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About the Company DeepReach is building the next-generation data infrastructure for robotics. We help bridge the gap between promising robot models and real-world deployment by building the systems, data pipelines, and learning loops needed to make robots improve in production. We believe robotics progress will be driven not just by better models, but by better data engines: how data is collected, filtered, evaluated, and turned into measurable gains on real tasks. Our team works across robot deployment, teleoperation, data generation, model training, and evaluation, with a strong bias toward hands-on execution and fast iteration. About the Role This combined opening covers three core technical tracks for our robotics team: • Computer Vision (Perception), • VLA & Robot Learning, • ML Infrastructure You will be matched to the track aligned with your background after application. All roles focus on applied research, real physical robot deployment, closing the loop between data, models and production performance, and fast iteration in a startup environment. Responsibilities Track 1：Member of Technical Staff, Computer Vision • Build and improve computer vision pipelines for robotics, including perception for manipulation, scene understanding, tracking, and multi-camera systems, • Work on camera calibration, synchronization, sensor integration, and data quality improvement for real-world robot setups, • Develop tools and pipelines for generating, filtering, curating, and validating robotics vision datasets, • Support data collection and annotation workflows by improving visual quality, consistency, and task relevance, • Design experiments to measure how perception improvements affect downstream robotic performance, • Debug perception failures in real environments, including issues caused by lighting, motion blur, occlusion, calibration drift, or sensor noise, • Read and implement recent vision research, reproduce promising methods, and adapt them to production robotics workflows Track 2：Member of Technical Staff, VLA • Train and fine-tune VLA, diffusion policy, or related robot learning models for real-world tasks, • Build data and training pipelines that turn deployment and teleoperation data into better policy performance, • Design experiments to identify what actually improves task success rates on real robots, • Collaborate with data and deployment teams to close the loop between model failures and data collection strategy, • Deploy and debug learned policies on physical robot systems, including robot arms, grippers, and multi-camera setups, • Define internal evaluation frameworks tied to real operational tasks rather than benchmark-only performance, • Read and implement recent papers, reproduce promising results, and adapt them for our stack and constraints Track 3：Member of Technical Staff, ML Infrastructure • Build and maintain the infrastructure for robotics data processing, model training, evaluation, and experiment management, • Develop scalable pipelines for ingesting, filtering, curating, versioning, and serving robotics datasets, • Improve internal tooling for training runs, distributed jobs, checkpointing, dataset management, and metrics tracking, • Build systems that connect deployment data, teleoperation data, and model evaluation into a fast iteration loop, • Collaborate with research and deployment teammates to remove bottlenecks in training and evaluation workflows, • Design internal benchmarks and experiment infrastructure that make model progress measurable and reproducible, • Read and adapt ideas from research and open-source tooling to improve our internal platform Qualifications • Bachelor’s degree or equivalent practical experience in Computer Science, Robotics, Electrical Engineering, or a related field Required Skills • Strong background in computer vision for real-world systems, • Experience with one or more: multi-view geometry, calibration, visual tracking, segmentation, detection, 3D vision, point clouds, depth sensing, video understanding, • Strong coding skills in Python and solid experience with PyTorch or related vision tooling, • Ability to move from research ideas to robust working systems, • Real-world experience working with physical camera and sensor systems in robotics, • High ownership mindset and comfort in a fast-paced startup Preferred Skills • Strong hands-on background in robot learning: imitation learning, RL, diffusion policies, VLA, visuomotor policies, • Strong PyTorch skills and experience with modern model training workflows, • Ability to move from paper to implementation quickly and independently, • Strong systems intuition across perception, policy, and control, • Real-world experience deploying or debugging policies on physical robots, • High ownership mindset and comfort in an early-stage, fast-changing environment Pay range and compensation package Salary reference: $130K - $180K per year Equal Opportunity Statement We conduct regular resume screening for applications from both channels simultaneously. If your profile passes the initial review, our team will send an interview invitation via email for further communication. After shortlisting, we will match your background to the suitable track: Computer Vision / VLA / ML Infrastructure, and share the full role details accordingly. How to Apply You may apply in two optional ways: • Directly submit your resume by applying to this position on the current job platform;, • Visit our official website ___ to find and submit your application for the corresponding combined role.

