Arrow Electronics is seeking a Design for Test Engineer IV to drive advanced DFT strategy across complex electronic designs in our Engineering & Design organization. You will architect and implement scan, BIST, and boundary scan solutions, optimize test coverage and pattern quality, and collaborate closely with design, verification, and product engineering teams. In this performance-driven, innovative, and collaborative environment, you'll mentor junior engineers, influence DFT flows and standards, and help ensure high-quality, high-yield products for global industrial and commercial customers. Responsibilities Architect and implement DFT strategies (scan, BIST, boundary scan) for complex So Cs/ASICs and electronic systems. Develop and integrate ATPG patterns, analyze coverage, and drive improvements in test quality and manufacturability. Collaborate with design, verification, and product engineering teams to ensure DFT requirements are integrated from early design stages. Own DFT insertion, verification, and sign-off flows using industry-standard EDA tools. Debug silicon and test issues, perform root-cause analysis, and drive corrective actions to improve yield and reliability. Define and maintain DFT methodologies, standards, and best practices across the Engineering & Design organization. Mentor and technically guide junior engineers on DFT concepts, tools, and flows. Support test engineering and manufacturing teams in ramping new products to volume production. Document DFT architectures, test plans, and results for internal and external stakeholders. Contribute to continuous improvement initiatives, tool evaluations, and automation to enhance DFT efficiency and coverage. Required Skills Design for Testability (DFT) architecture Scan insertion and compression Built-In Self-Test (BIST) for logic and memory Boundary scan / JTAG (IEEE 1149.1/1500/1687) ATPG and fault simulation Digital IC/So C/ASIC design fundamentals Scripting (Tcl, Python, or Perl) for EDA automation Static timing and constraints awareness for DFTSilicon bring-up and production test debug DFT tool expertise (Synopsys, Siemens Tessent, Cadence, etc.)
09/12/2026
Full time
Arrow Electronics is seeking a Design for Test Engineer IV to drive advanced DFT strategy across complex electronic designs in our Engineering & Design organization. You will architect and implement scan, BIST, and boundary scan solutions, optimize test coverage and pattern quality, and collaborate closely with design, verification, and product engineering teams. In this performance-driven, innovative, and collaborative environment, you'll mentor junior engineers, influence DFT flows and standards, and help ensure high-quality, high-yield products for global industrial and commercial customers. Responsibilities Architect and implement DFT strategies (scan, BIST, boundary scan) for complex So Cs/ASICs and electronic systems. Develop and integrate ATPG patterns, analyze coverage, and drive improvements in test quality and manufacturability. Collaborate with design, verification, and product engineering teams to ensure DFT requirements are integrated from early design stages. Own DFT insertion, verification, and sign-off flows using industry-standard EDA tools. Debug silicon and test issues, perform root-cause analysis, and drive corrective actions to improve yield and reliability. Define and maintain DFT methodologies, standards, and best practices across the Engineering & Design organization. Mentor and technically guide junior engineers on DFT concepts, tools, and flows. Support test engineering and manufacturing teams in ramping new products to volume production. Document DFT architectures, test plans, and results for internal and external stakeholders. Contribute to continuous improvement initiatives, tool evaluations, and automation to enhance DFT efficiency and coverage. Required Skills Design for Testability (DFT) architecture Scan insertion and compression Built-In Self-Test (BIST) for logic and memory Boundary scan / JTAG (IEEE 1149.1/1500/1687) ATPG and fault simulation Digital IC/So C/ASIC design fundamentals Scripting (Tcl, Python, or Perl) for EDA automation Static timing and constraints awareness for DFTSilicon bring-up and production test debug DFT tool expertise (Synopsys, Siemens Tessent, Cadence, etc.)
BD Director for USG Markets Apex manufactures satellite buses at scale using a combination of software, vertical integration, and hardware that is designed for manufacturing. Our spacecraft enable the future of society: ranging from earth observation to communications and more. We'd love for you to join us on our mission of providing humankind access to the galaxy beyond our planet. Responsibilities: Identify, qualify, and close new business opportunities in the US Government market, prioritizing USG prime contractors. Own end-to-end deal execution from lead identification through contract signature. Develop account strategies and win plans for all pursuits. Develop and maintain a strong, healthy pipeline of qualified opportunities; ensure forecasting accuracy and CRM hygiene. Build strong, trust-based relationships across customer working, management, and executive levels. Travel to represent Apex at industry events, trade shows, and customer meetings to drive awareness and build relationships. Provide market and customer feedback to inform product roadmap, pricing strategy, and competitive positioning. Requirements: Proven track record (5+ years) in a business development or sales role with experience in US Government space markets. Experience in a quota-carrying or otherwise high-pressure position. Experience developing and executing account and deal strategies to manage and close enterprise transactions with multiple stakeholders. Deep understanding of the satellite market landscape, including customer funding processes, acquisition models, and prime/subcontractor dynamics. Comfortable operating in a fast-paced, dynamic startup environment. U.S. Person status is required as this position needs to access export controlled data. Nice-to-Haves Technical background (e.g. aerospace engineering, systems engineering, or related) enabling deeper engagement with customer mission needs and Apex's technical offerings. Our compensation structure for this role includes competitive base salary, generous equity (ISOs), and commission. The range for this role is $175,000.00 - $600,000.00 in total compensation. What We Offer For Full-time Employees: Receive equity in Apex, letting you benefit from the work you create 100% company-paid medical, dental, and vision for you and your dependents, plus $100k life insurance at no cost Starting at 15 days vacation, growing to 20+ days annually, plus 10 paid holidays 100% match on first 3%, 50% on next 2% of 401(k) contributions 8 weeks paid parental leave plus childcare reimbursement up to $350/day for work-related travel Daily catered lunch and unlimited snacks to keep you fueled throughout the day Monthly office socials, pickleball tournaments, run club, and gatherings for you and your family Your dream desk setup and all the tools you need to be your most productive self World-class Playa Vista office with the benefit of in-person collaboration with amazing coworkers and flexibility to integrate work and life Work alongside experts from aerospace, new space, and other cutting-edge industries to make a lasting difference Apex Technology, Inc. is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance.
09/12/2026
Full time
BD Director for USG Markets Apex manufactures satellite buses at scale using a combination of software, vertical integration, and hardware that is designed for manufacturing. Our spacecraft enable the future of society: ranging from earth observation to communications and more. We'd love for you to join us on our mission of providing humankind access to the galaxy beyond our planet. Responsibilities: Identify, qualify, and close new business opportunities in the US Government market, prioritizing USG prime contractors. Own end-to-end deal execution from lead identification through contract signature. Develop account strategies and win plans for all pursuits. Develop and maintain a strong, healthy pipeline of qualified opportunities; ensure forecasting accuracy and CRM hygiene. Build strong, trust-based relationships across customer working, management, and executive levels. Travel to represent Apex at industry events, trade shows, and customer meetings to drive awareness and build relationships. Provide market and customer feedback to inform product roadmap, pricing strategy, and competitive positioning. Requirements: Proven track record (5+ years) in a business development or sales role with experience in US Government space markets. Experience in a quota-carrying or otherwise high-pressure position. Experience developing and executing account and deal strategies to manage and close enterprise transactions with multiple stakeholders. Deep understanding of the satellite market landscape, including customer funding processes, acquisition models, and prime/subcontractor dynamics. Comfortable operating in a fast-paced, dynamic startup environment. U.S. Person status is required as this position needs to access export controlled data. Nice-to-Haves Technical background (e.g. aerospace engineering, systems engineering, or related) enabling deeper engagement with customer mission needs and Apex's technical offerings. Our compensation structure for this role includes competitive base salary, generous equity (ISOs), and commission. The range for this role is $175,000.00 - $600,000.00 in total compensation. What We Offer For Full-time Employees: Receive equity in Apex, letting you benefit from the work you create 100% company-paid medical, dental, and vision for you and your dependents, plus $100k life insurance at no cost Starting at 15 days vacation, growing to 20+ days annually, plus 10 paid holidays 100% match on first 3%, 50% on next 2% of 401(k) contributions 8 weeks paid parental leave plus childcare reimbursement up to $350/day for work-related travel Daily catered lunch and unlimited snacks to keep you fueled throughout the day Monthly office socials, pickleball tournaments, run club, and gatherings for you and your family Your dream desk setup and all the tools you need to be your most productive self World-class Playa Vista office with the benefit of in-person collaboration with amazing coworkers and flexibility to integrate work and life Work alongside experts from aerospace, new space, and other cutting-edge industries to make a lasting difference Apex Technology, Inc. is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance.
