238 jobs found

About Us At American Engineering Testing (AET), we believe that people are the heart of innovation. We create an environment that values teamwork, curiosity, and continuous improvement while delivering innovative engineering and consulting solutions. As a 100% employee-owned firm, we deliver comprehensive testing, analysis, and design to reduce uncertainty in construction projects and offer rewarding work, exceptional training, and career development opportunities. Job Summary The Data Center Field Lead at American Engineering Testing, Inc. (AET) plays a critical leadership role in coordinating and overseeing field operations across construction materials testing (CMT), geotechnical, pavement, and environmental service lines. This role ensures high-quality service delivery, team performance, and safety compliance while acting as a frontline liaison between field technicians, project managers, and clients. The Field Supervisor leads field staff, supports operational goals, and upholds AET's commitment to technical excellence and client satisfaction across a variety of infrastructure and construction projects. This role is open to a range of experience levels. We encourage applications from both emerging leaders and seasoned professionals. The final title, scope, and compensation package will be tailored to reflect each candidate's background, expertise, and certifications. Essential Duties and Responsibilities Reasonable accommodations or workable solutions may be made to enable individuals with disabilities to perform essential functions. Assign and coordinate daily project schedules for field staff based on workload, testing complexity, certifications, and project scope. Provide technical guidance and quality control on field procedures including soils, concrete, asphalt, aggregate, and specialty materials testing. Perform or assist with complex field investigations, sampling procedures, and test observations. Review and approve field documentation including daily field reports, timesheets, expenses, and mileage logs. Support the use of AET's systems (e.g., QEST, Dynamics) for accurate project tracking and reporting. Serve as a point of contact for field-level project inquiries, coordinating with project managers and clients to resolve concerns or technical clarifications. Ensure that client specifications, contract requirements, and industry standards (e.g., ASTM, AASHTO, MnDOT) are consistently met on all active job sites. Support the development and delivery of accurate and timely testing results and project documentation. Mentor, coach, and train new and junior technicians in proper field methods, safety procedures, and client interaction. Conduct regular performance check-ins and annual reviews; support employees with development goals and certifications (e.g., ACI, NICET, MnDOT). Help manage field onboarding and certifications tracking, working closely with Department and HR teams. Lead field team meetings or tailgate talks to reinforce safety, project updates, and process improvements. Monitor and support project productivity, technician utilization, and overtime management. Assist with maintaining project and department profitability targets through scheduling, quality, and cost control. Help track prevailing wage compliance, WIP status, and project documentation accuracy in collaboration with project managers. Enforce AET's health and safety practices on all job sites; conduct spot checks and incident follow-ups as needed. Uphold QA/QC standards through review of field practices, calibrations, and proper documentation. Promote a positive team culture rooted in safety, respect, professionalism, and accountability. Supervisory Responsibility Direct Supervision of assigned field technicians or engineering staff. Required Qualifications and Education Requirements High School Diploma or equivalent required. Minimum 3 years of hands-on experience in construction materials testing or related engineering services. 0-2 years of direct supervisory experience required. Valid driver's license and acceptable driving record. Preferred Skills Associate or bachelor's degree in Civil Engineering, Construction Management, or Geology preferred. Field certifications such as ACI Field Testing Grade I, MnDOT Bituminous/Grading & Base, NICET, or equivalent. Strong working knowledge of field standards and test methods (ASTM, AASHTO, MnDOT). Experience using project tracking systems such as QEST or Microsoft Dynamics. Excellent communication and team leadership skills, with the ability to train and motivate technicians. Proven ability to manage shifting priorities in a high-volume, fast-paced field environment. Work Environment This job primarily operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, and filing cabinets. This position will occasionally be required to operate in a field environment. 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 this job. While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to stand; walk; use hands or fingers, handle or feel; and reach with hands and arms. The employee is occasionally required to sit; climb or balance, and stoop, kneel, crouch, or crawl. The employee must frequently lift and/or move up to 10 pounds and occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus Other Duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. Third Party Disclosure Notice to Third Party Agencies: AET does not accept unsolicited resumes from third party recruiting firms. Absent a signed Service Agreement by AET's Chief People Officer (CPO), AET reserves the right to pursue and hire these candidates without financial obligation to recruiters or agencies. PI81481f7512fb-4173

Build the systems that test the technology shaping the future of RF and microwave communications. About the Company Mission Microwave Technologies was founded in 2014 to revolutionize the next generation of Solid-State Power Amplifiers (SSPAs) and Block Upconverters (BUCs). We leverage advanced GaN transistors, proprietary power-combining techniques, and innovative full-system designs to deliver the industry's most efficient, compact, and lightweight high-power SSPAs. With more than 100 years of combined leadership experience supplying high-performance, high-reliability RF solutions to commercial, military, and space customers, Mission Microwave has grown rapidly over the past decade and is backed by a private equity firm committed to long-term innovation and expansion. We are proud to be ranked on Fortune's Best Workplaces in Manufacturing & Production and to have been recognized as a Great Place to Work since 2022. Mission Microwave is headquartered at 6060 Phyllis Drive, Cypress, CA 90603. About the Role Are you a LabVIEW expert who loves building elegant, high-efficiency automation systems? Do you get energized by turning complex RF/microwave test requirements into software that is fast, accurate, and rock-solid? If so, you'll thrive as a LabVIEW Programmer at Mission Microwave Technologies. In this role, you will develop, optimize, and maintain the automated test and data-acquisition systems that ensure the performance and reliability of our cutting-edge RF and microwave products. You'll work at the intersection of software engineering, hardware validation, and hands-on lab work supporting both high-volume production and next-generation engineering development. What You'll Do Develop, debug, and maintain LabVIEW-based software for automated test systems, DAQ, instrument control, and engineering test benches.Interface with industry-standard RF/microwave instruments-signal generators, VNAs, spectrum analyzers, power meters, and more-across GPIB, USB, LAN, PXI, and other protocols.Collaborate with RF engineers, test engineers, and manufacturing teams to transform test requirements into scalable software architectures, test sequences, GUIs, and reporting tools.Ensure software reliably measures key RF/microwave performance metrics, including gain, power, efficiency, noise figure, and linearity.Apply modern software engineering best practices: modular design, clean code, documentation, version control, and maintainability.Upgrade and optimize legacy test platforms to enhance speed, reliability, and user experience.Provide hands-on support on the factory floor-troubleshooting hardware/software interactions, commissioning systems, and resolving issues quickly.Drive continuous improvement initiatives around automation workflows, data management, and instrument integration.Support new product introduction (NPI), ensuring test software scales with production throughput, yield, and quality goals.Participate in system integration and test-fixture discussions, aligning software architecture with hardware and manufacturing strategies. What You Bring Bachelor's degree in Electrical Engineering, Computer Engineering, Software Engineering, or a related technical field 5+ years developing LabVIEW applications in test automation or DAQ environments 3+ years experience with RF/microwave test and measurementHands-on experience controlling oscilloscopes, VNAs, signal generators, power meters, DAQs, and similar lab equipmentAdvanced proficiency in LabVIEW (G-language), including modular design and state-machine architecturesStrong understanding of GPIB, USB, Ethernet, LXI, and related instrumentation protocolsExcellent troubleshooting and root-cause analysis skills-especially for software/hardware interactionsAbility to work in a fast-paced lab and manufacturing environment with engineers, technicians, and QA teams Self-driven, detail-oriented, and collaborative, with a strong sense of ownership and responsibilityAbility to handle sensitive information with discretion Bonus Points LabVIEW certification (CLD, CLA)Experience with LabVIEW Analytics or Machine Learning ToolkitFamiliarity with Matlab, Python, and/or RExperience with GPUs, FPGAs, or NPUs At Mission Microwave, you don't just take a job; you step into a mission that matters. We design and build world-class RF and microwave solutions that power the technologies behind defense, space, and next-generation communications, and we do it with precision, purpose, and pride. Here, your ideas are heard, your expertise is trusted, and your impact is visible from the first design review to the moment our products perform in the most demanding environments on Earth and beyond. You'll work alongside intelligent, driven people who care deeply about craftsmanship, collaboration, and doing the right thing, in a culture that values growth, integrity, and human connection as much as technical excellence. If you're looking for a place where your work truly matters, where you can stretch, learn, and build something extraordinary with a team that has your back, Mission Microwave is where your next chapter begins. Apply Now. Mission Microwave is proud to be an Equal Opportunity Employer. We are committed to treating all employees and applicants with respect and dignity, and to maintaining a workplace free from unlawful discrimination and harassment. All qualified applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, or any other characteristic protected by federal, state, or local laws. Mission Microwave maintains a drug-free workplace and conducts pre-employment background checks and, where permitted by law, substance-abuse testing. Many of our roles support U.S. Government programs and require the ability to obtain and maintain a security clearance. Security clearances may only be granted to U.S. citizens. Applicants who receive a conditional offer may be subject to government security investigations and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that Mission Microwave may share your application materials, including your resume and any related personal information or documentation, with its subsidiaries or affiliated partners strictly for the purpose of evaluating you for current or future employment opportunities. Compensation details: 00 Yearly Salary PIf82b6b465e22-8647