To support our rapidly growing customer base in North America, we are looking for an experienced, enthusiastic, and driven Sr. Customer Program Manager to support our Automotive business. Responsibilities • Articulate key program information internally and externally to stakeholders and key program sponsors., • Develop and deliver the defined program scope to ensure customer requirements are successfully achieved., • Represent company interests at customer meetings, build events, and communicate via other means of communication., • Perform planning activities such as WBS, project charters, and project plans. Follow defined methods and procedures for implementing new program development through the launch of the product, • Coordinate program activities., • Perform program-level Risk/Impact Analysis reviews and define and record recovery strategies, including response plans and role ownership., • Construct and maintain detailed Gantt charts to the performance baseline representative of the SOW detailed in the defined project plans., • Perform critical path analysis and work with the internal team to generate recovery plans to safeguard program milestones., • Support Change Management activities to achieve program objectives., • Provide leadership during program assessments with appropriate corporate/plant personnel., • Prepare various program reports to confirm Scope/Quality/Cost of the program are on track., • Owns accounts and identifies and realizes opportunities within the Automotive market., • Builds multi-level customer relationships to support account strategy and coordinate the use of internal resources, including local application engineers and business unit staff, and overseas design teams to drive design wins, • Provides value-added feedback on customer needs to management, business units and customer service teams Qualification What we look for • A result-oriented, driven, and enthusiastic Program Manager with extensive launch experience with Automotive customers (OEMs) in NA., • Demonstrated background in driving success in the Automotive Market at a Tier 1 supplier., • Bachelor's degree in Electronics/Electrical Engineering/Computer Engineering or equivalent., • 8+ years' experience in new product development or program/project management., • Demonstrated ability to manage various engineering disciplines, including Software, Hardware, Mechanical, Functional Safety, and Cybersecurity., • Product Development experience from quote to production on camera/radar/ECUs/ADAS/displays or similar electrical products, • Experience managing within a matrixed environment, including Quality, Purchasing, Engineering, Sales, and Finance., • Strong interpersonal skills and a team player with the ability to work effectively on cross-functional teams. Nice to Have • MBA or Meng, • PMP certification or equivalent experience/certificate, • Global Product Development experience, • A background in launching opto-mechatronic/ sensor solutions (Lidar/ Camera/ 3D systems)

A venture-backed Physical AI company based in San Francisco is partnering with us to hire an AI Engineer to work on cutting-edge multi-modal AI agent systems. This team is building intelligence that can perceive, reason, and act in the physical world by combining large language models, vision models, and real-world data streams. About the Role This role sits at the intersection of AI research and production engineering, focusing on building robust agent architectures capable of reasoning across text, images, video, and sensor inputs. Responsibilities • Design and develop multi-modal AI agents capable of reasoning across text, vision, and sensor data, • Build agent architectures leveraging vision models, and tool-use frameworks, • Implement planning, memory, and decision-making pipelines for autonomous systems, • Develop scalable inference pipelines for real-time AI applications, • Work on integrating AI models with physical systems, robotics, or sensor environments, • Optimize models and systems for latency, reliability, and real-world deployment, • Collaborate with cross-functional teams to bring AI systems from research to production Qualifications • Strong experience building AI agents or agentic systems, • Hands-on experience with multi-modal AI models (LLMs + Vision / Video / Sensor data), • Strong Python skills and experience with PyTorch or similar deep learning frameworks, • Experience with LLM orchestration frameworks (LangChain, LlamaIndex, Semantic Kernel, or similar), • Experience working with tool-using agents, planning frameworks, or autonomous workflows, • Familiarity with distributed systems or production ML systems Required Skills • Strong experience building AI agents or agentic systems, • Hands-on experience with multi-modal AI models (LLMs + Vision / Video / Sensor data), • Strong Python skills and experience with PyTorch or similar deep learning frameworks, • Experience with LLM orchestration frameworks (LangChain, LlamaIndex, Semantic Kernel, or similar), • Experience working with tool-using agents, planning frameworks, or autonomous workflows, • Familiarity with distributed systems or production ML systems Pay range and compensation package The role is offering a salary of up to $300,000 per annum and will work on a hybrid working schedule. The role will come with a significant equity portion also.

Looking for ADAS engineer with following skills - Experience with CAN, Ethernet, FlexRay, ADAS systems Sensor Technologies: radar, lidar, and camera systems including sensor fusion. Configuration, calibration, and validation

