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At Bose Corporation, we believe sound is the most powerful force on earth - and for over 60 years, we have been a company built on innovation, excellence, and independence. Privately owned, fiercely customer-focused, and driven by our values, we continue to lead industries and transform lives through sound. Today, Bose Corporation is entering an exciting new era. Across multiple global Business Units and Global Functions, we are shaping the future of audio technology, automotive, luxury, and premium experiences. We invite you to join us in this transformation. Job Description Principal Systems Engineer - Systems Architect, Edge AI Audio Technology About the Role Bose is building the technologies that will define the next generation of audio experiences. Within Audio Technology, we are seeking a Principal Systems Engineer - Systems Architect, Edge AI to help architect that future. This is a deeply technical and creative role at the intersection of embedded systems, audio, machine learning, and AI-enabled engineering. You will assess new ideas, explore system architectures, prove technical feasibility, and help turn promising technologies into scalable Bose platforms and reusable IP across environments ranging from low-power wearables to phones, PCs, Macs, and Linux-based embedded systems. A defining part of the role is also changing how architecture itself is done. You will build AI agents, simulations, and automated engineering loops that accelerate architecture exploration and stress-test candidate solutions against system requirements and constraints. What You'll Do Architect complex embedded hardware/software solutions for future Bose technologies. Evaluate new concepts for technical feasibility, architectural tradeoffs, risk, and scalability. Translate audio, sensing, ML, and AI technologies into reusable system architectures. Build simulations, prototypes, and experiments to evaluate candidate solutions. Develop agentic AI workflows and reusable AI-enabled engineering infrastructure for architecture exploration and verification. Stress-test architectures across power, compute, memory, latency, performance, and security. Architect Bose algorithms, models, frameworks, and IP for secure integration into third-party systems. Influence the future Bose technology roadmap through deep understanding of embedded AI, silicon, audio, and edge computing. Provide Principal-level technical leadership across Bose Labs, engineering teams, suppliers, and external partners. Minimum Qualifications Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Systems Engineering, or a related field, or equivalent practical experience. Significant experience developing or architecting complex embedded hardware and software systems. Strong systems architecture experience across hardware and software. Experience with embedded processors, SoCs, DSPs, real-time systems, and Linux-based platforms. Strong knowledge of digital audio signal processing and audio system architectures. Experience implementing or deploying machine learning models on embedded or edge devices. Understanding of edge-ML constraints including compute, memory, power, latency, and hardware acceleration. Demonstrated experience using AI to solve meaningful technical problems with measurable engineering or business impact. Preferred Qualifications Experience developing AI agents, agentic workflows, or AI-enabled engineering systems. Experience with AI/ML model development, training, evaluation, or optimization. Experience with AI-enabled simulation, design-space exploration, or technical verification. Experience with TinyML, NPUs, DSP-based ML acceleration, or heterogeneous compute. Experience with audio ML, speech processing, spatial audio, or intelligent noise management. Experience architecting advanced audio products or embedded audio systems. Experience with hardware/software co-design, secure embedded architectures, SDKs, frameworks, or reference designs. Experience working with semiconductor vendors, technology partners, third-party integrators, or licensing models. Who You Are You are a systems thinker, builder, and technical innovator who can move between silicon, embedded software, DSP, machine learning, and system architecture. You enjoy ambiguous problems, explore multiple solutions before converging, and use experimentation and evidence to guide decisions. Most importantly, you want to help shape the future of embedded AI and intelligent audio-and turn those possibilities into secure, scalable, reusable technologies that power the future of Bose. At Bose, you're inspired to be and do your best and are rewarded for your unique talents! Our compensation is thoughtfully tailored to your skills, experience, education, and location, and goes beyond base salary. The hiring range for this position in the primary work location of Remote, California is: $168,300-$231,450.The hiring range for other Bose work locations may vary. In addition to competitive base pay we offer rewards including bonus programs, comprehensive health and welfare benefits, a 401(k) plan, plus exclusive perks designed to support your wellbeing, and a generous employee discount where you can immerse yourself in our products and experiences. We are a proudly independent company-driven by purpose, guided by our values, and united by a belief in the power of sound. As the world leader in audio experiences, we're creating what's next-pushing boundaries and delivering transformative sound experiences for people everywhere. Join us and make your next career move a mic-drop. Let's Make Waves.

At Bose Corporation, we believe sound is the most powerful force on earth - and for over 60 years, we have been a company built on innovation, excellence, and independence. Privately owned, fiercely customer-focused, and driven by our values, we continue to lead industries and transform lives through sound. Today, Bose Corporation is entering an exciting new era. Across multiple global Business Units and Global Functions, we are shaping the future of audio technology, automotive, luxury, and premium experiences. We invite you to join us in this transformation. Job Description Principal Systems Engineer - Systems Architect, Edge AI Audio Technology About the Role Bose is building the technologies that will define the next generation of audio experiences. Within Audio Technology, we are seeking a Principal Systems Engineer - Systems Architect, Edge AI to help architect that future. This is a deeply technical and creative role at the intersection of embedded systems, audio, machine learning, and AI-enabled engineering. You will assess new ideas, explore system architectures, prove technical feasibility, and help turn promising technologies into scalable Bose platforms and reusable IP across environments ranging from low-power wearables to phones, PCs, Macs, and Linux-based embedded systems. A defining part of the role is also changing how architecture itself is done. You will build AI agents, simulations, and automated engineering loops that accelerate architecture exploration and stress-test candidate solutions against system requirements and constraints. What You'll Do Architect complex embedded hardware/software solutions for future Bose technologies. Evaluate new concepts for technical feasibility, architectural tradeoffs, risk, and scalability. Translate audio, sensing, ML, and AI technologies into reusable system architectures. Build simulations, prototypes, and experiments to evaluate candidate solutions. Develop agentic AI workflows and reusable AI-enabled engineering infrastructure for architecture exploration and verification. Stress-test architectures across power, compute, memory, latency, performance, and security. Architect Bose algorithms, models, frameworks, and IP for secure integration into third-party systems. Influence the future Bose technology roadmap through deep understanding of embedded AI, silicon, audio, and edge computing. Provide Principal-level technical leadership across Bose Labs, engineering teams, suppliers, and external partners. Minimum Qualifications Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Systems Engineering, or a related field, or equivalent practical experience. Significant experience developing or architecting complex embedded hardware and software systems. Strong systems architecture experience across hardware and software. Experience with embedded processors, SoCs, DSPs, real-time systems, and Linux-based platforms. Strong knowledge of digital audio signal processing and audio system architectures. Experience implementing or deploying machine learning models on embedded or edge devices. Understanding of edge-ML constraints including compute, memory, power, latency, and hardware acceleration. Demonstrated experience using AI to solve meaningful technical problems with measurable engineering or business impact. Preferred Qualifications Experience developing AI agents, agentic workflows, or AI-enabled engineering systems. Experience with AI/ML model development, training, evaluation, or optimization. Experience with AI-enabled simulation, design-space exploration, or technical verification. Experience with TinyML, NPUs, DSP-based ML acceleration, or heterogeneous compute. Experience with audio ML, speech processing, spatial audio, or intelligent noise management. Experience architecting advanced audio products or embedded audio systems. Experience with hardware/software co-design, secure embedded architectures, SDKs, frameworks, or reference designs. Experience working with semiconductor vendors, technology partners, third-party integrators, or licensing models. Who You Are You are a systems thinker, builder, and technical innovator who can move between silicon, embedded software, DSP, machine learning, and system architecture. You enjoy ambiguous problems, explore multiple solutions before converging, and use experimentation and evidence to guide decisions. Most importantly, you want to help shape the future of embedded AI and intelligent audio-and turn those possibilities into secure, scalable, reusable technologies that power the future of Bose. At Bose, you're inspired to be and do your best and are rewarded for your unique talents! Our compensation is thoughtfully tailored to your skills, experience, education, and location, and goes beyond base salary. The hiring range for this position in the primary work location of Remote, California is: $168,300-$231,450.The hiring range for other Bose work locations may vary. In addition to competitive base pay we offer rewards including bonus programs, comprehensive health and welfare benefits, a 401(k) plan, plus exclusive perks designed to support your wellbeing, and a generous employee discount where you can immerse yourself in our products and experiences. We are a proudly independent company-driven by purpose, guided by our values, and united by a belief in the power of sound. As the world leader in audio experiences, we're creating what's next-pushing boundaries and delivering transformative sound experiences for people everywhere. Join us and make your next career move a mic-drop. Let's Make Waves.

Be part of a team that unleashes the power of leading-edge technologies to help improve the health and well-being of those most vulnerable in our country and communities. Working at Gainwell carries its rewards. You'll have an incredible opportunity to grow your career in a company that values work flexibility, learning, and career development. You'll add to your technical credentials and certifications while enjoying a generous, flexible vacation policy and educational assistance. We also have comprehensive leadership and technical development academies to help build your skills and capabilities. Summary Gainwell Technologies is seeking a highly skilled AI Engineer to design, develop, and deploy advanced AI solutions, including Generative AI (GenAI), across our healthcare technology platforms. This role involves building and optimizing AI technologies, integrating them into existing systems, and ensuring their effectiveness in improving healthcare outcomes and operational efficiency while maintaining compliance with industry standards. Your role in our mission AI Model Development - Design, build, and train machine learning and deep learning models, including GenAI, NLP, and predictive analytics solutions for healthcare applications. End-to-End AI Solution Deployment - Develop, test, and deploy AI solutions in cloud and on-premise environments, ensuring reliability, scalability, and real-world impact. Data Engineering & Processing - Work with large healthcare datasets, performing data preprocessing, feature engineering, and model training while ensuring compliance with HIPAA and other regulatory standards. System Integration - Implement and optimize AI models within Gainwell's existing technology stack, collaborating with software engineers to ensure seamless integration. Performance Optimization - Continuously monitor, refine, and optimize AI models for accuracy, efficiency, and speed, leveraging MLOps best practices. AI Research & Innovation - Stay updated with the latest AI/ML advancements, exploring new technologies and methodologies to enhance solution effectiveness. Compliance & Security - Ensure AI implementations adhere to healthcare industry regulations, ethical AI principles, and data privacy standards. Automation & Workflow Enhancement - Identify opportunities to automate workflows and optimize business processes using AI-driven solutions. What we're looking for Advanced Education: Master's or Ph.D. in Computer Science, AI, Data Science, or a related field. Extensive AI/ML Experience: 5+ years in AI/ML engineering, including hands-on work with GenAI, NLP, deep learning, and computer vision. Technical Proficiency: Strong coding skills in Python and frameworks like TensorFlow and PyTorch; experienced with LLMs (e.g., GPT, Gemini, Claude) including prompt engineering and optimization. Scalable Deployment Skills: Familiar with cloud platforms (AWS, Azure, GCP), MLOps practices, and big data tools (Spark, Hadoop, SQL/NoSQL). Domain Knowledge: Strong problem-solving abilities with a plus for experience in healthcare AI and understanding of regulatory standards like HIPAA and CMS. Experience developing, deploying and finetuning LLMs (GPT, Gemini, Claude or similar) for real world applications including prompt engineering, model optimization and inference efficiency. Strong programming skills in Python, TensorFlow, PyTorch, and other AI frameworks. Strong problem-solving skills with the ability to translate business challenges into AI-driven solutions. What you should expect in this role Fully Remote Opportunity - Work from anywhere in the U.S. Minimal Travel Required - Occasional travel opportunities (0-10%). Opportunity to Work on Cutting-Edge AI Solutions in a mission-driven healthcare technology environment. Video cameras must be used during all interviews, as well as during the initial week of orientation The pay range for this position is $147,200.00 - $210,300.00 per year, however, the base pay offered may vary depending on geographic region, internal equity, job-related knowledge, skills, and experience among other factors. Put your passion to work at Gainwell. You'll have the opportunity to grow your career in a company that values work flexibility, learning, and career development. All salaried, full-time candidates are eligible for our generous, flexible vacation policy, a 401(k) employer match, comprehensive health benefits, and educational assistance. We also have a variety of leadership and technical development academies to help build your skills and capabilities. We believe nothing is impossible when you bring together people who care deeply about making healthcare work better for everyone. Build your career with Gainwell, an industry leader. You'll be joining a company where collaboration, innovation, and inclusion fuel our growth. Learn more about Gainwell at our company website and visit our Careers site for all available job role openings. Gainwell Technologies is an Equal Opportunity Employer, where all qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical condition), age, sexual orientation, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Gainwell Technologies defines "wages" and "wage rates" to include "all forms of pay, including, but not limited to, salary, overtime pay, bonuses, stock, stock options, profit sharing and bonus plans, life insurance, vacation and holiday pay, cleaning or gasoline allowances, hotel accommodations, reimbursement for travel expenses, and benefits.

