support for each and every member of the team. To learn more about this opportunity, keep reading! POSITION SUMMARY The Flight Dynamics Engineer develops, integrates, tests, and validates physics-based aircraft models to ensure simulator performance accurately represents the actual aircraft. This includes modeling and evaluating aerodynamics, propulsion, equations of motion, atmospheric effects, ground reaction, flight controls, and other systems that influence aircraft behavior and performance. It can also include the engineer generating theoretical data through means of computational fluid dynamics (CFD), wind tunnel analysis, or equation driven modeling In lieu of aircraft data. The Flight Dynamics Engineer analyzes aircraft performance and engineering data, investigates differences between simulated and actual aircraft behavior, and develops or modifies software models to achieve required simulator fidelity. This position also develops and executes Automatic Fidelity Tests (AFTs) to satisfy Qualification Test Guides (QTGs) and other verification and validation methods to demonstrate simulator performance against aircraft data, system requirements, and customer expectations. ESSENTIAL DUTIES AND RESPONSIBILITIES Develop, modify, integrate, test, and maintain mathematical and physics-based models of aircraft behavior, including aerodynamics, propulsion, equations of motion, atmospheric effects, ground reaction, flight controls, automatic flight control systems, motion, vibration, and related simulation systems. Analyze aircraft performance, flight test, engineering, and other available source data to develop, tune, and validate simulation models. Develop, execute, and analyze Automatic Fidelity Tests (AFTs) and other verification and validation methods to assess simulator performance against aircraft data and applicable requirements. Develop Qualification Test Guides (QTGs) for simulator validation in accordance with FAA Part 60, AC120-40B(C), or contract equivalent variants. Investigate discrepancies between simulated and actual or expected aircraft performance and determine appropriate model, software, or system corrections. Develop new and modify existing simulation software using C/C++ and other applicable programming or scripting languages in Linux and Windows environments. Support design reviews, engineering analyses, simulations, integration activities, and component/system testing to ensure products meet technical, contractual, and customer requirements. Support hardware/software integration, including interfaces with control loading, motion, cockpit, and other simulator systems. Physically and logically troubleshoot and debug simulation systems, software, models, interfaces, and computer configurations. Collaborate with engineers from multiple disciplines to identify, troubleshoot, and resolve technical issues throughout the software development, integration, and testing process. Recommend and incorporate improvements to simulator models, software designs, engineering processes, test methodologies, and technical documentation. Develop and maintain technical documentation associated with models, software, testing, analysis, configuration, and system performance. Support simulator qualification, acceptance testing, customer evaluations, and other verification and validation activities, as applicable. Work with project teams and engineers of varying disciplines to successfully deliver new or modified simulator capabilities within established technical, schedule, and contractual requirements. At the Mid and Senior levels, provide technical guidance, mentoring, and knowledge transfer to less experienced engineers. Perform other related duties as assigned. SUPERVISORY RESPONSIBILITIES This position has no formal supervisory responsibilities. Mid- and Senior-level employees may provide technical guidance, mentoring, and knowledge transfer to less experienced engineers. Requirements: LEVEL EXPECTATIONS Entry Level - 0 to 3 Years Apply foundational knowledge of aerodynamics, aircraft dynamics, stability and control, propulsion, and related engineering principles to flight simulation applications. Develop, modify, test, and troubleshoot simulation models and software under appropriate technical guidance. Analyze engineering data and simulation results to identify discrepancies and support model development and validation. Participate in software development, integration, testing, and technical documentation activities. Develop technical knowledge of simulator architecture, aircraft systems, fidelity requirements, and ASI engineering processes. Academic projects, internships, research, laboratory experience, and other relevant technical experience may be considered when evaluating Entry-level candidates. Mid-Level - 3 to 7 Years Independently develop, modify, integrate, and validate flight dynamics models and associated simulation software. Analyze complex aircraft performance and simulation data to identify and resolve model or system discrepancies. Develop and execute fidelity testing and evaluate results against established requirements. Troubleshoot complex software, modeling, integration, and simulator performance issues. Support technical reviews, integration activities, customer testing, and simulator qualification or acceptance activities. Provide technical guidance and knowledge transfer to less experienced engineers. Senior Level - 7+ Years Lead complex flight dynamics modeling, integration, verification, and validation efforts. Provide technical direction for the development, modification, and validation of aircraft models and associated simulation software. Analyze and resolve complex aircraft performance, fidelity, integration, and simulator system issues. Evaluate technical approaches and recommend improvements to models, software architecture, testing methodologies, and engineering processes. Serve as a technical resource during design reviews, customer evaluations, simulator qualification, acceptance testing, and other major program activities. Mentor and provide technical guidance to engineers and support the development of organizational flight simulation expertise. Support technical planning, risk identification, estimation, and execution of flight dynamics activities across assigned projects. REQUIRED QUALIFICATIONS Knowledge and experience should be commensurate with the level of the position. Knowledge of aerodynamics, aircraft dynamics, aircraft performance, stability and control, propulsion, and other aeronautical principles applicable to flight simulation. Knowledge of mathematical and physics-based modeling of aircraft behavior. Knowledge of software design, development, debugging, and testing principles as applied to real-time flight simulation. Academic or professional experience with C and/or C++. Academic or professional experience developing or executing software in Linux and/or Windows environments. Ability to analyze engineering data, simulation results, and technical documentation to support model development and validation. Understanding of software configuration management and experience with a version control system such as Git or SVN. Understanding of hardware/software interfaces and large-scale or integrated software systems. Ability to troubleshoot technical issues involving software, mathematical models, system interfaces, and simulator behavior. Ability to work effectively with multidisciplinary engineering and project teams. Ability to communicate technical information effectively to audiences with varying levels of technical knowledge. . click apply for full job details