Welcome to Planet. We believe in using space to help life on Earth. Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one. Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world's toughest obstacles. As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains. We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world. Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands. About the Role: Planet is looking for a Senior Engineering Manager with a proven background in guiding and mentoring high-performing engineering teams. In this role, you will be responsible for the Defense Intelligence Integration engineering team. The mission of this team is to bring Planet's catalog of imagery and tasking to large Defense & Intelligence customers. Your work will be highly visible and will directly impact the ability of customers to get faster access to Planet's unprecedented datasets This is very much a "servant leadership" role, with a high emphasis on enabling your team members to do their best work in an environment that sets them up for success. In particular, you'll ensure engineers are unblocked on dependencies, take the lead in defining the team's work, and organize that work in a way that best aligns with organizational and team practices. The team has a highly collaborative culture and is distributed remotely across the Earth. This is a full-time, remote position based in the United States. If located near an office, you are expected to work from that office 3 days per week. Impact You'll Own: • Guide your team of software engineers and data scientists to deliver successful products for the Global Monitoring Service., • Mentor, coach and unblock your team members, helping them succeed and grow their careers., • Ensure efficient shipping of product improvements and features., • Partner with your product management counterpart to define strategy and take tactical decisions., • Refine and implement team processes, including for task planning, code reviews and on-call rotations., • Establish sound engineering practices to build software and design training & inference pipelines., • 6+ years of related experience., • 4+ years of experience as a manager, with ability to build, retain, and grow diverse, geographically dispersed teams., • Bachelor's degree in a relevant field., • Excellent interpersonal skills, both verbal and written, with the ability to explain complex technical issues accurately to technical and non-technical audiences., • Experience in delivering data-intensive software products at scale., • Solid understanding of fundamentals in software engineering, statistics and machine learning., • Success in establishing and evolving operational practices in a software engineering organization., • Experience with change management, managing tech debt, and analyzing tradeoffs in solution builds., • Experience building products using sensor or geospatial data., • Experience working with satellite or airborne earth observations data. May 16, 2026 at 11:59p PT EAR/ITAR Requirements: This position requires access to export-controlled information, and as such, employment (or hiring of a contractor) is contingent upon the candidate's ability to access all applicable export-controlled information without additional export licensing being required by the Bureau of Industry and Security and/or the Directorate of Defense Trade Controls. Benefits While Working at Planet: These offerings are dependent on employment type and geographical location, based upon applicable law or company policy. • Comprehensive Medical, Dental, and Vision plans, • Health Savings Account (HSA) with a company contribution, • Generous Paid Time Off in addition to holidays and company-wide days off, • 16 Weeks of Paid Parental Leave, • Wellness Program and Employee Assistance Program (EAP), • Home Office Reimbursement, • Monthly Phone and Internet Reimbursement, • Tuition Reimbursement and access to LinkedIn Learning, • Equity, • Commuter Benefits (if local to an office) The US base salary range for this full-time position at the commencement of employment is listed below. Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location. The range displays our typical hiring range for new hire salaries in US locations only. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. New York City + California Salary Range$172,200—$215,200 USDSan Francisco Salary Range$182,900—$228,600 USDUS National Salary Range$160,600—$200,800 USD San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Why we care so much about Belonging. We're dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That's why Planet is guided by an ultimate north star of Belonging-dreaming big as we approach our ongoing work. If this job intrigues you, but you're thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don't just fill positions, we aspire to fulfill people's careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you're excited to come along for the ride. EEO statement: Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. ___ Accommodations: Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you. Privacy Policy: By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the ___, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. Privacy Policy (European Applicants): By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the ___, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. AI in Our Interviewing Process: Planet is committed to providing an exceptional interview experience for all candidates. We are currently exploring AI interviewing technologies to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a Planet AI Notetaker for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy. Candidate AI Policy: Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools-e.g. Large Language Models (LLMs), deep fake technology, etc.-is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions. If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application.

Welcome to Planet. We believe in using space to help life on Earth. Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one. Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world's toughest obstacles. As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains. We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world. Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands. About the Role: Planet is seeking an experienced and customer-obsessed Product Manager to lead the productization, launch, and growth of our new AI Geospatial Assistant. This initiative is a strategic bet to further Planet's leap from data provider to solutions provider for our customers. This role is for an AI-native leader embracing new product management paradigms and passionate about revolutionizing the remote sensing industry using AI. This is a full-time, hybrid role which will require you to work from our San Francisco office 3 days per week. Impact You'll Own: • Lead Product Strategy & Velocity: Take ownership of the high-velocity product development as it transitions from a research effort within our AI research team into a fast-paced product group., • Customer-Driven Development: Play the primary leadership role in the customer-driven phase of product development. You will work closely with designers and user researchers to nail the launch plan and initial target audience for Planet's latest AI-driven product., • Focus on Core Use Cases: Drive the product to solve real, critical customer problems where Planet has a durable competitive advantage, primarily focusing on forensics and large-scale daily change use cases., • Team Collaboration: Be a core member of the initial product team, collaborating with Executive Sponsors, Engineering Manager, Designer, and Tech Lead., • 10+ years of product management experience, ideally in Earth Observation or geospatial domain, with a passion for bringing cutting edge concepts to life., • "Zero-to-one" experience: excellent product management skills honed to bring strategic concepts to reality; build, test, launch and iterate with velocity., • Knowledgeable about the latest in AI innovation, embeddings and MCP especially at the intersection of these technologies and data challenges of remote sensing, • Obsession for understanding customer needs, what they value and the problems they are setting out to solve, • Expert at internal and external stakeholder management, • Excellent communication skills, with the ability to translate technical concepts into business value., • Superb analytical and problem-solving skills, with a data-informed decision-making approach., • Experience with AI-based products in geospatial and remote sensing applications, • Experience building and scaling strategic product initiatives that serve multiple market segments. May 23, 2026 at 11:59p PT Benefits While Working at Planet: These offerings are dependent on employment type and geographical location, based upon applicable law or company policy. • Comprehensive Medical, Dental, and Vision plans, • Health Savings Account (HSA) with a company contribution, • Generous Paid Time Off in addition to holidays and company-wide days off, • 16 Weeks of Paid Parental Leave, • Wellness Program and Employee Assistance Program (EAP), • Home Office Reimbursement, • Monthly Phone and Internet Reimbursement, • Tuition Reimbursement and access to LinkedIn Learning, • Equity, • Commuter Benefits (if local to an office) The US base salary range for this full-time position at the commencement of employment is listed below. Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location. The range displays our typical hiring range for new hire salaries in US locations only. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. San Francisco Salary Range$182,900—$228,600 USD San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Why we care so much about Belonging. We're dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That's why Planet is guided by an ultimate north star of Belonging-dreaming big as we approach our ongoing work. If this job intrigues you, but you're thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don't just fill positions, we aspire to fulfill people's careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you're excited to come along for the ride. EEO statement: Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. ___ Accommodations: Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you. Privacy Policy: By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the ___, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. Privacy Policy (European Applicants): By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the ___, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. AI in Our Interviewing Process: Planet is committed to providing an exceptional interview experience for all candidates. We are currently exploring AI interviewing technologies to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a Planet AI Notetaker for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy. Candidate AI Policy: Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools-e.g. Large Language Models (LLMs), deep fake technology, etc.-is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions. If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application.