Zillow is hiring an Agentic AI Principal Machine Learning Engineer to lead design and deployment of advanced ML systems that power home search, recommendations, and decision tools for millions of users. You'll architect agentic AI and LLM-driven solutions, owning the full ML lifecycle from data pipelines and feature engineering to training, evaluation, and scalable productionization in the cloud. Partnering closely with product, data, and engineering teams, you'll shape Zillow's AI strategy, mentor other engineers, and champion experimentation, inclusion, and data-driven decisions in a flexible, collaborative environment. Responsibilities Design and implement large-scale agentic AI and machine learning systems for Zillow's real estate and rental products. Lead end-to-end ML lifecycle from data exploration and feature engineering to model training, evaluation, and deployment. Collaborate with product, engineering, and data teams to define requirements and translate business problems into ML solutions. Build and optimize LLM- and agent-based workflows for personalization, recommendations, and decision support. Ensure robustness, fairness, and reliability of models through monitoring, experimentation, and continuous improvement. Mentor engineers and data scientists, establishing best practices for ML architecture, MLOps, and coding standards. Partner with stakeholders to define technical roadmaps and influence Zillow's AI strategy. Contribute to a culture of experimentation, learning, and inclusion within the AI/ML organization. Required Skills Python Machine Learning Deep Learning Reinforcement Learning LLM Development MLOps Cloud Computing (AWS/GCP/Azure) Data Engineering Experimentation & A/B Testing Model Evaluation & Monitoring
09/12/2026
Full time
Zillow is hiring an Agentic AI Principal Machine Learning Engineer to lead design and deployment of advanced ML systems that power home search, recommendations, and decision tools for millions of users. You'll architect agentic AI and LLM-driven solutions, owning the full ML lifecycle from data pipelines and feature engineering to training, evaluation, and scalable productionization in the cloud. Partnering closely with product, data, and engineering teams, you'll shape Zillow's AI strategy, mentor other engineers, and champion experimentation, inclusion, and data-driven decisions in a flexible, collaborative environment. Responsibilities Design and implement large-scale agentic AI and machine learning systems for Zillow's real estate and rental products. Lead end-to-end ML lifecycle from data exploration and feature engineering to model training, evaluation, and deployment. Collaborate with product, engineering, and data teams to define requirements and translate business problems into ML solutions. Build and optimize LLM- and agent-based workflows for personalization, recommendations, and decision support. Ensure robustness, fairness, and reliability of models through monitoring, experimentation, and continuous improvement. Mentor engineers and data scientists, establishing best practices for ML architecture, MLOps, and coding standards. Partner with stakeholders to define technical roadmaps and influence Zillow's AI strategy. Contribute to a culture of experimentation, learning, and inclusion within the AI/ML organization. Required Skills Python Machine Learning Deep Learning Reinforcement Learning LLM Development MLOps Cloud Computing (AWS/GCP/Azure) Data Engineering Experimentation & A/B Testing Model Evaluation & Monitoring
National Radio Astronomy Observatory
Socorro, New Mexico
The National Radio Astronomy Observatory (NRAO) seeks a Software Engineer II-III to develop and maintain software that powers world-class radio telescopes. In this role, you will design, implement, and optimize scientific and telecommunications software for data acquisition, processing, and analysis. You will collaborate closely with astronomers and engineers in a mission-driven, research-focused environment that values curiosity, precision, and innovation. This hybrid position offers access to cutting-edge technology, opportunities for continuous learning, and meaningful contributions to groundbreaking astronomical discovery. Responsibilities Design, develop, and maintain scientific and telecommunications software supporting radio astronomy instruments and data pipelines Collaborate with astronomers, engineers, and data scientists to translate research and operational requirements into robust software solutions Implement, test, and optimize high performance, scalable code for data acquisition, processing, and analysis systems Contribute to code reviews, documentation, configuration management, and continuous integration workflows Troubleshoot, debug, and improve existing applications to enhance reliability, performance, and usability Support deployment and operations in Linux-based environments, ensuring software quality and observatory uptime Required Skills Python C++Java Linux development Distributed systems High-performance computing Scientific computing Data pipelines/ETLVersion control (Git) CI/CD tools
09/12/2026
Full time
The National Radio Astronomy Observatory (NRAO) seeks a Software Engineer II-III to develop and maintain software that powers world-class radio telescopes. In this role, you will design, implement, and optimize scientific and telecommunications software for data acquisition, processing, and analysis. You will collaborate closely with astronomers and engineers in a mission-driven, research-focused environment that values curiosity, precision, and innovation. This hybrid position offers access to cutting-edge technology, opportunities for continuous learning, and meaningful contributions to groundbreaking astronomical discovery. Responsibilities Design, develop, and maintain scientific and telecommunications software supporting radio astronomy instruments and data pipelines Collaborate with astronomers, engineers, and data scientists to translate research and operational requirements into robust software solutions Implement, test, and optimize high performance, scalable code for data acquisition, processing, and analysis systems Contribute to code reviews, documentation, configuration management, and continuous integration workflows Troubleshoot, debug, and improve existing applications to enhance reliability, performance, and usability Support deployment and operations in Linux-based environments, ensuring software quality and observatory uptime Required Skills Python C++Java Linux development Distributed systems High-performance computing Scientific computing Data pipelines/ETLVersion control (Git) CI/CD tools
Arrow Electronics is seeking an Embedded Network Engineer to design, develop, and optimize embedded networking solutions for industrial and wholesale trade applications. You will architect firmware and software for networked devices, integrate communication protocols (TCP/IP, Ethernet, CAN, Modbus, MQTT), and ensure secure, reliable data exchange across complex systems. Partner with product, hardware, and solution engineering teams to debug, test, and deploy scalable solutions. You'll support customers and internal teams, contribute to design reviews, and drive continuous improvement in performance, security, and interoperability across global projects. Responsibilities Design and implement embedded networking firmware and software for industrial and wholesale trade applications. Integrate and optimize network protocols such as TCP/IP, Ethernet, CAN, Modbus, and MQTT on embedded platforms. Collaborate with hardware, product, and solutions teams to define requirements and architect system-level designs. Debug, test, and validate embedded network components using lab equipment and structured test plans. Implement and support security best practices for networked embedded devices. Support customers and internal stakeholders with technical troubleshooting and integration guidance. Contribute to design reviews, documentation, and coding standards for embedded networking projects. Continuously improve performance, reliability, and scalability of existing embedded networking solutions. Required Skills Embedded C/C++RTOS development TCP/IP networking Ethernet and switching Network protocols (CAN, Modbus, MQTT) Embedded Linux Debugging with JTAG/logic analyzers Network security for embedded systems Version control (Git) Hardware-software integration
09/12/2026
Full time
Arrow Electronics is seeking an Embedded Network Engineer to design, develop, and optimize embedded networking solutions for industrial and wholesale trade applications. You will architect firmware and software for networked devices, integrate communication protocols (TCP/IP, Ethernet, CAN, Modbus, MQTT), and ensure secure, reliable data exchange across complex systems. Partner with product, hardware, and solution engineering teams to debug, test, and deploy scalable solutions. You'll support customers and internal teams, contribute to design reviews, and drive continuous improvement in performance, security, and interoperability across global projects. Responsibilities Design and implement embedded networking firmware and software for industrial and wholesale trade applications. Integrate and optimize network protocols such as TCP/IP, Ethernet, CAN, Modbus, and MQTT on embedded platforms. Collaborate with hardware, product, and solutions teams to define requirements and architect system-level designs. Debug, test, and validate embedded network components using lab equipment and structured test plans. Implement and support security best practices for networked embedded devices. Support customers and internal stakeholders with technical troubleshooting and integration guidance. Contribute to design reviews, documentation, and coding standards for embedded networking projects. Continuously improve performance, reliability, and scalability of existing embedded networking solutions. Required Skills Embedded C/C++RTOS development TCP/IP networking Ethernet and switching Network protocols (CAN, Modbus, MQTT) Embedded Linux Debugging with JTAG/logic analyzers Network security for embedded systems Version control (Git) Hardware-software integration
Arrow Electronics seeks a Design For Test Engineer III to develop and optimize DFT strategies for complex electronic systems supporting global wholesale technology customers. You will define test architectures, perform testability analysis, implement scan and boundary-scan structures, and drive high fault coverage for digital designs. Partner with design, validation, and manufacturing teams to streamline test flows, improve yield, and reduce time-to-market. In Arrow's performance-driven, collaborative culture, you'll work with cutting-edge technologies, support diverse industries, and grow your expertise through continuous learning and cross-functional projects. Responsibilities Develop and implement DFT architectures for complex digital and mixed-signal designs Perform testability analysis and drive improvements in fault coverage and diagnosability Implement and validate scan, boundary-scan, and built-in self-test structures Collaborate with design, validation, and manufacturing teams to integrate and optimize test strategies Support test program development and debug for production and prototype hardware Analyze test results, identify root causes, and recommend design or process improvements Document test methodologies, coverage metrics, and best practices for reuse across projects Required Skills Design for Test (DFT) methodologies Scan insertion and ATPGBoundary scan/JTAGHardware verification and validation Digital circuit design Test plan development Fault coverage analysis Scripting (Python/TCL/Perl) Automated test equipment (ATE) concepts Version control and CI/CD tools
