Staffing Pros, a division of VETS Inc., is recruiting for a full-time Microsoft Security Engineer based on-site at the Beltsville, MD office, with occasional travel to the Washington, DC office. This candidate needs to have handson experience in Data Loss Prevention (DLP) and the Microsoft Security ecosystem, including Microsoft Purview. This role supports the protection of sensitive government and enterprise data across cloud, endpoint, and database environments, with a strong focus on compliance, governance, and risk reduction. Responsibilities: Design, implement, and maintain DLP policies within Microsoft 365 and related security services. Configure and manage Microsoft Purview capabilities, including: DLP policies Sensitivity labels and information protection Data classification and governance controls Protect sensitive data across structured data sources, including SQL databases and data platforms. Partner with database, cloud, and application teams to ensure sensitive data is properly classified, monitored, and protected. Monitor DLP alerts, investigate incidents, and support response and remediation efforts. Support security compliance and audit activities aligned with federal and organizational requirements. Create and maintain security documentation, procedures, and standards. Operate in accordance with security best practices for cleared environments. Required Qualifications: 5+ years of hands-on experience with Data Loss Prevention (DLP) technologies and the Microsoft Security ecosystem. Must have a Secret clearance with the ability to obtain a Top-Secret clearance is required. Must be able to commute to Beltsville, MD and occasionally to Washington, DC for full-time onsite work. Must have a security background combined with data and database familiarity (e.g., SQL) and experience operating in a federal environment. Experience working within the Microsoft Security stack, including Microsoft 365 security features. Familiarity with Microsoft Purview, particularly for DLP, data classification, or information protection. Experience or working knowledge of SQL or database environments, especially as it relates to data security and governance. Understanding of data protection principles, sensitive data types, and access controls. Strong analytical, documentation, and troubleshooting skills. US Citizenship is required. Preferred Qualifications: Experience implementing DLP or Purview controls in government or cleared environments. Background in database administration, data management, or data engineering with a security focus. Familiarity with security or compliance frameworks (e.g., NIST). Microsoft security certifications (SC400, SC200, Azure Security), preferred but not required. EEO Statement Staffing Pros a division of VETS-inc is an Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities. The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractors legal duty to furnish information.
08/05/2026
Staffing Pros, a division of VETS Inc., is recruiting for a full-time Microsoft Security Engineer based on-site at the Beltsville, MD office, with occasional travel to the Washington, DC office. This candidate needs to have handson experience in Data Loss Prevention (DLP) and the Microsoft Security ecosystem, including Microsoft Purview. This role supports the protection of sensitive government and enterprise data across cloud, endpoint, and database environments, with a strong focus on compliance, governance, and risk reduction. Responsibilities: Design, implement, and maintain DLP policies within Microsoft 365 and related security services. Configure and manage Microsoft Purview capabilities, including: DLP policies Sensitivity labels and information protection Data classification and governance controls Protect sensitive data across structured data sources, including SQL databases and data platforms. Partner with database, cloud, and application teams to ensure sensitive data is properly classified, monitored, and protected. Monitor DLP alerts, investigate incidents, and support response and remediation efforts. Support security compliance and audit activities aligned with federal and organizational requirements. Create and maintain security documentation, procedures, and standards. Operate in accordance with security best practices for cleared environments. Required Qualifications: 5+ years of hands-on experience with Data Loss Prevention (DLP) technologies and the Microsoft Security ecosystem. Must have a Secret clearance with the ability to obtain a Top-Secret clearance is required. Must be able to commute to Beltsville, MD and occasionally to Washington, DC for full-time onsite work. Must have a security background combined with data and database familiarity (e.g., SQL) and experience operating in a federal environment. Experience working within the Microsoft Security stack, including Microsoft 365 security features. Familiarity with Microsoft Purview, particularly for DLP, data classification, or information protection. Experience or working knowledge of SQL or database environments, especially as it relates to data security and governance. Understanding of data protection principles, sensitive data types, and access controls. Strong analytical, documentation, and troubleshooting skills. US Citizenship is required. Preferred Qualifications: Experience implementing DLP or Purview controls in government or cleared environments. Background in database administration, data management, or data engineering with a security focus. Familiarity with security or compliance frameworks (e.g., NIST). Microsoft security certifications (SC400, SC200, Azure Security), preferred but not required. EEO Statement Staffing Pros a division of VETS-inc is an Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities. The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractors legal duty to furnish information.
Job Description Job Description At Ouster, we build sensors and tools for engineers, roboticists, and researchers, so they can make the world safer and more efficient. We've transformed LIDAR from an analog device with thousands of components to an elegant digital device powered by one chip-scale laser array and one CMOS sensor. The result is a full range of high-resolution LIDAR sensors that deliver superior imaging at a dramatically lower price. Our advanced sensor hardware and vision algorithms are used in autonomous cars, robotics, industrial, and smart infrastructure applications (among many others). If you're motivated by solving big problems, we're hiring key roles across the company and need your help! We are looking for a highly technical Machine Learning Engineer to lead our efforts in Object Detection and Tracking. You will not simply be "importing" pre-made models; you will be architecting deep neural networks, translating state-of-the-art research papers into code, and optimizing these systems for real-time, on-device performance. This role requires a deep knowledge of neural network architectures. You should be confident ripping apart a model to modify layers, loss functions, and data flows to fit our specific constraints. Key Responsibilities Architect Unified Models: Design and train DNN models that perform Object Detection and Tracking simultaneously, leveraging temporal information to improve consistency. Research to Production: Evaluate state-of-the-art research papers and prototype these concepts (turning papers into code) and adapt them into robust, production-grade solutions. Deep Model Customization: Go beyond standard libraries by implementing custom loss functions, modifying internal model architectures, and designing specific data augmentation strategies to squeeze out maximum performance. Edge Optimization: Ensure high accuracy is matched by high efficiency. Optimize models for real-time inference and on-device deployment. Data Strategy: Develop training recipes for data-constrained environments and effective post-training strategies. Required Qualifications Core Stack: 5+ years proficiency in Python and PyTorch. 3+ years proficiency in C++ for production deployment and optimization. Detection & Tracking: Deep theoretical and practical understanding of modern object detectors (e.g., Transformers, YOLO variants, R-CNNs) and tracking algorithms (e.g., DeepSORT, Kalman Filters, Optical Flow). Architecture Internals: Proven experience not being dependent on "out-of-the-box" APIs. You have a track record of modifying model architectures via extensive experimentation to meet specific requirements. Low-Data Regimes: Experience improving model generalization with limited data using Transfer Learning, Domain Adaptation, or Few-Shot Learning. Mathematical Foundation: Strong grasp of linear algebra and probability as it applies to custom loss function design and geometric 3D vision. Preferred Qualifications 3D / LiDAR Experience: Hands-on experience with 3D Point Cloud data (LiDAR) is a massive plus. Deployment Tools: Experience with TensorRT, ONNX Runtime, or edge-specific hardware (NVIDIA Jetson, etc.). The base pay will be dependent on your skills, work experience, location, and qualifications. This role may also be eligible for equity & benefits. ($180,000-220,000) We acknowledge the confidence gap at Ouster. You do not need to meet all of these requirements to be the ideal candidate for this role. Ouster is an Equal Employment Opportunity employer that pursues and hires a diverse workforce. Ouster does not make employment decisions on the basis of race, color, religion, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military status, or any other basis protected by local, state, or federal laws. Ouster also strives for a healthy and safe workplace, and prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance, Ouster considers qualified applicants with arrest and conviction records for employment. If you have a disability or special need that requires accommodation, please let us know. Powered by JazzHR POaf4TokKv
08/05/2026
Full time
Job Description Job Description At Ouster, we build sensors and tools for engineers, roboticists, and researchers, so they can make the world safer and more efficient. We've transformed LIDAR from an analog device with thousands of components to an elegant digital device powered by one chip-scale laser array and one CMOS sensor. The result is a full range of high-resolution LIDAR sensors that deliver superior imaging at a dramatically lower price. Our advanced sensor hardware and vision algorithms are used in autonomous cars, robotics, industrial, and smart infrastructure applications (among many others). If you're motivated by solving big problems, we're hiring key roles across the company and need your help! We are looking for a highly technical Machine Learning Engineer to lead our efforts in Object Detection and Tracking. You will not simply be "importing" pre-made models; you will be architecting deep neural networks, translating state-of-the-art research papers into code, and optimizing these systems for real-time, on-device performance. This role requires a deep knowledge of neural network architectures. You should be confident ripping apart a model to modify layers, loss functions, and data flows to fit our specific constraints. Key Responsibilities Architect Unified Models: Design and train DNN models that perform Object Detection and Tracking simultaneously, leveraging temporal information to improve consistency. Research to Production: Evaluate state-of-the-art research papers and prototype these concepts (turning papers into code) and adapt them into robust, production-grade solutions. Deep Model Customization: Go beyond standard libraries by implementing custom loss functions, modifying internal model architectures, and designing specific data augmentation strategies to squeeze out maximum performance. Edge Optimization: Ensure high accuracy is matched by high efficiency. Optimize models for real-time inference and on-device deployment. Data Strategy: Develop training recipes for data-constrained environments and effective post-training strategies. Required Qualifications Core Stack: 5+ years proficiency in Python and PyTorch. 3+ years proficiency in C++ for production deployment and optimization. Detection & Tracking: Deep theoretical and practical understanding of modern object detectors (e.g., Transformers, YOLO variants, R-CNNs) and tracking algorithms (e.g., DeepSORT, Kalman Filters, Optical Flow). Architecture Internals: Proven experience not being dependent on "out-of-the-box" APIs. You have a track record of modifying model architectures via extensive experimentation to meet specific requirements. Low-Data Regimes: Experience improving model generalization with limited data using Transfer Learning, Domain Adaptation, or Few-Shot Learning. Mathematical Foundation: Strong grasp of linear algebra and probability as it applies to custom loss function design and geometric 3D vision. Preferred Qualifications 3D / LiDAR Experience: Hands-on experience with 3D Point Cloud data (LiDAR) is a massive plus. Deployment Tools: Experience with TensorRT, ONNX Runtime, or edge-specific hardware (NVIDIA Jetson, etc.). The base pay will be dependent on your skills, work experience, location, and qualifications. This role may also be eligible for equity & benefits. ($180,000-220,000) We acknowledge the confidence gap at Ouster. You do not need to meet all of these requirements to be the ideal candidate for this role. Ouster is an Equal Employment Opportunity employer that pursues and hires a diverse workforce. Ouster does not make employment decisions on the basis of race, color, religion, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military status, or any other basis protected by local, state, or federal laws. Ouster also strives for a healthy and safe workplace, and prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance, Ouster considers qualified applicants with arrest and conviction records for employment. If you have a disability or special need that requires accommodation, please let us know. Powered by JazzHR POaf4TokKv
Job Description Job Description About the Role Join a fast-moving, pre-seed-backed AI startup building the next generation of agentic systems that automate complex, multi-step workflows across regulated and enterprise domains - including healthcare, legal, fintech, logistics, and compliance. As a mid-level AI Engineer on the core product team, you'll own production LLM-based services end-to-end, collaborate closely with founders and product, and ship features that deliver measurable impact for real users. What You'll Do Design, build, and maintain agentic systems that automate complex, multi-step workflows across regulated industries. Own production retrieval-augmented generation (RAG) pipelines and retrieval infrastructure, including vector databases, embeddings, and indexing for domain-specific search at scale. Implement multi-agent orchestration, tool-calling, memory, and reasoning components to deliver robust AI-driven user experiences. Develop evaluation and safety infrastructure to measure model performance, surface regressions, and enforce enterprise-level trust and reliability. Ship full-stack AI products from MVP to enterprise-grade - designing APIs and data models, writing frontend and backend code, and operating production systems with CI/CD, monitoring, and testing. Collaborate with founders, product, and design to prioritize work, define success metrics, and iterate based on user feedback and telemetry. What We're Looking For Must-haves: 2-8 years of software engineering experience with demonstrated delivery of shipped user-facing or backend products. Practical experience deploying LLMs or LLM-based services in production, including prompt design, orchestration, and tool integration. Proficiency across the stack: Python plus TypeScript/React (or equivalent), cloud platforms (AWS or GCP), and relational or NoSQL databases. Working knowledge of RAG patterns, vector databases, embeddings, and retrieval pipelines, with sound judgment on when to apply each approach. Experience building automated tests, evaluations, and monitoring for AI systems to ensure reliability beyond demos. Experience designing API-driven, high-throughput systems and real-time product features. Nice-to-haves: Experience with agent or workflow frameworks (e.g., LangGraph, CrewAI) and orchestration tools (e.g., Temporal, Trigger). Familiarity with fine-tuning, parameter-efficient tuning, or multi-modal model integration. Background building multi-tenant or enterprise-ready systems, or prior experience in regulated industries such as healthcare, fintech, or legal. Compensation & Benefits Salary: $180,000 - $400,000 USD annually (reflecting a wide band across base and equity depending on experience). Early-stage equity in a venture-backed startup.
08/05/2026
Full time
Job Description Job Description About the Role Join a fast-moving, pre-seed-backed AI startup building the next generation of agentic systems that automate complex, multi-step workflows across regulated and enterprise domains - including healthcare, legal, fintech, logistics, and compliance. As a mid-level AI Engineer on the core product team, you'll own production LLM-based services end-to-end, collaborate closely with founders and product, and ship features that deliver measurable impact for real users. What You'll Do Design, build, and maintain agentic systems that automate complex, multi-step workflows across regulated industries. Own production retrieval-augmented generation (RAG) pipelines and retrieval infrastructure, including vector databases, embeddings, and indexing for domain-specific search at scale. Implement multi-agent orchestration, tool-calling, memory, and reasoning components to deliver robust AI-driven user experiences. Develop evaluation and safety infrastructure to measure model performance, surface regressions, and enforce enterprise-level trust and reliability. Ship full-stack AI products from MVP to enterprise-grade - designing APIs and data models, writing frontend and backend code, and operating production systems with CI/CD, monitoring, and testing. Collaborate with founders, product, and design to prioritize work, define success metrics, and iterate based on user feedback and telemetry. What We're Looking For Must-haves: 2-8 years of software engineering experience with demonstrated delivery of shipped user-facing or backend products. Practical experience deploying LLMs or LLM-based services in production, including prompt design, orchestration, and tool integration. Proficiency across the stack: Python plus TypeScript/React (or equivalent), cloud platforms (AWS or GCP), and relational or NoSQL databases. Working knowledge of RAG patterns, vector databases, embeddings, and retrieval pipelines, with sound judgment on when to apply each approach. Experience building automated tests, evaluations, and monitoring for AI systems to ensure reliability beyond demos. Experience designing API-driven, high-throughput systems and real-time product features. Nice-to-haves: Experience with agent or workflow frameworks (e.g., LangGraph, CrewAI) and orchestration tools (e.g., Temporal, Trigger). Familiarity with fine-tuning, parameter-efficient tuning, or multi-modal model integration. Background building multi-tenant or enterprise-ready systems, or prior experience in regulated industries such as healthcare, fintech, or legal. Compensation & Benefits Salary: $180,000 - $400,000 USD annually (reflecting a wide band across base and equity depending on experience). Early-stage equity in a venture-backed startup.