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

Description: Keep our engineers building the equipment that powers North America Since 1927, Sherman + Reilly has designed and manufactured the pullers, tensioners, reel trailers, and stringing blocks that electric utility crews trust to string transmission and distribution lines safely across the continent. Behind every machine is a team of mechanical, electrical, and design engineers and behind that team is the CAD and PDM environment that lets them do their best work. That environment is where you come in. We're looking for a CAD/PDM Systems Administrator to be the technical owner of our engineering design toolset: the person who keeps SolidWorks fast, the PDM vault healthy, the workstations dialed in, and engineering data flowing cleanly into the systems that build our products. This is a hands-on, individual-contributor role. You will manage platforms, applications, and data supporting a close-knit team of roughly 20 designers and engineers who depend on you to keep them productive. What you'll own Be the SME. Serve as our single, authoritative expert for SolidWorks, eDrawings, and SolidWorks PDM. The final escalation point for CAD/PDM issues and the trusted advisor to engineering and IT leadership on standards, strategy, and tooling. Administer the CAD software. Deploy and maintain SolidWorks and add-ins across the engineering fleet, roll out upgrades and service packs, standardize settings and templates, and validate every change in a dedicated test environment before it reaches production. Run the PDM vault. Own permissions, workflows, revision and lifecycle schemes, data cards, backups, and replication. Design release processes with Document Control, onboard new users, and keep the vault healthy. Optimize the workstations. Specify, configure, and tune engineering-class workstations for CAD, large-assembly, and FEA workloads. Maintain certified GPU driver, BIOS, and firmware standards and build repeatable deployment images. Own performance and reliability. Establish baselines and benchmarks, monitor stability and crash telemetry, drive root-cause analysis, and plan capacity and hardware refresh cycles ahead of demand. Connect the data. Support the Bill of Material (BOM) process and tooling, maintain CAD/PDM-to-ERP integrations, and close gaps in part numbering, metadata, and BOM structure, automating repetitive tasks through scripting and APIs where it helps. Manage licensing and documentation. Track SolidWorks (SolidNetWork License Manager) and third-party licenses for allocation, renewals, and audit readiness, and keep clear work instructions and standards that the whole team can follow. Support the broader toolset. Be the go-to resource for the other software and specialized hardware the engineering team relies on, including third-party applications and 3D printers. Requirements: What you bring Associate's or Bachelor's degree in Engineering, Engineering Technology, Computer Science, IT, or equivalent experience 5+ years hands-on administering and supporting SolidWorks in a production engineering environment Demonstrated SolidWorks PDM administration experience, vault setup, workflows, permissions, and troubleshooting Working knowledge of engineering-class workstation hardware, GPU/driver management, and Windows optimization Experience supporting the BOM process and an understanding of engineering data structures Strong root-cause troubleshooting across software, hardware, and integration layers Excellent documentation and communication skills, with the patience to support and train non-technical engineers Nice to have Experience integrating CAD/PDM data with ERP or PLM platforms (e.g., SAP) SolidWorks certifications (CSWP/CSWE) or PDM administration certification PowerShell or similar scripting for automation and configuration management Familiarity with manufacturing environments - wire, cable, or heavy equipment a plus Exposure to FEA/simulation workloads and workstation tuning Experience with endpoint management (Intune/Autopilot), Active Directory, and enterprise security tooling Why Sherman + Reilly Your work has weight. The engineers you support design equipment that keeps line crews safe and the grid energized. You'll see the impact on the shop floor, not just on a dashboard. Real ownership. This is the CAD/PDM role. You'll set the standards, make the tooling decisions, and be the expert the team turns to with the autonomy to do it right. A company that lasts. Nearly a century of manufacturing in Chattanooga, and a reputation as North America's leading name in line-stringing equipment. On-site and grounded. You'll work alongside the engineering team in our Chattanooga facility, with occasional time on the manufacturing floor where the products come to life. Planned system maintenance is scheduled outside core hours (Mon-Fri, 6:00 AM-5:00 PM) so our engineers stay productive. Ready to apply? If you're the person who genuinely enjoys making CAD and PDM systems run flawlessly and wants that work to matter we'd like to hear from you. Apply with your resume and a short note about your SolidWorks and PDM administration experience. Sherman + Reilly is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law. Recruiter Notice: Sherman + Reilly does not accept unsolicited resumes from recruiters or staffing agencies. Any unsolicited resumes submitted to our employees, hiring managers, or Human Resources will become the property of Sherman + Reilly, and no placement fee or other compensation will be paid. PIdb2868d8daa2-5137

Description: As a Technical Project Lead (TPL) at Seek Thermal, you will own the technical critical path of one or more new-product programs-the chain of design decisions, integrations, and verifications that determines whether the product works and ships. You will be accountable for design outputs, design reviews, and technical trade-offs-working alongside program management while coordinating engineering across electrical, mechanical, software/firmware, optics, and systems to bring LWIR thermal imaging products from concept through production. The Technical Project Lead will report directly to the SVP of Engineering. This is not a remote Position RESPONSIBILITIES: The Technical Project Lead will own the technical critical path of new product development (NPD) programs through phase gates (concept through DV, PV, and production release)-know at all times which technical task gates the program, and keep the multidisciplinary team focused on it. Ensure design outputs and design-review materials are complete and defensible at every gate, and provide the technical readiness signal for gate sign-off. Make and document technical trade-offs (e.g., image quality, runtime, cost, architecture), with cross-functional approval for scope and design changes. Identify technical risks early, assess their critical-path impact, and drive mitigation of technical exposure across the program. Assign engineering tasks, drive technical status at program meetings in step with program management, and own design documentation and approvals per Seek's design-control process. Drive root-cause and corrective action (8D) when sensor, manufacturing, or integration failures threaten a milestone Ensure PRD requirements are testable and verification is defined before design gates; pull hardware/software integration risks off the critical path early. Provide technical deliverables (SOWs, specifications) for supplier engagements and represent engineering with customers, change control boards, and leadership. SKILLS KNOWLEDGE AND ABILITIES: The Technical Project Lead should possess hands-on embedded systems depth (e.g., RTOS debugging, multicore SoC/MPSoC platforms, I2C/SPI, MIPI CSI, hardware/software co-design) with independent technical judgment. Experience developing products under structured quality and development processes (e.g., functional safety, ASPICE, ISO 9001, or similar) within formal design controls. Fluency with phase-gate development, PRD/requirements management, DV/PV verification, 8D, RASIC, and planning tools (Jira, SmartSheets). Proven technical coordinator of distributed cross-functional teams and a clear communicator-holds a technical position, escalates cleanly, and commits once decided. Preferred: thermal/IR imaging (FPA/ROIC, NUC/AGC, LWIR optics), automotive qualification, semiconductor packaging/yield analysis, Agile/Scrum leadership. Requirements: • Bachelor's or Master's degree in Electrical Engineering, Software Engineering, Mechatronics, Physics, Optical Engineering, or related field. • 5+ years of engineering experience, including 2+ years owning the technical critical path of embedded hardware/software programs, with at least one shipped sensing or electro-optical product taken through production. • Must be a U.S. Person (U.S. citizen, lawful permanent resident, or protected individual) as required by ITAR/EAR export control regulations. PM18 Compensation details: 00 Yearly Salary PI352571a7c6-

Description: Reports To Assistant Manager of Test Engineering Location: Huntsville, AL POSITION SUMMARY: The Test Engineer II serves as a key contributor within the Test Engineering Team at the Huntsville Factory. This role is responsible for supporting, developing, and enhancing test software, hardware, and automation infrastructure, including the use of Python, C#, and MySQL-based solutions to improve test automation, data acquisition, analysis, reporting, and system performance. The Test Engineer II independently executes mid-level engineering projects while mentoring junior engineers and supporting continuous improvement initiatives. ESSENTIAL DUTIES AND RESPONSIBILITIES: Develop, improve, and maintain test software and hardware systems. Support ICT and EOLT system implementation and upgrades Develop and maintain automation scripts, test applications, and data analysis tools using Python and C# to improve test efficiency, data collection, reporting, and process control. Design, maintain, and support MySQL databases used for test data storage, retrieval, analysis, and reporting. Perform in-depth root cause analysis of test failures and implement corrective actions. Read and interpret electrical schematics and debug PCBs to the component level. Lead small-scale improvement projects and collaborate cross-functionally Maintain and repair test fixtures and equipment to ensure uptime and accuracy. Contribute ideas to improve processes and system performance. EXPERIENCE AND EDUCATIONAL REQUIREMENTS: BSEE or related field of study required. 3-6 years of hands-on experience with ICT/EOLT and PCB-level troubleshooting. Intermediate proficiency in C/C++, C#, Python, LabVIEW, CVI, or Visual C. Experience developing test automation, data analysis, and manufacturing support applications using Python and C# Working knowledge of MySQL database design, query development, and data management. Familiarity with both Windows and Linux operating systems. Proficient in Microsoft Excel, Word, and Outlook. SKILLS, KNOWLEDGE & ABILITIES: Strong understanding of analog, digital, and mixed-signal circuits. Effective communicator and proactive team player. Solid multitasking and time management skills. Competency in soldering and rework of through-hole and SMD components. WORK ENVIRONMENT: The work environment characteristics described here are representative of those an associate encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions: The noise level in the work environment is generally quite. PHYSICAL & MENTAL REQUIREMENTS: The physical demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions: Sedentary physical activity requiring reaching, lifting, finger dexterity, grasping, feeling, repetitive motions, talking and hearing. Visual requirement is for close vision, distance vision, peripheral vision and ability to adjust focus. 80% or more time is spent looking directly at a computer. Employee is occasionally required to stand, walk (or otherwise be mobile). Ability to deal with stressful situations as they arise, apply common sense understanding to carry out detailed but uninvolved written or oral instructions, deal with problems involving a few concrete variables in standardized situations. Requirements: PI11501b9ff70e-6799

