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Location: Sainte-Anne-de-Bellevue, Canada 📍 Location: Sainte-Anne-de-Bellevue, QC, Canada 📄 Employment Type: Full-Time 🏢 Work Arrangement: Remote Opportunity for US and Canadian citizens and relocation assistance and bonus for UK and European citizens. 🚀 Start Date: TBD 💰 Compensation: TBD — based on skills and experience Important Screening Requirements Must have a B.Sc. in Electrical Engineering, Aerospace Engineering, Physics, or a related field . 10+ years of experience preferred , but candidates with slightly less experience may be considered based on the strength and relevance of their GNC/AOCS background Strong experience in orbital mechanics, attitude dynamics, and control-law design . Experience implementing real-time filtering and control algorithms in embedded code . Hands-on experience with navigation sensors and actuators . Strong aerospace systems engineering background. Experience supporting systems integration, testing, and troubleshooting . Experience with Confluence and JIRA . Ability to work independently with limited supervision. Excellent written and verbal communication skills in an English and French work environment . About the Role We are seeking a senior Guidance, Navigation & Control (GNC) Systems Engineer to support the design, integration, verification, and operational support of GNC subsystems for current and next-generation remote sensing and communications satellites . This role spans the complete GNC subsystem lifecycle—from algorithm development and hardware implementation through integration, verification, and on-orbit operational support. The ideal candidate brings deep expertise in orbital dynamics, attitude determination and control, navigation, and real-time flight software integration , while being comfortable working closely with subsystem and mission operations teams throughout the spacecraft lifecycle. What We're Looking For We’re looking for a senior GNC/AOCS systems engineer who can work across the full spacecraft lifecycle and bridge GNC algorithms, spacecraft hardware, flight software, systems engineering, integration, verification, and mission operations. The ideal candidate goes beyond analysis and simulation, with hands-on experience translating GNC concepts into integrated spacecraft systems and supporting those systems through testing and on-orbit operations. Key Responsibilities Architecture & Requirements Derive GNC functional, performance, and safety requirements from mission-level requirements. Define requirements related to pointing accuracy, slew rates, orbit-maintenance ΔV, and fault tolerance. Develop and maintain System Requirements, Interface Control Documents (ICDs), and system description documentation . Manage requirements and maintain bidirectional traceability throughout the project lifecycle. Modeling & Trade Studies Conduct trade studies involving navigation sensor suites and actuator families. Perform high-fidelity spacecraft dynamics simulations using MATLAB/Simulink and STK . Develop and maintain error budgets. Analyze control-law stability, fuel consumption, and survivability margins. Evaluate GNC architectures and design alternatives. Algorithm Development Design and implement attitude-determination algorithms. Develop orbit-determination solutions. Develop control laws for: 3-axis stabilization Slew maneuvers Station keeping Validate algorithms using Monte Carlo analysis and worst-case scenarios . Support Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) testing on avionics test benches. Cross-Functional & Systems Engineering Translate GNC algorithms into requirements for real-time flight software. Collaborate with C&DH and flight software teams on telemetry/telecommand, schedulers, and FDIR logic. Present technical status, risk analyses, and trade-study results to senior management. Negotiate and maintain ICDs with other spacecraft subsystems. Support Phase 0 and pre-Phase A activities. Hardware Selection & Design Specify GNC sensor and actuator hardware. Define electrical, mechanical, and thermal interfaces. Conduct trade studies involving redundancy architectures. Work with structures and thermal engineering teams to ensure appropriate mounting, thermal paths, and vibration survivability. Review harness routing and power distribution for GNC electronics. Integration & Verification Develop Verification Plans, Test Matrices, and Validation Procedures for unit, subsystem, and spacecraft-level GNC testing. Lead functional testing, including: Sensor calibration Actuator command-response testing Closed-loop attitude-control testing On-orbit checkout sequences Conduct FMEA, FTA, and reliability assessments . Support system integration and troubleshooting activities. Technical Leadership & Documentation Mentor and guide junior engineers and interns. Serve as a technical liaison with customers, partners, and external vendors. Contribute to continuous improvement initiatives, engineering standards, and organizational knowledge bases. Support technology road-mapping and innovation activities. Maintain GNC standards covering sensor/actuator interfaces, filter design, and control-law documentation. Ensure analyses, software, deliverables, and technical documentation are properly version controlled. Support major design reviews including SRR, PDR, CDR, MRR, and TRR . On-Orbit & Operations Support Support operational procedures for detumble, orbit maintenance, safe mode , and related GNC activities. Provide real-time GNC support during launch, early-orbit checkout, and contingency events . Analyze on-orbit telemetry and update filter parameters as required. Generate GNC performance reports. Support Satellite Operations Handbook (SOOH) development and operator training. Required Qualifications Bachelor’s degree in Electrical Engineering, Aerospace Engineering, Physics, or a related field . 10+ years of experience, but candidates with slightly less experience may be considered based on the strength and relevance of their GNC/AOCS background Strong knowledge of: Orbital mechanics Attitude dynamics Control-law design Classical and modern optimal control Experience with navigation sensors and actuators. Experience implementing real-time filtering and control algorithms in embedded code. Strong understanding of aerospace systems engineering fundamentals. Hands-on experience supporting systems integration, testing, and problem resolution. Experience with Confluence and JIRA . Ability to work efficiently with limited supervision. Strong analytical and problem-solving capabilities. Excellent written and verbal communication skills. Preferred Qualifications Master’s degree in Electrical Engineering, Aerospace Engineering, Physics, or a related field. Specialized academic or professional background in flight dynamics, control theory, or navigation . Experience across the complete spacecraft GNC lifecycle, from concept and algorithm development through integration and on-orbit operations. Experience with MATLAB/Simulink and STK . Experience with SIL/HIL testing and avionics test benches . Experience with spacecraft FDIR, telemetry/telecommand, and flight software integration . Experience supporting spacecraft design reviews and Phase 0/pre-Phase A activities. Experience with GNC hardware interfaces, redundancy architectures, and spacecraft environmental considerations. Experience conducting FMEA, FTA, and reliability analysis .