09/12/2026
Full time
Arrow Electronics seeks a Design For Test Engineer III to develop and optimize DFT strategies for complex electronic systems supporting global wholesale technology customers. You will define test architectures, perform testability analysis, implement scan and boundary-scan structures, and drive high fault coverage for digital designs. Partner with design, validation, and manufacturing teams to streamline test flows, improve yield, and reduce time-to-market. In Arrow's performance-driven, collaborative culture, you'll work with cutting-edge technologies, support diverse industries, and grow your expertise through continuous learning and cross-functional projects. Responsibilities Develop and implement DFT architectures for complex digital and mixed-signal designs Perform testability analysis and drive improvements in fault coverage and diagnosability Implement and validate scan, boundary-scan, and built-in self-test structures Collaborate with design, validation, and manufacturing teams to integrate and optimize test strategies Support test program development and debug for production and prototype hardware Analyze test results, identify root causes, and recommend design or process improvements Document test methodologies, coverage metrics, and best practices for reuse across projects Required Skills Design for Test (DFT) methodologies Scan insertion and ATPGBoundary scan/JTAGHardware verification and validation Digital circuit design Test plan development Fault coverage analysis Scripting (Python/TCL/Perl) Automated test equipment (ATE) concepts Version control and CI/CD tools
Arrow Electronics is seeking a Design For Test Engineer IV to develop and optimize DFT strategies for complex electronic systems in our wholesale technology business. You will architect and implement scan, BIST, and boundary-scan structures, create test plans, and drive test coverage across product lifecycles. Collaborating with design, manufacturing, and quality teams, you'll analyze yield data, debug failures, and improve testability and reliability. This role suits an experienced engineer passionate about innovation, automation, and delivering high-quality, manufacturable designs at global scale. Responsibilities Define and implement DFT strategies for complex electronic products and systems. Integrate scan, BIST, and boundary-scan structures into ASIC/FPGA and board-level designs. Develop test plans, patterns, and coverage metrics to ensure product quality and manufacturability. Collaborate with design, manufacturing, and quality teams to resolve test and yield issues. Analyze production and characterization data to improve test efficiency and product reliability. Automate test flows, pattern generation, and data analysis with scripting tools. Participate in design reviews, providing DFT requirements and feedback to cross-functional teams. Document DFT methods, test procedures, and best practices for global engineering teams.' ,'pay_type':'Yearly Salary','pay_frequency':'Yearly JSON structure. But ensure valid. Let's correct. We'll output proper JSON. Let's go. Final Answer: JSON. Let's answer. Sure. Let's answer. JSON. Let's output. json. Wait. Stop. We'll just output. JSON now. json. We'll output. JSON. json. We'll output final. JSON. json. Done. JSON. json. End. JSON. json. Yes. JSON. json. That's it. JSON. json. Done. JSON. json. End. JSON. json. Sure. JSON. json. End now. JSON. json. Final. JSON. json. End. JSON. json. Done. JSON. json. End. JSON. json. Stop. JSON. json. End. JSON. json. Final. JSON. JSON. json. End. JSON. json. Final. JSON. json. End. JSON. json. Final now. JSON. json. End. JSON. json. Final. JSON. json. End. JSON. json. Final. JSON. json. End. JSON. json. Final. JSON. json. End. JSON. json. Final. JSON. json. End. JSON. json. Final answer. JSON. json. End. JSON. json. Final. JSON. json. End. JSON. JSON. json. End. JSON. json. Final. JSON. json. End. JSON. json. Final. JSON. json. End. JSON. json. Final. JSON. json. End. JSON. json. Final. JSON. json. End now for real. JSON. json. End. JSON. json. Final. JSON. json. End. JSON. json. Final. JSON. json. End. JSON. json. Final. JSON. json. End. Required Skills Design for Test (DFT) architecture Scan insertion and ATPGBoundary-scan (JTAG IEEE 1149.x) Built-In Self-Test (BIST) design Digital/ASIC/FPGA design Hardware debug and failure analysis Test pattern development and validation Scripting (Python/TCL/Perl) for automation Statistical yield and test data analysis Electronic design CAD/EDA tools (Synopsys/Cadence/Mentor)
09/12/2026
Full time
Arrow Electronics is seeking a Design For Test Engineer IV to develop and optimize DFT strategies for complex electronic systems in our wholesale technology business. You will architect and implement scan, BIST, and boundary-scan structures, create test plans, and drive test coverage across product lifecycles. Collaborating with design, manufacturing, and quality teams, you'll analyze yield data, debug failures, and improve testability and reliability. This role suits an experienced engineer passionate about innovation, automation, and delivering high-quality, manufacturable designs at global scale. Responsibilities Define and implement DFT strategies for complex electronic products and systems. Integrate scan, BIST, and boundary-scan structures into ASIC/FPGA and board-level designs. Develop test plans, patterns, and coverage metrics to ensure product quality and manufacturability. Collaborate with design, manufacturing, and quality teams to resolve test and yield issues. Analyze production and characterization data to improve test efficiency and product reliability. Automate test flows, pattern generation, and data analysis with scripting tools. Participate in design reviews, providing DFT requirements and feedback to cross-functional teams. Document DFT methods, test procedures, and best practices for global engineering teams.' ,'pay_type':'Yearly Salary','pay_frequency':'Yearly JSON structure. But ensure valid. Let's correct. We'll output proper JSON. Let's go. Final Answer: JSON. Let's answer. Sure. Let's answer. JSON. Let's output. json. Wait. Stop. We'll just output. JSON now. json. We'll output. JSON. json. We'll output final. JSON. json. Done. JSON. json. End. JSON. json. Yes. JSON. json. That's it. JSON. json. Done. JSON. json. End. JSON. json. Sure. JSON. json. End now. JSON. json. Final. JSON. json. End. JSON. json. Done. JSON. json. End. JSON. json. Stop. JSON. json. End. JSON. json. Final. JSON. JSON. json. End. JSON. json. Final. JSON. json. End. JSON. json. Final now. JSON. json. End. JSON. json. Final. JSON. json. End. JSON. json. Final. JSON. json. End. JSON. json. Final. JSON. json. End. JSON. json. Final. JSON. json. End. JSON. json. Final answer. JSON. json. End. JSON. json. Final. JSON. json. End. JSON. JSON. json. End. JSON. json. Final. JSON. json. End. JSON. json. Final. JSON. json. End. JSON. json. Final. JSON. json. End. JSON. json. Final. JSON. json. End now for real. JSON. json. End. JSON. json. Final. JSON. json. End. JSON. json. Final. JSON. json. End. JSON. json. Final. JSON. json. End. Required Skills Design for Test (DFT) architecture Scan insertion and ATPGBoundary-scan (JTAG IEEE 1149.x) Built-In Self-Test (BIST) design Digital/ASIC/FPGA design Hardware debug and failure analysis Test pattern development and validation Scripting (Python/TCL/Perl) for automation Statistical yield and test data analysis Electronic design CAD/EDA tools (Synopsys/Cadence/Mentor)
Arrow Electronics is seeking a Hardware Engineer to design and optimize electronic hardware solutions for industrial and commercial customers in the wholesale technology sector. You will develop schematics, guide PCB layout, run simulations, and perform validation and debugging to ensure performance, reliability, and compliance with industry standards. Collaborating with cross-functional teams, you'll support product definition, rapid prototyping, and design reviews while contributing to continuous improvement, documentation, and knowledge sharing across a global engineering organization. Responsibilities Design and develop electronic hardware for industrial and commercial applications Create schematics and guide PCB layout to meet performance and reliability targets Run simulations and perform hardware validation, testing, and debugging Ensure designs comply with relevant industry and safety standards Collaborate with cross-functional teams on product definition and architecture Support prototyping, bring-up, and design reviews with internal and external partners Document design decisions, test plans, and results thoroughly Contribute to continuous improvement of hardware design processes and tools Required Skills Hardware design PCB layout Circuit simulation Embedded systems fundamentals Signal integrity analysis Analog and digital electronics Testing and validation Schematic capture Hardware debugging Documentation and compliance
09/12/2026
Full time
Arrow Electronics is seeking a Hardware Engineer to design and optimize electronic hardware solutions for industrial and commercial customers in the wholesale technology sector. You will develop schematics, guide PCB layout, run simulations, and perform validation and debugging to ensure performance, reliability, and compliance with industry standards. Collaborating with cross-functional teams, you'll support product definition, rapid prototyping, and design reviews while contributing to continuous improvement, documentation, and knowledge sharing across a global engineering organization. Responsibilities Design and develop electronic hardware for industrial and commercial applications Create schematics and guide PCB layout to meet performance and reliability targets Run simulations and perform hardware validation, testing, and debugging Ensure designs comply with relevant industry and safety standards Collaborate with cross-functional teams on product definition and architecture Support prototyping, bring-up, and design reviews with internal and external partners Document design decisions, test plans, and results thoroughly Contribute to continuous improvement of hardware design processes and tools Required Skills Hardware design PCB layout Circuit simulation Embedded systems fundamentals Signal integrity analysis Analog and digital electronics Testing and validation Schematic capture Hardware debugging Documentation and compliance
