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Job Description Job Description Salary: $93,600-$135,000 Position Overview PLCs Plus International is seeking a lead senior systems programmer / manager for the development of SCADA applications and PLC coding. This will include Control Room Human Machine Interface (HMI), Operator Interface Terminal (OIT), Programmable Logic Controllers (PLC), SCADA Historians, and Remote Alarm Systems. Please refer to Required and Desired Skills sections for details. Job Requirements Responsibilities: PLC programming and deployment OIT application development and deployment HMI application development and deployment System commissioning and troubleshooting Project estimating Establish and maintain professional working relationship with customers and peers in a leadership / supervisory role Required Skills and Experience: PLC Programming utilizing Rockwell Logix5000 & Logix500 OIT application development for Rockwell utilizing FactoryTalkViewME HMI Development utilizing Wonderware System Platform (ArchestrA) 3.1 and InTouch 10.1 Ability to provide estimate for services to customers on behalf of the company as well as obtain change orders when necessary Possess problem solving, planning and organizing skills to develop long-range plans to solve complex problems and recommend actions Possess good analytical and communication skills to effectively convey ideas, both written and oral Desired Skills and Experience: Oil and Gas Experience Water and Wastewater Experience Food and Beverage Processing Experience Alternative Fuels Experience PLC Programming Utilizing: GE Proficy for GE VersaMax, 90-30, & RX3i OIT Application development utilizing GE Proficy programming software Modicon Unity & ProWorx32 SCADAPack using Telepace Studio Ignition Experience Iconics Experience Database solutions SCADA historical work utilizing Wonderware Historian (InSQL) Specialty applications Wired and wireless industrial communications solutions Electrical design and engineering Design, inter-connection and configuration of PLCs & DCS system Minimum Qualifications: Advanced working knowledge of various PAC/ PLC integration and SCADA programming languages and the programming and configuration of various related software vendors Knowledge of industry standard field protocols and corresponding security requirements, data requirements, data structures, and data flow of control systems to be automated Working knowledge of computer software in engineering and estimating programs including use of spreadsheet and work processing systems Must possess a current and valid Drivers License with record acceptable to the automobile insurance carrier. About the Company: PLCs Plus is an industry leader in the Western United States, currently serving CA, ID, TX, NM, and NV. Our focus is in Programable Logic Controllers (PLC), Human Machine Interface (HMI), and Supervisory Control and Data Acquisition (SCADA). Our services span the control systems spectrum from end-devise to the corporate database. We specialize in: HMI and SCADA architecture and system design PLC and DCS layout, system design, and configuration PLC programming HMI application development Instrumentation Electrical Design Engineering Database solutions Preventative maintenance Specialty applications PLCs Plus prides itself in the ability to provide: Competitive Salaries Vacation and Sick Pay Paid Holidays Comprehensive Medical Coverage with the option of a Flex Benefits (125) Plan Dental, Vision, Short Term Disability, Long Term Disability, and Life Insurance paid by employer 401K Training and Mentorship Join a long established and expanding organization that offers and promotes working in a team environment with opportunity for growth.

Job Description Job Description Senior Consultant, CX Research & Survey MethodologyAbout Technical Assent Technical Assent is a federal consulting firm that helps government organizations improve services, programs, and mission outcomes through human-centered design, customer experience, research, analytics, and practical implementation support. We work with federal clients to understand customer and employee needs, measure experience, generate actionable insights, and help leaders make evidence-based decisions. Position Summary Technical Assent is seeking a Senior Consultant to lead customer experience, employee experience, survey research, and applied social science research projects for federal clients. This role is designed for an experienced research professional who can independently develop research plans, design survey instruments, guide sampling and analysis approaches, oversee survey implementation, interpret findings, and advise clients. The successful candidate will combine applied research judgment with practical consulting delivery. They should be comfortable designing defensible research approaches, working hands-on with survey and analytics platforms, leading client conversations, supervising junior staff, and translating data into clear insights and recommendations. This is not an academic research role. It is an applied consulting role for someone who can use strong research methods to help government clients make better decisions, improve services, and measure customer, employee, and stakeholder experience. Responsibilities The Senior Consultant will lead and support federal CX, EX, and applied research projects by performing responsibilities such as: Designing research plans for customer experience, employee experience, program evaluation, stakeholder research, and public-sector service improvement projects. Developing survey instruments, sampling approaches, analysis plans, reporting frameworks, and data collection strategies. Advising clients on research design, survey methodology, question wording, response options, sampling, weighting, statistical testing, qualitative coding, and interpretation of results. Leading or overseeing survey configuration, testing, fielding, monitoring, and quality assurance in Qualtrics and related platforms. Translating client goals and program questions into practical research designs and measurable constructs. Developing data analysis approaches that may include descriptive statistics, cross-tabulations, segmentation, trend analysis, statistical comparisons, weighting, open-ended response coding, and mixed-methods synthesis. Creating or overseeing creation of dashboards, reports, briefings, codebooks, data files, and executive-ready findings using tools such as Excel, Qualtrics dashboards, Power BI, Tableau, or similar platforms. Interpreting quantitative and qualitative findings and translating them into clear implications, recommendations, and decision support for federal leaders. Leading client meetings, research design discussions, working sessions, briefings, and status updates. Managing research workstreams, coordinating junior staff, reviewing deliverables, and ensuring work is accurate, useful, and delivered on schedule. Supporting project managers with scope, schedule, level-of-effort planning, risks, assumptions, and delivery quality. Helping develop reusable methods, templates, quality control practices, and documentation standards for Technical Assent's research and survey work. Supporting proposals, capture efforts, past performance writeups, solutioning, or technical approaches from time to time. Contributing to a consulting culture focused on practical insight, methodological rigor, client trust, and measurable mission impact. Required Qualifications At least 5 years of directly relevant experience in survey research, customer experience research, employee experience research, social science research, market research, program evaluation, user research, public policy research, or related applied research work. Experience designing and executing applied research studies from research questions through data collection, analysis, reporting, and recommendations. Hands-on experience with Qualtrics, including survey design, configuration, testing, distribution, data exports, and/or dashboards. Experience developing survey instruments and advising on question wording, logic, response scales, respondent experience, and data quality. Experience developing or implementing sampling plans, analysis plans, statistical testing approaches, weighting approaches, qualitative coding methods, or mixed-methods research designs. Experience analyzing survey or research data and developing clear findings, implications, and recommendations. Proficiency with Microsoft Excel and experience using Qualtrics dashboards, Power BI, Tableau, or similar reporting and visualization tools. Ability to lead client conversations and explain research methods, findings, tradeoffs, risks, and recommendations clearly to non-technical audiences. Ability to manage research workstreams, review the work of junior staff, and ensure deliverables are accurate, well-structured, and client-ready. Strong written communication skills, including experience developing reports, briefings, research plans, findings summaries, or client deliverables. Strong consulting skills, including responsiveness, judgment, organization, and comfort working across multiple projects or stakeholders. U.S. citizenship. Ability to obtain and maintain a public trust clearance or security clearance, if required. Preferred Qualifications Master's degree or PhD in social science, psychology, sociology, public policy, statistics, survey methodology, industrial/organizational psychology, human-centered design, market research, data analytics, or a related field. Direct experience supporting federal government clients. Experience with customer experience, employee experience, voice-of-customer, human-centered design, service design, or public-sector program evaluation. Experience with Medallia, Alchemer, SurveyMonkey, Forsta, Confirmit, or other survey or VOC platforms. Familiarity with Section 508 accessibility, privacy requirements, data protection practices, or FedRAMP environments. Familiarity with OMB/PRA requirements or federal survey clearance processes. Experience using SPSS, R, Python, SQL, or other statistical/data analysis tools. Experience developing codebooks, data dictionaries, data files, weighting documentation, dashboards, and recurring reporting products. Experience supporting proposals, capture, pricing assumptions, past performance narratives, or technical solution development. Experience mentoring junior researchers, analysts, or consultants. Success Profile A strong candidate for this role is someone who: Can design a defensible research approach without overcomplicating the work. Understands both methodological rigor and the practical realities of federal consulting delivery. Can lead a client / stakeholder community from a broad problem statement to a clear research plan, useful findings, and actionable recommendations. Is comfortable reviewing survey logic, data files, dashboards, statistical outputs, and narrative reports. Can mentor junior staff while still working hands-on as the project requires. Communicates research findings in a way that helps leaders make decisions. Work Environment and Travel This role may be remote or hybrid, depending on project and company needs. Limited travel may be required, typically less than 10%. Compensation The expected salary range for this role is $100,000 to $130,000, depending on experience, qualifications, location, and level. The Company Technical Assent is passionate about services - in government, business, and not-for-profit. We design exceptional service experiences, engineer them to be robust, and deliver real capability and business outcomes for our clients. You will be working on government programs that have strategic importance to our client. Your team will work IN and ON the client's core mission - helping them to deliver their services day-to-day while simultaneously looking for opportunities to improve. Our work is Driven by Evidence, Grounded in Understanding, and Focused on Impact. A Little About Our Culture We look for these attributes in our teammates. Our team combines the creative and the pragmatic to deliver the results that matter most to our clients. We see beauty when art and science come together. We seek self-starters, people who are confident in tackling challenges independently and bringing this to high-performing teams. We continually seek feedback from our customers and employees, looking for opportunities to grow. We are a small company which gives you an essential voice in shaping our culture. You will help grow our culture, and you will grow from the experience, too. You will be part of a team to take an improvement concept and transform it into a capability - an asset that provides measurable value to our client's mission. The team will work with users, prototype, develop, and deliver new capabilities. We hold ourselves accountable to impacting outcomes. Additional Information: Come as you are - Technical Assent is committed to a workplace free of discrimination . click apply for full job details