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 Description This position is ideal for senior-level professionals to join the Finance Systems & Reporting team as a Sr. Finance Reporting Engineer. The Finance Engineer will be reporting to the Director, Global Finance Systems & Reporting based in San Jose, California (US) and would strategically engage with key members of finance function defining and delivering on the enterprise roadmap projects as well as own and help resolve day to day tactical problems and challenges. The Sr. Finance Reporting Engineer will be responsible for designing, developing, and maintaining enterprise financial reporting and analytics solutions. This role focuses on delivering accurate, scalable, and automated reporting capabilities by leveraging SAP technologies, cloud-based data platforms, and business intelligence tools to support strategic decision-making across the organization. Role expectations Lead the financial reporting life cycle end-to-end that includes conducting requirement gathering sessions with business, design the reporting solution, development, deployment, maintenance and training of the reporting solution to broader regional audience. Oversee the design and development for the planning system, OneStream, and be prepared to use other planning and reporting tools used at Align, including ERP, Consolidation Planning, and Business Intelligence software packages. Support financial close activities through data reconciliation, validation, and coordination of data loads for month-end, quarter-end, and year-end reporting. Responsible for designing, developing, and maintaining scalable data pipelines and integration workflows to ensure accurate and efficient data processing across systems. Monitor data flows, task chains, and job performance; implementing data quality controls and validation processes; troubleshooting and resolving data load issues; and optimizing data transformation and loading performance. Develop and troubleshoot a variety of Onestream components that include transformation rules, security models, custom dashboards, reports, business rules, and member formulas, with a focus on enhancing system functionality and efficiency. Lead the collaboration and development efforts for various financial Power BI dashboards required for finance, that will make analytics easier and reporting simplified for business at the same time maintaining data accuracy standards as required for financial reporting. Acting as a liaison between business and IT groups. Work with IT to help them understand business requirements and translate it in technical terminologies for them. Help business understand the technical solutions deployed and train them on how they can effectively use it for their needs. Identifying the gaps with existing solutions in place, finding out solutions to resolve them and work with IT/business to get them implemented. Lead the integration testing and user acceptance testing with business and IT collaboratively. Key Personnel responsible for financial close reporting of critical reports Key person responsible for ensuring financial data integrity and completeness for all finance data that will be needed for financial close reporting. Comply with data security and access control standards, maintains thorough process documentation, and provides production support, including participation in on-call rotations with the offshore team when required. Assist with special projects and ad-hoc requests, as necessary. What we're looking for Requires Bachelor's degree in CS, Information Technology, or a related field 12+ years of experience in Data loading and Monitoring systems to support the Finance organization. Strong understanding of financial reporting, FP&A, close processes, and management reporting. Hands-on experience with SAP Datasphere for data modeling, data warehousing, integration, and governance across SAP and non-SAP landscapes. Strong understanding of SAP RTR business processes, hands on experience working with FI-GL, COPA, AR/AP, Should be a self-starter who is able to work with minimal direction and exercises considerable latitude in determining objectives and approaches to assignments. Hands-on experience working with Onestream planning system or similar planning platforms such as Anaplan, Planful. Hands-on experience with SQL and object-oriented (VB.Net, C#) coding experience is preferred. The candidate will serve as a liaison between the finance user group, corporate report development team, and IT. Should be a team player and possess good interpersonal and communication skills, reflecting an ability to be patient and outgoing with people. Should be highly motivated, result focused, and act with a high sense of urgency. Should possess excellent planning and prioritization skills with the ability to multitask and maintain by adapting to change. Complementary skills Advanced Microsoft Outlook, Word, Excel and PowerPoint skills. Must have the ability to independently create spreadsheets and perform quantitative analysis. Prior experience working with Azure Datalake, S/4 HANA, SAP-ECC or SAP BW is a plus. Pay Transparency If provided, base salary or wage rate ranges are the range in which Align reasonably expects to set a candidate's pay for the posted position. Actual placement depends on the individual skills and experience level of a candidate plus the total compensation and equity across team members. For other locations outside of the primary location, the base salary range will be adjusted geographically. For Field Sales roles, the salary listed is the base pay only and does not include the applicable incentive compensation plan. A cost of living adjustment may be added to base pay for higher cost areas in the U.S. Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience. General Description of All Benefits We are pleased to provide a general description of the benefits Align offers to full-time employees in this position. Family Benefits. Align offers employees and their eligible dependents medical (with a Health Savings Account option for some plan offerings), dental, and vision in accordance with those plans. Align also offers to employees: Discounts on Invisalign and Vivera to employees and their eligible dependents after 90 days of employment Back-up Child/Elder Care and access to a caregiving concierge Family Forming Benefits - Available to Employees, and their spouse or domestic partner, covered under one of Align's health plans Breast Milk Delivery and Lactation Support Services Employee Assistance Program Hinge Health Virtual Physical Therapy - Available to all employees and eligible dependents (age 18+) enrolled in an Align medical Plan Employee benefits. Align offers its employees: Short-term and long-term disability insurance in accordance with those plans. Basic Life Insurance and Accidental Death and Dismemberment. Voluntary Supplemental Life Insurance for Employee, Spouse/Domestic Partner, and Child(ren) are available for purchase in accordance with those plans. Flexible Spending Accounts- Employees may be eligible to participate in a health care account (including a limited health FSA if enrolled in a HDHP), dependent care account, and a pre-tax commuter benefit plan. 401k plan (with a discretionary Company match of 50% up to 6% of eligible earnings up to a maximum match of 3%.). Employer match vests after two years - 25% year one and 100% at year two. Align offers traditional, Roth, and after-tax options. Employee Stock Purchase Program (Employees must work 20 hours or more and be employed on purchase date to be eligible). Paid vacation of up to 17 days during the first full year of employment (currently accrued at the rate of 5.24 hours each pay-period), which carries over to a maximum cap of 30 days. Annual paid vacation time accrual increases based on tenure. Both exempt and non-exempt employees who work 32 hours or more per week receive prorated vacation accrual based on their regularly scheduled work hours and tenure. Sick time is accrued throughout the year at the rate of one hour for every thirty worked. Employees can carry over unused sick leave each year, up to a maximum balance of 80 hours. 11 Company-designated paid holidays throughout the year. If employed for at least 12 consecutive months, Align will grant up to 6 weeks of paid Parental Leave. If employed for less than 12 consecutive months, Align will grant up to 4 weeks of paid Parental Leave. All parental leave must be completed within one year of the birth or placement of the child. Parental leave is in addition to any state and/or local parental leave benefits. Three days of paid bereavement leave. In some cases, due to travel the amount of paid leave may be extended to 5 paid days off. To the extent applicable state or local law offers more generous benefits, Align complies with any such law. Non-exempt employees will receive full pay for up to 10 days of jury duty. Exempt employees will receive their full salary during any week they serve and perform any work. Other insurance such as legal, critical illness, voluntary accident, long-term care, auto, home and pet insurance are available for purchase. To the extent applicable state or local law offers more generous benefits, Align complies with any such law.