Location: Amsterdam Workplace: Hybrid Role Highlights - Senior R&D Supply Chain Specialist - Global Supply Chain - Netherlands - Permanent Employment - Office/On-site based - Language: Dutch (native) / English (B2 minimum) - Employment is subject to applicable security screening (incl. SUPO, where required)     WHY THIS ROLE MATTERS: We are looking for a highly driven and technically proficient Senior R&D Supply Chain Specialist to join our fast-moving Global Supply Chain Organization in support of engineering. This role sits at the center of rapid hardware development, supporting engineering teams designing and building complex electronic systems under tight, shifting timelines. You will operate with a startup mindset—moving quickly, removing obstacles, identifying creative sourcing paths, and keeping development builds on track despite evolving designs, supply volatility, and aggressive schedules. You must be comfortable with ambiguity, thrive under pressure, and bring a deep understanding of electronics, PCB manufacturing, and hardware prototyping. WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. EXPECTED OUTCOMES & RESPONSIBILITIES HIGH-VELOCITY ENGINEERING SUPPORT - Serve as the hands-on supply chain counterpart for fast-paced electronics engineering teams working on multiple, rapidly evolving hardware projects. - Translate early-stage concepts, evolving BOMs, and mid-design changes into actionable sourcing steps with minimal delay. - Provide engineers with real-time insights on component availability, alternates, obsolescence, and quick-turn manufacturing options. - Identify supply issues before they become blockers and propose workaround paths immediately. RAPID SOURCING & PROCUREMENT EXECUTION - Own sourcing and procurement for electronic components, PCB fabrication, PCBA assembly, connectors, sensors, RF parts, embedded modules, and custom mechanical parts. - React quickly to BOM updates and design pivots, securing materials that keep prototype and pilot builds moving with minimal downtime. - Manage relationships with agile suppliers capable of quick-turn, small-batch production. - Lead efforts to find alternative components or new supply paths within hours—not weeks—when shortages occur. SUPPLIER INTERACTION & TECHNICAL ENGAGEMENT - Work closely with electronics suppliers to understand lead time constraints, technical manufacturing capabilities, DFM implications, and opportunities for fast-track builds. - Support technical capability assessments of PCB/PCBA vendors, machining partners, and component distributors. - Negotiate accelerated manufacturing slots, expedite shipments, and secure prototypes under extremely compressed timelines. CROSS-FUNCTIONAL START-UP COLLABORATION - Coordinate across engineering, manufacturing, program management, and operations to remove obstacles and maintain build readiness. - Maintain complete visibility into prototype schedules, engineering changes, and material risks—communicating clearly and frequently. - Operate with a bias for action: if something is unclear, you chase it; if something breaks, you fix it; if something is missing, you find it. AGILITY, RISK MANAGEMENT & CONTINUOUS IMPROVEMENT - Build and maintain a living view of supply risks across all active programs; proactively propose mitigation actions. - Keep sourcing documentation, cost tracking, and procurement data updated even under fast-moving conditions. - Bring an experimentation mindset: test new suppliers, new sourcing channels, new manufacturing partners, and new tools to reduce lead times and cost. EXPECTED COMPETENCIES & QUALIFICATIONS - Bachelor’s degree in Electrical/Electronic Engineering, Mechatronics, Supply Chain, or similar. - 5+ years of direct experience in electronics sourcing, component procurement, or engineering supply chain roles in fast-moving hardware environments. - Strong technical understanding of semiconductors, passive components, PCB fabrication, PCBA assembly, embedded electronics, and prototyping flows. - Demonstrated ability to work effectively in startup-like conditions—tight deadlines, shifting priorities, and rapid cycles. - Hands-on experience interpreting electronic schematics, BOMs, AVL requirements, PCB stackups, and manufacturing documentation. - Proficiency with ERP systems and engineering/project tools. - Strong communication, problem-solving, and negotiation abilities. ADVANTAGEOUS TO HAVE THESE COMPETENCIES - Experience in hardware startups, deep-tech environments, or fast-paced R&D organizations. - Existing relationships with PCB/PCBA vendors, distributors, and electronics manufacturing partners. - Certifications (APICS, PMP, Six Sigma) useful but not required. - Familiarity with rapid-prototyping suppliers, global component marketplaces, and digital sourcing tools. APPLICATION PROCESS - Talent Acquisition Interview - Hiring Manager interview - Task Stage - Task-based interview - Final Interview WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Attraction will confirm what applies for this role and location during the process. Base salary range for this position is, dependant on experience, and will be negotiated individually OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Munich Workplace: Remote Role Highlights - Senior R&D Supply Chain Specialist - Global Supply Chain - Munich - Permanent Employment - Office/On-site based - Language: German (native) / English (B2 minimum) - Employment is subject to applicable security screening (incl. SUPO, where required)     WHY THIS ROLE MATTERS: We are looking for a highly driven and technically proficient Senior R&D Supply Chain Specialist to join our fast-moving Global Supply Chain Organization in support of engineering. This role sits at the center of rapid hardware development, supporting engineering teams designing and building complex electronic systems under tight, shifting timelines. You will operate with a startup mindset—moving quickly, removing obstacles, identifying creative sourcing paths, and keeping development builds on track despite evolving designs, supply volatility, and aggressive schedules. You must be comfortable with ambiguity, thrive under pressure, and bring a deep understanding of electronics, PCB manufacturing, and hardware prototyping. WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. EXPECTED OUTCOMES & RESPONSIBILITIES HIGH-VELOCITY ENGINEERING SUPPORT - Serve as the hands-on supply chain counterpart for fast-paced electronics engineering teams working on multiple, rapidly evolving hardware projects. - Translate early-stage concepts, evolving BOMs, and mid-design changes into actionable sourcing steps with minimal delay. - Provide engineers with real-time insights on component availability, alternates, obsolescence, and quick-turn manufacturing options. - Identify supply issues before they become blockers and propose workaround paths immediately. RAPID SOURCING & PROCUREMENT EXECUTION - Own sourcing and procurement for electronic components, PCB fabrication, PCBA assembly, connectors, sensors, RF parts, embedded modules, and custom mechanical parts. - React quickly to BOM updates and design pivots, securing materials that keep prototype and pilot builds moving with minimal downtime. - Manage relationships with agile suppliers capable of quick-turn, small-batch production. - Lead efforts to find alternative components or new supply paths within hours—not weeks—when shortages occur. SUPPLIER INTERACTION & TECHNICAL ENGAGEMENT - Work closely with electronics suppliers to understand lead time constraints, technical manufacturing capabilities, DFM implications, and opportunities for fast-track builds. - Support technical capability assessments of PCB/PCBA vendors, machining partners, and component distributors. - Negotiate accelerated manufacturing slots, expedite shipments, and secure prototypes under extremely compressed timelines. CROSS-FUNCTIONAL START-UP COLLABORATION - Coordinate across engineering, manufacturing, program management, and operations to remove obstacles and maintain build readiness. - Maintain complete visibility into prototype schedules, engineering changes, and material risks—communicating clearly and frequently. - Operate with a bias for action: if something is unclear, you chase it; if something breaks, you fix it; if something is missing, you find it. AGILITY, RISK MANAGEMENT & CONTINUOUS IMPROVEMENT - Build and maintain a living view of supply risks across all active programs; proactively propose mitigation actions. - Keep sourcing documentation, cost tracking, and procurement data updated even under fast-moving conditions. - Bring an experimentation mindset: test new suppliers, new sourcing channels, new manufacturing partners, and new tools to reduce lead times and cost. EXPECTED COMPETENCIES & QUALIFICATIONS - Bachelor’s degree in Electrical/Electronic Engineering, Mechatronics, Supply Chain, or similar. - 5+ years of direct experience in electronics sourcing, component procurement, or engineering supply chain roles in fast-moving hardware environments. - Strong technical understanding of semiconductors, passive components, PCB fabrication, PCBA assembly, embedded electronics, and prototyping flows. - Demonstrated ability to work effectively in startup-like conditions—tight deadlines, shifting priorities, and rapid cycles. - Hands-on experience interpreting electronic schematics, BOMs, AVL requirements, PCB stackups, and manufacturing documentation. - Proficiency with ERP systems and engineering/project tools. - Strong communication, problem-solving, and negotiation abilities. ADVANTAGEOUS TO HAVE THESE COMPETENCIES - Experience in hardware startups, deep-tech environments, or fast-paced R&D organizations. - Existing relationships with PCB/PCBA vendors, distributors, and electronics manufacturing partners. - Certifications (APICS, PMP, Six Sigma) useful but not required. - Familiarity with rapid-prototyping suppliers, global component