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Are you an experienced Electrical Designer with a passion for BIM? Are you a creative, smart and driven individual that enjoys working with complex projects within a team environment? If this is you, we want YOU on our team! You will be a part of highly creative and efficient MEP BIM team, tasked with designing challenging and complex projects with innovative solutions for Amazon owned Data Center facilities. You will provide support to our Central Engineering Team through the preparation of Electrical BIM models, construction documents and leveraging BIM data. You will influence Data Center design documents for: One-lines, Switchgear, UPS, Panelboards, Transformers, Power, Lighting, Lighting Control Systems, grounding, Fire Alarm systems, Short Circuit and Arc Flash analysis, Cable tray and Cable pathways for Ethernet and Fiber systems. You will produce, maintain and publish permit Electrical Engineering drawing sets for our fleet of Data Centers. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Key job responsibilities Daily responsibilities will include designing the electrical systems of Data Centers, and utilizing Revit to create and maintain BIM models. You must be able to work independently and work within a team environment to accomplish assigned tasks. This includes working with internal groups as well as external suppliers and consultants, manufacturers, vendors, and contractors. Your duties will include: • Be self-motivated and work within the MEP group as well as within other teams., • Understanding of electrical engineering calculations and studies, such as short circuit, arc flash analysis., • Ability to perform voltage drop calculations, raceway and conductor sizing, and grounding system conductor sizing., • Preparing and developing detailed Revit models of electrical building systems., • Developing & publishing construction documentation for electrical building systems designs in a fast-paced environment to meet scheduled deliverables., • Updating and modifying existing models, studies and construction documents as required with coordination of engineering group., • Assist with creating and maintaining standard regional BIM templates., • Participate in design coordination meetings with other trades for clash detection and resolution., • Work on concurrent projects in multiple geographical locations., • Assist the project team with information exchange processes between internal and external customers., • Provide coordination support for information requests during construction phases., • Recording and reporting of key metrics to management., • Travel to Data Center sites for engineering evaluations and surveys as required. On average, once or twice a year., • Be positive and always offer creative, out of the box solutions., • Have fun and work hard! A day in the life As a designer, you will collaborate across disciplines and teams to refine data center designs. Your work includes creating detailed models, drawings, specification, prototypes, and updating managers and leaders of changes to the building design. You engage in design discussions, review feedback from peers and collaborators, and adjust designs to ensure our data center solutions meet the highest standards of efficiency and quality. About the team Why AWS o Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences o Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Work/Life Balance o We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Tea Culture o Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth o We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. • 4+ years of industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities experience, • 4+ years of commissioning experience, • Bachelor's degree in Electrical Engineering or a related field, • Knowledge of Microsoft Office including Outlook, Word, and Excel, • Experience in industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities, • Experience researching new designs, technologies, and construction methods of data center equipment and facilities, • Experience in commissioning, • 4+ years’ experience using Revit for producing Electrical engineering BIM models and construction drawings., • Practical knowledge and understanding of electrical codes (NEC) and safety regulations., • Ability to conduct lighting illumination calculations., • Understanding of power distribution and as represented by Single Line diagrams, plans and schedules., • Professional Engineer License, • Experience with building codes and regulations for your region, • Experience carrying design concepts through exploration, development, and into deployment or mass production, • Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents, • Experience with developing Revit Family content, Dynamo scripts, RF Tools., • Familiarity with the BIMForum LOD Specification, plus AIA and NBIMS standards and best practices for BIM collaboration., • Experience observing construction, familiar with construction technology, familiar with construction practices. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit _ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, TX, Austin - 116,800.00 - 160,000.00 USD annually USA, VA, Herndon - 116,800.00 - 160,000.00 USD annually USA, WA, Seattle - 116,800.00 - 160,000.00 USD annually

Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server. Our success depends on our world-class server infrastructure; we’re handling massive scale and rapid integration of emergent technologies. We’re looking for an ASIC Design Engineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs. Key job responsibilities As an ASIC Design Engineer, you will: • Develop and implement high-performance, area and power-efficient RTL designs to meet project specifications and targets, • Conduct in-depth analysis of designs, microarchitectures, and architectures to optimize trade-offs between features, power consumption, performance, and area requirements, • Create microarchitectures, implement SystemVerilog RTL, and deliver synthesis and timing-clean designs with appropriate constraints, • Execute lint and clock domain crossing quality checks to ensure design integrity, • Collaborate closely with cross-functional teams, including architects, fellow designers, verification specialists, pre- and post-silicon validation teams, and synthesis, timing, and back-end experts The ideal candidate will have a strong background in ASIC design, proficiency in SystemVerilog, and excellent analytical and problem-solving skills. Experience with high-performance and power-efficient designs is highly desirable. You will thrive in this role if you: • Have a "Learn and Be Curious" mindset, • Have familiarity with key components such as interconnects, DMAs, Memory sub-systems, accelerator engines, debug and system level architectures, • Have a strong drive to innovate, explore new solutions, and contribute to the company's intellectual property through patents About the team Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future. • Bachelor's degree or equivalent, • 3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience, • Master's degree in computer science or equivalent, • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit _ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, TX, Austin - 153,600.00 - 215,000.00 USD annually

We are looking for a Software Development Engineer to join the CV Test Infrastructure team within Amazon's Annapurna ML organization. You will build and maintain the automated validation infrastructure (Origami platform) that supports chip verification and validation across multiple engineering teams and hardware platforms — including emulators (ZeBu), virtual platforms (QEMU), and silicon prototypes. In addition, you will design and implement diagnostic tools that enable engineers to quickly identify, analyze, and resolve validation failures across complex hardware/software environments. Key job responsibilities Design and develop diagnostic tools for analyzing test failures, hardware issues, and regression results across emulation, virtual platform, and silicon environments Build and maintain automation frameworks for test execution across multiple platforms Develop and enhance CI/CD pipelines for nightly regression and on-demand test execution Develop and improve the Origami platform - a web-based system for test management, resource monitoring, and validation reporting Automate emulator model build and release processes Build dashboards and tooling for real-time visibility into regression results, resource utilization, and failure analysis Manage and improve SLURM-based job scheduling infrastructure for shared compute resources Collaborate with multiple verification and design teams to understand their diagnostic and automation needs Maintain and extend AWS-based infrastructure (EC2, DynamoDB, S3) supporting the validation platform • Bachelor's degree in computer science, electrical engineering, or related field, • 3+ years of programming experience (Python, Bash, or similar), • Experience designing and building developer tools or diagnostic utilities, • Strong experience with Linux environments and debugging complex systems, • Experience with CI/CD concepts and tools (Jenkins, Git), • Experience building test automation frameworks and tools, • Experience with AWS Services including EC2, Lambda, S3, DynamoDB, SQS, • Experience building diagnostic/analysis tools for hardware or embedded systems, • Familiarity with SLURM or similar job scheduling systems, • Experience with web development (React, Node.js) for dashboard/tooling, • Familiarity with hardware verification/emulation environments, • Experience with log parsing, failure classification, and root cause analysis tooling Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit _ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, TX, Austin - 143,700.00 - 194,400.00 USD annually

We're seeking a Software Development Engineer to help architect, build, and operate the infrastructure that accelerates silicon development at Annapurna Labs. In this role, you'll contribute to the platforms, tooling, and automation that enable our chip design teams to iterate faster, validate more thoroughly, and bring transformative silicon to market. You'll work at the intersection of cloud infrastructure, high-performance computing, and electronic design automation—building systems that directly impact AWS's ability to innovate in custom silicon. This is a unique opportunity to grow your skills in infrastructure that supports chip development while working with world-class engineers across hardware, software, and operations disciplines. Key job responsibilities Customer-Focused Infrastructure Development • Partner with silicon design, verification, emulation, and software teams to understand their development workflows, pain points, and iteration cycles. • Build tooling and automation that eliminates manual toil and reduces time-to-results., • Gather continuous feedback from internal customers and rapidly iterate on solutions. Benchmark infrastructure based on silicon development workflows to provide internal customers with the optimal resources for silicon development. Own Platform Delivery and Operations • Design, implement, and operate cloud infrastructure and high-performance computing clusters using schedulers like Slurm. • Build and maintain CI/CD pipelines for infrastructure-as-code and service deployments with comprehensive testing and safe rollback mechanisms. • Take ownership of platform reliability, performance, and cost efficiency from initial design through production operation. Drive Results Through Automation and Observability • Develop monitoring, diagnostics, and alerting systems that surface actionable insights on efficiency, utilization, reliability, and cost trends. • Establish incident response processes, runbooks, and documentation that enable operational excellence. • Proactively anticipate system failures and implement preventive measures, reducing operational toil and improving system resilience. A day in the life Each day you will work with some of the best engineers in the industry to develop Machine Learning Accelerators. On-site in Austin, Texas, you will be part of the team that develops custom silicon and contribute to the infrastructure that enables this innovation. You might start your day investigating anomalies in job completion rates or resource utilization patterns. You could spend your morning collaborating with a design verification team to optimize their regression workflows, identifying bottlenecks and proposing improvements. In the afternoon, you might be building new tooling that simplifies infrastructure access for emulation teams, or contributing to monitoring dashboards that give teams real-time visibility into their development velocity. You'll participate in design reviews, contribute to postmortems when incidents occur, and continuously refine the systems that accelerate the path from RTL to silicon. Throughout the day, you'll balance immediate customer needs—unblocking a team waiting for compute capacity —with longer-term platform investments. You'll write code, review infrastructure-as-code changes, and collaborate across teams who depend on the systems you build. Take a look inside our labs to see what you will learn at Annapurna Labs: • https://www.aboutamazon.com/news/aws/take-a-look-inside-the-lab-where-aws-makes- custom-chips • https://youtu.be/rViVFrQg4Hk About the team At Annapurna Labs, your infrastructure work directly enables breakthrough innovations in custom silicon that power AWS and transform industries. You'll collaborate with world-class chip designers, verification engineers, and software developers who are pushing the boundaries of what's possible. We offer the resources and scale of AWS with the innovation culture and technical depth of a focused silicon team. If you're passionate about building infrastructure that accelerates innovation, thrive on customer obsession and ownership, and want to see your work enable the next generation of AWS silicon —we want to hear from you • 3+ years of non-internship professional software development experience, • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience, • Experience programming with at least one software programming language, • 2+ years of non-internship professional software development experience, • 2+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience, • 3+ years of administrative experience in networking, storage systems, operating systems and hands-on systems engineering experience, • Knowledge of systems engineering fundamentals (networking, storage, operating systems), • Experience programming with at least one modern language such as C++, C#, Java,, • Python, Golang, PowerShell, Ruby, • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent, • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience, • Bachelor's degree in computer science or equivalent, • Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust with demonstrated ability to write production-quality, maintainable code, • • Experience utilizing AWS cloud solutions in a DevOps environment with infrastructure as code (CloudFormation, Terraform, CDK), • • Experience with Linux/Unix, • • Experience in automating, deploying, and supporting large-scale infrastructure, • • Experience with high-performance computing (HPC) clusters using workload schedulers like Slurm, • • Familiarity with semiconductor development workflows or electronic design automation (EDA) environments, • • Experience building services using AWS products, • • Experience with CI/CD pipelines and build processes, • • Experience with monitoring, observability, and incident management at scale Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit _ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, TX, Austin - 143,700.00 - 194,400.00 USD annually

Neuron SDK is the complete software stack for the AWS Inferentia and Trainium machine learning accelerators designed by Annapurna Labs inside AWS. The Neuron SDK consists of a compiler, runtime, frameworks, and tooling customers need. It’s also preinstalled in Amazon Deep Learning AMIs and Deep Learning Containers for customers to quickly get started with running high performance and cost-effective inference and training. This position is for a Software Engineer for the AWS Neuron SDK team with a deep background in Linux and device drivers. Deep knowledge and experience with hardware-based accelerator platforms and the necessary complexity for the software layers that interact and manage them. Experience implementing high performance software drivers, needed to ensure high throughput from software to hardware, is also a necessity. This engineer will work with the team to define the key interfaces and will develop the runtime stack and driver that manages the accelerator. This engineer will also work in pre-silicon environments (such as emulation) to shift-left Runtime Software Stack readiness and to develop validation content to checkout HW/Silicon features. This is a fast-paced, intellectually challenging position, where you’ll work with thought-leaders in multiple technology areas. You’ll have high standards for yourself and everyone you work with, and you’ll be constantly looking for ways to improve our products' performance, quality and cost. We’re changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today. • 3+ years of non-internship professional software development experience, • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience, • Experience programming with at least one software programming language, • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience, • Bachelor's degree in computer science or equivalent, • Experience in computer architecture, • Experience writing low level drivers Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit _ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, TX, Austin - 143,700.00 - 194,400.00 USD annually

About the Role: \n We are looking for existing software engineers and developers to help advance AI development. As a member of DataAnnotation's Software Engineering team, you'll be part of a growing community of over 100,000 professionals, including front-end, back-end, full-stack, machine learning, DevOps, and other software engineers who are driving real-world impact in AI development. \n Our platform offers an engaging blend of flexibility and challenge. You'll work closely with state-of-the-art AI models on programming tasks such as creating and solving complex coding problems, building applications with rich functionality, debugging and improving code, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. \n Some contributors fit this work alongside a full-time role, while others make it their primary focus, choosing projects and schedules that align with their availability and goals. \n To get started, you'll create an account and complete a short assessment, which serves as our version of an interview. If you pass the assessment, you'll receive an email confirmation and gain access to paid projects through our platform. \n Advantages of contracting with us: \n\n • Choose which projects you want to work on and when.\n, • Work with state-of-the-art and unreleased AI coding agents.\n, • Work on your own schedule, using your own computer, from the comfort of your home.\n, • Projects are paid hourly starting at $50-100+/hr with higher rates available for certain projects.\n\n Responsibilities: \n\n • Create and work with coding environments, unit tests, and verifiers.\n, • Design and solve diverse coding problems used to train AI systems.\n, • Write clear, high-quality code and technical explanations.\n, • Evaluate model trajectories for accuracy, performance, readability, and best practices.\n, • Identify bugs, edge cases, and opportunities for improvement in AI-generated solutions.\n, • Provide structured feedback that helps improve the next generation of AI models.\n\n Qualifications: \n\n • Fluency in English (native or bilingual level).\n, • Proficiency in at least one modern programming language, such as Python, JavaScript, TypeScript, Java, C, C#, C++, Go, Kotlin, Swift, or React.\n, • Strong software engineering fundamentals, including problem-solving, debugging, and code review.\n, • Excellent written communication skills.\n, • A bachelor's degree (completed or in progress).\n, • Previous experience as a Software Engineer, Software Developer, Programmer, Full-Stack Engineer, Front-End Engineer, Back-End Engineer, or similar technical role is preferred.\n\n Note: \n Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the United States, Canada, the United Kingdom, Ireland, Australia, New Zealand, the Netherlands, Germany, Denmark, Norway, Sweden, Poland, Romania, Ukraine, Argentina, Brazil, India, and the Philippines. Those located outside of these countries will not see work or assessments available on our site at this time. This is an independent contractor position. \n #SWE

About the Role: \n We are looking for existing software engineers and developers to help advance AI development. As a member of DataAnnotation's Software Engineering team, you'll be part of a growing community of over 100,000 professionals, including front-end, back-end, full-stack, machine learning, DevOps, and other software engineers who are driving real-world impact in AI development. \n Our platform offers an engaging blend of flexibility and challenge. You'll work closely with state-of-the-art AI models on programming tasks such as creating and solving complex coding problems, building applications with rich functionality, debugging and improving code, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. \n Some contributors fit this work alongside a full-time role, while others make it their primary focus, choosing projects and schedules that align with their availability and goals. \n To get started, you'll create an account and complete a short assessment, which serves as our version of an interview. If you pass the assessment, you'll receive an email confirmation and gain access to paid projects through our platform. \n Advantages of contracting with us: \n\n • Choose which projects you want to work on and when.\n, • Work with state-of-the-art and unreleased AI coding agents.\n, • Work on your own schedule, using your own computer, from the comfort of your home.\n, • Projects are paid hourly starting at $50-100+/hr with higher rates available for certain projects.\n\n Responsibilities: \n\n • Create and work with coding environments, unit tests, and verifiers.\n, • Design and solve diverse coding problems used to train AI systems.\n, • Write clear, high-quality code and technical explanations.\n, • Evaluate model trajectories for accuracy, performance, readability, and best practices.\n, • Identify bugs, edge cases, and opportunities for improvement in AI-generated solutions.\n, • Provide structured feedback that helps improve the next generation of AI models.\n\n Qualifications: \n\n • Fluency in English (native or bilingual level).\n, • Proficiency in at least one modern programming language, such as Python, JavaScript, TypeScript, Java, C, C#, C++, Go, Kotlin, Swift, or React.\n, • Strong software engineering fundamentals, including problem-solving, debugging, and code review.\n, • Excellent written communication skills.\n, • A bachelor's degree (completed or in progress).\n, • Previous experience as a Software Engineer, Software Developer, Programmer, Full-Stack Engineer, Front-End Engineer, Back-End Engineer, or similar technical role is preferred.\n\n Note: \n Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the United States, Canada, the United Kingdom, Ireland, Australia, New Zealand, the Netherlands, Germany, Denmark, Norway, Sweden, Poland, Romania, Ukraine, Argentina, Brazil, India, and the Philippines. Those located outside of these countries will not see work or assessments available on our site at this time. This is an independent contractor position. \n #SWE

About the Role: \n We are looking for existing software engineers and developers to help advance AI development. As a member of DataAnnotation's Software Engineering team, you'll be part of a growing community of over 100,000 professionals, including front-end, back-end, full-stack, machine learning, DevOps, and other software engineers who are driving real-world impact in AI development. \n Our platform offers an engaging blend of flexibility and challenge. You'll work closely with state-of-the-art AI models on programming tasks such as creating and solving complex coding problems, building applications with rich functionality, debugging and improving code, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. \n Some contributors fit this work alongside a full-time role, while others make it their primary focus, choosing projects and schedules that align with their availability and goals. \n To get started, you'll create an account and complete a short assessment, which serves as our version of an interview. If you pass the assessment, you'll receive an email confirmation and gain access to paid projects through our platform. \n Advantages of contracting with us: \n\n • Choose which projects you want to work on and when.\n, • Work with state-of-the-art and unreleased AI coding agents.\n, • Work on your own schedule, using your own computer, from the comfort of your home.\n, • Projects are paid hourly starting at $50-100+/hr with higher rates available for certain projects.\n\n Responsibilities: \n\n • Create and work with coding environments, unit tests, and verifiers.\n, • Design and solve diverse coding problems used to train AI systems.\n, • Write clear, high-quality code and technical explanations.\n, • Evaluate model trajectories for accuracy, performance, readability, and best practices.\n, • Identify bugs, edge cases, and opportunities for improvement in AI-generated solutions.\n, • Provide structured feedback that helps improve the next generation of AI models.\n\n Qualifications: \n\n • Fluency in English (native or bilingual level).\n, • Proficiency in at least one modern programming language, such as Python, JavaScript, TypeScript, Java, C, C#, C++, Go, Kotlin, Swift, or React.\n, • Strong software engineering fundamentals, including problem-solving, debugging, and code review.\n, • Excellent written communication skills.\n, • A bachelor's degree (completed or in progress).\n, • Previous experience as a Software Engineer, Software Developer, Programmer, Full-Stack Engineer, Front-End Engineer, Back-End Engineer, or similar technical role is preferred.\n\n Note: \n Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the United States, Canada, the United Kingdom, Ireland, Australia, New Zealand, the Netherlands, Germany, Denmark, Norway, Sweden, Poland, Romania, Ukraine, Argentina, Brazil, India, and the Philippines. Those located outside of these countries will not see work or assessments available on our site at this time. This is an independent contractor position. \n #SWE

