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Application deadline: Nov 11, 2026 The Frontier ADC team is at the forefront of delivering the AWS GenAI and Agentic AI service portfolio to our customers in GovCloud and isolated environments. We are dedicated to pushing the boundaries of what is possible in this rapidly evolving field, leveraging the power of cloud computing and the latest advancements in artificial intelligence and machine learning technologies. With a focus on expanding Frontier AI services across GovCloud and isolated regions, driving automation investments, and delivering innovative solutions, we are at the forefront of modernization. Our teams are innovating new ways of building massively scalable distributed systems and delivering the next generation of cloud computing across the GenAI and Agentic AI service portfolio. We support the GenAI and Agentic AI service portfolio including services like Amazon Bedrock, Amazon Quick, Amazon Bedrock AgentCore, and Kiro. We are seeking a Software Development Engineer II who can think big and simplify solutions to complex problems, all while ensuring our customers continue to have the best experience possible! A successful Software Development Engineer II joining the team will be an innovator, building solutions and working closely with Amazon's largest and most demanding government customers to address their specific needs across a suite of Frontier AI services in GovCloud and isolated environments. They will drive the resolution of technical issues and work diligently to improve the customer experience. This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance. The position further requires that, after start, the selected candidate obtain and maintain an active TS/SCI security clearance with polygraph or commensurate clearance for each government agency for which they perform AWS work. Key job responsibilities The ideal candidate will: • Be great fun to work with. Our company credo is "Work hard. Have fun. Make history". The right candidate will love what they do and instinctively know how to make work fun. • Have strong Linux & Networking Fundamentals. The ideal candidate will have deep experience working with Linux, preferably in a large scale, distributed environment. You understand networking technology and how servers and networks inter-relate. You regularly take part in deep-dive troubleshooting and conduct technical post-mortem discussions to identify the root cause of complex issues. • Have strong software and systems skills. The ideal candidate will have deep experience working with systems in a large scale, distributed environment. You understand networking technology and how servers and networks inter-relate. You are comfortable facilitating deep-dive troubleshooting and leading technical post-mortem discussions to identify the root cause of complex issues. • Love to solve problems. The ideal candidate will love leading teams to solve difficult technical problems related to AWS service builds and operations in GovCloud and isolated environments. You have a solid understanding of systems design, operations, automation, and process improvement. • Think Big. The ideal candidate will work on projects building and deploying solutions across GovCloud and isolated regions. You will strive to build a culture to improve and streamline processes to allow for work on a massive scale. A day in the life As a Software Development Engineer II in Frontier ADC, you will build innovative solutions, expand services into GovCloud and isolated regions, and improve our operations to provide resiliency and the best experience for our customers. You influence technical strategy and architectural decisions within the team and with partner teams and make data-driven decisions. Successful candidates will be expected to show leadership on strong Bias for Action, Invent and Simplify, Insist on the Highest Standards, and Deliver Results. You will develop, build, and operate AWS Frontier AI services that enable customers to leverage generative AI and agentic capabilities in secure environments. Our engineering teams support services running in GovCloud and isolated regions, creating unique engineering challenges and opportunities for innovation. The Frontier ADC team is responsible for diving deep to resolve operational challenges, innovating to automate operational tasks, building solutions for our customers, supporting execution of various security campaigns (blocked software, host patching), and parity programs. As a Software Development Engineer II you will: • Work cross-functionally to foster a constructive dialogue, harmonize discordant views, and lead the resolution of contentious issues. • Love to code. Whether it's building tools in Java or solving complex system problems in Python, the ideal candidate will love using technology to solve problems. • Think Big. The ideal candidate will build and deploy solutions across thousands of devices. You will strive to improve and streamline processes to allow for work on a massive scale. About the team Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. AWS Infrastructure Services (AIS) 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. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Mentorship and 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. Diverse Experiences Amazon 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. BASIC QUALIFICATIONS- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems 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 - Current, active US Government Security Clearance of Top Secret with SCI eligibility or above PREFERRED QUALIFICATIONS- Bachelor's degree in computer science or equivalent - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - 3+ years of software development engineer or related occupational experience - 2+ years of Object Oriented Design experience 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, CO, Denver - 143 400.00 USD annually

We're at an exciting juncture to redefine the future of EC2 networking for Cloud Computing in 2025. To achieve our ambitious goals, we're expanding our team and looking for a Senior Engineer to lead the development of a new EC2 Service critical to scale our current and next-generation Machine Learning (ML) and HPC Platforms. You will also be a technical leader for a team that owns the software-defined networking (SDN) dataplane stack that powers EC2 networking across diverse industries such as ML, Cloud Gaming, Health, Fintech, and Video Streaming. Our work impacts millions of customers globally, delivering secure, scalable, and high-performance networking solutions at incredible scale. With the extensive network and access to Principal, Sr. Principal and Distinguished Engineers across EC2, AWS and Amazon, you are surrounded by talent that will provide you opportunities to maximize your influence and impact on the organization. Key job responsibilities Key job responsibilities Lead the end-to-end design, scoping, implementation, and integration testing of new products and features that run on the EC2 Nitro System. You set high standards for development processes, tools, and automation to enhance team productivity and quality. Own the team architecture and define best engineering practices on design and coding. You identify business problems and opportunities, and advocate for technical solutions that influences the technical roadmap for your team and partner teams. Mentor engineers with scoping, design, and developing scalable and maintainable code. Collaborate with Principal Engineers, Product Managers, Sr TPMs, and cross-functional teams to define requirements, system architectures, and implement robust and scalable solutions. A day in the life Our team puts a high value on work-life harmony. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here. About the team Our team is dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our senior engineers truly enjoy mentoring more junior engineers and engineers from non-traditional backgrounds through one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth. We try to assign projects and tasks based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS- 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team - Experience writing low level drivers, or experience in embedded development in C/C++ PREFERRED QUALIFICATIONS- 5+ 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 - 4+ years of highly scalable systems experience - Experience with embedded software 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, San Diego - 168 400.00 USD annually

Join the AWS EC2 Nitro team building the foundation of cloud computing at unprecedented scale. EC2 Nitro powers the world's largest and fastest-growing compute cloud through ground-up virtualization design built on fully custom hardware, firmware, and applications. Our platform supports Intel, AMD, and Amazon's Graviton processors while setting industry standards for security and performance. The EC2 Nitro local storage team is seeking an experienced Software Development Engineer to build virtualized, hardware-accelerated solutions for EC2 disk instances at global scale. Our platforms support workloads requiring high-performance read/write access to massive local datasets, including relational and NoSQL databases, analytics engines, search platforms, and data warehousing systems that power state-of-the-art AI/ML infrastructure. This role offers unique opportunities to work across the full technology stack-from low-level hardware optimization to high-level frameworks. If you are passionate about solving complex performance optimization problems at massive scale while directly influencing product strategy, this position provides the perfect opportunity to make significant impact on the infrastructure powering modern cloud computing and AI/ML workloads. Key job responsibilities The ideal candidate is expected to have a solid understanding of computer science fundamentals and embedded concepts and expertise in C, C++, Java, Rust or similar development in a Linux environment. Experience with Linux package management, version control systems, automated build processes, and software unit testing is required. A day in the life We place a high value on work-life balance. We believe striking the right balance between your personal and professional life is critical to lifelong happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal life. About the team Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough but kind code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. BASIC QUALIFICATIONS- 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS- 5+ 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, SANTA CLARA - 193 500.00 USD annually

Job Description Job Description Join the Team That's Redefining Wireless TechnologyAt Tarana, we're more than just a fast-growing tech company-we're a team of bold innovators on a mission to revolutionize broadband. Our groundbreaking Fixed Wireless Access technology is delivering fiber-class internet speeds worldwide, bridging the digital divide in ways previously thought impossible.About the Role Tarana is scaling field deployments 5 , and we're looking for a senior engineer to own the technical execution and continuous improvement of hardware failure analysis and diagnostics. You will lead investigations from the returned unit through root cause, disposition, and corrective action, while building the automation, data, and cross-functional processes that allow HW QA to scale with the fleet. As a Staff Hardware QA & Diagnostics Engineer you will have broad technical influence and ownership across multiple components. You'll lead ambiguous investigations, propose clear next steps, and partner closely with Hardware, Firmware, Software, Manufacturing, Customer Support, and Field teams; turn ambiguous field and production failures into evidence-based conclusions; and help define validation strategy for new hardware. You'll also help mentor engineers and raise the quality and consistency of the team's diagnostic practices. What You'll Own Lead end-to-end RMA and failure-analysis investigations: review field evidence, reproduce failures, isolate root cause, determine disposition, propose clear next steps, coordinate follow-through, and drive corrective actions to closure. Own the technical quality and timeliness of hardware diagnostic results, including clear separation of hardware, firmware/software, configuration, and no-fault-found cases Define and improve diagnostic methods, test plans, acceptance criteria, lab procedures, and data-collection standards. Design and maintain production-quality Python/Bash automation and reusable tools for bench testing, log analysis, test-station workflows, and trend detection. Lead complex investigations involving RF, memory, power, serial interfaces, Linux boot, GPS, and timing subsystems. Partner with Hardware, Firmware, Software, Manufacturing, and Customer Support to resolve issues and communicate evidence-based recommendations. Identify systemic trends across returned units, manufacturing data, and field reports; quantify recurrence, recommend preventive actions, track corrective actions through verification, and monitor results to ensure issues do not resurface. Lead power-on verification, subsystem qualification, Linux boot validation, and diagnostic readiness for new hardware revisions. Lead process improvements that reduce failure-analysis cycle time and no-fault-found rate, increase automation coverage, improve final unit dispositions, and create roadmaps for diagnostic capabilities and feature support. Mentor other engineers and contribute to technical standards, documentation, and team operating practices. What you'll be doing: Receive returned field units and develop an efficient investigation plan based on the reported symptoms and available evidence. Use oscilloscopes, logic analyzers, multimeters, serial consoles, network tools, and other lab equipment to validate hypotheses. Analyze embedded Linux logs, firmware behavior, telemetry, test output, and hardware measurements together rather than in isolation. Build focused experiments that distinguish intermittent, environmental, hardware, and software-related failure modes. Document findings so that another engineer can reproduce the reasoning, results, and recommended disposition. Represent HW QA in design reviews, failure reviews, bring-up planning, and cross-functional issue reviews. Evaluate and apply AI-assisted diagnostic tools where they improve investigation speed, consistency, or fleet-scale pattern recognition. What You'll Need: Bachelor's degree in Electrical Engineering, Computer Engineering, or equivalent. 