Operations is at the heart of Amazon's business. We are known for our speed, accuracy, and exceptional service. Our buildings deliver tens of thousands of products to hundreds of countries worldwide, every day. The Reliability & Maintenance Engineering (RME) team are the business partners that work tirelessly behind the scenes to make it happen. We drive continuous improvement, and maintain all the robotics and material handling equipment (MHE) to ensure our customers are met with the Amazon smile. Come join us on our journey! About the Role: As a Senior Automation Engineer, you will play a crucial role in maximizing equipment reliability and operational performance in our fulfillment centers by providing proactive controls automation and technical support. Your expertise will be essential in troubleshooting complex control systems, analyzing performance metrics, and driving continuous improvement initiatives. You'll mentor junior engineers and lead cross-functional teams to optimize material handling equipment (MHE) systems, implement innovative projects, and develop system design improvements to enhance site throughput. You'll work with state-of-the-art technology, including conveyors, sortation systems, scanners, cameras, print and apply systems, and SCADA devices and programs. Through your technical leadership and design optimization efforts, you'll directly contribute to ensuring our customers receive their orders with Amazon's signature speed and accuracy while building team capabilities and driving operational excellence. What Do We Offer? Amazon offers competitive compensation packages including comprehensive healthcare benefits starting on Day 1, matching 401(k) program, and up to 20 weeks of paid parental leave. But wait, there's more: We provide lightweight fire-resistant daily wear and composite toe safety shoes for your safety! Key job responsibilities Key job responsibilities include, but are not limited to: - You will apply Subject Matter Expertise (SME) on troubleshooting and dive deeps for engineering issues, supporting automation engineers to investigate the root cause and planning actions to eliminate/mitigate the downtime of critical assets - You will collaborate with building Operations, Operations Engineering teams, FC Start-up Team, AFT Software teams, ACES team, and Safety to support MHE systems optimization and project implementation - You will understand, maintain and troubleshoot material handling control systems, including PLC/PC controllers and industrial networks such as Ethernet, ControlNet, DeviceNet, Profibus, motor control systems, servo drives, frequency drives, and electrical distribution systems - You will monitor MHE metrics and partner with maintenance/operations to address system performance issues and provide analysis across all operations - You will provide escalation support to automation engineers, during and after business hours, troubleshooting locally and remotely, to ensure that all hardware or controls software within the building is repaired on time - You must be able to move up to 49lbs, stand and walk during shifts lasting up to 12 hours, climb ladders and gangways safely and without limitation, as well as perform regular bending, lifting, stretching, and reaching both below the waist and above the head BASIC QUALIFICATIONS - Bachelor's degree in computer science, electrical engineering, automation engineering, or equivalent, or 4+ years of PLC programming or automation engineering experience - Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays - 4+ years of process or production environment related PLC-controlled automation and issue diagnosis experience - 4+ years of robotics work cells and control systems experience - 4+ years of Siemens, Allen-Bradley or Codesys Ladder Logic and structure programming experience - 4+ years of electrical theory, robotics, controls components, and automated equipment experience PREFERRED QUALIFICATIONS - Master's degree in computer science, electrical engineering, automation engineering, or equivalent - Master's degree, or Six Sigma Black Belt certification - Experience leading controls in manufacturing or complex industrial environments - Experience identifying, maintaining, troubleshooting, and modifying Motor Controls including motor starters, Variable Frequency Drives, DC drives, and standard electrical components - Experience interpreting and modifying mechanical and electrical drawings Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, IN, Greenfield - 114 200.00 USD annually

Be a part of our mission! As a world leader in creating comfortable, sustainable, and efficient climate solutions for buildings, homes and transportation, it's our responsibility to put the planet first. For us at Trane Technologies , and through our businesses including Trane and Thermo King , sustainability is not just how we do business-it is our business. Do you dare to look at the world's challenges and see impactful possibilities? Do you want to contribute to making a better future? If the answer is yes, we invite you to consider joining us in boldly challenging what's possible for a sustainable world. Learn about our benefits designed for you to Thrive at work and at home. We boldly go. Where is the work: Monday to Thursday, work onsite with your colleagues. Fridays, choose your work location, balancing what your work requires. As a Thermal Systems Engineer, you will work as part of our Thermal Systems team and will be responsible for concept development, design and design verification of heat exchanger and fluid flow components for application to global refrigeration products. Typical components are round tube plate fin (RTPF) and micro-channel (MCHE) coils, brazed plate heat exchangers (BPHE) and shell & tube refrigerant evaporators as well as condensers for commercial HVAC products. Your ability to be creative or innovative and use design tools and apply them to the development and implementation of new heat transfer components will be crucial to enable efficiency increases and greenhouse gas emission reductions for our products. Core Job Responsibilities (others may be added): Help conduct new technology, productivity and new product development projects to design new products or components and improve the function, reliability or cost of existing products and components. Help develop and improve tools and processes used for the design and integration of new heat exchange components within our Commercial HVAC product lines. Perform and document engineering analysis required to design, verify performance, and reliability of HVAC components and products. Plan and help direct laboratory tests to support product design and verification and work with suppliers to obtain component designs that meet product requirements. Support and potentially lead ad hoc teams of engineers and others through short duration projects. Work effectively across functional lines (development, production, design, marketing, suppliers). Minimum Qualifications: Bachelor's Degree in Engineering and at least 2 years of engineering work experience is required. Professional Engineer or Master's Degree in Engineering is a plus. Essential Skills or Knowledge: Fundamental knowledge of vapor compression HVAC technologies and components using various high, medium, and low-pressure HCFC, HFC and HFO refrigerants. Knowledge of single and two-phase fluid flow as it relates to design of air to refrigerant or water to refrigerant evaporators and condensers and ability to develop physical based models of their performance. Knowledge of the design, performance prediction and cost analysis process for air to refrigerant or water to refrigerant heat exchangers applied to the process of refrigerant evaporation and condensation. Good understanding of the application of computer simulation tools and theory to HVAC system design. Have a quality and customer service orientation towards engineering design. Ability to understand, condense and organize information necessary to make engineering decisions quickly and efficiently. Resilient team player with the dual ability to work as a team player or a team leader. Ability to effectively communicate with others both written and orally. Be a self-starter with a high energy level and a high commitment to career. Ability to make progress by producing deliverables and completing projects in a multi-tasking environment. Annual Base Salary Range or Hourly Base Pay Range: $84,740.00 - $118,860.00 Compensation Type: Salary Incentive Eligible: No Sales Commission Eligible: No Disclaimer: We strive to provide competitive compensation for this position, tailored to a variety of factors. The actual compensation will depend on elements such as seniority, merit, geographic location, education, experience, travel requirements, and union designation. Our compensation range is generally based on the national average for the country. Additionally, benefits may vary depending on the region, business alignment, union involvement, and employee status. Thrive at work and at home: Benefits kick in on DAY ONE for you and your family, including health insurance and holistic wellness programs that include generous incentives - WE DARE TO CARE! Family building benefits include fertility coverage and adoption/surrogacy assistance. 401K match up to 6%, plus an additional 2% core contribution = up to 8% company contribution. Paid time off includes 15 vacation days, 9 paid holidays, 3 floating holidays, sick leave, and additional options to support volunteer and parental leave. Educational and training opportunities through company programs along with tuition assistance and student debt support. Disclaimer: Benefit offerings may vary depending on Collective Bargaining Agreements and local/state regulations. Safety Sensitive Role: No The company designates certain roles as Safety Sensitive. Safety Sensitive roles may require that you pass additional drug screening. We offer competitive compensation and comprehensive benefits and programs. We are an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, age, marital status, disability, status as a protected veteran, or any legally protected status.

AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the servers that use them. As the Software Development Engineer for the Neuron Runtime Team, you will be responsible for working alongside a team of engineers to develop and maintain high-performance runtime libraries and drivers for machine learning applications and AI accelerators. You will work on design, development, and deployment of Neuron Runtime and other Neuron components. The profiler plays a crucial role to internal and external customers in optimizing AI workloads across hardware platforms such as Trainium and Inferentia devices, by providing deep insights into performance bottlenecks and system behavior. Improving performance of ML Kernels and ML Frameworks. In this role, you will manage the full development life cycle of the Neuron Runtime, ensuring scalability, reliability, and usability. You will collaborate with cross-functional teams to ensure that the our C++ compiler generates key information so customers can understand and optimize the performance of our custom hardware. Additionally, you will drive innovations that allow the profiler to support multiple frameworks, such as PyTorch, JAX, and XLA. A successful candidate will have experience in architecting, building, and operating distributed systems with a focus on high availability and fault tolerance, Hands-on experience with AWS services (e.g., EC2, ECS, CloudWatch, S3, Lambda) in production environments and track record in Owning services end-to-end including deployment, monitoring, alarming, on-call, and post-incident review. A day in the life You will work with the executive leadership and other senior management and technical leaders to define product directions and deliver them to customers. We build massive-scale distributed training and inference solutions. This organization builds the full stack of software, servers and chips to accelerate at the highest scale. About the team Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Cupertino - 165 600.00 USD annually USA, WA, Seattle - 143 400.00 USD annually

The Product: AWS Machine Learning accelerators are at the forefront of AWS innovation. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud. Trainium delivers the best-in-class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by edge software stack, the AWS Neuron Software Development Kit (SDK), which includes an ML compiler, runtime and natively integrates into popular ML frameworks, such as PyTorch and JAX. .AWS Neuron and Trainium are used at scale with customers and partners like PyTorch, Anthropic, Poolside, Decart, Epic Games, Snap, AirBnB, Autodesk, Amazon Alexa, and more customers in various other segments. The Team: The Amazon Annapurna Labs team is a responsible for building innovation in silicon and software for AWS customers. We are at the forefront of innovation by combining cloud scale with the world's most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design and verification, software and operations. With such breadth of talent, there's opportunity to learn all of the time. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We're inventing. We're experimenting. When you couple that with the ability to work on so many different products and services, it's a very unique learning culture. Learn more about Our History: You: We are seeking a talented SW Engineering Manager with strong leadership/ mentoring skills to join our Deep Learning Compiler Team. As a Manager III you be leading a team of experienced compiler engineers developing compiler optimization algorithms and deploying, at scale, a new compiler targeting AWS custom hardware. You'll need to be technically capable, credible, and curious in your own right as a trusted AWS Neuron Manager, innovating on behalf of our customers. You'll leverage your technical communications skill as a hands-on partner to AWS ML services teams, involved in pre-silicon design, bringing new products/features to market. As deep learning models become more versatile, using compiler technologies to achieve both high performance and high productivity becomes essential. Join the team to build the software that will boost the entire deep learning community. You will have deep knowledge of resource management, scheduling, code generation, optimization, and new instruction architectures including CPU, NPU, GPU and novel forms of compute. Explore the Product: In order to be considered for this role, candidates must be currently located or willing to relocate to Cupertino (preferred), Seattle, or Austin. About the team Inclusive Team Culture Here at Annapurna Labs, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences. Amazon's culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. BASIC QUALIFICATIONS - 5+ years of engineering team management experience - 9+ years of working directly within engineering teams experience - 4+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - Experience partnering with product or program management teams - Deep understanding of compilers (resource management, instruction scheduling, code generation, and compute graph optimization) - Strong software design fundamentals and excellent system-level coding skills with an emphasis on graph theory and performance techniques PREFERRED QUALIFICATIONS - PhD in computer science, computer engineering, or related field, or MS degree - Experience with general troubleshooting/debugging of hardware, or experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware - Experience with XLA, TVM, MLIR, LLVM, deep learning models and algorithms, and deep learning framework design. - Interactions with open-source communities, in either a leadership or code contributor role Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Cupertino - 212 700.00 USD annually