About the Role: \n We are looking for existing software engineers and developers to help advance AI development. As a member of DataAnnotation's Software Engineering team, you'll be part of a growing community of over 100,000 professionals, including front-end, back-end, full-stack, machine learning, DevOps, and other software engineers who are driving real-world impact in AI development. \n Our platform offers an engaging blend of flexibility and challenge. You'll work closely with state-of-the-art AI models on programming tasks such as creating and solving complex coding problems, building applications with rich functionality, debugging and improving code, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. \n Some contributors fit this work alongside a full-time role, while others make it their primary focus, choosing projects and schedules that align with their availability and goals. \n To get started, you'll create an account and complete a short assessment, which serves as our version of an interview. If you pass the assessment, you'll receive an email confirmation and gain access to paid projects through our platform. \n Advantages of contracting with us: \n\n • Choose which projects you want to work on and when.\n, • Work with state-of-the-art and unreleased AI coding agents.\n, • Work on your own schedule, using your own computer, from the comfort of your home.\n, • Projects are paid hourly starting at $50-100+/hr with higher rates available for certain projects.\n\n Responsibilities: \n\n • Create and work with coding environments, unit tests, and verifiers.\n, • Design and solve diverse coding problems used to train AI systems.\n, • Write clear, high-quality code and technical explanations.\n, • Evaluate model trajectories for accuracy, performance, readability, and best practices.\n, • Identify bugs, edge cases, and opportunities for improvement in AI-generated solutions.\n, • Provide structured feedback that helps improve the next generation of AI models.\n\n Qualifications: \n\n • Fluency in English (native or bilingual level).\n, • Proficiency in at least one modern programming language, such as Python, JavaScript, TypeScript, Java, C, C#, C++, Go, Kotlin, Swift, or React.\n, • Strong software engineering fundamentals, including problem-solving, debugging, and code review.\n, • Excellent written communication skills.\n, • A bachelor's degree (completed or in progress).\n, • Previous experience as a Software Engineer, Software Developer, Programmer, Full-Stack Engineer, Front-End Engineer, Back-End Engineer, or similar technical role is preferred.\n\n Note: \n Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the United States, Canada, the United Kingdom, Ireland, Australia, New Zealand, the Netherlands, Germany, Denmark, Norway, Sweden, Poland, Romania, Ukraine, Argentina, Brazil, India, and the Philippines. Those located outside of these countries will not see work or assessments available on our site at this time. This is an independent contractor position. \n #SWE

About the Role: \n We are looking for existing software engineers and developers to help advance AI development. As a member of DataAnnotation's Software Engineering team, you'll be part of a growing community of over 100,000 professionals, including front-end, back-end, full-stack, machine learning, DevOps, and other software engineers who are driving real-world impact in AI development. \n Our platform offers an engaging blend of flexibility and challenge. You'll work closely with state-of-the-art AI models on programming tasks such as creating and solving complex coding problems, building applications with rich functionality, debugging and improving code, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. \n Some contributors fit this work alongside a full-time role, while others make it their primary focus, choosing projects and schedules that align with their availability and goals. \n To get started, you'll create an account and complete a short assessment, which serves as our version of an interview. If you pass the assessment, you'll receive an email confirmation and gain access to paid projects through our platform. \n Advantages of contracting with us: \n\n • Choose which projects you want to work on and when.\n, • Work with state-of-the-art and unreleased AI coding agents.\n, • Work on your own schedule, using your own computer, from the comfort of your home.\n, • Projects are paid hourly starting at $50-100+/hr with higher rates available for certain projects.\n\n Responsibilities: \n\n • Create and work with coding environments, unit tests, and verifiers.\n, • Design and solve diverse coding problems used to train AI systems.\n, • Write clear, high-quality code and technical explanations.\n, • Evaluate model trajectories for accuracy, performance, readability, and best practices.\n, • Identify bugs, edge cases, and opportunities for improvement in AI-generated solutions.\n, • Provide structured feedback that helps improve the next generation of AI models.\n\n Qualifications: \n\n • Fluency in English (native or bilingual level).\n, • Proficiency in at least one modern programming language, such as Python, JavaScript, TypeScript, Java, C, C#, C++, Go, Kotlin, Swift, or React.\n, • Strong software engineering fundamentals, including problem-solving, debugging, and code review.\n, • Excellent written communication skills.\n, • A bachelor's degree (completed or in progress).\n, • Previous experience as a Software Engineer, Software Developer, Programmer, Full-Stack Engineer, Front-End Engineer, Back-End Engineer, or similar technical role is preferred.\n\n Note: \n Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the United States, Canada, the United Kingdom, Ireland, Australia, New Zealand, the Netherlands, Germany, Denmark, Norway, Sweden, Poland, Romania, Ukraine, Argentina, Brazil, India, and the Philippines. Those located outside of these countries will not see work or assessments available on our site at this time. This is an independent contractor position. \n #SWE

About the Role: \n We are looking for existing software engineers and developers to help advance AI development. As a member of DataAnnotation's Software Engineering team, you'll be part of a growing community of over 100,000 professionals, including front-end, back-end, full-stack, machine learning, DevOps, and other software engineers who are driving real-world impact in AI development. \n Our platform offers an engaging blend of flexibility and challenge. You'll work closely with state-of-the-art AI models on programming tasks such as creating and solving complex coding problems, building applications with rich functionality, debugging and improving code, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. \n Some contributors fit this work alongside a full-time role, while others make it their primary focus, choosing projects and schedules that align with their availability and goals. \n To get started, you'll create an account and complete a short assessment, which serves as our version of an interview. If you pass the assessment, you'll receive an email confirmation and gain access to paid projects through our platform. \n Advantages of contracting with us: \n\n • Choose which projects you want to work on and when.\n, • Work with state-of-the-art and unreleased AI coding agents.\n, • Work on your own schedule, using your own computer, from the comfort of your home.\n, • Projects are paid hourly starting at $50-100+/hr with higher rates available for certain projects.\n\n Responsibilities: \n\n • Create and work with coding environments, unit tests, and verifiers.\n, • Design and solve diverse coding problems used to train AI systems.\n, • Write clear, high-quality code and technical explanations.\n, • Evaluate model trajectories for accuracy, performance, readability, and best practices.\n, • Identify bugs, edge cases, and opportunities for improvement in AI-generated solutions.\n, • Provide structured feedback that helps improve the next generation of AI models.\n\n Qualifications: \n\n • Fluency in English (native or bilingual level).\n, • Proficiency in at least one modern programming language, such as Python, JavaScript, TypeScript, Java, C, C#, C++, Go, Kotlin, Swift, or React.\n, • Strong software engineering fundamentals, including problem-solving, debugging, and code review.\n, • Excellent written communication skills.\n, • A bachelor's degree (completed or in progress).\n, • Previous experience as a Software Engineer, Software Developer, Programmer, Full-Stack Engineer, Front-End Engineer, Back-End Engineer, or similar technical role is preferred.\n\n Note: \n Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the United States, Canada, the United Kingdom, Ireland, Australia, New Zealand, the Netherlands, Germany, Denmark, Norway, Sweden, Poland, Romania, Ukraine, Argentina, Brazil, India, and the Philippines. Those located outside of these countries will not see work or assessments available on our site at this time. This is an independent contractor position. \n #SWE

Who we are With its A.I.-powered robotic technology platform, Symbotic is changing the way consumer goods move through the supply chain. Intelligent software orchestrates advanced robots in a high-density, end-to-end system – reinventing warehouse automation for increased efficiency, speed and flexibility. What we need The Project Engineer is responsible for the installation, commissioning, and testing of Programmable Logic Controller (PLC)-controlled equipment at customer sites. This role involves hands-on work with electrical technicians to bring up control cabinets, load and configure PLC software, and execute tests to verify system functionality and performance. The Onsite Commissioning Project Engineer serves as the single point of contact for all onsite commissioning support, training, and issue resolution. This role collaborates closely with Software, Engineering, and ICS teams to ensure seamless system integration and project execution. What we do The Commissioning team plays a crucial role in ensuring the successful deployment of robotic systems. They are responsible for overseeing the beginning and final stages of system integration, testing, and optimization before the automation solution is put into operation. This team works closely with engineers and technicians to fine-tune robotics and automation systems, ensuring they meet performance standards, safety regulations, and customer requirements. Their expertise in troubleshooting, calibration, and quality control helps Symbotic deliver efficient and reliable robotic solutions to clients across various industries. What you’ll do Act as the primary liaison for all onsite commissioning support, issue resolution, and coordination across departments. Ensure all commissioning workload, progress, and reporting are accurately updated and maintained in Jira per project. Partner with team leadership to design, benchmark, and standardize commissioning processes from scratch. Auditing third-party contractor work and documentation to ensure strict adherence to company processes. Conduct one-on-one discussions with engineers to verify the content and status of Jira tickets, ensuring no missing details. Track and verify that timesheet hours align with commissioning tasks and projects. Resolve blocked and rejected Jira items by working directly with assigned engineers. Facilitate weekly training sessions and documentation updates to support continuous improvement. Collaborate with project managers to address and resolve blocking issues. Travel as needed to work onsite with project managers, scrum masters, the commissioning team, and leadership. Participate in new product development initiatives by attending design reviews, workshops, and cross-functional planning sessions to ensure commissioning requirements, deliverables, documentation, and field support needs are identified and addressed throughout the development process. What you’ll need Bachelor's degree in either electrical or mechanical engineering, or in automated production management, or equivalent work experience. Minimum of 5 years' experience with PLC (Allen Bradley), Robot (ABB, Fanuc), Industrial networking (Ethernet/IP), or Operator interface (Panel View Plus). Mechanical Engineer, or an engineer with heavy hands-on mechanical experience, is highly preferred. Experience with motion control equipment such as VFDs and the ability to debug and support via Remote Desktop, SSH, browser, etc. Demonstrated proficiency in managing projects across broad internal stakeholders to execute project scope and timeline. Demonstrated ability to schedule complex work with dependencies and to drive production. Track record of exceeding project deliverables while remaining on time and within budget. Experience working in a team-oriented, collaborative environment. Our Environment Remote, field-based position. Travel is required up to 75% of the time. Employees must have a valid driver’s license and the ability to drive and/or fly to client and other customer locations. The employee is responsible for owning a credit card and managing expenses personally to be reimbursed on a bi-weekly basis. Our main office is in Wilmington, MA. The person taking this field-based position will be required to perform work at our customer installation locations for extended periods of time where equipment is installed and ready for commissioning. The employee is frequently required to walk and reach with hands and arms. The employee is routinely required to work at heights of up to 45 feet and within restrictive areas of 24 inches. to stand; climb or balance and stoop, kneel, crouch, or crawl. The employee must regularly lift and/or move up to 50 pounds. Must comply with all safety requirements and protocols, including without limitation Lock out tag out safety protocols and fall protection safety protocols. Approximately 75% of time will be spent on a construction site with PPE required (hard hat, safety vest, steel toes, eyeglasses, ear protection, fall protection (e.g., safety harness). There will be steep stairs to climb into the structure. You may be required to routinely walk up and down stairs to navigate the automation structure. You will regularly be near railings that are high off the ground. Subject to environmental conditions, protection from weather conditions but not necessarily temperature changes. Must be capable of working in temperatures ranging from 105° to 32° Fahrenheit. #LI-TS1 #LI-Remote About Symbotic Symbotic is an automation technology leader reimagining the supply chain with its end-to-end, AI-powered robotic and software platform. Symbotic reinvents the warehouse as a strategic asset for the world’s largest retail, wholesale, and food & beverage companies. Applying next-gen technology, high-density storage and machine learning to solve today's complex distribution challenges, Symbotic enables companies to move goods with unmatched speed, agility, accuracy and efficiency. As the backbone of commerce the Symbotic platform transforms the flow of goods and the economics of supply chain for its customers. For more information, visit _. We are a community of innovators, collaborators and pioneers who embrace our differences, because we know unique perspectives make us stronger and smarter. Every perspective matters. We depend on the collective voices of our employees, customers and community to help guide us as we build a better place to work – for you and the world. That’s why we’re proud to be an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information. The base range for this position in the posted location is $96,000.00 - $132,000.00 however, base pay offered may vary depending on job-related knowledge, skills, and experience. The compensation package includes medical, dental, vision, disability, 401K, PTO and/or other benefits.

Who we are With its A.I.-powered robotic technology platform, Symbotic is changing the way consumer goods move through the supply chain. Intelligent software orchestrates advanced robots in a high-density, end-to-end system – reinventing warehouse automation for increased efficiency, speed and flexibility. What we need We are seeking multiple levels of Quality Engineer to support our external manufacturing partners, supplier quality, engineering, and site installation teams to ensure the highest standards of quality and field reliability for our system. The ideal candidate will leverage a deep understanding of product applications and environments to strategically apply technical knowledge and methodologies for enhancing product quality. This role involves analyzing field data, subsystem/component defects, and site quality concerns using statistical and reliability methods. This role is a hybrid role based remotely in Detroit. Selected candidates will be required to work onsite for a minimum of two days per week. What we do The Quality team ensures Symbotic products successfully transition from development into production by partnering cross-functionally with Engineering, Manufacturing, Supply Chain, and Test teams. Encompassing product, site, manufacturing, and supplier Quality, the team focuses on quality planning, defect prevention, and process validation from prototype through production, using product and field data to drive continuous improvement. By embedding strong quality practices early in the product lifecycle, the team helps ensure reliable product launches and consistent system performance. What you’ll do Manage supplier quality activities for assigned suppliers and contract manufacturers to ensure compliance with Symbotic quality standards and customer requirements. Serve as the primary quality contact for suppliers and contract manufacturers, supporting issue resolution and ongoing quality performance. Conduct supplier audits, assessments, and reviews to evaluate compliance and identify opportunities for improvement. Support quality planning activities throughout the product lifecycle, including new product introduction, production readiness, and sustaining operations. Lead root cause investigations and corrective actions using structured problem-solving methodologies such as QRRC, 8D, A3, and 5-Why. Partner with Engineering, Supply Chain, Manufacturing, and supplier teams to resolve quality issues and prevent recurrence. Monitor supplier quality performance through metrics and KPIs, identifying trends and driving improvement actions as needed. Support process improvement initiatives focused on enhancing product quality, manufacturing efficiency, and supplier performance. Maintain quality documentation and provide regular updates on supplier performance and quality concerns. Mentor and support less experienced team members as appropriate. Travel to supplier and contract manufacturing locations as needed. Perform other duties as assigned. What you’ll need Bachelor’s degree in engineering or related discipline is preferred. Related work experience is required. Minimum of 3 years of quality engineering experience within a regulated manufacturing environment preferred. Proficient in quality management concepts, tools, and methods (FMEA, DOE, MSA, GRR, 8D, etc.). Experience with Control Plans, FMEAs, and PPAP or equivalent part approval processes. Knowledge of engineering fundamentals and the ability to identify critical control points. Familiarity with statistical process control software such as SAA, Minitab, and JMP, along with advanced Excel skills for data organization and analysis. Strong communicative, quantitative and analytical skills with the ability to translate findings into actionable business decisions. CQE and Six Sigma Black Belt certification preferred (must demonstrate deep core knowledge). Certified or previously certified ISO 9001 or AS9100 auditor preferred. Our Environment Up to 25% of travel, both domestic and international, may be required. Employees must have a valid driver’s license and the ability to drive and/or fly to client and other customer locations. The employee is responsible for owning a credit card and managing expenses personally to be reimbursed on a bi-weekly basis. #LI-TS1 #LI-Remote About Symbotic Symbotic is an automation technology leader reimagining the supply chain with its end-to-end, AI-powered robotic and software platform. Symbotic reinvents the warehouse as a strategic asset for the world’s largest retail, wholesale, and food & beverage companies. Applying next-gen technology, high-density storage and machine learning to solve today's complex distribution challenges, Symbotic enables companies to move goods with unmatched speed, agility, accuracy and efficiency. As the backbone of commerce the Symbotic platform transforms the flow of goods and the economics of supply chain for its customers. For more information, visit _. We are a community of innovators, collaborators and pioneers who embrace our differences, because we know unique perspectives make us stronger and smarter. Every perspective matters. We depend on the collective voices of our employees, customers and community to help guide us as we build a better place to work – for you and the world. That’s why we’re proud to be an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information. The base range for this position in the posted location is $82,000.00 - $126,000.00 however, base pay offered may vary depending on job-related knowledge, skills, and experience. The compensation package includes medical, dental, vision, disability, 401K, PTO and/or other benefits.

