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Job Description Job Description ABOUT HUT 8 Imagine the ultimate destination for those who want to work at the cutting edge of technology, energy, and infrastructure. Hut 8 is on a mission to build and operate some of the world's largest data centers for next-generation computing workloads, including AI, Colocation, Cloud, and Bitcoin Mining. We are proud to offer interesting and challenging opportunities for individuals who want to build teams, solve problems, and make an impact from day one. If you're an ambitious individual looking for a career that is as rewarding as it is challenging, you've come to the right place. ABOUT THE ROLE We are seeking a motivated Transmission & Interconnection, Principal to support Hut 8's interconnection and transmission planning efforts across the United States. As Hut 8 scales its energy infrastructure platform-powering next-generation data centers, AI workloads, and Bitcoin mining operations-securing reliable, cost-effective grid access is mission-critical. In this role, you will support the interconnection queue process for large load and co-located generation assets, working closely with utilities and grid operators to prepare study materials, maintain power system models, and translate technical findings for internal and external stakeholders. You will partner cross-functionally with the broader Transmission & Interconnection team to help identify, track, and mitigate interconnection timelines, cost exposures, and technical requirements. Key Responsibilities Utility Interface Prepare materials for utility and grid operator submittals Track study milestones and support related negotiation processes Maintain internal records to support study oversight Power System Modeling & Simulation Maintain model currency across regional grid operator systems Perform power flow studies to support load capacity screening, network upgrade cost estimation, and system reliability analysis Support system stability and protection-related studies as needed Prepare clear technical reports and analysis Translate technical findings for both engineering and business audiences Support coordination across internal teams Dynamic Model Quality Testing Coordinate with external consultants to build and validate power flow and dynamic models using standard industry software Process Improvement Support workflow automation and modern software tools to scale study throughput as project volume grows ABOUT YOU Required Qualifications BSEE from an ABET-accredited program with a power emphasis 3-5 years of experience in power systems, transmission planning, and interconnection gained as a consultant, ISO/utility engineer, or in an equivalent role Hands on experience with TARA for transmission reliability, power flow, and contingency analysis. Proficient with power system modeling and simulation software such as PSS/E, PSLF, PowerWorld, PSCAD, or equivalent. Strong analytical skills with ability to interpret complex interconnection study results and develop actionable recommendations Track record of successfully negotiating interconnection agreements and managing cost and schedule risk. Skilled in report preparation, data analytics, and cost modeling, with clear written and verbal communication Prior internship or co-op experience in power systems, transmission planning, or interconnection is a plus Preferred Qualifications Experience within an ISO/RTO, consulting firm, or utility, with exposure to organized markets such as PJM, ERCOT, MISO, SPP, or the Southeast (Georgia Power, Duke, TVA) Direct exposure to large-load or HPC/data center power requirements-including in an academic context-is a strong plus given the unit's focus on speed to power Familiarity with dynamic model validation and benchmarking via model quality testing Proficiency with workflow automation and application program interfaces to scale process development as study volume grows Professional Engineer (PE) license, or progress toward licensure ABOUT THE WORK ENVIRONMENT This role is in office at our corporate headquarters in the Brickell area of Miami, Florida. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. WHAT MAKES HUT 8 A GREAT PLACE TO WORK Hut 8 offers a benefits and wellness program that includes medical, dental, vision, life, and short-term and long-term disability insurance, as well as paid time off. We are proud to invest in building the best team in the industry. At all levels of the organization, we are driven by an entrepreneurial spirit, radical transparency, and relentless growth mentality. At Hut 8, you will have the opportunity to: Work with bright, driven peers from a range of educational and professional backgrounds including software development, energy, engineering, entrepreneurship, investment banking, private equity, and management consulting Design and pitch new products, services, and other initiatives to a leadership team consisting of serial entrepreneurs and seasoned executives and backed by a board of directors consisting of industry veterans of energy, finance, and government Debate ideas and alternatives in a truly meritocratic setting where the learning curve is steep and the lessons come from both senior and junior members of the team Build a lifelong network of friends and professional connections at the cutting-edge intersection of technology, energy, and infrastructure

Job description: We are looking for an experienced Firmware Engineer to contribute to the development of products on our Research and Development Division in Herndon VA. As part of our R&D division, you would join our firmware team to develop, integrate, and test our firmware products in our spaced-based, electro-optical systems. Essential Job Duties Lead and contribute to firmware architecture and implementation for space-based electro-optical payloads and laser systems Perform end-to-end firmware development lifecycle: from requirements analysis through design, coding, simulation, verification, and validation Collaborate closely with hardware, systems, software, and optical engineers in cross-functional teams to define interfaces, resolve design issues, and ensure seamless system integration Participate in task-based iterative development cycles, incorporating rapid feedback, frequent integration points, and incremental testing to meet mission reliability goals Conduct lab-based debugging, hardware-in-the-loop testing, and system-level validation using diagnostic tools and protocols Support peer code reviews, knowledge sharing, and continuous improvement of development processes and best practices Apply high-reliability and space-grade techniques (e.g., fault tolerance, radiation mitigation) in a collaborative, team-oriented environment Contribute to documentation, design reviews, and risk identification throughout the product lifecycle Job Requirements Experience and Expertise Required 7+ years relevant experience BS/MS in EE or equivalent Expertise with firmware engineering, VHDL (RTL), System Verilog (Testing) Expertise with Digital Signal Processing, precision timing, optical comms (modems), LIDAR Experience with Xilinx, Microchip, and Lattice FPGAs and their associated development tools Experience developing test benches and running simulations to exercise the design and to verify compliance Experience interfacing and working with hardware designers during development, integration, and test phases Experience using schematics and block diagrams as inputs for firmware design Experience in high-speed serial links: GTY/GTM, JESD204B/C, Ethernet, SpaceWire Experience in standard peripheral interfaces: SPI, I2C, UART, LVDS, etc. Experience in memory interfaces: DDR3/4, QDR, FRAM, etc. Experience with GitHub, CI/CD for FPGA flows, code reviews, automated linting, synthesis, regression testing, timing closure, bitstream generation, release tagging Bonus Areas Experience in Python for build/testing automation and data analysis Experience with Linux, scripting, Docker containers, and automation Experience developing Hi-Rel/Space programs and TMR coding Experience developing code (C, C++) for microcontrollers Experience with VS Code We are a leading developer of laser and electro-optic systems for the aerospace community, with key contributions to lasers for atmospheric sensing, laser communications, and lidar sensors for NASA, DoD, and commercial customers. Qualifications: Job Requirements Experience and Expertise Required 7+ years relevant experience BS/MS in EE or equivalent Expertise with firmware engineering, VHDL (RTL), System Verilog (Testing) Expertise with Digital Signal Processing, precision timing, optical comms (modems), LIDAR Experience with Xilinx, Microchip, and Lattice FPGAs and their associated development tools Experience developing test benches and running simulations to exercise the design and to verify compliance Experience interfacing and working with hardware designers during development, integration, and test phases Experience using schematics and block diagrams as inputs for firmware design Experience in high-speed serial links: GTY/GTM, JESD204B/C, Ethernet, SpaceWire Experience in standard peripheral interfaces: SPI, I2C, UART, LVDS, etc. Experience in memory interfaces: DDR3/4, QDR, FRAM, etc. Experience with GitHub, CI/CD for FPGA flows, code reviews, automated linting, synthesis, regression testing, timing closure, bitstream generation, release tagging Bonus Areas Experience in Python for build/testing automation and data analysis Experience with Linux, scripting, Docker containers, and automation Experience developing Hi-Rel/Space programs and TMR coding Experience developing code (C, C++) for microcontrollers Experience with VS Code We are a leading developer of laser and electro-optic systems for the aerospace community, with key contributions to lasers for atmospheric sensing, laser communications, and lidar sensors for NASA, DoD, and commercial customers. Why is This a Great Opportunity: We are looking for an experienced Firmware Engineer to contribute to the development of products on our Research and Development Division in Herndon VA. As part of our R&D division, you would join our firmware team to develop, integrate, and test our firmware products in our spaced-based, electro-optical systems. Salary Type : Annual Salary Salary Min : $ 140000 Salary Max : $ 210000 Currency Type : USD