Title: Clinical Data Manager II Location: South San Francisco, CA 94080 Duration: 12-Month Contract Hybrid 3 days onsite/ 2 days WFH The Opportunity We are seeking a Clinical Data Manager II to client USMA Data Management team. This role sits within a highly collaborative environment focused on end-to-end data lifecycle management, supporting exploratory research, clinical development, and evidence generation. You will act as a data quality leader, ensuring high-quality, compliant clinical data while driving innovative data solutions aligned with FAIR (Findable, Accessible, Interoperable, Reusable) principles. Key Responsibilities Data Management & Quality • Oversee collection, validation, and curation of clinical and real-world data, • Develop and manage clinical databases ensuring accuracy and integrity, • Perform high-level data reviews using visualization and statistical monitoring tools, • Manage timelines, risks, and deliverables across multiple studies, • Ensure successful execution of study scope of work (SOW), • Partner with FSPs, CROs, and external vendors to oversee deliverables, • Manage data transfer agreements and ensure adherence to standards, • Design and implement fit-for-purpose data solutions, • Support collection of diverse data types (e.g., biomarkers, EMR, sensor data), • Contribute to enterprise-wide initiatives and emerging technologies, • Provide guidance to data management teams and stakeholders, • Act as SME for data acquisition, standards, and best practices, • Represent Data Management in study team and data quality meetings Required Qualifications: • 5–10 years of Clinical Data Management experience, • Bachelor’s or Master’s degree in Life Sciences, Data Science, Bioinformatics, or related field, • Strong knowledge of ICH-GCP and regulatory requirements, • Experience with CDISC standards (SDTM preferred), • Proven project management and stakeholder management skills, • Strong analytical, problem-solving, and communication abilities Preferred Qualifications • Experience leading DM activities across multiple clinical studies, • Familiarity with EDC systems (e.g., Medidata Rave, Oracle Clinical), • Experience with Real World Data (RWD) and advanced data sources, • Proficiency in tools/languages such as SAS, R, Python, SQL, • Experience with data visualization tools (Tableau, Shiny), • Knowledge of MedDRA, WHODrug, and advanced analytics (AI/ML), • Exposure to big data tools (Hadoop, Spark)

Role Number: 200652238-3401 Summary The fingerprint you use to unlock your device, authorize a payment, or access your most private data-that's Touch ID. We're looking for an experienced electrical engineer to define and drive the next generation of Touch ID sensor designs, from early architecture through high-volume production. You'll make technical decisions that shape how millions of users experience security and responsiveness on Apple products. Description The Sensing Systems team develops MEMS, magnetic, and capacitive sensors that bring Apple products to life. Touch ID is central to how users trust and interact with their devices-and you'll own the electrical design decisions that make it possible. This role puts you at the center of sensor development. You'll define module architectures, drive circuit design tradeoffs, and solve integration challenges that don't have obvious answers. You'll influence silicon requirements, shape system-level decisions, and own technical strategy from concept through mass production. When something isn't working, you'll dig in to understand why-and propose solutions that balance performance, power, manufacturability, and schedule. We're looking for someone who combines deep analog expertise with the judgment to navigate ambiguity. You'll lead technical discussions with cross-functional partners, present recommendations to executives, and drive alignment when the path forward isn't clear. Your designs will ship in products used by millions. Minimum Qualifications * Strong analog circuit design fundamentals with experience owning designs through full product development cycles * Proficiency with circuit simulation (SPICE) and lab debug * Proficiency with MATLAB, Python, or similar for analysis and automation * BS and a minimum of 10 years relevant industry experience Preferred Qualifications * Track record of leading technical discussions and driving alignment across disciplines * Experience with capacitive or biometric sensing systems * Experience with flexible PCB design and signal/power integrity analysis * Proficiency with statistical analysis tools (JMP, Tableau) for data-driven design decisions * Familiarity with FEA/simulation tools (COMSOL, ANSYS, Maxwell) * Experience creating engineering specifications and translating system requirements into circuit implementations, making technical tradeoffs that balance competing constraints * Experience influencing silicon or ASIC requirements from a system perspective Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant () .

You'll shape sensor module architectures, make electrical design decisions, and see your work ship in Apple products. The Sensing Systems team integrates MEMS, magnetic, and capacitive sensors across Apple's product lines. Apple is an equal opportunity employer that is committed to inclusion and div

Machine Learning Engineer - Robot Perception. MS or PhD in machine learning, computer science, robotics, or a related field. Strong background in computer vision, deep learning, and sensor fusion.

Job DescriptionThe Role As a Vehicle Support Engineer, you’ll sit at the critical intersection of live fleet operations and engineering. When vehicles experience complex hardware or software issues, you are the escalation point—diagnosing problems in real time, restoring uptime fast, and driving long-term fixes through root-cause analysis. This is a Tier 2 escalation role for engineers who thrive in imperfect systems. Diagnostics are still maturing, so you’ll help shape how issues are identified, resolved, and prevented going forward. Your work directly impacts fleet reliability, mean time to repair (MTTR), and customer experience. The role requires flexibility to support live operations, including occasional nights or weekends with advance notice. What You’ll Do Real-Time Fleet Support & Escalation • Serve as the primary escalation point for technicians handling complex vehicle issues., • Quickly assess and resolve hardware and software faults to restore vehicle uptime., • Perform in-depth log analysis and historical fleet data reviews to identify root causes., • Parse and interpret vehicle logs and translate findings into physical system implications., • Develop, document, and continuously improve troubleshooting guides for field technicians., • Capture lessons learned from incidents to support faster recovery in the future., • Partner with design and development teams to improve diagnostics, tooling, and detection., • Support hardware bring-up and validation for new sensor components (LiDAR, radar, cameras)., • Act as a site owner for fleet issues escalated from technicians., • Occasionally travel within the U.S. to support operational locations. You’re comfortable: • Reading wiring diagrams and schematics, • Measuring voltage and resistance, • Troubleshooting Linux systems, • Working across chassis, sensors, hydraulics, and software interfaces, • Collaborating closely with technicians in the field Required Qualifications • Bachelor’s degree in Electrical Engineering, Computer Engineering, or related field, • 8+ years of relevant experience in transportation, aerospace, autonomous vehicles, or other complex systems, • Experience troubleshooting low- and high-voltage systems safely, • Knowledge of UDS diagnostics, vehicle systems architecture, and hardware/software interfaces, • Ability to read electrical diagrams, connector pinouts, and schematics, • Strong documentation skills and a methodical troubleshooting mindset, • Willingness to pass a background check, • Availability for occasional overtime with advance notice Preferred Qualifications • Experience with electric vehicle technology, • Remote vehicle troubleshooting in an operations-driven environment, • Linux-based systems and Python for fleet-level data analysis, • Software that interfaces directly with hardware, • Familiarity with networking concepts (TCP, sockets) Pay Rate = $98.25 per hour Assignment Length = Contract Work Schedule = Tuesday through Saturday, 8:00AM - 5:00PM PST: Standard business hours with need to flex nights/weekends as needed with advanced notice

Job Description We're ALTEN Technology USA, an engineering company helping clients bring groundbreaking ideas to life—from advancing space exploration and life-saving medical devices to building autonomous electric vehicles. With 3,000+ experts across North America, we partner with leading companies in aerospace, medical devices, robotics, automotive, commercial vehicles, EVs, rail, and more. As part of the global ALTEN Group—57,000+ engineers in 30 countries—we deliver across the entire product development cycle, from consulting to full project outsourcing. When you join ALTEN Technology USA, you'll collaborate on some of the world's toughest engineering challenges, supported by mentorship, career growth opportunities, and comprehensive benefits. We take pride in fostering a culture where employees feel valued, supported, and inspired to grow. The Fleet Support Engineer on the Vehicle Development team will be actively engaged in the operational uptime of our fleet. The ideal candidate will be a technical expert, adept at collaborating with cross-functional teams, meticulously documenting troubleshooting processes, and providing real-time support for daily operations. ONSITE in San Francisco, CA, Austin, TX, or Miami, FL Responsibilities: • Serve as the primary point of contact for real-time escalations for sensor-related fleet issues., • Conduct in-depth root cause analysis through comprehensive log review to identify and resolve fleet issues., • Develop, update, and maintain a comprehensive troubleshooting guide for technicians, incorporating newly diagnosed faults and their resolutions., • Perform hardware bring-up and validation procedures for new sensor components (LiDAR, radar, cameras, etc.)., • Design and implement diagnostic procedures to streamline future troubleshooting processes, with a focus on sensor calibration and data integrity., • Historical review of vehicle/fleet data, including sensor data, identifying trends and issues., • Collaborate with engineering design teams to enhance tooling and improve issue detection capabilities., • Develop and implement effective countermeasures across the fleet to prevent recurring issues., • Define and capture essential data points to validate issue resolution and measure the effectiveness of implemented solutions., • Engage in cross-functional collaboration to drive continuous improvement in vehicle performance and reliability., • Availability for overtime as needed, with advanced notice provided., • Willingness to travel occasionally within the U.S. to support various operational locations. Qualifications: • Minimum 8 years of relevant experience in transportation, aerospace, or autonomous vehicles, with a specific focus on perception systems and sensors., • Bachelor's degree in Electrical Engineering or Computer Engineering., • Experience with low/high voltage circuits, Unified Diagnostic Services (UDS), and how to safely troubleshoot., • Understanding of hardware and software systems architecture, communications to support in an operations setting., • Embraces a holistic problem-solving approach to identifying issues with high-level vehicle functions and drive specific resolution into single components., • Self-starter, ability to build relationships across the company., • Ability to comprehend schematics, electrical diagrams, connector end views/pinout., • Pass a background check. Preferred Qualifications: • Experience with electric vehicle technology., • Experience with remotely supporting vehicle troubleshooting., • Knowledge of vehicle systems and diagnostics tools., • Experience with Linux & Python-based programming systems for fleet-level data processing., • Experience with software that interfaces with hardware., • Familiarity with networking, TCP, and socket programming. Salary Range: $115,000-$140,000/K The actual salary offered is dependent on various factors including, but not limited to, location, the candidate's combination of job-related knowledge, qualifications, skills, education, training, and experience ALTEN Technology is an Equal Opportunity Employer. Our Policy is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Please beware of job seeker scams and see this important notice on our careers page for more information about our recruiting process. Compliance Notice: Alten USA is a federal contractor subject to the requirements of the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and Executive Order 11246. We are an Equal Opportunity Employer and consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Drug Screening Requirement: As a federal contractor, Alten USA maintains a drug-free workplace. All candidates selected for employment will be required to successfully complete a pre-employment drug screening as a condition of hire.