Location: Wappingers, NY or NYC - open to 100% onsite and hybridJob Type: PermanentCompensation Range: $80,000 - 110,000 per yearStep into a dynamic role where you will lead the visual evolution for a portfolio of upscale, globally recognized home décor and hospitality brands. You will have the opportunity to drive innovative product launches from concept to production, utilizing an advanced tech stack including SolidWorks and KeyShot. Enjoy a collaborative, high-visibility environment that offers a strong work-life balance and a hybrid schedule tailored to foster both creativity and focused execution Responsibilities:Responsible for the design, creation, and development of new products, in lighting and home décor categories.Participate in brainstorm sessions for product launches.Develop designs from multiple conceptual sources.Develop innovative concepts based on brand attributes.Collaborate with mechanical/electrical engineers and manufacturers.Participate in product review meetings and presentations with staff at all levels.Travel as necessary to meet project needs and attend industry-related events. Qualifications:3 to 7 years of professional experience in industrial, product, or home décor design.Proficiency in translating concepts using AutoCAD, SolidWorks, and KeyShot.Strong foundational knowledge of raw materials and manufacturing processes, such as metalworking and casting.A Bachelor's degree (BS/BFA) in Industrial Design, Product Design, or a closely related field.Bonus Points: Previous specialized experience in modern lighting design or hospitality fixtures is a strong plus!JOBID: 46 Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Cella, a randstad digital company, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Cella by randstad digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility). This posting is open for thirty (30) days.
08/05/2026
Full time
Location: Wappingers, NY or NYC - open to 100% onsite and hybridJob Type: PermanentCompensation Range: $80,000 - 110,000 per yearStep into a dynamic role where you will lead the visual evolution for a portfolio of upscale, globally recognized home décor and hospitality brands. You will have the opportunity to drive innovative product launches from concept to production, utilizing an advanced tech stack including SolidWorks and KeyShot. Enjoy a collaborative, high-visibility environment that offers a strong work-life balance and a hybrid schedule tailored to foster both creativity and focused execution Responsibilities:Responsible for the design, creation, and development of new products, in lighting and home décor categories.Participate in brainstorm sessions for product launches.Develop designs from multiple conceptual sources.Develop innovative concepts based on brand attributes.Collaborate with mechanical/electrical engineers and manufacturers.Participate in product review meetings and presentations with staff at all levels.Travel as necessary to meet project needs and attend industry-related events. Qualifications:3 to 7 years of professional experience in industrial, product, or home décor design.Proficiency in translating concepts using AutoCAD, SolidWorks, and KeyShot.Strong foundational knowledge of raw materials and manufacturing processes, such as metalworking and casting.A Bachelor's degree (BS/BFA) in Industrial Design, Product Design, or a closely related field.Bonus Points: Previous specialized experience in modern lighting design or hospitality fixtures is a strong plus!JOBID: 46 Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Cella, a randstad digital company, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Cella by randstad digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility). This posting is open for thirty (30) days.
Lead the Floor. Build the Team. Drive Production. Pelton Shepherd is looking for a hands-on Shift Supervisor who thrives in a fast-paced manufacturing environment and knows how to lead people, solve problems, and keep production moving. For more than 70 years, Pelton Shepherd has been a trusted manufacturer of temperature-controlled packaging solutions used in food, pharmaceutical, and medical supply chains nationwide. Our products play a critical role in protecting temperature-sensitive shipments across the country. If you're the type of leader who takes ownership, motivates teams, and drives results, we want to hear from you. What You'll Do As a Shift Supervisor, you'll lead production employees while ensuring operations run safely, efficiently, and on schedule. Lead & Develop the Team Supervise and support production employees during assigned shifts Coach, mentor, and hold team members accountable for performance Build a strong team culture focused on safety, quality, and productivity Drive Production Performance Monitor production metrics and maintain performance standards Help achieve operational efficiency targets Ensure production schedules and deadlines are met Quickly resolve production issues to minimize downtime Maintain Safety & Quality Standards Enforce Environmental, Health & Safety (EH&S) policies Ensure compliance with GMP and company SOPs Promote continuous improvement and operational excellence Support Operations When Needed Step in to assist with production tasks such as packing, stacking, or operating equipment Coordinate resources to keep production running smoothly What We're Looking For We're seeking a strong floor leader, not just a supervisor. Ideal candidates will have: 3-5 years of experience in manufacturing or production environments Proven ability to lead teams and drive results on the production floor Strong communication and problem-solving skills Ability to thrive in a fast-paced, high-accountability environment Mechanical aptitude is a plus A "roll-up-your-sleeves" leadership style Education Associate degree in Business, Engineering, or related field OR equivalent production leadership experience Physical Requirements Ability to stand for extended periods Ability to lift up to 50 lbs Ability to climb, kneel, crawl, and perform repetitive production tasks Why Join Pelton Shepherd Established company with 70+ years of industry leadership Opportunity to lead and grow a production team Fast-paced environment where your leadership makes a real impact Stable manufacturing operation supporting national supply chains Ready to lead a high-performing production team? Apply today and grow your leadership career with Pelton Shepherd. Compensation details: 0 Yearly Salary PI408a7f3aebaa-0824
08/05/2026
Full time
Lead the Floor. Build the Team. Drive Production. Pelton Shepherd is looking for a hands-on Shift Supervisor who thrives in a fast-paced manufacturing environment and knows how to lead people, solve problems, and keep production moving. For more than 70 years, Pelton Shepherd has been a trusted manufacturer of temperature-controlled packaging solutions used in food, pharmaceutical, and medical supply chains nationwide. Our products play a critical role in protecting temperature-sensitive shipments across the country. If you're the type of leader who takes ownership, motivates teams, and drives results, we want to hear from you. What You'll Do As a Shift Supervisor, you'll lead production employees while ensuring operations run safely, efficiently, and on schedule. Lead & Develop the Team Supervise and support production employees during assigned shifts Coach, mentor, and hold team members accountable for performance Build a strong team culture focused on safety, quality, and productivity Drive Production Performance Monitor production metrics and maintain performance standards Help achieve operational efficiency targets Ensure production schedules and deadlines are met Quickly resolve production issues to minimize downtime Maintain Safety & Quality Standards Enforce Environmental, Health & Safety (EH&S) policies Ensure compliance with GMP and company SOPs Promote continuous improvement and operational excellence Support Operations When Needed Step in to assist with production tasks such as packing, stacking, or operating equipment Coordinate resources to keep production running smoothly What We're Looking For We're seeking a strong floor leader, not just a supervisor. Ideal candidates will have: 3-5 years of experience in manufacturing or production environments Proven ability to lead teams and drive results on the production floor Strong communication and problem-solving skills Ability to thrive in a fast-paced, high-accountability environment Mechanical aptitude is a plus A "roll-up-your-sleeves" leadership style Education Associate degree in Business, Engineering, or related field OR equivalent production leadership experience Physical Requirements Ability to stand for extended periods Ability to lift up to 50 lbs Ability to climb, kneel, crawl, and perform repetitive production tasks Why Join Pelton Shepherd Established company with 70+ years of industry leadership Opportunity to lead and grow a production team Fast-paced environment where your leadership makes a real impact Stable manufacturing operation supporting national supply chains Ready to lead a high-performing production team? Apply today and grow your leadership career with Pelton Shepherd. Compensation details: 0 Yearly Salary PI408a7f3aebaa-0824
Midwest Family Mutual Insurance Company
Urbandale, Iowa
Description: Position Summary The MFM IT team has a long history of delivering and maintaining core business systems in a mid-sized Property & Casualty insurance environment. As we expand our development team and adopt new AI development tools, we are making a deliberate investment in building this capability correctly from the start. As we begin to build agentic AI capabilities within our enterprise system, we are looking for an experienced engineer with strong knowledge of agentic AI systems to help guide this effort. The Senior Agentic AI Specialist will work closely with MFM's Principal Architect, who leads overall platform architecture, and partner with senior developers to design, implement, and improve agent-based solutions. This role will bring specialized expertise in areas where we are still developing depth, including agent orchestration, retrieval pipelines, LLM evaluation, and prompt design. This is an ongoing platform effort, not a one-time project. The work will evolve over time as we expand capabilities, integrate new tools, and improve system quality. Our core systems are built on a Microsoft/.NET stack. As we develop our agentic AI capabilities, we expect to leverage cloud-based tooling (likely within Azure) where appropriate. We are pragmatic about using the right tools for the problem, while maintaining alignment with our existing platform and operational requirements. At Midwest Family we value practical experience, clear thinking, and the ability to apply these skills in a real-world environment. Application Requirements Cover Letter and Resume: Please include the following in your cover letter A description of an AI or agent-based system you have worked on, including your role and how you evaluated quality Your approach to reducing incorrect or unsupported outputs An example of how you supported other developers or teams in adopting AI capabilities Your physical remote work location state Salary expectations Responsibilities: Platform Architecture & Evolution : Provide input into AI-related architecture decisions. Evaluate tools, models, and approaches, and make practical recommendations based on trade-offs and outcomes. Agent Lifecycle Management: Design, build, and maintain agents. Define prompts and configurations, support routing decisions, and monitor performance in production. RAG Pipeline Engineering: Improve retrieval quality by working with chunking strategies, embeddings, search methods, and metadata filtering. Support onboarding of new knowledge sources. Quality & Hallucination Reduction: Help reduce incorrect or unsupported outputs through system design, testing, and monitoring. Apply practical approaches across prompts, retrieval, and model behavior. Evaluation & Testing: Develop and maintain evaluation approaches to measure output quality, including relevance and accuracy. Support regression testing and identify failure patterns. Prompt Engineering: Create and maintain prompts for different agents. Diagnose unexpected behavior and develop reusable patterns where appropriate. Tool Integration: Support integration with internal systems and APIs. Help manage tool access and ensure reliable execution and error handling. Observability & Operations: Contribute to logging, tracing, and monitoring. Support analysis of system behavior, cost, and performance in production. Governance & Configuration: Work with configuration across agents, prompts, and models. Ensure changes are version-controlled and reviewed. Developer Support: Work with other developers to share knowledge, review designs, and establish consistent approaches. Research & Evaluation: Stay current with new models and tools. Evaluate them in a structured way and recommend adoption where appropriate. Requirements: Education & Certification College degree or Programming Certification (preferred) 5+ years of equivalent work experience Required Experience Experience building or working with AI/LLM-based systems in a production or near-production environment Strong understanding of agent-based patterns (ReAct, tool usage, etc.) Experience with retrieval-based systems (RAG), vector stores, or search pipelines Familiarity with evaluating non-deterministic system outputs Experience improving system quality through testing and iteration Strong software engineering skills required. Experience with Python, TypeScript, or C# preferred Ability to work across technologies and integrate AI solutions into an existing enterprise environment Preferred Experience Experience working with multiple LLM providers Familiarity with emerging tools and frameworks in the agentic AI space Experience integrating with enterprise systems and data sources Experience mentoring or supporting other developers Personal Attributes Strategic thinker with strong analytical and problem-solving skills Technically proficient with broad systems knowledge Excellent interpersonal, written, and verbal communication skills Self-directed, collaborative, and highly organized Customer-oriented and able to navigate high-pressure environments Flexible and adaptable in regards to learning and understanding new technologies. Exceptional organizational skills and ability to keep track of multiple projects at a time. Ability to conduct research into software-related issues and products. Technically proficient. Exceptional attention to detail. Ability to work both independently and in a team-oriented, collaborative environment. Work Conditions Remote work environment following core hours 8AM-5PM Central Time Overtime may be required to meet project deadlines or monitor system processes. Sitting for extended periods of time. Dexterity of hands and fingers to operate a computer keyboard, mouse, and other devices. Minimal travel will be required for the purpose of off-site software training and team meetings. Physically able to participate in virtual and in-person training sessions, presentations, and meetings. PI6a59fdda4e68-4236
08/05/2026
Full time
Description: Position Summary The MFM IT team has a long history of delivering and maintaining core business systems in a mid-sized Property & Casualty insurance environment. As we expand our development team and adopt new AI development tools, we are making a deliberate investment in building this capability correctly from the start. As we begin to build agentic AI capabilities within our enterprise system, we are looking for an experienced engineer with strong knowledge of agentic AI systems to help guide this effort. The Senior Agentic AI Specialist will work closely with MFM's Principal Architect, who leads overall platform architecture, and partner with senior developers to design, implement, and improve agent-based solutions. This role will bring specialized expertise in areas where we are still developing depth, including agent orchestration, retrieval pipelines, LLM evaluation, and prompt design. This is an ongoing platform effort, not a one-time project. The work will evolve over time as we expand capabilities, integrate new tools, and improve system quality. Our core systems are built on a Microsoft/.NET stack. As we develop our agentic AI capabilities, we expect to leverage cloud-based tooling (likely within Azure) where appropriate. We are pragmatic about using the right tools for the problem, while maintaining alignment with our existing platform and operational requirements. At Midwest Family we value practical experience, clear thinking, and the ability to apply these skills in a real-world environment. Application Requirements Cover Letter and Resume: Please include the following in your cover letter A description of an AI or agent-based system you have worked on, including your role and how you evaluated quality Your approach to reducing incorrect or unsupported outputs An example of how you supported other developers or teams in adopting AI capabilities Your physical remote work location state Salary expectations Responsibilities: Platform Architecture & Evolution : Provide input into AI-related architecture decisions. Evaluate tools, models, and approaches, and make practical recommendations based on trade-offs and outcomes. Agent Lifecycle Management: Design, build, and maintain agents. Define prompts and configurations, support routing decisions, and monitor performance in production. RAG Pipeline Engineering: Improve retrieval quality by working with chunking strategies, embeddings, search methods, and metadata filtering. Support onboarding of new knowledge sources. Quality & Hallucination Reduction: Help reduce incorrect or unsupported outputs through system design, testing, and monitoring. Apply practical approaches across prompts, retrieval, and model behavior. Evaluation & Testing: Develop and maintain evaluation approaches to measure output quality, including relevance and accuracy. Support regression testing and identify failure patterns. Prompt Engineering: Create and maintain prompts for different agents. Diagnose unexpected behavior and develop reusable patterns where appropriate. Tool Integration: Support integration with internal systems and APIs. Help manage tool access and ensure reliable execution and error handling. Observability & Operations: Contribute to logging, tracing, and monitoring. Support analysis of system behavior, cost, and performance in production. Governance & Configuration: Work with configuration across agents, prompts, and models. Ensure changes are version-controlled and reviewed. Developer Support: Work with other developers to share knowledge, review designs, and establish consistent approaches. Research & Evaluation: Stay current with new models and tools. Evaluate them in a structured way and recommend adoption where appropriate. Requirements: Education & Certification College degree or Programming Certification (preferred) 5+ years of equivalent work experience Required Experience Experience building or working with AI/LLM-based systems in a production or near-production environment Strong understanding of agent-based patterns (ReAct, tool usage, etc.) Experience with retrieval-based systems (RAG), vector stores, or search pipelines Familiarity with evaluating non-deterministic system outputs Experience improving system quality through testing and iteration Strong software engineering skills required. Experience with Python, TypeScript, or C# preferred Ability to work across technologies and integrate AI solutions into an existing enterprise environment Preferred Experience Experience working with multiple LLM providers Familiarity with emerging tools and frameworks in the agentic AI space Experience integrating with enterprise systems and data sources Experience mentoring or supporting other developers Personal Attributes Strategic thinker with strong analytical and problem-solving skills Technically proficient with broad systems knowledge Excellent interpersonal, written, and verbal communication skills Self-directed, collaborative, and highly organized Customer-oriented and able to navigate high-pressure environments Flexible and adaptable in regards to learning and understanding new technologies. Exceptional organizational skills and ability to keep track of multiple projects at a time. Ability to conduct research into software-related issues and products. Technically proficient. Exceptional attention to detail. Ability to work both independently and in a team-oriented, collaborative environment. Work Conditions Remote work environment following core hours 8AM-5PM Central Time Overtime may be required to meet project deadlines or monitor system processes. Sitting for extended periods of time. Dexterity of hands and fingers to operate a computer keyboard, mouse, and other devices. Minimal travel will be required for the purpose of off-site software training and team meetings. Physically able to participate in virtual and in-person training sessions, presentations, and meetings. PI6a59fdda4e68-4236