SAAB is seeking a Senior Information Security Engineer to secure and optimize our Windows infrastructure supporting advanced defense and manufacturing systems. In this role, you will design and harden Windows servers, Active Directory, and related services, leading threat modeling, vulnerability assessments, and incident response across complex environments. You will define and enforce security baselines, automate controls with PowerShell, and collaborate with cross-functional engineering and IT teams. This hybrid position offers the opportunity to shape enterprise security in a mission-driven, innovative global organization. Responsibilities Design, implement, and maintain secure Windows infrastructure for defense-grade manufacturing systems Harden Windows servers, Active Directory, and related services to meet security and compliance standards Lead threat modeling, vulnerability assessments, and remediation for Windows-based environments Develop and enforce security configurations, policies, and procedures for Windows platforms Collaborate with engineering, IT, and operations teams on secure architecture and deployments Monitor security events, investigate incidents, and drive root-cause analysis Implement and manage endpoint protection, patch management, and encryption solutions Support audits and certification activities, documenting controls and risk mitigations Mentor junior engineers and contribute to security best practices and standards Required Skills Windows Server administration Active Directory design and security Group Policy management Power Shell scripting and automation Endpoint security tools (AV/EDR) Vulnerability assessment and remediation Security incident response Network security fundamentals Identity and access management Security configuration and hardening standards (CIS, NIST)

Join our dynamic AWS team and become a critical guardian of global cloud infrastructure! You'll play a pivotal role in maintaining the heartbeat of the world's most innovative technology platform, ensuring seamless data center operations that power millions of businesses and services worldwide. Data Center Technicians should be willing to work both independently and with a team. Work prioritization, organizational skills, effective communication, and the ability to react quickly are critical to success. In addition to hardware and network repair, candidates will install equipment, create documentation, innovate solutions, and fix problems within the data center space. This team works in an environment that operates 24/7. Traveling within and outside of the regional work area is required. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. NOTE: Amazon does not sponsor for immigration, including for H-1B, TN, and other non-immigrant visas, for this role. NOTE: Lump sum stipend will be provided to eligible candidates who relocate for this position. This role will be physically based at our new MDD Pecos, TX site. Key job responsibilities - Performing server rack installations, hardware break-fix on various components, troubleshooting network issues, and responding to operational incidents that impact service availability, escalating to senior technicians and management as needed/required - Serving as a primary contact point for both internal and external stakeholders, including engineers, software developers, vendors, and contractors - Performing on-call duties and participating in scheduled maintenance and change management activities - Contributing to documentation and process improvement initiatives based on your analysis of operational issues - Helping to train and onboard new team members Physical requirements: - Regularly lift and/or move up to 40 pounds; and participate in group lifts for 41+ pounds - Working in cramped and/or elevated locations - Bending, lifting, stretching, and reaching - Standing and walking for up to 8+ hours a day - Ascending and descending ladders, stairs, and gangways safely and without limitation - Work in a noisy environment - Work shifts longer than 8 hours to support 24/7 operations (covering both night and day shifts). This role supports data centers in various operational stages. The position may be assigned to a facility still under development, which could require travel to established locations for training until your designated site becomes fully operational. Essential Requirements: - Ability to travel to or commute between data center locations as needed - Willingness to temporarily work at alternative sites during training periods or until assigned facility is operational - Travel frequency will vary based on business needs and operational status of assigned facility Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs. A day in the life As a Data Center Technician professional, you have industry-leading technical abilities and demonstrate a breadth of knowledge while you: -Take ownership of technical issues brought by their customer base, engaging other teams when needed to drive resolution -Solve problems at their root and step back to understand the broader context -Maintain service level agreements through the implementation of proactive issue detection and reporting You will be required to work shift work that will include days/nights/weekends/holidays. Traveling within and outside of the regional work area is required. You will be responsible for having a reliable personal vehicle and valid driver's license to travel within the regional work area, as company transportation will not be provided. BASIC QUALIFICATIONS - 1+ years of computer/server hardware troubleshooting or related IT experience - High school or equivalent diploma - Work a flexible schedule including weekends, nights, and holidays PREFERRED QUALIFICATIONS - Knowledge of network design, protocols and Layer 1/2 troubleshooting - Associate's degree in a relevant field (e.g., Computer Science, Networking Engineering), or experience in a relevant field (e.g., Computer Science, Networking Engineering) - Experience managing work and priorities through a ticketing system - Experience in a data center or other critical environment 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 starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at . USA, TX, Wink - 27.98 - 48.99 USD hourly

AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the trn and inf servers that use them. This position is for a Software Engineer that will lead the development of various services that will aid in optimization, analysis and release of machine learning workloads and artifacts. This candidate must have had experience leading distributed systems and machine learning related projects, preferably starting from architecture through several generations of delivery to customers. Deep knowledge of optimization, resource management, scheduling are needed. The ideal candidate will have experience working on services like EC2, EKS, Lambda in AWS or similar services on other cloud providers. Key job responsibilities This engineer will lead the design and implementation of new tools, pipelines and automation, will work with developers, system architects, hardware engineers and users both within and external to Amazon to ensure compatibility of this new toolset with existing and next-generation AI accelerators. Design, implement, and maintain CI/CD pipelines to automate the software release process. Collaborate with development teams to integrate new software releases. Infrastructure Management: Manage and automate infrastructure provisioning. Ensure high availability and scalability of systems through effective infrastructure management. Monitoring and Optimization: Implement monitoring solutions to track system performance. Identify bottlenecks and optimize system performance. Security and Compliance: Implement security best practices in the DevOps pipeline. Conduct regular vulnerability assessments and risk management. A day in the life As you design and code solutions to help our team drive efficiencies in software architecture, you'll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You'll also: Build high-impact solutions to deliver to our large customer base. Participate in design discussions, code review, and communicate with internal and external stakeholders. Work cross-functionally to help drive business decisions with your technical input. Work in a startup-like development environment, where you're always working on the most important stuff. About the team The Neuron Infra Services team fosters a builder's culture where experimentation is encouraged, and impact is measurable. We emphasize collaboration, technical ownership, and continuous learning. 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. 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 - Knowledge of system performance, memory management, and parallel computing principles - Experience in debugging, profiling, and implementing software engineering best practices in large-scale systems, or experience debugging, profiling, and implementing best software engineering practices in large-scale systems - Experience with AWS or cloud technologies 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 - Knowledge of fundamentals of networking, security, databases (relational or NoSQL), operating systems (Unix, Linux, and/or Windows) - Fundamentals of Machine learning and LLMs, their architecture along with work experience on certain LLM models. 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