Be part of a team that unleashes the power of leading-edge technologies to help improve the health and well-being of those most vulnerable in our country and communities. Working at Gainwell carries its rewards. You'll have an incredible opportunity to grow your career in a company that values work flexibility, learning, and career development. You'll add to your technical credentials and certifications while enjoying a generous, flexible vacation policy and educational assistance. We also have comprehensive leadership and technical development academies to help build your skills and capabilities. Summary Gainwell Technologies is seeking a highly skilled AI Engineer to design, develop, and deploy advanced AI solutions, including Generative AI (GenAI), across our healthcare technology platforms. This role involves building and optimizing AI technologies, integrating them into existing systems, and ensuring their effectiveness in improving healthcare outcomes and operational efficiency while maintaining compliance with industry standards. Your role in our mission AI Model Development - Design, build, and train machine learning and deep learning models, including GenAI, NLP, and predictive analytics solutions for healthcare applications. End-to-End AI Solution Deployment - Develop, test, and deploy AI solutions in cloud and on-premise environments, ensuring reliability, scalability, and real-world impact. Data Engineering & Processing - Work with large healthcare datasets, performing data preprocessing, feature engineering, and model training while ensuring compliance with HIPAA and other regulatory standards. System Integration - Implement and optimize AI models within Gainwell's existing technology stack, collaborating with software engineers to ensure seamless integration. Performance Optimization - Continuously monitor, refine, and optimize AI models for accuracy, efficiency, and speed, leveraging MLOps best practices. AI Research & Innovation - Stay updated with the latest AI/ML advancements, exploring new technologies and methodologies to enhance solution effectiveness. Compliance & Security - Ensure AI implementations adhere to healthcare industry regulations, ethical AI principles, and data privacy standards. Automation & Workflow Enhancement - Identify opportunities to automate workflows and optimize business processes using AI-driven solutions. What we're looking for Advanced Education: Master's or Ph.D. in Computer Science, AI, Data Science, or a related field. Extensive AI/ML Experience: 5+ years in AI/ML engineering, including hands-on work with GenAI, NLP, deep learning, and computer vision. Technical Proficiency: Strong coding skills in Python and frameworks like TensorFlow and PyTorch; experienced with LLMs (e.g., GPT, Gemini, Claude) including prompt engineering and optimization. Scalable Deployment Skills: Familiar with cloud platforms (AWS, Azure, GCP), MLOps practices, and big data tools (Spark, Hadoop, SQL/NoSQL). Domain Knowledge: Strong problem-solving abilities with a plus for experience in healthcare AI and understanding of regulatory standards like HIPAA and CMS. Experience developing, deploying and finetuning LLMs (GPT, Gemini, Claude or similar) for real world applications including prompt engineering, model optimization and inference efficiency. Strong programming skills in Python, TensorFlow, PyTorch, and other AI frameworks. Strong problem-solving skills with the ability to translate business challenges into AI-driven solutions. What you should expect in this role Fully Remote Opportunity - Work from anywhere in the U.S. Minimal Travel Required - Occasional travel opportunities (0-10%). Opportunity to Work on Cutting-Edge AI Solutions in a mission-driven healthcare technology environment. Video cameras must be used during all interviews, as well as during the initial week of orientation The pay range for this position is $147,200.00 - $210,300.00 per year, however, the base pay offered may vary depending on geographic region, internal equity, job-related knowledge, skills, and experience among other factors. Put your passion to work at Gainwell. You'll have the opportunity to grow your career in a company that values work flexibility, learning, and career development. All salaried, full-time candidates are eligible for our generous, flexible vacation policy, a 401(k) employer match, comprehensive health benefits, and educational assistance. We also have a variety of leadership and technical development academies to help build your skills and capabilities. We believe nothing is impossible when you bring together people who care deeply about making healthcare work better for everyone. Build your career with Gainwell, an industry leader. You'll be joining a company where collaboration, innovation, and inclusion fuel our growth. Learn more about Gainwell at our company website and visit our Careers site for all available job role openings. Gainwell Technologies is an Equal Opportunity Employer, where all qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical condition), age, sexual orientation, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Gainwell Technologies defines "wages" and "wage rates" to include "all forms of pay, including, but not limited to, salary, overtime pay, bonuses, stock, stock options, profit sharing and bonus plans, life insurance, vacation and holiday pay, cleaning or gasoline allowances, hotel accommodations, reimbursement for travel expenses, and benefits.

Be part of a team that unleashes the power of leading-edge technologies to help improve the health and well-being of those most vulnerable in our country and communities. Working at Gainwell carries its rewards. You'll have an incredible opportunity to grow your career in a company that values work flexibility, learning, and career development. You'll add to your technical credentials and certifications while enjoying a generous, flexible vacation policy and educational assistance. We also have comprehensive leadership and technical development academies to help build your skills and capabilities. Summary Own the target-state and transition architecture for modernized Medicaid DDI and Provider Plus capabilities. Set architecture direction and AI-enabled engineering guardrails across applications, data, integrations, cloud, security, platform delivery and operations, balancing client commitments, scalability, risk, cost and maintainability. Your role in our mission Professional CapabilitiesArchitecture governance, roadmaps, cost optimization and executive communication.Leadership across product, delivery, client and vendor stakeholders. What we're looking for 12 or more years in application architecture or product engineering.Architecture leadership for complex enterprise, SaaS or cloud-native platforms across the full SDLC.Deep experience with applications, APIs, integrations, data, security, DevSecOps, reliability and modernization.Medicaid, Medicare, MMIS/MES or highly regulated industry experience preferred. Modernized DDI Technical Skills Application architecture: React/TypeScript, .NET 10/ASP.NET Core, microservices, serverless, DDD, distributed systems and API lifecycle. Cloud and data: AWS Lambda, API Gateway, S3, SQS, Glue/Spark, MSK/Kafka, EKS, PostgreSQL, canonical models and reconciliation. Platform and reliability: Terraform, containers, Git, CI/CD, OpenTelemetry, SRE, high availability, disaster recovery, SLAs and SLOs. Security architecture: OIDC/OAuth, SSO, MFA, RBAC, secrets, encryption, tenant isolation, zero trust and HIPAA, PHI/PII protection, OWASP, Section 508/WCAG, secure SDLC and DevSecOps. Modernization: Multi-tenant SaaS, multi-version support, adapter/strangler patterns, functional parity and production adoption. AI-Driven Delivery Skills Define enterprise guardrails for approved AI development tools, including GitHub Copilot, Codex or comparable platforms, covering permitted use, data boundaries, review and evidence requirements. Architect AI-assisted software-delivery patterns for code generation, test generation, specification-to-code workflows, legacy analysis and modernization, without bypassing SDLC controls. Evaluate AI-generated designs and code for architecture alignment, security, quality, performance, maintainability, licensing/provenance and operational risk. Define human-in-the-loop controls, traceability, evaluation criteria, quality gates and escalation paths for AI-assisted engineering decisions. Use blended AI-driven analysis to synthesize requirements, architecture dependencies, release impacts and modernization options while validating conclusions against authoritative sources. Assess AI tool/vendor fit, integration, identity, privacy, auditability, cost and lifecycle risk; communicate recommendations to governance and executive stakeholders. What you should expect in this role The pay range for this position is $118,800.00 - $169,700.00 per year, however, the base pay offered may vary depending on geographic region, internal equity, job-related knowledge, skills, and experience among other factors. Put your passion to work at Gainwell. You'll have the opportunity to grow your career in a company that values work flexibility, learning, and career development. All salaried, full-time candidates are eligible for our generous, flexible vacation policy, a 401(k) employer match, comprehensive health benefits, and educational assistance. We also have a variety of leadership and technical development academies to help build your skills and capabilities. We believe nothing is impossible when you bring together people who care deeply about making healthcare work better for everyone. Build your career with Gainwell, an industry leader. You'll be joining a company where collaboration, innovation, and inclusion fuel our growth. Learn more about Gainwell at our company website and visit our Careers site for all available job role openings. Gainwell Technologies is an Equal Opportunity Employer, where all qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical condition), age, sexual orientation, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Gainwell Technologies defines "wages" and "wage rates" to include "all forms of pay, including, but not limited to, salary, overtime pay, bonuses, stock, stock options, profit sharing and bonus plans, life insurance, vacation and holiday pay, cleaning or gasoline allowances, hotel accommodations, reimbursement for travel expenses, and benefits.