The Product: AWS Machine Learning accelerators are at the forefront of AWS innovation. Trainium delivers best-in-class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by the AWS Neuron Software Development Kit (SDK), which includes an ML compiler, the Neuron Kernel Interface (NKI) compiler, and a runtime that natively integrates into popular ML frameworks such as PyTorch and JAX. Neuron Kernel Interface (NKI) is a bare-metal language and compiler for directly programming NeuronDevices available on AWS Trainium instances. You can use NKI to develop, optimize, and run new operators directly on NeuronCores while making full use of available compute and memory resources. Explore NKI: - AWS Neuron is used at scale by customers such as Epic Games, Snap, Airbnb, Autodesk, Amazon Alexa, and Amazon Rekognition, along with many others across a range of segments. The Team: The Amazon Annapurna Labs team is responsible for building innovative silicon and software for AWS customers. We are at the forefront of innovation, combining cloud scale with the world's most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design and verification, software, and operations. With such breadth of talent, there is opportunity to learn all of the time. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We're inventing. We're experimenting. When you couple that with the ability to work on so many different products and services, it makes for a unique learning culture. Learn more about our history: You: We are seeking a talented Software Development Manager with strong leadership and mentoring skills to join our NKI development team. As an SDM III, you will lead a team of experienced compiler engineers developing compiler optimization algorithms and deploying, at scale, a new compiler targeting AWS custom hardware. You will need to be technically capable, credible, and curious in your own right as a trusted AWS Neuron manager, innovating on behalf of our customers. You will draw on knowledge of resource management, scheduling, code generation, optimization, and instruction architectures across CPU, NPU, GPU, and novel forms of compute. You will leverage your technical communication skills to partner with AWS ML services teams and pre-silicon design, and to bring new products and features to market. As deep learning models become more versatile, using compiler technologies to achieve both high performance and high productivity becomes essential. Join the team to build the software that boosts the entire deep learning community. Explore the Product: - - In order to be considered for this role, candidates must be currently located in or willing to relocate to Cupertino, CA. Key job responsibilities - Lead, grow, and mentor a team of compiler engineers, including hiring, career development, and team health - Own execution and delivery of NKI compiler features across release cycles, balancing scope, quality, and timelines - Set technical direction and roadmap for your area of the NKI compiler in partnership with senior engineers - Partner across teams, including frameworks, kernel development, runtime, hardware/pre-silicon design, and product management, to bring new features to market - Drive resolution of complex, high-priority technical issues, staying close enough to the code and hardware to guide the team - Represent your team's work and priorities to senior leadership and cross-organizational stakeholders - Anchor decisions in customer impact, ensuring the team builds what unblocks real ML workloads on Trainium A day in the life No two days look the same on the NKI team, but most blend people leadership, technical depth, and cross-team collaboration. You might start the morning in a 1:1 with an engineer, working through the design of a new compiler optimization or unblocking a tricky scheduling problem. Mid-morning, you join a release sync to check in on branch-cut readiness and make a call on what makes the current train versus the next. After lunch, you catch up with a partner team, kernel developers, runtime, or hardware design, to align on an upcoming feature and its dependencies. In the afternoon, you spend focused time on the roadmap: shaping where NKI is heading over the next few quarters, and translating customer needs into concrete technical investments. You review a design doc, leave feedback that sharpens the team's thinking, and dig into a profiling result yourself to understand where a real workload is leaving performance on the table. You close the day by clearing a path for your team and resolving an escalation, connecting two people who should be talking, or writing up a decision so the team can move fast tomorrow. Throughout, you keep one question at the center: what does this unblock for our customers? You are technically credible enough to earn your team's trust, and you spend your energy on the highest-leverage problems: growing your people, delivering the compiler, and inventing on behalf of the customers who run their most demanding ML workloads on Trainium. About the team Inclusive Team Culture Here at Annapurna Labs, we embrace our differences. We are committed to furthering our culture of inclusion. Amazon has ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences. Amazon's culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. BASIC QUALIFICATIONS - 2+ years of engineering team management experience - 6+ years of working directly within engineering teams experience - 4+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - Experience partnering with product or program management teams - Understanding of compilers (resource management, instruction scheduling, code generation, and compute graph optimization) - Strong software design fundamentals and excellent system-level coding skills PREFERRED QUALIFICATIONS - M.S. or Ph.D. in Computer Science or related technical field Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support . click apply for full job details