RELOCATION ASSISTANCE: No relocation assistance available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. As one of the largest global security companies in the world, Northrop Grumman is proud to help our nation's military personnel navigate their next chapter into civilian careers. Approximately 20% of Northrop Grumman's 100,000 employees self-identify as veterans, and more than 2,000 are reservists. The Northrop Grumman SkillBridge Program is an approved SkillBridge Program under Dept. of Defense Instruction 1322.29. The program is an opportunity for service members preparing for civilian careers to gain valuable civilian work experience during their last 6 months of service, for up to 180 days. The SkillBridge Program is open to all ranks and experience levels. SkillBridge participants are not eligible for compensation from Northrop Grumman, as they continue to receive military compensation and benefits as active-duty service members. Responsibilities for SkillBridge Program participation are: Northrop Grumman Corporation (NGC) has developed the Northrop Grumman - SkillBridge Program (SkillBridge) utilizing the DoDI guidance for SkillBridge. Through this program, the service-member will work on site with their host company, gaining experience in an entry to mid-level career path. The service member will be on the job training supporting a work schedule equivalent to 40hrs per week. Outlined below are the Goals, Objectives, and Outcomes for the program. Goals - Provide separating service-members with job skills training in a professional setting during the final phase of their military service. This program is specifically designed to offer hands-on experience that result in the potential to convert to a full-time opportunity as the conclusion of the training. Participants will serve as a pipeline for high-speed, motivated military candidates into NGC. Objectives - Service Members who complete the SkillBridge program will be highly trained, capable, future employees that align to the specific needs of the organization and are prepared to meet the NG mission "Defining Possible" on Day 1. This program provides comprehensive hands-on experience including professional development, networking with leadership, and training specifically focused on NG leadership principles, company history, customer/stakeholder engagement, product and service overview, and core job responsibilities. Outcome - Offer service-members preparing for civilian careers a rewarding opportunity to join the Northrop Grumman team. SkillBridge Eligibility: Has served at least 180 days on active duty Is within 12 months of separation or retirement Will receive an honorable discharge Has taken any service TAPS/TGPS Has attended or participated in an ethics brief within the last 12 months Received Unit Commander (first O-4/Field Grade commander in chain of command) written authorization and approval to participate in SkillBridge Program prior to start of internship. Before Applying: IMPORTANT - Complete the SkillBridge prescreening questions online Northrop Grumman Mission System's Engineering and Sciences (E&S) Baltimore and Partnered Sites (BaPs) Division is seeking a Skillbridge Principal Radar Modeling Simulation & Analysis Systems Engineer or Senior Principal Radar Modeling Simulation & Analysis Systems Engineer to join our team of qualified and diverse individuals. This position will be in Baltimore, MD, and is a full time on site role. What You'll get to Do: As an integral part of our Foundational Systems Engineering department located in Linthicum, MD you will focus on accelerating the delivery of capabilities to our customers through the development and use of advanced models and simulations of platforms, sensors, weapons, and their interactions with the environment. Utilize Modeling, Simulation, Experimentation, and Analysis (MSE&A) of advanced systems using C++ object-oriented design, advanced data structures and test-driven development. Develop large scale data analytics, probabilities, and statistics, including the application of design of experiment techniques for the evaluation of system and mission performance. Integrate MS&A with operational flight software, collecting and analyzing data from laboratory or flight tests, the verification and validation of simulation performance against flight test data, and formally verifying that the models meet specified requirements. Produce publication quality reports which define the foundation for simulation credibility across all stakeholders and provide the artifacts to support formal simulation Verification, Validation and Accreditation (VVA). Innovate to solve problems and identify improvements across MSE&A products. Performs operational analysis and mission effectiveness analysis. Develops new and/or integrates existing system simulation frameworks, performance models and algorithms, threat models and command and control models. Models operational environments, performs trade studies via computer simulation and recommends alternative architectures. Simulates real-time operations and develops software that simulates behavior of systems. Develops, integrates, and uses advanced graphical user interfaces and visualization tools. This requisition may be filled as a Principal Radar Modeling, Simulation & Analysis Systems Engineer or a Senior Principal Radar Modeling, Simulation & Analysis Systems Engineer. This position is contingent upon contract award, successful transfer of an active U.S Government Secret Clearance and the ability to obtain Special Program Access (SAP). Basic Qualifications for Skillbridge Principal Radar Modeling, Simulation & Analysis Systems Engineer: Bachelor's Degree with 5 years of experience, Master's degree with 3 years of experience, Ph.D. with 1 years of experience in Electrical Engineering, Computer Engineering, Computer Science or related technical fields; an additional 4 years of experience may be considered in lieu of a degree. U.S. Citizenship is required. A current/active U.S Government Secret clearance. Ability to obtain/maintain Special Access Program (SAP) access. Experience with programming languages such as C/C++, Python, Bash or C shell scripting on the Linux and Windows computing environments. Experience with domain experience in simulations of RF, EOIR, Communications or related systems. Experience working with digital signal processing and complex valued signal data. Experience with analytical modeling approaches using MATLAB environment. Basic Qualifications for Skillbridge Senior Principal Radar Modeling, Simulation & Analysis Systems Engineer: Bachelor's Degree with 8 years of experience, Master's degree with 6 years of experience, Ph.D. with 4 years of experience in Electrical Engineering, Computer Engineering, Computer Science or related technical fields; an additional 4 years of experience may be considered in lieu of a degree. U.S. Citizenship is required. A current/active U.S Government Secret clearance. Ability to obtain/maintain Special Access Program (SAP) access. Experience with programming languages such as C/C++, Python, Bash or C shell scripting on the Linux and Windows computing environments. Experience with domain experience in simulations of RF, EOIR, Communications or related systems. Experience working with digital signal processing and complex valued signal data. Experience with analytical modeling approaches using MATLAB environment. Preferred Qualifications: Active U.S Government Top Secret Clearance or higher. Advanced degrees in Engineering, Computer Science, Applied Physics, Applied Mathematics, or a related technical field. Experience with Modeling, Experimentation, Simulation, and Analysis. Experience with real-time and/or reactive simulation software applications development. Experience with one or more of the following: statistics, design of experiments, descriptive/diagnostic/predictive/prescriptive analytics, high performance computing. Experience developing and validating radar modes. Experience with adaptive signal processing. Experience with optimal estimation theory. Understanding of the Systems Engineering and Integration & Test processes. Experience with DPC, CUDA, OpenCL, Verilog, VHDL, or other domain specific languages. Experience with Agile and/or SAFe methodologies. . click apply for full job details
09/12/2026
Full time
RELOCATION ASSISTANCE: No relocation assistance available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. As one of the largest global security companies in the world, Northrop Grumman is proud to help our nation's military personnel navigate their next chapter into civilian careers. Approximately 20% of Northrop Grumman's 100,000 employees self-identify as veterans, and more than 2,000 are reservists. The Northrop Grumman SkillBridge Program is an approved SkillBridge Program under Dept. of Defense Instruction 1322.29. The program is an opportunity for service members preparing for civilian careers to gain valuable civilian work experience during their last 6 months of service, for up to 180 days. The SkillBridge Program is open to all ranks and experience levels. SkillBridge participants are not eligible for compensation from Northrop Grumman, as they continue to receive military compensation and benefits as active-duty service members. Responsibilities for SkillBridge Program participation are: Northrop Grumman Corporation (NGC) has developed the Northrop Grumman - SkillBridge Program (SkillBridge) utilizing the DoDI guidance for SkillBridge. Through this program, the service-member will work on site with their host company, gaining experience in an entry to mid-level career path. The service member will be on the job training supporting a work schedule equivalent to 40hrs per week. Outlined below are the Goals, Objectives, and Outcomes for the program. Goals - Provide separating service-members with job skills training in a professional setting during the final phase of their military service. This program is specifically designed to offer hands-on experience that result in the potential to convert to a full-time opportunity as the conclusion of the training. Participants will serve as a pipeline for high-speed, motivated military candidates into NGC. Objectives - Service Members who complete the SkillBridge program will be highly trained, capable, future employees that align to the specific needs of the organization and are prepared to meet the NG mission "Defining Possible" on Day 1. This program provides comprehensive hands-on experience including professional development, networking with leadership, and training specifically focused on NG leadership principles, company history, customer/stakeholder engagement, product and service overview, and core job responsibilities. Outcome - Offer service-members preparing for civilian careers a rewarding opportunity to join the Northrop Grumman team. SkillBridge Eligibility: Has served at least 180 days on active duty Is within 12 months of separation or retirement Will receive an honorable discharge Has taken any service TAPS/TGPS Has attended or participated in an ethics brief within the last 12 months Received Unit Commander (first O-4/Field Grade commander in chain of command) written authorization and approval to participate in SkillBridge Program prior to start of internship. Before Applying: IMPORTANT - Complete the SkillBridge prescreening questions online Northrop Grumman Mission System's Engineering and Sciences (E&S) Baltimore and Partnered Sites (BaPs) Division is seeking a Skillbridge Principal Radar Modeling Simulation & Analysis Systems Engineer or Senior Principal Radar Modeling Simulation & Analysis Systems Engineer to join our team of qualified and diverse individuals. This position will be in Baltimore, MD, and is a full time on site role. What You'll get to Do: As an integral part of our Foundational Systems Engineering department located in Linthicum, MD you will focus on accelerating the delivery of capabilities to our customers through the development and use of advanced models and simulations of platforms, sensors, weapons, and their interactions with the environment. Utilize Modeling, Simulation, Experimentation, and Analysis (MSE&A) of advanced systems using C++ object-oriented design, advanced data structures and test-driven development. Develop large scale data analytics, probabilities, and statistics, including the application of design of experiment techniques for the evaluation of system and mission performance. Integrate MS&A with operational flight software, collecting and analyzing data from laboratory or flight tests, the verification and validation of simulation performance against flight test data, and formally verifying that the models meet specified requirements. Produce publication quality reports which define the foundation