JOB SUMMARY Specialty Systems, Inc. has an opening for a RED Hat Platform Engineer to join our team of technical professionals supporting Government customers and national security mission requirements. In this role, you will support the design, implementation, automation, and sustainment of Red Hat Enterprise Linux (RHEL)-based platform environments supporting mission-critical defense systems and software-intensive applications. The position involves working within Government-provided environments while supporting secure infrastructure operations, platform modernization, DevSecOps integration, and system lifecycle management activities. As a member of the Specialty Systems team, you will contribute directly to secure and reliable platform solutions that support critical defense and intelligence missions. This position is located at our customer site location. In this position, you will work our customer's Compressed Work Schedule which consists of working four 9-hour days (M-Th) and an 8-hour day (F) for the first week of a cycle followed by four 9-hour days (M-Th) and being off on the second Friday for the second week of a cycle. This results in a 3-day weekend every other week! RESPONSIBILITIES Design, implement, and maintain Red Hat Enterprise Linux (RHEL)-based platform infrastructure across development, test, and operational environments Automate system provisioning, configuration management, deployment, and documentation using Infrastructure-as-Code (IaC) tools Administer Linux systems including system hardening, patching, upgrades, and lifecycle management Support containerized environments utilizing Docker, Podman, Kubernetes, and OpenShift technologies Integrate platform capabilities into DevSecOps pipelines and CI/CD workflows Implement and maintain security controls in compliance with DoD cybersecurity requirements including STIGs and RMF Monitor system performance, troubleshoot platform issues, and ensure reliability, scalability, and availability Manage storage, file systems, and system resources to optimize system performance Support virtualization and cloud-based environments including VMware, OpenStack, AWS, or similar technologies Collaborate with software development, systems engineering, cybersecurity, and test teams to support system integration and operational readiness Maintain system documentation, architecture diagrams, configuration baselines, and technical procedures Identify technical risks and support continuous improvement and modernization initiatives across platform environments QUALIFICATIONS : Minimum Qualifications Include: Bachelor's degree in Computer Science, Engineering, Information Systems, or related technical discipline preferred Equivalent work experience may be considered in lieu of degree requirements Active Secret Clearance required or ability to obtain and maintain a Secret Clearance Minimum of 5 years of experience supporting Linux systems administration and engineering, preferably within RHEL-based environments Security+ CE certification or ability to obtain certification within 3-6 months of hire Strong experience administering and engineering Red Hat Enterprise Linux (RHEL) environments Experience with scripting and automation using Bash, Python, Ansible, Terraform, or similar tools Experience supporting containerization and orchestration technologies including Docker, Podman, Kubernetes, and OpenShift Familiarity with DevSecOps methodologies and CI/CD pipeline integration Working knowledge of networking concepts, Linux security, and infrastructure operations Experience implementing and maintaining STIG compliance and RMF security controls Strong troubleshooting, analytical, and problem-solving skills Excellent written and verbal communication skills Ability to work effectively within collaborative Government and contractor team environments Preferred Qualifications: Experience supporting Navy, NAVAIR, or DoD programs Red Hat certifications such as RHCSA or RHCE Experience supporting enterprise Kubernetes or OpenShift environments Experience with cloud-based infrastructure and virtualization technologies Familiarity with secure platform modernization initiatives and mission-critical system environments Experience supporting classified or highly regulated environments Specialty Systems, Inc. provides equal employment opportunity (EEO) to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, genetic information, marital status, ancestry, protected veteran status, or any other characteristic protected by applicable federal, state, and local laws and offers equal opportunity for VEVRAA Protected Veterans. Specialty Systems, Inc. will not discriminate against employees and job applicants who inquire about, discuss, or disclose compensation information. Reasonable accommodation that do not cause an undue hardship on the company may be made to enable individuals with disabilities to perform essential functions, as long as that would not hinder or prevent performance of duties or be of a safety concern. PHYSICAL DEMANDS: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of the job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is required to reach with hands and arms. The employee is frequently required to sit, stand and walk. The employee may be required to move ten pounds and could occasionally lift or move up to twenty-five pounds. Disclaimer: The listed duties are not intended to serve as a comprehensive list of all duties performed by all employees in this classification, only a representative summary of primary duties and responsibilities. Compensation details: 00 Yearly Salary PIbe674f94049d-1081
08/05/2026
Full time
JOB SUMMARY Specialty Systems, Inc. has an opening for a RED Hat Platform Engineer to join our team of technical professionals supporting Government customers and national security mission requirements. In this role, you will support the design, implementation, automation, and sustainment of Red Hat Enterprise Linux (RHEL)-based platform environments supporting mission-critical defense systems and software-intensive applications. The position involves working within Government-provided environments while supporting secure infrastructure operations, platform modernization, DevSecOps integration, and system lifecycle management activities. As a member of the Specialty Systems team, you will contribute directly to secure and reliable platform solutions that support critical defense and intelligence missions. This position is located at our customer site location. In this position, you will work our customer's Compressed Work Schedule which consists of working four 9-hour days (M-Th) and an 8-hour day (F) for the first week of a cycle followed by four 9-hour days (M-Th) and being off on the second Friday for the second week of a cycle. This results in a 3-day weekend every other week! RESPONSIBILITIES Design, implement, and maintain Red Hat Enterprise Linux (RHEL)-based platform infrastructure across development, test, and operational environments Automate system provisioning, configuration management, deployment, and documentation using Infrastructure-as-Code (IaC) tools Administer Linux systems including system hardening, patching, upgrades, and lifecycle management Support containerized environments utilizing Docker, Podman, Kubernetes, and OpenShift technologies Integrate platform capabilities into DevSecOps pipelines and CI/CD workflows Implement and maintain security controls in compliance with DoD cybersecurity requirements including STIGs and RMF Monitor system performance, troubleshoot platform issues, and ensure reliability, scalability, and availability Manage storage, file systems, and system resources to optimize system performance Support virtualization and cloud-based environments including VMware, OpenStack, AWS, or similar technologies Collaborate with software development, systems engineering, cybersecurity, and test teams to support system integration and operational readiness Maintain system documentation, architecture diagrams, configuration baselines, and technical procedures Identify technical risks and support continuous improvement and modernization initiatives across platform environments QUALIFICATIONS : Minimum Qualifications Include: Bachelor's degree in Computer Science, Engineering, Information Systems, or related technical discipline preferred Equivalent work experience may be considered in lieu of degree requirements Active Secret Clearance required or ability to obtain and maintain a Secret Clearance Minimum of 5 years of experience supporting Linux systems administration and engineering, preferably within RHEL-based environments Security+ CE certification or ability to obtain certification within 3-6 months of hire Strong experience administering and engineering Red Hat Enterprise Linux (RHEL) environments Experience with scripting and automation using Bash, Python, Ansible, Terraform, or similar tools Experience supporting containerization and orchestration technologies including Docker, Podman, Kubernetes, and OpenShift Familiarity with DevSecOps methodologies and CI/CD pipeline integration Working knowledge of networking concepts, Linux security, and infrastructure operations Experience implementing and maintaining STIG compliance and RMF security controls Strong troubleshooting, analytical, and problem-solving skills Excellent written and verbal communication skills Ability to work effectively within collaborative Government and contractor team environments Preferred Qualifications: Experience supporting Navy, NAVAIR, or DoD programs Red Hat certifications such as RHCSA or RHCE Experience supporting enterprise Kubernetes or OpenShift environments Experience with cloud-based infrastructure and virtualization technologies Familiarity with secure platform modernization initiatives and mission-critical system environments Experience supporting classified or highly regulated environments Specialty Systems, Inc. provides equal employment opportunity (EEO) to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, genetic information, marital status, ancestry, protected veteran status, or any other characteristic protected by applicable federal, state, and local laws and offers equal opportunity for VEVRAA Protected Veterans. Specialty Systems, Inc. will not discriminate against employees and job applicants who inquire about, discuss, or disclose compensation information. Reasonable accommodation that do not cause an undue hardship on the company may be made to enable individuals with disabilities to perform essential functions, as long as that would not hinder or prevent performance of duties or be of a safety concern. PHYSICAL DEMANDS: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of the job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is required to reach with hands and arms. The employee is frequently required to sit, stand and walk. The employee may be required to move ten pounds and could occasionally lift or move up to twenty-five pounds. Disclaimer: The listed duties are not intended to serve as a comprehensive list of all duties performed by all employees in this classification, only a representative summary of primary duties and responsibilities. Compensation details: 00 Yearly Salary PIbe674f94049d-1081
Job Information Job Title D ata Architect Home Department: I nformation Technology Employment Status: Exempt; Full-time Schedule: Flexible Scheduling Opportunities Position Location: Remote/ Hybrid (commutable distance to home office in Fond du Lac, WI) This position offers flexible remote/hybrid work scheduling and we are targeting candidates who are located within the commutable greater Fond du Lac, WI area for infrequent in-person meeting events. Visit us at to learn more. Overview Protecting our policyholders' dreams, passions, and livelihoods has a direct impact on the communities we serve. We work towards excellence, conduct ourselves with high integrity, and take our work seriously, but not ourselves. Small Details. Big Difference. Find out how you can make a difference with a career at Society. Society Insurance is seeking an experienced Data Architect to join our IT team. The Data Architect leads the design and implementation of the enterprise data architecture, translating business and data strategy into scalable, governed, and high-performing data platforms and solutions. The role is accountable for delivering the data architecture vision and enabling execution of the data strategy, including data models, pipelines, platforms, and integration patterns that support analytics, reporting, and operational use cases. The Data Architect partners with business and IT stakeholders to ensure data is trusted, accessible, and aligned to enterprise architecture standards, while driving modernization and continuous improvement of data capabilities. About the Role Translates enterprise data strategy into architecture, platforms, and implementation roadmaps aligned to business and analytics needs. Engages with business and IT stakeholders to gather requirements and define end-to-end data architecture solutions. Defines and governs enterprise data architecture standards, including data models, pipelines, integration patterns, and platform design. Designs and builds scalable data platforms and pipelines (data lakes, warehouses, cloud platforms) to support analytics and reporting. Establishes and enforces data modeling standards (logical, physical, dimensional) across systems and domains. Designs and optimizes data ingestion, transformation, and integration patterns (ETL/ELT) to ensure reliable data movement across systems. Ensures data architecture supports data quality, lineage, metadata, and governance frameworks aligned to enterprise standards. Collaborates with architects and engineers to define architecture enablers, guide solution design, and support implementation. Works with data engineering and Agile teams to ensure architecture is implemented effectively across delivery cycles. Leads evaluation and selection of data technologies, tools, and platforms, including proof-of-concepts (POCs). Develops and maintains data architecture roadmaps, including modernization, consolidation, and performance optimization. Drives modernization of legacy data and reporting platforms to improve scalability, performance, and usability. Ensures alignment between data, application, and infrastructure architecture. Participates in Agile/PI Planning to align teams to a shared technical direction and standards. Acts as a technical expert and leader, mentoring teams and driving adoption of best practices across data architecture and engineering. About Yo u You are analytical and connect data across systems to support business insight and decision-making. You are creative and innovative and identifies better ways to organize, integrate, and govern data. You are driven by an underlying curiosity and desire to know more about things, people, or issues. You take ownership of challenges and drive improvements in architecture, standards, and processes. You quickly apply new knowledge, tools, and ideas to solve business and data challenges. You enjoy managing the efficiency, accuracy, and integrity of the work that you produce. You effectively prioritize work, manage multiple responsibilities, and meet deadlines. What it Will Take Bachelor's degree in computer science, engineering, or related field. 8+ years of experience in data architecture, data engineering, or data platform design. Strong experience designing and implementing data pipelines, data lakes, and data warehouses. Experience with cloud data platforms, (Azure Synapse, Data Factory, Fabric, Databricks, etc.) Deep understanding of data modeling, ETL/ELT patterns, and data integration. Experience implementing data architecture aligned to business and analytics needs. Strong collaboration skills across business, architecture, and engineering teams. Expertise in one or more of the following, but with versatility to grow in other areas: Microsoft stack of Data Tools & Technologies (SQL, SSIS, TSQL) Azure SQL Databases Azure Blob storage Azure App Services Microsoft Azure Synapse, Data Factory & Fabric Microsoft stack of Business Intelligence Tools (Power BI) Data Modeling (Idera ERStudio) Data Warehouse Design Data Analytics Concepts Strong organizational skills. Demonstrated success in managing and/or completing projects. SAFe Agile Delivery experience highly desirable. What Society Can Offer Comprehensive Benefits Package : Salary with bonus plan; health, dental, life, and vision insurance Retirement : Traditional or Roth 401(k) Defined Contribution Plan PLUS Profit-Sharing Plan Work-Life Balance : Company-paid holidays; flexible scheduling; PTO; telecommuting options Education : Career Coaching; company-paid courses; student loan and tuition reimbursement Community : Charitable Match; paid volunteer time; team sponsorships Wellness : Employee Assistance Program; wellness initiatives/rewards; health coaching; and more Society Insurance prohibits discrimination and harassment of any type against applicants and employees on the basis of race, color, religion, sex, national origin, age, handicap, disability, genetics, veteran status or military service, marital status or sexual orientation, gender identity or expression, or any other characteristic or status protected by federal, state or local laws. Society Insurance also provides reasonable accommodations to qualified individuals with disabilities in accordance with the requirements of the Americans with Disabilities Act and applicable state and local laws. PIc5b0b43690ba-1158
08/05/2026
Full time
Job Information Job Title D ata Architect Home Department: I nformation Technology Employment Status: Exempt; Full-time Schedule: Flexible Scheduling Opportunities Position Location: Remote/ Hybrid (commutable distance to home office in Fond du Lac, WI) This position offers flexible remote/hybrid work scheduling and we are targeting candidates who are located within the commutable greater Fond du Lac, WI area for infrequent in-person meeting events. Visit us at to learn more. Overview Protecting our policyholders' dreams, passions, and livelihoods has a direct impact on the communities we serve. We work towards excellence, conduct ourselves with high integrity, and take our work seriously, but not ourselves. Small Details. Big Difference. Find out how you can make a difference with a career at Society. Society Insurance is seeking an experienced Data Architect to join our IT team. The Data Architect leads the design and implementation of the enterprise data architecture, translating business and data strategy into scalable, governed, and high-performing data platforms and solutions. The role is accountable for delivering the data architecture vision and enabling execution of the data strategy, including data models, pipelines, platforms, and integration patterns that support analytics, reporting, and operational use cases. The Data Architect partners with business and IT stakeholders to ensure data is trusted, accessible, and aligned to enterprise architecture standards, while driving modernization and continuous improvement of data capabilities. About the Role Translates enterprise data strategy into architecture, platforms, and implementation roadmaps aligned to business and analytics needs. Engages with business and IT stakeholders to gather requirements and define end-to-end data architecture solutions. Defines and governs enterprise data architecture standards, including data models, pipelines, integration patterns, and platform design. Designs and builds scalable data platforms and pipelines (data lakes, warehouses, cloud platforms) to support analytics and reporting. Establishes and enforces data modeling standards (logical, physical, dimensional) across systems and domains. Designs and optimizes data ingestion, transformation, and integration patterns (ETL/ELT) to ensure reliable data movement across systems. Ensures data architecture supports data quality, lineage, metadata, and governance frameworks aligned to enterprise standards. Collaborates with architects and engineers to define architecture enablers, guide solution design, and support implementation. Works with data engineering and Agile teams to ensure architecture is implemented effectively across delivery cycles. Leads evaluation and selection of data technologies, tools, and platforms, including proof-of-concepts (POCs). Develops and maintains data architecture roadmaps, including modernization, consolidation, and performance optimization. Drives modernization of legacy data and reporting platforms to improve scalability, performance, and usability. Ensures alignment between data, application, and infrastructure architecture. Participates in Agile/PI Planning to align teams to a shared technical direction and standards. Acts as a technical expert and leader, mentoring teams and driving adoption of best practices across data architecture and engineering. About Yo u You are analytical and connect data across systems to support business insight and decision-making. You are creative and innovative and identifies better ways to organize, integrate, and govern data. You are driven by an underlying curiosity and desire to know more about things, people, or issues. You take ownership of challenges and drive improvements in architecture, standards, and processes. You quickly apply new knowledge, tools, and ideas to solve business and data challenges. You enjoy managing the efficiency, accuracy, and integrity of the work that you produce. You effectively prioritize work, manage multiple responsibilities, and meet deadlines. What it Will Take Bachelor's degree in computer science, engineering, or related field. 8+ years of experience in data architecture, data engineering, or data platform design. Strong experience designing and implementing data pipelines, data lakes, and data warehouses. Experience with cloud data platforms, (Azure Synapse, Data Factory, Fabric, Databricks, etc.) Deep understanding of data modeling, ETL/ELT patterns, and data integration. Experience implementing data architecture aligned to business and analytics needs. Strong collaboration skills across business, architecture, and engineering teams. Expertise in one or more of the following, but with versatility to grow in other areas: Microsoft stack of Data Tools & Technologies (SQL, SSIS, TSQL) Azure SQL Databases Azure Blob storage Azure App Services Microsoft Azure Synapse, Data Factory & Fabric Microsoft stack of Business Intelligence Tools (Power BI) Data Modeling (Idera ERStudio) Data Warehouse Design Data Analytics Concepts Strong organizational skills. Demonstrated success in managing and/or completing projects. SAFe Agile Delivery experience highly desirable. What Society Can Offer Comprehensive Benefits Package : Salary with bonus plan; health, dental, life, and vision insurance Retirement : Traditional or Roth 401(k) Defined Contribution Plan PLUS Profit-Sharing Plan Work-Life Balance : Company-paid holidays; flexible scheduling; PTO; telecommuting options Education : Career Coaching; company-paid courses; student loan and tuition reimbursement Community : Charitable Match; paid volunteer time; team sponsorships Wellness : Employee Assistance Program; wellness initiatives/rewards; health coaching; and more Society Insurance prohibits discrimination and harassment of any type against applicants and employees on the basis of race, color, religion, sex, national origin, age, handicap, disability, genetics, veteran status or military service, marital status or sexual orientation, gender identity or expression, or any other characteristic or status protected by federal, state or local laws. Society Insurance also provides reasonable accommodations to qualified individuals with disabilities in accordance with the requirements of the Americans with Disabilities Act and applicable state and local laws. PIc5b0b43690ba-1158