marketplaces, and digital sourcing tools. APPLICATION PROCESS - Talent Acquisition Interview - Hiring Manager interview - Task Stage - Task-based interview - Final Interview WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Attraction will confirm what applies for this role and location during the process. Base salary range for this position is, dependant on experience, and will be negotiated individually OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Warsaw, Poland; Wroclaw, Poland On behalf of CloudSec Client #1 , SD Solutions is looking for a talented Backend Team Lead. SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer. In this role, you will combine hands-on technical leadership with people management, while tackling complex engineering challenges on a daily basis. The team is responsible for designing, building, and continuously improving scalable backend systems in a cloud-native environment. You will work with all major cloud providers (AWS, GCP, Azure) and lead development using cutting-edge technologies such as Kubernetes, Kafka, ElasticSearch, Redis, Azure ADX, RabbitMQ, and more. This is a key leadership role with direct impact on architecture, delivery, and team growth. Responsibilities: Responsible for the entire lifecycle of the projects, from initial design and development to deployment, monitoring and maintenance in the production environment Contributing to technological and architectural decisions Conducting design and code reviews Analyzing and improving efficiency, scalability, and stability of various backend system components Interfacing with other teams (e.g. Frontend, DevOps, Research, Product) to deliver best-in-class features Requirements: Bachelor of Science in Computer Science/Software Engineering or related field 5+ years of experience with Backend Engineering in a high-level programming language (e.g. Java, C#, Python, Go) 3+ years of experience as a Team Lead Experience with cloud platforms and products (e.g. AWS, GCP and Azure) Experience implementing data-intensive systems (message queue technologies) Experience with microservices-based architecture Advantages: Experience in the cybersecurity industry - advantage. About the company: A next-generation cloud security platform that leverages runtime context to identify and prioritize critical risks. Unlike conventional tools, it uses runtime data proactively for risk prioritization and posture insights, with eBPF-powered sensors. Capabilities include agentless cloud posture discovery, real-time threat protection, and integrated API security — providing end-to-end protection from misconfigurations to malware defense. By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy https://sd-solutions.breezy.hr/privacy-notice , and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us.

- Разработка Data Pipelines: проектирование и реализация ETL/ELT-пайплайнов: построение DAG в Apache Airflow, написание кастомных операторов и сенсоров на Python, настройка ретраев, алертинга и зависимостей. - Стриминг и батч-обработка: разработка стриминговых джоб на Apache Flink и батч-процессинга на Apache Spark.

Location: Espoo Workplace: Hybrid ROLE HIGHLIGHTS - Engineering Supply Chain Manager (Electronics) - Location: Espoo, Finland - Department: Global Supply Chain - Reports to: Engineering Operations Manager - Employment type: Permanent - Workplace model: Office/On-site - Employment is subject to applicable security screening (incl. SUPO, where required)     THE MISSION OF THE ENGINEERING SUPPLY CHAIN MANAGER (ELECTRONICS) As our Engineering Supply Chain Manager (Electronics), you'll join our fast-moving Global Supply Chain organization and work closely with our hardware engineering teams as they design and build electronic systems on tight and shifting timelines. You'll be an active part of our engineering projects, helping to execute them and staying ahead of supply. That means identifying long lead items and critical components as early as possible in the process, and securing them before they become bottlenecks for testing and builds. When lead times, allocation or a late design change threaten a prototype schedule, we need you to act. Our development cycles are fast and iterations are constantly occurring since we thrive on pushing the technology for the best. You'll also be a key link between Engineering and Production. You'll communicate R&D supply chain risks and the critical components you've identified to Production, so nothing comes as a surprise at handover. Your work supports the success of every engineering prototype iteration and at the same time prepares Production for rollout and mass production. This role suits someone who is proactive by nature, with a solution driven mindset and a deep understanding of electronics, PCB manufacturing and hardware prototyping, who is comfortable with ambiguity and acts before problems arrive rather than waiting for them. How quickly we get from concept to working hardware in orbit, and then into production, depends on how well this role is done. WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.     YOUR DAY-TO-DAY RESPONSIBILITIES HIGH-VELOCITY ENGINEERING SUPPORT - Serve as the hands-on supply chain counterpart for fast-paced electronics engineering teams working on multiple, rapidly evolving hardware projects. - Be an active member of engineering project teams from kick-off, helping to execute the project plan and reviewing draft BOMs while the design can still be changed. - Identify long lead items and critical components as early as possible, and secure them proactively (early orders, allocation, buffer stock) before they can delay a project. - Translate early-stage concepts, evolving BOMs, and mid-design changes into actionable sourcing steps with minimal delay. - Advise engineers, in real time and in early design reviews, on how component choices affect availability, alternates, obsolescence, cost and lead time. - Identify supply issues before they become blockers and propose workaround paths immediately. RAPID SOURCING & PROCUREMENT EXECUTION - Own sourcing and procurement of electronic components, PCB fabrication, PCBA assembly, connectors, harness, sensors, RF parts, embedded modules. - Run fast quoting and supplier selection so prototype and builds get their boards and parts on the dates engineering committed to. - Lead efforts to find alternative components or new supply paths within hours, not weeks, when shortages occur. - Set stock levels and material availability plans for development and prototype builds. SUPPLIER INTERACTION & TECHNICAL ENGAGEMENT - Own relationships with PCB fabricators, electronics manufacturing partners and component distributors, and work with them to understand lead time constraints, manufacturing capabilities, DFM implications and fast-track build options. - Support technical capability assessments of PCB/PCBA vendors, machining partners, and component distributors. - Negotiate priority build slots, allocation and expedited shipments, and secure prototypes under compressed timelines. CROSS-FUNCTIONAL START-UP COLLABORATION - Coordinate across engineering, manufacturing, program management, and operations to remove obstacles and maintain build readiness. - Maintain complete visibility into prototype schedules, engineering changes, and material risks, communicating clearly and frequently. - Operate with a bias for action: if something is unclear, you chase it; if something breaks, you fix it; if something is missing, you find it. AGILITY, RISK MANAGEMENT & CONTINUOUS IMPROVEMENT - Build and maintain a living view of supply risks across all active prjects, including obsolescence, allocation, single-source parts, counterfeit risk and export restrictions and qualify alternatives early. - Keep purchasing accurate in the ERP system, with clean traceability, cost visibility and build readiness status that the organisation can rely on, even under fast-moving conditions. - Bring an experimentation mindset: test new suppliers, new sourcing channels, new manufacturing partners, and new tools to reduce lead times and cost. R&D TO PRODUCTION READINESS - Communicate R&D supply chain risks and identified critical components to Production early and clearly, so they are known well before handover. - Support the success and rapid iteration of engineering prototypes while preparing Production for rollout and mass production. - Make sure critical and long lead parts, qualified suppliers and realistic lead times and capacity are in place before a design moves into series production. - Help build the sourcing foundations that will carry a design from prototype into repeatable production. WHAT WE’RE LOOKING FOR MUST HAVES: - Bachelor’s degree in Electrical/Electronic Engineering, Mechatronics, Supply Chain, or similar. - 5+ years of direct experience in electronics sourcing, component procurement or engineering supply chain roles in fast-moving hardware environments. - Strong technical understanding of semiconductors, passive components, PCB fabrication, PCBA assembly, embedded electronics, and prototyping flows. - Demonstrated ability to work effectively in startup-like conditions, tight deadlines, shifting priorities, and rapid cycles. - Hands-on experience interpreting electronic schematics, BOMs, AVL requirements, PCB stackups, and manufacturing documentation. - Demonstrated ability to work effectively in startup-like conditions: tight deadlines, shifting priorities, incomplete information, and rapid cycles. - Hands-on experience running purchasing and material management through an ERP system. - Confident negotiator, commercially and technically, able to influence engineers, program managers and suppliers without formal authority. - Professional English, written and spoken. NICE TO HAVES: - Engineering Electronics Background, knowledge of the tools and technical understanding/background of designs. - Experience in space, aerospace, defence, hardware startups or other deep-tech R&D environments. - Exposure to taking a hardware design from prototype into series production. - Existing relationships with PCB/PCBA vendors, distributors and electronics manufacturing partners. - Certifications (APICS, PMP, Six Sigma) useful but not required. - Familiarity with rapid-prototyping suppliers, global component marketplaces, and digital sourcing tools. APPLICATION PROCESS - Talent Acquisition Interview - Hiring Manager interview - Task Stage - Task-based interview - Final Interview WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Attraction will confirm what applies for this role and location during the process. Base salary range for this position is dependent on experience, and will be negotiated individually. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: London, UK Workplace: Hybrid Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. Regional Marketing Manager EMEA Sensor Tower Location: London, UK Work arrangement: Hybrid, with 2-3 days per week in the office Organization: Marketing Level: Director; initially an individual contributor, with future team leadership About the role Sensor Tower is seeking a Regional Marketing Manager to drive marketing across Europe, the Middle East, and Africa (EMEA). Based in London, you will help create and implement Sensor Tower’s regional marketing strategy, building awareness, generating demand, and supporting pipeline growth in partnership with regional Sales and our global Marketing organization. This is a broad marketing role with an emphasis on product marketing and brand marketing. You will develop a strong grasp of our products and customer use cases, translating complex capabilities into clear, persuasive messaging for EMEA audiences. Working closely with Product, Sales, Engineering, and Customer Success, you will contribute regional insights to global launches and adapt global programs for local markets. This is a director-level position that will begin as a hands-on individual contributor. You will set priorities, write content, and deliver programs directly, while establishing the foundation to build and lead an EMEA marketing team over time. What you will do - Drive the EMEA product marketing strategy and plan, aligning regional priorities with sales goals, global go-to-market strategies, and opportunities across the region. - Work with Product and Engineering to understand product capabilities and translate technical information into customer value propositions and relevant use cases. - Partner with global Marketing and Product on product and feature launches and beta programs, bringing EMEA buyer needs into planning and leading regional messaging and activation - Help plan and execute integrated campaigns across content, email, digital channels, account-based marketing, and events to generate qualified pipeline and support deal progression. - Collaborate with other marketing leaders on regional events. - Equip regional Sales teams with localized pitch decks, competitive battlecards, product presentations, and case studies that address customer needs and objections. - Gather customer feedback, competitive intelligence, and market insights across EMEA. Share actionable findings with global teams to inform product and marketing decisions.   - Establish scalable marketing processes, identify future hiring needs, and build and develop the regional marketing team as the function grows. What you will bring - Significant B2B marketing experience, with a track record of driving regional strategy and delivering results at a senior or director-level scope.   - Exceptional writing and editing skills in English, including the ability to explain complex products and data clearly to different buyer audiences. - Experience adapting global strategies for EMEA, with an understanding of regional differences in buying behavior and market needs. - The ability to build product knowledge quickly and partner effectively with Product and Engineering on messaging and launches. - Strong cross-functional collaboration and influence, including partnership with regional Sales and global teams across time zones. - Experience using CRM, marketing automation, and analytics tools to measure performance and guide decisions. - Sound strategic judgment and prioritization, with the willingness to execute directly and the leadership skills to build a team over time. - Broad hands-on experience across demand generation, field marketing, content, and account-based programs, with evidence of pipeline impact Preferred experience - Experience in SaaS, MarTech, AdTech, digital market intelligence, or data products. - Experience hiring, mentoring, or managing a marketing team. - Familiarity with Salesforce, Looker, or buyer intent platforms. - Additional language skills relevant to EMEA markets. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Boston, MA Workplace: OnSite At WHOOP, we’re on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable technology collects rich physiological data, providing members with actionable insights into their recovery, training, and sleep. We are seeking a Staff AI/ML Researcher to join our Foundation AI team. This team builds the multimodal foundation models that underpin WHOOP’s next generation of intelligent, personalized, and health-enhancing experiences. These models integrate data across wearable sensors, language, biomarkers, clinical information, and self-reported inputs to create scalable AI systems that understand human physiology and behavior. In this role, you’ll serve as a staff individual contributor driving the research, development, and deployment of large-scale multimodal models. You’ll collaborate closely with data scientists, ML engineers, and cross-functional partners to push the boundaries of deep learning and ensure our models deliver measurable value to WHOOP members. RESPONSIBILITIES: - Design, train, and optimize large-scale multimodal foundation models that integrate wearable sensor data, text, biomarkers, and behavioral data. - Conduct applied research in self-supervised learning, representation learning, and downstream task fine tuning to advance WHOOP’s core model capabilities. - Develop scalable, distributed training pipelines for large models on high-performance compute environments. - Collaborate with MLOps, data engineering, and software engineering teams to operationalize models for production deployment, ensuring robustness, reproducibility, and observability. - Partner with product and research teams to translate foundation model capabilities into downstream features that deliver meaningful member value. - Contribute to the technical roadmap and architectural direction for foundation model development at WHOOP. - Serve as a technical mentor for other data scientists, sharing best practices in deep learning, large-scale training, and multimodal data integration. - Ensure models adhere to WHOOP’s standards for ethical, transparent, and privacy-preserving AI. QUALIFICATIONS: - Advanced degree (Master’s or Ph.D.) in Computer Science, Machine Learning, Electrical Engineering, or a related field, or equivalent professional experience. - 7+ years of experience in applied ML, AI research, or large-scale modeling, with a track record of delivering production systems. - Expertise in modern deep learning (e.g., transformers, state space models), multimodal model training. - Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow). - Experience building and scaling large datasets and training large models in mulit-node, multi-gpu distributed compute environments. - Familiarity with best practices for data, model, and context parallelisms. - Strong applied experience with representation learning, self-supervised methods, and post-training for downstream applications. - Experience with reinforcement learning for post-training foundation models (PPO, DPO, GRPO etc.). - Familiarity with MLOps best practices including model versioning, evaluation, CI/CD for ML, and cloud-based compute. - Excellent communication skills and ability to collaborate cross-functionally with engineers, researchers, and product teams. - Passion for WHOOP’s mission to improve human performance and extend healthspan through science and technology. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable technology collects rich physiological data, providing members with actionable insights into their recovery, training, and sleep. We are seeking a Senior Applied ML Algorithm Engineer to develop and deploy signal processing algorithms and machine learning models that transform raw sensor data into accurate, reliable, and real-time physiological insights on WHOOP devices. In this hands-on role, you will own algorithm development from data analysis, model training, and Python prototyping through efficient C/C++ implementation, firmware integration, and production validation. Working closely with Data Science, Firmware, Hardware, and domain experts, you will deliver robust on-device algorithms that improve the member experience while meeting the power, memory, compute, and latency constraints of wearable hardware. RESPONSIBILITIES: - Design and develop algorithms that combine signal processing, feature extraction, and machine learning to derive meaningful physiological insights from wearable sensor data. - Analyze large-scale, noisy sensor datasets to train and evaluate models, identify performance gaps, and improve accuracy, robustness, and generalization across diverse members and real-world conditions. - Translate algorithm prototypes and trained models into production-ready C/C++ implementations, optimizing signal processing pipelines and on-device inference for accuracy, power, memory, compute, and latency. - Partner closely with Firmware and Hardware teams to integrate algorithms into production firmware, validate execution on target hardware, and resolve differences between prototype and embedded performance. - Define performance