Operations is at the heart of Amazon's business. We are known for our speed, accuracy, and exceptional service. Our buildings deliver tens of thousands of products to hundreds of countries worldwide, every day. The Reliability & Maintenance Engineering (RME) team are the business partners that work tirelessly behind the scenes to make it happen. We drive continuous improvement, and maintain all the robotics and material handling equipment (MHE) to ensure our customers are met with the Amazon smile. Come join us on our journey! About the Role: As a Senior Automation Engineer, you will play a crucial role in maximizing equipment reliability and operational performance in our fulfillment centers by providing proactive controls automation and technical support. Your expertise will be essential in troubleshooting complex control systems, analyzing performance metrics, and driving continuous improvement initiatives. You'll mentor junior engineers and lead cross-functional teams to optimize material handling equipment (MHE) systems, implement innovative projects, and develop system design improvements to enhance site throughput. You'll work with state-of-the-art technology, including conveyors, sortation systems, scanners, cameras, print and apply systems, and SCADA devices and programs. Through your technical leadership and design optimization efforts, you'll directly contribute to ensuring our customers receive their orders with Amazon's signature speed and accuracy while building team capabilities and driving operational excellence. What Do We Offer? Amazon offers competitive compensation packages including comprehensive healthcare benefits starting on Day 1, matching 401(k) program, and up to 20 weeks of paid parental leave. But wait, there's more: We provide lightweight fire-resistant daily wear and composite toe safety shoes for your safety! Key job responsibilities Key job responsibilities include, but are not limited to: - You will apply Subject Matter Expertise (SME) on troubleshooting and dive deeps for engineering issues, supporting automation engineers to investigate the root cause and planning actions to eliminate/mitigate the downtime of critical assets - You will collaborate with building Operations, Operations Engineering teams, FC Start-up Team, AFT Software teams, ACES team, and Safety to support MHE systems optimization and project implementation - You will understand, maintain and troubleshoot material handling control systems, including PLC/PC controllers and industrial networks such as Ethernet, ControlNet, DeviceNet, Profibus, motor control systems, servo drives, frequency drives, and electrical distribution systems - You will monitor MHE metrics and partner with maintenance/operations to address system performance issues and provide analysis across all operations - You will provide escalation support to automation engineers, during and after business hours, troubleshooting locally and remotely, to ensure that all hardware or controls software within the building is repaired on time - You must be able to move up to 49lbs, stand and walk during shifts lasting up to 12 hours, climb ladders and gangways safely and without limitation, as well as perform regular bending, lifting, stretching, and reaching both below the waist and above the head BASIC QUALIFICATIONS - Bachelor's degree in computer science, electrical engineering, automation engineering, or equivalent, or 4+ years of PLC programming or automation engineering experience - Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays - 4+ years of process or production environment related PLC-controlled automation and issue diagnosis experience - 4+ years of robotics work cells and control systems experience - 4+ years of Siemens, Allen-Bradley or Codesys Ladder Logic and structure programming experience - 4+ years of electrical theory, robotics, controls components, and automated equipment experience PREFERRED QUALIFICATIONS - Master's degree in computer science, electrical engineering, automation engineering, or equivalent - Master's degree, or Six Sigma Black Belt certification - Experience leading controls in manufacturing or complex industrial environments - Experience identifying, maintaining, troubleshooting, and modifying Motor Controls including motor starters, Variable Frequency Drives, DC drives, and standard electrical components - Experience interpreting and modifying mechanical and electrical drawings Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, VA, Fredericksburg - 114 200.00 USD annually

Do you want to be part of AI revolution? At AWS our vision is to make deep learning pervasive for everyday developers and to democratize access to cutting-edge infrastructure. In order to deliver on that vision, we've created innovative software and hardware solutions that make it possible. AWS Neuron is the SDK that optimizes the performance of complex ML models executed on AWS Inferentia and Trainium, our custom chips designed to accelerate deep-learning workloads This role is for a senior software engineer in the Compiler team for AWS Neuron. As part of this role, you will be responsible for building next generation Neuron compiler which transforms ML models written in ML frameworks (e.g, PyTorch, TensorFlow, and JAX) to be deployed AWS Inferentia and Trainium based servers in the Amazon cloud. You will be responsible for solving hard compiler optimization problems to achieve optimum performance for variety of ML model families including massive scale large language models like Llama, Deepseek, and beyond as well as stable diffusion, vision transformers and multi-model models. You will be required to understand how these models work inside-out to make informed decisions on how to best coax the compiler to generate optimal implementation instruction. You will leverage your technical communications skill to partner with other teams and will be involved in pre-silicon design, bringing new products/features to market, and many other exciting projects. Experience in object-oriented languages like C++/Java is a must, experience with compilers or building ML models using ML frameworks on accelerators (e.g., GPUs) is preferred but not required. Experience with technologies like OpenXLA, StableHLO, MLIR will be added bonus! Explore the product and our history! 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. Key job responsibilities You will design, implement, test, deploy and maintain innovative software solutions to transform Neuron compiler's performance, stability and user-interface. You will work side by side with chip architects, runtime/OS engineers, scientists and ML Apps teams to seamlessly deploy cutting edge ML models from our customers on AWS accelerators with optimal cost/performance benefits. You will have opportunity to become front-face of Neuron Compiler to work with open-source communities (e.g., StableHLO, OpenXLA, MLIR) and influence industry wide partners to pioneer optimizing cutting-edge ML workloads on AWS software and hardware. You will also work on building innovative features that will deliver best possible experiences for our customers - developers across the globe. A day in the life As you design and code solutions to help our team drive efficiencies in compiler architecture, you'll create compiler optimization and verification passes, build features surface features and peculiarities of AWS accelerators to developers, implement tools to analyze numerical errors, and resolve the root cause of compiler defects. You'll also participate in design discussions, code review, and communicate with internal (other Neuron SDK and Amazon wide teams) and external stakeholders (open-source communities and respond to Neuron compiler related questions in open forums, e.g. GitHub). Lastly, work in a startup-like development environment, where you're always working on the most important stuff. About the team About the Team Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. 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 followed a traditional path, or includes alternative experiences, don't let it stop you from applying. 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. 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 inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 2+ years of experience in developing compiler features and optimizations - Proficiency with 1 or more of the following programming languages: C++ (preferred), C, Python PREFERRED QUALIFICATIONS - Master or PhD degree in computer science or equivalent - Proficiency with resource management, scheduling, code generation, and compute graph optimization - Experience optimizing Tensorflow, PyTorch or JAX deep learning models - Experience with multiple toolchains and Instruction Set Architectures Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Cupertino - 193 500.00 USD annually