Job Description Job Description Job Title: Class 1A, Controls Technician & Programmer Department: Engineering and Maintenance Reports To: Engineering & Maintenance Project Manager Position Type: Full-time, Regular Shift: Day, Swing, Night Location: Watsonville, CA FLSA Status: Non-exempt, Union Company Overview Since 1868, the Martinelli family has been producing award-winning apple juice. Located in the cool California Central Coast, the fertile Pajaro Valley produces the most flavorful apple varieties in the world. Since winning its first gold medal in 1890, Martinelli's has received more than fifty gold medals for product excellence. Distribution of Martinelli's Gold Medal products now extends to every state in the U.S. and globally. Job Summary The Controls Technician/Programmer is responsible for maintaining, troubleshooting, and optimizing the electrical control systems that support production equipment across the facility, including bottling lines and the filter department. This role provides technical expertise in PLC and HMI systems (primarily Allen-Bradley, as well as Siemens, Omron, and vendor-specific platforms), VFDs, servo drives, motion controls, and SCADA/industrial network systems to ensure reliable and efficient operation of machinery. The Controls Technician/Programmer will lead controls-related projects, including system modifications, panel adjustments, programming, and HMI interface development. They collaborate closely with engineering, maintenance, and production teams to integrate new or modified control systems seamlessly into existing equipment, driving continuous improvement and automation efficiency. Key responsibilities include diagnosing hardware and instrumentation issues, performing calibration and functional testing, maintaining accurate digital documentation, and supporting system upgrades to improve equipment performance, reliability, and safety. This position is critical to ensuring optimal operation of automation systems, supporting process improvements, and enabling high-performance production outcomes. Job Functions Troubleshoot and maintain all production electrical controls related equipment, systems and OT network devices to ensure maximum operational equipment effectiveness OEE. Assist in the proper operation and maintenance of Programmable Logic Controllers (PLC), Supervisory Control and Data Acquisition (SCADA), etc. Support the research, design, development, and installation of electrical control systems for production equipment and machinery. Contribute to managing projects to ensure they are completed on time, within budget, and meet customer requirements. Help maintain digital documentation of control systems, including programs, modifications, electrical design, schematics, and drawings. Stay updated on control hardware and software obsolescence and assist in necessary updates. Contribute to the establishment and maintenance of automation processes. Support a team of controls and programming technicians/mechanics in their daily tasks. Assist with organizing and participating in training sessions for the control team, maintenance personnel, and operators to ensure proper hardware and software usage. Provide regular updates and reports to senior management on the performance of the controls and programming team, including training progress, project updates, budget status, and any issues or risks. Collaborate with Maintenance Management and Production Supply Planner to help schedule manpower and resources for effective production and maintenance outcomes. Respond promptly to requests or emails from internal and external stakeholders, ensuring alignment of objectives, requirements, and project timelines. Assist other department heads in implementing strategies to improve process efficiency. Follow and help implement policies and procedures to ensure consistent and effective controls and programming practices across the organization. Adhere to Collective Bargaining Agreement, Plant Rules, Code of Safe Work Practices, and other applicable policies. Perform other assigned duties and responsibilities as directed by Management. Job Qualifications Minimum of five (5) years of experience working with industrial automation technology in a production or manufacturing environment. Proficiency with PLCs, primarily Allen-Bradley (ControlLogix, CompactLogix, RSLogix, Studio 5000), with working knowledge of Siemens or other vendor systems. Hands-on experience configuring and designing HMI systems, such as Allen-Bradley FactoryTalk View or Wonderware/AVEVA. Strong ability to troubleshoot, diagnose, and resolve complex control system issues, including hardware, software, and communication networks. Familiarity with Vision Systems (Cognex, Keyence) and integration with automation systems. Experience with motion control systems and actuators, including Allen-Bradley Servos, SEW, and Rexroth. Knowledge of VFDs, servo drives, and motion controllers for process and equipment optimization. Basic understanding of SCADA systems, industrial communication protocols (EtherNet/IP, Profibus, DeviceNet, Modbus), and control networks. Awareness of industry standards such as UL and CE for electrical control systems. Strong communication skills with the ability to explain technical concepts to colleagues across all organizational levels. Collaborative team player who actively participates in problem-solving and supports knowledge sharing within the group. Willingness to contribute to root cause failure analysis investigations and support continuous improvement initiatives. Ability to train maintenance personnel and operators on proper control system usage and troubleshooting. Strong organizational skills with the ability to prioritize maintenance activities, coordinate resources, and align with production needs. Commitment to following established safety protocols, procedures, and contingency plans to mitigate risks. Capable of performing relevant preventive and corrective maintenance activities on control systems and related electrical equipment. Must meet employment eligibility in the U.S. Be at least 18 years of age. Education Bachelor's degree in electrical engineering (preferred). Preferred Skills Experience in food manufacturing or agricultural goods processing industry. Bilingual/biliterate in English/Spanish. Company Standard Knowledge, Skills, and Abilities Ability to communicate effectively, both orally and in writing. Ability to establish and maintain effective and cooperative working relationships with Company staff and others contacted in the course of work. Ability to assume responsibility and exercise good judgment in making decisions within the scope of authority of the position. Ability to readily adapt to changing priorities and take direction from more than one staff member. Ability to think and work effectively under pressure and accurately complete tasks within established times. Ability to work in a fast-paced environment, to prioritize tasks, meet multiple deadlines and ensure that work is accomplished in the time frames required. Ability to be highly organized and provide careful attention to detail and accuracy. Ability to exercise individual initiative and discretion in confidential matters and to respect confidential matters. Physical Demands and Working Environment The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of the job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Ability to pass a background check, physical, and drug screen. Ability to stand and/or sit in front of and operate a computer for extended periods of time. Ability to bend, lift and carry objects of varying size weighing up to 40 pounds. Expected to be highly familiar with production operations, and to regularly visit all significant Company operations. Work is performed outdoors, production, manufacturing, and warehouse facilities. All Employees Are Expected To Comply with all Company safety requirements. Adhere to all Company policies and procedures. Benefits Upon meeting eligibility requirements, the Company offers the following: health insurance coverage, 401(k), Union pension, paid sick leave, paid vacation leave, and eight (8) paid holidays per year. Eligible employees may also make 401(k) elective deferral contributions and may elect a co-pay plan for health insurance coverage for eligible dependents. Disclaimer This job description is only a summary of the typical functions of the job, not an exhaustive or comprehensive list of all possible job responsibilities, tasks, and other duties as assigned. Equal Employment Opportunity Statement S. Martinelli & Company is an Equal Opportunity Employer (EOE). All qualified applicants will receive consideration for employment without regard to race, color, gender, sexual orientation, gender identity or expression, religion, national origin, marital status, age, disability, veteran status, genetic information, or any other protected status.