metrics and rigorous validation plans, combining offline evaluation, lab-based experiments, real-world data analysis, and on-device testing to assess algorithm accuracy, reliability, and efficiency. - Collaborate with Data Science, Software, Product, and domain experts to translate research findings into production-ready capabilities, investigate post-deployment performance gaps, and drive continuous algorithm improvement. QUALIFICATIONS: - 5+ years of experience developing signal processing and machine learning algorithms for time-series or sensor data in real-world applications. - MS or PhD in Electrical Engineering, Biomedical Engineering, Computer Science, or a related quantitative field, or equivalent practical experience. - Strong foundation in digital and statistical signal processing for noisy time-series data. Experience with physiological signals or wearable sensors is a plus. - Proficiency in Python for data analysis, model development, and experimentation, and C/C++ for implementing efficient algorithms in embedded firmware. - Experience developing, training, and evaluating machine learning models using frameworks such as TensorFlow, PyTorch, or scikit-learn. - Demonstrated experience deploying machine learning models to resource-constrained embedded systems, including optimization across accuracy, power, memory, compute, and latency. - Ability to independently investigate complex algorithmic problems, design rigorous validation experiments, and communicate technical tradeoffs with firmware, hardware, and data science partners. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-Verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable technology collects rich physiological data, providing members with actionable insights into their recovery, training, and sleep. We are seeking a Senior Sensor Algorithm Engineer to develop and deploy algorithms for physiological sensors including optical sensor and inertial measurement unit (IMU) data into accurate, reliable, and real-time insights on WHOOP devices. This hands-on role centers on digital and statistical signal processing, sensor fusion, and model-based state estimation, with a particular focus on accelerometer and gyroscope data. You will own algorithm development from sensor characterization, mathematical modeling, and Python prototyping through efficient C/C++ implementation, firmware integration, and production validation. Working closely with Firmware, Hardware, Data Science, and Product, you will deliver robust on-device algorithms that perform reliably across diverse members and real-world conditions while meeting the constraints of wearable hardware. RESPONSIBILITIES - Design and develop real-time signal processing and sensor fusion algorithms that combine Sensor measurements inputs to characterize motion and deliver reliable member-facing insights. - Develop and tune model-based estimators for orientation and motion, including sensor bias estimation, uncertainty propagation, and drift mitigation under changing movement and sensing conditions. - Build robust IMU processing pipelines, including filtering, calibration, time synchronization, resampling, coordinate transformations, and compensation for sensor noise and systematic errors. - Analyze large-scale, noisy wearable datasets to identify failure modes and improve robustness across motion patterns, device orientation, fit, and individual movement characteristics. - Translate algorithm prototypes into production-ready C/C++ implementations, balancing accuracy with power, memory, compute, numerical stability, and latency. - Partner with Firmware and Hardware teams on sensor configuration, sampling strategies, and on-device integration; investigate differences between prototype behavior and performance on target hardware. - Define performance metrics and rigorous validation plans using reference measurements, controlled experiments, real-world data, and on-device testing to assess accuracy, robustness, and long-duration stability. - Own technical decisions for complex algorithm components, contribute to design and code reviews, mentor teammates, and collaborate across functions to investigate post-deployment issues and drive continuous improvement. QUALIFICATIONS - 5+ years of experience developing and deploying signal processing, sensor fusion, or state-estimation algorithms for real-world sensor applications, including substantial hands-on work with IMU data. - MS or PhD in Electrical Engineering, Biomedical Engineering, Computer Science, Applied Mathematics, or a related quantitative field, or equivalent practical experience. - Strong foundation in digital and statistical signal processing, including filtering, spectral analysis, stochastic processes, and sensor noise characterization. - Demonstrated experience with accelerometer and gyroscope processing, IMU calibration, sensor error modeling, bias estimation, and drift management. - Strong experience with Kalman filtering, including extended or error-state formulations, and model-based sensor fusion; practical understanding of nonlinear estimation, uncertainty propagation, and estimator failure modes. - Practical knowledge of 3D motion and orientation representations, including coordinate frames, rotation matrices, quaternions, and rigid-body kinematics. - Proficiency in Python for algorithm development, data analysis, and experimentation, and C/C++ for efficient embedded implementation; demonstrated experience deploying algorithms to resource-constrained hardware. - Ability to independently investigate complex algorithmic problems, design rigorous validation experiments, and communicate technical tradeoffs with firmware, hardware, and cross-functional partners. - Experience with body-worn sensors, human-motion modeling, motion segmentation, or periodicity analysis is highly desirable. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don't meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-Verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

— ASO-стратегия, семантика, метаданные, локализации; — Анализ конкурентов, ТЗ дизайнерам;

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level and live longer through a deeper understanding of their bodies and daily lives. WHOOP is seeking a Director of Embedded Software Engineering to lead our Firmware organization and the embedded software at the core of every WHOOP device. This leader will set the technical and organizational direction for Firmware, develop engineering managers and senior technical leaders, and ensure the organization delivers reliably across an ambitious roadmap of new products, platform investments, and continuous improvements to products already in the field. Firmware sits at the intersection of WHOOP’s hardware, sensing, algorithms, mobile software, manufacturing, and member experience. This role will lead multiple teams responsible for building stable, accurate, and power-efficient firmware platforms that operate continuously in highly constrained wearable devices. You will translate business and product priorities into clear technical strategies, build an organization capable of executing at scale, and strengthen the processes and platforms through which WHOOP develops and delivers firmware. RESPONSIBILITIES: - Lead and scale multiple Firmware teams with clear ownership and accountability, hiring and developing engineering managers, technical leaders, and senior individual contributors. - Set the multi-year strategy for firmware in alignment with product and business priorities. - Own predictable delivery across new products, platform investments, and sustaining work. - Raise the firmware development and quality bar through strong planning, architecture and design reviews, CI/CD, automated testing, validation, release practices, and field feedback. - Guide system architecture and major technical decisions that account for tradeoffs across member experience, power, performance, quality, cost, schedule, and long-term platform health. - Partner across Hardware, Sensor Intelligence, Algorithms, Mobile, Product, Manufacturing, Quality, and Program Management to bring products from concept through production and continuous improvement. - Establish meaningful engineering metrics and adopt tools and AI-enabled practices that improve quality and productivity. QUALIFICATIONS: - Proven experience leading multiple firmware or embedded software teams through engineering managers and senior technical leaders. - Extensive experience shipping firmware for high-volume, constrained products. - Deep technical fluency in C/C++, RTOS-based architectures, microcontrollers, device drivers, connectivity, low-power systems, and hardware-software integration. - Track record of setting firmware architecture and improving development practices, including planning, design reviews, CI/CD, automated testing, release management, and quality measurement. - Strong communication and leadership skills, with the ability to align Product, Hardware, Algorithms, Manufacturing, and senior leaders around clear priorities and decisions. - Bachelor’s or advanced degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field, or equivalent professional experience. Experience developing battery-constrained wearable products, physiological sensing systems, or other products in which firmware directly affects data accuracy preferred. - Familiarity with embedded security, secure boot, over-the-air updates, device identity, and production provisioning preferred. - Experience scaling engineering organizations in a high-growth environment and working with global suppliers or contract manufacturers preferred. Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework https://engineering.prod.whoop.com/careerframework.   This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $220,000-$245,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.   Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.