Amazon Leo is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband connectivity to unserved and underserved communities around the world. As a Senior Phased Array Architect, you will lead critical efforts to design and deliver next-generation antenna systems that will redefine how people connect to the internet. you will: - Define and lead the architectural vision for advanced phased array antenna systems, ensuring they align with performance, scalability, and reliability goals. - Serve as the technical authority on phased array systems, providing strategic input on program decisions and long-term technology roadmaps. - Drive system-level design and optimization, creating blueprints that guide RF, digital, and hardware teams across the organization. - Oversee system integration, ensuring seamless interaction between phased array systems, RF front-ends, and digital beamforming architectures. - Guide cross-functional teams-including RF, software, and systems engineers-to implement designs that meet stringent performance, power, and thermal targets. - Collaborate with product management, supply chain, and operations to ensure architectural decisions align with business goals and production realities. - Set architectural direction for manufacturability and testability, ensuring designs are robust, scalable, and ready for high-volume production. - Mentor and develop junior engineers, cultivating a team culture of technical excellence and innovation. Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. BASIC QUALIFICATIONS - Bachelor's degree or above in electrical engineering, computer engineering, or equivalent - 7+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience leading cross-functional teams to deliver products and projects on tight deadlines - Experience in phased array design principles, including beamforming, steering, and calibration. - Experience with RF front-end design, high-speed digital systems, and signal integrity. - Experience with system modeling tools and architectural design methodologies. PREFERRED QUALIFICATIONS - Master's degree in electrical engineering, computer engineering, or equivalent - Experience in Space Vehicle/Satellite Operations, Space Communications or related industry - Experience in wireless system design and architecture, system integration, and RF system analysis - Experience in high-volume manufacturing environments - Familiarity with EM simulation tools (e.g., CST, HFSS, ADS) and system-level modeling platforms. - Knowledge of at least one modern programming or scripting language such as C, C++, Python, or MATLAB Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Redmond - 137 700.00 USD annually

C&S Employment Solutions seeks an Overnight IT Systems & Network Support Engineer to monitor and support client infrastructure across servers, networks, and cloud systems. In this role, you will troubleshoot incidents, resolve tickets, and perform routine maintenance, backups, and patching during overnight shifts to ensure uptime and performance. You'll collaborate with day-shift teams, document issues, and follow ITIL-based processes. This position offers exposure to diverse environments, client interaction, and opportunities to grow skills in systems administration, networking, and security within a people-focused staffing firm. Responsibilities Monitor servers, networks, and critical systems during overnight shifts to ensure uptime and performance. Respond to alerts and tickets, diagnosing and resolving systems and network incidents within defined SLAs. Perform routine maintenance, patching, backups, and health checks on servers and network devices. Escalate complex issues to senior engineers and coordinate with day-shift teams for follow-up. Maintain accurate documentation of incidents, changes, and configurations in ticketing and knowledge systems. Follow security and compliance best practices when managing systems and network access. Support onboarding and offboarding tasks such as account provisioning and permissions updates. Collaborate with C&S Employment Solutions teams and clients to communicate status and resolution of issues. Required Skills Windows and Linux server administration Network monitoring and troubleshooting TCP/IP, DNS, DHCP, VPNFirewall and security best practices Incident and ticket management (ITIL) Backup and recovery tools System performance monitoring tools Scripting or automation (Power Shell, Bash) Cloud platforms (AWS, Azure, or similar) Documentation and knowledge base management

C&S Employment Solutions seeks an Overnight IT Systems & Network Support Engineer to monitor and support client infrastructure across servers, networks, and cloud systems. In this role, you will troubleshoot incidents, resolve tickets, and perform routine maintenance, backups, and patching during overnight shifts to ensure uptime and performance. You'll collaborate with day-shift teams, document issues, and follow ITIL-based processes. This position offers exposure to diverse environments, client interaction, and opportunities to grow skills in systems administration, networking, and security within a people-focused staffing firm. Responsibilities Monitor servers, networks, and critical systems during overnight shifts to ensure uptime and performance. Respond to alerts and tickets, diagnosing and resolving systems and network incidents within defined SLAs. Perform routine maintenance, patching, backups, and health checks on servers and network devices. Escalate complex issues to senior engineers and coordinate with day-shift teams for follow-up. Maintain accurate documentation of incidents, changes, and configurations in ticketing and knowledge systems. Follow security and compliance best practices when managing systems and network access. Support onboarding and offboarding tasks such as account provisioning and permissions updates. Collaborate with C&S Employment Solutions teams and clients to communicate status and resolution of issues. Required Skills Windows and Linux server administration Network monitoring and troubleshooting TCP/IP, DNS, DHCP, VPNFirewall and security best practices Incident and ticket management (ITIL) Backup and recovery tools System performance monitoring tools Scripting or automation (Power Shell, Bash) Cloud platforms (AWS, Azure, or similar) Documentation and knowledge base management