Job Description Job Description Position Overview We are seeking an experienced developer with a strong understanding of options theory and derivatives pricing who can translate quantitative research into production trading systems. The ideal candidate understands both the underlying theory and the engineering required to build reliable, low-latency software. Working closely with traders and quantitative researchers, the candidate will transform theoretical pricing models into practical, production-ready implementations, making sound engineering decisions where theory and real-world constraints diverge. This role provides significant ownership over the architecture, design, and implementation of the firm's core pricing technology. Key Responsibilities Design and implement real-time theoretical pricing models for options Design and implement numerical methods that balance theoretical accuracy with production performance Improve pricing accuracy, computational efficiency, and performance under high-throughput market conditions Work with traders and quantitative researchers to implement and refine theoretical pricing models Participate in architecture design decisions related to scalability, latency, resiliency, and data integrity Collaborate with engineering and trading teams to define technical requirements and deliver production-quality software Required Qualifications Strong understanding of options pricing theory and derivatives markets Experience implementing quantitative pricing models in production software Strong background in numerical methods, optimization, and computational mathematics Extensive experience developing production trading systems in C++ Experience working with APIs, multithreaded systems, and low-latency applications Strong analytical and problem-solving skills with the ability to understand complex software systems and quantitative models Ability to work independently in a fast-moving development environment Ability to balance quantitative rigor with practical engineering constraints when implementing production trading systems

Job Description Job Description ROLE AND RESPONSIBILITIES Assists and performs work on electro/pneumatic/hydraulic/digital/Drive control systems and related equipment, in all work areas. Understands and can apply knowledge of basic electrical theory (Ohm's law, AC theory, AC motors, DC motors) to troubleshooting of industrial systems. Understands and can apply basic knowledge of instrumentation (transmitters, valves, solenoids, pumps - both hydraulic and pneumatic) to troubleshooting of industrial systems. Understands control logic for automated systems. This includes PLC, DCS, and Drive systems. Uses logic and critical thinking skills to troubleshoot production equipment. Can also troubleshoot and change out control hardware, such as I/O cards. Reads and interprets all types of electrical/electronic wiring diagrams or Loop sheets and keeps abreast of innovations and new techniques in this specialized field. Locates, diagnoses, and corrects troubles in industrial production systems most efficiently, following the manufacturer's instruction manuals. Uses a variety of tools, measuring and test equipment, e.g., amp meters, gauges, AC-DC voltmeters, oscilloscopes, digital meters, computer-based system interfaces and diagnostics, etc. Maintains necessary records and logbooks on performance and operation of equipment. Maintain and support the operation of valves, cylinders, motors, and distribution systems for electrical and pneumatic energies via regular maintenance per SOPs and industry best practices. Assists the Maintenance E&I Technicians, E/I & C Techs II, III, Automation Engineers and Senior E/I & C technicians as directed. Assists with the assembly and repair PC PC-based systems and learn related software necessary for Process automation equipment. Diagnosis of and change camera system components with support from other E/I &C levels. Provide, in cooperation with other Maintenance Crafts, coverage 24 hours a day, 7 days a week. Crew Assignments and duties may vary at times based upon job & skill requirements, as well as available crew personnel to complete the work safely and efficiently. Develops necessary documentation for new projects or replaces existing documentation as changes occur. Supports Electrician and Instrument apprentices in their development and progression in their trade. Operates lifts and PIT equipment as needed. Follows all site policies, including Electrical safe work practices, which uses NFPA-70E. • Assists with the start-up of new or upgraded systems as needed. Attends and participates in the appropriate training for the use of fire extinguishing equipment and notification procedures should a small, containable fire ignite in the work area. Serves as a member of the Pixelle Industrial Fire Team to mitigate risk and escalation of fires within the facility and provides assistance required by your craft, as laid out in the handbook. Performs other comparable or related duties assigned Qualifications To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Associate's degree (A.A.) or equivalent from a two-year college or technical school in the related field, along with 1 year of related experience and training; or equivalent combination of education and experience equal to 4 years. Ability to read and interpret documents such as safety rules, operating and maintenance instructions, and procedure manuals. Ability to write routine reports and correspondence. Ability to speak effectively after groups of customers or employees of the organization. Ability to add, subtract, multiply, and divide in all units of measure, using whole numbers, common fractions, and decimals. Ability to compute rate, ratio, and percent and to draw and interpret bar graphs.

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 Samsung SDS America AI Team is researching the next generation of intelligent robotic systems that operate in the real world. Working with multiple robot hardware partners, we use their platforms to develop complete embodied AI systems, spanning data collection through teleoperation, policy training, and deployment on physical robots in real-world environments. We are looking for a Senior Physical AI Engineer to join the team developing this end-to-end pipeline. You will work hands-on with humanoid robots, collecting demonstration data through teleoperation, training learning-based policies, deploying them on the physical platform, and iterating through live test runs in real environments, not just simulation. You will also research dexterous manipulation, advancing the hand and grasping capabilities that enable robots to handle complex tasks. This role sits at the intersection of robotics, embodied AI, machine learning, and production software engineering. You will connect high-level AI models to physical robot behavior, enabling robots to perceive, learn, adapt, and act safely in dynamic environments. What sets our lab apart is the shared ownership and the path to impact. You will work alongside a small team that takes real ownership of what we develop here, helping shape research directions, building systems directly, and seeing your work move quickly from ideas to robot experiments on real hardware. Samsung SDS builds and operates systems that support manufacturing at scale across thousands of factory lines worldwide. The Physical AI capabilities we research here are aimed at that production environment, with a path that extends from a single robot today toward coordinated multi-robot systems on the factory floor. This is a hands-on research and engineering role spanning teleoperation, policy training, real-world deployment, low-latency control systems, simulation, and scalable AI training pipelines. If you enjoy working with robots that move, learn, and interact with the physical world, this role is for you. Responsibilities Design and develop intelligent robotic systems powered by modern AI and machine learning techniques Build scalable training pipelines for embodied AI and robot learning applications Develop production-grade robotics software in Python and related frameworks Train and deploy learning-based robotic policies using reinforcement learning and imitation learning approaches Integrate AI models with physical robot actuators, camera systems, and sensor pipelines Implement robotics control algorithms, kinematics, dynamics, and sensor fusion systems Work with simulation and synthetic data generation environments including Isaac Sim, MuJoCo, Sapien, or similar platforms Optimize low-latency inference and control systems for real-world robotic deployment Collaborate across robotics, AI, systems, and hardware teams to bring intelligent robotic platforms into production Contribute to the architecture of next-generation embodied AI systems Requirements 5+ years of industry experience in robotics, embodied AI, physical AI, or autonomous systems Bachelor's degree in Computer Science, Artificial Intelligence or relevant field Strong Python programming skills with experience building scalable production systems Hands-on experience building, training, and deploying machine learning systems for robotics applications Deep familiarity with reinforcement learning, imitation learning, and modern ML frameworks such as PyTorch Strong understanding of robotics fundamentals, including: - robot control systems - kinematics and dynamics - perception and sensor fusion - camera and tactile sensor integration Experience with robotics middleware such as ROS or ROS2 Experience working with simulation environments such as NVIDIA Isaac Sim, MuJoCo, Sapien, or equivalent platforms Strong debugging and systems engineering skills across software and hardware boundaries Experience deploying robotics systems into real-world physical environments Preferred Qualifications Experience with humanoid robotics or manipulation systems Background in autonomous systems or embodied foundation models Experience with GPU acceleration and distributed training systems Familiarity with synthetic data generation and sim-to-real transfer techniques Experience optimizing robotics systems for edge or embedded deployment Benefits Why Join US Get hands-on with a real humanoid robot. Train it, test it, and iterate on real hardware, not just in simulation. Research dexterous manipulation, pushing the frontier of robotic hands and grasping for complex real-world tasks. Build Physical AI that deploys at scale, into real manufacturing environments running across many thousands of factory lines worldwide. Work on frontier Physical AI and robotics technologies that bridge advanced AI with real-world robotic behavior. Collaborate with a highly technical, fast-moving research/engineering team. Help shape a new robotics effort from its earliest stage. Samsung SDSA offers a competitive salary, and a comprehensive suite of programs to support our employees: Top-notch medical, dental, vision and prescription fully covered for You and Your family Wellness program Parental leave 401K match and savings plan Flexible spending accounts Life insurance Paid Holidays Paid Time off Additional perks The base salary range for this Mountain View, CA role is $200,000 to $270,000. Individual pay is determined by multiple factors, including job-related skills, experience, relevant training, and specific geographic location. Your recruiter can share more about the total compensation package-which may include performance bonuses, and comprehensive benefits-during the hiring process. Samsung SDS America, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, status as a protected veteran, marital status, genetic information, medical condition, or any other characteristic protected by law. We are committed to providing reasonable accommodations to participate in the job application or interview process for candidates with disabilities. If you need assistance and/or a reasonable accommodation, please send your request the recruiter.