Sensing technology empowers Apple products with revolutionary features, including Touch ID, Face ID, and Camera Control Button. This candidate will have the opportunity to explore the most advanced sensing technology and deploy innovative test infrastructure for the mass production of the next Apple

A leading technology innovator in California is looking for an experienced electrical engineer to design and develop Touch ID sensors. You will be responsible for guiding the entire sensor development lifecycle, collaborating with multi-functional teams, and applying your expertise in both analog an

Job Description About Ouster At Ouster, we build sensors and tools for engineers, roboticists, and researchers, so they can make the world safer and more efficient. We've transformed LIDAR from an analog device with thousands of components to an elegant digital device powered by one chip-scale laser array and one CMOS sensor. The result is a full range of high-resolution LIDAR sensors that deliver superior imaging at a dramatically lower price. Our advanced sensor hardware and vision algorithms are used in autonomous cars, drones and many other applications. If you’re motivated by solving big problems, we’re hiring key roles across the company and need your help! About the role We are seeking an Internal audit manager to support the Company’s effort to maintain our SOX program as a new public company, as well as setting up an operational Internal audit program. Reporting to the Head of Internal Audit, you will have broad exposure to the operations of the Company and will interact with leaders across Finance, Legal, HR, Operations, Sales, Engineering and IT as well as our external auditors and advisors. This individual will assist with managing Ouster's in-house internal audit team (3 direct reports located in Thailand) as well as external service providers (number of consultants varies). You will take a lead role in planning, organizing, and executing the SOX testing program throughout the Company with guidance from the Head of Internal Audit. This role presents an excellent, long-term path for career development at Ouster, Ouster Internal Audit is committed to recruiting and developing great talent. This is a hybrid role requiring the manager to be on-site at our San Francisco office 2 to 3 days per week. We encourage candidates to live within a sustainable commuting distance of the San Francisco office to support the in-office requirement; relocation benefits are not available for this role. This person ideally possesses technology sector experience, with a focus on end-to-end SOX compliance. The candidate must have knowledge of process flow mapping, design and documentation of controls, controls testing, evaluation of control deficiencies and remediation plans. Additionally, the candidate must have the ability to effectively manage relationships with partners (external auditors, outsourcing partners, control owners), demonstrate proficient project management skills, superior communication (written and oral) and organizational skills. You will be joining a world-class finance team that tracks and seeks to understand the factors driving our growth and success. We help our entire organization achieve our operational and financial goals while embodying our company values. We ensure our objectives are feasible and work closely with all teams to ensure they have the resources they need to achieve our ambitious mission-enabling all teams to work together effortlessly. Key responsibilities: • Drive the annual enterprise risk assessment process, collaborating with senior leadership to inform and develop a dynamic, risk-based Internal Audit plan aligned with Ouster's strategic objectives., • Manage the end-to-end SOX testing program, ensuring compliance and the effective control environment required of a public company., • Provide strategic advisory support on the control implications of new accounting standards and new application implementations., • Oversee all phases of audit and SOX engagements, including planning, fieldwork, and reporting, ensuring adherence to IIA standards and timely completion., • Elevate control documentation by reviewing and updating process flowcharts, narratives, and Risk & Control Matrices, particularly as new systems or material processes are implemented., • Champion the use of data analytics and automation tools to enhance audit efficiency, expand audit coverage, and transition towards continuous risk monitoring., • Conduct thorough root cause analysis on control deficiencies, partnering with control owners to develop strategic, sustainable remediation plans, and rigorously validate their successful execution., • Lead, mentor, and coach the global Internal Audit team (3 direct reports in Thailand), fostering a culture of high performance, professional development, and collaborative excellence., • Cultivate and maintain strong working relationships with key stakeholders, including executive management, external auditors, and co-source providers, positioning Internal Audit as a trusted business partner., • Prepare and present reports on audit outcomes, risk trends, and remediation status directly to senior management, ensuring findings are concise and actionable., • Manage external service providers, ensuring the quality and efficiency of outsourced SOX procedures and leveraging their expertise effectively., • Bachelor's degree in Accounting or Finance; or Information systems, and a professional certification such as CPA, CIA, or CIA, • Demonstrated experience in maintaining a SOX testing program, and testing of business process and IT general controls, • Demonstrated experience, skills and knowledge with IIA Professional Practices and Standards, • Demonstrated experience of leading Internal audit projects focussed on operational, product and compliance risks, • A minimum 7+ years of experience in a senior internal audit role; experience with similar internal audit roles in large organizations or with Big 4 audit firms highly preferred, • Strong knowledge of US GAAP, COSO, PCAOB Auditing Standards, Sarbanes-Oxley, risk and controls standards and business process best practices, • Firm grasp of technical accounting and SOX methodologies (controls design, risk assessment, testing strategies, etc.), • Excellent communication, collaboration and presentation skills, • Knowledge and experience of using data analytics and automation tools is a plus, • A maintained knowledge base of audit industry practices and to ensure best practices are always consideredThe base pay will be dependent on your skills, work experience, location, and qualifications. This role may also be eligible for equity & benefits. ($150,000-$190,000) Ouster is an Equal Employment Opportunity employer that pursues and hires a diverse workforce. Ouster does not make employment decisions on the basis of race, color, religion, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military status, or any other basis protected by local, state, or federal laws. Ouster also strives for a healthy and safe workplace, and prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance, Ouster considers qualified applicants with arrest and conviction records for employment. If you have a disability or special need that requires accommodation, please let us know. Powered by JazzHR ZjCx8NOtDM