C&S Employment Solutions seeks an Overnight IT Systems & Network Support Engineer to monitor and support client infrastructure across servers, networks, and cloud systems. In this role, you will troubleshoot incidents, resolve tickets, and perform routine maintenance, backups, and patching during overnight shifts to ensure uptime and performance. You'll collaborate with day-shift teams, document issues, and follow ITIL-based processes. This position offers exposure to diverse environments, client interaction, and opportunities to grow skills in systems administration, networking, and security within a people-focused staffing firm. Responsibilities Monitor servers, networks, and critical systems during overnight shifts to ensure uptime and performance. Respond to alerts and tickets, diagnosing and resolving systems and network incidents within defined SLAs. Perform routine maintenance, patching, backups, and health checks on servers and network devices. Escalate complex issues to senior engineers and coordinate with day-shift teams for follow-up. Maintain accurate documentation of incidents, changes, and configurations in ticketing and knowledge systems. Follow security and compliance best practices when managing systems and network access. Support onboarding and offboarding tasks such as account provisioning and permissions updates. Collaborate with C&S Employment Solutions teams and clients to communicate status and resolution of issues. Required Skills Windows and Linux server administration Network monitoring and troubleshooting TCP/IP, DNS, DHCP, VPNFirewall and security best practices Incident and ticket management (ITIL) Backup and recovery tools System performance monitoring tools Scripting or automation (Power Shell, Bash) Cloud platforms (AWS, Azure, or similar) Documentation and knowledge base management

C&S Employment Solutions seeks an Overnight IT Systems & Network Support Engineer to monitor and support client infrastructure across servers, networks, and cloud systems. In this role, you will troubleshoot incidents, resolve tickets, and perform routine maintenance, backups, and patching during overnight shifts to ensure uptime and performance. You'll collaborate with day-shift teams, document issues, and follow ITIL-based processes. This position offers exposure to diverse environments, client interaction, and opportunities to grow skills in systems administration, networking, and security within a people-focused staffing firm. Responsibilities Monitor servers, networks, and critical systems during overnight shifts to ensure uptime and performance. Respond to alerts and tickets, diagnosing and resolving systems and network incidents within defined SLAs. Perform routine maintenance, patching, backups, and health checks on servers and network devices. Escalate complex issues to senior engineers and coordinate with day-shift teams for follow-up. Maintain accurate documentation of incidents, changes, and configurations in ticketing and knowledge systems. Follow security and compliance best practices when managing systems and network access. Support onboarding and offboarding tasks such as account provisioning and permissions updates. Collaborate with C&S Employment Solutions teams and clients to communicate status and resolution of issues. Required Skills Windows and Linux server administration Network monitoring and troubleshooting TCP/IP, DNS, DHCP, VPNFirewall and security best practices Incident and ticket management (ITIL) Backup and recovery tools System performance monitoring tools Scripting or automation (Power Shell, Bash) Cloud platforms (AWS, Azure, or similar) Documentation and knowledge base management

C&S Employment Solutions seeks an Overnight IT Systems & Network Support Engineer to monitor and support client infrastructure across servers, networks, and cloud systems. In this role, you will troubleshoot incidents, resolve tickets, and perform routine maintenance, backups, and patching during overnight shifts to ensure uptime and performance. You'll collaborate with day-shift teams, document issues, and follow ITIL-based processes. This position offers exposure to diverse environments, client interaction, and opportunities to grow skills in systems administration, networking, and security within a people-focused staffing firm. Responsibilities Monitor servers, networks, and critical systems during overnight shifts to ensure uptime and performance. Respond to alerts and tickets, diagnosing and resolving systems and network incidents within defined SLAs. Perform routine maintenance, patching, backups, and health checks on servers and network devices. Escalate complex issues to senior engineers and coordinate with day-shift teams for follow-up. Maintain accurate documentation of incidents, changes, and configurations in ticketing and knowledge systems. Follow security and compliance best practices when managing systems and network access. Support onboarding and offboarding tasks such as account provisioning and permissions updates. Collaborate with C&S Employment Solutions teams and clients to communicate status and resolution of issues. Required Skills Windows and Linux server administration Network monitoring and troubleshooting TCP/IP, DNS, DHCP, VPNFirewall and security best practices Incident and ticket management (ITIL) Backup and recovery tools System performance monitoring tools Scripting or automation (Power Shell, Bash) Cloud platforms (AWS, Azure, or similar) Documentation and knowledge base management

C&S Employment Solutions seeks an Overnight IT Systems & Network Support Engineer to monitor and support client infrastructure across servers, networks, and cloud systems. In this role, you will troubleshoot incidents, resolve tickets, and perform routine maintenance, backups, and patching during overnight shifts to ensure uptime and performance. You'll collaborate with day-shift teams, document issues, and follow ITIL-based processes. This position offers exposure to diverse environments, client interaction, and opportunities to grow skills in systems administration, networking, and security within a people-focused staffing firm. Responsibilities Monitor servers, networks, and critical systems during overnight shifts to ensure uptime and performance. Respond to alerts and tickets, diagnosing and resolving systems and network incidents within defined SLAs. Perform routine maintenance, patching, backups, and health checks on servers and network devices. Escalate complex issues to senior engineers and coordinate with day-shift teams for follow-up. Maintain accurate documentation of incidents, changes, and configurations in ticketing and knowledge systems. Follow security and compliance best practices when managing systems and network access. Support onboarding and offboarding tasks such as account provisioning and permissions updates. Collaborate with C&S Employment Solutions teams and clients to communicate status and resolution of issues. Required Skills Windows and Linux server administration Network monitoring and troubleshooting TCP/IP, DNS, DHCP, VPNFirewall and security best practices Incident and ticket management (ITIL) Backup and recovery tools System performance monitoring tools Scripting or automation (Power Shell, Bash) Cloud platforms (AWS, Azure, or similar) Documentation and knowledge base management