Job Description Job Description We are looking for a senior ML infrastructure engineer to build and evolve the systems that support model training, deployment, and production usage. This role sits at the intersection of software engineering, infrastructure, ML workflows, and developer experience. The work focuses on production-quality ML systems: reliability, scalability, observability, and usability for the team. You will work on training infrastructure, deployment workflows, model serving, platform tooling, automation, and production reliability. Training deployment is a core focus, and experience with inference deployment is a strong plus. We care about engineering judgment, technical depth, communication, and the ability to turn messy ML workflows into stable platform capabilities. What You Will Own Design, build, and evolve infrastructure for ML training workflows, training deployment, experiment execution, and production handoff. Build and maintain deployment paths for models, jobs, services, and supporting infrastructure across development and production environments. Improve reliability, scalability, observability, and developer experience for ML workflows and platform tools. Define interfaces, automation, metadata, artifacts, configuration, environment management, and lifecycle boundaries for ML systems. Collaborate with research, product, data, and engineering partners to translate incomplete ML workflow needs into maintainable systems. Support production usage by building clear operational tooling, debugging paths, and safe rollout mechanisms. What We Look For Strong software engineering and infrastructure fundamentals, with experience owning production or near-production systems. Practical experience with PyTorch and ML training workflows, including job orchestration, compute environments, artifact management, and deployment automation. Solid understanding of heterogeneous computing and high-performance computing, especially for ML training or serving workloads. Good understanding of model lifecycle concerns: data, configs, checkpoints, artifacts, reproducibility, rollout, rollback, and observability. Ability to build reliable platform abstractions without hiding the important details ML practitioners need to control. Clear technical and product sense: you can prioritize platform work that unlocks real training or deployment velocity. High standards for engineering quality, including tests, documentation, debugging tools, and maintainable system design. Tech Stack You May Work With Python PyTorch Heterogeneous computing and high-performance computing ML training pipelines, job orchestration, compute scheduling, containers, and deployment automation Model artifacts, metadata, storage, experiment tracking, and configuration systems Model serving, inference deployment, APIs, queues, and observability tools Docker, CI/CD, cloud infrastructure, GPUs, and internal platform tooling Bonus Points Experience building training deployment systems, model release workflows, or ML platform tooling for research and production teams. Experience with inference deployment, model serving, online/offline evaluation, performance tuning, or rollout safety. Experience with distributed training, GPU infrastructure, workload scheduling, artifact/version management, or reproducibility tooling. Understanding of CUDA, GPU architecture, or low-level performance optimization. Experience with open-source inference and serving frameworks such as vLLM, TensorRT, Triton, or similar systems. Experience migrating ad hoc notebooks, scripts, or manual ML processes into reliable platform workflows. This Role May Not Be a Fit If You mainly want to train models personally and do not enjoy building infrastructure for others to use. You are comfortable with manual ML workflows and do not care about reproducibility, deployment, or operational quality. You prefer narrow implementation tasks and do not want to reason about system boundaries, platform UX, or long-term maintenance. You over-abstract ML workflows without understanding where researchers and engineers need control and visibility. Why This Role Matters ML teams move faster when training, deployment, and production usage are supported by reliable infrastructure instead of scattered scripts and manual processes. This role will directly shape how models move from experimentation to production, how safely they are deployed, and how efficiently the team can iterate. For the right person, it is a high-ownership platform role with deep impact on both engineering quality and ML velocity. What We Would Like to See When You Apply ML infrastructure, training platforms, deployment systems, or model serving systems you have owned. Examples of how you improved training reliability, deployment velocity, reproducibility, observability, or operational safety. Cases where you turned messy ML workflows into maintainable tools, services, or platform abstractions. Examples that show your technical judgment, communication, and ability to work across research and engineering needs.

Job Description Job Description 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: Sonatus is a global leader in the automotive industry, providing key technologies that enable intelligent AI-defined vehicles. Our solutions are already on the road with millions of vehicles, and we are quickly expanding our offerings for production-grade AI on the Edge. We are looking for a great Senior Staff AI Engineer to join our seasoned AI team and lead the development of Edge AI for in-vehicle self-aware health monitoring and prediction. In this role, you will build and deploy AI models that analyze continuous data generated in the vehicle during the day-to-day operation, including system logs, traces, and vehicle internal signals (Ethernet and CAN) to detect and predict the health of different sub-systems and anticipate failures in real-time. You will own the end-to-end ML pipeline-from data ingestion and model training to deployment on resource-constrained edge devices and model optimization. You will work in a fast-paced startup environment where your code will directly impact fleet reliability and build the next generation of the self-aware vehicle. You will be expected to collaborate with other leading developers who have a deep understanding and expertise of vehicle software and systems, and other AI developers working on MLOps and integration of AI models on vehicles expected to be on the road today. Expect to experiment with cutting-edge model architectures and best-in-class development tools. This is a hybrid role out of our Sunnyvale, CA, where you will be expected to work in our office 3 days a week. Responsibilities: Build and train AI Edge models (e.g., Transformers, LLM, CNN, LSTM, Trees) to process unstructured application logs, kernel traces, and multi-modalities. Integrating ML flows, including cloud-based LLM APIs (Gemini, OpenAI, Claude), with emphasis on synthetic data creation. Develop algorithms to automatically cluster log patterns and detect software regressions, race conditions, or crash precursors. Design unsupervised and supervised learning models (e.g., Autoencoders, Isolation Forests) to monitor time-series data from CAN bus and on-board sensors. Implement logic to correlate signal anomalies (e.g., ADAS drifts, sensor spikes, latency jitters) across different modalities with system events to identify root causes. Port and optimize PyTorch/TensorFlow models into production-grade models for execution on CPU/GPU-bound targets or embedded NPUs. Apply quantization, pruning, distillation, and memory optimization to ensure models run within strict RAM/Flash budgets. Define the data strategy for on-device filtering: pre-processing on device and decide which data is processed locally versus processed in the cloud. Lead the architecture for the edge ML pipeline and mentor junior engineers on best practices for embedded AI. Requirements: Bachelor's degree in Computer Science, Electrical Engineering, Software Engineering, or a related field. 10+ years in Machine Learning Engineering, with 3+ years focused on Edge AI or Embedded Systems. Proven experience mentoring junior engineers in software development. Expert Python (for training) and decent working knowledge of modern C++ (C+/17 for inference). Deep proficiency with PyTorch or TensorFlow, and experience with inference engines like ONNX, TFLite, or TVM. Experience with NLP techniques for textual data parsing, sequence modeling (RNN/GRU), vector store, or lightweight LLMs/SLMs. Experience with libraries like scikit-learn, tslearn, or statsmodels for anomaly detection on sensor data. Proven ability to lead technical projects from concept to production in an ambiguous, fast-paced environment. Ability to communicate with stakeholders and articulate trade-offs. Experience deploying to Edge environments (e.g., ARM-based), managing memory manually, and working with limited compute resources. Candidates with a strong Computer Vision (CV) / ADAS track record are highly encouraged to apply! Desired Skills: MS/PhD in Computer Science, Engineering, or related fields. Familiarity with Edge systems and preferably automotive formats (CAN, DBC, UDS, SOME/IP, or MQTT. Understanding of Linux/QNX kernel logs (dmesg), process states, and OS-level debugging. Experience with NVIDIA TensorRT, Qualcomm SNPE. Sunnyvale HQ Benefits & Perks Offered: 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, 14+ paid holidays Hybrid office work arrangement Complimentary lunches, snacks, and beverages during on-site working days Wellness benefit allowance Phone & Internet reimbursement Computer Accessory Allowance 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 $227,000-$300,000 USD