Be part of a team that unleashes the power of leading-edge technologies to help improve the health and well-being of those most vulnerable in our country and communities. Working at Gainwell carries its rewards. You'll have an incredible opportunity to grow your career in a company that values work flexibility, learning, and career development. You'll add to your technical credentials and certifications while enjoying a generous, flexible vacation policy and educational assistance. We also have comprehensive leadership and technical development academies to help build your skills and capabilities. Summary Own the target-state and transition architecture for modernized Medicaid DDI and Provider Plus capabilities. Set architecture direction and AI-enabled engineering guardrails across applications, data, integrations, cloud, security, platform delivery and operations, balancing client commitments, scalability, risk, cost and maintainability. Your role in our mission Professional CapabilitiesArchitecture governance, roadmaps, cost optimization and executive communication.Leadership across product, delivery, client and vendor stakeholders. What we're looking for 12 or more years in application architecture or product engineering.Architecture leadership for complex enterprise, SaaS or cloud-native platforms across the full SDLC.Deep experience with applications, APIs, integrations, data, security, DevSecOps, reliability and modernization.Medicaid, Medicare, MMIS/MES or highly regulated industry experience preferred. Modernized DDI Technical Skills Application architecture: React/TypeScript, .NET 10/ASP.NET Core, microservices, serverless, DDD, distributed systems and API lifecycle. Cloud and data: AWS Lambda, API Gateway, S3, SQS, Glue/Spark, MSK/Kafka, EKS, PostgreSQL, canonical models and reconciliation. Platform and reliability: Terraform, containers, Git, CI/CD, OpenTelemetry, SRE, high availability, disaster recovery, SLAs and SLOs. Security architecture: OIDC/OAuth, SSO, MFA, RBAC, secrets, encryption, tenant isolation, zero trust and HIPAA, PHI/PII protection, OWASP, Section 508/WCAG, secure SDLC and DevSecOps. Modernization: Multi-tenant SaaS, multi-version support, adapter/strangler patterns, functional parity and production adoption. AI-Driven Delivery Skills Define enterprise guardrails for approved AI development tools, including GitHub Copilot, Codex or comparable platforms, covering permitted use, data boundaries, review and evidence requirements. Architect AI-assisted software-delivery patterns for code generation, test generation, specification-to-code workflows, legacy analysis and modernization, without bypassing SDLC controls. Evaluate AI-generated designs and code for architecture alignment, security, quality, performance, maintainability, licensing/provenance and operational risk. Define human-in-the-loop controls, traceability, evaluation criteria, quality gates and escalation paths for AI-assisted engineering decisions. Use blended AI-driven analysis to synthesize requirements, architecture dependencies, release impacts and modernization options while validating conclusions against authoritative sources. Assess AI tool/vendor fit, integration, identity, privacy, auditability, cost and lifecycle risk; communicate recommendations to governance and executive stakeholders. What you should expect in this role The pay range for this position is $118,800.00 - $169,700.00 per year, however, the base pay offered may vary depending on geographic region, internal equity, job-related knowledge, skills, and experience among other factors. Put your passion to work at Gainwell. You'll have the opportunity to grow your career in a company that values work flexibility, learning, and career development. All salaried, full-time candidates are eligible for our generous, flexible vacation policy, a 401(k) employer match, comprehensive health benefits, and educational assistance. We also have a variety of leadership and technical development academies to help build your skills and capabilities. We believe nothing is impossible when you bring together people who care deeply about making healthcare work better for everyone. Build your career with Gainwell, an industry leader. You'll be joining a company where collaboration, innovation, and inclusion fuel our growth. Learn more about Gainwell at our company website and visit our Careers site for all available job role openings. Gainwell Technologies is an Equal Opportunity Employer, where all qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical condition), age, sexual orientation, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Gainwell Technologies defines "wages" and "wage rates" to include "all forms of pay, including, but not limited to, salary, overtime pay, bonuses, stock, stock options, profit sharing and bonus plans, life insurance, vacation and holiday pay, cleaning or gasoline allowances, hotel accommodations, reimbursement for travel expenses, and benefits.

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. We are seeking a highly skilled and experienced AI Systems Engineer to join our team. This is a hands-on, senior individual contributor role that will be pivotal in leading the development, operations, and support of our entire AI infrastructure. You will be responsible for the entire lifecycle of our AI systems, from architecting and building high-performance GPU clusters to deploying and optimizing our most advanced AI models and agentic services. Responsibilities AI Infrastructure Architecture & Strategy: Lead the design and implementation of our next-generation AI infrastructure to support our Agentic AI initiatives. You will define the technical strategy for our on-premise GPU clusters, storage solutions, and networking to ensure optimal performance, scalability, and reliability for all our AI workloads. Cloud AI Service Integration: Support and secure the use of public cloud AI services, including Azure OpenAI services and Google Cloud Platform (GCP) services like Gemini. This includes managing secure access, monitoring usage, and tracking billing to ensure cost-effectiveness. You will also have hands-on experience supporting compute, GPUs, and AI services on both GCP and Azure. Hands-on GPU Cluster Management: Take a leadership role in the configuration, installation, and optimization of GPU server clusters. This includes advanced troubleshooting of hardware and software, performance tuning, and implementing best practices for cluster utilization and resource management. You will be an expert in administering job schedulers like LSF in a production environment, including integration with Docker for containerized job submission. Full-Stack AI Tech Stack Development & Operations: Architect and deploy a robust and scalable AI tech stack. You will be responsible for the end-to-end operational lifecycle, including setting up and managing deep learning frameworks (PyTorch, TensorFlow), containerization with Docker and Kubernetes, and implementing CI/CD pipelines for AI model development. Advanced LLM Deployment & Optimization: Lead the deployment, serving, and optimization of Large Language Models (LLMs). You will be an expert in techniques such as model quantization, distillation, and using high-performance serving frameworks (e.g., vLLM, TGI, TensorRT-LLM) to maximize inference throughput and minimize latency. Agentic AI Workflow & Service Engineering: Architect and build production-grade Agentic AI workflows and services. You will be responsible for the technical design and implementation of systems that integrate LLMs with external tools, APIs, and databases, and will mentor other engineers on building robust and scalable AI agent applications. Automation & Monitoring: Develop and maintain automation scripts using languages like Python, Bash, or Perl to streamline system maintenance, deployment, and reporting. Implement and manage monitoring solutions for system health, job statuses, GPU utilization, and container performance to proactively identify and resolve issues. AI Systems Support & Mentorship: Act as the final escalation point for the most complex technical issues related to our AI infrastructure. You will also serve as a technical leader and mentor to other engineers, providing guidance on best practices in AI systems engineering, performance tuning, and operational excellence. Security and Compliance: Develop and implement security best practices for our AI systems and data, ensuring compliance with relevant regulations and protecting our intellectual property. Required Skills and Qualifications 10+ years of experience in a senior technical role, with at least 5 years focused on building and operating high-performance computing or AI infrastructure. Proven track record as a Principal or Senior Staff Engineer. Expert-level knowledge of NVIDIA GPU architecture and technologies like CUDA and cuDNN. Extensive experience with multi-GPU and multi-node training and inference. Proven experience with public cloud AI services, specifically managing access, usage, and billing for Azure OpenAI and Google Cloud Platform (GCP) services. Extensive hands-on experience with Docker: image management, container orchestration, and troubleshooting. Proficiency in scripting languages such as Python, Bash, or Perl. Deep expertise in Linux system administration (RHEL preferred), including networking, storage, and performance tuning. Familiarity with user authentication and integration using systems like LDAP or Active Directory. Strong problem-solving and communication skills with the ability to work in a multi-platform, cross-functional, and geographically distributed team. Preferred/Bonus Skills Understanding of AI job profiling and tuning (memory, GPU, I/O). Experience administering LSF clusters in a production or research environment. Familiarity with other job schedulers like Slurm is a plus. Experience with LSF Docker integration and job submission using container images. Experience with macOS/AppleSilicon system admin tasks and troubleshooting. The annual salary range for California is $136,500 to $253,500. You may also be eligible to receive incentive compensation: bonus, equity, and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the salary range is a guideline and compensation may vary based on factors such as qualifications, skill level, competencies and work location. Our benefits programs include: paid vacation and paid holidays, 401(k) plan with employer match, employee stock purchase plan, a variety of medical, dental and vision plan options, and more. We're doing work that matters. Help us solve what others can't.