9+ years of hands-on experience in hardware QA, failure analysis, embedded systems, electronics troubleshooting, or a comparable role; equivalent depth of experience is also considered. Demonstrated ownership of complex hardware investigations from symptom through root cause and corrective action, including proposing next steps, tracking action items, and verifying that fixes remain effective over time. Strong practical proficiency with lab equipment, including oscilloscopes, logic analyzers, multimeters, and serial/console tools. Ability to isolate hardware faults from firmware, software, configuration, and test-environment issues. Strong Python and/or Bash skills for automation, data extraction, log parsing, and diagnostic tooling. Experience working in embedded Linux environments and interpreting system, kernel, boot, and application logs. Experience developing test plans, defining acceptance criteria, improving QA or failure-analysis processes, and creating practical roadmaps for new diagnostic features and capabilities. Excellent technical writing, organization, and communication skills, including the ability to influence cross-functional decisions with evidence. Ability to work independently in ambiguous situations, prioritize competing investigations, and drive issues to closure. Preferred areas of expertise: Experience with RF or wireless systems, GPS/GNSS, timing, high-speed digital interfaces, memory, or power systems. Experience with new-board bring-up, subsystem qualification, automated test stations, or production test integration. Familiarity with hardware/software traceability, manufacturing data, RMA systems, and fleet-level quality metrics. Experience mentoring engineers or leading cross-functional technical projects without direct authority. Familiarity with automated test frameworks, CI pipelines, data visualization, or statistical failure analysis. How Success Is Measured Staff-level ownership of ambiguous, multi-component investigations from problem definition through verified corrective-action closure. Predictable delivery of 2-6 month diagnostic and process-improvement work, with risks, dependencies, deadlines, and documentation actively managed. Reduced failure-analysis cycle time, no-fault-found rate, recurring failures, and escapes, using baseline-to-target metrics. Production-quality automation and diagnostic methods adopted across the team, with increased coverage, reuse, and maintainability. Cross-functional HW/FW/SW/Manufacturing alignment on priorities, decisions, and corrective actions, with verified follow-through and monitoring. Technical leadership and mentoring that raise team-wide diagnostic quality, consistency, and ability to execute without a single-person bottleneck. Why This Role Own work that directly affects field quality, customer experience, and product reliability at scale Work across the full lifecycle-from returned units and manufacturing data to new-hardware bring-up and validation. Have broad technical influence without being limited to a single subsystem or test station. Build the automation and diagnostic capabilities that will shape how Tarana supports a rapidly growing fleet. Join a hands-on team where rigorous bench evidence leads directly to engineering action. Compensation and Benefits: What we offer: We don't just build next-gen wireless technology - we build people.

Job Description Job Description About the Company: At SK Hynix Memory Solution, we're at the forefront of semiconductor innovation, developing advanced memory solutions that power everything from smartphones to data centers. As a global leader in DRAM and NAND flash technologies, we drive the evolution of advancing mobile technology, empowering cloud computing, and pioneering future technologies. Our cutting-edge memory technologies are essential in today's most advanced electronic devices and IT infrastructure, enabling enhanced performance and user experiences across the digital landscape. We're looking for innovative minds to join our mission of shaping the future of technology. At SK Hynix Memory, you'll be part of a team that's pioneering breakthrough memory solutions while maintaining a strong commitment to sustainability. We're not just adapting to technological change - we're driving it, with significant investments in artificial intelligence, machine learning, and eco-friendly solutions and operational practices. As we continue to expand our market presence and push the boundaries of what's possible in semiconductor technology, we invite you to be part of our journey to creating the next generation of memory solutions that will define the future of computing. About the Team: At SK hynix, our team's dedication to advancing enterprise SSD technologies through rigorous PCIe NVMe validation and testing has established us as industry leaders. Our focus on system-level tests, feature validation, and meticulous bug analysis underpins the reliability of our products. With expertise in testing and debugging embedded systems, we ensure that our enterprise PCIe NVMe SSD products meet the highest standards. Key Responsibilities Oversee the progress of testing, identify potential issues, and report findings to ensure compliance with design specifications, as well as with customer standards and requirements. Collaborate closely with other teams, including SOC, FW, and HW, to address and resolve product challenges. Implement coordinated efforts to debug system issues, ensuring seamless integration and reliability. Foster open communication channels to facilitate efficient problem-solving and enhance the overall product quality. Provide customer support. Address customer inquiries, resolve issues, and ensure customer satisfaction by maintaining clear communication and prompt responses. Requirements: Education and Experience: Bachelor of Science in Computer Science, Computer Engineering with 10+ years of storage-related experience, OR M.S. in CS, CE, or related field with 7+ years of storage-related experience is required. Technical Skills: Proficient in PCIe protocol, NVMe, and NAND is required. Knowledge of Linux Kernel and drivers is a plus. Strong understanding of storage architectures and system-level debugging is also beneficial. Experience with bus analyzers and trace evaluation tools is required. Programming Proficiency: Strong proficiency in programming languages such as python, C and C++ is required. COMPENSATION: $150,000/yr - $210,000/yr REGARDING COMPENSATION: SK hynix memory solutions America Inc. offers you the opportunity to apply your skills to exciting projects while working with innovative teams. Our compensation package is complimented by a generous benefits package including medical, dental, vision, life insurance and a company 401(k) match, as well as cafeteria, onsite gym and much more. If you are motivated by technical challenges, we offer a collaborative work environment that encourages career growth. The salary offered to a selected candidate will be tailored based on several factors, including the location, job grade, relevant knowledge, skills, and experience. We also take into account the internal equity among our current team members to ensure fairness and competitiveness.