Job Description At Ouster, we build sensors and tools for engineers, roboticists, and researchers, so they can make the world safer and more efficient. We've transformed LIDAR from an analog device with thousands of components to an elegant digital device powered by one chip-scale laser array and one CMOS sensor. The result is a full range of high-resolution LIDAR sensors that deliver superior imaging at a dramatically lower price. Our advanced sensor hardware and vision algorithms are used in autonomous cars, robotics, industrial, and smart infrastructure applications (among many others). If you’re motivated by solving big problems, we’re hiring key roles across the company and need your help! Ouster, Inc. is seeking a Corporate Counsel, Corporate Governance and Securities, to join the Legal Department, reporting to the Deputy General Counsel. Responsibilities include the following: • Assist with Periodic SEC reporting;, • Assist with the Proxy Statement and matters relating to annual shareholder meeting;, • Advise on insider trading compliance, including Section 16 and 10b5-1 trading plans;, • Assist with preparing registration statements;, • Assist with Section 16 reporting requirements, including preparing and reviewing Forms 3 and 4, as well as other aspects of company stock administration, • Provide securities- and governance-related support for mergers and acquisitions, strategic investments and other corporate transactions;, • Provide Board of Directors support;, • Assist with drafting intercompany agreements and vendor contracts, • Assist with NASDAQ listing/governance requirements;, • Assist with domestic and international subsidiary governance and compliance matters;, • Advise on and implement corporate governance requirements and best practices;, • Assist with SOX and other compliance matters;, • At least 2-3 years of experience in corporate & securities matters, with at least 2 years in a major law firm;, • Juris Doctorate, admitted to practice law in California;, • Prior experience with public company disclosure requirements, including drafting and reviewing proxy statements, SEC filings, including Section 16 filings., • Outstanding drafting and communication skills, with an acute attention to detail;, • Team player with ability to collaborate cross-functionally;, • Ability to work independently in a fast-paced, rapid-growth environment;, • Excellent organizational and problem-solving skills;, • Flexibility to adjust priorities and manage time wisely;, • Intellectual curiosity and a willingness to take on new challenges in all areas of law;, • Positive attitude and a desire to be part of a strong, supportive team; and We acknowledge the confidence gap at Ouster. You do not need to meet all of these requirements to be the ideal candidate for this role. Ouster is an Equal Employment Opportunity employer that pursues and hires a diverse workforce. Ouster does not make employment decisions on the basis of race, color, religion, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military status, or any other basis protected by local, state, or federal laws. Ouster also strives for a healthy and safe workplace, and prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance, Ouster considers qualified applicants with arrest and conviction records for employment. If you have a disability or special need that requires accommodation, please let us know. Powered by JazzHR wyn9TmjzTj