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: Sonatus is a global leader in the automotive industry, providing key technologies that enable intelligent AI-defined vehicles. Our solutions are already on the road with millions of vehicles, and we are quickly expanding our offerings for production-grade AI on the Edge. We are looking for a great Senior Staff AI Engineer to join our seasoned AI team and lead the development of Edge AI for in-vehicle self-aware health monitoring and prediction. In this role, you will build and deploy AI models that analyze continuous data generated in the vehicle during the day-to-day operation, including system logs, traces, and vehicle internal signals (Ethernet and CAN) to detect and predict the health of different sub-systems and anticipate failures in real-time. You will own the end-to-end ML pipeline-from data ingestion and model training to deployment on resource-constrained edge devices and model optimization. You will work in a fast-paced startup environment where your code will directly impact fleet reliability and build the next generation of the self-aware vehicle. You will be expected to collaborate with other leading developers who have a deep understanding and expertise of vehicle software and systems, and other AI developers working on MLOps and integration of AI models on vehicles expected to be on the road today. Expect to experiment with cutting-edge model architectures and best-in-class development tools. This is a hybrid role out of our Sunnyvale, CA, where you will be expected to work in our office 3 days a week. Responsibilities: Build and train AI Edge models (e.g., Transformers, LLM, CNN, LSTM, Trees) to process unstructured application logs, kernel traces, and multi-modalities. Integrating ML flows, including cloud-based LLM APIs (Gemini, OpenAI, Claude), with emphasis on synthetic data creation. Develop algorithms to automatically cluster log patterns and detect software regressions, race conditions, or crash precursors. Design unsupervised and supervised learning models (e.g., Autoencoders, Isolation Forests) to monitor time-series data from CAN bus and on-board sensors. Implement logic to correlate signal anomalies (e.g., ADAS drifts, sensor spikes, latency jitters) across different modalities with system events to identify root causes. Port and optimize PyTorch/TensorFlow models into production-grade models for execution on CPU/GPU-bound targets or embedded NPUs. Apply quantization, pruning, distillation, and memory optimization to ensure models run within strict RAM/Flash budgets. Define the data strategy for on-device filtering: pre-processing on device and decide which data is processed locally versus processed in the cloud. Lead the architecture for the edge ML pipeline and mentor junior engineers on best practices for embedded AI. Requirements: Bachelor's degree in Computer Science, Electrical Engineering, Software Engineering, or a related field. 10+ years in Machine Learning Engineering, with 3+ years focused on Edge AI or Embedded Systems. Proven experience mentoring junior engineers in software development. Expert Python (for training) and decent working knowledge of modern C++ (C+/17 for inference). Deep proficiency with PyTorch or TensorFlow, and experience with inference engines like ONNX, TFLite, or TVM. Experience with NLP techniques for textual data parsing, sequence modeling (RNN/GRU), vector store, or lightweight LLMs/SLMs. Experience with libraries like scikit-learn, tslearn, or statsmodels for anomaly detection on sensor data. Proven ability to lead technical projects from concept to production in an ambiguous, fast-paced environment. Ability to communicate with stakeholders and articulate trade-offs. Experience deploying to Edge environments (e.g., ARM-based), managing memory manually, and working with limited compute resources. Candidates with a strong Computer Vision (CV) / ADAS track record are highly encouraged to apply! Desired Skills: MS/PhD in Computer Science, Engineering, or related fields. Familiarity with Edge systems and preferably automotive formats (CAN, DBC, UDS, SOME/IP, or MQTT. Understanding of Linux/QNX kernel logs (dmesg), process states, and OS-level debugging. Experience with NVIDIA TensorRT, Qualcomm SNPE. Sunnyvale HQ Benefits & Perks Offered: 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, 14+ paid holidays Hybrid office work arrangement Complimentary lunches, snacks, and beverages during on-site working days Wellness benefit allowance Phone & Internet reimbursement Computer Accessory Allowance 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 $227,000-$300,000 USD

Job Description Job Description The Offline Driving Intelligence team is responsible for developing Foundation Models for ML Agents and planning, applying them off-vehicle to provide generalization capabilities to simulation and validation. Our team collaborates closely with the Planner, Simulation and Validation teams to develop and validate our driving performance. As an ML Agents and Planning Machine Learning Engineer you will work on the bleeding edge of the industry, developing novel machine learning pipelines and models to predict the behavior of other agents in the world and planning the best course of action for the ego vehicle. In this role, you will You will develop new deep learning models that use imitation learning and reinforcement learning to generate driving plans for human-like agents. You will work on novel techniques to estimate the quality of those driving plans along the dimensions of safety, progress, comfort and realism. You will contribute to our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field You will develop metrics and tools to analyze errors and understand improvements of our systems You will collaborate with engineers on Perception, Planning,Simulation, and Validation to solve the overall Autonomous Driving problem. Qualifications PhD degree in computer science or related field +1y of professional experience (top tier publications can remove the need for the year of experience) or, MSc +5y of professional experience in a relevant field. Experience in Planning and / or Prediction using Reinforcement Learning techniques Experience with training and deploying transformer-based model architectures Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines Fluency in Python with a basic understanding of C++ Bonus Qualifications Top tier publications (NeurIPS, ICML, CVPR) There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. 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 Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that's why we're building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver , our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role Our robotics team is growing and we are looking for a Software Engineer to join our Sensor Data and Calibration team. We are searching for an engineer with robotics and machine learning expertise to develop synthetic sensor simulation models and algorithms. The ideal candidate has hands-on experience in the research, development, and implementation of machine learning methods (e.g., NeRF or Gaussian splatting) for generating synthetic sensor data (photorealistic images, realistic lidar and/or radar, etc.). About the Work Research, develop, and implement state-of-the-art synthetic sensor simulation methods Analyze and characterize the realism and utility of synthetic sensor data Answer critical questions about sensor data and autonomy performance Collaborate with stakeholders across autonomy, infrastructure, and systems teams on map needs and requirements Role is scoped as a Senior/Staff IC with the flexibility to grow into a Tech Lead/TLM. About You One of PhD in machine learning, computer science, electrical engineering, robotics, or related field, and 3+ years of industry experience Masters and 4+ years of industry experience 5+ years of industry experience Deep understanding of ML fundamentals with hands-on experience in training and evaluating modern ML models Strong Python skills with experience in deep learning frameworks, e.g., PyTorch, TensorFlow, or Jax Bonus Points Deep understanding of 3D geometry and state estimation fundamentals Proficiency in systems coding Experience in simulating/modeling real sensors (camera, lidar, radar, IMU, etc), including noise modeling Experience in modern ML graphics techniques, e.g., NeRF, Gaussian Splatting, and/or generative models. Experience in building ML pipelines and optimizing/productizing ML models Demonstrated research publications in top conferences (e.g. NeurIPS, ICLR, ICML, CVPR, RSS, CoRL, ICRA) At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $193,930 and $291,150 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package. At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.