Infrastructure Solutions Group (ISG) builds the products that power infrastructure, solutions, and data management our customers need most. Our teams design and develop the hardware and software that connect infrastructure, accelerate computational workloads, integrate across the stack, protect data continuity, and deliver the platforms, applications, and diagnostics our customers rely on every day at enterprise scale.Some product builders follow the rules. Ours rewrite them.Within ISG, innovation isn't just about creating new technology- it's about challenging assumptions and reimagining how work gets done. Engineers define intent, author precise specifications, and orchestrate AI agents that execute at speed and scale. AI is embedded throughout our development process, helping us move faster, learn quicker, and deliver greater impact. Yet the most important contribution remains uniquely human: deciding what to build, designing how it should work, and applying the judgment needed to earn our customers' trust. When your products power critical infrastructure around the world, that responsibility matters.We move quickly toward the work that matters most. We reward experimentation, encourage bold thinking, and remove unnecessary barriers so great ideas can become reality faster. Our teams embrace a customer-first, first-to-market mindset, transforming rapid feedback into better products and better outcomes. We aren't looking for people who are content with the status quo- we look for builders who question it, improve it, and occasionally rewrite it.If you're energized by solving complex systems challenges, excited to work alongside AI to amplify ermal Engineer AI InfrastructureThermal Engineering leads and delivers the development of innovative and compliant thermal design solutions, as well as cross-functional interfaces for computer systems and peripherals. Our team conducts the analysis, feasibility studies and testing of thermal products, instruments, subassemblies and packaging for new and existing products - and then oversees the introduction of design changes to the manufacturing organizations.What you'l

Parallel Wireless is reimagining mobile networks with innovative, energy-efficient Open RAN solutions. Join us as we lead the future of telecommunications, driving innovation through green and sustainable networks. _. Position SummaryThe Principal Systems Engineer (Technical SME) provides senior technical leadership for U.S. Department of War and Federal wireless communications, networking, and sensing solutions. This role requires deep expertise in DoW network/communications CONOPS and mission needs, software-defined RF systems, AI/ML-enabled wireless networks, adaptive networking, and integrated communications and sensing. • Serve as principal technical authority for wireless communications, networking, and integrated communications and sensing architectures., • Primary technical support for Federal/DoW customer engagements, • Lead customer RFP technical responses and capability white papers, • Shape strategy for O-RAN–based 5G/6G, distributed sensing, and cognitive EMSO operations., • Architect software-defined RF systems integrating communications, networking, and sensing., • Design AI-driven (O-RAN RIC and applications) resilient wireless networks with adaptive resource management., • Lead solutioning, architecture, and design of multi-waveform radios, waveforms, and SDN-enabled architectures., • Conduct modeling, simulation, and performance assessments., • Advise DoW and Federal leaders on communications, networking, and sensing architectures., • Lead technical exchanges, CONOPS development, and capability road mapping., • Provide technical leadership for captures, proposals, and complex programs as Chief Engineer or Technical Lead., • Master’s or PhD in Electrical Engineering, Computer Engineering, or related field (or equivalent experience)., • 10+ years of experience in wireless (tactical and cellular) dual-use communications, networking, sensing, or cognitive systems., • System-level expertise in software-defined radio (SDR), software-defined networking (SDN/SD-WAN), and virtualized networks., • Expertise in RF communications, mesh networking, and integrated communications/sensing., • Experience with 5G/6G, O-RAN, tactical radios, and multi-domain MANET/mesh networks., • Knowledge of RF sensing, EW awareness, and spectrum operations., • Experience with DoW, NATO, and joint interoperability architectures (e.g., CMOSS, 3U-VPX)., • Knowledge of DoW and Federal communications requirements and network modernization efforts., • US citizen with the ability to obtain and maintain US security clearance., • Ability to obtain and maintain a U.S. Government security clearance, as required for the role., • Currently holding an active U.S. Secret clearance or Top Secret clearance., • Patents, Publications and standards contributions, • Prior experience as Chief Engineer, Technical Director, or Technical Fellow.Equal Employment Opportunity & AccommodationsWe are an Equal Opportunity Employer and consider applicants without regard to legally protected characteristics. If you need a reasonable accommodation to apply or interview, please let us know. Parallel Wireless is expanding the ecosystem for Open RAN with the GreenRAN™ energy-efficient Hardware-Agnostic technology. Deployed worldwide, our comprehensive 2G/3G/4G/5G Macro RAN solutions enhance network security while reducing operating expenses. As pioneers of Open RAN, we prioritize innovation, flexibility, and sustainability to help build a more connected, and green networks. Headquartered in the USA with global R&D centers, we are proud to serve over 60 customers worldwide and have been recognized with over 100 industry awards. Our mission is to accelerate GSMA’s Mobile Net Zero initiative by reducing TCO and driving innovation across the telecom more at.Parallel Wireless embraces diversity and equality of opportunity. We are committed to building inclusive and diverse teams representing all backgrounds, with a wide range of perspectives, and empowering industry-leading skills. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification _ Wireless does not accept unsolicited resumes or applications from agencies or individuals. Please do not forward resumes to our jobs alias, Parallel Wireless employees, or any other company location. Parallel Wireless is not responsible for any fees related to unsolicited resumes/applications.

As a Principal Software Engineer at SailPoint you will be a key member of our engineering leadership team driving the overall design and development of our Identity Security Platform Atlas. Seek to deeply understand current state of identity security industry our business problems or common engineer

Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage)

About the Company Our client is a rapidly developing clinical-stage biotechnology company focused on highly personalized cancer therapeutics, with a particular emphasis on individualized mRNA-based cancer vaccines. The company is building a technology platform designed to translate patient-specific tumor biology into personalized therapeutic products. As the organization advances its clinical programs and increases patient volume, it is seeking a senior computational leader to own and scale the bioinformatics infrastructure underpinning this process. This is a highly visible opportunity to join an ambitious, technically sophisticated organization at a pivotal stage of development. The Opportunity The company is seeking a Director / VP, Bioinformatics & Computational Oncology to take ownership of its computational and bioinformatics infrastructure supporting personalized cancer vaccine programs. This is not a pure management position. The successful individual will initially remain highly hands-on, working directly with patient sequencing data, developing and improving production pipelines, investigating complex genomic findings, and collaborating closely with scientific and clinical teams. The role will span the complete computational workflow from patient tumor sequencing through genomic interpretation, neoantigen identification and prioritization, and personalized vaccine design. Over time, the individual will establish the architecture, processes and team required to transform an increasingly patient-specific workflow into a scalable computational platform capable of supporting significantly greater clinical volume. Key Responsibilities Computational Oncology & Patient-Specific Genomics • Own the computational analysis supporting individualized cancer vaccine programs from raw patient sequencing data through vaccine design., • Lead production analysis of tumor/normal WES and WGS and tumor RNA-seq datasets., • Develop and oversee workflows for:, • Somatic SNV and indel calling, • Copy-number and other genomic alterations, • Gene-expression analysis, • HLA typing, • Neoantigen identification and prioritization, • Structural-variant and fusion detection, • Integration of genomic and transcriptomic data, • Interpret patient-specific genomic and transcriptomic findings in the context of tumor biology, clonality, variant allele frequency and sequencing limitations., • Independently investigate ambiguous or technically challenging patient-specific findings and determine the appropriate computational approach., • Support scientific teams through patient design review and design-lock activities, translating complex computational findings into clear, actionable conclusions. Production Bioinformatics Platform • Take ownership of existing computational workflows and establish robust, reproducible production infrastructure., • Build and maintain scalable bioinformatics pipelines capable of supporting multiple individual patient programs., • Establish appropriate standards for:, • Quality control, • Data provenance, • Version control, • Reproducibility, • Pipeline validation, • Documentation, • Auditability, • Identify opportunities to automate manual elements of the current tissue-to-dose computational workflow., • Develop infrastructure that allows increasing patient volume without a proportional increase in manual computational effort., • Work across Linux/HPC and cloud-based computational environments as appropriate. Technology & Innovation • Evaluate and appropriately incorporate emerging computational approaches, including AI/ML and advanced models for biological data., • Work with external AI and computational collaborators to translate promising approaches into practical, validated workflows., • Evaluate opportunities to incorporate agentic workflows and automation into the broader computational platform., • Balance scientific innovation with the robustness, reproducibility and traceability required for clinical-stage development. Cross-Functional Collaboration • Partner closely with scientists, immunologists, clinical teams and other technical functions throughout individual patient programs., • Translate complex genomic and computational outputs into clear conclusions for non-computational stakeholders., • Participate in patient-specific design discussions and contribute computational expertise to key development decisions., • Work with external sequencing providers, technology partners and other collaborators where required., • Ensure computational outputs are appropriately documented and communicated to support scientific, clinical and regulatory activities. Team & Function Building • Establish the long-term architecture and operating model for the company's computational biology and bioinformatics function., • Initially remain an individual technical contributor while progressively building and leading a high-performing computational team., • Recruit, mentor and develop bioinformatics and computational biology talent as the company's programs and patient volume expand., • Define technical standards, development practices and scientific priorities for the function., • Ultimately build a scalable organization capable of supporting multiple personalized therapeutic programs. Required Experience The ideal candidate will combine deep cancer genomics expertise with strong software and computational engineering capability. Essential experience includes: • Significant industry experience in bioinformatics, computational biology, computational oncology, cancer genomics or a closely related discipline., • Deep experience working with NGS data, particularly:, • WES, • WGS, • Tumor RNA-seq, • Strong understanding and practical experience with somatic variant calling and interpretation., • Strong understanding of tumor biology, including clonality, variant allele frequency, tumor purity and sequencing limitations., • Demonstrated ability to develop and maintain production-grade bioinformatics pipelines, rather than simply operating commercial or pre-existing tools., • Strong programming capability in Python and/or R., • Strong experience working in Linux/HPC and/or cloud environments., • Experience building reproducible computational workflows with appropriate QC, provenance, versioning and validation., • Ability to independently investigate complex or ambiguous patient-specific genomic findings., • Experience collaborating directly with biologists, clinicians and other scientific stakeholders., • Demonstrated ability to operate in an entrepreneurial or rapidly changing environment where the individual is expected to build systems while simultaneously using them to support active programs., • A willingness and ability to remain technically hands-on despite operating at Director, Senior Director or VP level. Preferred Experience Experience in one or more of the following would be highly advantageous: • Personalized cancer vaccines, • mRNA-based cancer therapeutics, • Neoantigen discovery and prioritization, • HLA typing and antigen-presentation prediction, • RNA-based fusion and structural-variant analysis, • Immunopeptidomics, • TCR sequencing / immune repertoire analysis, • Clinical or regulated genomics, • CLIA/CAP laboratory environments, • Sequencing vendors or clinical sequencing workflows, • CDMO or clinical-development environments, • Cloud-based computational infrastructure, • AI/ML applied to genomics, oncology or biological datasets, • Experience translating computational research workflows into production systems, • Previous leadership of a computational biology or bioinformatics team A PhD in Bioinformatics, Computational Biology, Genomics, Cancer Biology, Computer Science or a related discipline is preferred, although exceptional candidates with equivalent industry experience will be considered. The Ideal Candidate The strongest candidates are likely to be individuals who sit at the intersection of cancer biology, computational genomics and software engineering. They should be scientifically sophisticated enough to understand why a particular patient-specific genomic finding matters, while being technically capable of building the pipeline required to identify and interpret that finding. The company is not seeking: • A pure people manager who has moved away from technical work., • A generic data-science leader without deep cancer genomics experience., • A software engineer without substantial biological and NGS expertise., • A computational biologist whose experience is primarily academic or exploratory rather than production-oriented. The ideal individual is a builder who can personally solve difficult computational problems today while establishing the architecture and team that will allow the organization to scale tomorrow. Expected Progression First 3–6 Months • Take ownership of existing computational workflows., • Become deeply familiar with active patient programs., • Independently support patient-specific genomic analyses., • Identify critical gaps in existing pipelines and infrastructure., • Begin standardizing analysis, QC and documentation. 6–12 Months • Establish reproducible and scalable workflows across patient programs., • Improve automation and reduce manual computational effort., • Integrate structural-variant and fusion analysis into the broader workflow., • Strengthen provenance, validation and auditability., • Support increasing patient volume without proportional increases in manual analysis. Long Term • Develop a scalable computational platform supporting the company's personalized therapeutic programs., • Establish and lead the broader computational biology/bioinformatics function., • Build and develop a high-performing technical team., • Introduce appropriate AI/ML and automation capabilities., • Establish computational infrastructure capable of supporting the company's continued clinical development and growth. Seniority The company is open to Director, Senior Director or VP-level candidates. The title will be calibrated according to the individual's technical depth, leadership experience and ability to architect and build the broader function. Regardless of title, the successful candidate will initially be expected to remain highly hands-on. Compensation & Package A competitive U.S. executive-level compensation package will be offered, including: • Competitive base salary commensurate with experience and level, • Performance-based bonus, • Equity participation, • Comprehensive benefits package The company is willing to calibrate compensation for an exceptional candidate with highly relevant personalized oncology, cancer genomics, mRNA vaccine or neoantigen experience. Why This Opportunity This is an opportunity to take ownership of a critical computational function at a company developing highly personalized cancer therapeutics. The successful candidate will have the opportunity to: • Own the computational architecture underlying personalized therapeutic design., • Work directly with real patient genomic data and active clinical programs., • Solve technically challenging problems at the intersection of cancer biology, genomics and computational science., • Build production infrastructure rather than simply maintain established systems., • Influence the company's technology strategy as the platform scales., • Build and eventually lead the computational biology organization., • Work at the intersection of precision oncology, personalized vaccines, NGS, computational biology and AI.

AI Engineer Location: Remote, Nationwide Our client is building the next generation of intelligent software, where AI is expected to do more than generate a compelling response. The goal is to create dependable AI experiences that understand context, take action, and complete meaningful work for users. They are seeking an AI Engineer who can bridge machine learning, software engineering, infrastructure, and product development to turn rapidly advancing model capabilities into reliable production systems. This Role Offers • Fully remote opportunity available to candidates across the United States., • High-impact work spanning machine learning, AI systems, infrastructure, and product development., • End-to-end ownership from technical exploration through production deployment and continuous improvement., • Opportunity to build practical LLM and agent-based systems using modern AI engineering technologies., • Fast-moving, collaborative environment that values engineering judgment, technical quality, and demonstrated impact over pedigree. Focus • Build and ship production AI capabilities that connect model intelligence with dependable user experiences., • Develop LLM systems involving prompting, tool use, contextual memory, agent workflows, and multi-step execution., • Transform probabilistic model outputs into consistent, structured, and reliable application behavior., • Own solutions across model integration, infrastructure, deployment, monitoring, and product delivery., • Diagnose issues across model behavior, orchestration, infrastructure, application logic, and user experience., • Improve AI performance across quality, latency, cost, scalability, and production reliability., • Develop practical evaluation methods and use real-world signals to drive measurable system improvements., • Collaborate across product and engineering to turn ambiguous challenges into scalable, production-ready solutions. Skill Set • Strong foundation in machine learning, neural networks, and modern model architectures., • Hands-on experience training, fine-tuning, integrating, serving, or deploying machine learning models., • Strong software engineering skills with the ability to write clean, maintainable, production-quality code., • Applied experience with LLM systems, including prompts, tools, memory, agents, inference, and evaluation., • Ability to work across model, infrastructure, and product layers rather than exclusively within modeling or research., • Strong Python skills and familiarity with frameworks such as PyTorch, JAX, or comparable ML technologies., • Strong problem-solving and debugging skills in ambiguous, rapidly evolving technical environments., • Demonstrated engineering judgment, end-to-end ownership, increasing technical scope, and a bias toward shipping and iteration. About Blue Signal: Blue Signal is an award-winning, executive search firm specializing in various specialties. Our recruiters have a proven track record of placing top-tier talent across industry verticals, with deep expertise in numerous professional services. Learn more at bit.ly/46Gs4yS

Job Role – C++ Storage Developer Location: Redmond, WA(Remote) Primary Skills Storage Systems, Low-Level Programming, storage hardware (Gen12 and beyond), (SSD/HDD/Cloud storage internals), Storage Device, Storage protocol (NVMe), C/C++, Python Job Description Required Skills & Qualifications: • Senior Software Engineer with experience in between 4 -8 years and strong expertise in storage systems and low-level software development, focused on building diagnostics for next-generation storage hardware (Gen12 and beyond)., • Proven expertise in storage technologies (e.g., SSD/HDD/Cloud storage internals)., • Must have skills: Storage Device, Storage protocol (NVMe), C/C++, Python, • Required: Exposure to NVMe storage protocols and technologies, • Preferred: Exposure to storage protocols and technologies (e.g., SATA, SAS, RAID, file systems)., • Nice to have skills: SQL, Tool development, Rust, Windows and Linux, Powershell Varun Yadav NLB Services is an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to any legally protected characteristic, including disability and protected veteran status. For recruitment accommodations, contact your recruiter or .

About Sapio Sciences Sapio Sciences is on a mission to accelerate scientific drug discovery and high-throughput clinical and diagnostics for our clients and partners. The Sapio team consists of expert and highly collaborative scientists, software developers, and professionals passionate about providing a best-in-class lab informatics platform and industry-specific solutions. Sapio is one of the few software providers to offer a truly unified and highly configurable lab informatics platform and a broad suite of purpose-built solutions. The Sapio platform makes it easy for scientists, laboratory, and bio/informatics professionals to streamline and manage their end-to-end laboratory operations, from instrument data integration to workflow and experiment setup to sample and materials management, data management, and scientific data analysis and reporting. Working at Sapio At Sapio, we’re not just building lab informatics solutions. We’re creating tools made for the scientist and motivated to make the world a better place. We understand that lab informatics is about more than managing data or connecting workflows. It’s about making life easier for the scientist and making scientific progress faster for everyone. Our platform delivers the levels of configurability, usability and insight that scientists have only ever dreamed of. We’re a team of scientists, developers and innovators who question convention and stay focused on what matters most - advancing drug discovery science. We challenge the status quo and respond to the needs at the heart of science with powerful solutions that are simple to use, effortless to evolve and downright easy to love. As part of the Sapio team, you’ll work in a collaborative and forward-thinking environment where your ideas are valued, your growth matters and your work makes a difference. We’re proud to partner with leading labs around the world, from ambitious start-ups to global organisations, who trust Sapio to support discovery, development and diagnostics with industry-first science-aware solutions. Position Summary The Customer Support Engineer is the first point of technical ownership for customer-reported issues on the Sapio platform. The role triages incoming tickets, diagnoses them, restores customer operations through configuration changes and workarounds, and engages specialist teams where deeper investigation is needed. Support owns the ticket from intake to closure. Ownership stays with the Customer Support Engineer even when the Platform Team, Tech Enablement, DevOps or Delivery are engaged to assist. The role is measured on service level performance, on how much is resolved within Support without avoidable escalation, and on the quality of the knowledge and documentation left behind. Working Location Candidates must be located on the West Coast, USA to be considered for this position. Essential Responsibilities Essential Responsibilities include the following. Other duties may be assigned. Ticket ownership and triage Triage every assigned ticket: establish what the issue actually is, assign a severity from S1 to S4 based on operational impact, and gather the reproduction steps, environment detail and platform version needed to progress it. Own assigned tickets end to end, from intake through to customer-confirmed closure, including where other teams are engaged to assist. Coordinate those teams and keep the ticket moving. Maintain accurate ticket classification, severity and hygiene so support data is reliable for trend analysis, reporting and product feedback. Meet published Service Level Agreement commitments for response and update, and raise risk to the VP Technical Delivery early where a commitment is at risk. Diagnosis and resolution Reproduce reported issues in a test environment, review application logs and system diagnostics, and use AI-assisted tooling to surface similar past cases, known issues and documented resolutions. Resolve as much as possible within Support: configuration correction, data investigation, guidance and workarounds. Refer outward only where the evidence points to a platform defect, an infrastructure fault, or work outside the Support remit. Develop and document workarounds that restore customer operations, and confirm with the customer that the workaround is adequate before the investigation continues. Reproduce and evidence a suspected defect before referring it to the Platform Team, and provide a complete referral summary: reproduction steps, diagnostic findings, workaround status, customer impact and service level time remaining. Distinguish platform defects from customer-specific configuration, from custom code delivered during implementation, and from requests for new scope. Route the latter categories to Delivery through the Customer Success Manager or Account Manager rather than into the defect backlog. Contribute root cause analysis documentation for confirmed critical defects and for recurring problems. Customer communication Maintain clear and timely customer communication throughout the ticket lifecycle, including realistic expectations on what happens next and by when. Explain technical findings in terms the customer team can act on, and adjust the level of detail to the audience, from laboratory end user to customer IT. Support customers across Sapio-hosted and customer-hosted deployments, working alongside the customer IT team where the issue sits in infrastructure they control. Knowledge and continuous improvement Build and maintain working knowledge of the Sapio platform, including core LIMS and ELN modules, configuration, data types, workflows, rules, plugin and webhook behaviour, and common integration patterns. Create and maintain knowledge base articles, runbooks and troubleshooting guides from resolved tickets. Treat a recurring issue as a documentation gap to be closed. Identify trends across the queue and raise product, documentation and process improvement opportunities to the VP Technical Delivery. Contribute to the continuous improvement of support processes, triage standards and tooling. Qualifications — Education/Experience Bachelor's degree in Computer Science, Information Technology, a Life Science, or a related technical field, or equivalent experience. 2+ years in a customer-facing technical support role on an enterprise software product, preferably a hosted or SaaS platform. 3+ years of Life Sciences experience working within or alongside a laboratory, preferably introducing new IT solutions. 3+ years of experience configuring LIMS, ELN or comparable scientific informatics software. Required Skills & Abilities Structured troubleshooting. Able to work from symptom to root cause using logs, diagnostics and reproduction rather than trial and error, and able to say clearly what is known, what is assumed and what is still unproven. Strong technical knowledge of cloud-hosted enterprise applications, with a clear understanding of the difference between vendor-hosted and customer-hosted environments and where responsibility sits in each. Ability to read application logs and query data to evidence a problem. Familiarity with SQL, and comfort reading configuration or scripting such as Python. Familiarity with ticketing and support tooling such as Jira, knowledge base platforms and remote session tools. Understanding of severity, service level and escalation models, and the discipline to work within them. Able to hold ownership of an issue while coordinating other teams, without either handing it off or escalating prematurely. Excellent written communication. Able to produce a customer update or a knowledge base article that needs no rewriting. Excellent interpersonal skills, with the ability to explain technical concepts clearly to non-technical customers. Awareness of working with customers in a regulated (GxP) environment, including the change control, documentation and validation implications of a change. Ability to multitask and prioritise across a live queue in a fast-paced environment while maintaining attention to detail. Strong desire to provide excellent customer service and exceed customer expectations. Self-starter who is happy to learn from colleagues. Focused on activities that add value and avoiding those that do not. Determined and persistent. Maintain the highest standards of integrity and respect for coworkers, customers and prospects. What We Offer At Sapio Sciences, we recognise that our people are our greatest strength. That's why we're proud to offer: A competitive salary and benefits package Flexibility to work remotely, with opportunities to travel A comprehensive onboarding and training programme Ongoing opportunities for professional growth and development A collaborative, inclusive, and supportive work environment Our People At Sapio Sciences, our people are at the heart of everything we do. Our lab informatics solutions are powered not just by technology, but by a shared commitment to our core values—what we proudly call The Sapio Seven, aka EMBRACE: • Embrace the future • Make a difference • Be true partners • Remember why we’re here • Act with empathy • Commit to transparency • Excel in quality These values shape how we work, how we grow, and how we deliver impact for our clients every day. Reasonable Adjustments We are committed to ensuring an inclusive and accessible recruitment process. If you require any reasonable adjustments, at any stage across the application, interview & assessment processes then please let us know. We will work with you to support your needs in confidence. Diversity, Equity & Inclusion We do not discriminate based on race, colour, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or any other status protected by law or regulation. We intend that all qualified applicants be given equal opportunity and that selection decisions are based on job-related factors. We are committed to creating a diverse and inclusive workplace and encourage applications from all qualified individuals. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