Job Description Job Description Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Are you a passionate and innovative engineer looking to help develop state-of-the-art AI and robotics products? Are you eager to make a positive difference in the world? Do you want to work alongside mission-driven and values-focused teammates? Shield AI is just the place for you! The Hivemind Quality team is committed to ensuring our autonomy platform delivers a seamless developer experience and enables customers to build world-class autonomous systems. We focus on integrating, validating, and continuously improving the Hivemind ecosystem-spanning autonomy behaviors, sensor processing, multi-agent coordination, ground-control systems, and embedded platforms. Our mission is to ensure that autonomy developers can efficiently build, test, and deploy autonomous applications that meet real-world mission objectives. We are seeking an experienced Software Integration Engineer passionate about autonomy development. In this role, you will become a power user of the Hivemind SDK, deeply understanding its capabilities and identifying gaps from a customer perspective. You will develop and validate customer use cases, evaluate the ease of use for autonomy developers, and provide actionable feedback to Engineering and Product teams. You will play a critical role in integrating new autonomy capabilities into the platform, assessing feature completeness, and anticipating novel customer workflows and edge cases. This position bridges the gap between engineering development and real-world autonomy applications-ensuring our platform empowers customers to build reliable, mission-ready autonomous systems. What you'll do: Become a systems integration expert for autonomous robotics: Develop deep expertise in our AI-powered autonomy stack. Learn to configure, deploy, and integrate multi-agent systems across simulation, hardware-in-the-loop, and flight platforms. Understand the full system end-to-end-from sensor inputs to autonomous behaviors. Integrate new capabilities into the autonomy stack: Collaborate cross-functionally with development teams to bring autonomy algorithms, perception pipelines, middleware, and platform interfaces into the integrated product. Ensure seamless interoperability between components. Enable platform bring-up and validation: Lead the integration of autonomy software onto new robotic hardware platforms. Configure sensor drivers, communication interfaces, and platform adapters to enable full autonomy stack functionality on prototype and production vehicles. Develop integration tooling & infrastructure: Architect and implement integration frameworks, deployment scripts, and configuration management tools that streamline bringing new capabilities into Software-in-the-Loop (SIL), Hardware-in-the-Loop (HIL), and flight environments. Support cross-platform compatibility: Work with other integration engineers to ensure the autonomy stack operates reliably across all supported platforms, operating systems, and deployment configurations. Identify and resolve integration issues across system boundaries. Analyze system behavior and root-cause issues: Evaluate system logs, telemetry, and rosbag data to diagnose integration defects. Collaborate with developers to isolate issues to specific subsystems and drive resolution. Create analysis tooling to accelerate debugging. Optimize integration workflows and CI/CD: Partner with DevOps teams to streamline integration pipelines, reduce build-to-deploy cycle times, and ensure robust continuous integration of new features. Define integration checkpoints and criteria for release readiness. Validate system requirements and interface contracts: Work with engineers to ensure integrated capabilities meet product requirements and interface specifications. Assist in developing tooling to verify end-to-end system compliance and traceability. Required qualifications: Typically requires a minimum of 7 years of related experience with a bachelor's degree in CS, Comp Eng, Robotics, or a related field; or 6 years and a master's degree; or 4 years with a PhD. Proficiency in programming languages including Python or C++. Experience with autonomous systems or server applications or middleware. Demonstrated experience designing integration workflows, communicating system dependencies, and triaging and reporting integration defects across subsystem boundaries. Proficiency with simulation tools and hardware-in-the-loop (HIL) testing environments. Strong expertise with CI/CD pipelines. Strong problem-solving skills and a proven track record of delivering high-quality software solutions. Excellent communication skills, capable of collaborating effectively across various teams and presenting to customers or technical leadership. Preferred qualifications: Demonstrated experience building complex systems with a strong understanding of software architecture and design principles. Experience with hardware or embedded systems. Expert knowledge of Python. Experience with ROS. Experience with white box testing Familiarity with networking, operating-systems, and radio communications. Experience designing automated tooling for testing for GUI applications. Experience designing automated tooling for testing server applications. Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 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 Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all. The company has developed an artificial intelligence (AI) powered technology stack purpose-built for commercial trucking and the public sector. The company delivers freight daily for its customers across the southern United States using its autonomous technology. In 2024, Kodiak became the first known company to publicly announce delivering a driverless semi-truck to a customer. Kodiak is also leveraging its commercial self-driving software to develop, test and deploy autonomous capabilities for the U.S. Department of Defense. We are looking for an experienced Hardware Quality Industrialization Engineer to join our team. Our manufacturing team is growing quickly and we need someone with a strong quality engineering and supplier management background. This person will be the founding member of the quality and will get to design and build the team from the ground up. In this role, you will: Work internally within Kodiak with engineering, supply chain, operations and our external manufacturing partners to build data driven, repeatable quality processes Evaluate new and existing suppliers to ensure their internal processes and controls meet Kodiak standards Analyze field returns to drive potential design improvements Drive root cause analysis with both internal stakeholders and external partners. Own all corrective actions and improvements at the manufacturer(s) or internally Work with our internal test team to establish test parameters, pass/fail limits and overall test strategy Own our supply vertical(s) based on product type (PCBAs, Harnessing, etc) Work with external partners to ensure they are meeting our compliance and certification requirements What you'll bring: Minimum of 3+ years in Quality, Supplier Quality or Supplier Industrialization Experience Experience in Aerospace, Automotive or Autonomous Vehicles Strong track record of supplier evaluation and management Ability to manage competing priorities across the company Strong experience in statistical quality control analysis Strong experience in problem solving tools (8D, 5 whys, fishbone diagram) What we offer: Competitive compensation package including equity and annual bonuses Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and MetLife (including a medical plan with infertility benefits) MetLife Legal Services, Identity & Fraud Protection, Hospital Indemnity Insurance, Accident Insurance, & Critical Illness Insurance Flexible PTO, 10 paid holidays, and generous parental leave policies Our office is centrally located in Mountain View, CA Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging Long Term Disability, Short Term Disability, Life Insurance Wellbeing Benefits - Headspace through Cigna, Calm through Kaiser, One Medical, Gympass, Spring Health through Cigna, Rula (mental health navigation) Fidelity 401(k) Commuter, FSA, Dependent Care FSA, HSA Various incentive programs (referral bonuses, patent bonuses, etc.) The pay range listed below reflects the base salary in our SF/Silicon Valley location, across several internal levels. Actual starting pay will be based on job-related factors including: work location, experience, relevant training, education, skill level and performance during interview. Total compensation at Kodiak includes base pay, equity, bonus and a competitive benefits package California Pay Range $130,000-$170,000 USD At Kodiak, we strive to build a diverse community working towards our common company goals in a safe and collaborative environment where harassment of any kind is strictly prohibited. Kodiak is committed to equal opportunity employment regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or veteran status, or any other basis protected by applicable law. In alignment with its business operations, Kodiak adheres to all relevant statutes, regulations, and administrative prerequisites. Accordingly, roles that carry more sensitive requirements may be limited to candidates that can satisfy additional scrutiny and eligibility for such positions may hinge on verification of a candidate's residence, U.S. person status, and/or citizenship status. Should the position require, and Kodiak determines that a candidate's residence, U.S. person status, and/or citizenship status necessitate an export license, bar the candidate from the position, or otherwise fall under national security-related restrictions, Kodiak will consider the candidate for alternative positions unaffected by such restrictions, under terms and conditions set forth at Kodiak's sole discretion, or, as an alternative, opt not to proceed with the candidate's application. If applicable, Kodiak may provide visa sponsorship for eligible candidates. We use a third-party AI tool (Endorsed) to assist in the initial screening of applications. As part of the evaluation process, we provide Endorsed with job requirements and candidate-submitted applications. Final hiring decisions are made by our human recruitment team, and no automated system makes the ultimate decision regarding hiring. Certain features of the platform may qualify it as an Automated Employment Decision Tool (AEDT) under applicable regulations. We began using Endorsed on January 1, 2026. You can review the independent bias audit report covering our use of Endorsed here ( -law-144 ). By submitting your application, you acknowledge that your application may be processed by AI systems as part of the screening and selection process. If you have any questions or would like to request a separate review of your application, please contact with "Separate Review Request" in the email subject line.