for simulation credibility across all stakeholders and provide the artifacts to support formal simulation Verification, Validation and Accreditation (VVA). Innovate to solve problems and identify improvements across MSE&A products. Performs operational analysis and mission effectiveness analysis. Develops new and/or integrates existing system simulation frameworks, performance models and algorithms, threat models and command and control models. Models operational environments, performs trade studies via computer simulation and recommends alternative architectures. Simulates real-time operations and develops software that simulates behavior of systems. Develops, integrates, and uses advanced graphical user interfaces and visualization tools. This requisition may be filled as a Principal Radar Modeling, Simulation & Analysis Systems Engineer or a Senior Principal Radar Modeling, Simulation & Analysis Systems Engineer. This position is contingent upon contract award, successful transfer of an active U.S Government Secret Clearance and the ability to obtain Special Program Access (SAP). Basic Qualifications for Skillbridge Principal Radar Modeling, Simulation & Analysis Systems Engineer: Bachelor's Degree with 5 years of experience, Master's degree with 3 years of experience, Ph.D. with 1 years of experience in Electrical Engineering, Computer Engineering, Computer Science or related technical fields; an additional 4 years of experience may be considered in lieu of a degree. U.S. Citizenship is required. A current/active U.S Government Secret clearance. Ability to obtain/maintain Special Access Program (SAP) access. Experience with programming languages such as C/C++, Python, Bash or C shell scripting on the Linux and Windows computing environments. Experience with domain experience in simulations of RF, EOIR, Communications or related systems. Experience working with digital signal processing and complex valued signal data. Experience with analytical modeling approaches using MATLAB environment. Basic Qualifications for Skillbridge Senior Principal Radar Modeling, Simulation & Analysis Systems Engineer: Bachelor's Degree with 8 years of experience, Master's degree with 6 years of experience, Ph.D. with 4 years of experience in Electrical Engineering, Computer Engineering, Computer Science or related technical fields; an additional 4 years of experience may be considered in lieu of a degree. U.S. Citizenship is required. A current/active U.S Government Secret clearance. Ability to obtain/maintain Special Access Program (SAP) access. Experience with programming languages such as C/C++, Python, Bash or C shell scripting on the Linux and Windows computing environments. Experience with domain experience in simulations of RF, EOIR, Communications or related systems. Experience working with digital signal processing and complex valued signal data. Experience with analytical modeling approaches using MATLAB environment. Preferred Qualifications: Active U.S Government Top Secret Clearance or higher. Advanced degrees in Engineering, Computer Science, Applied Physics, Applied Mathematics, or a related technical field. Experience with Modeling, Experimentation, Simulation, and Analysis. Experience with real-time and/or reactive simulation software applications development. Experience with one or more of the following: statistics, design of experiments, descriptive/diagnostic/predictive/prescriptive analytics, high performance computing. Experience developing and validating radar modes. Experience with adaptive signal processing. Experience with optimal estimation theory. Understanding of the Systems Engineering and Integration & Test processes. Experience with DPC, CUDA, OpenCL, Verilog, VHDL, or other domain specific languages. Experience with Agile and/or SAFe methodologies. . click apply for full job details
Johns Hopkins Applied Physics Laboratory (APL) seeks a Senior Enterprise Software Engineer to design and build secure, scalable systems that power critical national security, space, and health missions. You'll lead end-to-end development of enterprise applications and data services, architect cloud-native and on-prem solutions, and mentor engineers on best practices. Collaborating with scientists and domain experts, you'll turn complex mission needs into robust software, with strong support for research, innovation, and professional growth in a highly collaborative, mission-driven environment. Responsibilities Design and implement secure, scalable enterprise software systems for mission-critical applications Lead end-to-end development across architecture, implementation, testing, and deployment Collaborate with scientists, engineers, and domain experts to translate mission needs into technical solutions Architect and optimize cloud-native and hybrid environments for performance and reliability Establish and maintain CI/CD pipelines, automated testing, and Dev Sec Ops practices Mentor and guide junior engineers in software engineering best practices Ensure compliance with security, safety, and quality standards in all software deliverables Contribute to research, prototyping, and innovation for emerging mission needs Required Skills Java Python C++Distributed systems design Cloud platforms (AWS/Azure/GCP) Microservices architecture CI/CD pipelines Containerization (Docker/Kubernetes) SQL/No SQL databases Secure software development
09/12/2026
Full time
Johns Hopkins Applied Physics Laboratory (APL) seeks a Senior Enterprise Software Engineer to design and build secure, scalable systems that power critical national security, space, and health missions. You'll lead end-to-end development of enterprise applications and data services, architect cloud-native and on-prem solutions, and mentor engineers on best practices. Collaborating with scientists and domain experts, you'll turn complex mission needs into robust software, with strong support for research, innovation, and professional growth in a highly collaborative, mission-driven environment. Responsibilities Design and implement secure, scalable enterprise software systems for mission-critical applications Lead end-to-end development across architecture, implementation, testing, and deployment Collaborate with scientists, engineers, and domain experts to translate mission needs into technical solutions Architect and optimize cloud-native and hybrid environments for performance and reliability Establish and maintain CI/CD pipelines, automated testing, and Dev Sec Ops practices Mentor and guide junior engineers in software engineering best practices Ensure compliance with security, safety, and quality standards in all software deliverables Contribute to research, prototyping, and innovation for emerging mission needs Required Skills Java Python C++Distributed systems design Cloud platforms (AWS/Azure/GCP) Microservices architecture CI/CD pipelines Containerization (Docker/Kubernetes) SQL/No SQL databases Secure software development
Johns Hopkins Applied Physics Laboratory (APL) seeks a Data Scientist to apply advanced analytics, machine learning, and statistical modeling to national security, space, and health challenges. In this role, you will design and implement data-driven solutions, build scalable data pipelines, and collaborate with multidisciplinary experts to turn complex data into mission impact. You will explore cutting-edge techniques, communicate insights to diverse stakeholders, and contribute to research, publications, and prototype systems in a highly collaborative, mission-driven environment that supports continuous learning and innovation. Responsibilities Design and implement machine learning and statistical models to solve complex national security, space, and health problems. Collect, clean, integrate, and analyze large, heterogeneous datasets from multiple sources. Develop production-quality data pipelines, analytical tools, and reusable model components. Collaborate with scientists, engineers, and domain experts to translate mission needs into analytical approaches. Visualize and communicate findings, methods, and assumptions to technical and non-technical stakeholders. Document methodologies, experiments, and results; contribute to technical reports and publications. Evaluate and compare modeling approaches; perform rigorous testing, validation, and performance tuning. Stay current with emerging data science methods, tools, and best practices and apply them to APL missions. Required Skills Machine learning (supervised and unsupervised methods) Statistical analysis and modeling Python programming (Num Py, pandas, scikit-learn, etc.) Deep learning frameworks (Tensor Flow or Py Torch) Data wrangling and ETL pipeline development SQL and No SQL databases Data visualization (e.g., Matplotlib, Plotly, Tableau) Cloud platforms (AWS, Azure, or GCP) MLOps and model deployment practices Version control and collaborative development (Git)
09/12/2026
Full time
Johns Hopkins Applied Physics Laboratory (APL) seeks a Data Scientist to apply advanced analytics, machine learning, and statistical modeling to national security, space, and health challenges. In this role, you will design and implement data-driven solutions, build scalable data pipelines, and collaborate with multidisciplinary experts to turn complex data into mission impact. You will explore cutting-edge techniques, communicate insights to diverse stakeholders, and contribute to research, publications, and prototype systems in a highly collaborative, mission-driven environment that supports continuous learning and innovation. Responsibilities Design and implement machine learning and statistical models to solve complex national security, space, and health problems. Collect, clean, integrate, and analyze large, heterogeneous datasets from multiple sources. Develop production-quality data pipelines, analytical tools, and reusable model components. Collaborate with scientists, engineers, and domain experts to translate mission needs into analytical approaches. Visualize and communicate findings, methods, and assumptions to technical and non-technical stakeholders. Document methodologies, experiments, and results; contribute to technical reports and publications. Evaluate and compare modeling approaches; perform rigorous testing, validation, and performance tuning. Stay current with emerging data science methods, tools, and best practices and apply them to APL missions. Required Skills Machine learning (supervised and unsupervised methods) Statistical analysis and modeling Python programming (Num Py, pandas, scikit-learn, etc.) Deep learning frameworks (Tensor Flow or Py Torch) Data wrangling and ETL pipeline development SQL and No SQL databases Data visualization (e.g., Matplotlib, Plotly, Tableau) Cloud platforms (AWS, Azure, or GCP) MLOps and model deployment practices Version control and collaborative development (Git)
Johns Hopkins APL seeks a Sr. Radar Systems Engineer to design, analyze, and evaluate advanced radar and RF sensor systems for national security and space missions. You will develop concepts, models, and algorithms; perform signal processing and performance analysis; and support system integration, test, and field evaluation. Collaborating with multidisciplinary experts, you'll translate mission needs into system requirements, present findings to sponsors, and contribute to innovative, ethical research that advances critical national and global missions while supporting your professional growth. Responsibilities Design and analyze advanced radar and RF sensor systems for defense and space missions Develop system concepts, models, and performance simulations Create and refine signal processing and tracking algorithms Perform requirements analysis and translate mission needs into system specifications Support integration, lab evaluation, and field testing of radar systems Collaborate with multidisciplinary teams across engineering and research domains Document technical findings and present results to sponsors and stakeholders Contribute to innovative, ethical research aligned with APL's mission Required Skills Radar systems design RF engineering Signal processing Modeling and simulation Systems engineering Algorithm development Sensor integration and testing MATLAB or Python Requirements analysis Technical documentation