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 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 and JAX enabling unparalleled ML inference and training performance. The Inference Enablement and Acceleration team is at the forefront of running a wide range of models and supporting novel architecture alongside maximizing their performance for AWS's custom ML accelerators. Working across the stack from PyTorch till the hardware-software boundary, our engineers build systematic infrastructure, innovate new methods and create high-performance kernels for ML functions, ensuring every compute unit is fine tuned for 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. As part of the broader Neuron organization, our team works across multiple technology layers - from frameworks and kernels and collaborate with compiler 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 You will architect and implement business critical features, and mentor a brilliant team of experienced engineers. 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. It is a very unique learning culture. The team works closely with customers on their model enablement, providing direct support and optimization expertise to ensure their machine learning workloads achieve optimal performance on AWS ML accelerators. The team collaborates with open source ecosystems to provide seamless integration and bring peak performance at scale for customers and developers. This role is responsible for development, enablement and performance tuning of a wide variety of LLM model families, including massive scale large language models like the Llama family, DeepSeek and beyond. The Inference Enablement and Acceleration team works side by side with compiler engineers and runtime engineers to create, build and tune distributed inference solutions with Trainium and Inferentia. Experience optimizing inference performance for both latency and throughput on such large models across the stack from system level optimizations through to Pytorch or JAX is a must have. You can learn more about Neuron Key job responsibilities This role will help lead the efforts in building distributed inference support for Pytorch in the Neuron SDK. This role will tune these models to ensure highest performance and maximize the efficiency of them running on the customer AWS Trainium and Inferentia silicon and servers. Strong software development using Python, System level programming and ML knowledge are both critical to this role. Our engineers collaborate across compiler, runtime, framework, and hardware teams to optimize machine learning workloads for our global customer base. Working at the intersection of software, hardware, and machine learning systems, you'll bring expertise in low-level optimization, system architecture, and ML model acceleration. In this role, you will: Design, develop, and optimize machine learning models and frameworks for deployment on custom ML hardware accelerators. Participate in all stages of the ML system development lifecycle including distributed computing based architecture design, implementation, performance profiling, hardware-specific optimizations, testing and production deployment. Build infrastructure to systematically analyze and onboard multiple models with diverse architecture. Design and implement high-performance kernels and features for ML operations, leveraging the Neuron architecture and programming models Analyze and optimize system-level performance across multiple generations of Neuron hardware Conduct detailed performance analysis using profiling tools to identify and resolve bottlenecks Implement optimizations such as fusion, sharding, tiling, and scheduling Conduct comprehensive testing, including unit and end-to-end model testing with continuous deployment and releases through pipelines. Work directly with customers to enable and optimize their ML models on AWS accelerators Collaborate across teams to develop innovative optimization techniques A day in the life You will collaborate with a cross-functional team of applied scientists, system engineers, and product managers to deliver state-of-the-art inference capabilities for Generative AI applications. Your work will involve debugging performance issues, optimizing memory usage, and shaping the future of Neuron's inference stack across Amazon and the Open Source Community. As you design and code solutions to help our team drive efficiencies in software architecture, you'll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You will also build high-impact solutions to deliver to our large customer base and participate in design discussions, code review, and communicate with internal and external stakeholders. You will work cross-functionally to help drive business decisions with your technical input. You will work in a startup-like development environment, where you're always working on the most important initiative. About the team The Inference Enablement and Acceleration team fosters a builder's culture where experimentation is encouraged, and impact is measurable. We emphasize collaboration, technical ownership, and continuous learning. 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. Join us to solve some of the most interesting and impactful infrastructure challenges in AI/ML today. BASIC QUALIFICATIONS - Bachelor's degree in computer science or equivalent - 3+ years of non-internship professional software development experience - 3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Fundamentals of Machine learning and LLMs, their architecture, training and inference lifecycles along with work experience on some optimizations for improving the model execution. - Software development experience in C++, Python (experience in at least one language is required). - Strong understanding of system performance, memory management, and parallel computing principles. - Proficiency in debugging, profiling, and implementing best software engineering practices in large-scale systems. PREFERRED QUALIFICATIONS - Familiarity with PyTorch, JIT compilation, and AOT tracing. - Familiarity with CUDA kernels or equivalent ML or low-level kernels - Candidates with performant kernel development such as CUTLASS, FlashInfer etc., would be well suited. - Familiar with syntax and tile-level semantics similar to Triton. - Experience with online/offline inference serving with vLLM, SGLang, TensorRT or similar platforms in production environments. - Deep understanding of computer architecture, operation systems level software and working knowledge of parallel computing. 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 . click apply for full job details