Job Description Job Description Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all. The company has developed an artificial intelligence (AI) powered technology stack purpose-built for commercial trucking and the public sector. The company delivers freight daily for its customers across the southern United States using its autonomous technology. In 2024, Kodiak became the first known company to publicly announce delivering a driverless semi-truck to a customer. Kodiak is also leveraging its commercial self-driving software to develop, test and deploy autonomous capabilities for the U.S. Department of Defense. We are looking for an experienced Hardware Quality Industrialization Engineer to join our team. Our manufacturing team is growing quickly and we need someone with a strong quality engineering and supplier management background. This person will be the founding member of the quality and will get to design and build the team from the ground up. In this role, you will: Work internally within Kodiak with engineering, supply chain, operations and our external manufacturing partners to build data driven, repeatable quality processes Evaluate new and existing suppliers to ensure their internal processes and controls meet Kodiak standards Analyze field returns to drive potential design improvements Drive root cause analysis with both internal stakeholders and external partners. Own all corrective actions and improvements at the manufacturer(s) or internally Work with our internal test team to establish test parameters, pass/fail limits and overall test strategy Own our supply vertical(s) based on product type (PCBAs, Harnessing, etc) Work with external partners to ensure they are meeting our compliance and certification requirements What you'll bring: Minimum of 3+ years in Quality, Supplier Quality or Supplier Industrialization Experience Experience in Aerospace, Automotive or Autonomous Vehicles Strong track record of supplier evaluation and management Ability to manage competing priorities across the company Strong experience in statistical quality control analysis Strong experience in problem solving tools (8D, 5 whys, fishbone diagram) What we offer: Competitive compensation package including equity and annual bonuses Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and MetLife (including a medical plan with infertility benefits) MetLife Legal Services, Identity & Fraud Protection, Hospital Indemnity Insurance, Accident Insurance, & Critical Illness Insurance Flexible PTO, 10 paid holidays, and generous parental leave policies Our office is centrally located in Mountain View, CA Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging Long Term Disability, Short Term Disability, Life Insurance Wellbeing Benefits - Headspace through Cigna, Calm through Kaiser, One Medical, Gympass, Spring Health through Cigna, Rula (mental health navigation) Fidelity 401(k) Commuter, FSA, Dependent Care FSA, HSA Various incentive programs (referral bonuses, patent bonuses, etc.) The pay range listed below reflects the base salary in our SF/Silicon Valley location, across several internal levels. Actual starting pay will be based on job-related factors including: work location, experience, relevant training, education, skill level and performance during interview. Total compensation at Kodiak includes base pay, equity, bonus and a competitive benefits package California Pay Range $130,000-$170,000 USD At Kodiak, we strive to build a diverse community working towards our common company goals in a safe and collaborative environment where harassment of any kind is strictly prohibited. Kodiak is committed to equal opportunity employment regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or veteran status, or any other basis protected by applicable law. In alignment with its business operations, Kodiak adheres to all relevant statutes, regulations, and administrative prerequisites. Accordingly, roles that carry more sensitive requirements may be limited to candidates that can satisfy additional scrutiny and eligibility for such positions may hinge on verification of a candidate's residence, U.S. person status, and/or citizenship status. Should the position require, and Kodiak determines that a candidate's residence, U.S. person status, and/or citizenship status necessitate an export license, bar the candidate from the position, or otherwise fall under national security-related restrictions, Kodiak will consider the candidate for alternative positions unaffected by such restrictions, under terms and conditions set forth at Kodiak's sole discretion, or, as an alternative, opt not to proceed with the candidate's application. If applicable, Kodiak may provide visa sponsorship for eligible candidates. We use a third-party AI tool (Endorsed) to assist in the initial screening of applications. As part of the evaluation process, we provide Endorsed with job requirements and candidate-submitted applications. Final hiring decisions are made by our human recruitment team, and no automated system makes the ultimate decision regarding hiring. Certain features of the platform may qualify it as an Automated Employment Decision Tool (AEDT) under applicable regulations. We began using Endorsed on January 1, 2026. You can review the independent bias audit report covering our use of Endorsed here ( -law-144 ). By submitting your application, you acknowledge that your application may be processed by AI systems as part of the screening and selection process. If you have any questions or would like to request a separate review of your application, please contact with "Separate Review Request" in the email subject line.

Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . Follow us on LinkedIn, Facebook, Instagram, X and YouTube. Job Description The Senior Software Engineer - Lifecycle Management will work collaboratively with a team to support medical device products from the transfer to production through product end of life. The Engineer will have a technical leadership role for supporting components and subassemblies of the body contouring products and will closely interact with a multi-disciplined Engineering team consisting of electrical, software and mechanical groups. The individual works within cross-functional teams and provides software requirements, design and implementation for current generation software and systems projects. He or she develops a thorough understanding of design requirements to ensure that the system's objectives are properly defined and ultimately achieved. This role is focused on continuous improvement of existing products. This individual must have strong technical skills complemented by great communications and teamwork qualities. Experience in a software development background in a structured/regulated environment such as medical device development is required. Responsibilities Lead and manage small scale projects for on time deliverable. Contribute to requirements definition at the functional level and work with cross functional groups. Perform in-depth data analysis and drive improvements to software or product quality. Design, develop, and support embedded, Windows embedded and desktop applications. Participate in software work product reviews/inspections. Interface, integrate, troubleshoot and debug software and hardware components. Generate required product development documentation including functional specifications and design documents. Execute manual or automated tests for verification and validation of software applications. Design, code and validate software tools for use in the verification and manufacturing of the product. Work with Software Verification, Product Support and Manufacturing to resolve software issues. Drive improvements to process quality. Responsible for performing all duties in compliance with FDA's Quality System Regulation (QSR), ISO13485, the Canadian Medical Device Regulations, and all other international regulatory requirements with which AbbVie complies. Qualifications BS in Software Engineering or equivalent degree and/or experience. Advanced degree desirable. Minimum of 8+ years experience in engineering design and at least 5 years of experience with embedded Windows programming with C# and . NET. At least 3 years of experience in medical devices or similarly controlled software environment preferred. Experience in developing event driven, multi-threaded Windows-based applications using .NET Framework and C# preferred. Required experience in structured software and systems development and integration, including experience in software design methodologies, design patterns, component-oriented software architecture to produce high-quality software applications. Experience with common protocols: RS232, SPI, USB a plus. Knowledge of PID control algorithm. Knowledge of software life cycle processes used in regulated development environments such as IEC 62304. Result-oriented, self-motivated and able to participate as both a team member and an individual contributor. Proficiency in MS Office, including Word and Excel. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our long-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit -us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: -us/reasonable- accommodations.html

Job Description Job Description At Sonatus, we're driving the transformation to AI-enabled software-defined vehicles. Traditional automotive software methods can't keep pace with consumer expectations shaped by the mobile industry-where features evolve rapidly, update seamlessly, and improve continuously. That's why leading OEMs trust Sonatus to accelerate this shift. Our technology is already in production across more than 8 million vehicles on the road today and rapidly expanding. Headquartered in Sunnyvale, CA, with 250+ employees worldwide, Sonatus combines the agility of a fast-growing company with the scale and impact of an established partner. Backed by strong funding and proven by global deployment, we're solving some of the most interesting and complex challenges in the industry. Join us and help redefine what's possible as we shape the future of mobility. Role Summary: We are seeking a Senior Staff AI Engineer with a combination of architectural expertise and production rigor to lead the development of an Agentic Framework to support our AI applications. In this role, you will be the technical anchor for our AI offerings, working to deliver a production-grade Agentic Operating Layer for software-defined vehicles. This is a 50% Architecture / 50% Implementation position. You will be responsible for designing and implementing an extensible architecture that bridges high-velocity vehicle telemetry with sophisticated AI reasoning. We need a leader who is collaborative by nature but decisive in execution-someone who can drive architectural consensus and take full accountability for the performance, safety, and scalability of the resulting system. Responsibilities: Lead the architecture and design of an extensible AI platform. Drive architectural consensus across teams on AI-core decisions to ensure platform unification. Lead the development of agentic orchestration by designing and implementing mission-critical components that allow AI agents to decompose complex goals into actionable sub-tasks. Design and implement a versioned prompt registry allowing for model-agnostic routing and A/B testing of system prompts Engineer the privacy shield for PII redaction and the hallucination verifier to audit AI-generated actions before execution Conduct the full cycle of data modeling and algorithm development, including modeling, training, tuning, validating, deploying, and maintaining services (AI breadth). Strong domain expertise in the AI area, including LLM, RAG, fine-tune large models, traditional ML models, etc. (AI depth) Stay current with industry trends and advancements in data science and AI technologies. (State-of-the-Art) Perform data analysis and offer insights to inform business decisions across multiple domains. Adhere to data privacy and security protocols to uphold the confidentiality of sensitive information. Document and communicate technical designs, processes, and best practices to stakeholders using visualizations and presentations. Take charge of projects, ensuring timely completion in a dynamic work environment. Qualifications: Master's or PhD in Computer Science, Engineering, Mathematics, Applied Sciences, or a related field preferred. Bachelor's degree required. 10+ years of software engineering experience with 4+ years dedicated to shipping production-scale AI/Agentic systems. You have a track record of moving projects from whiteboards to global cloud deployments. Strong programming skills in languages such as Python, Java, or C++, with hands-on experience in relevant frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Expert-level experience with stateful orchestration frameworks (e.g., LangGraph, AutoGen, or similar). You understand the nuances of managing state across complex, multi-step AI missions. Strong experience grounding AI in structured/unstructured Big Data environments. Practical knowledge of traditional databases, streaming analytics, and Vector databases. Proven experience building multi-agent systems and frameworks with adaptive orchestration Deep understanding of Jailbreak Detection (e.g., LlamaGuard) and PII masking techniques to ensure safe LLM interactions in regulated environments In-depth knowledge and understanding of current machine learning algorithms, AI technologies, and platforms. Solid experience in data preprocessing, feature engineering, and model evaluation techniques. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus. Strong knowledge of software development best practices, version control systems, and agile methodologies. Results-driven with a positive can-do attitude and excellent problem-solving skills. Exceptional verbal and written communication skills, with the ability to collaborate effectively with cross-functional teams. Experience in the automotive industry is highly desirable. Experience building multi-tenant "Platform-as-a-Service" (PaaS) models is desirable. Benefits Offered: Competitive compensation and equity program Health care plan (Medical, Dental & Vision) Flexible and Dependent Care Expense program Retirement plan (401k) Life Insurance (Basic, Voluntary & AD&D) Unlimited paid time off per year, 15 paid holidays Hybrid office work arrangement/flexibility Perk Offerings include: Complimentary lunches, snacks, and beverages during on-site working days Wellness benefit allowances (towards gym membership and fitness programs) Internet reimbursement Computer Accessory Allowance Employee Engagement Offerings: Departmental team building and outings Employee Referral Program Culture/Employee Satisfaction Surveys - Feedback matters! The posted salary range is a general guideline and represents a good faith estimate of what Sonatus ("Company") could reasonably expect to pay for a base salary for this position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, geographic location and external market pay for comparable jobs. The Company reserves the right to modify this range in the future, as needed, as market conditions change. Base Salary Pay Range $227,500-$300,000 USD