Job Description Job Description Senior Autonomy Engineer About the Company This aerospace startup is reshaping how the world connects from above. The team is developing solar-powered, long-endurance UAVs that operate at the edge of the atmosphere, delivering next-generation, low-latency communication capabilities to areas traditional satellite and ground-based networks cannot serve well. The vision is to redefine global connectivity for everything from underserved regions and disaster response to dynamic, mission-critical coverage. Backed by top-tier investors and led by a tight team of operators and engineers from the most respected names in aerospace, defense, and telecom, this is a rare ground-floor opportunity. They are lean, builder-led, and moving fast toward a near-term flight demonstration. This team has the technical depth, the network, and the timing to leap past incumbents and define the category. We prefer this person to be located in the Bay Area and onsite at headquarters, but for the right candidate we may consider a hybrid arrangement. About the Role This team is looking for a Senior Autonomy Engineer to own the design, architecture, and development of the entire autonomy software stack across the vehicle, payload, and ground infrastructure. As a true founding-team engineer, this person will be a world-class individual contributor and architect, with full latitude to shape how the aircraft flies, recovers, and eventually coordinates as a fleet. This is not a maintenance seat. It is the chance to define the autonomy platform from the ground up and watch your code fly. What You'll Own End-to-end autonomy architecture across vehicle, payload, and ground infrastructure for a long-endurance, high-altitude aircraft Mission management and behavioral executive: design the high-level state machines, behavior trees, and contingency logic that govern mission phases, abort behaviors, fault response, and payload coordination. Path and trajectory planning: build the algorithms for auto-takeoff, landing, dynamic waypoint navigation, geofencing, and end-to-end autonomous routing. Scale toward cooperative and non-cooperative avoidance and energy-aware planning that accounts for battery state of charge, expected solar harvest, and predicted spatial wind fields. Health, status, and fault detection: design robust fault detection and isolation that distinguishes healthy from faulty sensors and actuators, monitors system health, and triggers safe contingency behaviors on board in real time. Fleet management and simulation: build the centralized software that coordinates multiple vehicles across multiple sites, and stand up the cloud infrastructure for large-scale distributed simulation and log analysis. Infrastructure and testing: design and optimize CI/CD pipelines for autonomy software, drive SIL and HIL validation, and own flight readiness for early prototypes. What We're Looking For Deep, hands-on experience with path planning algorithms, finite state machines, and behavior trees. You have shipped autonomy that has flown or driven in the real world, not just in simulation. Strong production-level software engineering skill in a typed language. Heavy preference for Rust. C++ also strongly considered for the right profile. Broad systems architecture instincts. You are comfortable architecting complex, scalable software that bridges embedded vehicle software, ground systems, and cloud-based fleet managers. Embedded software experience on complex hardware platforms. Flying vehicles preferred, but robotics, autonomous ground systems, and other high-stakes hardware count. Ability to move fast and build in ambiguity. You reach for first principles rather than industry standards when the standards do not yet exist for the problem. Strong physics or GNC-adjacent intuition is a plus. The ability to look at flight logs and reason not only about whether mission management responded correctly, but why the aircraft is behaving the way it is, makes you stand out. A strong problem-solving mindset with a bias for action and excellent collaboration instincts. Excitement to be part of an ambitious, technically rigorous founding team, and a desire to do the best work of your career here. Benefits Why You'll Love Working Here Join a powerhouse team of brilliant builders Collaborate with a tight-knit crew of deeply technical operators and engineers from the most respected programs in aerospace, defense, and telecom. You will work alongside founders and leaders with a track record of shipping at the highest bar. Competitive startup salary Be paid well to do the most energizing work of your career. Ground-floor equity Own meaningful upside from day one. Shape the trajectory of the company and participate fully in the value you help create. Excellent health insurance Strong medical coverage so you can stay healthy while pushing the boundaries of what is possible. Dog-friendly office with Bay views Bring your pup and enjoy a beautiful workspace with panoramic water views that spark creativity and focus. Work on a uniquely hard problem Architect autonomy for an aircraft that lives at the edge of the atmosphere, where the wind is often faster than the vehicle and every kilogram, watt, and line of code matters. This is the kind of problem that nerd-snipes the best autonomy engineers in the world. About AdAstra AdAstra Talent Advisors is a headhunting and talent advising firm focused on the Climate, Space, and Defense sectors of Hard Tech. We specialize in pairing highly technical and executive talent with some of the world's leading Hard Tech startups. At AdAstra, we catalyze the innovations that future generations depend on by placing the right people in the right seats. Our dedicated work enables inconceivable technology from Earth, to the stars. And it's all because of trailblazing talent like you - those driven to do what's never been done before. We care about long term relationships with both candidates and companies. Even if the role we initially discuss isn't a perfect fit, it's likely we'll have something relevant to share with you in the future. Join us on our journey by following along via LinkedIn! CEO, Seyka Mejeur LinkedIn profile CTO / COO, Brian Mejeur LinkedIn profile AdAstra Talent Advisors LinkedIn profile AdAstra Website

Job Description Job Description About Gridware Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware's advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit . Role Description We're scaling the deployment of critical infrastructure monitoring devices to detect real-world fault events that lead to wildfires. The platform you'll build and operate ingests millions of events per day from devices in the field, powers customer-facing dashboards and alerting, and supports the data science work that turns raw signals into grid intelligence. You will own AWS infrastructure, Kubernetes (EKS), CI/CD, and observability end-to-end, partnering with our Cloud Security team to keep the platform safe and compliant, and with backend, firmware, and data teams to keep them shipping fast. As an early member of the DevOps team, you'll have a direct hand in shaping how Gridware builds, deploys, and runs production systems for years to come. Responsibilities Design, build, and operate scalable, secure, and highly available cloud infrastructure across AWS. Own and evolve our Kubernetes platform, enabling reliable application deployment and operations through GitOps best practices. Build and maintain CI/CD systems that improve developer velocity, release quality, and operational reliability. Manage and optimize event-driven infrastructure powering high-volume telemetry and device data pipelines. Define and maintain Infrastructure as Code standards, ensuring consistency, repeatability, and scalability across environments. Develop and enhance observability, monitoring, and incident response capabilities to support reliable production operations. Partner closely with Security and Engineering teams to strengthen platform security, access management, and operational resilience. Troubleshoot complex production issues, drive root cause analysis, and turn lessons learned into automation, tooling, and operational improvements. Required Skills 5+ years of experience in DevOps, SRE, or Platform Engineering operating production AWS environments Deep expertise with Kubernetes (EKS preferred), GitOps workflows (Argo CD/Flux), and Infrastructure as Code (Terraform) Strong experience building and maintaining CI/CD pipelines, ideally with GitHub Actions Hands-on experience operating distributed systems and cloud-native platforms (e.g., Kafka/MSK) Solid understanding of networking, DNS, TLS, identity/access management, and cloud security best practices Experience with observability, monitoring, and logging tools such as Grafana, Prometheus, Loki, or similar Strong Linux, scripting, and troubleshooting skills with the ability to debug complex production issues end-to-end Bonus Skills Experience operating Apollo Router / GraphQL federation gateways in production. Experience operating Argo Workflows or similar Kubernetes-native job / pipeline runners in production. Familiarity with Databricks or ML Ops pipelines for data and model deployment. Experience designing, operating, and exercising Disaster Recovery (DR) environments, including cross-region replication, backups, and tested failover runbooks. Experience with Tailscale or other zero-trust networking tools. Experience supporting IoT / embedded fleets at scale, including secure device-to-cloud connectivity. Experience in high-growth startup environments where you must wear many hats. This describes the ideal candidate; many of us have picked up this expertise along the way. Even if you meet only part of this list, we encourage you to apply! Gridware Technologies Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Benefits Health, Dental & Vision (Gold and Platinum with some providers plans fully covered) Paid parental leave Alternating day off (every other Monday) "Off the Grid", a two week per year paid break for all employees. Commuter allowance Company-paid training

Job Description Job Description About the Role Teserac is building neuron , a unified AI-native platform for data center observability, intelligence, and workflow automation. neuron processes real-time telemetry from thousands of sensors, meters, and control systems across heterogeneous environments - giving infrastructure owners the visibility to monitor, analyze, automate, and proactively manage power operations with full situational awareness. An embedded AI teammate serves as every operator's always-on co-pilot: detecting anomalies, correlating events, and surfacing recommendations 24/7. We are seeking an AI/ML Engineer who is excited to build intelligent systems at the intersection of applied AI and critical infrastructure. You will work across the full AI development lifecycle - from data pipelines and model integration to agentic orchestration, evaluation, and production support - collaborating closely with a small, fast-moving engineering team. This is not a research-only role, but research thinking matters here. You will be expected to read papers, stay ahead of the field, and bring ideas to the table - then build them into production systems. Who We Are Looking For We care more about how you think than how many years are on your resume. This role is open to both junior and senior candidates. What matters is: You are genuinely excited about AI and infrastructure - not just one of them You learn fast, go deep, and can hold your own in a technical debate You have the engineering fundamentals to ship reliable systems You are proactive, curious, and comfortable with a steep learning curve You want to work on something technically hard that actually matters in the physical world If you are early in your career but have strong fundamentals, a track record of self-directed learning, and a portfolio that shows you build things - we want to hear from you. What You Will Work On Multi-agent orchestration and LLM-driven triage workflows Time-series modeling for anomaly detection, failure prediction, and health forecasting on multivariate telemetry Retrieval-augmented knowledge systems for operations teams Data and ML pipelines - ingestion, ETL, and dataset construction Fine-tuning and post-training of language models for operational use cases AI observability, evaluation frameworks, and production performance benchmarking Responsibilities Design, develop, and maintain AI-powered applications and automation workflows Integrate and optimize LLM APIs for production use cases Build and refine retrieval and knowledge-augmentation pipelines Develop evaluation frameworks to benchmark AI system performance Implement monitoring, tracing, and debugging capabilities for AI systems Read and synthesize relevant research; bring ideas forward and debate them with the team Contribute to AI architecture decisions and production hardening Stay current with the rapidly evolving AI/ML landscape Requirements Required Degree in Computer Science, Machine Learning, Mathematics, or a related field - or equivalent demonstrated experience Strong proficiency in Python Solid software engineering fundamentals: testing, version control, CI/CD Experience working with LLM APIs in applied contexts Familiarity with agentic system concepts - tool/function-calling, agent frameworks Daily use of AI-assisted coding tools (Cursor, Copilot, Claude Code, etc.) Ability to read ML research papers and translate ideas into practical experiments Strong analytical thinking and clear communication - you can argue a position and update it when wrong Preferred Professional AI/ML engineering experience (any level) Experience building agentic systems using frameworks such as LangGraph or LangChain; MCP a plus Time-series modeling - forecasting and anomaly/failure prediction on multivariate data Experience fine-tuning or post-training language models PyTorch and/or model serving frameworks (e.g., vLLM) Experience building data and ML pipelines - ingestion, ETL, dataset construction Familiarity with cloud ML platforms, particularly GCP (Vertex AI) LLM evaluation and benchmarking: harness design and eval loop development Domain experience with data center or industrial telemetry, BMS/OT protocols (Niagara, BACnet/Modbus) Background in DevOps, distributed systems, or observability tooling Benefits Health Care Plan (Medical, Dental & Vision) Paid Time Off (Vacation, Sick & Public Holidays) Free Food & Snacks Stock Option Plan 401(k)