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work-work that changes the world-is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Drive the technical resolution and stability of Everpure's highest-stakes cloud storage deployments for top-tier hyperscale partners. As a Senior Software Engineer on the Hyperscale Product Escalations team (known internally as a Forensics Engineer), you will serve as the technical bridge between field telemetry and core engineering, diagnosing high-complexity distributed systems failures and creating automation that anticipates issues before they impact customer workloads. You will directly influence customer trust, enable multi-million dollar account success, and help architect the future of hyperscale storage solutions built for AI-driven infrastructure. WHAT YOU'LL DO Lead Root-Cause Investigations: Analyze complex system behavior, memory dumps, field telemetry, and low-level code across platform, firmware, and software layers to isolate and resolve critical failures in large-scale distributed systems. Build System Health Automation: Design and deploy automated diagnostics, predictive health-monitoring services, and AI-assisted workflow tools that reduce manual triage time and prevent recurring failure patterns across growing global fleets. Direct Hyperscaler Engineering Collaboration: Partner directly with technical teams at hyperscale customer organizations to solve deep integration challenges, ensuring platform reliability and unlocking major expansion opportunities. Engineer Fleet-Wide Reliability Improvements: File, prioritize, and drive long-term engineering fixes from escalation findings back into core product roadmaps to continuously elevate system stability. WHAT YOU BRING Systems & Storage Expertise: Deep hands-on experience in Linux systems engineering, platforms, or low-level firmware, along with a strong grasp of storage technologies (such as SSDs, NVMe, NAND, or distributed storage architectures). Advanced Debugging & Software Engineering: Proven mastery of troubleshooting complex distributed systems using languages like Python, Go, or C++, paired with the ability to build automated tools for log analysis, telemetry, and system diagnostics. Technical Communication & Problem-Solving: Ability to deconstruct intricate distributed systems failure modes into clear technical action plans, facilitating seamless collaboration with cross-functional SMEs and external engineering leadership. Location & Work Environment: We are primarily an in-office environment and therefore, you will be expected to work from the Santa Clara office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave. Salary ranges are determined based on role, level and location. For positions open to candidates in multiple geographical locations, the base salary range is reflective of the labor market across the applicable locations. This role may be eligible for incentive pay and/or equity. There is no application deadline and we accept applications on an ongoing basis until the job is filled. The annual base salary range is: $149,000 - $224,000 USD WHAT YOU CAN EXPECT FROM US: Innovation : We celebrate those who think critically, like a challenge, and aspire to be trailblazers. Growth : We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology , Fortune's Best Workplaces in the Bay Area , and certified as a Great Place to Work ! Team : We build each other up and set aside ego for the greater good. And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events. Check out for more information. ACCOMMODATIONS AND ACCESSIBILITY: Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at if you're invited to an interview. OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM: We're forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn't just accepted but embraced. That's why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership. Everpure is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire. Join us and bring your best. Bring your bold. Pure and simple.

Annapurna Labs was a startup company acquired by AWS in 2015, and is now fully integrated. If AWS is an infrastructure company, then think Annapurna Labs as the infrastructure provider of AWS. Our org covers multiple disciplines including silicon engineering, hardware design and verification, software, and operations. AWS Nitro, ENA, EFA, Graviton and F1 EC2 Instances, AWS Neuron, Inferentia and Trainium ML Accelerators, and in storage with scalable NVMe, are some of the products we have delivered, over the last few years. AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the Trn1 and Inf1 servers that use them. This position is for a Software Engineer that will lead the development of machine learning tools to run, optimize, and analyze machine learning workloads. This candidate must have had experience leading machine learning tool projects, preferably starting from architecture through several generations of delivery to customers. Deep knowledge of profiling and optimization, resource management, scheduling, code generation are needed. The ideal candidate will have worked on new instruction set architectures, which may include CPU, NPU, GPU and other forms of compute. Key job responsibilities This engineer will lead the design and implementation of ML infrastructure platform, building systems for capacity management, workload scheduling, and fleet orchestration across ML accelerators. They will work with ML scientists, training infrastructure engineers, hardware teams, and internal customers to ensure the ML Infra service delivers seamless ML Accelerator access with low wait times, high utilization, and zero-config deployment from various environments. A day in the life As you design and code solutions to help our team drive efficiencies in software architecture, you'll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You'll also: Build high-impact solutions to deliver to our large customer base. Participate in design discussions, code review, and communicate with internal and external stakeholders. Work cross-functionally to help drive business decisions with your technical input. Work in a startup-like development environment, where you're always working on the most important stuff. About the team High-impact, high-visibility: You'll directly accelerate every Neuron team's ability to ship - your work multiplies the output of 100+ engineers Greenfield opportunities: We're actively building new capabilities with significant design ownership for SDEs Small, senior team: where every person owns major components and drives architectural decisions AI infrastructure: Work at the intersection of Kubernetes, custom silicon, and large-scale ML workloads Diverse Experiences We value diverse experiences and non-traditional career paths. If your career is just starting or includes alternative experiences, we encourage you to apply. Inclusive Team Culture Our employee-led affinity groups foster inclusion. Events like CORE and AmazeCon inspire us to embrace our uniqueness. Work/Life Balance We strive for flexibility as part of our working culture, supporting you both at work and at home. Mentorship & Career Growth We offer knowledge-sharing, mentorship, and one-on-one code reviews to help you grow as a professional. Hybrid Work This role is onsite, with flexibility to work remotely when you're unable to make it into the office. 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 - Experience taking a leading role in building complex software or computing infrastructure that has been successfully delivered to customers - Experience with AWS Services including EC2, Lambda, S3, DynamoDB, SQS - Experience in Kubernetes, Docker or containers ecosystem, or experience managing full application stacks from the OS up through custom applications and experience in any Bigdata architecture - Experience with version control systems and CI/CD pipeline implementation - Strong proficiency in Go/Java, Python, and Javascript/Typescript - Application and kernel performance profiling and optimization - Proficiency in integrated software/hardware performance analysis and optimization - Experience designing and operating production services 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, Seattle - 143 400.00 USD annually

As a Neuron Collectives Software Developer, you will: Enhance collective algorithms and topologies for optimal training performance Use tools like Neuron Explorer to identify bottlenecks in compute and bus bandwidth utilization Monitor and analyze processor, DMA, firmware, and workload metrics Optimize collective operations to scale AI compute across the data center through low level device driver development Work closely with the hardware team to co-optimize software and Trainium silicon Develop and optimize C/C++ implementations of collective communication patterns Investigate and implement improvements for specific training topologies used by modern LLMs Build and maintain analysis frameworks and automation solutions The role offers opportunities to work on cutting-edge AI training hardware while contributing to one of Amazon's most critical initiatives. A day in the life Annapurna Labs, a crucial part of AWS, is responsible for developing hardware and software components for EC2 infrastructure. Our team focuses on building networking solutions that for Machine Learning (ML) and High-Performance Computing (HPC) workloads on AWS. We have mixed discipline orgs, you'd be working side by side with infrastructure experts, hardware engineers, RTL engineers, scientists & architects. Our workforce spans the globe and is truly international, you'll find yourself working side by side with individuals from numerous countries. We take mentorship seriously, you can both expect senior mentorship and will be expected to mentor new and junior engineers. The pace is fast as we work on the latest advancements of AI/ML, but we take the time to bond as a team and enjoy the successes. We offer flexibility in working hours, and respect WLB as a core org tenet. The team enjoys working with numerous principal-level engineers and closely with directors, career growth opportunities are certainly available. This is a role where you will always be encouraged to keep learning, the AI/ML field is fast moving and constantly evolving. About the team Annapurna Labs, part of AWS, created Trainium as a purpose-built AI training chip to revolutionize machine learning at Amazon scale. The Neuron Collectives team owns the software stack that enables collective operations - the communication primitives that allow AI training to scale across thousands of chips in the data center. Our work is essential to training the frontier models that power AI today. We work closely with hardware teams to extract maximum performance from Trainium, ensuring that compute and interconnect bandwidth are fully utilized. Our team sits at the intersection of hardware, firmware, and distributed systems. 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