Job Description: Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world's largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection . Schedule & Location : This is an onsite position based at our corporate headquarters in Johnston, RI, with the flexibility to work from home two days per week, depending on business needs . Relocation is not offered for this position . Position Summary The Enterprise AI Security Engineer is a senior technical role responsible for enabling the secure adoption of AI capabilities across the organization. This role defines and evolves security and risk requirements for enterprise AI capabilities, in addition to designing and implementing the supporting controls. The role operates at the intersection of cybersecurity, platform engineering, and emerging AI technologies, supporting enterprise AI solutions such as Microsoft Copilot, Claude, and internally developed or platform-based agentic AI systems, including Azure AI Foundry. The role translates emerging AI risks, security expectations, and enterprise requirements into clear, actionable, and scalable security patterns that can be consistently applied across platforms. The incumbent serves as a hands-on technical leader and subject matter expert, partnering with platform, engineering, and product teams to design, evaluate, and implement security capabilities for AI systems, while establishing standards and guidance for ongoing operations. In areas where security owns and administers the relevant controls, this role leads tool selection , control design, and implementation, with other teams potentially supporting day-to-day operations. In areas where security is not the system owner, this role consults with platform teams to ensure systems are configured and administered appropriately and effective security guidance is defined and applied. Role Emphasis This is a hands-on leadership role for someone who can define the security model for enterprise AI, not just implementing requirements provided by others. The successful candidate should be able to identify AI-related security risks, develop clear requirements and guardrails, and help teams implement those controls in a practical and scalable way. The role requires strong security engineering judgment, practical AI understanding, and the ability to balance risk reduction with business enablement. Key Responsibilities Lead the definition, design, and implementation of security capabilities that enable secure enterprise AI adoption across platforms such as Microsoft Copilot, Claude, and agentic AI frameworks. Define security and risk requirements for enterprise AI platforms and agent-based systems. Translate security, risk, and regulatory expectations, including emerging AI risks, into clear technical controls, guardrails, and implementation patterns aligned to relevant industry frameworks and enterprise requirements. Partner with AI platform, engineering, and product teams to embed security requirements and controls into architecture, design, delivery, and operations. Conduct security reviews and threat modeling for AI use cases, agent workflows, integrations, and platform capabilities to identify required controls before production deployment. Define and guide implementation of controls related to AI agent identity, tool and API access, data usage constraints, auditability, and agent behavior in enterprise environments. Lead evaluation, proof-of-concept, and selection of activities for native and third-party capabilities that support AI security, governance, and control objectives . Assess integration requirements across enterprise identity, logging, monitoring, data protection, and security tooling. Drive cross-functional implementation efforts involving security, platform, engineering, and product teams to operationalize AI security capabilities and supporting processes. Maintain practical standards, guidance, and best practices for secure AI deployment, configuration, and ongoing platform administration. Provide consultation and technical direction where security is not the system owner, ensuring effective security requirements are defined and applied. Qualifications: 7+ years of experience in information technology or cybersecurity, including at least five years in security engineering or a related technical area such as cloud security, identity and access management, data protection, application security, security operations, vulnerability management, incident response, or platform security. Hands-on experience designing and implementing security controls in modern environments, including cloud platforms, APIs, identity systems, data protection, and monitoring. Experience defining security requirements, standards, guardrails, or control frameworks in complex enterprise environments. Practical experience or strong working knowledge of AI or LLM-based systems, including their behavior, risks, and security implications. Experience partnering with engineering and platform teams to integrate security into architecture, design, delivery pipelines, and operations. Demonstrated ability to evaluate technologies and guide technical decision-making. Experience operating in complex, cross-functional environments and driving initiatives from concept through implementation. Familiarity with Azure-based platforms and services, including Azure AI Foundry or related capabilities, preferred. Exposure to enterprise AI platforms such as Microsoft Copilot, Claude, or similar platforms, preferred. Skills Strong technical knowledge of cybersecurity principles, including identity and access management, data protection, monitoring, secure architecture design, and security operations. Strong understanding of AI and LLM-related risks, including data exposure, prompt manipulation, unsafe tool use, misuse of agent capabilities, and auditability challenges. Ability to develop security and risk requirements from ambiguous or emerging technology risks. Ability to translate security requirements into practical engineering solutions, configurations, and implementation patterns. Familiarity with industry frameworks and guidance such as NIST Risk Management Framework, MITRE ATLAS, OWASP Top 10, and OWASP guidance for large language model applications. Strong analytical, problem-solving, and communication skills. Ability to work independently and collaboratively across teams. Education and Certifications Bachelor's degree in information security, Computer Science, Information Technology, or related field (Equivalent experience may be considered) Relevant certifications, such as CISSP, CISM, Security+, GIAC, or cloud security certifications, preferred . The hiring range for this position is $121,000 - $198,000. The final salary offer will vary based on geographic location, individual education, skills, and experience. The position is eligible to participate in FM's comprehensive Total Rewards program that includes an incentive plan, medical, dental and vision insurance, life and disability insurance, well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, and time off, including vacation and sick time. FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity The Application Support Engineer serves as a Tier 2 (L2) technical support resource within the Association's Production Management organization. This role is responsible for monitoring, troubleshooting, incident resolution, service restoration, and operational support for critical business applications and services across the enterprise technology landscape. Working closely with the Availability Command Center (ACC), Tier 1 Operations, Application Engineering teams, Infrastructure teams, and external vendors, this position provides technical expertise for application incidents, operational issues, and service stability initiatives. The engineer investigates and resolves application performance issues, system alerts, batch processing failures, integration problems, middleware issues, and production incidents impacting business operations. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position is based in San Antonio, TX. Relocation assistance is not available for this position. What You'll Do: Design, develop, test, and implement technical solutions that support business objectives. Write, maintain, and enhance code to deliver new features, system improvements, and ongoing product enhancements. Troubleshoot, and resolve technical issues and production incidents to ensure system reliability and performance. Analyze systems and processes to identify opportunities for improvement and drive operational efficiency. Define technical specifications, standards, and requirements that support scalable and sustainable applications Follow established Software Development Lifecycle (SDLC) practices, including requirements gathering, development, testing, deployment, and maintenance. Ensure risks associated with business activities are appropriately identified, assessed, monitored, and managed in accordance with organizational risk and compliance standards. What You Have: Bachelor's degree; OR 4 years of relevant education and/or experience. Basic Understanding of one or more of the following: Java, Swift, Objective-C, JavaScript, Kotlin, C++, HTML, CSS, SQL, Go, and Python, Mainframe technologies including COBOL, JCL, CICS, DB2, IMS, MQ, and z/OS.+ Experience with enterprise monitoring and observability tools such as Splunk, Dynatrace, Datadog, New Relic, Grafana, AppDynamics, Azure Monitor, or similar platforms. Ability to analyze logs, traces, metrics, and application performance data to identify service degradation and outage conditions. Familiarity with Kubernetes, OpenShift, Docker containers, and microservice-based applications. Understanding of API-driven architectures and integration technologies. Experience with ServiceNow, Jira, Confluence, or similar operational platforms. Understanding of Incident, Problem, Change, Event, and Knowledge Management processes. What Sets You Apart: 2+ years of experience supporting enterprise applications, infrastructure, cloud platforms, or production environments, including troubleshooting across multiple technology domains. Experience in an Enterprise Availability Command Center (ACC), Production Operations, Site Reliability Engineering (SRE), or comparable service restoration environment, with direct involvement in high-severity incident response and recovery activities. Strong analytical and problem-solving skills, with the ability to correlate monitoring, logging, and operational data to diagnose issues and restore critical business services. Working knowledge of observability, automation, service resiliency, SRE principles, and operational process improvement. Experience working within Incident Management processes and operational support procedures, with the ability to coordinate technical teams and communicate effectively during service disruptions. Experience supporting highly regulated industries such as financial services, insurance, or healthcare; ITIL Foundation certification and Azure or AWS certifications preferred. US military experience gained through military service or gained as a military spouse / domestic partner Compensation range: The salary range for this position is: $ 77,120.00 - $ 147,390.00 . USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Description Job Description ABOUT ROCKET LAB Rocket Lab is the end-to-end space company building rockets, spacecraft, and critical subsystems that keep the world connected, protected, expand humanity's reach to the Moon, Mars, and beyond. We move fast, build real hardware for meaningful missions, and make the impossible routine. Come shape the future with us. SPACE SYSTEMS At Rocket Lab, we're not just launching rockets - we're building the future of space. Our Space Systems team builds everything from complete spacecraft, precision payloads to the components and subsystems that allow them to thrive in space, like solar panels, flight software, star trackers, optical systems, separation systems, radios, and more. Our Space Systems team has enabled more than 1,700 missions, ranging from interplanetary exploration, in-space manufacturing to national security and defense initiatives. The team has built spacecraft, payloads, and components for missions to the Moon and Mars, working with partners including NASA, the Space Development Agency, and the U.S. Space Force. Whether it's a single high-performance spacecraft, constellation, or the vertically integrated components that help them get to space - our world class Space Systems team is empowering some of the boldest and most ambitious space missions PRINCIPAL SPACECRAFT OPERATIONS ENGINEER II- SECRET CLEARANCE Based on site at Rocket Lab's headquarters in Long Beach, CA the PrincipalSpacecraft Operations Engineer is responsible for ensuring the health, safety, and optimal performance of a growing fleet of satellites while meeting mission objectives and SLAs for both commercial and government customers. This includes supporting diverse missions such as LEO constellations, interplanetary exploration, LEO rendezvous, and SDA-related deployments. Your expertise would be critical during commissioning, orbit raising, routine operations, and potentially re-entry phases, ensuring the health and safety of Rocket Lab's expanding fleet. The Spacecraft Operations team works closely with related teams, such as spacecraft design, AIT, flight software, propulsion, GNC, flight dynamics and ground software development to help improve both the ground and satellite-based capabilities over time. The space operations experience at Rocket Lab is unique because you will cover a multitude of roles/positions and responsibilities, with the large majority of the technical products being supplied through the vertical integration/in-house. WHAT YOU'LL GET TO DO: Serve as the program's mission operations technical lead: set the technical direction and strategy for operations, plan and prioritize the work of the mission operations staff, and act as the primary operations point of contact for program-level design decisions and trades Advocate for operability across the program: influence spacecraft and ground architecture upstream so vehicles are designed to be operated safely, efficiently, and autonomously, and push for changes to program design and execution when operational needs demand it Own mission operations requirements and lead requirements validation and verification for spacecraft missions and system-level capability and function Define the automation strategy and lead the development of robust, software-driven methods for mission operations, testing, and data analysis to ensure efficient, repeatable, and reliable spacecraft operation Design, develop, and test flight software sequences and FDIR/telemetry configurations to ensure spacecraft health and fault management through software-driven processes Architect, develop, and test ground software for long-duration operations, including scripting and automation frameworks that make operations robust, hands-off, and scalable across a growing fleet Establish and steward the integration, testing, and maintenance of mission operations tooling and codebases, including CI, version control, and release discipline. Ensure the on-call or shift schedules of operations Author and own interface specifications, CONOPS, contingency procedures, and other operational design documents Lead validation of flight products and procedures against spacecraft simulation tools, including flatsat, HITL, SIL, and digital twins Support AIT teams across multiple spacecraft integrated tests (TVAC, propulsion stack, DITL Provide program and product support to team leads and program managers, and serve as a key technical interface between the NZ and USA engineering teams Represent mission operations in program milestone reviews, design reviews, and readiness gates, and drive continuous improvement through post-mission lessons learned YOU'LL BRING THESE QUALIFICATIONS AS A PRINCIPALSPACECRAFT OPERATIONS ENGINEER: Bachelor's degree in engineering (software, computer, electrical, aerospace, mechanical, or other technical engineering discipline) 12+ years of direct experience in any of the following: space mission design, satellite subsystems, ground systems, spacecraft command control, or spacecraft operations 5+ years of experience leading teams of engineers through spacecraft missions or related aerospace projects Previous experience in roles such as Mission Lead, Mission Director, Flight Director, or Senior Spacecraft Operations Engineer Previous experience supporting mission operations activities in an on-console or operator-in-the-loop capacity Thorough understanding of key spacecraft subsystems and associated components, including attitude determination and control systems (ADCS), electrical power systems (EPS), space-to-ground communications, command and data handling (C&DH), thermal control systems (TCS), spacecraft propulsion systems, and fault detection, isolation, and recovery (FDIR) Understanding of the space environment, orbital mechanics, and rigid body dynamics 5+ years of direct software development experience (Python/Ruby/C/C++/other high-level languages), covering items such as spacecraft onboard flight scripts, ground scripting and automation, and data manipulation and analysis US citizenship is required due to program requirements Active U.S. Government Secret Security Clearance THESE QUALIFICATIONS WOULD BE NICE TO HAVE: Master's or PhD engineering in engineering (software, computer, electrical, aerospace, mechanical, or other technical engineering discipline) Prior experience in spacecraft operations Prior experience in satellite system design Prior experience in satellite ground systems Exposure to modern development practices - GIT, CI/CD, cloud infrastructure Proficiency with Agile issue-tracking tools, specifically Jira, for mission task management, status tracking, and bug reporting Software-in-the-Loop (SIL) Testing: Exposure to testing frameworks that simulate software behavior in operational environments. Hardware-in-the-Loop (HIL) Testing: Familiarity with testing frameworks that integrate software and hardware systems. Active TS/SCI U.S. Government Security Clearance This position may require prolonged periods of sitting, standing, walking, computer work, and occasional exposure to moderate levels of noise, dust, and fumes in production areas Anticipated annual equity grant value is designed around function, level, experience, and other factors; realized value depends on vesting and stock-price performance. Join one of the world's fastest-growing space companies and own a piece of it. In addition to competitive base pay, you'll receive company stock as part of your total compensation package, giving you a direct stake in our success. As we expand to new launch sites, groundbreaking missions, and global markets, your ownership has the opportunity to grow alongside the company. Our comprehensive benefits package includes our industry-leading Employee Stock Purchase Program (with a 15% discount on company stock), top-tier medical plans (HMO, PPO, and a zero cost HDHP option with a significant HSA company contribution), dental and vision coverage, paid vacation and sick time, 11 paid holidays, flexible spending and dependent care accounts, paid parental leave, disability and life insurance, and a 401(k) retirement plan with company match. Additional perks include subsidized EV charging, onsite fitness centers (where available), discounted gym memberships, complimentary snacks and beverages, 50% employee discount on our popular merch store, and a variety of other employee discounts. Level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Total Compensation (base and equity) $223,025-$339,400 USD Base Salary $173,300-$259,850 USD WHAT TO EXPECT We're on a mission to unlock the potential of space to improve life on Earth, but that's not an easy task. It takes hard work, determination, relentless innovation, teamwork, grit, and an unwavering commitment to achieving what others often deem impossible. Our people out-think, out-work, and out-pace. We pride ourselves on having each other's backs, checking our egos at the door, and rolling up our sleeves on all tasks big and small. We thrive under pressure, work to tight deadlines, and our focus is always on how we can deliver, rather than dwelling on the challenges that stand in the way. Important information: . click apply for full job details