Job Description Job Description About Gridware Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware's advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit . Responsibilities Develop algorithms that improve the speed, accuracy, and reliability of Gridware's automated hazard detection systems Work with multimodal time-series and spatial sensor data across diverse sampling rates and noise characteristics. Design models that are robust, interpretable, and deployable in production environments. Live in the data; help curate & share strategic & well-defined datasets that help solve our highest-value challenges Explore advanced approaches such as graph-based learning for grid topology reasoning, geospatial modeling and localization and multimodal fusion across acoustic, magnetic, vibration, electrical, and visual signals Production Engineering Write clean, scalable, well-tested Python code that integrates into a large shared codebase. Build end-to-end ML pipelines including data processing, feature extraction, training, evaluation, and deployment. Optimize models for performance, reliability, and real-world constraints. Collaborate on infrastructure for model monitoring, validation, and continuous improvement. Collaboration & Communication Translate complex analyses into clear insights for engineers, operators, and leadership. Frame solutions to ambiguous, open-ended problems to achieve buy-in from various stakeholders by focusing on the business impact of your projects Communicate uncertainty, tradeoffs, and model behavior effectively. Partner cross-functionally with software, data engineering, product, and event-reporting teams. Help shape technical direction and best practices for ML at Gridware. This includes exemplifying standards for experiment tracking, model versioning, reproducibility, and lifecycle management. Required Skills 5+ years of experience in machine learning, signal processing, or applied physics in production environments. Strong programming skills in Python and experience contributing to large, shared codebases. Experience working within modern software stacks, including cloud platforms, containerization, and CI/CD workflows Excellent written and verbal communication, especially explaining data and models clearly. Bonus Skills Experience with Graph Neural Networks or learning over physical/topological systems. Familiarity with power systems, embedded sensing, or edge ML. Proven experience with time-series modeling and noisy real-world sensor data. Experience with multimodal learning or sensor fusion. Track record of technical leadership or mentoring. This describes the ideal candidate; many of us have picked up this expertise along the way. Even if you meet only part of this list, we encourage you to apply! Benefits Health, Dental & Vision (Gold and Platinum with some providers plans fully covered) Paid parental leave Alternating day off (every other Monday) "Off the Grid", a two week per year paid break for all employees. Commuter allowance Company-paid training

Job Description Job Description Job Summary: Works with other installers and independently, in the completion of installations and service calls. Responsible for timely completion of daily tasks, pictures, and notes. Requires excellent communication skills Self-motivated, task driven, and able to apply "best practices" theory Excellent problem solving skills Ability to create and execute in the field solutions Ability to use hand and power tools Develop and maintain proficiency in the following areas: Key Job Responsibilities: Boldened items are the most critical. Complete complex audio/video installs, setup, and calibration Control system design (control/lighting/shading) and Theater room installation Advanced troubleshooting of simple and complex systems Advanced networking/data system design, install and setup Complete programming of advanced systems (Control4) Support of legacy and/or third-party products and systems Complete understanding of multi-room systems and setup Advanced understanding of security system programming and design Advanced understanding of Sonos single room and multi room solutions Advanced understanding of Access control systems Advanced understanding of IP and analog CCTV systems CEDIA ESTIII and Control4 Tech 2 certifications (or obtain within 6 months of hire) Completion of Academy (or obtain within 6 months of hire) Completion of Snap University Trainings within first year of employment Completion of PCNA Certification as defined during the year If you believe you are a STRONG candidate for this position please complete the following steps in addition to this application: Email your resume with a cover letter to Your cover letter should outline how your past experiences can be useful in this new position, why you are seeking new employment, and why you want to specifically work at HT Install. Visit our website: Ensure you look at the Partnerships page to familiarize yourself with the brands we sell. If you have experience with these brands, indicate your level of expertise in your cover letter. Call our office to follow up Minimum Job Requirements: Strong verbal and written communication skills Highly detailed, organized, and multitask driven Proficient in all Senior level qualifications Assist in training and evaluation of up to Senior level technicians Excellent skills with desktop and mobile computing Clean driving record and background check Minimum of 5 years' field experience Disclaimer: The above statements are intended to describe the general nature and level of work being performed by individuals assigned to this classification. They are not to be constructed, as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed. Company Description HT-Install, Inc. is a progressive systems integration company built on proven industry experience, and a tradition of outstanding customer service. Our services include system design and installation of distributed audio/video systems, intuitive control, crystal clear communications, audio/video surveillance, alarm systems, motorized window treatments and Wireless internet systems. Whether our clients are building systems for their Home or Work, HT-Install, Inc. has the experience and dedication to see the system through to its satisfying end. The HT-Install, Inc. staff is focused on bringing a fully engineered and complete solution to all of our projects. Taking the time to account for the details is what we do. Our staff of Engineers and Project Managers work hard to ensure that documentation and field assistance is available and complete. The HT-Install proposal is simple. We are looking for intelligent individuals with a positive, get it done attitude. In return for dedicated service and thoughtful actions, you will be rewarded with an environment that is poised at supporting quality work and nurturing your career path. If you are a professional looking for a place to grow and do your best work, please apply today. Company Description HT-Install, Inc. is a progressive systems integration company built on proven industry experience, and a tradition of outstanding customer service. Our services include system design and installation of distributed audio/video systems, intuitive control, crystal clear communications, audio/video surveillance, alarm systems, motorized window treatments and Wireless internet systems. Whether our clients are building systems for their Home or Work, HT-Install, Inc. has the experience and dedication to see the system through to its satisfying end. The HT-Install, Inc. staff is focused on bringing a fully engineered and complete solution to all of our projects. Taking the time to account for the details is what we do. Our staff of Engineers and Project Managers work hard to ensure that documentation and field assistance is available and complete. The HT-Install proposal is simple. We are looking for intelligent individuals with a positive, get it done attitude. In return for dedicated service and thoughtful actions, you will be rewarded with an environment that is poised at supporting quality work and nurturing your career path. If you are a professional looking for a place to grow and do your best work, please apply today.