Job Description Job Description This role requires you to be in our San Francisco office (Atherton near Palo Alto). The Role You'll deliver our AI platform the world's leading semiconductor and consumer electronics companies, and collaborate with them to develop new features. (This is not an exaggeration.) About Voltai Voltai is developing models and agents to evaluate, design, and interact with hardware and electronic systems. The Team We're hackers, researchers, and operators obsessed with building AI for electronic systems and semiconductors. Our team includes former Stanford professors, SAIL researchers, Olympiad medalists, and executives from Synopsys, GlobalFoundries, and Cadence. Despite the name drops, we care far more about execution than titles. We're backed by Stanford, Sequoia, and leadership at Google, AMD, Broadcom and more. In other words, we have deep, deep access to the industry. What You'll Do Own customer deployments at offices across the SF Bay Area, Cupertino, and Santa Clara. Develop features specific to customer workflows and port features from our cloud product to on-prem environments inside some of the most locked-down infrastructure on the planet. Manage cloud deployments across AWS, Azure, GCP, and OpenShift: standing them up, keeping them healthy, debugging them when they're not. Learn about hardware design. Previous experience is not expected, but you should be eager to familiarize yourself with how hardware is developed at a high-level. What We're Seeking For We care about how you think, not how you keyword-match 5+ years in backend engineering, full-stack development, or infrastructure/DevOps: internships and teaching assistantships don't count Familiarity with agent development and RAG Strong systems design and debugging instincts Comfortable with the Docker ecosystem, cloud infrastructure (AWS, Azure, GCP), and IaC tools Willingness to travel, mostly in California Bonus Points For On-prem deployment experience in enterprise or air-gapped environments Prior field engineering, solutions engineering, or customer-facing technical roles Experience in EDA, semiconductor, or hardware-adjacent software environments Our AI Bullshit Meter We are very good at catching people who use AI to exaggerate their abilities whether on paper or during interviews. Please don't waste our time. -
08/05/2026
Full time
Job Description Job Description This role requires you to be in our San Francisco office (Atherton near Palo Alto). The Role You'll deliver our AI platform the world's leading semiconductor and consumer electronics companies, and collaborate with them to develop new features. (This is not an exaggeration.) About Voltai Voltai is developing models and agents to evaluate, design, and interact with hardware and electronic systems. The Team We're hackers, researchers, and operators obsessed with building AI for electronic systems and semiconductors. Our team includes former Stanford professors, SAIL researchers, Olympiad medalists, and executives from Synopsys, GlobalFoundries, and Cadence. Despite the name drops, we care far more about execution than titles. We're backed by Stanford, Sequoia, and leadership at Google, AMD, Broadcom and more. In other words, we have deep, deep access to the industry. What You'll Do Own customer deployments at offices across the SF Bay Area, Cupertino, and Santa Clara. Develop features specific to customer workflows and port features from our cloud product to on-prem environments inside some of the most locked-down infrastructure on the planet. Manage cloud deployments across AWS, Azure, GCP, and OpenShift: standing them up, keeping them healthy, debugging them when they're not. Learn about hardware design. Previous experience is not expected, but you should be eager to familiarize yourself with how hardware is developed at a high-level. What We're Seeking For We care about how you think, not how you keyword-match 5+ years in backend engineering, full-stack development, or infrastructure/DevOps: internships and teaching assistantships don't count Familiarity with agent development and RAG Strong systems design and debugging instincts Comfortable with the Docker ecosystem, cloud infrastructure (AWS, Azure, GCP), and IaC tools Willingness to travel, mostly in California Bonus Points For On-prem deployment experience in enterprise or air-gapped environments Prior field engineering, solutions engineering, or customer-facing technical roles Experience in EDA, semiconductor, or hardware-adjacent software environments Our AI Bullshit Meter We are very good at catching people who use AI to exaggerate their abilities whether on paper or during interviews. Please don't waste our time. -
Amazon Web Services (AWS) is looking for a Network Technician to join our growing team within infrastructure operations. You will work in a dynamic environment to drive the stability and sustainability of our next-generation networks and assist in the development of innovative ways to automate and scale our network. The position's responsibilities include capacity scaling support of several data center locations and day to day assistance with capacity management. You will work closely with internal customers and external vendors to facilitate smooth project execution as directed by Network Scaling Leadership and Technical Program Managers. You will leverage your experience supporting large scale, enterprise class networks as well as network implementation and troubleshooting. As a NW Deployment Build Lead I you will work in a fast paced, collaborative environment with regular peer and customer interaction. In addition to providing management and support of Amazon Web Services vast network infrastructure, Network Technicians establish and follow best practices and refine operational procedures. 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 Build out first level router-aggregates, build the console network for new rooms, and support network scaling projects Any physical requirements are expectations with reasonable accommodations Manage work and priorities through ticketing system and workflows to complete customer requests and projects Collaboration with various stake holders to remove project obstacles Troubleshoot networking, routing and inter connectivity issues, including troubleshooting of network device configuration and low level application interaction Up to 60% travel within geographical work area is required. Some travel outside traditional work area may be requested, including internationally Troubleshooting cabling infrastructure connectivity issues, including patch panels and patch cords. Specifying Power and Cooling requirements and ensuring Hardware Racking/Stacking completed for new equipment Participate in the migration, basic configuration and rollout of new or upgraded hardware Moving and lifting computer equipment up to 50 lbs A day in the life Our team has three primary tasks: 1. Providing the first level networking devices to serve our customer racks entails various tasks (the name of the game is efficiency): You will track network rack intake and delivery; work with various onsite teams to request for rack space, power, and cooling for network racks. And then partner with network engineers to ensure all configurations are ready. You'll also be working on link and device troubleshooting within a certain Service-Level Agreement 2. There is also console builds (and room builds) that are really exciting. You'll be exposed to more teams whose goal is to provide more space and capacity for customer racks. 3. Work with ID-Scaling peers to build higher-level networking devices. About the team Our Philadelphia Region is expanding into an ML Cluster, and we are very excited to expand our team with dedicated Infrastructure Deployment Technicians to help our scaling our network and server capacity. This team covers the whole Pennsylvania region with all the sites inside and outside the perimeter. There is travel involved as we move where the capacity is needed. 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. 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. 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. 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. We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 1+ years of computer networking experience - 1+ years of Linux operating systems experience - Bachelor's degree in Information Technology, Computer Science, or a related field - Experience in computer networking - Experience working with Linux operating systems - Can lift and rack equipment up to 40 pounds - Experience with computer hardware troubleshooting and repair PREFERRED QUALIFICATIONS - Can work in cramped spaces or in elevated locations while adhering to health & safety guidelines - Experience dealing effectively with customers during problem resolution and operating efficiently under pressure - Experience managing work and priorities through a ticketing system - Experience with cabling infrastructure best practices and methodologies - Experience working in a data center environment (racking and stacking gear, cable management, hot/cold aisle containment) 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, PA, Berwick - 30.00 - 54.00 USD hourly
08/05/2026
Full time
Amazon Web Services (AWS) is looking for a Network Technician to join our growing team within infrastructure operations. You will work in a dynamic environment to drive the stability and sustainability of our next-generation networks and assist in the development of innovative ways to automate and scale our network. The position's responsibilities include capacity scaling support of several data center locations and day to day assistance with capacity management. You will work closely with internal customers and external vendors to facilitate smooth project execution as directed by Network Scaling Leadership and Technical Program Managers. You will leverage your experience supporting large scale, enterprise class networks as well as network implementation and troubleshooting. As a NW Deployment Build Lead I you will work in a fast paced, collaborative environment with regular peer and customer interaction. In addition to providing management and support of Amazon Web Services vast network infrastructure, Network Technicians establish and follow best practices and refine operational procedures. 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 Build out first level router-aggregates, build the console network for new rooms, and support network scaling projects Any physical requirements are expectations with reasonable accommodations Manage work and priorities through ticketing system and workflows to complete customer requests and projects Collaboration with various stake holders to remove project obstacles Troubleshoot networking, routing and inter connectivity issues, including troubleshooting of network device configuration and low level application interaction Up to 60% travel within geographical work area is required. Some travel outside traditional work area may be requested, including internationally Troubleshooting cabling infrastructure connectivity issues, including patch panels and patch cords. Specifying Power and Cooling requirements and ensuring Hardware Racking/Stacking completed for new equipment Participate in the migration, basic configuration and rollout of new or upgraded hardware Moving and lifting computer equipment up to 50 lbs A day in the life Our team has three primary tasks: 1. Providing the first level networking devices to serve our customer racks entails various tasks (the name of the game is efficiency): You will track network rack intake and delivery; work with various onsite teams to request for rack space, power, and cooling for network racks. And then partner with network engineers to ensure all configurations are ready. You'll also be working on link and device troubleshooting within a certain Service-Level Agreement 2. There is also console builds (and room builds) that are really exciting. You'll be exposed to more teams whose goal is to provide more space and capacity for customer racks. 3. Work with ID-Scaling peers to build higher-level networking devices. About the team Our Philadelphia Region is expanding into an ML Cluster, and we are very excited to expand our team with dedicated Infrastructure Deployment Technicians to help our scaling our network and server capacity. This team covers the whole Pennsylvania region with all the sites inside and outside the perimeter. There is travel involved as we move where the capacity is needed. 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. 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. 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. 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. We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 1+ years of computer networking experience - 1+ years of Linux operating systems experience - Bachelor's degree in Information Technology, Computer Science, or a related field - Experience in computer networking - Experience working with Linux operating systems - Can lift and rack equipment up to 40 pounds - Experience with computer hardware troubleshooting and repair PREFERRED QUALIFICATIONS - Can work in cramped spaces or in elevated locations while adhering to health & safety guidelines - Experience dealing effectively with customers during problem resolution and operating efficiently under pressure - Experience managing work and priorities through a ticketing system - Experience with cabling infrastructure best practices and methodologies - Experience working in a data center environment (racking and stacking gear, cable management, hot/cold aisle containment) 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, PA, Berwick - 30.00 - 54.00 USD hourly
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. Our team is growing and we are looking to hire a motivated Network Deployment Project Lead to join our growing Infrastructure Delivery team. The role encompasses end-to-end ownership of medium to large-scale Data Center cabling deployments including migrations, new sites, and new regions. This role includes: • Initial cabling planning, installation, validation, and quality assessment. • Engaging external contractors including newly onboarded cabling vendors. • Planning and working with a wide range of project stakeholders to determine device and cabling requirements, scheduling resources to meet project timelines, engage external vendors, and continuous status reporting. • Installation of, racking and stacking networking devices, running and patching fiber cabling, and configuring devices using automation tools and the command line interface. • Validation, device troubleshooting and stress testing prior to capacity delivery. Our ideal candidate is someone who enjoys working autonomously, is detail oriented, possesses strong written and verbal communication skills as well as being competent in all aspects of installation and troubleshooting of networking hardware, software and fiber connectivity. This position requires that you will work with minimum supervision to assist in the development of innovative ways to automate and scale our data center deployments as we expand. About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why 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 Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 1+ years of computer networking experience - 1+ years of Linux operating systems experience - Bachelor's degree in Information Technology, Computer Science, or a related field - Experience in computer networking - Experience working with Linux operating systems - Can lift and rack equipment up to 40 pounds - Experience with computer hardware troubleshooting and repair PREFERRED QUALIFICATIONS - Can work in cramped spaces or in elevated locations while adhering to health & safety guidelines - Experience dealing effectively with customers during problem resolution and operating efficiently under pressure - Experience managing work and priorities through a ticketing system - Experience with cabling infrastructure best practices and methodologies - Experience working in a data center environment (racking and stacking gear, cable management, hot/cold aisle containment) 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, PA, Berwick - 30.00 - 54.00 USD hourly
08/05/2026
Full time
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. Our team is growing and we are looking to hire a motivated Network Deployment Project Lead to join our growing Infrastructure Delivery team. The role encompasses end-to-end ownership of medium to large-scale Data Center cabling deployments including migrations, new sites, and new regions. This role includes: • Initial cabling planning, installation, validation, and quality assessment. • Engaging external contractors including newly onboarded cabling vendors. • Planning and working with a wide range of project stakeholders to determine device and cabling requirements, scheduling resources to meet project timelines, engage external vendors, and continuous status reporting. • Installation of, racking and stacking networking devices, running and patching fiber cabling, and configuring devices using automation tools and the command line interface. • Validation, device troubleshooting and stress testing prior to capacity delivery. Our ideal candidate is someone who enjoys working autonomously, is detail oriented, possesses strong written and verbal communication skills as well as being competent in all aspects of installation and troubleshooting of networking hardware, software and fiber connectivity. This position requires that you will work with minimum supervision to assist in the development of innovative ways to automate and scale our data center deployments as we expand. About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why 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 Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 1+ years of computer networking experience - 1+ years of Linux operating systems experience - Bachelor's degree in Information Technology, Computer Science, or a related field - Experience in computer networking - Experience working with Linux operating systems - Can lift and rack equipment up to 40 pounds - Experience with computer hardware troubleshooting and repair PREFERRED QUALIFICATIONS - Can work in cramped spaces or in elevated locations while adhering to health & safety guidelines - Experience dealing effectively with customers during problem resolution and operating efficiently under pressure - Experience managing work and priorities through a ticketing system - Experience with cabling infrastructure best practices and methodologies - Experience working in a data center environment (racking and stacking gear, cable management, hot/cold aisle containment) 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, PA, Berwick - 30.00 - 54.00 USD hourly