Job Description Job Description Job Description ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED In this role, you will serve as the heartbeat of our technical stack-integrating, installing, configuring, upgrading, compiling, and sustaining complex COTS/GOTS software in a highly diverse, heterogeneous operating environment. You won't just keep systems running; you'll take true software product ownership for advanced HPC tools, execute benchmark test codes to characterize system performance, develop dynamic custom tool plugins, and guide the optimal HPC configuration tailored to real-world customer needs. If you love deep-dive troubleshooting, switching flexibly across architectural paradigms, and bringing your authentic self to solve tough defense tech problems, Team Nyla wants you on the front lines with us! The annual base salary range for this role is $212,000-$251,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things. , Required Skills COTS/GOTS Software Integration: Mastery in integrating, installing, configuring, upgrading, compiling, and supporting complex COTS and GOTS software components in heterogeneous OS environments. Linux Administration Scripting: Strong foundational Linux system administration skills and advanced shell scripting capability for automation and environment management. HPC Tool Product Ownership Configuration: Demonstrated ability to provide product ownership for High-Performance Computing (HPC) tools and determine optimal configurations aligned to mission demands. Plugin Development Customization: Proven experience developing custom software tool plugins in the target programming language of the hosted tools. Testing Performance Characterization: Capability to write and execute test codes to characterize software performance, optimize execution, and resolve issues. Tooling Documentation: Working knowledge of Configuration Management (CM) tools, web documentation platforms, and issue-tracking systems, along with full-stack software documentation skills. Education: Bachelor's Degree in Computer Science, Computer Engineering, Software Engineering, or a related technical discipline, PLUS 10+ years of professional software engineering experience OR Master's Degree in a related field, PLUS 8 + years of specialized software engineering experience OR High School Diploma / GED, PLUS 15+ years of hands-on technical software development and big data administration experience in lieu of a degree. , Desired Skills Deep experience adapting quickly in fast-paced environments and seamlessly transitioning across distinct architectural paradigms. Experience with HPC scheduler frameworks, distributed file systems, and specialized parallel processing architectures. Excellent collaborative communication, creative problem-solving skills, and a passion for continuous learning and technology leadership. , About Nyla Technology Solutions Nyla Technology Solutions delivers exceptional Artificial Intelligence (AI), Data Science, and Software Engineering services for the U.S. Government. Nyla embraces a forward-thinking and bold approach at every turn, earning us a solid reputation of technical trendsetters within the industry. We have a passion for developing solutions that have a quick and immediate impact on mission. Headquartered in Columbia, Maryland, our customers love how we tackle their most challenging problems and get things done. If you have the unique experience and expertise we are seeking, along with the desire and determination to invest your time and energy as a part of Nyla's team, Taking Care of All of You Nyla provides a top-of-market compensation and benefits package. And through our unique Nyla FLEX program, we custom tailor these benefits to best fit your lifestyle. The Nyla FLEX benefit program is designed to offer you flexibility in the 3 biggest areas of your life: your pay, your leave, and your schedule. PAY - Nyla starts with 4 weeks of Annual Leave plus 11 holidays and an additional day of Annual Leave for each year you're at the company. You have the flexibility to cash out your annual leave hours, opt out of other Nyla benefits, and/or arrange for additional hours on contract (over 40 hrs/week). There's even an option to earn 1.3 times your hourly rate once you work over 1880 hours on contract! LEAVE - Want to spend more time with the family? Want more time to travel the world? You can BUY additional annual leave for a total of 6 weeks of annual leave. That's up to 240 hours of leave plus 11 holidays! That's not even including paid anniversary leave! SCHEDULE - Does the traditional 40-hour workweek no longer fit your lifestyle? With Nyla FLEX, you have the freedom to scale down to 30-32 hours while still enjoying the top-notch Nyla benefits you know and love. It's flexibility that works for you without compromising the perks! WHAT ABOUT OTHER BENEFITS? Nyla's health care (medical, dental, and vision) is 100% covered by the company. We provide 10% 401k matching - with full vesting day 1! Our Professional Development offers $5,000 per year to be used towards fees, tuition, or time off for your continued growth. We even have a student loan repayment program and we provide 8 hours of volunteering annually so you can support your community, making your world a better place. To learn more about Nyla's culture and our exceptional benefit packages click here. Nyla is an equal opportunity employer.

Job Description Job Description Principal GNC Engineer Location: Playa Vista, California (in-person, five days per week) The return lane isn't going to build itself. Come build it with us. Outpost is an orbital logistics company rewriting the rules of global logistics by building reusable Earth-return vehicles that unlock in-space manufacturing, on-orbit warehousing, and 60-minute global delivery through space. Our CarryAll vehicle family returns payloads ranging from 200 kilograms to 10 metric tons, lands within 10 meters of its target, and can then be refurbished and launched again. One vehicle, many missions: responsive logistics and precision delivery for national security; commercial cargo moved with real cadence; R&D payloads flown, tested, and refined across repeatable cycles; and critical aid delivered where roads and runways can't reach. The demand is already here, validated through defense and civil agreements and supported by a growing pipeline of government and commercial customers. We have the customers, the team, and a clear technical path ahead of us. We're building the return lane. Come build it with us The Role Outpost is building vehicles that bring things back from space. Getting mass from orbit to a precise point on the ground is a GNC problem end to end: a deorbit burn that has to hit an entry corridor, a hypersonic entry that has to bleed energy inside structural and thermal limits, and a guided descent that has to land on a target, repeatably, and cheaply enough to do it often. We're hiring a Principal GNC Engineer to own that chain. This is not a role where you hand algorithms over a wall. You'll design the guidance and estimation architecture, write the flight code, put it on hardware, sit through the HIL runs, go out to the drop tests and flight campaigns, and come back with data that changes the design. If you want to see your controller fly within months rather than years, this is that job. Basic Qualifications: Bachelor's degree in a related technical discipline with 5+ years as a GNC or Controls professional or Advanced degree with 3+ years as a GNC or Controls professional Software development experience in C++ and Python. Experience in software tools such as Git, Jira, and CI Pipeline Algorithms on real hardware (e.g. Extended Kalman Filters, LQR) Strong understanding of classical dynamics, modeling and simulation, classical and modern control. Ability to work in a fast paced, autonomously driven atmosphere. Passion for space and the application of advanced estimation and control techniques in this domain Additional Qualifications: Experience with implementing optimal control for burn planning Experience with satellite maneuvering and thruster systems Demonstrated project or professional experience in satellite attitude determination and control Experience in end-to-end development of three axis stabilized spacecraft incorporating momentum, magnetic, and/or propulsive control. Experience with flexible body control, orbital maneuvering, filtering, fault management, software development, and navigation filtering. Responsibilities: Modeling, design, analysis, implementation and test of satellite attitude determination and control (ADCS) algorithms. Hardware performance specification including reaction wheel and torque rod sizing, sensor noise and performance, characteristics, redundancy and fault management. Define and own ADCS requirements definition with electrical and mechanical engineers Implement closed loop pointing, orbit raising, and station keeping algorithms for flight. Analyze platform stability to ensure low jitter of line-of-sight instruments. Develop high fidelity 6 degree of freedom satellite simulations using Python, Matlab or C++. Develop entry guidance, entry corridor and reachability analysis, deorbit burn targeting, aerothermal and load-constrained trajectory shaping. Develop EKF and UKF with GNSS, IMU, air data, radar or laser altimetry, magnetometers, and optical or terrain-relative sensors; sensor error modeling and calibration; GNSS-denied or degraded navigation, including through plasma blackout. Implement control of aerodynamically unstable or marginally stable vehicles, gain scheduling and robust control across wide Mach and dynamic pressure ranges, actuator and effector allocation, autonomous mode sequencing and abort logic. Support flight test campaigns at test sites - test planning, instrumentation requirements, real-time support, and flight data reconstruction. Compensation & Benefits: Salary: Principal: $190,000- $225,00, based on experience Additional Compensation: Annual performance-based bonuses that reward your impact. Shared upside: Meaningful equity in Outpost so you share directly in the value you help create. Comprehensive healthcare: Medical, dental, and vision coverage to keep you and your loved ones covered. We cover the base tier of medical insurance and all premiums of vision and dental. Protection when it matters: Company-provided short- and long-term disability coverage for peace of mind, plus life insurance for even more security. PTO: Recharge on your own terms with paid time off, plus 9 days of paid holidays. Invest in your future: 401(k) with company match to help you build long-term wealth. Fueled for the mission: Daily DoorDash lunch stipend, plus unlimited snacks, coffee, and tea to keep you energized. Mission that matters: Work shoulder-to-shoulder with leaders from aerospace, new space, and deep-tech industries building the future of orbital infrastructure. Pet Friendly Office: Bring your furry friend into the office so that they can be a part of our mission too. Monthly Company Happy Hours and Events: Drinks at the local bar, hibachi nights, mini golfing and more! You must be a U.S. citizen or lawful permanent resident of the U.S., protected individual as defined by 22 C.F.R. 120.15 , or eligible to obtain the required authorizations from the U.S. Department of State