Job Description Job Description Company Description At Alertus, protecting people from harm is our mission and our passion. As the leader in mass notification, we are committed to providing customizable, scalable, and cost-effective solutions, as we know even a few seconds of warning can help save lives during an emergency. Our employees are integral to the company's success and impact countless people's lives, safety, and well-being. We aim for a positive, collaborative environment that allows employees to work across departments easily and effectively. Job Description We are looking for a talented hardware engineer to make a meaningful impact to Alertus, its customers, and the mass emergency notification industry. The Hardware Engineer will report to the VP, Product Development, and will be a key player in bringing our mission to life. In this role, you will be responsible for developing, maintaining, and improving innovative life safety solutions. Our ideal candidate is an experienced, detail-oriented person used to working on a team and contributing to the ongoing success of the project. This is an office based role and requires reporting to our HQ in Baltimore daily. A Day in the Life: Work with other engineers to develop new embedded electronics and increase capabilities of legacy ones Design, prototype, and document new electronic components to be used standalone or as parts of larger systems Create necessary packages for transfer to Production and Implementations teams including bill(s) of materials, assembly instructions, test plans, and user documentation Work with QA to ensure product developments meet requirements and are ready to transition to Production team Provide high-level technical assistance to Sales team(s) for existing and legacy product(s) as necessary Other duties as assigned Required Skills & Abilities: Experience with digital and analog design techniques including best practices for volume production repeatability and reliability Electrical design experience using schematic capture tools Design experience with mixed voltage systems and various serial protocols Experience with prototype debug tools such as oscilloscope and logic analyzer as well as techniques to identify and resolve issues Working experience with embedded firmware development and repository systems Design experience with mixed voltage systems and various serial protocols Ability to travel on occasion Desired Skills: Embedded WiFi knowledge/experience Knowledge of network operation and infrastructure Some experience working with mechanical design to develop electronic housings Experience with low power design/battery powered design/design to cost concepts Working knowledge of techniques to reduce EMI/ESD/Susceptibility issues Strong written and oral communication skills with understanding how to engage both technical and non-technical audiences Education & Experience: Bachelor's degree in Electrical Engineering or related field 5-8 years of hands-on experience Alertus Career Advantages: Unlimited Paid Time Off Paid Holidays 401(k) Retirement Plan Medical, Dental, and Vision Plans Short-term Disability, Accident, Hospital, and Cancer Insurance Live Near Your Work Homebuying Incentive Program Employee Referral Bonuses Flex Scheduling The referenced base salary range represents the low and high end of Alertus' salary range for this position. Not all candidates will be eligible for the upper end of the salary range. Exact salary will depend on several factors, which may include the successful candidate's geographic location, skills, work experience, market conditions, education/training and other qualifications. Additional Information: All applicants who wish to be employed by Alertus, regardless of work location, must be fully vaccinated or in the progress of vaccination by the first day of their employment (some exceptions may be considered if within the guidelines of the company policy). Proof of vaccination or exemption must be provided prior to their start date. Protecting people from harm is what we do. It's our mission and our passion. As a company dedicated to developing advanced technologies to help save lives, we feel strongly that our employees protect themselves and others from a potentially fatal virus. We encourage everyone who can safely do so to vaccinate against COVID-19. Alertus Technologies is an Equal Opportunity/Affirmative Action Employer. All applicants will be considered for employment without attention to race, color, sex, religion, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. All your information will be kept confidential according to EEO guidelines. AT THIS TIME, ALERTUS DOES NOT PROVIDE VISA SPONSORSHIP We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Job Description iOS Mobile Capability Developer Columbia, MD Full Time TS/SCI with Full-Scope Polygraph Required Position: iOS Mobile Capability Developer (Computer Scientist, Level 1) Location: Columbia, MD (on-site) Category: Software Development / Mobile Embedded Platforms / Reverse Engineering Clearance Requirement: Active TS/SCI with Full-Scope Polygraph Compensation: $90,000 - $110,000 (annualized USD) Experience Requirement: 1+ year with a Bachelor's degree, OR 0+ years with a Master's degree At least 1 year of cybersecurity-related software development experience Degree must be in Computer Science, Computer Engineering, or a closely related discipline Description We are seeking an iOS-savvy software developer to join a small, mission-impactful team building new capabilities on mobile platforms. You'll combine deep iOS internals knowledge with reverse engineering skills to design, prototype, and harden tools that solve real, hard problems. This role offers room to grow alongside experienced engineers - you'll take ownership of components from the start, and your work will be deployed and used quickly rather than sitting in a backlog. Responsibilities Develop, modify, and integrate software