Transform network infrastructure by joining our dynamic team! You'll be at the forefront of developing innovative solutions that drive network stability and scalability, using your technical expertise to create automated systems that power global technological advancement. Network Install Technicians will collaborate with cross-functional teams, troubleshoot complex technical scenarios, and implement strategic solutions that keep our network running seamlessly. Expect to engage in hands-on technical work that requires creativity, precision, and a passion for technological innovation. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. NOTE: PDX is an AWS GovCloud region. As required by our contracts with the federal government, effective February 24, 2026, logical access to the AWS GovCloud region will be restricted to Amazon employees who are U.S. Citizens. (GovCloud may NOT be accessed from outside of the United States). NOTE: Lump sum stipend will be provided to eligible candidates who relocate for this position. Key job responsibilities Moving and implementing large enterprise equipment Installing Fiber and Copper cabling and patching cabling between equipment Ensuring proper safety and security standards are maintained during cabling and rack installation, Following well established hardware installation procedures and break-fix activities Safely using material handling tools and equipment Traveling within and outside of the regional work area is required. You will be responsible for having a reliable personal vehicle and valid driver's license to travel within the regional work area, as company transportation will not be provided Physical Requirements: Regularly lift and/or move up to 40 pounds; and participate in group lifts for 41+ pounds Ability to work in an environment that operates 24/7 with an ability to participate in primary responder rotation and provide after-hours support as needed Working in cramped and/or elevated and/or noisy environments Bending, lifting, stretching, reaching, standing and walking for up to 8+ hours a day Ascending and descending ladders, stairs, and gangways safely and without limitation This role supports data centers in various operational stages. The position may be assigned to a facility still under development, which could require travel to established locations for training until your designated site becomes fully operational. Essential Requirements: Ability to travel to or commute between data center locations as needed Willingness to temporarily work at alternative sites during training periods or until assigned facility is operational Travel frequency will vary based on business needs and operational status of assigned facility Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs. About the team Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 1+ years of computer networking experience - 1+ years of Linux operating systems experience - Bachelor's degree in Information Technology, Computer Science, or a related field - Experience in computer networking - Experience working with Linux operating systems - Can lift and rack equipment up to 40 pounds - Experience with computer hardware troubleshooting and repair PREFERRED QUALIFICATIONS - Can work in cramped spaces or in elevated locations while adhering to health & safety guidelines - Experience dealing effectively with customers during problem resolution and operating efficiently under pressure - Experience managing work and priorities through a ticketing system - Experience with cabling infrastructure best practices and methodologies - Experience working in a data center environment (racking and stacking gear, cable management, hot/cold aisle containment) 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, OR, Hermiston - 30.00 - 54.00 USD hourly
08/05/2026
Full time
Transform network infrastructure by joining our dynamic team! You'll be at the forefront of developing innovative solutions that drive network stability and scalability, using your technical expertise to create automated systems that power global technological advancement. Network Install Technicians will collaborate with cross-functional teams, troubleshoot complex technical scenarios, and implement strategic solutions that keep our network running seamlessly. Expect to engage in hands-on technical work that requires creativity, precision, and a passion for technological innovation. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. NOTE: PDX is an AWS GovCloud region. As required by our contracts with the federal government, effective February 24, 2026, logical access to the AWS GovCloud region will be restricted to Amazon employees who are U.S. Citizens. (GovCloud may NOT be accessed from outside of the United States). NOTE: Lump sum stipend will be provided to eligible candidates who relocate for this position. Key job responsibilities Moving and implementing large enterprise equipment Installing Fiber and Copper cabling and patching cabling between equipment Ensuring proper safety and security standards are maintained during cabling and rack installation, Following well established hardware installation procedures and break-fix activities Safely using material handling tools and equipment Traveling within and outside of the regional work area is required. You will be responsible for having a reliable personal vehicle and valid driver's license to travel within the regional work area, as company transportation will not be provided Physical Requirements: Regularly lift and/or move up to 40 pounds; and participate in group lifts for 41+ pounds Ability to work in an environment that operates 24/7 with an ability to participate in primary responder rotation and provide after-hours support as needed Working in cramped and/or elevated and/or noisy environments Bending, lifting, stretching, reaching, standing and walking for up to 8+ hours a day Ascending and descending ladders, stairs, and gangways safely and without limitation This role supports data centers in various operational stages. The position may be assigned to a facility still under development, which could require travel to established locations for training until your designated site becomes fully operational. Essential Requirements: Ability to travel to or commute between data center locations as needed Willingness to temporarily work at alternative sites during training periods or until assigned facility is operational Travel frequency will vary based on business needs and operational status of assigned facility Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs. About the team Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 1+ years of computer networking experience - 1+ years of Linux operating systems experience - Bachelor's degree in Information Technology, Computer Science, or a related field - Experience in computer networking - Experience working with Linux operating systems - Can lift and rack equipment up to 40 pounds - Experience with computer hardware troubleshooting and repair PREFERRED QUALIFICATIONS - Can work in cramped spaces or in elevated locations while adhering to health & safety guidelines - Experience dealing effectively with customers during problem resolution and operating efficiently under pressure - Experience managing work and priorities through a ticketing system - Experience with cabling infrastructure best practices and methodologies - Experience working in a data center environment (racking and stacking gear, cable management, hot/cold aisle containment) 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, OR, Hermiston - 30.00 - 54.00 USD hourly
Job Description Job Description: About Zipline Zipline is the world's largest and most experienced drone delivery service. We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build, and operate the world's largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products. Our customers include the world's largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. The drone is only 15% of what we've built to enable seamless, reliable, global operations. Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe. We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people's lives and by scaling the future of logistics. We are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds.About You and The Role Zipline is seeking a Senior RF Desense Engineer to lead the architecture, analysis, mitigation, validation, and long-term improvement of RF desense performance across our autonomous aircraft and ground infrastructure. You will own receiver desense engineering from early system architecture through hardware integration, validation, manufacturing, certification, and field deployment. You will work across wireless platforms supporting 4G LTE, 5G NR, GNSS, Wi-Fi, ADS-B, UAT, Bluetooth, ISM radios, emerging Vehicle-to-Vehicle (V2V) communications, and future air-to-ground communication systems, ensuring receivers maintain robust performance despite increasingly dense RF and electronic environments. This role also owns the end-to-end electromagnetic shielding architecture across Zipline's wireless platforms. You will define shielding strategies spanning RF integrated circuits, front-end modules, connectors, cable harnesses, line-replaceable units (LRUs), subsystem enclosures, and complete products to control both internally generated and externally coupled interference. Working closely with electrical, mechanical, antenna, manufacturing, reliability, and systems teams, you will develop scalable shielding solutions that enable simultaneous operation of multiple high-power transmitters and high-sensitivity receivers-including precision GNSS systems-while meeting aggressive performance, reliability, manufacturability, weight, cost, and product lifetime requirements. While the primary focus of this role is receiver desense, you will also support broader RF coexistence efforts by contributing to system-level interference analysis, radio scheduling strategies, and multi-radio integration. You will collaborate closely with antenna, RF front-end, electrical, embedded software, systems, mechanical, flight test, manufacturing, reliability, certification, and cloud engineering teams to ensure Zipline's wireless systems perform reliably under real-world operating conditions.What You'll DoOwn RF desense architecture, analysis, mitigation, validation, and production support across Zipline aircraft, docks, droids, Zipping Points, and future autonomous logistics platforms.Develop receiver desense budgets and performance requirements for next-generation wireless platforms.Identify and mitigate receiver sensitivity degradation caused by onboard transmitters, switching power supplies, processors, high-speed digital interfaces, displays, motors, power electronics, and other electronic subsystems.Analyze conducted and radiated interference mechanisms including broadband noise coupling, harmonics, spurious emissions, blocking, intermodulation, passive intermodulation, and electromagnetic compatibility.Characterize RF coupling paths through PCBs, cables, antennas, enclosures, mechanical structures, power systems, and wiring harnesses.Develop practical mitigation strategies including shielding, filtering, grounding, PCB layout optimization, clock management, power supply noise reduction, frequency planning, and antenna isolation improvements.Define RF design guidelines that minimize desense risks early in product development.Define Zipline's end-to-end electromagnetic shielding architecture spanning RF ICs, front-end modules, PCB assemblies, connectors, cable harnesses, LRUs, subsystem enclosures, and complete products.Develop shielding strategies that minimize self-generated and externally coupled RF interference while balancing size, weight, thermal performance, manufacturability, serviceability, reliability, and cost.Specify shielding requirements for RF circuits, mixed-signal electronics, switching power supplies, processors, high-speed digital interfaces, motors, and power electronics to prevent receiver degradation.Design connector and cable interconnect shielding architectures including shield termination, grounding topology, common-mode current control, cable routing, connector selection, and bonding methods to minimize conducted and radiated emissions.Develop subsystem-level shielding strategies defining enclosure construction, gasket selection, aperture control, seam treatment, venting approaches, conductive coatings, and grounding interfaces to achieve predictable electromagnetic isolation.Lead product-level shielding architecture to ensure emissions from all subsystems remain below receiver susceptibility thresholds while supporting simultaneous operation of multiple transmitters and sensitive receivers.Develop shielding methodologies that enable reliable integration of LTE, 5G, GNSS, Wi-Fi, Bluetooth, ADS-B, UAT, ISM radios, telemetry, command-and-control, V2V communications, and future wireless technologies operating concurrently.Drive shielding design decisions through simulation, laboratory characterization, near-field scanning, EMI/EMC testing, environmental testing, flight testing, and structured root-cause analysis.Establish shielding design standards, verification methodologies, acceptance criteria, production inspection processes, and long-term design guidelines across Zipline's hardware platforms.Partner with mechanical engineering to design lightweight, manufacturable shielding solutions that maintain performance over the full environmental and operational life of the product.Define shielding strategies that protect high-precision GNSS receivers from onboard interference sources, enabling robust positioning performance under simultaneous multi-radio operation and dynamic flight conditions.Perform RF system analysis including receiver sensitivity, cascaded noise figure, blocking performance, dynamic range, interference budgeting, and system margin analysis.Collaborate closely with RF front-end and antenna engineers to optimize signal chains, antenna placement, installed performance, and isolation.Support PCB layout reviews, grounding strategies, shielding implementation, stack-up definition, and design-for-manufacturing activities.Develop laboratory validation methods using spectrum analyzers, vector network analyzers, vector signal analyzers, signal generators, near-field probes, OTA chambers, EMI receivers, and conducted RF measurements.Plan and execute RF desense characterization, conducted and over-the-air testing, environmental qualification, production verification, and flight testing.Investigate RF performance issues using laboratory measurements, simulation, production data, and structured root-cause analysis.Support RF coexistence activities including multi-radio interference analysis, wireless integration, radio scheduling strategies, and system-level performance optimization.Support regulatory and carrier certification activities including FCC, CE, ISED, PTCRB, GCF, carrier acceptance, aviation certifications, and international wireless and EMC certifications.Work closely with suppliers and manufacturing partners to establish RF acceptance criteria, production test methods, calibration procedures, shielding validation processes, and quality controls.Mentor engineers and help establish RF desense methodologies, shielding architectures, debugging processes, validation standards, and long-term RF performance roadmaps.What You'll BringBachelor's degree in Electrical Engineering or a related technical field.Typically 7 or more years of professional experience developing RF hardware or wireless communication systems for production products.Strong understanding of RF receiver architecture, cascaded receiver performance, sensitivity, noise figure, blocking, dynamic range, selectivity, and receiver optimization.Demonstrated experience investigating and resolving RF desense issues within complex wireless systems.Demonstrated experience developing shielding architectures from RF circuit level through complete products, including PCB shielding, connector shielding, cable shielding, enclosure design, subsystem isolation, LRU-level shielding, and product-level electromagnetic containment.Strong understanding of electromagnetic coupling mechanisms including conducted emissions, radiated emissions, harmonics, intermodulation, passive intermodulation, broadband digital noise, common-mode currents, grounding topology, shielding effectiveness, enclosure resonance, and practical mitigation techniques . click apply for full job details
08/05/2026
Full time
Job Description Job Description: About Zipline Zipline is the world's largest and most experienced drone delivery service. We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build, and operate the world's largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products. Our customers include the world's largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. The drone is only 15% of what we've built to enable seamless, reliable, global operations. Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe. We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people's lives and by scaling the future of logistics. We are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds.About You and The Role Zipline is seeking a Senior RF Desense Engineer to lead the architecture, analysis, mitigation, validation, and long-term improvement of RF desense performance across our autonomous aircraft and ground infrastructure. You will own receiver desense engineering from early system architecture through hardware integration, validation, manufacturing, certification, and field deployment. You will work across wireless platforms supporting 4G LTE, 5G NR, GNSS, Wi-Fi, ADS-B, UAT, Bluetooth, ISM radios, emerging Vehicle-to-Vehicle (V2V) communications, and future air-to-ground communication systems, ensuring receivers maintain robust performance despite increasingly dense RF and electronic environments. This role also owns the end-to-end electromagnetic shielding architecture across Zipline's wireless platforms. You will define shielding strategies spanning RF integrated circuits, front-end modules, connectors, cable harnesses, line-replaceable units (LRUs), subsystem enclosures, and complete products to control both internally generated and externally coupled interference. Working closely with electrical, mechanical, antenna, manufacturing, reliability, and systems teams, you will develop scalable shielding solutions that enable simultaneous operation of multiple high-power transmitters and high-sensitivity receivers-including precision GNSS systems-while meeting aggressive performance, reliability, manufacturability, weight, cost, and product lifetime requirements. While the primary focus of this role is receiver desense, you will also support broader RF coexistence efforts by contributing to system-level interference analysis, radio scheduling strategies, and multi-radio integration. You will collaborate closely with antenna, RF front-end, electrical, embedded software, systems, mechanical, flight test, manufacturing, reliability, certification, and cloud engineering teams to ensure Zipline's wireless systems perform reliably under real-world operating conditions.What You'll DoOwn RF desense architecture, analysis, mitigation, validation, and production support across Zipline aircraft, docks, droids, Zipping Points, and future autonomous logistics platforms.Develop receiver desense budgets and performance requirements for next-generation wireless platforms.Identify and mitigate receiver sensitivity degradation caused by onboard transmitters, switching power supplies, processors, high-speed digital interfaces, displays, motors, power electronics, and other electronic subsystems.Analyze conducted and radiated interference mechanisms including broadband noise coupling, harmonics, spurious emissions, blocking, intermodulation, passive intermodulation, and electromagnetic compatibility.Characterize RF coupling paths through PCBs, cables, antennas, enclosures, mechanical structures, power systems, and wiring harnesses.Develop practical mitigation strategies including shielding, filtering, grounding, PCB layout optimization, clock management, power supply noise reduction, frequency planning, and antenna isolation improvements.Define RF design guidelines that minimize desense risks early in product development.Define Zipline's end-to-end electromagnetic shielding architecture spanning RF ICs, front-end modules, PCB assemblies, connectors, cable harnesses, LRUs, subsystem enclosures, and complete products.Develop shielding strategies that minimize self-generated and externally coupled RF interference while balancing size, weight, thermal performance, manufacturability, serviceability, reliability, and cost.Specify shielding requirements for RF circuits, mixed-signal electronics, switching power supplies, processors, high-speed digital interfaces, motors, and power electronics to prevent receiver degradation.Design connector and cable interconnect shielding architectures including shield termination, grounding topology, common-mode current control, cable routing, connector selection, and bonding methods to minimize conducted and radiated emissions.Develop subsystem-level shielding strategies defining enclosure construction, gasket selection, aperture control, seam treatment, venting approaches, conductive coatings, and grounding interfaces to achieve predictable electromagnetic isolation.Lead product-level shielding architecture to ensure emissions from all subsystems remain below receiver susceptibility thresholds while supporting simultaneous operation of multiple transmitters and sensitive receivers.Develop shielding methodologies that enable reliable integration of LTE, 5G, GNSS, Wi-Fi, Bluetooth, ADS-B, UAT, ISM radios, telemetry, command-and-control, V2V communications, and future wireless technologies operating concurrently.Drive shielding design decisions through simulation, laboratory characterization, near-field scanning, EMI/EMC testing, environmental testing, flight testing, and structured root-cause analysis.Establish shielding design standards, verification methodologies, acceptance criteria, production inspection