Job Description Job Description Antora Energy delivers affordable, reliable energy to industry, data centers, and the grid. Our thermal batteries turn low-cost electricity into always-on heat and power, without supply-constrained critical minerals or multi-year construction timelines. We are growing our company with people who put team and mission first, value connection through laughter and joy, and work with humility and openness. We are committed to building a diverse, passionate, and creative team dedicated to a future powered by abundant, clean, low-cost energy. Position Summary We are seeking a Staff or Principal Applications Engineer to establish Antora's applications engineering function - the senior technical authority for the customer opportunities that don't fit a standard template. Antora's standard configurations run through repeatable tools and playbooks operated by our business development team; you will own everything that doesn't: the first-of-a-kind applications, constrained sites, and novel configurations of Antora's thermal batteries across industrial process heat and utility-scale power for data centers and the grid, in the U.S. and internationally. When we dive into a new customer application, you are the engineer who joins the first call, earns the trust of senior customer technical leadership, and creatively develops the solution around Antora's product: running technical discovery, sizing and configuring the system, producing conceptual site layouts and heat and power integration designs, setting the technical basis for performance guarantees, and building the cost estimates behind commercial contracts and investment decisions, then handing a clean basis of design to our project engineering team for detailed design and execution. You are also the technical conscience on what Antora commits to, with the standing and judgment to hold the line on feasibility, schedule, and performance so we win deals we can actually deliver. This role will report to the VP of Product Management within Antora's Commercial team. Roles & Responsibilities Serve as the technical lead for Antora's most complex and novel customer opportunities across industrial heat, combined heat & power, and power applications - joining business development on sales calls and owning the technical conversation with customer engineering/operations teams and executives Run technical discovery on novel applications: own customer data requests (load profiles, steam conditions, utility data, plot plans, one-lines) and site walkdowns, and lead first-pass technical screening where no playbook exists Size and configure Antora's product at the edges of its configurable envelope (and beyond), creatively optimizing trade-offs across performance, cost, schedule, and site constraints Produce conceptual site layouts, heat and power integration designs, and site boundary-condition definitions Own configuration of complex customer, grid, and project interfaces for novel applications - including, but not limited to, controls integration, product-side electrical configuration, product-to-interconnection handoff, cybersecurity requirements, and energy market operations coordination Own performance-guarantee assumptions and proposal-stage analysis/cost estimates for commercial contracts and internal approvals with clear judgment on execution and economic impact Prepare basis-of-design handoff packages (configuration specs, layouts, integration concepts, assumptions, and risks) that enable project engineering to pick up projects cleanly for detailed design (FEED and beyond) Partner closely with product management to co-define where the standard product envelope ends and bespoke applications work begins, and keeping executive stakeholders aligned on what we're committing to Act as the technical escalation point and reviewer for the sales engineers who run standard opportunities - mentoring them and together with product management, setting the technical standards they work to Channel voice-of-customer and market intelligence back to product management to drive product changes that improve performance, customer satisfaction, and addressable market Codify design judgment into playbooks, reference designs, and design rules, partnering with software, analytics, and product management to turn them into tools and standard product requirements where applicable Typical travel of 25%, potentially including some international travel Key Qualifications Bachelor's or equivalent in mechanical, chemical, or electrical engineering (or related field) and 12+ years of experience (or 8+ with a relevant advanced degree) across utility-scale energy projects, large industrial facilities, and/or energy equipment applications Experience leading first-of-a-kind industrial and power projects, including managing executive stakeholders in external organizations Deep expertise in power systems (MV/HV electrical, synchronous and inverter-based resources, grid interconnection) with working fluency in industrial process/thermal systems (steam and utility systems, heat integration) - or the reverse - with genuine depth on at least one side and the range to engage customer engineers credibly in both Experience with energy storage and/or utility-scale energy projects, including site layout and equipment configuration Familiarity with the codes and standards governing industrial energy facilities - NFPA, NEC, ASME, API, UL, etc. Comfortable producing and reviewing PFDs, one-line diagrams, and site layout drawings Strong techno-economic intuition and commercial judgment - instinctively connects configuration trade-offs and performance guarantees to project economics Exceptional customer-facing communication and presentation skills AI-fluent: high level of comfort with leading AI tools (Claude, ChatGPT, Gemini, etc.) and strong instincts for which workflows to automate Self-directed operator who thrives owning a small number of deep, high-stakes projects in a fast-paced startup environment Additional Qualifications Desired Experience spanning both thermal/process and power/grid project environments Direct experience with data-center power, microgrids, or hybrid solar-plus-storage systems Prior applications, sales, or solutions engineering role at an energy technology OEM Solid understanding of energy market fundamentals and battery dispatch or techno-economic modeling Python proficiency Experience working with or for EPC firms Familiarity with industrial controls/SCADA integration and operational-technology (OT) cybersecurity Experience working on projects in international markets (particular preference for EU and Australia) Familiarity with European and/or Australian codes and standards Experience building commercial tools and automations PE license in a related discipline Work Location: Remote, US Salary Range: $175,000 USD - $240,000 USD Salary Basis: Annual Please note that the salary range listed above reflects Antora Energy's estimated pay for this position. The actual salary offered will be within the posted range and determined based on several factors including but not limited to a candidate's experiences, credentials and expertise, as they pertain to the position's requirements. In addition to a competitive base salary, Antora Energy's Total Rewards program includes equity compensation in the form of stock options, a premium health benefits package with life and disability insurance, a 401K plan with employer contributions, flexible spending accounts, and an industry leading paid-time-off policy that features flexible and inclusive holiday observance, as well as paid volunteer time off. When it comes to stopping climate change, we need everyone. We believe that having a diversity of backgrounds and experiences strengthens all of us, and we strive to create an environment where every one of us is empowered to create meaningful change.

Job Description Job Description Overview First Resonance builds the ION Factory OS - the operating system powering next-generation manufacturing for companies building rockets, satellites, eVTOLs, clean energy systems, robotics, and autonomous vehicles. We've invested heavily in forward-deployed engineers at the customer edge. Now we're strengthening the hub. We're hiring a Principal Platform Engineer to serve as a platform leader: someone with deep expertise in software infrastructure and architecture who has built and operated scaled, high-uptime systems . This person will help us scale our backend, raise our reliability and performance bar, and provide sharp technical judgment on infrastructure changes. What you'll do Own platform architecture at scale: Evaluate and evolve our backend architecture to support growth in customers, data volume, and product surface area. Drive reliability and uptime: Establish and improve reliability practices (SLOs/SLIs, incident response, postmortems, on-call effectiveness, capacity planning). Performance leadership: Identify systemic performance bottlenecks; lead initiatives across databases, APIs, caching, async processing, and observability. Review and de-risk change: Provide fast, high-quality technical assessment of infrastructure proposals and incoming changes (internal and vendor-driven). Build leverage for the team: Create scalable primitives (libraries, patterns, tooling, platform services) that enable product and forward-deployed teams to ship faster with less risk. Operational excellence: Improve monitoring, alerting, dashboards, deployment safety, and rollback strategies. Mentor and set the technical bar: Coach engineers on architecture, operational maturity, and high-quality execution; lead by example through hands-on delivery. Partner cross-functionally: Work closely with Product, Security, and field-deployed engineers to balance edge/customer urgency with platform durability. What success looks like (first 90 days) Produce a clear, prioritized platform assessment : current-state risks, near-term hardening plan, and a 6-12 month scaling roadmap. Reduce risk on critical paths by improving observability (service health, latency/error budgets, key dashboards) and deployment safety . Lead at least one high-impact initiative that materially improves uptime, performance, or developer velocity . Minimum qualifications 8+ years of professional software engineering experience, with significant time owning backend/platform systems in production. Demonstrated experience building and operating high-availability, high-uptime services (including incident response and postmortem culture). Strong systems thinking across distributed systems, databases, caching, queues, APIs, and cloud infrastructure. Track record of leading large technical initiatives across teams or across a complex codebase. Excellent written and verbal communication; able to explain tradeoffs clearly and drive alignment. Preferred qualifications Prior experience as a Staff/Principal Engineer (or equivalent scope) at a high-scale infrastructure org. Depth in one or more of: SRE / reliability engineering, performance engineering, database scalability, multi-tenant architectures, zero-downtime migrations. Experience building internal platforms that enable other engineers (tooling, CI/CD, shared services, paved roads). Experience in or affinity for manufacturing, industrial software, or hard-tech customer environments. Benefits & Perks Health Insurance; medical, vision, dental, & life insurance. Paid Parental Leave. Employee Stock Option Plan. Team outings, group lunches, open office, happy hours. Paid holidays, sick days. Flexible Friday and PTO. 401K. First Resonance is an equal opportunity employer dedicated to building an inclusive and diverse workforce. First Resonance participates in E-Verify. As part of our onboarding process, a new hire's Form I-9 information will be shared with the federal government to confirm they are authorized to work in the U.S. Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. First Resonance accelerates the speed and reliability of hardware development for companies manufacturing the next generation of hardware products. This includes space exploration, electric airplanes, autonomous vehicles, nuclear reactors, robotics, and more. We are a group of software, hardware, and manufacturing engineers that are bringing the best of modern UX and data science to an industry that has been overly rigid in its innovation. We are removing the barriers preventing radical advancement by providing tools to manufacturing engineers and operators to move information more freely, collaborate with their teams more easily, and use the power of data to predict problems and provide insights that result in better hardware quality and delivery. Compensation Range: $170K - $210K

Job Description Job Description We are a healthcare technology company that provides platforms and solutions to improve the management and access of cost-effective pharmacy benefits. Our technology helps enterprise and partnership clients simplify their businesses and helps consumers save on prescriptions. As a leader in SaaS technology for healthcare, we offer innovative solutions with integrated intelligence on a single enterprise platform that connects the pharmacy ecosystem. With our expertise and modern, modular platform, our partners use real-time data to transform their business performance and optimize their innovative models in the marketplace. Position Summary The Principal Platform Engineer owns the core engineering platform that every product team at RxSense builds on. As a direct report to the VP, Infrastructure Engineering, this role is accountable for the cloud infrastructure, CI/CD systems, developer tooling, and reliability practices that determine how confidently and how fast RxSense engineering can ship. This is a hands-on-keyboard, architect-level role, partnering with software engineers, AI engineers, security, and finance to build a platform that teams choose to build on rather than one they are required to use. Essential Duties and Responsibilities Design, build, and operate the core cloud infrastructure that supports RxSense engineering, including compute, networking, identity and access management, and container orchestration on AWS. Own the CI/CD platform used across engineering teams, including build pipelines, artifact management, environment promotion, progressive rollout, and rollback. Build and maintain the observability stack across the organization, including logging, metrics, distributed tracing, alerting, and the SLIs and SLOs that define reliable service. Drive infrastructure as code practices across the organization and manage the Kubernetes clusters, custom controllers, and operators that back production workloads. Partner with security and compliance to manage secrets, network policy, and access controls appropriate to a regulated healthcare and pharmacy benefits environment. Design self-service developer tooling and platform APIs and set the abstractions that let product and AI engineering teams' provision, deploy, and operate services without handholding. Own incident response tooling, on-call practices, and reliability engineering standards, and lead or support major incident response across the platform. Partner with engineering leadership and finance on infrastructure cost visibility, capacity planning, and cost optimization. Write documentation, runbooks, and clear interfaces so the platform is adoptable by other engineering teams without handholding. Participate in code review and promote collaboration and best practices, including simplicity, automation, sound design patterns, test coverage, and reusability. Work normal day business hours in the Eastern US time zone Education, Experience, and Competencies BS (or higher, e.g., MS or Ph.D.) in Computer Science or a related technical field involving coding, or equivalent technical experience. 8+ years of platform, infrastructure, or site reliability engineering experience, with demonstrated Staff, Principal, or Architect-level scope, such as owning platform architecture end to end or being accountable for critical production systems. We evaluate candidates on the scope and impact of their work rather than years of experience alone. Deep, hands-on experience designing and operating CI/CD pipelines for high-velocity engineering organizations, including artifact management, environment promotion, and progressive rollout. Strong AWS background, comfortable down to the IAM, networking, and container orchestration layers, including production Kubernetes experience. Experience with GitHub and GitHub actions. Proven track record building internal developer platforms or tools that other engineering teams adopted by choice, not by mandate. Hands-on coding fluency in Python, Go, or TypeScript. This is a keyboard role, not an architecture-only role. Comfortable operating in a polyglot environment. The RxSense engineering stack spans Python, .NET, and TypeScript, and you will support services across all three. Practical experience with infrastructure as code (such as Terraform, CloudFormation, or Pulumi) and modern observability tooling (such as Prometheus, New Relic, Grafana, Datadog, or Open Telemetry). Comfortable owning the cost and reliability conversation with both engineering leadership and finance partners. Strong written communication and a bias toward documentation, runbooks, and clear interfaces. Proven analytical thinking and problem-solving skills. Excellent communication skills, both verbal and written. Bonus Qualifications Experience supporting infrastructure for AI or LLM-powered workloads, including GPU provisioning, model serving, or agent runtime infrastructure. Background in healthcare, PBM, pharmacy, or another regulated data environment. Kubernetes operator experience or comfort building custom controllers. FinOps experience, particularly attributing infrastructure spend to features, teams, or business units. Familiarity with distributed systems tooling such as Kafka, gRPC, or Dragonfly and Redis. Experience with Agile development methodologies, preferably both Scrum and Kanban. Experience with code scanning, security, and quality checks as part of the CICD. Salary Range: $190,000 - $235,000 RxSense believes that a diverse workforce is a more talented and productive workforce. As such, we are an Equal Opportunity and Affirmative Action employer. Our recruitment process is free from discriminatory hiring practices and all qualified applicants are considered for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity, ancestry, age, or national origin. Neither will qualified applicants be discriminated against on the basis of disability or protected veteran status. We believe in the strength of the collaboration, creativity and sense of community a diverse workforce brings.