targeting iOS and related Apple platforms. Reverse engineer iOS applications, libraries, and platform components to inform capability design. Prototype creative solutions to complex platform-level problems and iterate based on testing and user feedback. Produce and maintain technical documentation for the tools and components you build. Collaborate with senior engineers, analysts, and end users to refine requirements and approach. Skills Requirements Hands-on experience with iOS internals. Reverse engineering experience on mobile or embedded platforms. Production-grade software development experience in at least one systems language (C, C++, Objective-C, Swift). Familiarity with Linux/macOS development environments. Familiarity with Git and Atlassian tooling (Jira, Confluence). Strong critical thinking, communication, and collaboration skills. Nice to Haves Experience with ARM assembly and low-level debugging. Familiarity with iOS exploitation, jailbreak research, or vulnerability research. Experience with embedded firmware analysis. Exposure to Android, Bluetooth, or other adjacent mobile platforms. Familiarity with GitLab CI/CD workflows. Compensation Employment Policy Salary is determined by multiple factors, including location, education, experience, skills, and organizational requirements. The projected compensation range for this position is $90,000 - $110,000 (annualized USD). Benefits Overview At Intezra, Inc., we offer a comprehensive benefits package designed to support long-term career growth and work-life balance: Three CareFirst medical plans available; Intezra pays up to 100% of healthcare premiums and up to 100% of deductibles (based on plan selection) for employees and dependents Intezra pays 100% for CareFirst Dental and Vision plans for employees and dependents 401(k): 15% company contribution (no match required) PTO: 160 hours, increasing with seniority 12 Floating Holidays 4 Code Red Days EEO Statement Intezra, Inc. provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any kind without regard to race, color, religion, age, sex, national origin, disability status, genetics, pregnancy, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. About Us Intezra Inc. is a small business prime contractor for all realms of cyber and AI/ML development, from tactical-level tools and capabilities to enterprise-level infrastructure and operations. Our leadership team and staff have helped solve the most complex challenges for the intelligence community for over 15 years. , About Intezra, Inc. Intezra Inc. is a small business prime contractor for all realms of cyber and AI/ML development, from tactical-level tools and capabilities to enterprise-level infrastructure and operations. Our leadership team and staff have helped solve the most complex challenges for the intelligence community for over 15 years.

Job Description Job Description Job Description Mobile Baseband Software Engineer Columbia, MD Full Time TS/SCI with Full-Scope Polygraph Required Position: Mobile Baseband Software Engineer (Computer Scientist, Level 2 or Level 3) Location: Columbia, MD (on-site) Category: Software Development / Mobile Baseband / Reverse Engineering Clearance Requirement: Active TS/SCI with Full-Scope Polygraph Compensation: $150,000 - $205,000 (annualized USD) Experience Requirement: Level 2: 5+ years with a Bachelor's degree, OR 3+ years with a Master's degree, OR Level 3: 10+ years with a Bachelor's degree, OR 8+ years with a Master's degree At least 3 years of cybersecurity-related software development experience Degree must be in Computer Science, Computer Engineering, or a closely related discipline Description We are looking for an experienced Baseband team member to support the development of new and existing capabilities on mobile platforms. You'll work close to the metal - combining strong C programming skills with reverse engineering across diverse architectures to extend baseband capabilities and analyze how mobile devices behave at the protocol and platform level. This is hands-on, deeply technical work in a small team where your contributions directly shape the capability roadmap. Responsibilities Design and develop new baseband-related capabilities and extend existing ones. Perform analysis and reverse engineering of mobile devices and baseband components across multiple architectures. Write production-grade C code targeting constrained and embedded environments. Investigate device and protocol behavior, document findings, and turn them into actionable engineering work. Collaborate with subject matter experts, fellow developers, and end users on requirements, prototypes, and refinements. Contribute to code reviews, technical documentation, and design discussions. Skills Requirements Experience supporting development on or analysis of mobile devices. Strong proficiency in C programming. Reverse engineering experience across diverse architectures (e.g., ARM, MIPS, x86). Comfort working in Linux-based development environments. Familiarity with low-level debugging, embedded toolchains, and platform internals. Strong written and verbal communication skills. Nice to Haves Experience with vulnerability research. Experience with cellular/baseband protocols (LTE, 5G NR, etc.). Familiarity with firmware extraction and analysis. Experience with exploit development. Familiarity with Ghidra, IDA Pro, or radare2. Atlassian Tools (Jira, Confluence) and Git/GitLab workflows. Compensation Employment Policy Salary is determined by multiple factors, including location, education, experience, skills, and organizational requirements. The projected compensation range for this position is $150,000 - $205,000 (annualized USD). Benefits Overview At Intezra, Inc., we offer a comprehensive benefits package designed to support long-term career growth and work-life balance: Three CareFirst medical plans available; Intezra pays up to 100% of healthcare premiums and up to 100% of deductibles (based on plan selection) for employees and dependents Intezra pays 100% for CareFirst Dental and Vision plans for employees and dependents 401(k): 15% company contribution (no match required) PTO: 160 hours, increasing with seniority 12 Floating Holidays 4 Code Red Days EEO Statement Intezra, Inc. provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any kind without regard to race, color, religion, age, sex, national origin, disability status, genetics, pregnancy, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. About Us Intezra Inc. is a small business prime contractor for all realms of cyber and AI/ML development, from tactical-level tools and capabilities to enterprise-level infrastructure and operations. Our leadership team and staff have helped solve the most complex challenges for the intelligence community for over 15 years. , About Intezra, Inc. Intezra Inc. is a small business prime contractor for all realms of cyber and AI/ML development, from tactical-level tools and capabilities to enterprise-level infrastructure and operations. Our leadership team and staff have helped solve the most complex challenges for the intelligence community for over 15 years.

Job Description Job Description Estrada Consulting, Inc. is seeking a Senior Applications, Data & AI Assessment Lead to evaluate enterprise applications, information systems, data management practices, integration capabilities, and emerging technology opportunities within a municipal government environment. Location: Remote / Hybrid - Nantucket, MA Project Duration: Approximately 120 days, anticipated January-May 2027 Work Arrangement: Remote work with required onsite assessment visits to Nantucket Island. Position Overview: The selected consultant will assess enterprise applications, business systems, data platforms, software lifecycle practices, digital services, and opportunities for modernization and responsible artificial intelligence adoption. The consultant will document existing capabilities, identify gaps and redundancies, evaluate business and technical risks, and develop practical recommendations for application modernization, data governance, automation, and strategic technology investment. Key Responsibilities: Inventory and evaluate enterprise applications, departmental systems, software licenses, databases, and related technology platforms. Assess application health, functionality, lifecycle status, vendor support, integration capabilities, and alignment with business requirements. Review business workflows, application dependencies, data flows, interfaces, and opportunities for process improvement. Evaluate data management practices, including data ownership, quality, accessibility, reporting, records management, and information governance. Assess GIS-related application dependencies, integration requirements, and data exchange capabilities. Identify redundant, obsolete, underutilized, or unsupported applications and recommend modernization alternatives. Review software change management, testing practices, application maintenance, and technology lifecycle management. Assess readiness for digital transformation, workflow automation, and resident-facing digital services. Evaluate approved or embedded artificial intelligence capabilities, including AI governance, data readiness, human oversight, access permissions, security risks, and operational support. Develop application capability maps, gap analyses, modernization recommendations, and potential AI use-case assessments. Conduct stakeholder interviews and application walkthroughs to document current conditions and desired business outcomes. Collaborate with infrastructure, cybersecurity, and governance specialists to identify cross-functional risks and dependencies. Prepare findings, estimated implementation effort and costs, investment priorities, and recommendations for a multi-year IT strategic roadmap. Required Qualifications: Demonstrated experience conducting enterprise application, business systems, or technology portfolio assessments. Strong knowledge of enterprise application architecture, system integration, databases, and information management. Experience evaluating business workflows, application functionality, technology dependencies, and modernization opportunities. Experience conducting business analysis, requirements assessments, data analysis, or enterprise technology reviews. Working knowledge of data governance, information quality, reporting, and application lifecycle management. Familiarity with AI capabilities, responsible AI assessment considerations, and related data and security risks. Strong stakeholder interviewing, analytical, documentation, and executive reporting skills. Ability to develop actionable technology recommendations aligned with organizational priorities. Availability for required onsite work in Nantucket, Massachusetts. Preferred Qualifications: Previous experience evaluating municipal, county, or other public-sector enterprise applications. Experience with application portfolio management, enterprise architecture, GIS integration, and digital government services. Familiarity with Microsoft Power Platform, cloud applications, data analytics, or enterprise integration technologies. Experience evaluating AI use cases, automation opportunities, data readiness, and AI governance practices. Relevant enterprise architecture, business analysis, data management, cloud, or AI professional certifications. Experience preparing application modernization roadmaps, cost estimates, and executive-level strategic recommendations. Work Location and Travel Requirements: This position is primarily remote with mandatory onsite assessment work on Nantucket Island. Candidates must be available for two separate onsite periods of approximately two weeks each, anticipated during project Weeks 3-4 and Weeks 9-11. Exact schedules will be coordinated with the project team. Candidates are not required to reside on Nantucket.