processes, and long-term design guidelines across Zipline's hardware platforms.Partner with mechanical engineering to design lightweight, manufacturable shielding solutions that maintain performance over the full environmental and operational life of the product.Define shielding strategies that protect high-precision GNSS receivers from onboard interference sources, enabling robust positioning performance under simultaneous multi-radio operation and dynamic flight conditions.Perform RF system analysis including receiver sensitivity, cascaded noise figure, blocking performance, dynamic range, interference budgeting, and system margin analysis.Collaborate closely with RF front-end and antenna engineers to optimize signal chains, antenna placement, installed performance, and isolation.Support PCB layout reviews, grounding strategies, shielding implementation, stack-up definition, and design-for-manufacturing activities.Develop laboratory validation methods using spectrum analyzers, vector network analyzers, vector signal analyzers, signal generators, near-field probes, OTA chambers, EMI receivers, and conducted RF measurements.Plan and execute RF desense characterization, conducted and over-the-air testing, environmental qualification, production verification, and flight testing.Investigate RF performance issues using laboratory measurements, simulation, production data, and structured root-cause analysis.Support RF coexistence activities including multi-radio interference analysis, wireless integration, radio scheduling strategies, and system-level performance optimization.Support regulatory and carrier certification activities including FCC, CE, ISED, PTCRB, GCF, carrier acceptance, aviation certifications, and international wireless and EMC certifications.Work closely with suppliers and manufacturing partners to establish RF acceptance criteria, production test methods, calibration procedures, shielding validation processes, and quality controls.Mentor engineers and help establish RF desense methodologies, shielding architectures, debugging processes, validation standards, and long-term RF performance roadmaps.What You'll BringBachelor's degree in Electrical Engineering or a related technical field.Typically 7 or more years of professional experience developing RF hardware or wireless communication systems for production products.Strong understanding of RF receiver architecture, cascaded receiver performance, sensitivity, noise figure, blocking, dynamic range, selectivity, and receiver optimization.Demonstrated experience investigating and resolving RF desense issues within complex wireless systems.Demonstrated experience developing shielding architectures from RF circuit level through complete products, including PCB shielding, connector shielding, cable shielding, enclosure design, subsystem isolation, LRU-level shielding, and product-level electromagnetic containment.Strong understanding of electromagnetic coupling mechanisms including conducted emissions, radiated emissions, harmonics, intermodulation, passive intermodulation, broadband digital noise, common-mode currents, grounding topology, shielding effectiveness, enclosure resonance, and practical mitigation techniques . click apply for full job details
Job Description Job Description Orchard Robotics is a Series A startup backed by top VCs like Quiet Capital, Shine Capital, and General Catalyst. We're securing America's food supply by building the AI farmer that automates our nation's farms. We've raised over $25M in pursuit of our mission to help farmers farm more profitably and sustainably than ever before. What We Do: We start by building AI-powered camera systems that collect the most valuable data for farmers, telling them everything about what is growing on their millions of trees, vines, and plants, across thousands of acres of farmland. Our state-of-the-art AI analyzes every one of the billions of fruit across a farm. We provide accurate yield estimates, fruit counts, size projections, disease detection, inventories, bloom maps, and more! All this data lives in our cloud platform, FruitScope OS, that we've developed from the ground up to enable farmers to manage their crop with precision. Today, our technology is trusted by some of the largest farms in the nation. We are growing fast, and have the industry-leading product. Farmers use our software every day to make critical decisions and run more efficient, profitable operations. The Role: In order to analyze billions of fruit on farms all year long, our advanced, tractor-mounted camera systems have to know a.) precisely where they are, and b.) everything about the fruit they are seeing. We are looking for a Machine Learning Engineer to build creative, practical, and robust solutions to ML/CV software and infrastructure problems , relating to training edge ML models on massive amounts of real-world farm image data collected by our camera systems. About the role: Full-time, in-person role at our San Francisco or Seattle office. As an early engineer, you'll receive generous equity compensation Comprehensive Health, Vision, and Dental coverage, and we cover 100% of the premium We move fast, and sometimes this means staying late or working weekends Our team is close-knit & highly driven, you'll work directly with our CEO and entire team We're deeply motivated by the impact we're making - every line of code written or new system built means less food that goes to waste, and more people who are fed. What you'll do: Build and maintain scalable ETL pipelines for processing large, diverse image datasets collected from our tractor-mounted camera systems in farms. Develop and deploy infrastructure for model training, evaluation, and inference, both in the cloud and on edge devices. Design and implement intelligent active sampling infrastructure to optimize data collection and improve model performance. Stay up-to-date with current literature in computer vision models and architectures, and apply relevant advancements to our systems. Collaborate with a multidisciplinary team to integrate ML solutions into production robotics systems. Work closely with agronomists and farmers to understand crop biology and translate domain knowledge into actionable ML features. Be a generalist, supporting different parts of our software stack as needed. What makes you a good fit: 2+ years of real-world, industry experience building production-grade data pipelines and ML infrastructure. Proficiency in Python and experience with ML frameworks (e.g., PyTorch). Strong experience with data engineering tools (e.g., Pandas, SQL, MLFlow, WandB). Familiarity with cloud platforms (AWS, GCP) and containerization (Docker, Kubernetes). Experience working with massive amounts of real-world training data. Familiarity with MLops software and data engineering to ensure consistent deployment of ML models. Ability to work independently, learn quickly, and operate in a dynamic environment Enthusiasm for taking on multiple roles and responsibilities as our company grows. Bonus Points: Experience deploying & optimizing ML models to run fast on embedded compute like NVIDIA Jetson Experience prototyping, evaluating, or deploying new ML/CV models on the edge. If you're looking to help make a positive impact in the world by building the future of farming, come join us! Compensation Range: $135K - $210K
08/05/2026
Full time
Job Description Job Description Orchard Robotics is a Series A startup backed by top VCs like Quiet Capital, Shine Capital, and General Catalyst. We're securing America's food supply by building the AI farmer that automates our nation's farms. We've raised over $25M in pursuit of our mission to help farmers farm more profitably and sustainably than ever before. What We Do: We start by building AI-powered camera systems that collect the most valuable data for farmers, telling them everything about what is growing on their millions of trees, vines, and plants, across thousands of acres of farmland. Our state-of-the-art AI analyzes every one of the billions of fruit across a farm. We provide accurate yield estimates, fruit counts, size projections, disease detection, inventories, bloom maps, and more! All this data lives in our cloud platform, FruitScope OS, that we've developed from the ground up to enable farmers to manage their crop with precision. Today, our technology is trusted by some of the largest farms in the nation. We are growing fast, and have the industry-leading product. Farmers use our software every day to make critical decisions and run more efficient, profitable operations. The Role: In order to analyze billions of fruit on farms all year long, our advanced, tractor-mounted camera systems have to know a.) precisely where they are, and b.) everything about the fruit they are seeing. We are looking for a Machine Learning Engineer to build creative, practical, and robust solutions to ML/CV software and infrastructure problems , relating to training edge ML models on massive amounts of real-world farm image data collected by our camera systems. About the role: Full-time, in-person role at our San Francisco or Seattle office. As an early engineer, you'll receive generous equity compensation Comprehensive Health, Vision, and Dental coverage, and we cover 100% of the premium We move fast, and sometimes this means staying late or working weekends Our team is close-knit & highly driven, you'll work directly with our CEO and entire team We're deeply motivated by the impact we're making - every line of code written or new system built means less food that goes to waste, and more people who are fed. What you'll do: Build and maintain scalable ETL pipelines for processing large, diverse image datasets collected from our tractor-mounted camera systems in farms. Develop and deploy infrastructure for model training, evaluation, and inference, both in the cloud and on edge devices. Design and implement intelligent active sampling infrastructure to optimize data collection and improve model performance. Stay up-to-date with current literature in computer vision models and architectures, and apply relevant advancements to our systems. Collaborate with a multidisciplinary team to integrate ML solutions into production robotics systems. Work closely with agronomists and farmers to understand crop biology and translate domain knowledge into actionable ML features. Be a generalist, supporting different parts of our software stack as needed. What makes you a good fit: 2+ years of real-world, industry experience building production-grade data pipelines and ML infrastructure. Proficiency in Python and experience with ML frameworks (e.g., PyTorch). Strong experience with data engineering tools (e.g., Pandas, SQL, MLFlow, WandB). Familiarity with cloud platforms (AWS, GCP) and containerization (Docker, Kubernetes). Experience working with massive amounts of real-world training data. Familiarity with MLops software and data engineering to ensure consistent deployment of ML models. Ability to work independently, learn quickly, and operate in a dynamic environment Enthusiasm for taking on multiple roles and responsibilities as our company grows. Bonus Points: Experience deploying & optimizing ML models to run fast on embedded compute like NVIDIA Jetson Experience prototyping, evaluating, or deploying new ML/CV models on the edge. If you're looking to help make a positive impact in the world by building the future of farming, come join us! Compensation Range: $135K - $210K
Job Description Job Description We are looking for a senior ML infrastructure engineer to build and evolve the systems that support model training, deployment, and production usage. This role sits at the intersection of software engineering, infrastructure, ML workflows, and developer experience. The work focuses on production-quality ML systems: reliability, scalability, observability, and usability for the team. You will work on training infrastructure, deployment workflows, model serving, platform tooling, automation, and production reliability. Training deployment is a core focus, and experience with inference deployment is a strong plus. We care about engineering judgment, technical depth, communication, and the ability to turn messy ML workflows into stable platform capabilities. What You Will Own Design, build, and evolve infrastructure for ML training workflows, training deployment, experiment execution, and production handoff. Build and maintain deployment paths for models, jobs, services, and supporting infrastructure across development and production environments. Improve reliability, scalability, observability, and developer experience for ML workflows and platform tools. Define interfaces, automation, metadata, artifacts, configuration, environment management, and lifecycle boundaries for ML systems. Collaborate with research, product, data, and engineering partners to translate incomplete ML workflow needs into maintainable systems. Support production usage by building clear operational tooling, debugging paths, and safe rollout mechanisms. What We Look For Strong software engineering and infrastructure fundamentals, with experience owning production or near-production systems. Practical experience with PyTorch and ML training workflows, including job orchestration, compute environments, artifact management, and deployment automation. Solid understanding of heterogeneous computing and high-performance computing, especially for ML training or serving workloads. Good understanding of model lifecycle concerns: data, configs, checkpoints, artifacts, reproducibility, rollout, rollback, and observability. Ability to build reliable platform abstractions without hiding the important details ML practitioners need to control. Clear technical and product sense: you can prioritize platform work that unlocks real training or deployment velocity. High standards for engineering quality, including tests, documentation, debugging tools, and maintainable system design. Tech Stack You May Work With Python PyTorch Heterogeneous computing and high-performance computing ML training pipelines, job orchestration, compute scheduling, containers, and deployment automation Model artifacts, metadata, storage, experiment tracking, and configuration systems Model serving, inference deployment, APIs, queues, and observability tools Docker, CI/CD, cloud infrastructure, GPUs, and internal platform tooling Bonus Points Experience building training deployment systems, model release workflows, or ML platform tooling for research and production teams. Experience with inference deployment, model serving, online/offline evaluation, performance tuning, or rollout safety. Experience with distributed training, GPU infrastructure, workload scheduling, artifact/version management, or reproducibility tooling. Understanding of CUDA, GPU architecture, or low-level performance optimization. Experience with open-source inference and serving frameworks such as vLLM, TensorRT, Triton, or similar systems. Experience migrating ad hoc notebooks, scripts, or manual ML processes into reliable platform workflows. This Role May Not Be a Fit If You mainly want to train models personally and do not enjoy building infrastructure for others to use. You are comfortable with manual ML workflows and do not care about reproducibility, deployment, or operational quality. You prefer narrow implementation tasks and do not want to reason about system boundaries, platform UX, or long-term maintenance. You over-abstract ML workflows without understanding where researchers and engineers need control and visibility. Why This Role Matters ML teams move faster when training, deployment, and production usage are supported by reliable infrastructure instead of scattered scripts and manual processes. This role will directly shape how models move from experimentation to production, how safely they are deployed, and how efficiently the team can iterate. For the right person, it is a high-ownership platform role with deep impact on both engineering quality and ML velocity. What We Would Like to See When You Apply ML infrastructure, training platforms, deployment systems, or model serving systems you have owned. Examples of how you improved training reliability, deployment velocity, reproducibility, observability, or operational safety. Cases where you turned messy ML workflows into maintainable tools, services, or platform abstractions. Examples that show your technical judgment, communication, and ability to work across research and engineering needs.
08/05/2026
Full time
Job Description Job Description We are looking for a senior ML infrastructure engineer to build and evolve the systems that support model training, deployment, and production usage. This role sits at the intersection of software engineering, infrastructure, ML workflows, and developer experience. The work focuses on production-quality ML systems: reliability, scalability, observability, and usability for the team. You will work on training infrastructure, deployment workflows, model serving, platform tooling, automation, and production reliability. Training deployment is a core focus, and experience with inference deployment is a strong plus. We care about engineering judgment, technical depth, communication, and the ability to turn messy ML workflows into stable platform capabilities. What You Will Own Design, build, and evolve infrastructure for ML training workflows, training deployment, experiment execution, and production handoff. Build and maintain deployment paths for models, jobs, services, and supporting infrastructure across development and production environments. Improve reliability, scalability, observability, and developer experience for ML workflows and platform tools. Define interfaces, automation, metadata, artifacts, configuration, environment management, and lifecycle boundaries for ML systems. Collaborate with research, product, data, and engineering partners to translate incomplete ML workflow needs into maintainable systems. Support production usage by building clear operational tooling, debugging paths, and safe rollout mechanisms. What We Look For Strong software engineering and infrastructure fundamentals, with experience owning production or near-production systems. Practical experience with PyTorch and ML training workflows, including job orchestration, compute environments, artifact management, and deployment automation. Solid understanding of heterogeneous computing and high-performance computing, especially for ML training or serving workloads. Good understanding of model lifecycle concerns: data, configs, checkpoints, artifacts, reproducibility, rollout, rollback, and observability. Ability to build reliable platform abstractions without hiding the important details ML practitioners need to control. Clear technical and product sense: you can prioritize platform work that unlocks real training or deployment velocity. High standards for engineering quality, including tests, documentation, debugging tools, and maintainable system design. Tech Stack You May Work With Python PyTorch Heterogeneous computing and high-performance computing ML training pipelines, job orchestration, compute scheduling, containers, and deployment automation Model artifacts, metadata, storage, experiment tracking, and configuration systems Model serving, inference deployment, APIs, queues, and observability tools Docker, CI/CD, cloud infrastructure, GPUs, and internal platform tooling Bonus Points Experience building training deployment systems, model release workflows, or ML platform tooling for research and production teams. Experience with inference deployment, model serving, online/offline evaluation, performance tuning, or rollout safety. Experience with distributed training, GPU infrastructure, workload scheduling, artifact/version management, or reproducibility tooling. Understanding of CUDA, GPU architecture, or low-level performance optimization. Experience with open-source inference and serving frameworks such as vLLM, TensorRT, Triton, or similar systems. Experience migrating ad hoc notebooks, scripts, or manual ML processes into reliable platform workflows. This Role May Not Be a Fit If You mainly want to train models personally and do not enjoy building infrastructure for others to use. You are comfortable with manual ML workflows and do not care about reproducibility, deployment, or operational quality. You prefer narrow implementation tasks and do not want to reason about system boundaries, platform UX, or long-term maintenance. You over-abstract ML workflows without understanding where researchers and engineers need control and visibility. Why This Role Matters ML teams move faster when training, deployment, and production usage are supported by reliable infrastructure instead of scattered scripts and manual processes. This role will directly shape how models move from experimentation to production, how safely they are deployed, and how efficiently the team can iterate. For the right person, it is a high-ownership platform role with deep impact on both engineering quality and ML velocity. What We Would Like to See When You Apply ML infrastructure, training platforms, deployment systems, or model serving systems you have owned. Examples of how you improved training reliability, deployment velocity, reproducibility, observability, or operational safety. Cases where you turned messy ML workflows into maintainable tools, services, or platform abstractions. Examples that show your technical judgment, communication, and ability to work across research and engineering needs.