Job Description Job Description K2 is building the largest and highest-power satellites ever flown, unlocking performance levels previously out of reach across every orbit. Backed by over $1 billion in total funding from leading investors including Altimeter Capital, ICONIQ, Kleiner Perkins, Lightspeed Venture Partners, Redpoint Ventures, and T. Rowe Price - and with over $1 billion in signed contracts across commercial and US government customers, we're mass-producing the highest-power satellite platforms ever built for missions from LEO to deep space. The rise of heavy-lift launch vehicles is shifting the industry from an era of mass constraint to one of mass abundance, and we believe this new era demands a fundamentally different class of spacecraft. Engineered to survive the harshest radiation environments and to fully capitalize on today's and tomorrow's massive rockets, K2 satellites deliver unmatched capability at constellation scale and across multiple orbits. With multiple launches in 2027 and plans to scale to 100 satellites a year, we're Building Bigger - helping develop the solar system and build toward a Kardashev Type II (K2) civilization. If you are a motivated individual who thrives in a fast-paced environment and you're excited about contributing to the success of a high-growth Series D-funded company, we'd love for you to apply. The Role As K2's Crypto Engineer, you will own the architecture and design of our Type-1 cryptographic integrations across the spacecraft and ground segment. You will carry these designs cradle-to-grave - from concept and trade studies, through implementation and integration, to NSA certification and accreditation, and into on-orbit operations. You'll define how K2's satellites protect command, telemetry, and mission data; partner with NSA, government customers, and certification authorities; and ensure our COMSEC architecture meets the bar for national-security missions while fitting the pace and scale of a high-volume satellite production line. This is a foundational role: you'll set the cryptographic standards the rest of the program builds against. Responsibilities Own the end-to-end architecture and design of Type-1 cryptographic integrations across the spacecraft, payload, and ground segment Lead crypto designs from concept and trade studies through implementation, integration, certification, and on-orbit operations Define COMSEC architecture for command, telemetry, and mission data protection, including encryption, key management, and key loading approaches Serve as K2's primary technical interface to NSA, certification authorities, and government customers on cryptographic certification and accreditation Drive the certification and accreditation effort, developing the artifacts, test evidence, and documentation required to achieve and maintain approval to operate Partner with flight software, avionics, RF, ground, and security teams to integrate cryptographic functions into the broader system architecture Support COMSEC handling, key management planning, and operational procedures for on-orbit fleet operations Identify and mitigate cryptographic and supply-chain risks across design and production Establish reusable cryptographic standards, interfaces, and processes that scale across K2's satellite production line Qualifications Bachelor's degree or higher in electrical engineering, computer engineering, computer science, or a related discipline 5+ years of engineering experience with cryptographic systems, COMSEC, or secure communications Direct experience with NSA Type-1 cryptographic equipment, integration, and certification processes Working knowledge of key management, key loading, and COMSEC handling requirements Experience taking a hardware or system design through certification and accreditation to operational use Strong systems-level thinking with the ability to reason from first principles across hardware, software, and RF boundaries Ability to work in a fast-paced, autonomously driven, and demanding startup atmosphere with competing priorities and aggressive schedules Nice to Have Experience with spacecraft, satellite, or other space-system cryptographic integrations Familiarity with cryptographic modernization initiatives and current NSA-approved algorithms and equipment Experience with RMF/ATO, JSIG, or other accreditation frameworks Background in RF, link design, or secure command and telemetry systems Experience supporting on-orbit or fielded operations Additional Requirements Ability to travel up to 25% of the time Active Top Secret or Top Secret SCI clearance required; ability to obtain and maintain access to additional programs as needed Ability to work irregular business hours to support critical project timelines or operations This role requires access to information controlled under ITAR/EAR; applicants must be a U.S. Person as defined by applicable regulations Compensation and Benefits Base salary range for this role is $160,000 - $245,000 + equity in the company Salary will be based on several factors including, but not limited to: knowledge and skills, education, and experience level Comprehensive benefits package including paid time off, medical/dental/vision coverage, life insurance, paid parental leave, and many other perks If you don't meet 100% of the preferred skills and experience, we encourage you to still apply! Building a spacecraft unlike any other requires a team unlike any other and non-traditional career twists and turns are encouraged! If you need a reasonable accommodation as part of your application for employment or interviews with us, please let us know. Export Compliance As defined in the ITAR, "U.S. Persons" include U.S. citizens, lawful permanent residents (i.e., Green Card holders), and certain protected individuals (e.g., refugees/asylees, American Samoans). Please consult with a knowledgeable advisor if you are unsure whether you are a "U.S. Person." The person hired for this role will have access to information and items controlled by U.S. export control regulations, including the export control regulations outlined in the International Traffic in Arms Regulation (ITAR). The person hired for this role must therefore either be a "U.S. person" as defined by 22 C.F.R. 120.15 or otherwise eligible for a federally issued export control license. Equal Opportunity K2 Space is an Equal Opportunity Employer; employment with K2 Space is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

Job Description Job Description Who We Are: Aurelius Systems is a VC backed defense tech startup building autonomous, edge deployed directed energy systems for counter-UAS. We build laser weapons to shoot down drones. We're a small team of 10 engineers, former US military operators, and subject matter experts scaling America's directed energy dominance. The first cost effective, reliable and robust laser weapon system. Our namesake isn't an accident. Marcus Aurelius wrote about doing the work in front of you, every day, without excuses. Henry Ford didn't wait for permission to reinvent manufacturing. That's how we operate - small team, unreasonable output, no hiding behind the unachievable. In addition to our San Francisco lab, we opened our Detroit manufacturing hub and field test weekly on our own 400-acre private range. The Role and Your Impact: We need a Principal Hardware Engineer to bring senior technical judgment across Archimedes hardware. You are a highly experienced builder who has seen systems go the full way. From a working prototype to hardware that ships and survives in the field. You've done it more than once. You know where systems break, where teams get stuck, and how to keep both moving. This is a technical leadership seat, not a people management seat. Your role is to raise the level of the hardware org through experience, architectural judgment, and hands-on execution. You lead by example, you unblock hard problems, and you set the technical bar for how hardware gets designed and shipped at Aurelius. You'll partner with the founders and the Director of Engineering on architecture and roadmap. You'll work directly alongside mechanical, electrical, power, embedded, and optics engineers on the hardest problems the team is facing. What You'll Own: Architectural direction across the hardware stack from mechanical, electrical, power, to embedded integration Technical decisions on the hardest problems, from concept through production readiness Pattern recognition and technical review like surfacing risk early, and catching what junior engineers miss Handson execution when the problem needs your specific experience to solve fast Design and manufacturing trades across cost, mass, reliability, schedule, and field performance Cross-team judgment when hardware, controls, optics, and software collide Setting the technical bar for design reviews, documentation quality, and release standards Mentorship by example. Engineers should learn from watching you work, not from being managed by you What We're Looking For: 10+ years designing and shipping complex hardware systems Track record taking systems the full development cycle from prototype through manufacturing and deployment Senior IC or technical leadership background at hardware companies that actually shipped Deep technical judgment across at least two of: mechanical, electrical, power electronics, embedded systems Pattern recognition from having built real systems before, especially systems that had to survive real-world conditions Comfort operating as the technical anchor on a small team, not the manager of a large one Nice to Haves: Directed energy, laser, or high-power systems experience Defense or aerospace program experience with MIL-STD or equivalent qualification Founder or founding engineer background at a hardware company Manufacturing depth as-in you've stood up production lines or worked closely with the manufacturers who do Active security clearance or ability to obtain one How You Operate: Extreme bias for action. You'd rather build a prototype tomorrow than model it for a month You characterize your own systems before the field does Comfortable with ambiguity and fast iteration in a startup environment You debug from first principles, not intuition alone Clear communicator across mechanical, electrical, optical, and software teams Self directed. You identify what needs to happen next and do it without being told Why Join Aurelius Systems: Build more in 1 month than most engineers build in 1 year. We field test weekly. Your work goes downrange, not into a filing cabinet. Career velocity is real. At 10 engineers, there are no layers between you and impact. Work on a problem that actually matters. Small cheap drones are changing warfare. Our laser systems are the asymmetric answer - infinite magazine, near zero cost per shot, scalable to every base, border, facility, and truck. Join the densest defense startup ecosystem in the country. California is where the next generation of defense companies are being built. How We Work: Core hours are Monday through Friday, 9 to 6. When we're sprinting toward a demo or field test, the team ramps up - nights, weekends, whatever it takes to ship. When the sprint lands, we ramp down. We don't manufacture intensity for show. Benefits: Competitive salary and equity United Health Care medical, dental, and vision coverage Flexible 18 days PTO plus 5 sick days Travel to field test events and range days Covered daily lunches and office snacks and drinks E-bike and scooter stipend up to $500 Direct access to leadership and real ownership over your work Export Control Notice: This role requires access to export-controlled information or items that require U.S. Person status. As defined by U.S. law, individuals who are any one of the following are considered to be a U.S. Person: (1) U.S. citizens, (2) legal permanent residents (a.k.a. green card holders), and (3) certain protected classes of asylees and refugees, as defined in 8 U.S.C. 1324b(a)(3). Compensation Range: $255K - $305K