Location: San Francisco, CA Workplace: Hybrid About Niantic Spatial AI has learned from almost everything online, but it still struggles with the physical world, where 99.5% of economic activity happens. It doesn’t know where things are, how spaces fit together, or what changes over time. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. About the Team Localization is where the map meets the moment. Our localization team builds the living geospatial world model and the centimeter-level Visual Positioning System (VPS) that lets people and robots know exactly where they are, from any camera, almost anywhere on Earth. That system is learned, not hand-built. Our localization stack has moved from classical geometry to visual models trained on billions of posed images — models that have to be accurate to the centimeter, robust to lighting and seasons and clutter, and fast enough to run in production for every query. This team sits at the junction of research and production: we take what works in a paper, make it work on our data, and make it work for customers. About the Role We're hiring an AI Engineer, Computer Vision, to contribute to the deep learning models at the heart of our localization system. Working alongside experienced researchers and engineers, you'll help train and iterate on the visual models — feature extractors, matchers, pose regressors, and retrieval models — that turn a single image into a precise position in the world. This is a full-loop environment. You'll get exposure to the entire pipeline: the data the model learns on, training, evaluation, and the service that runs it in production. You'll be surrounded by people who care deeply about correctness — where a loss curve going down is not the same as a system getting better — and you'll grow into that rigor quickly. What You'll Do - Train and Evaluate Models — Implement, train, and evaluate visual localization models in PyTorch: local feature extraction and matching, image retrieval, pose regression, and scene-coordinate regression. Iterate on architectures, loss functions, and training loops to improve accuracy on real production captures. - Build Data Pipelines — Contribute to high-throughput ingestion and preprocessing pipelines that turn raw imagery, poses, and 3D point clouds into training-ready datasets, including curation, sampling, and augmentation. - Run Experiments at Scale — Run training jobs across GPU environments on our 30-billion-image corpus, working with senior engineers and ML Infrastructure to keep experiments reproducible and results interpretable. - Extend the Benchmark — Help build and maintain the evaluation suite for localization — pose accuracy, recall across lighting and season changes, and latency under production load — so results are comparable across model versions. - Support Production Deployment — Work with senior engineers to take models from checkpoint toward serving: export, inference optimization, and monitoring once live. Learn what it means to own a model end-to-end, not just hand off a checkpoint. - Bridge Research and Product — Work with the Research team and Real-World Test Lab to understand how field failures translate into training data and benchmark improvements. What You'll Bring - Experience training deep learning models for computer vision tasks in PyTorch — through coursework, research, internships, or early industry work. - Foundational understanding of at least one of: visual localization, learned feature matching, image retrieval, pose estimation, SLAM, or structure-from-motion, and the 3D geometry underneath them (camera models, epipolar geometry, pose parameterizations). - Comfort working with large image or 3D datasets — preprocessing, curation, and understanding how data quality affects model behavior. - Familiarity with GPU-based training and the ability to read and reason about training runs — identifying whether a bottleneck is in data loading, compute, or model architecture. - Strong Python skills and a habit of writing code that others can rerun and build on. - A bachelor's or master's degree in computer science, computer vision, robotics, or a related field, or equivalent practical experience. Nice to Have - Published or contributed to work on learned localization, visual place recognition, scene-coordinate regression, or vision foundation models (CVPR, ECCV, ICCV, NeurIPS, 3DV, or equivalent). - Experience with large-scale self-supervised or multi-view pretraining, or fine-tuning vision foundation models for geometric tasks. - Exposure to inference optimization for edge or mobile hardware (TensorRT, ONNX, CoreML, or similar). - Experience with petabyte-scale spatial data: point clouds, meshes, posed image collections, or geospatial indexing. - Background in robotics, augmented reality, 3D reconstruction, digital twins, or autonomous systems. - Prior industry or research internship experience shipping or contributing to a production CV system. Compensation & Benefits The expected salary range for this role is $165,600 - $221,000 per year. Compensation also includes an annual bonus, equity, and a comprehensive benefits package including medical, dental, and vision coverage, 401(k), and more. Location & Work Model This role is based in our San Francisco, CA office on a hybrid schedule with a minimum of 3 days per week in office. Inclusive Application We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed — you may be exactly who we're looking for. Equal Opportunity Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. Candidate Privacy I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

Location: Boston, MA Workplace: OnSite At WHOOP, we’re on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is seeking an Senior Algorithm Validation Scientist to join the Sensor Intelligence organization and help ensure our physiological sensing algorithms deliver accurate, equitable, and scientifically validated performance for our members. In this role, you will design rigorous statistical analyses and validation studies that evaluate algorithm performance throughout development and after deployment, translating complex real-world data into evidence that informs algorithm quality and product decisions. You’ll partner closely with scientists, engineers, and product teams to understand algorithm behavior, quantify uncertainty, identify opportunities for improvement, and help ensure members receive accurate and trustworthy insights. RESPONSIBILITIES - Design and execute rigorous statistical analyses and validation studies to evaluate the accuracy, precision, reliability, robustness, and generalizability of physiological sensing algorithms against reference-standard measurements - Develop equivalence and non-inferiority analyses for hardware revisions, manufacturing changes, algorithm updates, and other changes that may affect the member experience, defining appropriate performance metrics, confidence intervals, hypothesis tests, and uncertainty estimates - Evaluate algorithm performance across demographic groups, physiological characteristics, environmental conditions, and behavioral contexts to identify performance differences, edge cases, and opportunities to improve algorithm quality and equity - Analyze experimental and observational production data to understand real-world algorithm behavior and draw defensible conclusions, applying approaches such as within-subject designs, difference-in-differences, matching, and other methods to account for confounding factors - Develop reproducible analysis workflows and automated validation processes that enable analyses to be consistently repeated across new cohorts, hardware revisions, and algorithm releases - Partner with Algorithm Scientists, Machine Learning Engineers, Product Managers, Clinical Scientists, and Software Engineers to design validation protocols, establish statistical best practices, communicate findings to technical and non-technical audiences, and translate evidence into product improvements QUALIFICATIONS - Advanced degree in Statistics, Biostatistics, Data Science, Applied Mathematics, Biomedical Engineering, Epidemiology, or a related quantitative discipline, or equivalent practical experience - 3+ years of experience applying statistical methods to complex experimental or observational datasets, ideally within healthcare, medical devices, wearables, digital health, consumer technology, or a related field - Strong foundation in statistical inference, hypothesis testing, regression, experimental design, uncertainty quantification, and validation study design; experience with equivalence, non-inferiority, causal