Job Description Job Description Senior Autonomy Engineer About the Company This aerospace startup is reshaping how the world connects from above. The team is developing solar-powered, long-endurance UAVs that operate at the edge of the atmosphere, delivering next-generation, low-latency communication capabilities to areas traditional satellite and ground-based networks cannot serve well. The vision is to redefine global connectivity for everything from underserved regions and disaster response to dynamic, mission-critical coverage. Backed by top-tier investors and led by a tight team of operators and engineers from the most respected names in aerospace, defense, and telecom, this is a rare ground-floor opportunity. They are lean, builder-led, and moving fast toward a near-term flight demonstration. This team has the technical depth, the network, and the timing to leap past incumbents and define the category. We prefer this person to be located in the Bay Area and onsite at headquarters, but for the right candidate we may consider a hybrid arrangement. About the Role This team is looking for a Senior Autonomy Engineer to own the design, architecture, and development of the entire autonomy software stack across the vehicle, payload, and ground infrastructure. As a true founding-team engineer, this person will be a world-class individual contributor and architect, with full latitude to shape how the aircraft flies, recovers, and eventually coordinates as a fleet. This is not a maintenance seat. It is the chance to define the autonomy platform from the ground up and watch your code fly. What You'll Own End-to-end autonomy architecture across vehicle, payload, and ground infrastructure for a long-endurance, high-altitude aircraft Mission management and behavioral executive: design the high-level state machines, behavior trees, and contingency logic that govern mission phases, abort behaviors, fault response, and payload coordination. Path and trajectory planning: build the algorithms for auto-takeoff, landing, dynamic waypoint navigation, geofencing, and end-to-end autonomous routing. Scale toward cooperative and non-cooperative avoidance and energy-aware planning that accounts for battery state of charge, expected solar harvest, and predicted spatial wind fields. Health, status, and fault detection: design robust fault detection and isolation that distinguishes healthy from faulty sensors and actuators, monitors system health, and triggers safe contingency behaviors on board in real time. Fleet management and simulation: build the centralized software that coordinates multiple vehicles across multiple sites, and stand up the cloud infrastructure for large-scale distributed simulation and log analysis. Infrastructure and testing: design and optimize CI/CD pipelines for autonomy software, drive SIL and HIL validation, and own flight readiness for early prototypes. What We're Looking For Deep, hands-on experience with path planning algorithms, finite state machines, and behavior trees. You have shipped autonomy that has flown or driven in the real world, not just in simulation. Strong production-level software engineering skill in a typed language. Heavy preference for Rust. C++ also strongly considered for the right profile. Broad systems architecture instincts. You are comfortable architecting complex, scalable software that bridges embedded vehicle software, ground systems, and cloud-based fleet managers. Embedded software experience on complex hardware platforms. Flying vehicles preferred, but robotics, autonomous ground systems, and other high-stakes hardware count. Ability to move fast and build in ambiguity. You reach for first principles rather than industry standards when the standards do not yet exist for the problem. Strong physics or GNC-adjacent intuition is a plus. The ability to look at flight logs and reason not only about whether mission management responded correctly, but why the aircraft is behaving the way it is, makes you stand out. A strong problem-solving mindset with a bias for action and excellent collaboration instincts. Excitement to be part of an ambitious, technically rigorous founding team, and a desire to do the best work of your career here. Benefits Why You'll Love Working Here Join a powerhouse team of brilliant builders Collaborate with a tight-knit crew of deeply technical operators and engineers from the most respected programs in aerospace, defense, and telecom. You will work alongside founders and leaders with a track record of shipping at the highest bar. Competitive startup salary Be paid well to do the most energizing work of your career. Ground-floor equity Own meaningful upside from day one. Shape the trajectory of the company and participate fully in the value you help create. Excellent health insurance Strong medical coverage so you can stay healthy while pushing the boundaries of what is possible. Dog-friendly office with Bay views Bring your pup and enjoy a beautiful workspace with panoramic water views that spark creativity and focus. Work on a uniquely hard problem Architect autonomy for an aircraft that lives at the edge of the atmosphere, where the wind is often faster than the vehicle and every kilogram, watt, and line of code matters. This is the kind of problem that nerd-snipes the best autonomy engineers in the world. About AdAstra AdAstra Talent Advisors is a headhunting and talent advising firm focused on the Climate, Space, and Defense sectors of Hard Tech. We specialize in pairing highly technical and executive talent with some of the world's leading Hard Tech startups. At AdAstra, we catalyze the innovations that future generations depend on by placing the right people in the right seats. Our dedicated work enables inconceivable technology from Earth, to the stars. And it's all because of trailblazing talent like you - those driven to do what's never been done before. We care about long term relationships with both candidates and companies. Even if the role we initially discuss isn't a perfect fit, it's likely we'll have something relevant to share with you in the future. Join us on our journey by following along via LinkedIn! CEO, Seyka Mejeur LinkedIn profile CTO / COO, Brian Mejeur LinkedIn profile AdAstra Talent Advisors LinkedIn profile AdAstra Website
08/05/2026
Full time
Job Description Job Description Senior Autonomy Engineer About the Company This aerospace startup is reshaping how the world connects from above. The team is developing solar-powered, long-endurance UAVs that operate at the edge of the atmosphere, delivering next-generation, low-latency communication capabilities to areas traditional satellite and ground-based networks cannot serve well. The vision is to redefine global connectivity for everything from underserved regions and disaster response to dynamic, mission-critical coverage. Backed by top-tier investors and led by a tight team of operators and engineers from the most respected names in aerospace, defense, and telecom, this is a rare ground-floor opportunity. They are lean, builder-led, and moving fast toward a near-term flight demonstration. This team has the technical depth, the network, and the timing to leap past incumbents and define the category. We prefer this person to be located in the Bay Area and onsite at headquarters, but for the right candidate we may consider a hybrid arrangement. About the Role This team is looking for a Senior Autonomy Engineer to own the design, architecture, and development of the entire autonomy software stack across the vehicle, payload, and ground infrastructure. As a true founding-team engineer, this person will be a world-class individual contributor and architect, with full latitude to shape how the aircraft flies, recovers, and eventually coordinates as a fleet. This is not a maintenance seat. It is the chance to define the autonomy platform from the ground up and watch your code fly. What You'll Own End-to-end autonomy architecture across vehicle, payload, and ground infrastructure for a long-endurance, high-altitude aircraft Mission management and behavioral executive: design the high-level state machines, behavior trees, and contingency logic that govern mission phases, abort behaviors, fault response, and payload coordination. Path and trajectory planning: build the algorithms for auto-takeoff, landing, dynamic waypoint navigation, geofencing, and end-to-end autonomous routing. Scale toward cooperative and non-cooperative avoidance and energy-aware planning that accounts for battery state of charge, expected solar harvest, and predicted spatial wind fields. Health, status, and fault detection: design robust fault detection and isolation that distinguishes healthy from faulty sensors and actuators, monitors system health, and triggers safe contingency behaviors on board in real time. Fleet management and simulation: build the centralized software that coordinates multiple vehicles across multiple sites, and stand up the cloud infrastructure for large-scale distributed simulation and log analysis. Infrastructure and testing: design and optimize CI/CD pipelines for autonomy software, drive SIL and HIL validation, and own flight readiness for early prototypes. What We're Looking For Deep, hands-on experience with path planning algorithms, finite state machines, and behavior trees. You have shipped autonomy that has flown or driven in the real world, not just in simulation. Strong production-level software engineering skill in a typed language. Heavy preference for Rust. C++ also strongly considered for the right profile. Broad systems architecture instincts. You are comfortable architecting complex, scalable software that bridges embedded vehicle software, ground systems, and cloud-based fleet managers. Embedded software experience on complex hardware platforms. Flying vehicles preferred, but robotics, autonomous ground systems, and other high-stakes hardware count. Ability to move fast and build in ambiguity. You reach for first principles rather than industry standards when the standards do not yet exist for the problem. Strong physics or GNC-adjacent intuition is a plus. The ability to look at flight logs and reason not only about whether mission management responded correctly, but why the aircraft is behaving the way it is, makes you stand out. A strong problem-solving mindset with a bias for action and excellent collaboration instincts. Excitement to be part of an ambitious, technically rigorous founding team, and a desire to do the best work of your career here. Benefits Why You'll Love Working Here Join a powerhouse team of brilliant builders Collaborate with a tight-knit crew of deeply technical operators and engineers from the most respected programs in aerospace, defense, and telecom. You will work alongside founders and leaders with a track record of shipping at the highest bar. Competitive startup salary Be paid well to do the most energizing work of your career. Ground-floor equity Own meaningful upside from day one. Shape the trajectory of the company and participate fully in the value you help create. Excellent health insurance Strong medical coverage so you can stay healthy while pushing the boundaries of what is possible. Dog-friendly office with Bay views Bring your pup and enjoy a beautiful workspace with panoramic water views that spark creativity and focus. Work on a uniquely hard problem Architect autonomy for an aircraft that lives at the edge of the atmosphere, where the wind is often faster than the vehicle and every kilogram, watt, and line of code matters. This is the kind of problem that nerd-snipes the best autonomy engineers in the world. About AdAstra AdAstra Talent Advisors is a headhunting and talent advising firm focused on the Climate, Space, and Defense sectors of Hard Tech. We specialize in pairing highly technical and executive talent with some of the world's leading Hard Tech startups. At AdAstra, we catalyze the innovations that future generations depend on by placing the right people in the right seats. Our dedicated work enables inconceivable technology from Earth, to the stars. And it's all because of trailblazing talent like you - those driven to do what's never been done before. We care about long term relationships with both candidates and companies. Even if the role we initially discuss isn't a perfect fit, it's likely we'll have something relevant to share with you in the future. Join us on our journey by following along via LinkedIn! CEO, Seyka Mejeur LinkedIn profile CTO / COO, Brian Mejeur LinkedIn profile AdAstra Talent Advisors LinkedIn profile AdAstra Website
Job Description Job Description AppZen is the leader in autonomous spend-to-pay software. Its patented artificial intelligence accurately and efficiently processes information from thousands of data sources so that organizations can better understand enterprise spend at scale to make smarter business decisions. It seamlessly integrates with existing accounts payable, expense, and card workflows to read, understand, and make real-time decisions based on your unique spend profile, leading to faster processing times and fewer instances of fraud or wasteful spend. Global enterprises, including one-third of the Fortune 500, use AppZen's invoice, expense, and card transaction solutions to replace manual finance processes and accelerate the speed and agility of their businesses. At AppZen, we value candidates who are actively using AI tools to enhance productivity, automate repetitive tasks, and solve problems more efficiently. Across all roles, we are looking for team members who leverage AI in meaningful ways to drive impact in their work. To learn more, visit us at . We are looking for an AI Engineer to help build and scale our next-generation AI platform, with a strong focus on agentic systems. In this role, you'll design and develop intelligent agents powered by LLMs-leveraging tool calling, orchestration frameworks, and advanced context management to enable reasoning, planning, and autonomous decision-making across complex workflows. You'll work hands-on with modern agentic stacks (e.g., LangGraph, Autogen), asynchronous and streaming architectures, and production-grade observability to bring scalable, real-world AI systems to life. If you're passionate about pushing the boundaries of agentic AI and building systems that operate reliably in production, AppZen offers a high-impact environment to do just that. Must-Have: Experience working on Agentic systems using LLMs, tool calling, model context protocol, tracing observability tools. Familiarity with Agent orchestration frameworks such as LangGraph, Autogen, or others. Must be a power user of Agentic coding tools like Claude Code, Cursor, Codex. Deep understanding of working on asynchronous and streaming system architectures for chat bots and asynchronous agents. Familiarity with tools such as Temporal, and either Python or GO programming languages. Solid understanding of machine learning fundamentals, and familiar with standard algorithms and techniques Ability to analyze a wide variety of data: structured and unstructured, observational and experimental, to drive system designs and product implementations Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc. Manage your own process: identify and execute on high impact projects, triage external requests, and make sure you bring projects to conclusion in time for the results to be useful Excellent written and verbal technical communication skills; communicate proposals and results in a clear manner backed by data and coupled with actionable conclusions to drive business decisions BS/MS or equivalent experience in Computer Science, Engineering, Machine Learning, or other relevant technical field Must have 5+ years of industry experience Nice-to-Have: Familiarity with data engineering concepts like data warehouses, streaming data. Specifics like Redshift or Spark are needed. Infrastructure engineering and/or devops knowledge on systems such as Kubernetes, AWS. AppZen is committed to fair and equitable compensation practices. The base pay range for this role is posted above. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. We are an equal opportunity employer and value diversity. All employment is decided on the basis of qualifications, merit and business need. You can find our Privacy Notice linked on the bottom of our website. We may use artificial intelligence tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.
08/05/2026
Full time
Job Description Job Description AppZen is the leader in autonomous spend-to-pay software. Its patented artificial intelligence accurately and efficiently processes information from thousands of data sources so that organizations can better understand enterprise spend at scale to make smarter business decisions. It seamlessly integrates with existing accounts payable, expense, and card workflows to read, understand, and make real-time decisions based on your unique spend profile, leading to faster processing times and fewer instances of fraud or wasteful spend. Global enterprises, including one-third of the Fortune 500, use AppZen's invoice, expense, and card transaction solutions to replace manual finance processes and accelerate the speed and agility of their businesses. At AppZen, we value candidates who are actively using AI tools to enhance productivity, automate repetitive tasks, and solve problems more efficiently. Across all roles, we are looking for team members who leverage AI in meaningful ways to drive impact in their work. To learn more, visit us at . We are looking for an AI Engineer to help build and scale our next-generation AI platform, with a strong focus on agentic systems. In this role, you'll design and develop intelligent agents powered by LLMs-leveraging tool calling, orchestration frameworks, and advanced context management to enable reasoning, planning, and autonomous decision-making across complex workflows. You'll work hands-on with modern agentic stacks (e.g., LangGraph, Autogen), asynchronous and streaming architectures, and production-grade observability to bring scalable, real-world AI systems to life. If you're passionate about pushing the boundaries of agentic AI and building systems that operate reliably in production, AppZen offers a high-impact environment to do just that. Must-Have: Experience working on Agentic systems using LLMs, tool calling, model context protocol, tracing observability tools. Familiarity with Agent orchestration frameworks such as LangGraph, Autogen, or others. Must be a power user of Agentic coding tools like Claude Code, Cursor, Codex. Deep understanding of working on asynchronous and streaming system architectures for chat bots and asynchronous agents. Familiarity with tools such as Temporal, and either Python or GO programming languages. Solid understanding of machine learning fundamentals, and familiar with standard algorithms and techniques Ability to analyze a wide variety of data: structured and unstructured, observational and experimental, to drive system designs and product implementations Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc. Manage your own process: identify and execute on high impact projects, triage external requests, and make sure you bring projects to conclusion in time for the results to be useful Excellent written and verbal technical communication skills; communicate proposals and results in a clear manner backed by data and coupled with actionable conclusions to drive business decisions BS/MS or equivalent experience in Computer Science, Engineering, Machine Learning, or other relevant technical field Must have 5+ years of industry experience Nice-to-Have: Familiarity with data engineering concepts like data warehouses, streaming data. Specifics like Redshift or Spark are needed. Infrastructure engineering and/or devops knowledge on systems such as Kubernetes, AWS. AppZen is committed to fair and equitable compensation practices. The base pay range for this role is posted above. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. We are an equal opportunity employer and value diversity. All employment is decided on the basis of qualifications, merit and business need. You can find our Privacy Notice linked on the bottom of our website. We may use artificial intelligence tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.