In this role, you will own one or more production services and get in on the ground floor of new projects bringing Generative AI to developers worldwide. You will be responsible for revenue, adoption, and the end-to-end product lifecycle of your services. Using your passion for technology and solving customer problems, you will define product strategy, drive execution, and ship offerings that customers love. We are particularly interested in candidates with depth in one or more of the following areas: AI security and safety, responsible AI, or open-source foundation models. As a Senior Technical Product Manager (External Services), you will be the subject matter expert for your area of focus within AWS Compute GenAI services. You will work closely with applied scientists, engineering teams, and go-to-market partners to translate complex technical capabilities into products that are simple for customers to adopt. You will define the roadmap, write the narratives, make the tradeoff calls, and own the results. You will also be part of the broader product leadership community at AWS, contributing to business planning, long-term technical strategy, resource prioritization, and hiring. This community works directly with senior management to set direction and ensure we deliver at the pace our customers expect. A successful candidate will bring: - Proven experience launching technical products and building business around them - Strong business acumen with the ability to own a P&L and drive revenue outcomes - Deep curiosity about generative AI, foundation models, and the developer ecosystem - Comfort operating in ambiguity within a fast-moving organization - The ability to earn trust across engineering, science, and business teams - Desire to have industry-wide impact on how AI is built, deployed, and governed Key job responsibilities Lead Product Definition - Own and drive the customer working backwards strategy, tenets, long-term goals and working backwards documents (press release, FAQ) including customer and market feedback, competitive analysis and business metrics to inform direction. Define Product Vision - Including all aspects to future roadmap, investment, innovation and experimentation. Execution of Product Planning and Development - Including customer goals and business requirements for product release, ensuring implementation is aligned with product goals and requirements, and ownership of product positioning. Lead Product Launch - Own the GTM plan to deliver results that ensure the customer and business goals are met in operational launch plans. Lead Operations - Including monitoring and response to customer feedback, continuous improvement and business growth Lead interaction with Technical Team - Including helping the technical team make tradeoffs based on customer requirements, QA/testing of the product. Business reporting - Track revenue and adoption on a daily basis. Own writing business reports on a weekly and monthly basis and review with leadership. BASIC QUALIFICATIONS - 5+ years of technical product management with internet business experience - 5+ years of working as a Technical Product Manager experience - 3+ years of technical (software development, network development, IT, other related) experience - 7+ years of full product life cycle experience - 5+ years of P&L management and pricing experience - 5+ years of creating written docs for development of new products experience - 5+ years of enterprise security product experience - 5+ years of product management in the cloud computing technology space experience - Bachelor's degree in computer science, engineering, math, finance, or economics - Experience in taking a product from conception & definition phase through engineering design and taking it to market - Experience delivering large-scale SaaS, PaaS or LaaS products where you are responsible for the full product lifecycle, from concept through GTM (go to market) PREFERRED QUALIFICATIONS - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience working within teams delivering software products and features using agile methodologies 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, Seattle - 152 900.00 USD annually

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work-work that changes the world-is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As an Senior Hardware Systems Engineer within EverPure's EXA Hardware Engineering organization, you will serve as a primary technical authority driving the architectural vision, end-to-end design, and system-level validation of our next-generation enterprise and cloud-scale storage platforms. In this principal-level role, you will define the technology roadmap that bridges deep silicon/board-level hardware innovation with complex, multi-node cloud execution. You will establish design patterns, set high-speed and power/thermal benchmarks, and lead technical strategy across internal platform software teams, cross-functional executives, and global OEM/ODM/JDM partners. By defining next-generation server architectures, rack-scale power/thermal strategies, and zero-downtime resilience models, you will ensure EverPure maintains its industry-leading edge in storage performance and platform reliability. WHAT YOU'LL DO Architectural Leadership & Platform Strategy: Define and own the end-to-end multi-generational hardware roadmap for enterprise storage platforms. Drive architectural trade-off decisions across compute (x86/ARM), memory subsystems, DPUs, high-speed fabrics (PCIe Gen 5/6, CXL), and media technologies to maximize storage density, performance per watt, and TCO. JDM/ODM Governance & System Design: Lead system-level HW design reviews (schematics, layout, power tree design, thermal topology) across global OEM/ODM/JDM partners. Establish technical standards, engineering requirements documents (ERDs), and design guidelines to ensure flawless vendor execution. Validation Strategy & Framework Architecture: Architect overall hardware quality frameworks, comprehensive validation strategies, and advanced diagnostic models spanning parametric, functional, electrical, and full-stack software/firmware integration. Establish automated telemetry, stress-testing paradigms (e.g., FIO, SPEC, custom IO engines), and gating criteria for tier-0 production releases. Escalated Debug & Failure Analysis Authority: Serve as the final technical escalation point for complex, systemic hardware, signal integrity, and storage-node failures. Lead dynamic task forces across hardware, firmware, software, and silicon vendors to drive root-cause analysis (RCA) and long-term corrective action (CA) for high-impact edge cases. Test Automation & Tooling Infrastructure: Drive the architecture and adoption of automated test frameworks (Python/Bash) for hardware validation, L10 device-level, and L11 rack-level platform stability, continuously raising the bar for test coverage and cycle time reduction. Cross-Functional & Ecosystem Influence: Partner closely with executive engineering leadership, software architects, platform design, and network infrastructure teams to ensure tight HW/FW/SW co-design. Champion systemic improvements in reliability, availability, and serviceability (RAS). WHAT YOU BRING Mastery of Enterprise Server & Storage Systems: Deep architectural expertise in high-density x86 enterprise server systems, rack-scale power delivery topologies (power-tree modeling, transient analysis), dynamic thermal management, high-performance storage protocols (NVMe-oF, CXL), and multi-node rack architectures. Deep Hands-On Bring-Up & Diagnostics: Extensive experience executing complex system bring-ups, high-speed signal integrity validation (PCIe Gen 5/6, high-frequency buses), and deep-dive hardware failure analysis using advanced lab instruments and telemetry architectures (BMC, Redfish, IPMI, PCIe analyzers, SMART logs). Validation Infrastructure & Automation Expertise: Proven success building scalable, programmatic validation pipelines (Python/Shell) and rigorous system stress testing methodologies to qualify enterprise-grade L10/L11 infrastructure. Rack-Scale & Network Integration Mastery: Demonstrated expertise in setting up, validating, and debugging rack-level interconnectivity spanning servers, high-speed switches, active optics, and fabric topologies. Familiarity with leaf-spine networks, RoCE, RDMA, InfiniBand, and BGP is highly desirable. Technical Leadership & Mentorship: Track record of acting as a technical lead and force multiplier across multi-disciplinary engineering organizations. Ability to translate broad business objectives into concrete technical roadmaps, mentor senior engineers, and influence vendor CTO/engineering organizations. LOCATION & WORK ENVIRONMENT This role requires an in-office presence at our Santa Clara, CA headquarters, fostering real-time collaboration in our hardware laboratories, in compliance with EverPure's hybrid/in-office policies. Salary ranges are determined based on role, level and location. For positions open to candidates in multiple geographical locations, the base salary range is reflective of the labor market across the applicable locations. This role may be eligible for incentive pay and/or equity. There is no application deadline and we accept applications on an ongoing basis until the job is filled. The annual base salary range is: $217,000 - $326,000 USD WHAT YOU CAN EXPECT FROM US: Innovation: We celebrate those who think critically, like a challenge, and aspire to be trailblazers. Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology , Fortune's Best Workplaces in the Bay Area , and certified as a Great Place to Work ! Team: We build each other up and set aside ego for the greater good. And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events. Check out for more information. ACCOMMODATIONS AND ACCESSIBILITY: Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at if you're invited to an interview. OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM: We're forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn't just accepted but embraced. That's why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership. Everpure is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire. Join us and bring your best. Bring your bold. Pure and simple.