09/12/2026
Full time
Johns Hopkins APL seeks a Sr. Radar Systems Engineer to design, analyze, and evaluate advanced radar and RF sensor systems for national security and space missions. You will develop concepts, models, and algorithms; perform signal processing and performance analysis; and support system integration, test, and field evaluation. Collaborating with multidisciplinary experts, you'll translate mission needs into system requirements, present findings to sponsors, and contribute to innovative, ethical research that advances critical national and global missions while supporting your professional growth. Responsibilities Design and analyze advanced radar and RF sensor systems for defense and space missions Develop system concepts, models, and performance simulations Create and refine signal processing and tracking algorithms Perform requirements analysis and translate mission needs into system specifications Support integration, lab evaluation, and field testing of radar systems Collaborate with multidisciplinary teams across engineering and research domains Document technical findings and present results to sponsors and stakeholders Contribute to innovative, ethical research aligned with APL's mission Required Skills Radar systems design RF engineering Signal processing Modeling and simulation Systems engineering Algorithm development Sensor integration and testing MATLAB or Python Requirements analysis Technical documentation
Senior Data Scientist - Defense & Aerospace Johns Hopkins Applied Physics Laboratory (APL) seeks a Senior Data Scientist to develop advanced analytics and AI solutions for national security and space missions. You will design and deploy machine learning and statistical models, lead end-to-end data science projects, and collaborate with domain experts to deliver decision-quality insights. In APL's mission-driven, research-focused culture, you'll explore cutting-edge methods, publish and prototype, mentor junior staff, and help shape ethical, high-impact AI systems that address critical national and global challenges. Responsibilities Design, implement, and validate advanced machine learning and statistical models for defense and aerospace applications Lead end-to-end data science projects from problem framing through deployment and transition to sponsors Collaborate with engineers, analysts, and mission experts to translate complex operational needs into analytic solutions Mentor and guide junior data scientists, promoting best practices in coding, modeling, and documentation Prototype, evaluate, and communicate novel AI approaches through reports, briefings, and, when appropriate, publications Ensure models are robust, explainable, and aligned with ethical and responsible AI principles Work with software and systems engineers to operationalize models in real-world environments Engage with sponsors to define requirements, present results, and shape future research directions Required Skills Machine learning (supervised, unsupervised, and deep learning) Statistical modeling and inference Python programming (Num Py, pandas, scikit-learn, Py Torch/Tensor Flow) Data engineering and ETL for analytics MLOps and model deployment (CI/CD, containers, cloud) Bayesian methods and probabilistic modeling Experiment design and A/B testing Natural language processing or computer vision (preferred) Big data tools (Spark, distributed computing) Domain knowledge in defense, aerospace, or national security analytics
09/12/2026
Full time
Senior Data Scientist - Defense & Aerospace Johns Hopkins Applied Physics Laboratory (APL) seeks a Senior Data Scientist to develop advanced analytics and AI solutions for national security and space missions. You will design and deploy machine learning and statistical models, lead end-to-end data science projects, and collaborate with domain experts to deliver decision-quality insights. In APL's mission-driven, research-focused culture, you'll explore cutting-edge methods, publish and prototype, mentor junior staff, and help shape ethical, high-impact AI systems that address critical national and global challenges. Responsibilities Design, implement, and validate advanced machine learning and statistical models for defense and aerospace applications Lead end-to-end data science projects from problem framing through deployment and transition to sponsors Collaborate with engineers, analysts, and mission experts to translate complex operational needs into analytic solutions Mentor and guide junior data scientists, promoting best practices in coding, modeling, and documentation Prototype, evaluate, and communicate novel AI approaches through reports, briefings, and, when appropriate, publications Ensure models are robust, explainable, and aligned with ethical and responsible AI principles Work with software and systems engineers to operationalize models in real-world environments Engage with sponsors to define requirements, present results, and shape future research directions Required Skills Machine learning (supervised, unsupervised, and deep learning) Statistical modeling and inference Python programming (Num Py, pandas, scikit-learn, Py Torch/Tensor Flow) Data engineering and ETL for analytics MLOps and model deployment (CI/CD, containers, cloud) Bayesian methods and probabilistic modeling Experiment design and A/B testing Natural language processing or computer vision (preferred) Big data tools (Spark, distributed computing) Domain knowledge in defense, aerospace, or national security analytics
Johns Hopkins Applied Physics Laboratory (APL) seeks a Senior Ontologist to design and operationalize knowledge graphs and semantic models for Defense & Aerospace AI and data science missions. You will lead ontology development, schema governance, and knowledge integration across heterogeneous, high-value datasets supporting national security and space systems. Partner with domain experts, data scientists, and engineers to formalize complex concepts, develop reusable ontological patterns, and ensure semantic interoperability. APL offers a mission-driven, collaborative, research-focused culture with strong support for innovation and professional growth. Responsibilities Lead design and implementation of ontologies and knowledge graphs for Defense & Aerospace AI and data science projects Define and govern semantic data models, vocabularies, and schemas for complex mission data Collaborate with data scientists, AI/ML engineers, and domain experts to encode domain knowledge into reusable ontological patterns Integrate heterogeneous data sources into coherent semantic architectures enabling analytics and decision support Establish ontology governance, best practices, and documentation for reuse and interoperability Evaluate and select semantic technologies, tools, and standards to support mission needs Mentor junior ontologists and technical staff on semantic technologies and knowledge engineering Support proposal development and technical reports for sponsors in national security and space missions Required Skills Ontology engineering (OWL, RDF, RDFS) SPARQL and graph query optimization Knowledge graph design and integration Knowledge representation and reasoning Semantic data modeling and schema design Python or Java for semantic tooling Graph databases (e.g., Neo4j, Blazegraph, Stardog) Data integration and ETL for semantic systems Defense & Aerospace or national security data domain knowledge Modeling standards and frameworks (e.g., SKOS, SHACL, UML)
09/12/2026
Full time
Johns Hopkins Applied Physics Laboratory (APL) seeks a Senior Ontologist to design and operationalize knowledge graphs and semantic models for Defense & Aerospace AI and data science missions. You will lead ontology development, schema governance, and knowledge integration across heterogeneous, high-value datasets supporting national security and space systems. Partner with domain experts, data scientists, and engineers to formalize complex concepts, develop reusable ontological patterns, and ensure semantic interoperability. APL offers a mission-driven, collaborative, research-focused culture with strong support for innovation and professional growth. Responsibilities Lead design and implementation of ontologies and knowledge graphs for Defense & Aerospace AI and data science projects Define and govern semantic data models, vocabularies, and schemas for complex mission data Collaborate with data scientists, AI/ML engineers, and domain experts to encode domain knowledge into reusable ontological patterns Integrate heterogeneous data sources into coherent semantic architectures enabling analytics and decision support Establish ontology governance, best practices, and documentation for reuse and interoperability Evaluate and select semantic technologies, tools, and standards to support mission needs Mentor junior ontologists and technical staff on semantic technologies and knowledge engineering Support proposal development and technical reports for sponsors in national security and space missions Required Skills Ontology engineering (OWL, RDF, RDFS) SPARQL and graph query optimization Knowledge graph design and integration Knowledge representation and reasoning Semantic data modeling and schema design Python or Java for semantic tooling Graph databases (e.g., Neo4j, Blazegraph, Stardog) Data integration and ETL for semantic systems Defense & Aerospace or national security data domain knowledge Modeling standards and frameworks (e.g., SKOS, SHACL, UML)
Johns Hopkins Applied Physics Laboratory (APL)
Arlington, Virginia
Johns Hopkins Applied Physics Laboratory (APL) seeks a Senior NLCC Communication Systems Engineer to lead design, analysis, and integration of advanced communications systems supporting Nuclear Command, Control, and Communications (NC3) and related national security missions. You will architect robust end-to-end links, perform modeling and simulation, guide requirements, and support test and evaluation of RF, satellite, and secure networking solutions. Collaborating with multidisciplinary experts, you'll advance resilient, secure comms architectures while mentoring junior engineers and contributing to technical strategy and sponsor engagement. Responsibilities Lead design and analysis of secure NLCC/NC3 communication systems and architectures Develop system requirements, interface definitions, and technical documentation Perform modeling, simulation, and link/performance analyses for RF and SATCOM links Guide integration, test, and evaluation of communication systems in lab and field environments Collaborate with cross-disciplinary teams to ensure mission resilience and security Engage with government sponsors to capture needs and present technical findings Mentor and provide technical guidance to junior engineers Support trade studies and technology assessments to inform future architectures Required Skills RF communications engineering Digital signal processing (DSP) Network architecture and protocol design Link budget and performance analysis Modeling and simulation tools (e.g., MATLAB, STK) Systems engineering and requirements development SATCOM and tactical data links Cyber-resilient communications design Test and evaluation of comm systems Technical documentation and presentations