Job Description Job Description Mill is a waste prevention technology company reimagining what it means to eliminate waste, starting with food. We build smart systems and infrastructure for homes, businesses, and municipalities that transform food scraps from landfill-bound waste into valuable resources, including chicken feed. Tens of thousands of Mill's residential food recyclers are already helping households divert millions of pounds of food scraps every year, paving the way for our upcoming launch of Mill Commercial-the industry's first end-to-end solution for managing, understanding, and preventing food waste in commercial environments (e.g. grocery, restaurants, food services). At Mill, we are passionate about building easy-to-use, beautifully designed technologies that keep food in the food system and out of landfills. About this Role: As a Lead Systems Engineer at Mill, you will be responsible for helping ideate, test and define the next generation of Mill's commercial food recycler technology. We are a small team and you will work cross-functionally with Electrical/Mechanical Engineers, Algorithms and Product Teams to deliver world class industrial products designed to keep food waste out of landfills. This is a hands-on role and best suited for someone who has a history of working on interdisciplinary projects involving thermal, fluids or chemical processes from concept through production. Responsibilities: Owns system performance: Tech lead for test engineers on the experimental optimization and characterization of system parameters such as temperatures, flow rates, and heat transfer to improve energy efficiency and throughput. Collaborates on analysis and helps derive conclusions and next steps from experimental data. Work collaboratively with algorithms and firmware teams to develop control schemes for the system processes to optimize energy consumption and drying time while ensuring reliable function Identify opportunities to improve the system design to deliver improved performance or reliability. Oversee and direct external simulations work such as CFD, thermal and multiphysics models to help improve system design and performance. Determine the system requirements for various components such as fans, condensers, heaters, flow meters and sensors. Collaborates with other systems engineers to ensure these are well documented and have visibility to other stakeholders. Collaborate with mechanical engineers to optimize custom hardware such as mixing paddles, air deflectors and cutting/shredding technology core to the drying and grinding chamber. Collaborate with operations and global supply chain managers on sourcing components that will meet our specifications at production volumes. Collaborate with mechanical engineers to facilitate the transition of prototype parts and bench top proof of concept to high volume manufacturing methods. Qualifications: 5+ years experience working hands on as a systems or in a lead role with significant thermal and fluid handling aspects. Ideal past experience would include taking new processes from concept through to production. An ability to work cross functionally, and interface with a wide range of disciplines to enable cross functional collaboration. Strong communications skills through written, verbal and graphical presentation techniques. Ability to leverage python to analyze time series data is preferred, but other means (R, Ai ect) are also acceptable. Past experience managing cross functional engineering projects spanning a number of technical disciplines including electrical, mechanical, thermal, and controls. Hands-on experience with electromechanical integration and part selection such as blowers, valves, fans and sensors BS and or MS degree in related engineering field preferably with focus on Process, Thermal, mechanical or Chemical Engineering. Masters or higher is preferred. Some prior startup experience is highly preferred. Strong communications skills through written, verbal and graphical presentation techniques Ability to work both independently and collaboratively across the entire company as needed The estimated base salary range for this position is $195,000- $255.000, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs. At Mill, it is not typical for an individual to be hired at or near the top of the range for their role.

Job Description Job Description Hadrian - Manufacturing the Future Hadrian is building autonomous factories that help aerospace and defense companies manufacture rockets, satellites, jets, and ships up to 10x faster and up to 2x cheaper. By combining advanced software, robotics, and full-stack manufacturing, we are reinventing how America produces its most critical parts. We're accelerating our mission with the launch of Factory 3 in Mesa, Arizona, a 290,000-square-foot facility creating 350 new jobs. We are expanding rapidly to support thousands of future hires, launching Hadrian Maritime to expand into naval production, and introducing a Factory-as-a-Service model that delivers complete systems instead of individual parts. Hadrian is backed by leading investors including T. Rowe Price, Lux Capital, Founders Fund, and Andreessen Horowitz, our fast-growing team is united around reindustrializing American manufacturing for the 21st century and beyond. The Role Every engineer at Hadrian ships software. The speed and quality of that work depends directly on the tools, pipelines, and workflows underneath it. The Builder Tools team owns that foundation. As a Software Engineer on the Builder Tools team, you will build and maintain the CI/CD infrastructure, internal tooling, and AI-assisted development workflows that every engineering team at Hadrian depends on. Your users are Hadrian's engineers, and your job is to make them faster. That means owning shared pipeline libraries, reducing friction in the SDLC, making internal systems accessible to AI coding agents, and automating the work that slows teams down. This is a high-leverage role. The systems you build touch every engineer at Hadrian, and the improvements you ship show up immediately in how fast the company moves. What You'll Do Build and maintain CI/CD pipeline libraries that abstract build, release, and deployment events for use across multiple engineering teams Design and build internal tools, APIs, and CLI utilities that reduce developer friction and automate recurring engineering tasks - dependency upgrades, credential rotation, routine maintenance Help make Hadrian's internal systems API-ready for AI coding agents; build harness tooling, context systems, and feedback loops that improve the quality of AI-generated contributions in our codebase Instrument and monitor developer productivity systems; surface bottlenecks and measure the impact of tooling improvements through clear metrics Partner with application development teams to identify needs, implement CI/CD best practices, and drive adoption of new tooling across the org Join the on-call rotation to support systems and services during production incidents; contribute to root cause analyses and postmortems Participate in code reviews and author technical proposals that raise the engineering bar for the Builder Tools team What We're Looking For 5-8 years of software engineering experience, with at least 2-3 years focused on CI/CD, developer tooling, or build infrastructure Hands-on experience building and maintaining complex CI/CD pipelines and build infrastructure - pipeline-as-code, artifact management, multi-environment deployments Strong programming fundamentals in Go, Python, TypeScript, or similar; track record of writing clean, maintainable, well-tested code Experience with Docker and container orchestration (Kubernetes or similar) Solid understanding of source control concepts and practical Git experience Proven ability to troubleshoot complex systems and resolve issues efficiently A developer empathy mindset: you build tools that are easy to adopt, well-documented, and reduce toil rather than create it Bachelor's degree in Computer Science or related field, or equivalent experience What Will Set You Apart Genuine curiosity and hands-on experience with AI coding tools and agents - Copilot, Cursor, Claude Code, or similar - and opinions about what makes them work well in a real codebase Experience building API-ready interfaces or harness tooling for AI coding agents Prior work on developer experience or engineering productivity programs Familiarity with GitOps principles and workflows Experience with static analysis, automated PR pipelines, or code review tooling Background in fast-paced or scaling startup environments Growth & Trajectory The Builder Tools team is being built from the ground up, and this is one of the foundational IC roles on it. As the team grows and the function matures, there are opportunities to specialize in AI-assisted developer workflows, CI/CD platform ownership, or SDK/API development - and to grow into a senior IC or tech lead role as the org scales. Compensation For this role, the target salary range is $120,000- $250,000 (actual range may vary based on experience). This is the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's pay position within the salary range will be based on several factors, including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Benefits for Full-time Employees Medical, dental, vision, and life insurance plans for employees 401k Relocation support may be provided for certain situations, based on business need. Flexible vacation policy Equity ITAR Requirements To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here. Hadrian Is An Equal Opportunity Employer It is the Company's policy to provide equal employment opportunity for all applicants and employees. The Company does not unlawfully discriminate on the basis of race inclusive of traits historically associated with race (including, but not limited to, hair texture and protective hairstyles, such as braids, locks and twists), color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, transgender status, national origin (including, in California, possession of a drivers license), ancestry, citizenship, age, physical or mental disability, height or weight, medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, exercise of reproductive rights, any other basis protected by local, state, or federal laws, or any combination of the above characteristics. When necessary, the Company also makes reasonable accommodations for disabled candidates and employees, including for candidates or employees who are disabled by pregnancy, childbirth, or related medical conditions. Compensation Range: $164.5K - $233K