Do you want to shape the future of virtualized (SDN) networking in one of the world's biggest public clouds? The Amazon Elastic Compute Cloud (EC2) Nitro Dataplane team owns the packet pipeline that runs right beneath all our customer's EC2 VPC instances, adding features like firewalls (security groups), routing, billing and monitoring as we touch every single packet on every single host across our worldwide fleet in more than 30 regions. Our vision is to combine the performance of bare metal networking while maintaining all the benefits of the cloud, including delivering features not possible on bare metal leading to true Software Defined Networking (SDN). We continue to grow, and are looking for kernel/embedded C programmers who can deliver ultra-high performance for our EC2 customers - our goal is to be processing many millions of packets per second on embedded CPU cores. This requires both being able to implement highly optimized data structures, but also low level tuning to our hardware. If you have good experience in C/C++ or Rust, and a passion for systems software engineering such as kernel or embedded software development, then this is a unique opportunity to join us in building the platform which is the basis for all new EC2 VPC features in the years to come. You can have an immediate impact for all of our customers including internal customers such as AWS Lambda, and external customers that run on Amazon EC2 as we deploy new features and updates regularly and often. With the extensive network and access to Principal, Sr. Principal and Distinguished Engineers across EC2, AWS and Amazon, there are many stretch opportunities to grow your skills and knowledge. Key job responsibilities Your responsibilities will include: Being an engineer on a small team, mentoring junior engineers, ensuring the right development practices are followed. Be very hands-on; work with the engineering team to manage the day-to-day development activities by leading architecture decisions, participating in designs, design review, code review, and implementation. Maintain current technical knowledge to support rapidly changing technology, always on a look out for new technologies and work with management and development team in bringing new technologies. Communicating with users, other technical teams, and senior management to collect requirements, describe software product features, technical designs, and product strategy 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 - Proficiency in design and analysis of algorithms and data structures - In-depth knowledge of TCP/IP - Kernel or embedded development, particularly Linux kernel - Scripting (Ruby/Python/Rust) - Strong knowledge of Computer Science fundamentals in object-oriented design, data structures, algorithm design, problem solving, and complexity analysis - Knowledge of, at least, one modern programming language such as C, C++, Rust, Python or Perl - Ability to take a project from scoping requirements through actual launch of the project - Meets/exceeds Amazon's leadership principles requirements for this role - Meets/exceeds Amazon's functional/technical depth and complexity for this role 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, Seattle - 143 400.00 USD annually

Description: Position Summary The Systems Engineer II (Senior Level) will join the systems engineering team to coordinate novel, reliable, and high-quality designs for Trenton System's next-generation products, including high end server chassis design, edge-compute form-factors in rugged environments, and cutting-edge designs for some of the industry's most demanding requirements. Typical duties include reviewing customer requirements, suggesting solutions, coordinating product integration, delivery and author design documentation. This role will work at the direction and supervision of the Mechanical Engineering Manager. Essential Duties and Responsibilities Plan, conceptualize, and create design architecture against requirements Manage and maintain customer requirements, system requirements, and traceability Evaluate alternatives and support make/buy decisions Collaborate with multi-disciplinary team of electrical, mechanical, software, and test engineers and participate with teams in design reviews. Create design output documentation (i.e. SDRLS, White Papers, BOMS, etc.) as necessary and review for completeness Identify and manage risk in products, processes, and environment. Support Trenton's system level DFM, addressing compatibility & interoperability with technology, industry, and regulatory standards. Ensure full traceability to verification and validations plans and reports Assist Project and Engineering Managers with requirement clarifications, managing scope creep, and developing contingency plans PM21 Requirements: Required Bachelors degree in Computer Science, Mechanical, or Electrical Engineering, or a related engineering field (e.g. Aerospace, Manufacturing, MET) Minimum of 3-5 years experience in engineering design capacity OR 5+ years of technical experience Knowledge of computer hardware & embedded systems architecture Familiarity with MRP or similar (Eng Change Orders/ Production processes) Familiarity with engineering analysis Desired Masters degree in related Engineering field 3-5+ Years of Embedded Systems Engineering VITA / VPX Experience Selects/works with the processor, MCU, GPU Hardware interfaces such as SPI, I C, UART, CAN, Ethernet, etc. Fans, sensors, power sequencing, LEDs, monitoring, etc. Hardware/software interaction. PI98fa3bed73e9-9565