FEA Consulting Engineer Company Description The team members of Rand Simulation have a steeped history in helping organizations bring their product vision to reality through incorporating engineering simulation technology into the product development process. Rand Simulation operates as an Elite North American channel partner for Ansys (NASDAQ: ANSS) to further strengthen its collaborative consulting services while striving for the strongest customer value-add. In the first four years of operation, Rand Simulation has already been awarded the coveted title of Ansys Americas Channel Partner of the Year twice in the past 4 years, Ansys Elite channel partner, and is the fastest growing partner in North America We are looking for a Finite Element Analysis (FEA) simulation specialist with knowledge of ANSYS structural software packages. This is a remote position. What will you be responsible for? The Rand Simulation business model leverages a collaborative approach, combining the analysis expertise of our simulation consultants with the design expertise of our clients. Our goal as the simulation experts is to serve as an extension of our client's team to empower impactful performance insight through simulation to drive informed design decisions. You will be responsible for leveraging advanced-level engineering principles so not only execute on consulting projects, but also to assist Rand Simulation's account managers with scoping and leading customers to solutions.. You will be responsible for leveraging advanced-level engineering knowledge and relationships to support Rand SIM’s account managers with significant impact on revenue goals, as well as for helping customers to solve complex engineering problems using ANSYS software products. Essential Responsibilities: • Primary role of the consulting engineer is to act as lead on specific consulting projects with responsibility of running simulations for clients, leading design review meetings, interpreting results and suggesting recommended design modifications based on simulation findings and industry design knowledge., • Staying up to date with ANSYS platforms and expanding knowledge of ANSYS tools through trainings and self-guided education to enable expansion into additional consulting industries., • Interfacing with Rand Simulation sales and business development teams on ANSYS simulation consulting opportunities to provide technical guidance, credibility, and subject matter expertise., • Analyze prospect and customer technical needs, requirements, infrastructure, operations, and engineering workflows as it relates to services engagements to ensure an application fit and create/demonstration recommended simulation solutions., • Articulate ANSYS’ value proposition primarily around the business unit solutions for consulting services., • Work with RandSim marketing team to generate blog posts, white papers, webinars, and other content related to key initiatives for your team and consulting services., • Occasionally provide ANSYS training (basic and customized), mentoring, account follow-up and technical support to assist clients in the adoption and ROI of their ANSYS technology investment. Who are we looking for? • M.S./B.S./B.A. in Mechanical Engineering, Structural Engineering, Physics, or similar discipline, • 4 years + of mechanical or structural engineering/design experience, • 4 years + of FEA/structural analysis experience with ANSYS Mechanical, • LS-Dyna experience strongly desired, • Ansys Motion, Adams, or similar Multibody Dynamics experience strongly desired, • nCode or other specialized fatigue code experience strongly desired, • Experience using Altair, FEMAP/NX, MSC/PATRAN, Autodesk Nastran, Simulation Mechanical/Algor, COMSOL, Abaqus, Simulia, or similar codes a plus, • Proven experience with multiple structural analysis methods (rigid body dynamics, transient analyses, nonlinear static/transient, modal, linear dynamics, etc.), • Experience with multiphysics, fatigue, and explicit dynamics strongly desired, • Experience with MAPDL and/or Python coding strongly desired, • Knowledge of underlying FEA principles such as linear algebra, partial differential equations, etc., • Extensive proficiency in 3D CAD systems (Inventor and/or SolidWorks preferred), • Strong interpersonal and communication skills with the ability to facilitate and conduct webinars and presentations to customers, • A logical problem-solving approach and ability to clearly communicate the situation and proposed solution to a customer, • A self-starter and motivator with an engaging personality and strong energy, • Ability to manage time effectively while balancing multiple projects in a fast-paced environment, • Ability to work directly with clients and clearly articulate findings and design recommendations, • Ability to work diligently alone when needed, but knows when to seek help, • Highly developed learning and thinking ability with direct client-facing experience, • Registered Professional Engineering (PE) license preferred, but not mandatory, • Willingness to travel up to 10% What do we stand for? INTEGRITY We are honest, ethical, straightforward people in dealing with our employees, our customers, and our shareholders. TEAMWORK Every Rand Simulation team member is important to the success of our company. COMMUNICATION We listen to our people, our clients and our prospects. INNOVATION We think and act creatively. We help our clients to be innovative through leveraging technology and approaches that ensure their success. Are you up for a new challenge? Join Rand Simulation now! Visit us at randsim.com for more information. We thank all applicants in advance for their interest, but only those applicants who are to be considered will be contacted. Must be authorized to work in the U.S for any employer without company sponsorship. We celebrate employment equity and diversity! We encourage applications from all qualified individuals and do not discriminate based on disability, race, ethnicity, religion, gender, sexual orientation, age, veteran status or any other basis protected under federal, state, provincial or local laws. We are committed to providing reasonable accommodations for persons with disabilities. If you require reasonable accommodation during the application process, we will work with you to meet your needs. Please send all inquiries regarding accommodations to . Be sure to include your name, the job you are interested in, and the accommodation you are seeking. Solutions, CFD, FEA, Electromagnetics, Engineering, Manufacturing, Mechanical, Aerospace, ANSYS, HFSS, Maxwell, EDA, Electronic Design Automation, Consulting, Licensed Engineer, Professional Engineer, Solidworks, Pro Engineer, Inventor, Creo, COMSOL

Your Role As the Strategic Applications Manager working remotely, you will operate at the vital intersection of high-level technical problem-solving and strategic relationship building. Reporting to President of the North America office, you won’t just manage accounts you will act as a deeply embedded technical consultant and innovation driver for our highest profile Tier-1 clients across Aerospace & Defense, Medical Devices, Automotive, and Advanced R&D. By speaking "engineer-to-engineer" with PhDs and R&D leads, you will identify critical engineering pain points, engineer custom solutions using Pico’s software-defined T&M platform, and build the long-term technical trust required to integrate our technology into their future product roadmaps. What You’ll Be Doing • Acting as the primary technical expert for Tier-1 accounts, diagnosing complex engineering challenges, and proposing high-impact, custom hardware and software solutions., • Embedding yourself within client R&D and engineering departments to identify new opportunities for collaboration and expansion across military, medical, and aerospace sectors., • Building deep technical trust with client engineering teams to ensure Pico’s PC-based oscilloscopes, data loggers, and RF products are designed into their long-term project roadmaps., • Developing and executing a targeted key account channel management program to successfully penetrate new customers and industries across the US market., • Tailoring and adapting highly technical presentations and demonstrations for diverse sectors, ranging from life-saving medical tech to mission-critical defense systems., • Bridging the gap between the client’s unique engineering needs and Pico’s internal capabilities to ensure seamless execution of custom applications. What You’ll Need • A Bachelor’s degree in Electronic Engineering or equivalent hands-on experience using oscilloscopes, data loggers, high-speed instrumentation, or RF systems., • 3 to 5+ years of success in an Applications Engineering, Field Engineering, or Technical Sales role, with a track record of working within R&D-heavy industries., • Experience in applications relating to the design, development, and control of signal acquisition systems., • The unique ability to communicate fluently and confidently with PhD-level researchers and R&D leads while maintaining a sharp, strategic business perspective., • A natural, driven curiosity for how complex systems work and a passion for turning technical hurdles into functional realities., • Demonstrated capability to proactively develop and execute new business opportunities to expand account footprints. At Pico Technology, we’re not just about creating world-class test & measurement tools - we’re about creating an inspiring workplace where every team member can thrive. What's in it for you? • Active Sports & Social Committee, • Health Insurance, • Simple IRA with Company Match, • Annual Company Party, • Wellbeing Room onsite, • Bean to cup coffee and soft drinks onsite If you’re looking to escape the ordinary and take on a varied, rewarding role, this is your chance to join a company where your skills will make a real impact. Are you ready to apply? If you are as excited as we are, hit the apply button below and let us get your next chapter started. Apply today: We cannot wait to welcome you on board!

About the Company: LightSpun is a rapidly growing SaaS company revolutionizing healthcare administration in the dental, vision, and accident insurance domains. We offer a comprehensive, end-to-end platform for providers and payers, aiming to empower our clients with cutting-edge technology for exceptional service and operational efficiency. Our work involves building AI-first scalable services for healthcare administration tasks such as credentialing, onboarding, and managing brokers, providers, members, and claims. About the Role: We are seeking a Software Engineer to build features and services on our healthcare administration platform. You'll ship production code from early on, working within a team that includes senior engineers who will support your growth through design reviews, code reviews, and pairing. This is a remote-first role collaborating with teammates across the US and our Bengaluru engineering hub. Location: Remote (United States) Responsibilities: • Feature Development: Implement, test, and ship well-scoped features and services across our platform, growing toward end-to-end ownership., • Code Quality: Write clean, tested, maintainable code, and participate actively in code reviews — both giving and receiving feedback., • Production Mindset: Learn to operate what you build: monitoring, debugging production issues, and contributing to incident follow-ups., • Compliance Awareness: Build with security and privacy in mind, following our standards for a regulated healthcare environment (e.g., HITRUST, SOC 2, HIPAA)., • Collaboration: Work with product, QA, and engineers across time zones; communicate progress and blockers clearly in an async, remote-first environment. Qualifications: • Bachelor's degree in Computer Science or a related field, or equivalent practical experience., • 2+ years of professional software development experience (or strong internship/project experience with demonstrated production impact)., • Proficiency in Python or a comparable backend language, with willingness to work primarily in Python., • Familiarity with web service fundamentals: APIs, databases, testing, and version control., • Exposure to cloud platforms (e.g., AWS, GCP, Azure) and Docker is a plus., • Interest in AI-assisted and agentic software systems is a plus., • Experience or interest in healthcare or insurance technology is a plus., • Clear written communication and eagerness to learn in a remote team., • Authorized to work in the United States. Equal Opportunity Statement: LightSpun is an equal opportunity employer committed to diversity and inclusivity. We encourage applications from individuals of all backgrounds and experiences. Please email your resume to .

DISCLAIMER: While we appreciate and review all applications, we are only able to respond to qualified applicants. Thank you for your understanding. Company Background Our client is a global leader in warehouse and logistics solutions, helping businesses move, store, and manage products more efficiently. With a strong focus on innovation and growth, the company delivers smart solutions that keep modern supply chains running smoothly. The Position As their Controls SCADA Engineer, you’ll support the design, development, integration, commissioning, and ongoing support of SCADA and controls systems for industrial material-handling and automation projects. This role will work closely with controls engineering and project teams to develop reliable visualization and automation solutions, troubleshoot complex system issues, and support projects throughout the design-to-production lifecycle. Primary responsibilities include: • Design and deliver SCADA, HMI, visualization, and PLC-based control solutions for industrial automation and material-handling systems., • Troubleshoot and optimize control systems, software, connectivity, Linux environments, and virtual machine infrastructure to ensure reliable system performance., • Lead system testing and deployment through emulation, commissioning, upgrades, and ongoing maintenance of installed systems., • Collaborate across teams to deliver projects from design through production, while providing technical guidance, training, and knowledge sharing to colleagues and customers., • Drive technical excellence through clear documentation, system standards, and responsive customer support, with travel to domestic and international project sites as required. Qualifications and Candidate Background The ideal candidate will have: • 2+ years of total work experience, • Bachelor’s degree in Controls Engineering or a related field, or equivalent experience., • Hands-on experience in Controls Engineering, SCADA, HMI, PLC programming, or industrial automation., • Experience in material handling, industrial automation, warehouse automation, or a related environment is preferred., • Ability to work collaboratively with engineering and project teams and provide technical guidance when needed. Location This role offers a remote position with up to 70% travel requirement within Grand Rapids, MI. Your information will not be shared with any outside parties without your prior consent.

Title: Senior Software Engineer Openings: 2 Location: 100% Remote Hours: Must be available to work EST hours About eNGINE eNGINE builds Technical Teams. We are a Solutions and Placement firm shaped by decades of interaction with Technical professionals. Our inspiration is continuous learning and engagement with the markets we serve, the talent we represent, and the teams we build. Our Consulting Workforce is encouraged to enjoy career fulfillment in the form of challenging projects, schedule flexibility, and paid training/certifications. Successful outcomes start and finish with eNGINE. Role Overview eNGINE is looking for two Senior Software Engineers to join a team focused on modernizing core technology platforms. These are hands-on engineering positions for experienced developers who have spent their careers writing production code, solving complex software problems, and building a strong foundation in software engineering. The team is increasingly using Agentic AI and AI-assisted development to improve productivity, but strong engineering fundamentals remain essential. We are looking for developers who understand the code they produce and can effectively design, review, troubleshoot, test, and improve software—even when AI is part of the development process. You will work closely with the Principal Architect on greenfield backend services, modern authentication environments, and broader technology refresh initiatives. The ideal candidate will have a strong .NET background and be comfortable working across both backend and frontend development. Duties & Responsibilities • Design, develop, test, and maintain production software across the full technology stack., • Build new backend services and APIs as part of an ongoing technology modernization effort., • Develop modern user experiences using React., • Build scalable backend solutions using .NET Core and C#., • Partner with the Principal Architect to turn architectural direction into practical, maintainable software solutions., • Participate in technical design, code reviews, testing, debugging, and performance optimization., • Help develop and maintain Microsoft Entra SSO environments., • Incorporate Agentic AI and AI-assisted development tools into the software development lifecycle., • Review and validate AI-generated code to ensure it meets standards for quality, security, scalability, and maintainability., • Work with engineering teams in the U.S. and London to deliver new applications and platform capabilities., • Contribute to cloud-native development practices, including containerization and modern deployment strategies., • Help improve development standards, engineering practices, and technical processes across the team. Qualifications • 8+ years of professional software development experience required., • Strong track record of hands-on software development and production coding., • .NET Core, C#, and React are all required., • Full stack development experience with the ability to work across frontend and backend technologies., • Strong understanding of software architecture, development patterns, testing, debugging, and code quality., • Experience building APIs, backend services, and modern web applications., • Ability to understand, evaluate, and improve code rather than relying solely on AI-generated solutions., • Professional experience using AI-assisted or Agentic AI development tools., • Strong communication and collaboration skills., • Comfortable working independently while contributing to a distributed engineering team., • Must be available to work EST hours. Preferred Experience • Experience with Microsoft Azure or other cloud platforms., • Experience with Docker and Kubernetes., • Experience with Microsoft Entra ID / Entra SSO., • Experience building greenfield applications, services, or platforms., • Experience incorporating Agentic AI into software development workflows., • Familiarity with Anthropic/Claude or other AI development platforms., • Experience with technology modernization or platform transformation initiatives., • Experience collaborating with teams across multiple time zones., • Candidates in the Eastern time zone are preferred, with Central time zone candidates also considered. What Success Looks Like • Delivering clean, scalable, maintainable, and well-tested production code., • Successfully building new services and modernizing core platform capabilities., • Using AI to improve development speed while maintaining strong engineering standards., • Working effectively with the Principal Architect and broader development team., • Helping establish better development practices around AI-assisted software engineering., • Collaborating effectively with both U.S.-based and London-based teams. Next Steps No C2C, relocation, referral, or sponsorship candidates for this role. For finer details on how eNGINE can impact your career, apply today!