Job Description Job Description Halo Industries, Inc., a pioneer in manufacturing innovation with light-based technologies, seeks a highly skilled System Integration Engineer to join our dynamic team. Our proprietary advancements replace traditional processes with novel light-based equivalents, offering higher quality, lower cost, and enhanced functionality. As we rapidly expand our operations, we're looking for a team to oversee our prototype systems' integration and verification activities. The Opportunity We are seeking a highly motivated and skilled Senior System Integration Engineer - Test & Validation to join our dynamic team. This role is crucial for the successful integration, testing, and deployment of our cutting-edge laser-based wafer manufacturing systems. The ideal candidate will have deep hands-on experience with complex electro-mechanical and optomechanical hardware, including lasers, motion stages, and control electronics, and will be responsible for ensuring that all system components perform to specification through rigorous test and validation. This position requires a strong understanding of system-level hardware integration, and test automation, along with the ability to diagnose issues across electrical, mechanical, and optical domains. This is a hardware-focused documentation, test, and validation role - ideal for an engineer passionate about working directly with instrumentation, sensors, and high precision actuators to drive reliability and performance improvements in a fast-paced manufacturing environment. Responsibilities Lead the hardware integration and validation of complex laser-based wafer manufacturing systems, including optical, mechanical, electrical, and precision motion subsystems. Develop and execute detailed hardware test procedures - from subsystem acceptance tests to system-level validation - ensuring performance meets design and reliability requirements. Perform hands-on testing, troubleshooting, and root-cause analysis across electrical, mechanical, optical and controls domains. Work closely with technicians to ensure consistent build quality, accurate documentation, and reproducible test processes. Design and specify test setup, instrumentation and data acquisition requirements needed to validate system functionality and performance. Collect, analyze, and interpret test data, identifying trends, deviations, and opportunities for design or process improvements. Contribute to the development of automation tools for data collection and test execution (LabVIEW, Python, or equivalent). Collaborate with cross functional teams - including mechanical, electrical, optical, and software engineers to resolve integration and performance issues. Contribute to design and readiness reviews, providing feedback focused on hardware testability, manufacturability, and serviceability. Requirements Basic Qualifications Bachelor's degree in Mechanical Engineering, Optical Engineering, Electrical Engineering or a related field. 5+ years of experience in hardware system test, validation, or system engineering within semiconductor equipment, laser systems, robotics, or precision automation. Demonstrated ability to troubleshoot complex hardware systems, isolate issues, and drive corrective actions in collaboration with design engineers. Proven ability to plan, execute, and document hardware validation efforts from concept through system acceptance. Strong hands-on background with electromechanical systems, including controls, sensors power electronics, and optical assemblies. Experience developing and maintaining ATP documents, test procedures, and build instructions for complex systems. Proficient with instrumentation and diagnostics tools (Oscilloscope, DMM, DAQ's, interferometers, alignment cameras, etc.) Preferred Qualifications Experience in a hands-on lab or factory setting, working alongside technicians to build, test and qualify hardware systems. Experience with laser systems and optical alignment, including beam path setup, diagnostics, and calibration. Familiarity with semiconductor wafer manufacturing equipment, process flow, or fab environment practices (vacuum, cleanroom or safety protocols). Working knowledge of hardware test automation using tools for system characterization. Exposure to motion control and optomechanical systems, including tuning, encoder calibration, and vibration analysis. Experience developing or executing Acceptance Test Procedures (ATP's) and formal system-level validation plans. Proficiency with data analysis and visualization for performance trending and reliability studies. Familiarity with data-acquisition and control software (LabVIEW, Python, MATLAB, or similar) for test automation and data logging. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Paid Time Off (Vacation, Sick & Public Holidays) Life Insurance (Basic, Voluntary & AD&D) Family Leave (Maternity, Paternity) Free Food & Snacks Stock Option Plan Short Term & Long Term Disability Base salary $ 150,000 - $ 165,000 Additional Information We are committed to creating an inclusive workplace where all team members feel valued and supported. We welcome applicants from diverse backgrounds, including those from underrepresented communities in STEM. If you meet most of the qualifications and are excited about this opportunity, we encourage you to apply.

Senior Lead AI Engineer (MLXT) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. As a Senior Lead AI Engineer, you will drive critical technical initiatives that shape the future of enterprise AIML infrastructure targeted to transform the business analysis experience in a highly regulated environment. You will play a pivotal role in modernizing our core Analyst & AIML workflow orchestration layer and user interface, integrating frontier generative AI capabilities and self-serve tooling to enable no-code/low-code, well-governed model development for business domain experts. In this role, you will: Modernize Workflows: Advance the orchestration layer and UI with generative AI capabilities and self-serve tooling to democratize AI development through governed, low-code/no-code tools for business domain experts. Build Agentic-Driven Infrastructure: Modernize our platform services with agentic infrastructure that is reliable, scalable, secure, and seamlessly adheres to enterprise guardrails. Drive AutoML Innovation: Scale enterprise-grade managed AutoML offerings for tabular and time-series data to radically reduce solution time-to-market from weeks to days. Engineer AI-Driven Controls: Evolve the core component marketplace by engineering cutting-edge, automated governance frameworks The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Job Description Company Description The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts is a part of the global Bosch Group (), a company with over 70 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design. As part of the global research organization, our AI research in Silicon Valley focuses on Foundation Models and Gen AI, Human-AI Collaboration and Trustworthy AI, AI for Advanced Driver-Assistance Systems (ADAS) and Autonomous Systems, AI Systems Engineering, and Industry AI. We develop scalable, intelligent, and trustworthy AI solutions to enable inspiring user experiences for Bosch products and services in application areas such as ADAS, smart manufacturing, enterprise AI, healthcare, smart home, and building solutions. Originating from Bosch AI research in Silicon Valley, our Vision and Language AI Group advances cutting-edge research in two core AI areas: large language models (LLMs) and 3D computer vision. In the LLM space, we focus on AI agents, retrieval-augmented generation, and effective adaptation of LLMs to Bosch domain-specific applications. In 3D vision, we advance spatial intelligence with 3D world models that perceive, reconstruct, and simulate the physical world, enabling reliable embodied control and sim-to-real transfer. By integrating these two areas, we aim to build intelligent systems that can perceive, reason, and communicate seamlessly across both language and spatial environments. We also actively collaborate with leading groups in academia and industry to promote research ideas and publish research findings in internationally renowned conferences and journals such as ACL, EMNLP, CVPR, ICCV, ECCV, NeurIPS, AAAI and CoRL. Job Description Responsibilities: Design, build, and evaluate agentic AI systems that can plan, reason, act, and collaborate across tools and environments, including single- and multi-agent setups for complex, long-horizon tasks. Develop robust agent harnesses and evaluation frameworks covering end-to-end testing, regression analysis, trace logging, replayability, and metrics for success, cost, latency, robustness, and safety. Implement self-improving agent loops using reflection, critique, self-debugging, and iterative optimization strategies driven by agent experience, execution traces, and automated feedback. Architect and optimize agent memory systems, including short-term and long-term memory, retrieval-augmented generation, summarization, compression, forgetting policies, and privacy-aware retention. Enable reliable deployment of agents on constrained and edge environments, focusing on model/runtime optimization, partial or offline execution, secure tool-use, and seamless edge-cloud coordination. Qualifications Basic Qualifications Bachelor or master's degree in computer science or engineering Strong software engineering skills in Python Hands-on experience with LLMs and agentic systems, such as tool-using agents, planner-executor patterns, multistep reasoning pipelines, RAG systems Solid understanding of ML fundamentals and practical model usage, including prompting, evaluation, and error analysis Ability to design experiments and interpret results, including ablations, statistical thinking, clear success criteria and measurable KPIs Strong communication and documentation skills including clear write-ups, reproducible experiments, and crisp technical presentations Preferred Qualifications 3+ years experiences in industrial research. Experience with one or more of the following topics: Agent frameworks Structured generation Agent memory management Self-improving agents LLM fine-tuning & reinforcement learning Model optimization for edge Harness engineering Hands-on experience on production of AI systems Additional Information We offer a competitive base salary for this position with a range in US-California of $165,000 - $180,000 along with an annual corporate bonus, and a long-term incentive bonus designed to reward sustained impact and contribution over time. Within the salary range, the individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. Your well-being matters at Bosch! We offer a a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. Your Recruiter can share more details for this position during the interview process. Learn more about our full benefits offerings by visiting: Equal Opportunity Employer, including disability / veterans.