09/12/2026
Full time
Johns Hopkins Applied Physics Laboratory (APL) seeks a Senior NLCC Communication Systems Engineer to lead design, analysis, and integration of advanced communications systems supporting Nuclear Command, Control, and Communications (NC3) and related national security missions. You will architect robust end-to-end links, perform modeling and simulation, guide requirements, and support test and evaluation of RF, satellite, and secure networking solutions. Collaborating with multidisciplinary experts, you'll advance resilient, secure comms architectures while mentoring junior engineers and contributing to technical strategy and sponsor engagement. Responsibilities Lead design and analysis of secure NLCC/NC3 communication systems and architectures Develop system requirements, interface definitions, and technical documentation Perform modeling, simulation, and link/performance analyses for RF and SATCOM links Guide integration, test, and evaluation of communication systems in lab and field environments Collaborate with cross-disciplinary teams to ensure mission resilience and security Engage with government sponsors to capture needs and present technical findings Mentor and provide technical guidance to junior engineers Support trade studies and technology assessments to inform future architectures Required Skills RF communications engineering Digital signal processing (DSP) Network architecture and protocol design Link budget and performance analysis Modeling and simulation tools (e.g., MATLAB, STK) Systems engineering and requirements development SATCOM and tactical data links Cyber-resilient communications design Test and evaluation of comm systems Technical documentation and presentations
Johns Hopkins Applied Physics Laboratory (APL) seeks a Systems Engineer for Data & Analysis Infrastructure to design, build, and sustain secure, scalable data platforms that power mission-critical research in national security, space, and health. You will architect and integrate data pipelines, storage, and analytics environments; collaborate with multidisciplinary teams to translate mission needs into resilient systems; and apply automation, monitoring, and optimization to ensure high performance and reliability. Join APL's mission-driven, collaborative culture with strong support for innovation and professional growth. Responsibilities Design, implement, and maintain secure, scalable data and analytics infrastructure to support research and mission programs. Integrate data sources, pipelines, and storage solutions to enable advanced modeling, simulation, and analytics. Collaborate with researchers, engineers, and analysts to translate mission needs into technical system requirements. Monitor, optimize, and troubleshoot system performance, reliability, and security in production environments. Automate deployment, configuration, and monitoring using modern Dev Ops and infrastructure-as-code tools. Document architectures, interfaces, and operational procedures in accordance with APL and sponsor standards. Required Skills Systems engineering Data platform architecture ETL and data pipelines SQL and No SQL databases Cloud platforms (AWS/Azure/GCP) Linux administration Networking and security fundamentals Infrastructure as Code (e.g., Terraform, Ansible) Monitoring and observability tools Scripting (Python, Bash or similar)
09/12/2026
Full time
Johns Hopkins Applied Physics Laboratory (APL) seeks a Systems Engineer for Data & Analysis Infrastructure to design, build, and sustain secure, scalable data platforms that power mission-critical research in national security, space, and health. You will architect and integrate data pipelines, storage, and analytics environments; collaborate with multidisciplinary teams to translate mission needs into resilient systems; and apply automation, monitoring, and optimization to ensure high performance and reliability. Join APL's mission-driven, collaborative culture with strong support for innovation and professional growth. Responsibilities Design, implement, and maintain secure, scalable data and analytics infrastructure to support research and mission programs. Integrate data sources, pipelines, and storage solutions to enable advanced modeling, simulation, and analytics. Collaborate with researchers, engineers, and analysts to translate mission needs into technical system requirements. Monitor, optimize, and troubleshoot system performance, reliability, and security in production environments. Automate deployment, configuration, and monitoring using modern Dev Ops and infrastructure-as-code tools. Document architectures, interfaces, and operational procedures in accordance with APL and sponsor standards. Required Skills Systems engineering Data platform architecture ETL and data pipelines SQL and No SQL databases Cloud platforms (AWS/Azure/GCP) Linux administration Networking and security fundamentals Infrastructure as Code (e.g., Terraform, Ansible) Monitoring and observability tools Scripting (Python, Bash or similar)
As an AFSIM Analyst in the Data Science & AI Department at Johns Hopkins Applied Physics Laboratory (APL), you will design, implement, and analyze advanced AFSIM simulations to evaluate defense and aerospace systems and concepts. You will apply data science and AI techniques to complex mission problems, collaborating with multidisciplinary experts in a mission-driven, inclusive environment. APL offers opportunities for impactful research, professional growth, advanced degrees, and innovation in support of critical national security and space challenges. Responsibilities Develop, run, and analyze AFSIM-based simulations to assess defense and aerospace concepts and systems Apply data science and AI methods to design, execute, and evaluate complex modeling and simulation experiments Collaborate with multidisciplinary teams to translate sponsor problems into quantitative simulation studies Validate, document, and present modeling assumptions, methods, and results to technical and non-technical stakeholders Develop tools, scripts, and workflows to automate simulation, data processing, and visualization Support research reports, briefings, and publications that inform national security decisions Stay current on advances in modeling, simulation, AI, and defense mission domains to enhance analyses Required Skills AFSIM modeling and scenario development Python programming C++ or C# programming Statistical data analysis Machine learning / AI methods Defense and aerospace domain knowledge Systems engineering concepts Simulation verification and validation Data visualization (e.g., matplotlib, Plotly) Version control (e.g., Git)
09/12/2026
Full time
As an AFSIM Analyst in the Data Science & AI Department at Johns Hopkins Applied Physics Laboratory (APL), you will design, implement, and analyze advanced AFSIM simulations to evaluate defense and aerospace systems and concepts. You will apply data science and AI techniques to complex mission problems, collaborating with multidisciplinary experts in a mission-driven, inclusive environment. APL offers opportunities for impactful research, professional growth, advanced degrees, and innovation in support of critical national security and space challenges. Responsibilities Develop, run, and analyze AFSIM-based simulations to assess defense and aerospace concepts and systems Apply data science and AI methods to design, execute, and evaluate complex modeling and simulation experiments Collaborate with multidisciplinary teams to translate sponsor problems into quantitative simulation studies Validate, document, and present modeling assumptions, methods, and results to technical and non-technical stakeholders Develop tools, scripts, and workflows to automate simulation, data processing, and visualization Support research reports, briefings, and publications that inform national security decisions Stay current on advances in modeling, simulation, AI, and defense mission domains to enhance analyses Required Skills AFSIM modeling and scenario development Python programming C++ or C# programming Statistical data analysis Machine learning / AI methods Defense and aerospace domain knowledge Systems engineering concepts Simulation verification and validation Data visualization (e.g., matplotlib, Plotly) Version control (e.g., Git)
Johns Hopkins Applied Physics Laboratory (APL) seeks a Senior Solutions Architect to design and integrate complex, mission-critical systems across national security, space, and health domains. You will work with scientists, engineers, and sponsors to translate mission needs into scalable, secure architectures spanning cloud, data, and advanced analytics. In APL's collaborative, mission-driven culture, you'll lead technical vision, guide implementation, mentor engineers, and contribute to innovative research while growing your expertise through strong support for professional development and advanced study. Responsibilities Design end-to-end solutions and reference architectures for complex mission systems. Translate sponsor and mission requirements into scalable, secure technical designs. Lead technical direction across cloud, data, and integration platforms. Collaborate with scientists, engineers, and stakeholders to refine system concepts. Guide implementation teams and perform architectural reviews and trade studies. Ensure architectures meet performance, security, and compliance requirements. Produce high-quality architectural documentation and system models. Mentor junior engineers and contribute to technical leadership communities. Required Skills Solution architecture Systems engineering Cloud architecture (AWS/Azure/GCP) Microservices and APIs Systems modeling and design Cybersecurity best practices Data integration and analytics Technical leadership Stakeholder and requirements management Technical documentation
09/12/2026
Full time
Johns Hopkins Applied Physics Laboratory (APL) seeks a Senior Solutions Architect to design and integrate complex, mission-critical systems across national security, space, and health domains. You will work with scientists, engineers, and sponsors to translate mission needs into scalable, secure architectures spanning cloud, data, and advanced analytics. In APL's collaborative, mission-driven culture, you'll lead technical vision, guide implementation, mentor engineers, and contribute to innovative research while growing your expertise through strong support for professional development and advanced study. Responsibilities Design end-to-end solutions and reference architectures for complex mission systems. Translate sponsor and mission requirements into scalable, secure technical designs. Lead technical direction across cloud, data, and integration platforms. Collaborate with scientists, engineers, and stakeholders to refine system concepts. Guide implementation teams and perform architectural reviews and trade studies. Ensure architectures meet performance, security, and compliance requirements. Produce high-quality architectural documentation and system models. Mentor junior engineers and contribute to technical leadership communities. Required Skills Solution architecture Systems engineering Cloud architecture (AWS/Azure/GCP) Microservices and APIs Systems modeling and design Cybersecurity best practices Data integration and analytics Technical leadership Stakeholder and requirements management Technical documentation
Amazon Development Center U.S., Inc.