About Reveal Technology Founded in 2019, Reveal is a dynamic startup revolutionizing field operations by delivering software tools and intelligence to operators in remote, disconnected, and extreme environments. Reveal is the Digital Arms Room for the Modern Warrior — providing the tactical intelligence and automation platform for physical, human, and digital terrain at the edge. Our flagship products include Farsight, a 3D processing and mission planning platform that transforms complex terrain into operational advantage, and Identifi, a secure identity verification solution designed for rapid, trusted identification in dynamic environments. In 2026, Reveal expanded its software portfolio to include Chronos and Anomaly 6, further strengthening its capabilities across the modern battlefield. Reveal exists to serve defense, security, and public safety missions where time is compressed, information is contested, and precision matters. We are scaling our team and technology to meet the accelerating demands of modern warfare and national security. About the Role As a Full-Stack Engineer at Reveal, you will bridge the gap between high availability cloud infrastructure and mission critical mobile applications operating at the tactical edge. You will own the evolution of our core web applications, the underlying infrastructure and APIs that empower users in disconnected, low bandwidth, and completely offline environments. This is not a standard, run of the mill CRUD web app role. You will be responsible for solving complex data serialization and synchronization challenges, engineering seamless integrations with external enterprise and tactical systems, and ensuring our mobile apps have a rock solid, highly secure backend to authenticate and sync against. If you are a self driven engineer who loves floating seamlessly between frontend, complex database design, and infrastructure as code, and you want to build software where reliability directly impacts real world missions, this role is for you. Responsibilities • Architect & Scale Frontend Experiences: Design, build, and maintain robust, responsive frontends using React, ensuring exceptional performance, usability and reliability, • Architect & Scale Full-Stack Services: Design, build, and maintain high performance APIs using Ruby on Rails. Ensure exceptional reliability, maintainability, and response times for web, desktop, and mobile clients operating in challenging environments., • Database Engineering: Own the data architecture by driving advanced PostgreSQL data modeling, complex schema migrations, query optimization, and indexing strategies to safely operate production databases at scale., • Modernize Infrastructure & DevOps: Manage and scale containerized services using Docker and Kubernetes, while leveraging Terraform to provision infrastructure as code. Continuously harden and optimize automated CI/CD pipelines to boost developer velocity and system stability., • Elevate Engineering Excellence: Foster a culture of high craftsmanship by delivering production ready, thoroughly tested pull requests. Participate heavily in technical design reviews before writing code, and provide rigorous, constructive peer code reviews., • Support Cross Functional Missions: Collaborate across teams and partner directly with our business development and mission success teams to troubleshoot complex technical escalations, ensuring our users' critical field operations remain unblocked. Requirements • 8+ Years of Professional Full-Stack Experience: Proven track record of designing, building, and maintaining production grade applications at scale., • AI Native Development: Passionate early adopter of AI powered development tools (e.g., Claude Code, Codex, Cursor). You've integrated AI deeply into your daily workflow to accelerate development, and can speak clearly to how these tools change your approach to code review, testing, and architecture., • Expert Backend & Database Architecture: Deep expertise in Ruby (including Rails or similar frameworks) and SQL. Designing scalable services, data modeling, complex schema migrations, and optimizing low performing queries., • Advanced React Architecture: Deep proficiency in building clean, modular component hierarchies using modern React, managing complex application state, and optimizing frontend performance for high concurrency apps., • Production PostgreSQL at Scale: Deep knowledge of PostgreSQL internals, advanced indexing strategies, query execution plans, transaction management and performance tuning., • DevOps & Infrastructure as Code: Hands on experience using Docker and Kubernetes to containerize applications and manage orchestration, alongside Terraform to provision and manage cloud infrastructure as code. You are comfortable owning CI/CD pipelines and ensuring your full-stack applications safely build, scale, and deploy to production environments., • Asynchronous Autonomy & Execution: Proven ability to manage your own productivity and maintain high feature velocity in a fully remote, asynchronous environment. You are a proactive communicator who unblocks yourself by raising questions early, collaborating on designs before writing code, and providing clear visibility into ticket progress. Nice to Haves • Defense & Public Safety Sector: Prior experience developing secure, high availability software for the DoD, first responders, or public safety agencies., • TAK Ecosystem Familiarity: Hands on experience working with Team Awareness Kit (TAK) servers and clients (e.g., ATAK, WinTAK, CivTAK), including managing real time geospatial data flows and supporting low latency tactical architectures., • Biometric Data & Compliance: Exposure to the secure ingestion, processing, and storage of biometric data, with familiarity regarding privacy regulations, encryption standards, and EBTS (Electronic Biometric Transmission Specification) requirements., • Startup Agility: Past experience working in fast paced startup environments, demonstrating a proven ability to thrive amidst technical ambiguity., • Mobile Optimized API Design: Proven success architecting APIs explicitly tailored for mobile clients, with deep consideration for versioning, secure data exchange, offline data synchronization, and performance in low bandwidth or disconnected environments., • AI/LLM Integration: Experience incorporating LLMs and AI powered systems into production backend workflows, including API design for AI features and evaluating model constraints for real world use cases., • Polyglot Capabilities: Reading proficiency or exposure to other languages utilized across the Reveal ecosystem, specifically Kotlin, C++, C#, or Python, to help assist with cross platform integrations or legacy refactoring. Compensation • Salary ($150,000 - $185,000) + Equity, • Salary is determined by the applicant's experience, knowledge, skills, abilities, internal equity, and alignment with market data. Benefits • Medical, Dental, Vision coverage, • HSA/FSA options, • Parental Leave, • 401(k): 100% match for the first 6% contributed, • Unlimited Paid Time Off, • Home Office Stipend This position will be open on our website until it is successfully filled. To submit your application, please click the “Apply” button and follow the steps as directed. Proof of identity and eligibility to work in the United States is required for all hires. 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. Note: This job posting is intended for direct applicants only. We do not accept any unsolicited applications and request no outside recruiters contact us regarding this role. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

🚀 Hiring: Principal Engineer — Autonomous Agent Systems The next generation of software engineering is here. Autonomous agents are no longer prototypes — they’re running real workflows, managing infrastructure, and making critical decisions in production. The challenges now are reliability, orchestration, memory, and security at scale. We’re seeking a Principal Engineer to define and build the architectural foundations of production-grade autonomous agent systems. This isn’t research or chatbots — it’s applied systems engineering at the frontier of AI-native development. What you’ll do: • Design agent execution frameworks, memory systems, and multi-model orchestration, • Build secure integrations and tool-calling pipelines for complex workflows, • Define reliability, observability, auditing, and recovery strategies, • Shape core platform primitives and long-term architectural patterns Who you are: • Experienced building complex backend or distributed systems in production, • Built AI-native or LLM-powered systems beyond prototypes, • Demonstrate strong judgment in reliability, security, and long-term system evolution, • Introduced abstractions or workflows that materially improved system scalability or engineering effectiveness Competitive base compensation + equity Flexible location: remote / hybrid / major tech hubs If designing the infrastructure for real-world autonomous systems excites you, let’s connect!

Company Description Origami is a sales enablement platform that helps teams find and connect with ideal leads through a simple, prompt-based interface. The product, origami.chat, integrates with over 100 data sources to identify high-quality prospects, enrich lead lists or CSV files, and launch outreach sequences to decision-makers. Sales teams at organizations such as CBRE, Clipboard Health, Remote.com, and others rely on Origami to accelerate pipeline generation and improve lead targeting. The platform is designed for fast onboarding, allowing users to start discovering and engaging with targeted leads within minutes, with a free option available to begin. Role Description This is a full-time, on-site Engineer role based in the United States. The Engineer will design, build, and maintain core product features that power Origami’s lead discovery, data enrichment, and sequencing workflows. Day-to-day responsibilities include implementing scalable backend services, optimizing integrations with third-party data sources, and improving system performance and reliability. The role also involves collaborating closely with product and sales teams to understand user needs, refine requirements, and translate them into robust technical solutions. The Engineer will participate in code reviews, write tests and documentation, and contribute to continuous improvement of the engineering practices and development tooling. Qualifications • Strong software engineering fundamentals, including data structures, algorithms, and object-oriented or functional programming., • Experience building and maintaining production web applications or distributed systems, preferably in a startup or fast-paced environment., • Familiarity with APIs and third-party integrations, data pipelines, and handling large or complex data sets., • Knowledge of modern development practices, such as version control, automated testing, CI/CD, and monitoring., • Ability to collaborate effectively with cross-functional teams and communicate technical concepts clearly to non-technical stakeholders., • Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience., • Experience in B2B SaaS, sales tools, or data/analytics platforms is a plus.

Summary: The Director of Engineering will lead the engineering team responsible for the company's next-generation SaaS platform. This is a remote position (must be based in the Midwest or on the East Coast) reporting directly to the CTO. This individual will manage a team of five engineers today, with plans to approximately double the team over the next 6–12 months. This is a hands-on, player-coach leadership role with ownership over how the platform is built and delivered. You will provide technical and architectural direction while developing the team, establishing engineering standards, and building the processes needed to support continued growth. Why Consider This Opportunity?: • Path to VP of Engineering: Join a fast-growing organization in a position intentionally designed to expand toward VP of Engineering-level responsibilities as the company and engineering team scale., • Build & Scale the Team: Lead a team of five engineers today with the support and investment to approximately double the organization over the next 6–12 months. You will serve as the hiring manager for every engineer added to the team., • Own the Engineering Function: Take ownership of the team's SDLC, development standards, performance benchmarks, documentation, and overall engineering processes., • Lead a Next-Generation Platform: Take engineering leadership of a new SaaS platform that has begun onboarding customers with additional implementations planned over the coming months., • High Visibility & Executive Exposure: Work closely with the CTO, CISO, Product, and other leaders while playing a highly visible role in the continued development of the platform. Key Responsibilities: • Lead, mentor, and develop a growing team of software engineers while establishing clear expectations around performance, collaboration, quality, and delivery., • Provide hands-on technical and architectural leadership while remaining engaged with the codebase and development process., • Establish, document, and continuously improve the team's SDLC, coding standards, testing practices, code review processes, and development workflows., • Partner closely with Product to evaluate requirements, prioritize development efforts, and translate customer needs into scalable technical solutions., • Support successful customer implementations while balancing short-term delivery needs with the long-term scalability and stability of the platform., • Maintain a scalable, secure, cloud-native architecture and provide guidance around technical design and implementation decisions., • Establish engineering benchmarks and provide leadership with clear visibility into priorities, delivery timelines, progress, and potential risks., • Partner with DevOps and Data Engineering to ensure reliable deployments, platform security, and effective customer data integration., • Help build the engineering structure, processes, and culture necessary to support continued company growth. Qualifications: • 7+ years of progressive software engineering experience, preferably within a multi-tenant SaaS environment., • 3+ years of direct experience managing software engineers; 5+ years preferred., • 5+ years of hands-on experience developing production applications using Python., • Recent hands-on experience developing or supporting cloud-based applications within AWS., • Strong understanding of SaaS architecture, cloud-native development, application scalability, and modern software engineering practices., • Experience establishing or improving SDLC processes, coding standards, testing practices, and engineering documentation., • Working knowledge of AI-assisted software development tools and best practices.

We’re hiring a Senior Software Engineer to support a major technology initiative focused on new customer-facing web and mobile experiences, a unified design system, and AI-powered capabilities across products. The initiative is focused on raising the engineering bar for how software is designed, built, and operated, with Engineering, Product, and Design working together end to end. This is a high-leverage role: you'll spend more time on system design, task decomposition, and technical direction than on writing code line-by-line. You'll use AI tools to generate code, automated tests, and first-pass reviews, then apply your own judgment to validate and refine that output before it ships. What You'll Do AI changes what your time goes toward. You're still accountable for the full lifecycle — planning, design, code, tests, review, production — but your hands-on role in each shifts: • Plan and design as your core contribution. You own problem framing, sequencing, and tradeoffs with Product and Design, and the system design that follows — the data model, the API contracts, the failure modes., • Direct implementation rather than writing it line by line. Decompose the work, write the specs, and let AI agents build — dropping into the code yourself when debugging or complexity demands it., • Own testing as a design decision. You decide what needs coverage and at what level, direct AI to build it, and validate that the tests prove what they claim — not just that they pass., • Build security, reliability, and observability in from the start. They're design inputs, not production afterthoughts — the systems you ship can be operated safely and understood when they fail., • Review everything with the same rigor, regardless of author, and keep production judgment human. You're accountable for what ships whether you or an agent wrote it. Deployment calls, on-call response, and what an incident teaches you stay yours., • Raise the bar for how the team works with AI, coaching engineers to specify, delegate, and validate rather than hand-code everything themselves. What You'll Bring • Deep server-side experience in a modern language such as Java, Python, C#, Kotlin, or Go. You've owned services end to end, not just features inside someone else's, and can pick up ours quickly., • APIs and data models other people depend on: REST contracts, versioning, OAuth2/OIDC, schema design, and SQL that holds up under real load., • Async and event-driven systems in production — Kafka or comparable, idempotency, and a clear view of what at-least-once costs you downstream., • You've built and operated production systems at real scale on AWS or Azure — containers, Kubernetes or serverless, IaC, and CI/CD pipelines you've built, operated, or materially improved. You've carried the on-call load for them, so you know what “good” looks like independent of who or what wrote the code., • A testing strategy you can defend — what belongs at unit, integration, and contract level, and how you know a release is verifiable before it ships., • Reliability and security you've been accountable for: SLOs you’ve been paged against, incidents you led, OWASP and threat modeling applied — and PHI/HIPAA or comparable regulated-data experience., • Agentic AI is your primary development surface, and you catch what it gets subtly wrong. Not occasional autocomplete, not a hunch — you've shipped and operated real production systems working this way, and can point to what you caught before it shipped. Bonus: LLM application engineering (RAG, retrieval quality, evals, LLM observability), or modern TypeScript frontend work against a design system.

About HMS We shape the connected world! HMS Networks makes the World more connected, productive and sustainable. HMS industrial communication products enable millions of machines such as robots, drives and air-conditioners to get connected to software and systems – A necessity to meet the future demands for energy efficiency and sustainability. Position Summary As an Application Engineer, you will be the technical interface between HMS’s product portfolio and our customers; machine builders, device manufacturers, system integrators, and end-users. You will understand customer applications and requirements, define how HMS solutions fit into those needs, and support pre-sales, design-win, application development, commissioning, and post-deployment optimization. You will work closely with Sales to promote, organize, and deliver various certified training programs on-site with customers and help support marketing campaigns to drive the growth of the paid training programs. Essential Job Functions • Promote, develop, and deliver instructor-led technical training programs for customers, partners, and industrial automation professionals., • Manage classroom environments, both in-person and virtual, ensuring effective learning outcomes., • Prepare training materials, demonstrations, and hands-on lab exercises., • Evaluate student progress and provide technical guidance and support during training sessions., • Maintain training equipment, lab environments, and course documentation., • Provide technical expertise related to Industrial Ethernet and industrial communication technologies., • Support troubleshooting and problem resolution as part of training and professional services engagements., • Gather customer feedback to improve training programs and service offerings., • Engage with customers (internal & external) to assess application requirements, network environments, performance & reliability constraints, and integration needs for industrial communication solutions., • Translate customer requirements into HMS product configurations, integration guidelines, and best practices (e.g., industrial protocols such as PROFINET, EtherNet/IP, EtherCAT, Modbus)., • Capture and share field experience, customer insights, and application trends to influence product development and future enhancements., • Monitor industry developments — networking protocols, OT/IT convergence, IIoT, and security trends — to position HMS solutions effectively., • Represent HMS at customer meetings, trade shows, webinars, and technical working groups as needed. Minimum Requirements • Bachelor’s degree in Electrical Engineering, Computer Engineering, or related field, or a combination of education and experience, preferably with focus on Industrial Ethernet & Networking, • 2–5 years of experience in industrial networking, industrial automation, controls, technical support, and/or technical training. A CCNA or CompTIA Networking+ certification is a plus., • Strong understanding of industrial networking, managed switch technologies, and communication protocols., • Excellent problem-solving and communication skills. Preferred Experience • Experience with HMS-type products or comparable connectivity solutions (gateways, embedded modules, remote monitoring/IIoT platforms)., • Skills to support PROFIBUS & PROFINET Training and system diagnostics,, • Skills to support Ethernet/IP, Industrial Ethernet Training, and networking diagnostics, • Demonstrated knowledge of OT/IT convergence, IIoT architectures, Layer 2/Layer 3 networking, managed switches and routers, remote connectivity and cybersecurity, industrial wireless technologies (Wi-Fi and 5G), and industrial communication networks, with strong troubleshooting and diagnostic capabilities., • Demonstrated ability to work independently, take initiative, and adapt in a fast-moving technology environment. Travel • 30-50% HMS Networks provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, HMS Networks complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

FEA Consulting Engineer Company Description The team members of Rand Simulation have a steeped history in helping organizations bring their product vision to reality through incorporating engineering simulation technology into the product development process. Rand Simulation operates as an Elite North American channel partner for Ansys (NASDAQ: ANSS) to further strengthen its collaborative consulting services while striving for the strongest customer value-add. In the first four years of operation, Rand Simulation has already been awarded the coveted title of Ansys Americas Channel Partner of the Year twice in the past 4 years, Ansys Elite channel partner, and is the fastest growing partner in North America We are looking for a Finite Element Analysis (FEA) simulation specialist with knowledge of ANSYS structural software packages. This is a remote position. What will you be responsible for? The Rand Simulation business model leverages a collaborative approach, combining the analysis expertise of our simulation consultants with the design expertise of our clients. Our goal as the simulation experts is to serve as an extension of our client's team to empower impactful performance insight through simulation to drive informed design decisions. You will be responsible for leveraging advanced-level engineering principles so not only execute on consulting projects, but also to assist Rand Simulation's account managers with scoping and leading customers to solutions.. You will be responsible for leveraging advanced-level engineering knowledge and relationships to support Rand SIM’s account managers with significant impact on revenue goals, as well as for helping customers to solve complex engineering problems using ANSYS software products. Essential Responsibilities: • Primary role of the consulting engineer is to act as lead on specific consulting projects with responsibility of running simulations for clients, leading design review meetings, interpreting results and suggesting recommended design modifications based on simulation findings and industry design knowledge., • Staying up to date with ANSYS platforms and expanding knowledge of ANSYS tools through trainings and self-guided education to enable expansion into additional consulting industries., • Interfacing with Rand Simulation sales and business development teams on ANSYS simulation consulting opportunities to provide technical guidance, credibility, and subject matter expertise., • Analyze prospect and customer technical needs, requirements, infrastructure, operations, and engineering workflows as it relates to services engagements to ensure an application fit and create/demonstration recommended simulation solutions., • Articulate ANSYS’ value proposition primarily around the business unit solutions for consulting services., • Work with RandSim marketing team to generate blog posts, white papers, webinars, and other content related to key initiatives for your team and consulting services., • Occasionally provide ANSYS training (basic and customized), mentoring, account follow-up and technical support to assist clients in the adoption and ROI of their ANSYS technology investment. Who are we looking for? • M.S./B.S./B.A. in Mechanical Engineering, Structural Engineering, Physics, or similar discipline, • 4 years + of mechanical or structural engineering/design experience, • 4 years + of FEA/structural analysis experience with ANSYS Mechanical, • LS-Dyna experience strongly desired, • Ansys Motion, Adams, or similar Multibody Dynamics experience strongly desired, • nCode or other specialized fatigue code experience strongly desired, • Experience using Altair, FEMAP/NX, MSC/PATRAN, Autodesk Nastran, Simulation Mechanical/Algor, COMSOL, Abaqus, Simulia, or similar codes a plus, • Proven experience with multiple structural analysis methods (rigid body dynamics, transient analyses, nonlinear static/transient, modal, linear dynamics, etc.), • Experience with multiphysics, fatigue, and explicit dynamics strongly desired, • Experience with MAPDL and/or Python coding strongly desired, • Knowledge of underlying FEA principles such as linear algebra, partial differential equations, etc., • Extensive proficiency in 3D CAD systems (Inventor and/or SolidWorks preferred), • Strong interpersonal and communication skills with the ability to facilitate and conduct webinars and presentations to customers, • A logical problem-solving approach and ability to clearly communicate the situation and proposed solution to a customer, • A self-starter and motivator with an engaging personality and strong energy, • Ability to manage time effectively while balancing multiple projects in a fast-paced environment, • Ability to work directly with clients and clearly articulate findings and design recommendations, • Ability to work diligently alone when needed, but knows when to seek help, • Highly developed learning and thinking ability with direct client-facing experience, • Registered Professional Engineering (PE) license preferred, but not mandatory, • Willingness to travel up to 10% What do we stand for? INTEGRITY We are honest, ethical, straightforward people in dealing with our employees, our customers, and our shareholders. TEAMWORK Every Rand Simulation team member is important to the success of our company. COMMUNICATION We listen to our people, our clients and our prospects. INNOVATION We think and act creatively. We help our clients to be innovative through leveraging technology and approaches that ensure their success. Are you up for a new challenge? Join Rand Simulation now! Visit us at randsim.com for more information. We thank all applicants in advance for their interest, but only those applicants who are to be considered will be contacted. Must be authorized to work in the U.S for any employer without company sponsorship. We celebrate employment equity and diversity! We encourage applications from all qualified individuals and do not discriminate based on disability, race, ethnicity, religion, gender, sexual orientation, age, veteran status or any other basis protected under federal, state, provincial or local laws. We are committed to providing reasonable accommodations for persons with disabilities. If you require reasonable accommodation during the application process, we will work with you to meet your needs. Please send all inquiries regarding accommodations to . Be sure to include your name, the job you are interested in, and the accommodation you are seeking. Solutions, CFD, FEA, Electromagnetics, Engineering, Manufacturing, Mechanical, Aerospace, ANSYS, HFSS, Maxwell, EDA, Electronic Design Automation, Consulting, Licensed Engineer, Professional Engineer, Solidworks, Pro Engineer, Inventor, Creo, COMSOL

Staff Frontend Engineer – Forward Deployed | Remote Remote working is available but candidates must be on Eastern Timezone either US or Canada. I'm partnering with a fast-growing, AI-native insurtech platform that connects specialty insurers with the capital behind them. They operate across more than 20 countries, are well backed, and are building small, high-leverage engineering squads designed for the AI era. They're now hiring a Staff Frontend Engineer into a forward deployed role. This person will sit at the intersection of engineering and customers. You'll work directly with the people using the platform, understand how they actually work, and ship software that changes how they make decisions. What you'll do • Work closely with customers to understand their workflows, scope messy problems and turn them into working software, • Build and ship customer-facing applications, integrations and AI-enabled workflows, end to end, • Lead frontend architecture and component design, setting the standard for how UI is built across squads, • Integrate AI capabilities into real customer workflows in reliable, secure and production-ready ways, • Use AI tools throughout your own development process to move faster without compromising quality, • Feed what you learn from customers back into the core product and engineering roadmap What they're looking for • Staff-level frontend engineering experience, with deep TypeScript and a strong grasp of the web platform, • Experience building design systems or shared component libraries. Web Components or Lit is a real plus., • Enough backend capability (Node.js, APIs, PostgreSQL, AWS) to be self-sufficient, • Experience in a customer-facing engineering role, such as forward deployed, solutions or customer engineering, consulting, or enterprise B2B product work, • Hands-on experience building AI or LLM features into production products, not just using AI coding tools, • Strong communication skills and confidence with non-technical stakeholders, • Insurance, fintech or other regulated B2B experience is a bonus, not a requirement Why it's worth a conversation • Genuine ownership, with short feedback loops and trust to make consequential decisions, • AI taken seriously, both in how software is built and in what gets delivered to customers, • Remote-first, working with a talented global team, • Visible impact on an industry that's overdue for modernisation Interested, or know someone who fits? Message me directly or comment below and I'll reach out. All conversations are confidential.