Job Description Job Description Company Description Arista Networks is an industry leader in data-driven, client-to-cloud networking for large data center, campus and routing environments. What sets us apart is our relentless pursuit of innovation. We leverage the latest advancements in cloud computing, artificial intelligence, and software-defined networking to provide our clients with a competitive edge in an increasingly interconnected world. Our solutions are designed to not only meet the current demands of the digital landscape but to also anticipate and adapt to future challenges. At Arista we value the diversity of thought and perspectives that each employee brings to the table. We believe that fostering an inclusive environment, where individuals from various backgrounds and experiences feel welcome, is essential for driving creativity and innovation. Our commitment to excellence has earned us several prestigious awards, such as Best Engineering Team, Best Company for Diversity, Compensation, and Work-Life Balance. At Arista, we take pride in our track record of success and strive to maintain the highest standards of quality and performance in everything we do. Job Description We are seeking a highly experienced and strategic Senior Electrical Manufacturing New Product Introduction (NPI) Engineer to lead the manufacturing readiness and transfer for our most complex data center networking equipment, including high-speed switches, routers, and optical transport gear. This role requires deep technical expertise in high-speed signal integrity (SI), high-density electronics, exceptional cross-functional leadership, and a proven track record of successfully bringing multiple high-volume, high-quality products from design concept to mass production within aggressive data center deployment schedules. Who You'll Work With As an Electrical NPI Engineer, you will partner with the HW/Mech/Thermal Engineering team on new product development, manufacturing readiness for the high performance network equipment. What You'll Do You will serve as a critical link between Design, NPI, and full scale production, ensuring seamless transition through the product lifecycle. You will collaborate with cross functional teams to develop manufacturing processes, perform DFX review, manage product lifecycle activities, and provide sustaining support for the Arista products. Key Responsibilities Strategic NPI Leadership & Network Readiness: Lead and own the entire manufacturing readiness process for complex, next-generation data center networking products (e.g., core/spine switches, specialized line cards). Drive strategic planning for production line layout, capacity modeling, and capital equipment procurement, ensuring rapid ramp-up to support hyperscale demand. Define and maintain the manufacturing technology roadmap, identifying and implementing new processes and equipment required for advanced packaging of ASICs/FPGAs, high-current components, and extremely high-layer count PCBs critical for signal integrity. Advanced Design for X (DFX) & Optical/Thermal Solutions: Function as the DFX expert, leading in-depth design reviews (DFM, DFA, DFT) and influencing product architecture to maximize yield, quality, and cost-efficiency at high volume.Drive specialized DFX considerations for high-speed interconnects (400G/800G+), optical modules (QSFP/OSFP), and sensitive RF paths. Expertise in managing the manufacturing and testing of complex thermal solutions is essential, particularly advanced water cooling/liquid cooling systems (e.g., cold plates, manifolds) necessary for high-TDP network processors. Drive component selection and supplier process audits with a focus on high-reliability components and precise clocking/timing circuits. Process and Functional Test System Robustness (Specialized): Architect and implement robust manufacturing processes and System-Level Functional Test (FT) strategies (e.g., traffic generation and analysis, full line-rate testing, high-temperature burn-in) that achieve Six Sigma-level quality standards. Oversee the full lifecycle of Automated Test Equipment (ATE) development, ensuring precise measurement of BER (Bit Error Rate) and signal quality while aligning with fleet deployment requirements and system diagnostics. Provide expert-level Sustaining Engineering guidance to resolve persistent, complex issues related to signal integrity degradation, optical module failures, and system-level performance loss post-launch. Qualifications Education: Bachelor's degree in Electrical Engineering, Manufacturing Engineering, or a related technical discipline. Master's degree preferred. Experience: 5+ years of progressive experience in a manufacturing engineering role, with a minimum of 3 years dedicated to NPI and successful high-volume product launches specifically within the data center networking equipment industry (e.g., switches, routers, accelerators) Technical Mastery: - Expert-level knowledge of high-layer count PCBA manufacturing, specialized soldering/rework for BGA/FC-BGA components, and process control for large-format electronic boards. - Proven track record in designing and qualifying production Functional Test (FT) systems and managing test coverage for complex network systems. - Demonstrated expertise in applying advanced statistical and quality tools (PFMEA, SPC, DOE). Preferred Skills & Attributes Direct experience managing manufacturing processes at global Contract Manufacturers (CMs) or ODMs specializing in complex networking/telecom equipment. Practical, hands-on experience in manufacturing and testing of systems incorporating water cooling, liquid cooling, or immersive cooling solutions for network processors. Experience with specialized test equipment and analysis techniques related to Signal Integrity (e.g., TDR, VNA), optical power, and high-speed data transmission. Fluency in advanced data analysis tools (e.g., JMP, Python for statistical analysis). Exceptional leadership, communication, and negotiation skills, with the ability to influence technical and executive stakeholders in a fast-paced technology environment. Direct experience managing manufacturing processes at global Contract Manufacturers (CMs) or ODMs specializing in complex networking/telecom equipment. Compensation information The new hire base pay for this role has a salary range of $140,000 to $175,000 and in addition certain roles may also be eligible for discretionary Arista bonuses and equity. Arista offers different pay ranges based on work location, so that we can offer consistent and competitive pay appropriate to the market. The actual base pay offered will be based on a wide range of factors, including skills, qualifications, relevant experience, and work location. US-based employees are also entitled to benefits including medical, dental, vision, wellbeing, tax savings and income protection. The recruiting team can share more details during the hiring process specific to the role and location. Additional Information Arista Networks is an equal opportunity employer. Arista makes all hiring and employment-related decisions in a non-discriminatory manner without regard to race, color, religion, sex, sexual orientation, gender identity, national origin or any other factor determined to be unlawful under applicable federal, state, or law law. All your information will be kept confidential according to EEO guidelines.

Job Description Job Description About Subsense Subsense is a deep-tech company developing the world's first non-surgical, bidirectional brain-computer interface powered by plasmonic and magnetoelectric nanoparticles. Our mission is to unlock direct communication between the human brain and AI - starting with medical applications such as stroke recovery and moving toward cognitive enhancement for healthy users. Headquartered in Palo Alto, Subsense brings together leading scientists and engineers to redefine the future of human-machine interaction. The Opportunity We are seeking a highly hands-on Research Engineer to lead and execute multidisciplinary experiments at the intersection of physics, engineering, nanotechnology, and biology. This role is centered on experimental development. You will design experiments, build and operate laboratory systems, coordinate complex studies across multiple teams, and translate experimental results into actionable engineering improvements. You will spend a significant portion of your time in the lab running experiments, troubleshooting systems, collecting data, and working closely with scientists and engineers to advance our technology platform. The ideal candidate enjoys moving quickly between theory and practice, thrives in a fast-paced startup environment, and is excited about solving difficult problems through experimentation. Key Responsibilities Design, plan, and execute experiments to evaluate new technologies, devices, materials, and biological systems. Lead day-to-day laboratory activities, including setup, operation, troubleshooting, and optimization of experimental platforms. Coordinate multidisciplinary experiments involving hardware, software, optics, electromagnetics, nanomaterials, and biological systems. Work closely with scientists and engineers across departments to develop experimental plans, protocols, and success metrics. Build, modify, and maintain research platforms, prototypes, and test systems. Develop experimental procedures and ensure repeatable, high-quality data collection. Analyze experimental data and identify trends, opportunities, and next-step investigations. Drive rapid iteration cycles by translating experimental findings into design improvements. Support biological experiments involving cell cultures, neural systems, and related laboratory workflows. Collaborate with software and data teams to automate experiments, data acquisition, and analysis pipelines. Document experimental methods, results, and technical recommendations. Present findings to internal teams and contribute to technical strategy discussions. What You'll Bring MS or PhD in Physics, Electrical Engineering, Mechanical Engineering, Bioengineering, Neuroscience, Applied Physics, or a related field. 0-5 years of industry, academic, or research laboratory experience. Strong experimental mindset with demonstrated experience designing and executing complex experiments. Experience operating laboratory equipment and developing experimental workflows. Ability to troubleshoot multidisciplinary systems spanning hardware, software, and instrumentation. Strong quantitative and analytical skills, including data analysis in Python, MATLAB, or similar environments. Experience with scientific instrumentation, sensors, optics, electromagnetics, control systems, or related technologies. Comfortable working with uncertainty and rapidly evolving research objectives. Excellent communication and collaboration skills in cross-functional environments. Startup mindset-curious, adaptable, hands-on, and highly execution-oriented. Preferred Qualifications Experience with neurotechnology, neuroscience, biomedical devices, or bioelectrical systems. Experience working with cell culture, biological assays, or laboratory research environments. Familiarity with magnetic systems, electromagnetics, optics, photonics, or nanoparticle-based technologies. Experience developing automated experimental platforms and data acquisition systems. Experience with COMSOL, MATLAB, Python, LabVIEW, or similar scientific computing tools. Why This Role Is Different This is not a desk-based design role. You will be in the lab daily, working directly with experiments, instrumentation, and multidisciplinary teams to advance breakthrough neurotechnology. Success in this role comes from curiosity, creativity, rigorous experimentation, and the ability to turn complex experimental observations into engineering progress. Subsense is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. 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.