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 Senior Consultant, CX Research & Survey MethodologyAbout Technical Assent Technical Assent is a federal consulting firm that helps government organizations improve services, programs, and mission outcomes through human-centered design, customer experience, research, analytics, and practical implementation support. We work with federal clients to understand customer and employee needs, measure experience, generate actionable insights, and help leaders make evidence-based decisions. Position Summary Technical Assent is seeking a Senior Consultant to lead customer experience, employee experience, survey research, and applied social science research projects for federal clients. This role is designed for an experienced research professional who can independently develop research plans, design survey instruments, guide sampling and analysis approaches, oversee survey implementation, interpret findings, and advise clients. The successful candidate will combine applied research judgment with practical consulting delivery. They should be comfortable designing defensible research approaches, working hands-on with survey and analytics platforms, leading client conversations, supervising junior staff, and translating data into clear insights and recommendations. This is not an academic research role. It is an applied consulting role for someone who can use strong research methods to help government clients make better decisions, improve services, and measure customer, employee, and stakeholder experience. Responsibilities The Senior Consultant will lead and support federal CX, EX, and applied research projects by performing responsibilities such as: Designing research plans for customer experience, employee experience, program evaluation, stakeholder research, and public-sector service improvement projects. Developing survey instruments, sampling approaches, analysis plans, reporting frameworks, and data collection strategies. Advising clients on research design, survey methodology, question wording, response options, sampling, weighting, statistical testing, qualitative coding, and interpretation of results. Leading or overseeing survey configuration, testing, fielding, monitoring, and quality assurance in Qualtrics and related platforms. Translating client goals and program questions into practical research designs and measurable constructs. Developing data analysis approaches that may include descriptive statistics, cross-tabulations, segmentation, trend analysis, statistical comparisons, weighting, open-ended response coding, and mixed-methods synthesis. Creating or overseeing creation of dashboards, reports, briefings, codebooks, data files, and executive-ready findings using tools such as Excel, Qualtrics dashboards, Power BI, Tableau, or similar platforms. Interpreting quantitative and qualitative findings and translating them into clear implications, recommendations, and decision support for federal leaders. Leading client meetings, research design discussions, working sessions, briefings, and status updates. Managing research workstreams, coordinating junior staff, reviewing deliverables, and ensuring work is accurate, useful, and delivered on schedule. Supporting project managers with scope, schedule, level-of-effort planning, risks, assumptions, and delivery quality. Helping develop reusable methods, templates, quality control practices, and documentation standards for Technical Assent's research and survey work. Supporting proposals, capture efforts, past performance writeups, solutioning, or technical approaches from time to time. Contributing to a consulting culture focused on practical insight, methodological rigor, client trust, and measurable mission impact. Required Qualifications At least 5 years of directly relevant experience in survey research, customer experience research, employee experience research, social science research, market research, program evaluation, user research, public policy research, or related applied research work. Experience designing and executing applied research studies from research questions through data collection, analysis, reporting, and recommendations. Hands-on experience with Qualtrics, including survey design, configuration, testing, distribution, data exports, and/or dashboards. Experience developing survey instruments and advising on question wording, logic, response scales, respondent experience, and data quality. Experience developing or implementing sampling plans, analysis plans, statistical testing approaches, weighting approaches, qualitative coding methods, or mixed-methods research designs. Experience analyzing survey or research data and developing clear findings, implications, and recommendations. Proficiency with Microsoft Excel and experience using Qualtrics dashboards, Power BI, Tableau, or similar reporting and visualization tools. Ability to lead client conversations and explain research methods, findings, tradeoffs, risks, and recommendations clearly to non-technical audiences. Ability to manage research workstreams, review the work of junior staff, and ensure deliverables are accurate, well-structured, and client-ready. Strong written communication skills, including experience developing reports, briefings, research plans, findings summaries, or client deliverables. Strong consulting skills, including responsiveness, judgment, organization, and comfort working across multiple projects or stakeholders. U.S. citizenship. Ability to obtain and maintain a public trust clearance or security clearance, if required. Preferred Qualifications Master's degree or PhD in social science, psychology, sociology, public policy, statistics, survey methodology, industrial/organizational psychology, human-centered design, market research, data analytics, or a related field. Direct experience supporting federal government clients. Experience with customer experience, employee experience, voice-of-customer, human-centered design, service design, or public-sector program evaluation. Experience with Medallia, Alchemer, SurveyMonkey, Forsta, Confirmit, or other survey or VOC platforms. Familiarity with Section 508 accessibility, privacy requirements, data protection practices, or FedRAMP environments. Familiarity with OMB/PRA requirements or federal survey clearance processes. Experience using SPSS, R, Python, SQL, or other statistical/data analysis tools. Experience developing codebooks, data dictionaries, data files, weighting documentation, dashboards, and recurring reporting products. Experience supporting proposals, capture, pricing assumptions, past performance narratives, or technical solution development. Experience mentoring junior researchers, analysts, or consultants. Success Profile A strong candidate for this role is someone who: Can design a defensible research approach without overcomplicating the work. Understands both methodological rigor and the practical realities of federal consulting delivery. Can lead a client / stakeholder community from a broad problem statement to a clear research plan, useful findings, and actionable recommendations. Is comfortable reviewing survey logic, data files, dashboards, statistical outputs, and narrative reports. Can mentor junior staff while still working hands-on as the project requires. Communicates research findings in a way that helps leaders make decisions. Work Environment and Travel This role may be remote or hybrid, depending on project and company needs. Limited travel may be required, typically less than 10%. Compensation The expected salary range for this role is $100,000 to $130,000, depending on experience, qualifications, location, and level. The Company Technical Assent is passionate about services - in government, business, and not-for-profit. We design exceptional service experiences, engineer them to be robust, and deliver real capability and business outcomes for our clients. You will be working on government programs that have strategic importance to our client. Your team will work IN and ON the client's core mission - helping them to deliver their services day-to-day while simultaneously looking for opportunities to improve. Our work is Driven by Evidence, Grounded in Understanding, and Focused on Impact. A Little About Our Culture We look for these attributes in our teammates. Our team combines the creative and the pragmatic to deliver the results that matter most to our clients. We see beauty when art and science come together. We seek self-starters, people who are confident in tackling challenges independently and bringing this to high-performing teams. We continually seek feedback from our customers and employees, looking for opportunities to grow. We are a small company which gives you an essential voice in shaping our culture. You will help grow our culture, and you will grow from the experience, too. You will be part of a team to take an improvement concept and transform it into a capability - an asset that provides measurable value to our client's mission. The team will work with users, prototype, develop, and deliver new capabilities. We hold ourselves accountable to impacting outcomes. Additional Information: Come as you are - Technical Assent is committed to a workplace free of discrimination . click apply for full job details

Job Description Job Description At ASAPP, our mission is simple: deliver the best AI-powered customer experience-faster than anyone else. To achieve that, we're guided by principles that shape how we think, build, and execute. We value customer obsession, purposeful speed, ownership, and a relentless focus on outcomes. We work in tight, skilled teams, prioritize clarity over complexity, and continuously evolve through curiosity, data, and craftsmanship. We're seeking technologists and problem solvers who thrive in fast-paced environments, love collaborating with great talent, and approach every day like it's Day 1. We're a globally diverse team with hubs in New York City, Mountain View, Latin America, and India-embracing both hybrid and remote work to bring the best minds together, wherever they are. If you're driven by continuous learning, rapid pivots, and the challenges of building in a high-growth startup, we'd love to talk. This is more than a job-it's a journey. Site Reliability Engineers (SREs) are responsible for the overall performance and reliability of ASAPP's infrastructure and products. The team owns the entire infrastructure stacks. SREs design and implement the tools that automate building reliable and performant systems. We emphasize building tools over manual processes. We implement, not administer. We're obsessed with automation, not repetition. Our job is to focus on building reliable infrastructure and tools for our product teams so that they can solve customer problems and deliver new features, not reinvent platforms. What you'll do Work with product engineering teams on service architecture and implementation Deliver Infrastructure configuration as code and automate everything Direct and implement monitoring and alerting systems to support rapid problem diagnosis Perform Root Cause Analysis and design and deliver resolutions Work on our Kubernetes / AWS infrastructure to support our product engineers Design secure and performant networking solutions in our production systems What you'll need +4 years of relevant experience bringing software to production at high scale Participation in on-call rotation, triaging and addressing production issues Obsession with automation and instrumentation Understanding of complex systems and failure scenarios Excellent communication skills Knowledge of AWS services, containers and container management frameworks Familiarity with Message Bus based systems and distributed architectures Proficiency in Terraform , Python and/or Go What we'd like to see BS or MS degree in the Computer Science field, or equivalent hands-on experience. Experience in product oriented environments Scalable distributed applications experience Benefits Competitive compensation with stock options Comprehensive medical, vision, and dental insurance 401k matching Fitness and wellness stipend Mobile phone reimbursement Mental well-being benefits Professional learning and development stipend Parental leave, including adoptive and foster parents 3 weeks paid time off (increases with tenure) and unlimited sick leave Compensation is a combination of salary and performance bonus Separately, you will also receive an equity grant ASAPP is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. If you have a disability and need assistance with our employment application process, please email us at to obtain assistance. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.