ML Engineer Location: Remote, Nationwide Our client is building next-generation AI systems designed to move beyond experimentation and deliver dependable, real-world experiences at scale. They are seeking an ML Engineer who can bridge machine learning and software engineering, creating the production foundation that allows models to be deployed, evaluated, monitored, and improved with confidence. This is an opportunity to take meaningful ownership of a modern ML environment, solve challenging infrastructure problems, and help shape how advanced AI capabilities reach production. This Role Offers: • High-impact ownership across the production machine learning lifecycle, with the opportunity to influence architecture, engineering practices, and technical direction., • A culture that values experimentation, independent problem solving, continuous learning, and engineers who take ideas from concept through production., • A compensation package individually structured with cash and equity, along with health, dental, life insurance options, and a 401(k) match. Focus: • Engineer dependable production foundations that support machine learning workloads from development through deployment and ongoing operation., • Create scalable model execution services designed to perform consistently under demanding latency and throughput requirements., • Develop automated workflows that make data preparation, model validation, releases, and iterative improvement easier to operate and reproduce., • Establish practical evaluation frameworks that help engineering teams understand model behavior, performance changes, and quality regressions., • Implement monitoring and diagnostic capabilities that provide clear visibility into the health and behavior of production ML workloads., • Investigate performance constraints throughout the machine learning lifecycle and deliver improvements across speed, capacity, resilience, and infrastructure efficiency., • Partner with machine learning, research, product, and software engineers to translate evolving technical needs into robust production solutions., • Turn recurring infrastructure needs into reusable engineering capabilities that accelerate future development and reduce duplicated effort., • Contribute to an adaptable ML environment capable of incorporating new model architectures, serving approaches, and infrastructure techniques as the technology evolves. Skill Set: • Strong software engineering fundamentals with demonstrated experience developing and supporting production-grade systems., • Hands-on experience engineering ML infrastructure, shared ML capabilities, or machine learning applications operating in production., • Practical experience with one or more areas such as model serving, inference, evaluation systems, deployment workflows, or ML data pipelines., • Strong knowledge of distributed computing concepts, fault tolerance, operational reliability, and scalable system design., • Ability to produce clean, maintainable, well-structured code suitable for long-term production use., • Experience with Python and exposure to modern machine learning frameworks such as PyTorch or JAX is highly relevant., • Familiarity with cloud environments, workflow orchestration, GPU-based computing, or high-performance model serving is valuable., • Exposure to technologies supporting LLM inference, retrieval systems, or vector-based data architectures is a plus., • Strong analytical and troubleshooting skills with an interest in identifying system bottlenecks and improving performance., • Comfortable navigating ambiguity and rapid technical change while taking ownership of problems from investigation through implementation. About Blue Signal: Blue Signal is an award-winning, executive search firm specializing in various specialties. Our recruiters have a proven track record of placing top-tier talent across industry verticals, with deep expertise in numerous professional services. Learn more at bit.ly/46Gs4yS

About the Role Title: Software Engineer ( JAVA APPLICATION DEVELOPER ) Location: San Francisco Bay Area, Dallas Tx, New Jersey Mode : Remote Employment Type: Fulltime About Incedo: Incedo Inc. is a high-growth Digital, Data and AI Transformation Specialist firm headquartered in New Jersey. We are a long-term strategy execution partner for Fortune 500 enterprises, operating at the intersection of business and technology across Banking & Payments, Wealth Management, Telecom, Hi-Tech, and Life Sciences. We are building Incedo 4.0 - an AI-native, execution-focused, founder-led organization designed for scale, speed, and long-term impact. Incedo delivers ROI from AI @ Scale through the “Power of 3”: • Deep domain expertise, • AI & Data capabilities, • Engineering & Operations excellence About the team Core Platform development is spread across multiple cross-functional teams, each building large and complex components of the MDM platform. Engineer plays senior role in a team is technically responsible for particular feature delivery which consists of: ● Presenting solution to Architects ● Technical drive feature delivery, make decisions, development leadership - distribute tasks across one-two regular engineers ● Work with QA to review testing approaches, provide all details needed for testing, review test plans ● Be responsible for all internal feature documentation Responsibilities ● Work closely with Tech leads and architects, Kanban master, QA and PM to deliver high quality work ● Complex features development ● Provide good code coverage in unit and integration testing ● Be ready for every day technical decisions ● Professional communication with other cross-functional team representatives ● Be ready for sustenance in areas under engineer responsibility Required Skills ● 5+ years of experience in enterprise application design, development ● 5+ Experience in backend applications development ● Proven ability to deliver solutions, offer implementation support, engage with customers. ● 3+ years of experience in building scalable distributed data systems using Java and Cloud Technology. ● Good technical background with previous development experience for enterprise customers ● Strong Java knowledge (Java 8 and above), Java Runtime basics ● Provide Technical mentorship and leadership to junior team members. ● Hands-on technically, comfortable reviewing and writing code. ● Solid foundation in computer science, with strong competencies in algorithms, data structures, software design, and building large, distributed systems ● Experience in performance optimisations, code profiling, Java application runtime analysis Preferred Skills ● Experience with Amazon AWS, Azure or GCP and its services o Managed databases (AWS DynamoDB, Google GBQ, GBT, Azure CosmosDB) o Managed Queue services (AWS SQS, Google PubSub, Azure Service Bus) ● Experience in cloud security principles ● Experience with Kubernetes ● Experience with Big Data Technologies ● Experience in customer support in SaaS area is a big plus ● MS in computer science or equivalent experience

Position Overview A large grocery retailer is seeking a Lead AI Engineer / Agentic Commerce Lead to drive the architecture, development, and delivery of customer-facing AI agent experiences. This is a highly technical leadership role designed for an experienced engineer who enjoys both hands-on development and ownership of product delivery. What You'll Do • Serve as the technical lead for customer-facing AI and agentic commerce initiatives., • Design and implement scalable architectures for AI-powered applications and autonomous agent workflows., • Write, review, and maintain high-quality production code., • Define and uphold engineering standards, code quality practices, and agent behavior expectations., • Lead technical decision-making across product development efforts., • Own project delivery from concept through production deployment., • Prioritize, manage, and track team backlogs without dedicated Product Owners or Scrum Masters., • Automate operational and Agile processes wherever possible to maximize engineering productivity., • Mentor and support a team of early-career software developers., • Collaborate with engineering leadership to shape the future of AI-driven customer experiences., • Participate in a modern development environment leveraging AI coding assistants and agent-assisted software development. About the Team The Agentic Commerce team is an innovation-focused R&D organization responsible for building next-generation AI experiences for customers and developing reusable agent frameworks that can scale across the enterprise. The team currently consists of engineering leadership and senior engineers and is expanding significantly through the addition of new engineering talent. The group operates using a continuous flow delivery model, where work is defined through technical specifications and pulled by engineers rather than managed through traditional sprint ceremonies. A significant portion of the software development lifecycle incorporates AI-assisted development, with engineers reviewing, validating, and productionizing agent-generated code. Required Qualifications • 7+ years of software engineering experience., • Proven experience designing and building scalable distributed systems., • Strong software development skills in modern programming languages such as Python, Java, TypeScript, or C#., • Experience building AI, machine learning, or agent-based applications., • Deep understanding of software architecture, cloud-native solutions, APIs, and systems integration., • Experience leading technical initiatives and mentoring engineers., • Strong ability to balance strategic architecture decisions with hands-on coding responsibilities., • Experience managing technical backlogs and driving delivery outcomes., • Excellent communication and stakeholder management skills. Preferred Qualifications • Experience with LLM-powered applications, AI agents, or conversational AI platforms., • Experience with orchestration frameworks such as Temporal or similar workflow platforms., • Knowledge of Retrieval-Augmented Generation (RAG), vector databases, and agent frameworks., • Experience implementing AI governance, evaluation, and quality assurance processes., • Familiarity with continuous flow, lean product development, or modern Agile delivery models., • Experience leveraging AI-powered development tools and coding assistants. Why Join • Help define the future of AI-powered commerce for millions of customers., • Lead greenfield development in a newly formed innovation team., • Influence enterprise-wide adoption of agentic AI capabilities., • Work in a highly technical environment where engineers are empowered to own outcomes., • Mentor and grow the next generation of AI-focused engineers. EEO Statement: Brooksource is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances. Pay: 150k-170k

Solutions Architect Location: Remote (US) Salary - 160,000-210,000 We're partnering with a rapidly growing software company that helps organizations make smarter decisions through real-time data, automation, and advanced analytics. Their platform powers critical workflows for large enterprises, fintechs, and digital businesses, enabling teams to operate more efficiently while reducing risk and improving customer outcomes. Backed by leading investors and experiencing significant growth, the company is scaling its customer-facing technical team and searching for a Solutions Architect to lead complex customer deployments. The Opportunity We're looking for a technically strong, customer-focused Solutions Architect to drive implementation projects from discovery through production launch. This position sits at the intersection of engineering, product, and customer success. You'll work directly with customers to understand business requirements, design technical solutions, and ensure seamless integrations into existing environments. You will be a trusted advisor throughout the customer lifecycle, helping clients maximize value from the platform while influencing product direction through customer feedback. Key Responsibilities • Lead technical implementations for enterprise and mid-market customers, • Gather business and technical requirements and translate them into scalable solution designs, • Serve as the primary technical contact throughout onboarding and deployment, • Guide customers through API integrations, workflow configuration, and system architecture discussions, • Partner with Engineering, Product, and Customer Success teams to deliver successful outcomes, • Identify implementation risks, manage timelines, and drive projects to completion, • Create and maintain technical documentation, integration guides, and solution best practices, • Analyze customer data and workflows to recommend optimization opportunities, • Provide technical troubleshooting support during onboarding and post-launch activities, • Collect customer feedback and communicate insights internally to improve the product What We're Looking For • 7+ years in a customer-facing technical role such as Solutions Architect, Technical Account Manager, Integration Engineer, Systems Analyst, or Professional Services Consultant, • Experience working within B2B SaaS environments, • Strong understanding of APIs, web technologies, and systems integrations, • Advanced SQL skills and experience working with structured and semi-structured data, • Ability to communicate effectively with both business stakeholders and technical teams, • Proven track record managing multiple technical projects simultaneously, • Experience creating technical documentation and implementation playbooks, • Hands-on scripting or automation experience using tools such as Python, SQL, Postman, Bash, or similar technologies, • Excellent problem-solving and stakeholder management skills Why Join? • High-growth environment with meaningful ownership, • Fully remote team across North America, • Competitive compensation package, including bonus and equity, • Flexible PTO, • Health, dental, and vision coverage, • Retirement savings program with company contribution, • Home office budget and technology stipend, • Annual learning and development allowance, • Wellness benefits and team events

Company Overview iboss is a cloud security company that enables the modern workforce to connect securely and directly to all applications from wherever they work. Built on a containerized cloud architecture, iboss delivers security capabilities such as SWG, malware defense, RBI, CASB and data loss prevention to all connections via the cloud, instantaneously and at scale. This eliminates the need for traditional network security appliances, such as VPNs, firewalls and web gateway proxies, which are ineffective at protecting a cloud-first and mobile world. Leveraging a purpose-built cloud architecture backed by 230+ issued and pending patents and more than 100 points of presence globally, iboss processes over 150 billion transactions daily, blocking 4 billion threats per day. More than 4,000 global enterprises trust the iboss Cloud Platform to support their modern workforces, including a large number of Fortune 50 companies. To learn more, visit https://www.iboss.com/ At iboss, we believe that exceptional employees are the key to our success. Our teams are hands on, diverse, nimble, and highly empowered to drive excellence. Be a part of the team that will transform the way cybersecurity is delivered! The Role iboss is seeking a highly skilled Forward Deployed Software Engineer to work directly within our customer environments and with our customers. You will serve as the technical face of iboss with customers, bridging the gap between our engineering team and the customer, translating requirements into technical solutions, resolving complex issues in real time, and ensuring mission success. This role requires a deep technical background in Java development, and the ability to work effectively with direct customer interaction. Key Responsibilities On-Site Deployment & Integration • Deploy, configure, and integrate the iboss platform with enterprise, commercial and government customers, • Develop and customize Java-based software solutions to meet specific technical requirements and needs, • Collaborate directly with IT teams, program managers, and security officers to ensure seamless platform integration with existing infrastructure, • Build and maintain integrations with agency systems including SIEMs, SOARs, identity providers, and other security tools Software Development & Customization • Design and develop Java-based components, APIs, and integrations tailored to federal customer environments, • Write clean, secure, well-documented code in accordance with security standards (, • Troubleshoot and resolve complex technical issues at the code level in production environments, • Contribute enhancements and specific requirements back to the core iboss engineering team Customer Engagement & Technical Leadership • Serve as the primary technical point of contact for assigned accounts, • Conduct technical workshops, training sessions, and architecture reviews with agency stakeholders, • Provide expert-level guidance on Zero Trust architecture, network security, and cloud security best practices, • Work closely with the solutions engineering teams to support pre- and post-sale technical activities, • Document solutions, configurations, and custom development for knowledge sharing across the organization, • Work with the customer to ensure annual renewal and share new feature advancements Required Qualifications • 2+years of professional software development experience with Java as the primary language, • Strong understanding of networking fundamentals — TCP/IP, DNS, HTTP/S, SSL/TLS, proxies, and firewalls, • Proficiency with RESTful APIs and microservices architecture, • Experience with Linux/Unix-based systems, • Strong debugging, troubleshooting, and problem-solving skills in live production environments, • Excellent written and verbal communication skills, with the ability to engage both technical and non-technical stakeholders Preferred Qualifications • Experience with Zero Trust Network Access (ZTNA), Secure Web Gateway (SWG), CASB, or SASE platforms, • Familiarity with cloud platforms such as AWS, Azure, or GCP, • Experience with containerization technologies (Docker, Kubernetes), • Experience with SIEM/SOAR integrations (Splunk, Microsoft Sentinel, etc.), • Relevant certifications such as CISSP, CompTIA Security+, CEH, or AWS Certified Security Specialty, • Experience with Identity and Access Management (IAM) and Single Sign-On (SSO) solutions What We Offer • Competitive base salary, • Comprehensive health, dental, and vision benefits, • 401(k) with company match, • Unlimited PTO and paid holidays The duties and responsibilities described above are essential functions of the job. iboss 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, status as a veteran or as an individual with a disability. *This position is not eligible for sponsorship of work visas.