Job Description Job Description About Gridware Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware's advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit . Responsibilities Develop algorithms that improve the speed, accuracy, and reliability of Gridware's automated hazard detection systems Work with multimodal time-series and spatial sensor data across diverse sampling rates and noise characteristics. Design models that are robust, interpretable, and deployable in production environments. Live in the data; help curate & share strategic & well-defined datasets that help solve our highest-value challenges Explore advanced approaches such as graph-based learning for grid topology reasoning, geospatial modeling and localization and multimodal fusion across acoustic, magnetic, vibration, electrical, and visual signals Production Engineering Write clean, scalable, well-tested Python code that integrates into a large shared codebase. Build end-to-end ML pipelines including data processing, feature extraction, training, evaluation, and deployment. Optimize models for performance, reliability, and real-world constraints. Collaborate on infrastructure for model monitoring, validation, and continuous improvement. Collaboration & Communication Translate complex analyses into clear insights for engineers, operators, and leadership. Frame solutions to ambiguous, open-ended problems to achieve buy-in from various stakeholders by focusing on the business impact of your projects Communicate uncertainty, tradeoffs, and model behavior effectively. Partner cross-functionally with software, data engineering, product, and event-reporting teams. Help shape technical direction and best practices for ML at Gridware. This includes exemplifying standards for experiment tracking, model versioning, reproducibility, and lifecycle management. Required Skills 5+ years of experience in machine learning, signal processing, or applied physics in production environments. Strong programming skills in Python and experience contributing to large, shared codebases. Experience working within modern software stacks, including cloud platforms, containerization, and CI/CD workflows Excellent written and verbal communication, especially explaining data and models clearly. Bonus Skills Experience with Graph Neural Networks or learning over physical/topological systems. Familiarity with power systems, embedded sensing, or edge ML. Proven experience with time-series modeling and noisy real-world sensor data. Experience with multimodal learning or sensor fusion. Track record of technical leadership or mentoring. This describes the ideal candidate; many of us have picked up this expertise along the way. Even if you meet only part of this list, we encourage you to apply! Benefits Health, Dental & Vision (Gold and Platinum with some providers plans fully covered) Paid parental leave Alternating day off (every other Monday) "Off the Grid", a two week per year paid break for all employees. Commuter allowance Company-paid training
08/05/2026
Full time
Job Description Job Description About Gridware Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware's advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit . Responsibilities Develop algorithms that improve the speed, accuracy, and reliability of Gridware's automated hazard detection systems Work with multimodal time-series and spatial sensor data across diverse sampling rates and noise characteristics. Design models that are robust, interpretable, and deployable in production environments. Live in the data; help curate & share strategic & well-defined datasets that help solve our highest-value challenges Explore advanced approaches such as graph-based learning for grid topology reasoning, geospatial modeling and localization and multimodal fusion across acoustic, magnetic, vibration, electrical, and visual signals Production Engineering Write clean, scalable, well-tested Python code that integrates into a large shared codebase. Build end-to-end ML pipelines including data processing, feature extraction, training, evaluation, and deployment. Optimize models for performance, reliability, and real-world constraints. Collaborate on infrastructure for model monitoring, validation, and continuous improvement. Collaboration & Communication Translate complex analyses into clear insights for engineers, operators, and leadership. Frame solutions to ambiguous, open-ended problems to achieve buy-in from various stakeholders by focusing on the business impact of your projects Communicate uncertainty, tradeoffs, and model behavior effectively. Partner cross-functionally with software, data engineering, product, and event-reporting teams. Help shape technical direction and best practices for ML at Gridware. This includes exemplifying standards for experiment tracking, model versioning, reproducibility, and lifecycle management. Required Skills 5+ years of experience in machine learning, signal processing, or applied physics in production environments. Strong programming skills in Python and experience contributing to large, shared codebases. Experience working within modern software stacks, including cloud platforms, containerization, and CI/CD workflows Excellent written and verbal communication, especially explaining data and models clearly. Bonus Skills Experience with Graph Neural Networks or learning over physical/topological systems. Familiarity with power systems, embedded sensing, or edge ML. Proven experience with time-series modeling and noisy real-world sensor data. Experience with multimodal learning or sensor fusion. Track record of technical leadership or mentoring. This describes the ideal candidate; many of us have picked up this expertise along the way. Even if you meet only part of this list, we encourage you to apply! Benefits Health, Dental & Vision (Gold and Platinum with some providers plans fully covered) Paid parental leave Alternating day off (every other Monday) "Off the Grid", a two week per year paid break for all employees. Commuter allowance Company-paid training
Job Description Job Description At ASAPP, our mission is simple: deliver the best AI-powered customer experience-faster than anyone else. To achieve that, we're guided by principles that shape how we think, build, and execute. We value customer obsession, purposeful speed, ownership, and a relentless focus on outcomes. We work in tight, skilled teams, prioritize clarity over complexity, and continuously evolve through curiosity, data, and craftsmanship. We're seeking technologists and problem solvers who thrive in fast-paced environments, love collaborating with great talent, and approach every day like it's Day 1. We're a globally diverse team with hubs in New York City, Mountain View, Latin America, and India-embracing both hybrid and remote work to bring the best minds together, wherever they are. If you're driven by continuous learning, rapid pivots, and the challenges of building in a high-growth startup, we'd love to talk. This is more than a job-it's a journey. Site Reliability Engineers (SREs) are responsible for the overall performance and reliability of ASAPP's infrastructure and products. The team owns the entire infrastructure stacks. SREs design and implement the tools that automate building reliable and performant systems. We emphasize building tools over manual processes. We implement, not administer. We're obsessed with automation, not repetition. Our job is to focus on building reliable infrastructure and tools for our product teams so that they can solve customer problems and deliver new features, not reinvent platforms. What you'll do Work with product engineering teams on service architecture and implementation Deliver Infrastructure configuration as code and automate everything Direct and implement monitoring and alerting systems to support rapid problem diagnosis Perform Root Cause Analysis and design and deliver resolutions Work on our Kubernetes / AWS infrastructure to support our product engineers Design secure and performant networking solutions in our production systems What you'll need +4 years of relevant experience bringing software to production at high scale Participation in on-call rotation, triaging and addressing production issues Obsession with automation and instrumentation Understanding of complex systems and failure scenarios Excellent communication skills Knowledge of AWS services, containers and container management frameworks Familiarity with Message Bus based systems and distributed architectures Proficiency in Terraform , Python and/or Go What we'd like to see BS or MS degree in the Computer Science field, or equivalent hands-on experience. Experience in product oriented environments Scalable distributed applications experience Benefits Competitive compensation with stock options Comprehensive medical, vision, and dental insurance 401k matching Fitness and wellness stipend Mobile phone reimbursement Mental well-being benefits Professional learning and development stipend Parental leave, including adoptive and foster parents 3 weeks paid time off (increases with tenure) and unlimited sick leave Compensation is a combination of salary and performance bonus Separately, you will also receive an equity grant ASAPP is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. If you have a disability and need assistance with our employment application process, please email us at to obtain assistance. 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.
08/05/2026
Full time
Job Description Job Description At ASAPP, our mission is simple: deliver the best AI-powered customer experience-faster than anyone else. To achieve that, we're guided by principles that shape how we think, build, and execute. We value customer obsession, purposeful speed, ownership, and a relentless focus on outcomes. We work in tight, skilled teams, prioritize clarity over complexity, and continuously evolve through curiosity, data, and craftsmanship. We're seeking technologists and problem solvers who thrive in fast-paced environments, love collaborating with great talent, and approach every day like it's Day 1. We're a globally diverse team with hubs in New York City, Mountain View, Latin America, and India-embracing both hybrid and remote work to bring the best minds together, wherever they are. If you're driven by continuous learning, rapid pivots, and the challenges of building in a high-growth startup, we'd love to talk. This is more than a job-it's a journey. Site Reliability Engineers (SREs) are responsible for the overall performance and reliability of ASAPP's infrastructure and products. The team owns the entire infrastructure stacks. SREs design and implement the tools that automate building reliable and performant systems. We emphasize building tools over manual processes. We implement, not administer. We're obsessed with automation, not repetition. Our job is to focus on building reliable infrastructure and tools for our product teams so that they can solve customer problems and deliver new features, not reinvent platforms. What you'll do Work with product engineering teams on service architecture and implementation Deliver Infrastructure configuration as code and automate everything Direct and implement monitoring and alerting systems to support rapid problem diagnosis Perform Root Cause Analysis and design and deliver resolutions Work on our Kubernetes / AWS infrastructure to support our product engineers Design secure and performant networking solutions in our production systems What you'll need +4 years of relevant experience bringing software to production at high scale Participation in on-call rotation, triaging and addressing production issues Obsession with automation and instrumentation Understanding of complex systems and failure scenarios Excellent communication skills Knowledge of AWS services, containers and container management frameworks Familiarity with Message Bus based systems and distributed architectures Proficiency in Terraform , Python and/or Go What we'd like to see BS or MS degree in the Computer Science field, or equivalent hands-on experience. Experience in product oriented environments Scalable distributed applications experience Benefits Competitive compensation with stock options Comprehensive medical, vision, and dental insurance 401k matching Fitness and wellness stipend Mobile phone reimbursement Mental well-being benefits Professional learning and development stipend Parental leave, including adoptive and foster parents 3 weeks paid time off (increases with tenure) and unlimited sick leave Compensation is a combination of salary and performance bonus Separately, you will also receive an equity grant ASAPP is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. If you have a disability and need assistance with our employment application process, please email us at to obtain assistance. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job Description Job Description Sierra Circuits is a Silicon Valley-based leader in printed circuit board manufacturing and assembly, specializing in high-quality, quick-turn and complex prototypes. With over 35 years of experience, Sierra provides a seamless, end-to-end PCB solution-from design and fabrication to assembly and testing-all under one roof at its state-of-the-art facilities in Sunnyvale, California. Sierra Circuits is committed to supporting engineers and designers through extensive educational resources. The company offers free online tools such as the Stackup Designer, Impedance Calculator, Material Selector, and BOM and DFM Checkers, along with technical blogs, webinars, design guides, and its SierraConnect community forum. Sierra Circuit serves all industries including aerospace, defense, medical, automotive, and telecommunications, building PCBs to the highest industry standards, and keeping innovation at the forefront of everything we do. SUMMARY: The CAM Engineer is responsible for reviewing customer-supplied data and drawings, performing design rule checks, and the creation of manufacturing data, program's and tools required for the manufacture of printed circuit boards. Must be familiar with Flex and Rigid Flex boards. RESPONSIBILITIES: Import customer data into various CAM systems. Perform design rule checks and edit data to comply with manufacturing guidelines. Create array configurations, route and test programs, Penalization and output data for production use. Itemize and correspond design issues with customers. Receive and share knowledge in a team environment. Work extended hours and perform other duties based on the needs of the department and company. QUALIFICATIONS: AA Degree preferred. 3-5 years' experience as a CAM Engineer for a reputed PCB Manufacturing Company. Must have a clear understanding of processes required to manufacture high-tech PCB's. Prior experience with valor software a plus. Prior experience of working on CAM of HDI, Flex and Rigid Flex is a must. Ability to read and understand technical drawings and work instructions. Proficient computer skills: Microsoft Excel/Word/Outlook and the ability to learn new skills and tasks as required, especially PCB software (Valor & ProCIM). Ability to make mathematical calculations and utilize complex drawings. Must be flexible to work extended hours base on the need of the department and company. Ability to perform at the highest level in a fast-paced environment. Excellent oral and written communication skills. Exceptional multi-tasking, organizational skills, strong attention to detail and accuracy. Strong interpersonal skills and ability to work with all levels of management Self-motivator and a sense of ownership and urgency. Must be able to maintain confidentiality & professionalism at all times. Proficient in Microsoft Office using Excel, PowerPoint, and Word required. PHYSICAL DEMANDS : The physical demands described here represent those that an employee must meet to perform the essential functions of this job successfully. While performing the duties of this job, the employee is regularly required to talk or hear. The employee must frequently stand, walk, and reach with hands and arms. The ability to lift 20 lbs., open filing cabinets, and bend, stand, or climb on step ladders as necessary. ENVIRONMENT : Office and Manufacturing - Comply with safety and protective equipment as required. Hourly Rate Range: $30.00 - $42.00 / per hour What We Offer Full - Time, exempt position Excellent benefits package includes; Medical (HMO & PPO), Dental, Vision, Flexible Spending Accounts, Basic Life/ADD, Voluntary Benefits Vacation, sick and paid holidays 2 positions are available. 1 for Day Shift, usually 9AM-6PM and 1 for Swing Shift, usually 2:30PM-11PM. Currently both positions are onsite positions located at our Sunnyvale location.
08/05/2026
Full time
Job Description Job Description Sierra Circuits is a Silicon Valley-based leader in printed circuit board manufacturing and assembly, specializing in high-quality, quick-turn and complex prototypes. With over 35 years of experience, Sierra provides a seamless, end-to-end PCB solution-from design and fabrication to assembly and testing-all under one roof at its state-of-the-art facilities in Sunnyvale, California. Sierra Circuits is committed to supporting engineers and designers through extensive educational resources. The company offers free online tools such as the Stackup Designer, Impedance Calculator, Material Selector, and BOM and DFM Checkers, along with technical blogs, webinars, design guides, and its SierraConnect community forum. Sierra Circuit serves all industries including aerospace, defense, medical, automotive, and telecommunications, building PCBs to the highest industry standards, and keeping innovation at the forefront of everything we do. SUMMARY: The CAM Engineer is responsible for reviewing customer-supplied data and drawings, performing design rule checks, and the creation of manufacturing data, program's and tools required for the manufacture of printed circuit boards. Must be familiar with Flex and Rigid Flex boards. RESPONSIBILITIES: Import customer data into various CAM systems. Perform design rule checks and edit data to comply with manufacturing guidelines. Create array configurations, route and test programs, Penalization and output data for production use. Itemize and correspond design issues with customers. Receive and share knowledge in a team environment. Work extended hours and perform other duties based on the needs of the department and company. QUALIFICATIONS: AA Degree preferred. 3-5 years' experience as a CAM Engineer for a reputed PCB Manufacturing Company. Must have a clear understanding of processes required to manufacture high-tech PCB's. Prior experience with valor software a plus. Prior experience of working on CAM of HDI, Flex and Rigid Flex is a must. Ability to read and understand technical drawings and work instructions. Proficient computer skills: Microsoft Excel/Word/Outlook and the ability to learn new skills and tasks as required, especially PCB software (Valor & ProCIM). Ability to make mathematical calculations and utilize complex drawings. Must be flexible to work extended hours base on the need of the department and company. Ability to perform at the highest level in a fast-paced environment. Excellent oral and written communication skills. Exceptional multi-tasking, organizational skills, strong attention to detail and accuracy. Strong interpersonal skills and ability to work with all levels of management Self-motivator and a sense of ownership and urgency. Must be able to maintain confidentiality & professionalism at all times. Proficient in Microsoft Office using Excel, PowerPoint, and Word required. PHYSICAL DEMANDS : The physical demands described here represent those that an employee must meet to perform the essential functions of this job successfully. While performing the duties of this job, the employee is regularly required to talk or hear. The employee must frequently stand, walk, and reach with hands and arms. The ability to lift 20 lbs., open filing cabinets, and bend, stand, or climb on step ladders as necessary. ENVIRONMENT : Office and Manufacturing - Comply with safety and protective equipment as required. Hourly Rate Range: $30.00 - $42.00 / per hour What We Offer Full - Time, exempt position Excellent benefits package includes; Medical (HMO & PPO), Dental, Vision, Flexible Spending Accounts, Basic Life/ADD, Voluntary Benefits Vacation, sick and paid holidays 2 positions are available. 1 for Day Shift, usually 9AM-6PM and 1 for Swing Shift, usually 2:30PM-11PM. Currently both positions are onsite positions located at our Sunnyvale location.