inference, method-comparison, or related approaches is a plus - Proficiency analyzing large datasets using Python, R, or similar statistical programming tools, along with SQL and experience working with large-scale data environments - Experience with physiological, wearable, biomedical sensor, time-series, or longitudinal data; experience evaluating machine learning or signal processing algorithms is a plus - Familiarity with advanced statistical methodologies such as mixed-effects models, Bayesian statistics, survival analysis, fairness and parity analysis, or related approaches - Strong communication and collaboration skills, with the ability to translate complex statistical findings into clear conclusions and recommendations for both technical and non-technical stakeholders - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-Verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Location: Boston, MA Workplace: OnSite At WHOOP, we’re on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable technology collects rich physiological data, providing members with actionable insights into their recovery, training, and sleep. We are seeking a Staff Applied Machine Learning Scientist to develop and continuously improve production-ready edge algorithms that transform sensor data into accurate, reliable, and real-time physiological insights. In this role, you will develop innovative approaches that combine deep learning, machine learning, and signal processing to deliver meaningful value to WHOOP members while optimizing for accuracy, latency, power, and scalability across wearable platforms. You will work closely with a cross-functional team of scientists, engineers, physiologists, and hardware experts to solve challenging problems at the intersection of wearable sensing, physiological modeling, and applied AI. You will develop novel modeling approaches, and own complex algorithmic problems from early development through production deployment and continuous improvement. Your work will directly shape the future of WHOOP’s sensing capabilities and our ability to provide members with accurate, personalized, and actionable insights into their health and performance. RESPONSIBILITIES: - Design advanced algorithms that combine signal processing, physiological modeling, machine learning, and deep learning for physiological time-series and multimodal sensor data, with a focus on accuracy, robustness, and generalization across diverse members and real-world conditions. - Own the development and continuous improvement of production-ready edge algorithms that transform multimodal sensor data into accurate, reliable, and real-time physiological insights. - Analyze large-scale wearable sensor datasets to identify performance gaps, characterize challenging conditions, and drive data-informed algorithm improvements. - Define rigorous evaluation methodologies, validation frameworks, and performance metrics to assess algorithms throughout development and deployment. - Optimize algorithms for embedded deployment, balancing accuracy with power, memory, latency, and compute constraints across current and future wearable platforms. - Set technical direction and establish best practices for modeling, experimentation, validation, and algorithm development across complex sensing problems. - Pursue ambiguous, high-impact technical initiatives from research and prototyping through validation, production deployment, monitoring, and continuous improvement. - Collaborate closely with Data Science, Firmware, Software, Hardware, Product, and domain experts to translate algorithmic innovations into production-ready capabilities and member-facing features. - Stay at the forefront of advances in deep learning, machine learning, signal processing, edge AI, and physiological sensing, and translate relevant innovations into differentiated WHOOP capabilities. QUALIFICATIONS: - MS or PhD in Electrical Engineering, Biomedical Engineering, Computer Science, Machine Learning, Applied Mathematics, or a related quantitative field. - 7+ years of experience developing and deploying machine learning, deep learning, and/or signal processing algorithms for complex real-world applications. - Deep technical expertise in modern machine learning and deep learning methods, particularly for time-series and multimodal sensor data. - Strong foundation in digital and statistical signal processing, with the ability to combine classical signal processing techniques with modern learning-based approaches. - Strong proficiency in Python for algorithm development, experimentation, and large-scale data analysis; experience with C/C++ and embedded algorithm development is highly desirable. - Demonstrated ability to develop robust models using large, noisy, real-world datasets and achieve strong generalization across diverse conditions. - Experience designing rigorous experiments, defining performance metrics, performing error analysis, and translating findings into algorithm improvements. - Experience taking algorithms through the full development lifecycle, from research and prototyping through validation, deployment, monitoring, and continuous improvement. - Strong analytical and problem-solving skills, with the ability to navigate ambiguity and make sound technical decisions. - Experience with physiological signals, wearable sensors, or biomedical sensing is highly desirable. - Experience optimizing algorithms for resource-constrained embedded or edge environments, including tradeoffs across accuracy, power, memory, compute, and latency, is a plus. - Strong commitment to embracing and leveraging AI tools in day-to-day work while maintaining high standards for quality and rigor. Join us in pushing the boundaries of wearable sensing, applied AI, and physiological intelligence and positively impacting people’s lives! This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-Verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring an Edge Algorithm Integration Engineer to join the Edge ML team and bring Sensor Intelligence algorithms from validated reference implementations to production execution on WHOOP devices. You will own the technical path from reference algorithm to edge deployment, translating and optimizing algorithms for embedded hardware, resolving cross-platform dependencies, integrating with firmware and sensor infrastructure, and ensuring implementations preserve expected algorithm performance. You will work across Sensor Intelligence, Firmware, Edge ML Platform, Mobile, Cloud, and Connectivity teams to enable algorithms to run reliably and efficiently within the compute, memory, latency, and power constraints of WHOOP devices. RESPONSIBILITIES: - Own the end-to-end technical path for porting developed and validated Sensor Intelligence algorithms from reference environments to production-ready implementations on WHOOP embedded platforms. - Translate Python, MATLAB, and other reference implementations into efficient, production-quality C/C++, optimizing signal-processing and machine-learning algorithms for compute, memory, latency, power, and real-time execution. - Understand algorithm architecture, data flow, runtime requirements, and dependencies across cloud, mobile, connectivity, sensor pipelines, libraries, and platform services; drive the technical work required to resolve or redesign dependencies for on-device execution. - Integrate algorithms with firmware, sensor pipelines, embedded services, and Edge ML platform capabilities, partnering closely with Sensor Intelligence and Firmware teams to define interfaces, requirements, acceptance criteria, and system-level behavior. - Establish functional and numerical equivalence between reference and edge implementations, profile on-device performance, and debug complex issues spanning algorithms, sensors, firmware, and embedded systems. - Build reusable tools, test harnesses, profiling infrastructure, and deployment patterns that accelerate future algorithm migrations and enable efficient portability across current and next-generation WHOOP hardware platforms. QUALIFICATIONS: - BS/MS in Computer Engineering, Electrical Engineering, Computer Science, or a related technical field, or equivalent practical experience. - Strong C/C++ software development experience with embedded, real-time, or resource-constrained systems, including an understanding of memory management, compute limitations, latency, and power constraints. - Experience porting, integrating, or optimizing signal-processing or machine-learning algorithms for MCU-based, embedded, or edge platforms, including translating implementations from Python, MATLAB, or similar reference environments. - Experience profiling and optimizing embedded software for runtime, memory footprint, computational efficiency, and/or power, with strong debugging skills across algorithm and systems boundaries. - Strong systems thinking and software integration skills, with the ability to understand complex dependencies and collaborate across algorithm, firmware, platform, and other engineering teams to drive technical issues to resolution. - Experience with one or more relevant embedded optimization technologies or techniques, such as DSP optimization, fixed-point implementation, quantization, model compression, ARM Cortex-M, DSPs, NPUs, RTOS environments, CMSIS-DSP/CMSIS-NN, or TensorFlow Lite Micro. - Experience with physiological sensing, wearable devices, time-series sensor data, low-power systems, or establishing functional and numerical equivalence between reference and embedded implementations is a plus. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Location: Costa Mesa, United States 📍 Location: Costa Mesa, California, USA 📄 Employment Type: Full-Time 🏢 Work Arrangement: Remote Opportunity 🚀 Start Date: Immediate 💰 Compensation: TBD -- based on skills and experience Important Screening Requirements Must be a U.S. Citizen or U.S. Permanent Resident (Green Card holder) . Must be eligible to obtain and maintain an active U.S. Security Clearance . Candidates should have a strong interest in supporting advanced defense and national security programs. About the Role We are seeking an experienced Electrical Engineer, Avionics Design to support the design, development, integration, and testing of advanced avionics and embedded electronic systems. In this role, you will lead full-cycle PCB development, design power management systems, integrate embedded hardware, and collaborate with multidisciplinary engineering teams to deliver mission-critical aerospace solutions. The ideal candidate has a strong background in mixed-signal electronics, power systems, PCB design, and embedded hardware development. Key Responsibilities Lead full-cycle PCB design, including requirements gathering, schematic capture, component selection, layout review, bring-up, testing, debugging, and system integration. Design and integrate microcontroller-based systems and support hardware bring-up activities. Troubleshoot complex hardware and software integration issues using laboratory equipment and software debugging tools. Design and integrate power management systems and power distribution architectures. Develop payloads and electronic subsystems, including sensors, networking, payload interfaces, and power management solutions. Create system interconnect diagrams and define cable harnesses for subsystem integration. Collaborate with electrical, mechanical, software, firmware, and test engineering teams throughout the product development lifecycle. Participate in peer design reviews and cross-functional engineering reviews to ensure high-quality system designs. Required Qualifications Bachelor's degree in Electrical Engineering or an equivalent engineering discipline. 3+ years of experience designing, testing, and troubleshooting complex electrical systems. Experience performing power system analysis, electrical loading analysis, simulation, and validation. Strong experience with: Power design and power management systems Microcontroller design and hardware bring-up Mixed-signal PCB design, including multilayer boards, impedance matching, grounding, filtering, and board protection Low- and high-voltage power electronics and control systems System interconnect diagrams and cable harness design Proficiency using laboratory equipment, including: Oscilloscopes Digital Multimeters (DMMs) Spectrum Analyzers Logic Analyzers Benchtop Power Supplies Electronic Loads Familiarity with thermal and EMI testing environments. Knowledge of common communication interfaces, including: CAN I2C SPI Ethernet RS-232/422 RS-485 USB Excellent communication, organizational, analytical, and problem-solving skills. Must be eligible to obtain and maintain an active U.S. Security Clearance . Preferred Qualifications Experience designing embedded systems for aerospace, defense, or high-end consumer electronics. Experience with battery systems, AC power systems, and advanced power distribution architectures. Experience developing low-level firmware for hardware bring-up and testing. Background supporting defense, aerospace, or missile systems. Strong understanding of the effects of temperature, vibration, and harsh operating environments on electrical system design.

Location: Hong Kong Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities. Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore Have Fun and Is Motion Gaming Back? , as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations. Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities. Important Notice: ⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in @nex.inc . If you receive a suspicious email or message, please do not respond and report it immediately to us. Location: Hong Kong This is an initial two-month, part-time engagement, with potential for extension subject to performance, business needs, and mutual agreement. The Role Nex creates active-play experiences that bring people together through movement and games. Working with our Core Technology team, you’ll build and refine electronics and enclosures, collaborating with software engineers and researchers to turn concepts into reliable, usable prototypes. This is a hands-on prototyping role, not a mass-production hardware program. The Mindset You’re a practical builder, comfortable with schematics, soldering, CAD, and testing. You balance speed with engineering discipline, make sensible build-versus-buy trade-offs, and take ownership of the complete prototype. What You'll Do Design and modify circuits and PCBAs; select and integrate components. Create mechanical CAD, 3D-printed enclosures, and practical mounting solutions. Assemble, bring up, rework, and debug prototypes using lab measurements. Collaborate on firmware and software integration, resolving interface, connectivity, and power issues. Iterate quickly from test findings and build consistent, reliable prototype units. Document schematics, PCB files, BOMs, CAD, assembly instructions, and known limitations. Success Looks Like Fast iteration from identified problems to tested improvements. Usable, consistent prototypes that withstand repeated testing and handling. Clear documentation enabling the team to maintain and reproduce builds. What You Bring Demonstrated experience building working electronic prototypes, including circuit design, board bring-up, soldering, rework, and debugging. Hands-on experience with mechanical CAD and rapid enclosure prototyping, such as 3D printing. Experience integrating microcontrollers, sensors, wireless modules, and battery-powered electronics. Confidence using oscilloscopes, multimeters, logic analysers, and other practical debugging tools. Ability to work independently, make sensible trade-offs, and deliver within a short iteration cycle. Clear communication and documentation skills, including explaining issues and options to software engineers. Availability to work on-site in Hong Kong on a half-time basis for a two-month engagement. Preferred Experience with Bluetooth-connected devices, sensors, or interactive hardware. Embedded C/C++ skills and experience modifying firmware for device bring-up and diagnostics. Experience with compact, battery-powered consumer-device prototypes. Familiarity with component sourcing, PCB fabrication, and local rapid-prototyping suppliers. Experience preparing hardware for hands-on user evaluation. Interest in games, physical interaction design, or consumer electronics. If you are interested in this position, please share your CV and examples of hardware you’ve built—photos, videos, or brief write-ups are welcome. Describe your contribution, a problem you solved, and how you tested it. Include your availability, proposed schedule, and contractor rate. We Offer Competitive compensation package. Flexible working hours and vacation policy. Product-driven culture that treasures talents and individual growth. Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field Nex is located in San Jose, California, USA and Hong Kong . Learn more about us at https://www.nexplayground.com/about . We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms! Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination. We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.