MathCo is an AI and analytics consultancy headquartered in Chicago with a major hub in Bangalore. We help global enterprises turn data, analytics, and AI into measurable business outcomes, with over 2,000 projects delivered across industries. We don't stop at strategy: we build what we design, and we measure what we build. Forward Deployed Engineering is our answer to how AI is changing consulting. The highest leverage person is no longer a project manager, an architect, a data scientist, or a developer. It is the one person who connects all of these while staying closest to the customer's problem. About the Role AI is changing how consulting delivers value. At MathCo, our Forward Deployed Engineers sit at the intersection of business strategy, AI, software engineering, and client delivery. They are not specialists working within a narrow function. They are end-to-end problem solvers who partner directly with clients to transform ambiguous challenges into deployed, measurable outcomes. As a Senior Forward Deployed Engineer (AI), you will embed with client teams, understand their business problems, architect scalable solutions, build production-ready systems, and guide adoption through deployment and handoff. You will serve as the primary technical owner throughout the engagement lifecycle, ensuring every decision remains tied to business value. You will operate across AI, data, cloud, software engineering, and stakeholder management to deliver solutions that clients trust and scale. Our approach begins with a simple principle: Outcome → User → Workflow → Decision → Data → Intelligence → Action → Value Key Responsibilities Business Discovery & Problem Framing • Collaborate closely with client stakeholders to understand business objectives, workflows, and decision-making processes., • Identify opportunities where AI, analytics, and data-driven solutions can create measurable impact., • Separate assumptions from facts and establish a clear understanding of the problem before solution design begins., • Define success metrics and align stakeholders on expected outcomes. Solution Architecture • Design scalable, secure, and production-ready architectures aligned with client technology ecosystems., • Evaluate technical trade-offs and guide architectural decisions across cloud, data, AI, and application layers., • Ensure solution designs account for security, governance, integration, scalability, and operational requirements., • Document architectural decisions and implementation approaches clearly. AI & Software Development • Develop and deploy production-grade AI, analytics, and software solutions using real-world client data., • Build reusable, maintainable, and scalable code across the solution stack., • Implement GenAI-enabled capabilities, including retrieval-augmented generation (RAG), agentic workflows, evaluation frameworks, and orchestration mechanisms., • Validate solution effectiveness through structured testing and measurable performance outcomes. Client Leadership & Communication • Lead discovery workshops, solution reviews, working sessions, and executive presentations., • Communicate technical concepts effectively to both business and technical audiences., • Proactively identify risks and trade-offs while providing actionable recommendations., • Manage scope, priorities, timelines, and stakeholder expectations throughout the engagement. Delivery & Handover • Create comprehensive transition packages, including:, • Solution architecture documentation, • Operational runbooks, • Validation and testing evidence, • Deployment guidelines, • Knowledge transfer materials, • Ensure successful adoption by client teams and support transition to production ownership., • Continue providing architectural guidance during scaling and implementation. AI-Enabled Delivery Excellence • Leverage AI tools, accelerators, and digital agents to improve solution delivery and engineering productivity., • Build reusable assets, playbooks, and frameworks that can be applied across engagements., • Mentor and guide delivery team members through structured documentation and knowledge-sharing practices. What Success Looks Like In this role, success is measured by: • Client outcomes delivered and validated, • Speed from problem definition to working solution, • Adoption and production readiness of deployed solutions, • Quality of architecture and engineering decisions, • Effectiveness of stakeholder engagement and communication, • Successful knowledge transfer and client enablement Required Qualifications Experience • 10–15 years of experience designing, building, and deploying software, data, analytics, or AI solutions., • Demonstrated ownership of production systems and business-critical deliverables., • Experience operating in client-facing or highly collaborative environments. Technical Expertise Deep expertise in at least one of the following: • AI/ML Engineering, • Data Engineering, • Backend Engineering Working knowledge across adjacent domains, including cloud architecture, data platforms, APIs, and front-end technologies. Generative AI Experience Hands-on experience designing and deploying enterprise GenAI solutions involving: • Large Language Models (LLMs), • Retrieval-Augmented Generation (RAG), • Agentic AI workflows, • Prompt and context engineering, • AI evaluation and monitoring frameworks, • Responsible AI implementation practices Cloud & Platform Experience Strong experience with one or more of the following: • Microsoft Azure, • Amazon Web Services (AWS), • Google Cloud Platform (GCP), • Databricks Ability to work within complex enterprise environments that include legacy systems, modern platforms, and third-party applications. Consulting & Problem Solving • Proven experience navigating ambiguity and defining structured solutions., • Strong stakeholder management and requirements-gathering skills., • Ability to translate business problems into scalable technical solutions., • Demonstrated ability to make informed decisions under uncertainty. Communication & Leadership • Exceptional verbal and written communication skills., • Experience presenting recommendations and technical decisions to senior stakeholders and business leaders., • Ability to influence cross-functional teams without direct authority. AI-Native Mindset • Enthusiasm for using AI tools and digital assistants to improve productivity and outcomes., • Strong learning agility and curiosity about emerging technologies., • Ability to operate independently in distributed, remote-first environments. Preferred Qualifications • Experience in consulting, solutions engineering, customer engineering, or forward deployed engineering roles., • Experience delivering AI transformation initiatives at enterprise scale., • Industry expertise in one or more of the following sectors:, • Consumer Packaged Goods (CPG), • Retail, • Life Sciences & Pharmaceuticals, • Manufacturing, • Financial Services, • Experience delivering fixed-scope, outcome-based, or value-based engagements., • Experience leading distributed teams and managing project execution through architecture documents, ADRs, runbooks, and implementation playbooks. Why Join MathCo? • Solve complex, high-impact enterprise problems using AI and advanced analytics., • Work directly with senior business and technology leaders., • Own the full lifecycle from problem definition to deployment., • Partner with some of the world's leading organizations on transformative initiatives., • Help shape the future of AI-enabled consulting and engineering. Being a Mathemagician • Embody MathCo's culture of ownership, excellence, and impact., • Actively contribute to company growth initiatives while fostering a collaborative and innovative environment., • Demonstrate curiosity, agility, and a continuous learning mindset., • Support diversity, equity, inclusion, and belonging by valuing different perspectives and ideas., • Create positive experiences for candidates, colleagues, clients, and stakeholders in every interaction. Recognitions & Awards • Leader in Top Generative AI Service Providers, PeMa Quadrant 2023 (AIMResearch), • Recognized among Inspiring Workplaces in North America, 2023, • Accredited for Inclusive Practices by Great Place to Work® Institute, India, • Best Workplaces™ for Diversity, Equity, Inclusion & Belonging 2023, Great Place To Work® India For more information, please visit https://.

Team: Partnerships & Ecosystems Position: Remote, East US or Europe About Napster: Founded on the principle of democratizing access, first to music in 1999, now to expertise in the AI era, Napster has consistently remained at the forefront of technological shifts that empower users. Today, the company builds embodied, multimodal AI agents that engage employees and customers where they already work: through video presence, voice, and text. Designed to work alongside people rather than replace them, Napster’s agents carry institutional knowledge into every interaction, elevating the user’s experience and improving business outcomes. For more information, visit napster.com. About the role We’re building a global Commercial Enablement team that helps Napster’s sellers and partners use AI to demonstrate, build, and deliver AI solutions. We’re looking for a hands-on Forward Deployed Engineer who can turn ideas into working experiences—and give others the tools and confidence to do the same. You will build reusable demos, agent-led enablement tools, and practical programs that help our commercial teams and partners move from a customer use case to a working prototype and a successful production deployment. In addition help to build out our automation layers and support smarter processes of how we work and execute internally within the Partnership organisation. You’ll use both external AI development tools and Napster’s own platform and products to create these experiences, including solutions for partner events, and global Innovation Hubs. Reporting line: Technology Partner Management, with a dedicated functional alignment to Commercial Enablement & Partner Experience. This role is embedded within the Commercial Enablement motion and will work day-to-day with Commercial Enablement to define and deliver the technical tools, demos, environments and experiences needed to scale sellers and partners. Technology Partner Management provides technical leadership, engineering standards and professional development for the role. We don’t just want to demonstrate our technology. We want to use it to power how we onboard, enable, and support our sellers and partners. That means building experiences such as agent-led onboarding, interactive asset portals, guided demo creation, and hands-on learning environments. This is a builder-first role. You will write code, configure agents, integrate tools, test experiences, and work directly with sellers and partners. Success means more people can confidently demonstrate, prototype, and build with Napster—without requiring an engineer in every interaction. How we build You’ll use agentic coding tools such as Claude Code, Cursor, Lovable, and Codex alongside Napster’s own solutions to scope, prototype, and iterate quickly. We embrace AI-assisted development and vibe coding, backed by strong engineering judgment. Moving fast does not replace understanding the code, testing behavior, protecting data, or making solutions maintainable. We package what works into reusable templates, agent skills, integrations, MCP servers, and reference implementations. Every successful build should make the next one easier—not create another one-off experience that only its original developer can operate. Responsibilities • Build reusable demos and use cases. Create high-impact, brand-neutral demos that showcase Napster’s voice, real-time video, and embodied AI capabilities. Translate customer and partner scenarios into configurable experiences, with clear setup instructions, demo flows, and guidance that others can use independently., • Create evaluation environments and hands-on build experiences. Develop and maintain environments where sellers and partners can explore our products, test ideas, and build prototypes. Provide starter projects, sample data, guided exercises, and clear paths from first experiment to a validated proof of concept., • Engineer agent-led enablement tools. Advance our enablement platform and build tools such as agent-led asset portals, interactive onboarding, guided solution discovery, and demo-building assistants. Use Napster’s own technology wherever appropriate to make enablement more interactive, accessible, and scalable., • Develop and deliver practical AI-building programs. Work with Commercial Enablement to create workshops, build-alongs, and partner co-creation sessions that teach people how to combine existing applications and Napsters solutions, • Adapt the experience to different levels of technical ability, helping sellers demonstrate confidently and technical partners build independently., • Build reusable technical components. Create integrations, agent tools, MCP servers, knowledge and memory layers, custom front ends, and orchestration patterns that support repeatable use cases. Choose the simplest architecture that meets the need, introducing multi-agent approaches where they add clear value., • Enable Napster Innovation Hub experiences. Build and validate interactive experiences for Napster Station, partner Innovation Hubs, and events. Package them with configuration guidance, testing procedures, and troubleshooting instructions so partner and deployment teams can operate them reliably., • Support selected partner prototypes and reference deployments. Work with Technical Partner Managers, Partnership, Enablement, Product, and Engineering to scope integrations, establish success criteria, and validate high-value use cases. Turn successful work into reusable reference implementations, with a clear handover to the appropriate delivery or implementation team for bespoke production work., • Build quality and responsible use into every experience. Test agent behavior, tool use, conversation quality, latency, and failure handling. Apply appropriate access controls, data handling, evaluation, and safety guardrails, clearly distinguishing experimental experiences from production-ready solutions., • Drive adoption and improve what we build. Observe how sellers and partners use the tools, identify friction, and improve the experience. Feed gaps back to Product and Engineering, and work with Enablement to keep shared assets documented, current, and easy to discover. What you bring • 10+ years of experience with strong hands-on software engineering skills. You can build and debug working applications, connect APIs, manage authentication, and deploy maintainable solutions. You are comfortable working across front-end experiences, backend services, and cloud environments., • Practical experience building with AI. You have created agentic applications or AI-enabled workflows and can explain your decisions around models, tools, context, retrieval, memory, and evaluation. Experience with real-time voice, video, or multimodal applications is valuable., • An AI-native development workflow. You use AI coding tools to accelerate real work, while remaining accountable for the quality of the output. You can inspect, challenge, test, and improve AI-generated code—not just generate a convincing prototype., • The ability to build with people, not just for them. You are comfortable running a hands-on session, explaining technical concepts clearly, and helping a partner work through a problem. You know when to demonstrate, when to co-build, and when to equip someone to continue independently., • A product mindset and strong ownership. You think about usability, reuse, documentation, and adoption—not just whether something works on your machine. You can take an ambiguous request, define a practical first version, and iterate based on feedback. What success looks like Sellers can run compelling demos with confidence. Partners can use our starter kits to build their own prototypes. Agent-led tools make onboarding and finding the right resources easier. Innovation Hub experiences are reliable and repeatable. Most importantly, the tools and programs you build allow more people to succeed with Napster without engineering support growing at the same rate. Benefits: • Paid Time-Off: Flexible vacation time and 10 company holidays., • Health Plans: Robust medical, dental, and vision plans for you and your dependents. Disability, life insurance, and FSA benefits are also available., • Wellness: Access to Teladoc and an EAP., • Parental Leave: Paid leave., • Retirement Savings: Contribute pretax earnings to our 401(k) Plan. Our Culture: • Impact: Play a crucial role in our growth journey., • Culture: Join a vibrant team valuing creativity and collaboration., • Growth: Thrive in a fast-paced, dynamic environment., • Reward: Enjoy competitive compensation, equity opportunities, and comprehensive benefits., • Ready to shape our future? Apply now and be part of something extraordinary! We're looking for more forward-thinking, collaborative people to be part of our innovation journey and mission to push the boundaries of technology. If you're ready to help us achieve this vision, we'd love to hear from you! At Napster Corp, we're looking for people who are invigorated by our values and driven to change the world, not those who simply check off boxes. Napster embraces a diversity of backgrounds and experiences and provides equal opportunity for all applicants and employees. We strive to build a company that reflects a global audience. CCPA Notice for California Job Candidates: Please review our CCPA notice at https://www.napster.ai/policy-docs/ccpa-notice-for-job-candidates

Danovo Energy Solutions is an independent technology, consulting, and testing company providing business and technical expertise along with advanced methodologies and processes to utilities and others in the power and energy industries. Our mission is to provide unparalleled value to our clients in every engagement across the value chain by using advanced software and hardware, laboratories, and custom tools in a holistic approach to practical service and the most insightful thought leadership in the industry. At Danovo Energy Solutions, our people define us. We value a company culture based on core values of diversity, teamwork, respect, accountability, innovation, and entrepreneurial spirit. Not only will you get the chance to work alongside industry thought leaders, but the opportunity to become a thought leader yourself. We’re focused on creating an environment committed to employee growth. That is achieved by ensuring a quality workspace, allowing flexible schedules, and through our training & mentoring programs. Danovo Energy Solutions is committed to an equal-opportunity workplace. Danovo Energy Solutions is a wholly owned subsidiary of Quanta Services (NYSE: PWR), a member of the S&P 500 and the largest specialty engineering construction company in North America, serving energy companies and communication utilities around the world. POSITION OVERVIEW We are seeking a highly experienced Transmission Planning Consultant to lead technical studies and provide strategic insights into the evolving power grid landscape. This role involves conducting advanced transmission system analyses, collaborating with utility clients, and guiding project execution from concept to delivery. The ideal candidate will bring deep expertise in power system modeling, regulatory compliance, and project leadership. Lead Engineers are responsible for leading a team of advisors or senior advisors and providing tactical advice to clients at the department, director, or manager level. These individuals must be able to understand complex industry and technical challenges and develop and lead solutions from different disciplines at the tactical level. A typical scope of work for this position includes developing solutions to complex problems that involve technical and economic perspectives. Key Responsibilities • Conversant in performing powerflow studies at various capaciies and system conditions, • Conduct comprehensive transmission system studies including load flow, stability, short-circuit, and voltage analysis using industry-standard tools., • Evaluate grid performance and recommend solutions to support renewable integration and system reliability., • Interpret and apply regulatory standards (NERC, FERC, regional entities) to ensure compliance and assess operational risks., • Lead technical execution of planning projects and mentor junior engineers and analysts., • Develop and present technical reports, financial models, and strategic recommendations to clients and stakeholders., • Support business development efforts including proposal writing and client engagement., • Collaborate across teams to deliver high-quality consulting services tailored to client needs., • Mentor Associate and Entry level planning engineers Required Qualifications Business Development Responsibilities Business Development responsibilities include identifying and helping to develop strategic revenue-generating relationships with existing or potential customers. After an initial adjustment period, Senior Advisors typically will perform Business Development activities assisting others in this area. Achievement of Business Development activities which result in being able to support one’s self in billable work. The ability to support additional staff in billable work will improve one’s assent within this position’s pay range. However, Senior Advisors with strong technical skills who do not perform any level of Business Development activity may only ascend to the mid-level of this position’s pay range. Travel Minimial travel requirements, but the ideal candidate should be willing and able to travel to client locations and industry meetings if and when needed. Education & Experience • Minimum of 8 years of experience in transmission planning, utility operations, or power systems consulting., • Demonstrated ability to work independently and lead multidisciplinary teams., • Master’s degree in Electrical Engineering or a relevant technical field, • Strong understanding of transmission system planning methodologies and regulatory frameworks., • Recognized as a top industry expert in at least one area of the utility industry as demonstrated by peer-reviewed publications, leadership in technical societies, industry awards, and/or patents Systems & Skills • Excellent analytical, communication, and organizational skills., • Ability to work in a diverse and inclusive space, • Ability to work in a team dynamic, • Proficiency in software tools such as PSS®E, PSLF, PSCAD, EMTP/ATP, SKM, ETAP, and Promod. Preferred Qualifications Education & Experience • Professional Engineer (PE), • PhD in Electrical Engineering or a relevant technical field, • Familiarity with regional transmission organizations (e.g., PJM, CAISO, ERCOT, MISO, SPP)., • Ability to manage multiple projects and meet tight deadlines. Systems & Skills • Experience with financial modeling and lifecycle cost analysis. Location Danovo Energy Solutions has offices in Raleigh, North Carolina; Markham, Ontario; Lombard, Illinois; and San Clemente, California. We offer hybrid employment that supports a blend of in-office and/or remote work. Compensation & Benefits Danovo Energy Solutions offers a competitive compensation package, including performance-based bonuses and a comprehensive benefits program. Our offerings are designed to support overall well-being. We believe in recognizing and rewarding the contributions of our team through meaningful and equitable compensation Working Conditions Working conditions are typical of a professional office environment. When working in field or laboratory settings, the use of personal protective equipment (PPE) and completion of additional safety training may be required. The role may involve lifting and carrying equipment, standing for extended periods, and working in varying weather conditions. Job duties may require the ability to sit, stand, kneel, bend, and perform other physical movements associated with the work. Specific vision abilities (such as close vision, distance vision, color vision, or depth perception) may be required depending on the assigned job duties. Qualified individuals with disabilities may perform the essential functions of this role with or without reasonable accommodation. The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of duties, responsibilities, or requirements. The employee may be asked to perform other job-related duties as required. At Danovo Energy Solutions, we offer a challenging and rewarding work environment where our employees are encouraged to grow and develop their skills. We are committed to providing equal employment opportunities for all individuals and do not discriminate based on race, color, religion, sex, national origin, age, disability, or any other legally protected status. If you are interested in becoming a part of our team and possess the required qualifications and experience, we encourage you to apply for this exciting opportunity. Danovo Energy Solutions does not use artificial intelligence in our recruitment and selection process.

Forward Deployed Software Engineer About Threadlock Precision Threadlock Precision is a rapidly growing engineered component manufacturing organization serving leading aerospace and defense customers, including OEMs and Tier 1/Tier 2 suppliers. Backed by strong financial support and positioned for continued expansion, we are investing in our people, capabilities, operations, and commercial strategies to support long-term growth and meet increasing demand across complex, high-precision manufacturing programs. About the role Due to the nature of our business and customer requirements, this position requires access to information, technology, materials, or technical data subject to U.S. export control laws and regulations. As a result, candidates must qualify as a U.S. Person under applicable U.S. export control laws, which generally includes U.S. citizens, U.S. nationals, lawful permanent residents (green card holders), refugees, and asylees. We're hiring a Forward Deployed Software Engineer to embed with Threadlock's operating teams and build the software that runs our business — internal tools, data pipelines, ERP integrations, and AI-powered workflows. As a Forward Deployed Software Engineer, you'll partner directly with plant managers, operators, finance, and sales to build, deliver and implement software that solves real problems on short cycles. This can be a remote position in the Continental U.S. but we strongly prefer this person be close to one of our operating locations in St. Louis, Missouri; Frankenmuth, Michigan; or Cypress, California. Travel of approximately 50% will be required so you can learn and understand our operations and work closely with key stakeholders at our operating locations. This is a builder role. You will write production code daily, sit next to the people using what you build, and own the full lifecycle from problem framing to deployment. This role is ideal for someone who wants to build software that has a direct and visible impact on how the business operates. To be successful, you must be able to quickly learn Threadlock’s operations, understand the needs of the people doing the work, and translate those needs into practical solutions that can be deployed across the organization. You’ll work closely with cross-functional teams and play an instrumental role in shaping the tools, workflows, and systems that improve decision-making, productivity, and operational execution while supporting Threadlock’s continued growth and evolution. What you'll do • Embed on-site with operating teams to identify high-leverage workflow problems and turn them into deployed software solutions., • Build and maintain internal applications end-to-end — frontend, backend, data layer, deployment., • Develop and operate data pipelines connecting the ERP, MES, and other operational systems., • Integrate LLM-powered features into internal tools where they create real leverage (document extraction, operator assistants, reporting automation)., • Own testing, deployment, monitoring, and iteration, • Collaborate with technical leadership on architecture, code review, and engineering standards. Basic Qualifications (Required) • Bachelor’s Degree, • At least 2 years of full-stack software engineering experience integrating enterprise systems (ERP, MES, CRM, or similar) where you owned products end-to-end This position requires compliance with U.S. export control laws and regulations. As such, candidates must be a “U.S. Person” as defined by applicable law (e.g., U.S. citizen, U.S. national, lawful permanent resident, or asylee/refugee). Preferred Qualifications (in addition to Basic Qualifications) • Experience building software for manufacturing, industrial, robotics, automation, logistics, or other operationally complex environments, • Experience within a start-up environment Competencies • End-to-End Product Development: Demonstrated ability to take a product from blank page to deployed and actively used software across the frontend, API, database, and infrastructure layers., • Manufacturing & Industrial Systems Exposure: Experience building or integrating software in manufacturing, industrial, robotics, automation, logistics, or other operationally complex environments. Manufacturing or industrial experience is a strong plus., • Production AI / LLM Implementation: Hands-on experience building and deploying LLM-powered features in production, including prompt design, evaluations, agentic patterns, and tool use. This is not a research-only background; it requires a shipping background., • On-Site Operational Problem Solving: Comfort working on-site in a manufacturing environment, walking the floor, engaging with operators and managers, and translating what they actually need into working software., • Cross-Functional Communication: Strong written and verbal communication skills with the ability to run a working session with a plant manager and a code review in the same afternoon. Compensation & benefits: • Salary: Salary is based upon candidate experience and qualifications, as well as market and business considerations., • Pay Range: $85,000 to $145,000 plus bonus, • 401(k) plan with generous company match, • Competitive health and dental insurance, • Paid time off and sick leave, • Professional development and training opportunities EEO Statement Threadlock Precision 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, protected veteran status, or any other characteristic protected by applicable law.