C&S Employment Solutions seeks an Overnight IT Systems & Network Support Engineer to monitor and support client infrastructure across servers, networks, and cloud systems. In this role, you will troubleshoot incidents, resolve tickets, and perform routine maintenance, backups, and patching during overnight shifts to ensure uptime and performance. You'll collaborate with day-shift teams, document issues, and follow ITIL-based processes. This position offers exposure to diverse environments, client interaction, and opportunities to grow skills in systems administration, networking, and security within a people-focused staffing firm. Responsibilities Monitor servers, networks, and critical systems during overnight shifts to ensure uptime and performance. Respond to alerts and tickets, diagnosing and resolving systems and network incidents within defined SLAs. Perform routine maintenance, patching, backups, and health checks on servers and network devices. Escalate complex issues to senior engineers and coordinate with day-shift teams for follow-up. Maintain accurate documentation of incidents, changes, and configurations in ticketing and knowledge systems. Follow security and compliance best practices when managing systems and network access. Support onboarding and offboarding tasks such as account provisioning and permissions updates. Collaborate with C&S Employment Solutions teams and clients to communicate status and resolution of issues. Required Skills Windows and Linux server administration Network monitoring and troubleshooting TCP/IP, DNS, DHCP, VPNFirewall and security best practices Incident and ticket management (ITIL) Backup and recovery tools System performance monitoring tools Scripting or automation (Power Shell, Bash) Cloud platforms (AWS, Azure, or similar) Documentation and knowledge base management

C&S Employment Solutions seeks an Overnight IT Systems & Network Support Engineer to monitor and support client infrastructure across servers, networks, and cloud systems. In this role, you will troubleshoot incidents, resolve tickets, and perform routine maintenance, backups, and patching during overnight shifts to ensure uptime and performance. You'll collaborate with day-shift teams, document issues, and follow ITIL-based processes. This position offers exposure to diverse environments, client interaction, and opportunities to grow skills in systems administration, networking, and security within a people-focused staffing firm. Responsibilities Monitor servers, networks, and critical systems during overnight shifts to ensure uptime and performance. Respond to alerts and tickets, diagnosing and resolving systems and network incidents within defined SLAs. Perform routine maintenance, patching, backups, and health checks on servers and network devices. Escalate complex issues to senior engineers and coordinate with day-shift teams for follow-up. Maintain accurate documentation of incidents, changes, and configurations in ticketing and knowledge systems. Follow security and compliance best practices when managing systems and network access. Support onboarding and offboarding tasks such as account provisioning and permissions updates. Collaborate with C&S Employment Solutions teams and clients to communicate status and resolution of issues. Required Skills Windows and Linux server administration Network monitoring and troubleshooting TCP/IP, DNS, DHCP, VPNFirewall and security best practices Incident and ticket management (ITIL) Backup and recovery tools System performance monitoring tools Scripting or automation (Power Shell, Bash) Cloud platforms (AWS, Azure, or similar) Documentation and knowledge base management

Kohler seeks a Senior Systems Architect to lead the design of scalable, secure enterprise systems supporting global manufacturing and hospitality operations. You will define target architectures, integrate legacy and cloud platforms, and guide modernization of ERP, IoT, and data solutions. Partnering with engineering, product, and operations teams, you'll translate business needs into technical roadmaps, set integration and security standards, and mentor engineers. This role thrives in Kohler's culture of craftsmanship, innovation, and sustainability, offering global impact and long-term career growth. Responsibilities Design and maintain enterprise systems and integration architectures for global manufacturing and hospitality operations Lead modernization of legacy, ERP, and Io T platforms to scalable cloud and microservices-based solutions Define architecture standards, patterns, and governance for security, data, and integrations Translate business requirements into technical roadmaps and solution designs Collaborate with engineering, product, and operations teams on end-to-end solution delivery Evaluate and select technologies, platforms, and tools aligned to enterprise strategy Create architecture documentation, diagrams, and reference implementations Ensure performance, reliability, and security across distributed systems Guide Dev Ops practices, CI/CD pipelines, and infrastructure-as-code patterns Mentor engineers and influence technical decision-making across teams Required Skills Enterprise architecture Cloud architecture (AWS/Azure) Systems integration (APIs, middleware) Microservices design ERP/manufacturing systems (e.g., SAP) Solution design & documentation Security and compliance architecture Dev Ops/CI-CD pipelines Kubernetes/containers Data integration and ETL

Weyerhaeuser seeks a Sr Enterprise Architect to define and lead the enterprise architecture strategy across its sustainable timberlands and manufacturing operations. In this role, you will design scalable, secure solutions that connect mills, forests, supply chain, and corporate systems, enabling data-driven decisions and operational excellence. You'll own reference architectures, guide modernization to cloud and API-first platforms, and ensure alignment with safety, sustainability, and business goals. Partnering with leaders across IT, operations, and manufacturing, you'll provide technical governance, mentor architects and engineers, and evaluate emerging technologies that advance Weyerhaeuser's innovative, environmentally responsible mission. Responsibilities Lead the enterprise architecture vision and roadmap supporting Weyerhaeuser's manufacturing and wood products businesses Design scalable, secure solutions that integrate mill, field, supply chain, and corporate systems Align technology strategy with business goals, sustainability objectives, and safety standards Define and maintain reference architectures, standards, and patterns for cloud, data, and application platforms Partner with product, operations, and manufacturing leaders to translate requirements into technical designs Provide technical governance for major programs, ensuring architectural compliance and quality Guide modernization of legacy systems toward cloud-native and API-driven architectures Collaborate with cybersecurity and infrastructure teams to ensure resilience and compliance Mentor engineers and solution architects, promoting best practices and architectural thinking Evaluate emerging technologies relevant to manufacturing, Io T, and data analytics Required Skills Enterprise architecture (business, application, data, and technology domains) Cloud platforms (AWS, Azure, or GCP) Solution and integration architecture (APIs, microservices, ESB) Data architecture and analytics platforms Manufacturing execution systems (MES) and plant/operations technology integration Security and compliance architecture Architecture frameworks (TOGAF, SAFe, Zachman) Legacy modernization and migration strategies Stakeholder management and influencing at senior levels Technical leadership and governance