Seattle, Washington
As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. Amazon WorkSpaces has protected and empowered enterprise work for over a decade, and we are now reimagining what a workspace is. We are building Agentic WorkSpaces: a platform where the workspace itself is an active partner in how you work, not just infrastructure that delivers applications. Today more than a million users rely on WorkSpaces daily; tomorrow those workspaces will host AI agents alongside humans, agents that code, troubleshoot, analyze, and act on behalf of their users, governed by the same identity and security policies as the people they serve. We compete with Microsoft, Citrix, and Omnissa, and we intend to leapfrog them by building the workspace that was designed for the agentic era, not retrofitted for it. Agentic Workspaces' On-Instance Software (OIS) is the layer that makes this possible from the inside of every WorkSpace: the operating system, provisioning logic, on-instance agents, telemetry, and update mechanisms across Windows and Linux. Our vision is for that software to be invisible, operating systems that launch within weeks of upstream general availability, agents that update themselves safely without disrupting access, provisioning that is self-diagnosable, and fleet management that works through the same AWS tools customers already use, delivered from commercial regions to classified partitions with automation as the default so quality and breadth improve release over release. We are looking for a Software Development Engineer to design, build, and operate the services and agents that provision, secure, and maintain WorkSpaces for humans and, increasingly, for the AI agents that work beside them, across every supported OS and identity provider. You will own end-to-end delivery of features and systems within OIS - from design through deployment and operations - holding a high bar for availability, latency, and security. You are customer-obsessed, technically deep, and energized by solving hard problems. You think big about what the workspace of the future looks like - a unified agent shipping to two platforms from one codebase, an identity model that treats humans and agents as first-class citizens, and autonomous troubleshooting that resolves issues before users notice - and then you build the systems to get there. You thrive in ambiguity, make sound trade-off decisions with incomplete information, and hold yourself accountable for results that matter. You want to solve challenging problems in operating systems, identity, AI, and desktop platform engineering at a scale that impacts more than a million users daily. Key job responsibilities Design and deliver features and systems within On-Instance Software, contributing to the architecture strategy for how the on-instance layer evolves to host and govern AI agents alongside human users. Drive the agent unification work that lets Windows and Linux features ship from a single codebase, making feature parity the default rather than a follow-up. Partner with EC2, identity providers, self-service troubleshooting, and platform teams - earning trust by driving technical discussions that result in impactful architectural decisions. Design and implement on-instance identity, security, and governance for a world where humans and agents share the same desktop: identity integration across the major join models, a trust and authorization posture that treats agents as first-class principals, and compliance-ready images built in rather than bolted on. Own the operation of low-latency, high-availability provisioning and agent services used by more than one million WorkSpaces users globally. Ensure your services meet stringent SLAs across multiple production regions, AWS partitions, and OS variants, with self-service diagnostics and autonomous issue resolution before customers are impacted. Drive engineering excellence through instrumentation, automated testing, and pipeline-based deployment - eliminating manual toil and shipping features simultaneously across Windows and Linux. Think big about the agentic era and experiment boldly with AI-powered capabilities such as conversational setup, natural-language troubleshooting, and AI-assisted fleet management. Raise the bar on customer self-service so operating-system breadth, safe automatic updates, and reliable provisioning are delivered without imposing an operational tax on the customer or the agent workflows running on the desktop. About the team ABOUT AWS: 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. 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. 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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. 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 and AmazeCon conferences, inspire us to never stop embracing our uniqueness. 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. 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, WA, Seattle - 143 400.00 USD annually
09/12/2026
Full time
As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. Amazon WorkSpaces has protected and empowered enterprise work for over a decade, and we are now reimagining what a workspace is. We are building Agentic WorkSpaces: a platform where the workspace itself is an active partner in how you work, not just infrastructure that delivers applications. Today more than a million users rely on WorkSpaces daily; tomorrow those workspaces will host AI agents alongside humans, agents that code, troubleshoot, analyze, and act on behalf of their users, governed by the same identity and security policies as the people they serve. We compete with Microsoft, Citrix, and Omnissa, and we intend to leapfrog them by building the workspace that was designed for the agentic era, not retrofitted for it. Agentic Workspaces' On-Instance Software (OIS) is the layer that makes this possible from the inside of every WorkSpace: the operating system, provisioning logic, on-instance agents, telemetry, and update mechanisms across Windows and Linux. Our vision is for that software to be invisible, operating systems that launch within weeks of upstream general availability, agents that update themselves safely without disrupting access, provisioning that is self-diagnosable, and fleet management that works through the same AWS tools customers already use, delivered from commercial regions to classified partitions with automation as the default so quality and breadth improve release over release. We are looking for a Software Development Engineer to design, build, and operate the services and agents that provision, secure, and maintain WorkSpaces for humans and, increasingly, for the AI agents that work beside them, across every supported OS and identity provider. You will own end-to-end delivery of features and systems within OIS - from design through deployment and operations - holding a high bar for availability, latency, and security. You are customer-obsessed, technically deep, and energized by solving hard problems. You think big about what the workspace of the future looks like - a unified agent shipping to two platforms from one codebase, an identity model that treats humans and agents as first-class citizens, and autonomous troubleshooting that resolves issues before users notice - and then you build the systems to get there. You thrive in ambiguity, make sound trade-off decisions with incomplete information, and hold yourself accountable for results that matter. You want to solve challenging problems in operating systems, identity, AI, and desktop platform engineering at a scale that impacts more than a million users daily. Key job responsibilities Design and deliver features and systems within On-Instance Software, contributing to the architecture strategy for how the on-instance layer evolves to host and govern AI agents alongside human users. Drive the agent unification work that lets Windows and Linux features ship from a single codebase, making feature parity the default rather than a follow-up. Partner with EC2, identity providers, self-service troubleshooting, and platform teams - earning trust by driving technical discussions that result in impactful architectural decisions. Design and implement on-instance identity, security, and governance for a world where humans and agents share the same desktop: identity integration across the major join models, a trust and authorization posture that treats agents as first-class principals, and compliance-ready images built in rather than bolted on. Own the operation of low-latency, high-availability provisioning and agent services used by more than one million WorkSpaces users globally. Ensure your services meet stringent SLAs across multiple production regions, AWS partitions, and OS variants, with self-service diagnostics and autonomous issue resolution before customers are impacted. Drive engineering excellence through instrumentation, automated testing, and pipeline-based deployment - eliminating manual toil and shipping features simultaneously across Windows and Linux. Think big about the agentic era and experiment boldly with AI-powered capabilities such as conversational setup, natural-language troubleshooting, and AI-assisted fleet management. Raise the bar on customer self-service so operating-system breadth, safe automatic updates, and reliable provisioning are delivered without imposing an operational tax on the customer or the agent workflows running on the desktop. About the team ABOUT AWS: 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. 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. 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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. 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 and AmazeCon conferences, inspire us to never stop embracing our uniqueness. 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. 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, WA, Seattle - 143 400.00 USD annually
Johns Hopkins Applied Physics Laboratory (APL) seeks an NSS Senior Space Systems Engineer to lead end-to-end space mission architecture and design for national security sponsors. In this role, you will define system requirements, perform mission and payload trade studies, model performance, and guide integration of spacecraft, payload, ground, and communications segments. You'll collaborate with experts across disciplines, mentor junior staff, and brief government partners while advancing innovative concepts that shape future space capabilities in a mission-driven, research-focused environment. Responsibilities Lead architecture, design, and analysis of national security space systems and missions. Develop system requirements, interfaces, and verification/validation plans. Perform mission modeling, trade studies, and performance analysis. Guide integration of spacecraft, payloads, ground systems, and communications segments. Collaborate with multidisciplinary teams across APL, government, and industry partners. Provide technical leadership, mentoring, and peer review for engineering teams. Prepare and present technical briefings, reports, and documentation to sponsors. Support proposal development, concept studies, and technology roadmapping. Required Skills Space systems engineering Systems requirements and interface management Mission design and analysis Modeling and simulation (e.g., STK, MATLAB, GMAT) Spacecraft and payload integration Verification and validation planning Orbital mechanics and astrodynamics RF communications and ground systems concepts Risk, reliability, and trade study analysis Technical leadership and technical writing
09/12/2026
Full time
Johns Hopkins Applied Physics Laboratory (APL) seeks an NSS Senior Space Systems Engineer to lead end-to-end space mission architecture and design for national security sponsors. In this role, you will define system requirements, perform mission and payload trade studies, model performance, and guide integration of spacecraft, payload, ground, and communications segments. You'll collaborate with experts across disciplines, mentor junior staff, and brief government partners while advancing innovative concepts that shape future space capabilities in a mission-driven, research-focused environment. Responsibilities Lead architecture, design, and analysis of national security space systems and missions. Develop system requirements, interfaces, and verification/validation plans. Perform mission modeling, trade studies, and performance analysis. Guide integration of spacecraft, payloads, ground systems, and communications segments. Collaborate with multidisciplinary teams across APL, government, and industry partners. Provide technical leadership, mentoring, and peer review for engineering teams. Prepare and present technical briefings, reports, and documentation to sponsors. Support proposal development, concept studies, and technology roadmapping. Required Skills Space systems engineering Systems requirements and interface management Mission design and analysis Modeling and simulation (e.g., STK, MATLAB, GMAT) Spacecraft and payload integration Verification and validation planning Orbital mechanics and astrodynamics RF communications and ground systems concepts Risk, reliability, and trade study analysis Technical leadership and technical writing