Description: At MetaMetrics, we believe every learner deserves the opportunity to succeed. Our mission is to empower educators, students, and families with trusted assessment solutions that provide meaningful insights and support learning. We're looking for a passionate and experienced Senior Psychometrician to help advance that mission. As a Senior Psychometrician, you will play a pivotal role in ensuring the validity, reliability, and fairness of our assessment products. Working alongside talented colleagues across research, product, engineering, and customer success, you'll apply rigorous psychometric principles to develop innovative assessment solutions that improve educational outcomes for millions of learners. This role offers the opportunity to influence the future of educational measurement while collaborating with a mission-driven team dedicated to making a lasting impact. The key responsibilities and qualifications for this position are outlined below. Please submit a cover letter that tells us why this opportunity interests you, highlights the experience and accomplishments that best prepare you for the role, explains why you believe you're a great fit for our mission and culture, and shares why you're excited to join our team. Essential Duties & Responsibilities Develops plans and executes psychometric projects and research according to priorities and resource availability. Directs the creation and maintenance of project schedules, communication with clients, evaluation of external data, and review of process and results produced by Research Analysts. Conducts independent linking/equating and research studies, supports the completion of studies by others, and develops white papers and research summaries. Implements and improves psychometric research methods and processes at MetaMetrics according to best practices, industry standards, and academic literature. Maintains awareness of psychometric literature and methods regarding test and delivery methods (e.g., fixed-form, computer adaptive, and linear-on-the-fly), statistical methods (e.g., simulation studies), and computational psychometrics (e.g., machine learning, Bayesian inference). Provides ad hoc or planned expert consultation to clients and their stakeholders (e.g., technical advisory committees) regarding methods, results, and interpretation of MetaMetrics products and services. Perform other duties as assigned. Supervisory Responsibilities None. Provides support only in accordance with the organization's policies and applicable laws. Requirements: Education and/or Experience: A doctoral degree (Ph.D.) or equivalent in educational statistics, measurement, psychometrics, or related field is required, along with 5+ years of experience as a practicing psychometrician. Extensive experience with educational assessment and standard psychometric procedures (e.g., item analysis and calibration, score equating, scale linking). Familiarity with education technology infrastructure and development, including relational databases, software development languages (e.g., C++), and technologies (REST APIs), and program management (e.g., Agile). Computer Skills: Extensive experience with standard office and productivity software (e.g., Google Suite, Microsoft Office). Proficiency with general statistical software (e.g., R; Python) and specialized psychometric software (e.g., WINSTEPS, FACETS). Other Qualities: Language Skills : Ability to read, analyze, and interpret common scientific and technical journals and reports. Ability to respond to common inquiries from researchers, customers, or members of the general public. Ability to write presentations and articles for publication that conform to prescribed style and format. Ability to effectively present information to colleagues, management, and/or public groups. Psychometric Skills : Ability to apply advanced mathematical concepts such as exponents, logarithms, quadratic equations, and permutations. Ability to design and implement analyses related to test reliability and validity, analysis of variance, correlation techniques, sampling theory, and latent variable modeling. Ability to apply and interpret statistical procedures, including but not limited to Rasch calibration, linking, and equating. Presentation Skills: Ability to clearly and succinctly present analyses results to internal stakeholders (e.g., Sales, Test Development), external partners, and respond to psychometric and measurement questions related to MetaMetrics' core business. Reasoning Ability : Ability to apply principles of logical or scientific thinking to a wide range of intellectual and practical problems. Ability to deal with a variety of abstract and concrete variables. Publishing - A track record of peer-reviewed research publications and conference papers is preferred. PM18 Compensation details: 00 Yearly Salary PI9367e9dafb06-6481

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work-work that changes the world-is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. The Role Pipeline Engineering builds the systems that help our engineers develop, test, and ship Pure Storage products with speed and confidence. In this role, you will design, build, enhance, and scale CI/CD and build-and-test pipelines used across engineering. You will work on software and services that make complex workflows simpler, more reliable, and easier to operate. You will partner closely with product engineers, Production Engineering teams, and release stakeholders to understand real developer needs and deliver durable solutions. This is a software development role with meaningful impact on engineering productivity, platform reliability, and the future of our pipeline architecture. What you will do Design and implement scalable CI/CD, build, and test pipeline capabilities that provide fast, predictable feedback to engineering teams. Develop production-quality services, APIs, workflows, and developer tools that simplify pipeline configuration, execution, debugging, and reporting. Evolve the pipeline architecture toward modular, fault-tolerant, durable, and well-defined components with clear interfaces and manageable blast radius. Improve pipeline performance, capacity, and resource utilization as workloads grow across FlashArray, FlashBlade, and other engineering environments. Build meaningful observability, metrics, and diagnostics so engineers can understand pipeline health, identify failures quickly, and make decisions from data. Partner with product engineering, release engineering, and platform services teams to deliver capabilities that solve real workflow problems and support critical releases. Own outcomes end to end, including testing, documentation, operational readiness, incident follow-through, and long-term improvements to the systems you build. What you bring Experience designing, building, testing, and maintaining production-quality software, services, or developer platforms. Hands-on understanding of CI/CD, build systems, test orchestration, release workflows, or related engineering infrastructure. Proficiency in one or more programming languages such as Python, Go, Java, or C++, along with strong scripting and automation skills. Solid software engineering fundamentals, including API design, distributed systems, concurrency, testing, debugging, and performance analysis. Experience working with Linux/Unix systems and diagnosing problems across application, operating-system, network, storage, or infrastructure layers. A data- and quality-oriented mindset, with experience using logs, metrics, dashboards, queries, or tracing to improve reliability and developer experience. Strong ownership, communication, and collaboration skills; you can work through ambiguity, influence across teams, learn quickly, and help others succeed. Salary ranges are determined based on role, level and location. For positions open to candidates in multiple geographical locations, the base salary range is reflective of the labor market across the applicable locations. This role may be eligible for incentive pay and/or equity. There is no application deadline and we accept applications on an ongoing basis until the job is filled. The annual base salary range is: $180,000 - $270,000 USD WHAT YOU CAN EXPECT FROM US: Innovation : We celebrate those who think critically, like a challenge, and aspire to be trailblazers. Growth : We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology , Fortune's Best Workplaces in the Bay Area , and certified as a Great Place to Work ! Team : We build each other up and set aside ego for the greater good. And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events. Check out for more information. ACCOMMODATIONS AND ACCESSIBILITY: Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at if you're invited to an interview. OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM: We're forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn't just accepted but embraced. That's why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership. Everpure is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire. Join us and bring your best. Bring your bold. Pure and simple.

Join our dynamic AWS team and become a critical guardian of global cloud infrastructure! You'll play a pivotal role in maintaining the heartbeat of the world's most innovative technology platform, ensuring seamless data center operations that power millions of businesses and services worldwide. Data Center Technicians should be willing to work both independently and with a team. Work prioritization, organizational skills, effective communication, and the ability to react quickly are critical to success. In addition to hardware and network repair, candidates will install equipment, create documentation, innovate solutions, and fix problems within the data center space. This team works in an environment that operates 24/7. Traveling within and outside of the regional work area is required. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. NOTE: PDX is an AWS GovCloud region. As required by our contracts with the federal government, effective February 24, 2026, logical access to the AWS GovCloud region will be restricted to Amazon employees who are U.S. Citizens. (GovCloud may NOT be accessed from outside of the United NOTE: Lump sum stipend will be provided to eligible candidates who relocate for this position. . Key job responsibilities Performing server rack installations, hardware break-fix on various components, troubleshooting network issues, and responding to operational incidents that impact service availability, escalating to senior technicians and management as needed/required Serving as a primary contact point for both internal and external stakeholders, including engineers, software developers, vendors, and contractors Performing on-call duties and participating in scheduled maintenance and change management activities Contributing to documentation and process improvement initiatives based on your analysis of operational issues Helping to train and onboard new team members Physical requirements: Regularly lift and/or move up to 40 pounds; and participate in group lifts for 41+ pounds Working in cramped and/or elevated locations Bending, lifting, stretching, and reaching Standing and walking for up to 8+ hours a day Ascending and descending ladders, stairs, and gangways safely and without limitation Work in a noisy environment Work shifts longer than 8 hours to support 24/7 operations (covering both night and day shifts). This role supports data centers in various operational stages. The position may be assigned to a facility still under development, which could require travel to established locations for training until your designated site becomes fully operational. Essential Requirements: Ability to travel to or commute between data center locations as needed Willingness to temporarily work at alternative sites during training periods or until assigned facility is operational Travel frequency will vary based on business needs and operational status of assigned facility Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs. A day in the life As a Data Center Technician professional, you have industry-leading technical abilities and demonstrate a breadth of knowledge while you: Take ownership of technical issues brought by their customer base, engaging other teams when needed to drive resolution Solve problems at their root and step back to understand the broader context Maintain service level agreements through the implementation of proactive issue detection and reporting You will be required to work shift work that will include days/nights/weekends/holidays. Traveling within and outside of the regional work area is required. You will be responsible for having a reliable personal vehicle and valid driver's license to travel within the regional work area, as company transportation will not be provided. About the team Why AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred 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. 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. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion of events fosters stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. 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 - High school or equivalent diploma - 1+ years of computer/server hardware troubleshooting or related IT experience - Ability to work on a flexible schedule including days, nights, and/or weekends. PREFERRED QUALIFICATIONS - Experience managing work and priorities through a ticketing system - Experience working in a Data Center environment - An Associate's degree, technical certification, or equivalent professional or military experience in a relevant field (e.g., computer science, networking engineering, etc.) - Understanding of network design, protocols and layer 1/2 troubleshooting 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 starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at . USA, OR, Boardman - 27.00 - 48.00 USD hourly