Job Description Job Description Description: About Us: eSimplicity is a modern digital services company that partners with government agencies to improve the lives and protect the well-being of all Americans, from veterans and service members to children, families, and seniors. Our engineers, designers, and strategists cut through complexity to create intuitive products and services that equip federal agencies with solutions to courageously transform today for a better tomorrow. Responsibilities: The Agentic AI & MCP Specialist will architect, develop, and operationalize next-generation agentic systems powered by advanced LLMs and Model Context Protocol (MCP) frameworks. This role focuses on building intelligent, multi-step, tool-using agents that can autonomously reason, plan, and execute complex workflows across a cloud-based analytics ecosystem. The specialist will design and implement agent orchestration frameworks, integrate model-driven decision logic, and build robust, production-grade agent capabilities that safely leverage emerging AI techniques. This position requires a deeply skilled software developer who combines strong engineering fundamentals with hands-on experience creating agentic systems, working with MCP-based integrations, designing LLM-driven tools, and building secure, scalable AI applications. The role provides technical leadership, explores cutting-edge agentic patterns, drives proof-of-concept innovation, and partners with engineering and product teams to translate experimental architectures into real-world impact. Requirements: Required Qualifications: All candidates must pass public trust clearance through the U.S. Federal Government. This requires candidates to either be U.S. citizens or pass clearance through the Foreign National Government System which will require that candidates have lived within the United States for at least 3 out of the previous 5 years, have a valid and non-expired passport from their country of birth and appropriate VISA/work permit documentation. Bachelor's Degree and 10+ years of software engineering experience Experience designing, developing, and supporting production applications, platforms, or services. Experience developing agentic AI solutions, including planning, tool utilization, workflow orchestration, multi-step reasoning, or autonomous task execution. Experience designing and implementing Model Context Protocol (MCP) integrations, tool interfaces, or model-driven service architectures. Ability to analyze business, customer, or mission requirements and develop scalable AI-driven solutions that align with technical and operational objectives. Experience with large language model (LLM) development practices, including fine-tuning, retrieval-augmented generation (RAG), prompt engineering, and agent interaction patterns. Proficiency in Python and experience working with APIs, microservices, distributed computing environments, and cloud-native architectures. Experience deploying and integrating AI agents or LLM-enabled applications within cloud environments such as Azure, AWS, or Google Cloud Platform (GCP). Knowledge of MLOps and LLMOps practices, including model versioning, automated testing, deployment automation, monitoring, performance evaluation, and governance. Ability to contribute to solution design discussions, provide technical guidance to team members, and communicate AI-related concepts to technical and non-technical audiences. Experience using version control systems and CI/CD practices, including source code management, automated testing, deployment pipelines, and release management for production environments. Desired Qualifications: Experience building multi-agent systems, agent swarms, or coordinated reasoning frameworks. Familiarity with advanced tool-calling strategies, including dynamic tool selection, function-call planning, or graph-structured task planners. Experience with structured LLM evaluation methods, agent benchmarking, or test harnesses for autonomous systems. Knowledge of performance optimization techniques for LLMs and agents, including caching, model distillation, model routing, or accelerated inference. Background integrating agentic components with large-scale data or analytics platforms (e.g., Databricks, Snowflake, Spark). Hands-on experience developing innovative POCs or experimental agentic architectures in fast-paced R&D environments. Familiarity with emerging agentic frameworks such as Strands Agents, LangGraph, CrewAI, etc. Exposure to safety-oriented design patterns for autonomous systems, including guardrails, validation layers, or constrained-action frameworks. Experience designing and building secure, compliance-aware systems that handle sensitive data in accordance with HIPAA and federal security standards, including implementation of encryption, access controls, auditability, and governance for protected health information (PHI) within AI/LLM workflows. Working Environment : eSimplicity supports a remote work environment operating within the Eastern time zone so we can work with and respond to our government clients. Expected hours are 9:00 AM to 5:00 PM Eastern unless otherwise directed by manager. Occasional travel for training and project meetings. It is estimated to be less than 5% per year. Benefits: eSimplicity offers a comprehensive benefits package, including medical, dental, and vision coverage, 401(k) retirement benefits, paid time off, paid holidays, life and disability insurance, and additional wellness and employee support programs. Eligibility may vary based on employment status and applicable plan terms. Reasonable Accommodation: eSimplicity is committed to providing reasonable accommodations to qualified individuals with disabilities during the application and hiring process. Applicants who need assistance or an accommodation should contact Human Resources. Equal Employment Opportunity: eSimplicity is an Equal Opportunity Employer, including disability and protected veteran status. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, disability, or any othe

Job Description Job Description ABOUT ROCKET LAB Rocket Lab is the end-to-end space company building rockets, spacecraft, and critical subsystems that keep the world connected, protected, expand humanity's reach to the Moon, Mars, and beyond. We move fast, build real hardware for meaningful missions, and make the impossible routine. Come shape the future with us. SPACE SYSTEMS At Rocket Lab, we're not just launching rockets - we're building the future of space. Our Space Systems team builds everything from complete spacecraft, precision payloads to the components and subsystems that allow them to thrive in space, like solar panels, flight software, star trackers, optical systems, separation systems, radios, and more. Our Space Systems team has enabled more than 1,700 missions, ranging from interplanetary exploration, in-space manufacturing to national security and defense initiatives. The team has built spacecraft, payloads, and components for missions to the Moon and Mars, working with partners including NASA, the Space Development Agency, and the U.S. Space Force. Whether it's a single high-performance spacecraft, constellation, or the vertically integrated components that help them get to space - our world class Space Systems team is empowering some of the boldest and most ambitious space missions. PRINCIPAL SPACECRAFT GUIDANCE NAVIGATION AND CONTROL (GNC) ENGINEER - SECRET CLEARANCE Based out of Rocket Lab's global headquarters in Long Beach, CA, the Principal Spacecraft GNC Engineer - Secret Clearance is responsible for leading GNC and ADCS development for Rocket Lab's growing fleet of diverse spacecraft. You will demonstrate a firm grasp of spacecraft GNC concepts and applications. You will work with all facets of the engineering life cycle: spacecraft concept and algorithm development, flight software implementation, subsystem requirements development, detailed GNC design, subsystem integration & test (I&T), and vehicle I&T. You will be responsible for planning and maintaining the development schedule to support the Space Systems Software organization in executing leading edge programs and products. You will work closely with related teams, including Systems, Avionics, Flight Software, Mission Operations, and Ground Software. You will also directly interact with customers to ensure mission success. WHAT YOU'LL GET TO DO: Mentor a team responsible for GNC design, modeling, and analysis for a wide variety of spacecraft and space missions to include LEO, MEO, GEO, Lunar, Interplanetary, Reentry, and RPOD Design of flight software, algorithms, and simulation product Development of spacecraft autonomy tools for constellation management GNC component selection and GNC subsystem design Test process development and execution Define fault detection and response Hardware-in-the-loop and Monte Carlo simulation Integration of flight and simulation software with modern analysis, test, and operations tools Support internal and external design reviews Work with department leads and program managers to plan and maintain team schedule and milestones and report technical status Coordinate with teams in Denver, Colorado and New Zealand YOU'LL BRING THESE QUALIFICATIONS AS PRINCIPAL SPACECRAFT GNC ENGINEER : B.S and 12+ years of industry experience in GNC/ADCS Active Secret clearance, with ability to obtain TS/SCI Prior experience directly interfacing with aerospace customers in the commercial or government sectors U.S citizenship is required, due to program requirements THESE QUALIFICATIONS WOULD BE NICE TO HAVE: MS or PhD 2+ years of RPOD design and operations experience Active TS/SCI clearance Experience in Jira planning and workflow Prior experiencing mentoring a team of younger engineers Hands-on experience with IMU, reaction wheels, star trackers, gyroscopes, and other GNC hardware Experience developing blended attitude solutions from a variety of sensor data Demonstrated experience developing, implementing, and verifying flight software Demonstrated experience with spacecraft on-orbit operations and anomaly resolution Prior experience leading a team across a project lifecycle (not necessarily a spacecraft, not necessarily a whole GNC system) Prior experience working multiple projects simultaneously and determining priorities for a team Experience with GNC-related Business Development or conceptual design work This position may require prolonged periods of sitting, standing, walking, computer work, and occasional exposure to moderate levels of noise, dust, and fumes in production areas. Anticipated annual equity grant value is designed around function, level, experience, and other factors; realized value depends on vesting and stock-price performance. Join one of the world's fastest-growing space companies and own a piece of it. In addition to competitive base pay, you'll receive company stock as part of your total compensation package , giving you a direct stake in our success. As we expand to new launch sites, groundbreaking missions, and global markets, your ownership has the opportunity to grow alongside the company. Our comprehensive benefits package includes our industry-leading Employee Stock Purchase Program (with a 15% discount on company stock), top-tier medical plans (HMO, PPO, and a zero cost HDHP option with a significant HSA company contribution), dental and vision coverage, paid vacation and sick time, 11 paid holidays, flexible spending and dependent care accounts, paid parental leave, disability and life insurance, and a 401(k) retirement plan with company match. Additional perks include subsidized EV charging, onsite fitness centers (where available), discounted gym memberships, complimentary snacks and beverages, 50% employee discount on our popular merch store, and a variety of other employee discounts. Level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Total Compensation (base and equity) $247,000-$376,000 USD Base Salary $195,000-$295,000 USD WHAT TO EXPECT We're on a mission to unlock the potential of space to improve life on Earth, but that's not an easy task. It takes hard work, determination, relentless innovation, teamwork, grit, and an unwavering commitment to achieving what others often deem impossible. Our people out-think, out-work, and out-pace. We pride ourselves on having each other's backs, checking our egos at the door, and rolling up our sleeves on all tasks big and small. We thrive under pressure, work to tight deadlines, and our focus is always on how we can deliver, rather than dwelling on the challenges that stand in the way. Important information: FOR CANDIDATES SEEKING TO WORK IN US OFFICES ONLY: To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), Rocket Lab Employees must be a U.S. citizen, lawful U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum, or be eligible to obtain the required authorizations from the U.S. Department of State and/or the U.S. Department of Commerce, as applicable. Learn more about ITAR here. Rocket Lab provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment at Rocket Lab, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Applicants requiring a reasonable accommodation for the application/interview process for a job in the United States should contact Giulia Johnson at dedicated resource is intended solely to assist job seekers with disabilities whose disability prevents them from being able to apply/interview. Only messages left for this purpose will be considered. A response to your request may take up to two business days. FOR CANDIDATES SEEKING TO WORK IN NEW ZEALAND OFFICES ONLY: For security reasons, background checks will be undertaken prior to any employment offers being made to an applicant. These checks will include nationality checks as it is a requirement of this position that you be eligible to access equipment and data regulated by the United States' International Traffic in Arms Regulations. Under these Regulations, you may be ineligible for this role if you do not hold citizenship of Australia, Japan, New Zealand, Switzerland, the European Union, or a country that is part of NATO, or if you hold ineligible dual citizenship or nationality. For more information on these Regulations, click here ITAR Regulations.