Job Description Job Description DEPLOY's Client's Cyber Works and Digital Engineering teams in Huntsville, Alabama design, build, and integrate emerging AI/ML technologies to harden and secure the systems that defend the nation, across ground, missile defense, space, and installation infrastructure S&T programs. We're expanding our Secure AI practice to build and assure trusted, robust AI/ML solutions that interpret complex datasets, predict outcomes, and automate decision-making in support of critical military platforms. This is a consolidated announcement covering multiple tracks; your assignment may emphasize one or a blend of: Classic ML & Predictive Modeling, LLM/GenAI Applications, AI Assurance & Responsible AI, Edge AI/ML Deployment, and hardening AI/ML systems against adversarial threats. All tracks require independent research, cross-functional collaboration, and the ability to clearly communicate complex technical work to stakeholders. Core Responsibilities: Design, develop, and maintain machine learning models, from classical algorithms (regression, tree ensembles, clustering) to modern deep learning architectures. Build LLM-enabled applications and retrieval-augmented generation (RAG) pipelines, including vector embedding generation, vector database integration, and prompt/context engineering. Develop AI assurance and evaluation tooling: robustness testing, bias/fairness analysis, model traceability, red-team/adversarial testing, and audit artifact generation. Optimize and deploy models for production and edge environments (quantization, compression, containerized inference, ONNX/TensorRT). Implement secure model and data pipelines, defend against adversarial ML threats, and ensure supply-chain integrity (SBOM) for AI components. Conduct data processing/analysis to improve model accuracy; document and present development processes and assurance evidence to stakeholders. Contribute to Agile, team-based planning and estimating in a fast-paced, collaborative environment. Minimum Requirements: Bachelor's degree or equivalent experience in CS/CPE/EE/Data Science (or related field). Proven experience in one or more: ML/LLM development, assurance/evaluation tooling, or deploying edge computing solutions. Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Proficiency in Python and at least one additional language (Java, C++). Strong understanding of data structures, data modeling, and software architecture. Highlighted Skills & Experience: Modern AI: LLM frameworks and application development; vector embeddings and vector databases; RAG architectures; prompt/context engineering; LLM fine-tuning; model evaluation and benchmarking. Classic ML: Feature engineering, model selection/tuning, statistical analysis, and predictive modeling across structured and unstructured data. AI Assurance: Responsible AI practices (robustness, bias/fairness, traceability); adversarial ML defenses; red-team testing; auditability and compliance documentation. Edge & Deployment: ONNX/TensorRT, quantization/compression, ARM/NVIDIA Jetson/DSP targets, containerized inference, MLOps in controlled/classified environments. Platform & DevSecOps: REST APIs, CI/CD for software and ML systems, SAST/DAST, Infrastructure-as-Code, cloud platforms (AWS, Azure, GCP). Domain: Familiarity with computer networking, secure system integration for mission platforms, and test/V&V support (Python/MATLAB analysis). Contributions to open-source AI/ML projects; experience deploying AI models in production, classified, or embedded environments. Understanding of computer security principles and secure software development lifecycle (SSDLC) practices. Why This Role Matters: You'll join a high-impact team solving some of the DoD's hardest problems in AI-enabled system security, building the next generation of trusted, auditable, and mission-ready AI for national defense. About DEPLOY's Client For the past 43 years, DEPLOY's client has provided industry-leading technical and engineering solutions in the fields of Defense, Energy, Space, and Environment. As a small, family-oriented business, DEPLOY"s client provides a compelling benefits package including a generous profit-sharing plan, competitive salaries, and perhaps most importantly, the opportunity to work alongside talented professionals leveraging cutting-edge technologies to solve complex and engaging problems. Why employees love working for DEPLOY's client DEPLOY"s client is committed to creating a company that is known for its respect and care for employees. We understand that happy employees are what keeps our business going and we strive to provide the best opportunities for each individual working on our team! Here are a few reasons you will love working here: Competitive health, dental and vision insurance with affordable premiums Flexible work schedules Two different flexible spending account options Company paid life insurance with options for employee paid additional Performance bonus program Education reimbursement program Company paid personal leave for approved philanthropic activities Vacation, Sick & Holiday leave Robust 401k profit sharing plan Opportunities for internal promotions Employee referral incentive program Rewards and gifts for service anniversaries Disability Accommodation for Applicants - DEPLOY's client is an Equal Employment Opportunity employer and provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in its job application procedures.