We are seeking a highly skilled SailPoint IdentityIQ (IIQ) Developer to design, implement, and maintain our enterprise Identity Governance and Administration (IGA) solutions. In this role, you will be responsible for building and customizing SailPoint IIQ workflows, lifecycle events, rules, and connectors to ensure secure and seamless automated provisioning across hybrid and cloud ecosystems. In addition to core SailPoint development, you will leverage .NET and C# expertise to integrate, extend, and support custom identity services, legacy applications, and Microsoft-ecosystem endpoints. Key Responsibilities • Design & Development: Architect, develop, configure, and maintain robust SailPoint IIQ platforms. Write and troubleshoot complex SailPoint rules, forms, and custom workflows using Java, BeanShell, and XML., • .NET & C# Integration: Design and implement custom .NET applications, microservices, or C# scripts to handle complex data parsing, API transformations, or to act as middleware bridging legacy Microsoft-based ecosystems with SailPoint., • Application Onboarding: Configure and manage out-of-the-box and custom SailPoint connectors to integrate with Active Directory, LDAP, JDBC, HR databases, REST APIs, and enterprise cloud applications., • Lifecycle Management: Develop and optimize automated Joiner-Mover-Leaver (JML) lifecycle workflows, access provisioning, de-provisioning, and correlation logic., • Governance & Certifications: Set up and manage automated access requests, access reviews, role-based access controls (RBAC), and compliance certifications., • System Maintenance & Support: Perform platform upgrades, patches, scheduled tasks, and system aggregations. Act as Tier 3 support to troubleshoot provisioning failures, connector bugs, and .NET endpoint bottlenecks., • Documentation: Create detailed technical design specifications, operational runbooks, and deployment guides to ensure replicable architecture. Required Skills & Qualifications • Education: Bachelor’s degree in Computer Science, Information Security, or a related field., • SailPoint Expertise: Hands-on technical development experience specifically focused on SailPoint IdentityIQ., • Core Development Languages: Strong proficiency in Java, BeanShell, XML, and SQL, combined with solid development experience in C# and the .NET framework (.NET Core / .NET 6+)., • Integrations: Solid understanding of directory services (Active Directory, Azure AD/Entra ID, LDAP), relational databases (Oracle, MySQL, SQL Server), and modern web APIs (REST/SOAP)., • IAM Concepts: Deep knowledge of Identity & Access Management (IAM) standards, access governance, segregation of duties (SoD), and security controls., • Software Development Lifecycle: Familiarity with Agile practices, source control tools (Git), and CI/CD pipelines. Preferred Qualifications • Experience writing custom C# plugins, IIS extensions, or Windows services that interact directly with identity data., • SailPoint Certified IdentityIQ Engineer or Architect credentials., • Experience with SailPoint Identity Security Cloud (ISC/IdentityNow) or migrating legacy IIQ environments to cloud-based IGA infrastructure., • Familiarity with broader cybersecurity frameworks and infrastructure platforms like AWS, Microsoft Azure, or GCP.

We are seeking a highly motivated Staff AI Engineer who is a self-starter, problem solver, and forward-deployed innovator. This role is central to building and scaling Generative AI and Machine Learning applications that leverage advanced Large Language Models (LLMs), AI frameworks, and system design expertise. As a bridge between business teams and engineering, you will partner directly with stakeholders to identify opportunities, define solutions, and deliver impactful AI-enabled products. The ideal candidate combines applied AI experience , Generative AI expertise , software engineering excellence, and system design expertise with the ability to tech lead teams, drive best practices, and accelerate AI development efficiency through innovative tools and automation. This role requires someone who thrives at the intersection of technology and business, enabling teams to translate cutting-edge AI into real-world impact. What you will do in this role: • Lead design, development, and deployment of Generative AI, LLM, and ML applications in collaboration with business teams as a forward-deployed AI engineer., • Partner with product and business stakeholders to shape AI strategy, define use cases, and translate requirements into scalable, high-impact AI solutions., • Champion system design and software engineering best practices, ensuring solutions are robust, extensible, and secure., • Utilize frameworks such as LangChain, HuggingFace, Vertex AI, and other enterprise-scale AI platforms to build forward-looking capabilities., • Drive efficiency in AI development by leveraging AI-assisted development tools, automation, and reusable frameworks., • Own the end-to-end AI delivery lifecycle: experimentation, fine-tuning, deployment, monitoring, and continuous improvement., • Provide technical leadership, mentorship, and guidance to AI Engineers, advocating responsible AI principles and strong engineering culture., • Ensure seamless integration of LLMOps and MLOps practices for production-ready deployments, including prompt engineering, fine-tuning, monitoring, and optimization., • Stay ahead of AI trends, evaluating new models, architectures, and tools to maintain competitive advantage. What qualifications you will need: • Bachelor's degree - Required, • Master's degree - Preferred, • 7+ years of experience in software engineering with a focus on ML and AI System Engineering - Required Knowledge, Skills, Abilities, Behaviors: • Advanced proficiency in Python, particularly in object-oriented programming, API development (e.g., using Flask), and working with SQL - Required, • Deep expertise in large language models (LLMs) , customer LLM framework , Agentic AI and familiarity with best practices in LLMops, alongside substantial experience with MLOps frameworks such as Vertex AI - Required, • Extensive experience with NLP frameworks and libraries such as SpaCy, Transformers, HuggingFace, LangChain, as well as familiarity with other tools (PyTorch, TensorFlow, scikit-learn, NLTK) and techniques including topic modeling, named entity recognition, and information retrieval - Required, • Practical experience with large language model prompting techniques, including zero-shot, few-shot, and chain-of-thought strategies - Required, • Experience with modern Python development practices including type checking, testing frameworks, and package management - Required, • Proven experience working within cloud computing environments, ideally on Google Cloud Platform (GCP), and a basic understanding of Infrastructure as Code (IaC) for cloud setups - Required, • Familiarity with ML Development Lifecycle management and MLOps best practices - Required, • Exceptional leadership, communication, and interpersonal skills, with a strong commitment to mentoring colleagues and fostering a diverse, equitable, and inclusive work environment - Required, • Understanding of ML/AI platform tooling and patterns - Preferred Work Location/Schedule: • Remote (U.S. Only) - M-F, 8am – 5pm - Central Time Travel Required: • This job requires travel to Nashville, TN to attend final interview, 3-day New Hire Orientation, quarterly team meetings, and other travel on as-needed basis Visa Sponsorship: • Not offered, now or in the future

Requirements: • Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related technical discipline., • 5+ years of experience as an electrical consultant, application or development engineer, or in a related industry position., • Strong CAD skills., • Strong computer software skills., • Strong knowledge of commercial and industrial electrical power systems, application analysis, and estimating., • Ability to interpret and apply applicable codes and standards, including NEC, NFPA, IBC, and IEEE requirements., • Ability to read, write, and communicate effectively in English. Pluses: • Power system modeling for fault-current, protective-device coordination, and arc-flash studies using SKM., • Utility interconnection applications and process management., • Experience supporting microgrid system design-build projects., • Experience providing post-sale engineering or project management support. Job Description: The Project Development Engineer serves as the technical resource for the sales team during pre-sale development. The role supports opportunity scoping, costing, application analysis, and alignment with client design intent. After award, the engineer remains involved as a system technical resource within the project management team. Assignments may include turnkey projects, equipment-only projects, and one-off specialty projects. Success in this role depends on accurate, effective project development engineering support that produces well-defined awarded projects. Key Responsibilities: • Serve as the technical liaison for the sales team throughout opportunity development., • Review specifications, drawings, and customer requests to define project scope, schedule, risk, and technical delivery requirements., • Develop conceptual drawing packages, including electrical one-line diagrams and site layouts., • Apply commercial and industrial electrical power systems knowledge to application analysis and project estimating., • Assist sales with the development of project scope, schedule, risk, and project information management requirements., • Coordinate with sales, product engineering, and manufacturing leads to establish a complete and shared understanding of each project., • Communicate effectively with internal team members during estimate and proposal development., • Specify equipment and obtain accurate vendor quotations., • Understand utility interconnection applications and support management of the interconnection process., • Provide post-sale engineering support and participate in engineering project management activities., • Balance multiple projects and documentation requirements while managing pre-sale and post-sale tasks within the ERP system., • Contribute to new product offering discussions and maintain awareness of industry products, applications, and technology trends., • Develop knowledge of the product line, business models, sales process, strategic goals, and project delivery requirements., • Participate in company training, industry events, product training, certification classes, and marketing events as requested., • Travel to client projects, vendors, job sites, and events when required.

Full Job Description Predictive Safety sets a new standard for safety and human performance for individuals, organizations, and entire industries worldwide. Through predictive analytics, we help organizations increase safety, reduce risk, and optimize human performance with technology that evaluates fitness for work and proactively addresses fatigue and alertness issues before they become a risk. Learn The Opportunity Predictive Safety is seeking a hands-on Senior .NET Development Lead to join our software engineering team. This is a technical leadership position for an experienced software engineer who can lead, coach, and build. You will manage development work and priorities while remaining deeply involved in architecture, coding, troubleshooting, code reviews, and the day-to-day operation of complex SaaS systems. You will work closely with our executive leadership, developers, SQA, and DevOps teams to deliver secure, scalable, high-quality software. You will also help us expand the practical use of AI throughout our software development lifecycle. The ideal candidate has significant experience building and supporting enterprise SaaS applications and enjoys solving difficult technical problems while helping other engineers become more effective. Responsibilities • Manage software development work through Azure DevOps and the full SDLC., • Ensure work is properly defined, documented, prioritized, assigned, and tracked., • Coordinate development, SQA, DevOps, product, and other stakeholders., • Work with the CTO to establish priorities, plan releases, and manage changing requirements., • Monitor progress, identify risks and dependencies, and keep projects moving., • Help improve development processes, quality, and velocity. Coach • Provide day-to-day technical leadership and mentorship to developers., • Conduct code and pull-request reviews., • Help engineers troubleshoot difficult technical and architectural problems., • Maintain a deep understanding of our products, architecture, infrastructure, and codebase., • Establish and reinforce effective engineering practices., • Lead by example in the use of AI for development, troubleshooting, analysis, testing, and productivity. Build • Design and develop new capabilities and significant enhancements to our SaaS applications., • Write, test, debug, and deploy production-quality software., • Participate in architecture and technical design decisions., • Improve application performance, scalability, security, reliability, and maintainability., • Remain hands-on enough to understand and solve the team's most challenging technical problems. Experience Required We are looking for a senior engineer and technical leader with substantial professional experience developing and supporting complex SaaS applications. You should have: • 8+ years of professional software development experience, with significant experience in C# and .NET., • 3+ years of experience providing technical leadership, such as leading developers, managing development work, mentoring engineers, or serving as a technical lead., • Demonstrated experience taking software through the full SDLC, from requirements and architecture through development, testing, deployment, and production support., • Significant experience building and maintaining secure, scalable, internet-facing enterprise applications., • Experience troubleshooting and supporting complex, high-volume, multi-tier, multi-tenant, or distributed applications., • Experience working directly with technical leadership, product stakeholders, and other teams to establish priorities and deliver software., • Experience working in a cloud-based development environment, preferably Microsoft Azure., • Experience using AI tools in software development, engineering analysis, troubleshooting, testing, or other parts of the SDLC., • Experience working effectively with remote or geographically distributed teams. Technical Experience Strong hands-on experience with the following is expected: Microsoft and Web Development • C#, • .NET Framework 4.8 and modern .NET/.NET Core, • ASP.NET, • REST APIs, • HTML5, CSS3, JavaScript, Bootstrap, jQuery, and related web technologies, • Visual Studio, • Git Azure and DevOps • Microsoft Azure, • Azure DevOps, • Azure Functions, • Application Insights, • CI/CD pipelines, • YAML, • PowerShell, • Power Automate Data • Microsoft SQL Server, • SQL development and optimization, • Stored procedures, • Database and data architecture, • Entity Framework, • SQL Server Management Studio, • Troubleshooting database performance in Azure environments Quality and Troubleshooting • Unit and integration testing, • Debugging complex production issues, • Performance analysis and optimization, • Diagnosing issues across applications, databases, operating systems, browsers, virtual machines, containers, and distributed systems Preferred Experience (Experience with any of the following is a plus) • Workplace safety, HSE, EHS, fatigue management, human performance, or related technology., • Automated testing frameworks such as Playwright, Puppeteer, or Selenium., • Messaging and event-streaming technologies such as Kafka or ActiveMQ., • MCP or WebMCP., • DevSecOps and application security practices., • SAST, DAST, IAST, or RASP., • Data privacy and compliance requirements such as SOC 2, ISO 27001, GDPR, CCPA, HIPAA, PIPEDA, or similar frameworks., • Browser, Windows, iOS, or Android application development., • AI-assisted development, coding agents, automated testing, or AI-enabled engineering workflows. What We're Looking For: The strongest candidate will be someone who combines deep technical experience with leadership ability. You should be: • A strong systems thinker who can understand how complex applications and technologies work together., • An exceptional analytical and problem solver., • Comfortable getting into the code and solving problems alongside the development team., • Comfortable making technical decisions and explaining them to both engineers and executives., • Organized and capable of managing multiple priorities in a changing environment., • An effective communicator and mentor., • Curious about emerging technologies and willing to determine where they can provide real business value., • Comfortable taking ownership and being accountable for results., • Someone who enjoys making both software and the people building it better. Work Environment • Fully remote, working with a globally distributed team., • Direct interaction with engineering, executive leadership, and other areas of the company., • Fast-paced environment with changing priorities and an emphasis on practical, high-quality delivery., • Significant opportunity to influence our technology, engineering practices, and future product direction. Pay: $120,000.00 - $140,000.00 per year Benefits: • Dental insurance, • Flexible schedule, • Health insurance, • Paid time off, • Vision insurance Work Location: Remote

As a Mid to Senior Substation Engineer at QTIB Engineers, you will support the engineering and design of high-voltage and medium-voltage substations from conceptual design through construction and commissioning. Mid-level engineers will independently execute engineering analyses and design tasks, while senior engineers will provide technical leadership, mentor team members, and guide key engineering decisions throughout project execution. We are seeking engineers with experience in one or more of the following disciplines: • Substation Physical Design, • Protection & Control (P&C) Design, • Relay Settings Role Description The Substation Engineer (Mid-Senior Level) will provide engineering and design services for high-voltage and medium-voltage substations, including physical layouts, equipment specifications, protection and control systems, grounding and lightning protection, and associated engineering studies. Day-to-day responsibilities include preparing calculations and design deliverables, reviewing vendor and contractor documentation, supporting project execution, and ensuring compliance with applicable utility, client, and industry standards. The role will involve coordinating with project managers, designers, and external stakeholders to support project schedules, budgets, and quality objectives while contributing to a collaborative engineering environment. Depending on experience level, the engineer may also provide technical guidance, mentor junior staff, lead design reviews, and support construction, testing, commissioning, and troubleshooting activities. Responsibilities • Technical Decision-Making: Take day-to-day responsibility for engineering judgments, design approaches, equipment applications, and technical solutions with a high degree of autonomy., • Engineering Design: Perform detailed engineering and design of high-voltage and medium-voltage substations, including physical layouts, protection and control systems, relay setting development, equipment applications, and associated calculations., • Deliverable Creation: Develop comprehensive engineering packages, including one-line diagrams, relay schematics, wiring diagrams, yard layouts, grounding plans, equipment specifications, calculations, and construction drawing sets., • Engineering Studies & Analysis: Perform and review grounding studies, short-circuit analyses, equipment duty evaluations, protection coordination studies, load flow analyses, voltage drop assessments, arc flash studies, and other substation engineering studies as required., • Workflow Optimization: Establish and refine standard design criteria, engineering templates, calculation tools, and QA/QC procedures to improve project consistency, quality, and efficiency., • Client & Project Coordination: Collaborate with project managers, utility clients, equipment manufacturers, and other stakeholders to define project requirements, maintain technical alignment, and support successful project execution., • Document Review & Compliance: Review vendor drawings, contractor submittals, and technical documentation while ensuring compliance with client standards and applicable industry codes, including IEEE, NESC, NEC, IEC, and utility-specific requirements., • Team Development: Provide technical mentorship, guidance, and QA/QC reviews for junior engineers, designers, and drafting personnel., • Construction & Commissioning Support: Support construction and commissioning activities by resolving field issues, responding to contractor RFIs, reviewing submittals, and assisting with testing and energization efforts. Qualifications • Education: Bachelor of Science degree in Electrical, Civil, or Mechanical Engineering from an ABET-accredited program. Electrical Engineering is preferred for Protection & Control and Relay Settings disciplines., • Licensure:, • Mid level: Engineer-in-Training (EIT) certification is highly preferred, • Senior level: Professional Engineer (PE) license is highly preferred, • Experience:, • Mid level: 3-6 years of progressive experience in substation physical design, P&C design, or relay settings., • Senior level: 6+ years of progressive experience in substation physical design, P&C design, or relay settings, with demonstrated experience leading technical aspects of engineering projects., • Software Mastery: High proficiency in Bluebeam Revu and Microsoft Office Suite. Proficiency with AutoCAD, MicroStation, Bentley Substation, Mathcad, WinIGS, CDEGS, ASPEN OneLiner, ETAP, and SEL acSELerator QuickSet is highly preferred., • Decision-Making Ability: Strong analytical, problem-solving, and troubleshooting skills for design, construction, and operational issues., • Communication: Strong verbal and written communication skills to write clear technical reports, specifications, and interface effectively with project stakeholders. Location & Work Model • Orlando Metro Area Applicants: This position operates under a flexible hybrid work model (90% remote, 10% in-office). Collaboration days will be spent in our local office, while daily execution can be performed from your home office., • Applicants Outside the Orlando Metro Area: This position is fully remote. QTIB Engineers 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, age, protected veteran status, or disability status.