Every day, customers run millions of queries on Amazon Athena, from ad-hoc exploration to mission-critical pipelines. Athena is now building its next-generation engine across multiple engines and the Engine Front End team is responsible for the query lifecycle management and routing queries to the right engine with the optimal configuration. Amazon Athena is an interactive query service that simplifies data analysis in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to set up or manage. Our customers use Athena to process logs, perform data analytics, and run interactive queries and get started quickly. This is all done through a simple, easy to use API in front of a complex, distributed system. Key job responsibilities Our ideal candidate has strong programming skills and sound judgment about distributed systems that customers depend on every day. As an SDE II on the team you will own features and services end to end: shape designs with input from senior engineers and your manager, build, test, ship through our release pipelines, and operate what you ship in production. The problems are concrete and hard. Route millions of queries a day across engine generations without customers noticing. Prove a new engine build is safe before it takes production traffic. Keep the submission path fast and reliable while the engine underneath it changes. Everything you ship is exercised by every query Athena runs, so we care about engineers who sweat correctness, deployment safety, and failures that make sense to customers. We expect you to learn the system deeply, raise problems we have not spotted yet, and grow toward driving designs independently. 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 - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - 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. 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, NY, New York - 158 800.00 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

Sr Staff Embedded Systems Engineer, Wellness Work Mode: Onsite Location: Onsite 4 - Kohler, WI Opportunity Shape the future of at-home wellness-where water, hardware, firmware, and environment come together to restore, recover, and re-energize. As a Senior Staff Embedded Systems Engineer, you will turn emerging technologies into real, physical experiences - systems that can be felt, not just described. You will define architecture, build working solutions, and prove performance in the environments where it matters most. This is a role for a hands-on leader who creates momentum through action, bringing Kohler's vision for elevated daily rituals to life. Core Responsibilities Lead by doing. Define system requirements, design, build, test, and refine working hardware and firmware from first concept through validation, creating tangible wellness experiences that perform in the real world. Define system architecture. Architect robust, end-to-end embedded systems that unify electronics, firmware, sensing, and controls with water, steam, thermal, lighting, and air. Establish scalable platforms that enable consistent, elevated experiences across products. Engineer systems that are felt. Design and develop integrated hardware (PCBAs, control systems, sensor networks, and electro-mechanical interfaces) that deliver comfort, precision, and reliability in demanding bathroom environments. Own electronics execution. Lead schematic design, PCB layout, component strategy, and bring-up, driving hardware from concept into validated, production-ready systems. Design for real-world conditions. Create solutions that perform under heat, humidity, and water exposure, balancing durability, safety, and long-term reliability through strong engineering fundamentals. Integrate firmware with intent. Ensure responsive, intuitive control, translating hardware capability into seamless user experience. Prototype the experience. Build early and test often using hands-on iteration to validate not only function, but how the system restores, relaxes, and performs. Prove feasibility. Bring clarity to ambiguity, defining requirements, identifying risks, and validating solutions through structured testing, tolerance analysis, and costed execution plans. Drive manufacturability. Translate complex systems into scalable, buildable solutions aligned with supplier capability and production realities. Protect and create IP. Develop hardware innovations that are both differentiated and defensible, strengthening Kohler's leadership in wellness. Stay ahead. Continuously explore advancements in sensing, control, and environmental systems to inform what comes next. Communicate with clarity. Deliver focused, technically grounded insights that accelerate decisions and de-risk execution. What Success Looks Like Embedded systems that don't just function, but elevate daily ritual into meaningful wellness experiences Scalable platforms that bring consistency and differentiation across product lines First-to-market innovations that integrate seamlessly into real environments Patented technologies that define Kohler's leadership in wellness Skills/Requirements Bachelor's degree (or higher) in Electrical Engineering, Computer Engineering or equivalent 8-10+ years delivering consumer product NPD Hands-on builder with a strong sense of ownership and follow-through Deep expertise in embedded systems (electronics + firmware integration) including architecture and design of complex electromechanical products Strong mixed-signal analog and digital circuit design fundamentals Board-level design and validation of electronic circuits including component selection, schematic capture, and PCB layout (Altium preferred) Experience developing and leading implementation of test plans for hardware/firmware, and to ensure regulatory compliance (EMC, FCC, CE, UL, etc) Real-time embedded systems experience with microprocessors and microcontrollers Demonstrated experience in firmware design and documentation practices Strong knowledge in embedded C/C++ and object-oriented programming Demonstrated knowledge and experience in writing firmware for applications incorporating RTOS DfX and quality management methodologies (FMEA, DFMEA, DFM/DFA) Strong root cause analysis and debugging capabilities of both hardware and firmware Preferred Power electronics and power conversion Environmental sensing (temperature, humidity, flow, air) Connected systems (BLE, Wi-Fi, MQTT, Matter) Exposure to biometrics or machine learning CUSTOM.PAY.TRANSPARENCY Why Choose Kohler? We empower each associate to with a competitive total rewards package to support your health and wellbeing, access to career growth and development opportunities, a diverse and inclusive workplace, and a strong culture of innovation. With more than 30,000 bold leaders across the globe, we're driving meaningful change in our mission to help people live gracious, healthy, and sustainable lives. About Us It is Kohler's policy to recruit, hire, and promote qualified applicants without regard to race, creed, religion, age, sex, sexual orientation, gender identity or expression, marital status, national origin, disability or status as a protected veteran. If, as an individual with a disability, you need reasonable accommodation during the recruitment process, please contact . Kohler Co. is an equal opportunity/affirmative action employer.

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