Job Description Job Description Manufacturing Innovation Advanced Technology Engineer Georgetown, Kentucky On-Site Contract Opportunity $50-$55 per Hour Position Highlights Full-time hours On-site position in Georgetown, KY Long-term contract opportunity PTO Paid holidays Competitive pay and benefits Benefits begin Day 1 Position Summary We are seeking a highly skilled Manufacturing Innovation Advanced Technology Engineer to support the development and deployment of advanced AI and computer vision technologies within high-volume manufacturing environments. This role will focus on developing production-grade machine learning models for industrial vision inspection systems, accelerating model training, optimizing AI solutions for edge hardware, and integrating vision systems with manufacturing equipment and industrial networks. Reporting to the Manufacturing Innovation Manager, this position will support the Production Engineering Division and SOAR Group's efforts to improve manufacturing competitiveness through innovative technology solutions. The ideal candidate will have strong experience in industrial machine vision, edge AI, machine learning, and manufacturing technology, along with the ability to take projects from concept through production launch. Key Responsibilities Model Development & Training Design and implement computer vision models for defect detection, segmentation, and classification Accelerate training cycles using synthetic data, active learning, and domain randomization to address rare defects and specification variance Develop and deploy production-grade machine learning models for industrial vision inspection systems across manufacturing lines Utilize synthetic data pipelines and augmentation techniques to improve model robustness and reduce training time Manage the full model lifecycle, including data collection, labeling, validation, rollout, monitoring, and retraining Production Deployment Package models and services using Docker and manage deployments through Kubernetes or equivalent orchestration tools Implement version control, rollback strategies, and observability for latency, model drift, and false-positive/false-negative metrics Deliver containerized software optimized for production and edge environments Edge Optimization Optimize inference for edge and embedded hardware, including NVIDIA Jetson and Intel accelerators Ensure AI solutions meet strict real-time latency requirements for moving-line inspection Ensure consistent system performance under varying lighting, optics, and surface conditions Utilize technologies such as ONNX Runtime and TensorRT to optimize models for embedded hardware Integration with Manufacturing Systems Integrate vision systems with PLCs, encoders, triggers, and industrial networks Utilize industrial communication protocols including OPC-UA, MQTT, and REST Align technology deployments with Toyota's ICS+, GALC, and TVIP architecture standards for plant-level connectivity and reliability Collaborate with automation, IT, engineering, and manufacturing teams to ensure robust integration of AI solutions Data Strategy & Quality Control Lead data collection campaigns and manage annotation workflows Establish quality gates for model validation and production readiness Monitor inspection accuracy and balance false-positive rates against flow-out risk Implement drift detection and audit false-out risks Perform root cause analysis for inspection failures and develop corrective actions Reliability & Sustainment Ensure uptime and availability targets are met through proactive monitoring and system maintenance Support calibration and measurement system analysis (MSA) Establish and maintain backup and restore processes Monitor production performance and continuously improve system reliability Manufacturing Innovation & Project Management Develop new technologies focused on Production Engineering and manufacturing competitiveness Lead projects from concept through launch for the first introduction of new technologies into manufacturing Create project schedules, establish punch lists, and manage established due dates and milestones Develop detailed scopes of work and manage vendors and contractors Provide regular project status updates to leadership and stakeholders Research innovative technology solutions and conduct trials in manufacturing environments Develop business case justifications and recommendations for technology purchases when trials demonstrate successful results Collaborate with internal and external teams across Toyota, including North American Manufacturing Centers (NAMCs), Toyota Motor Corp. (TMC), Toyota Technical Center (TTC), Production Engineering support shops, IT/One Tech teams, automation teams, and Plano divisions Support the successful integration of robust AI solutions into high-volume manufacturing environments Qualifications Bachelor's degree in Electrical Engineering, Mechanical Engineering, Computer Science, Information Technology, or a related field 5+ years of experience in industrial machine vision and edge AI deployment Proficiency in Python and C++ Strong knowledge of machine learning frameworks such as PyTorch and TensorFlow Hands-on experience with Docker and Kubernetes Experience with ONNX Runtime, TensorRT, and optimization for embedded hardware Experience integrating vision systems with PLCs and industrial communication protocols such as OPC-UA and MQTT Experience managing the complete machine learning model lifecycle, including data collection, labeling, validation, deployment, monitoring, and retraining Experience with object detection, classification, and segmentation Familiarity with mainstream object detection and semantic/instance segmentation models Experience with industrial cameras, lighting, optics, and trigger-based image capture Understanding of inspection accuracy and the balance between false positives and flow-out risk Experience with project management, including developing scopes of work, creating schedules, managing vendors/contractors, and providing project status updates Ability to travel to North American Manufacturing Centers (NAMCs), including Canada and Mexico, as well as Toyota Motor Corp. (TMC) in Japan This is an exciting opportunity to help introduce emerging AI and computer vision technologies into manufacturing and directly contribute to improving manufacturing competitiveness. Equal Employment Opportunity Commission (EEOC) Statement Reliance One, Inc. is an Equal Opportunity Employer. We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any kind, without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable federal, state, or local laws.