Job DescriptionAbout Humble RoboticsWorking at Humble Robotics means taking on the biggest change in ground transportation in decades. We’re building an autonomous, zero-emissions hauler that dramatically lowers the cost of freight with groundbreaking vision-based AI, designed for today’s global logistics network. We’re a fast-moving, close-knit team of AV industry veterans and innovative thinkers. We don’t believe culture can be engineered – but when it falls into place, it’s a once-in-a-lifetime adventure. Progress has never felt so present. Position OverviewOwn electrical design of next gen. hardware modules - architecture, schematic + layout prototype bring-up, validation, and transition to robust hardware. Key Responsibilities • Schematic capture and layout - power tree, high-speed interfaces, protection, grounding strategy, tolerances, derating. Produce release-quality design packages., • Prototype bring-up and debug: First power-on through stable system operation; instrument, isolate, and resolve issues across power integrity, signal integrity and EMI coupling., • Design for automotive robustness - transients/ESD, brownout behavior, fault containment, harness realities, and vehicle power conditions; incorporate EMC and functional safety considerations appropriate to the platform., • Design Validation: Define bench + vehicle validation plans (stress, thermal, vibration-informed checks, fault injection where relevant)., • Own PCB fab/assembly engagement, component selection strategy, alternates, DFM/DFT reviews, and build/test documentation; drive issues to closure through builds., • Unblock integration across teams, and drive design reviews and root-cause for complex failures., • Partner with firmware, autonomy, and systems to debug end-to-end issues; set best practices for bring-up, lab workflows, and design reviewsMinimum Qualifications, • BS/MS in Electrical, Computer or Mechatronics Engineering, • 8+ years relevant hardware engineering experience (or equivalent scope/impact), • Proven ownership of multiple PCB designs shipped into real systems, • Strong power design fundamentals (switching regulators, sequencing, protection, thermal/derating), • Comfort with mixed-signal + digital design tradeoffs; strong debug skills, • Expert in Altium Designer (schematic + constraints + outputs; ability to guide and perform layout review), • Eligible to work in the United StatesPreferred Qualifications, • Experience in Automotive/ Robotics/ Industrial/ Aerospace strongly preferred., • High-speed design and RF experience, • Sensor platform integration experience (Camera, Radar, Lidar, IMU, GNSS), and timesync, • Familiarity with DFM/DFT and production test strategy

Job Description At Ouster, we build sensors and tools for engineers, roboticists, and researchers, so they can make the world safer and more efficient. We've transformed LIDAR from an analog device with thousands of components to an elegant digital device powered by one chip-scale laser array and one CMOS sensor. The result is a full range of high-resolution LIDAR sensors that deliver superior imaging at a dramatically lower price. Our advanced sensor hardware and vision algorithms are used in autonomous cars, robotics, industrial, and smart infrastructure applications (among many others). If you’re motivated by solving big problems, we’re hiring key roles across the company and need your help! As a NA Logistics & Fulfillment Manager, you will be responsible for high level strategic fulfillment planning, maintaining and updating processes and performing physical activities including, unloading deliveries, processing returns, locating merchandise, and packaging orders for shipment. You will also be required to interact with external carriers and internal cross-functional teams to resolve order-related issues. To ensure success as a NA Logistics & Fulfillment Manager, you should have a good understanding of warehousing procedures, detail oriented, the ability to lift heavy objects, and to work in a fast-paced environment. Ultimately, process orders quickly and efficiently while adhering to safety and quality standards. Responsibilities: • Order Fulfillment: Own the end-to-end process from receipt to shipment, ensuring accurate configuration (FG), picking, packing, and dispatching., • Logistics & 3PL Management: Coordinate outbound logistics, manage 3PL relationships, and resolve shipment issues/claims., • Inventory & Data Accuracy: Maintain high inventory integrity through cycle counting and reconciliation, ensuring systems reflect physical stock., • Planning & Analytics: Generate weekly reports, provide order forecasts/schedules, and maintain high On-Time Delivery (OTD) metrics with root cause analysis., • Compliance & Process Improvement: Ensure adherence to international/domestic shipping regulations, support item classifications for HS and ECCN while proactively identifying and implementing process improvements., • Project Leadership: Lead projects and support operational logistics receiving/shipping) as needed., • Cost: Perform invoice validation and freight accruals., • Process: Draft, Maintain and update process documents as needed., • Management: Lead, manage and elevate team performance., • Bachelor’s degree or minimum 5+ Years of similar industry experience, with 3 years as a people manager., • Advanced Computer Literacy/Proficient with MS Office /G-Suite Knowledge required, • Experience with Netsuite or similar ERP systems, • International Shipping & Trade Compliance knowledge., • Customs broker’s license preferred or similar experience on import and export. In-depth knowledge of ECCN knowledge, HTS classification, duty drawback and other programs hands on experience required., • Detail oriented and highly organized., • Ability to lift heavy objects up to 50lbs, • Self-Starter with the Ability to work in a fast paced/dynamic environment., • Ability to stand or walk for up to eight hours a day., • Experience working and managing 3PL, Parcel, LTL and freight forwarders domestic and internationally., • Ability to solve problems and communicate effectively with others, • Ability to prioritize and complete tasks as assigned, with minimum supervision, • Fully onsite position. The base pay will be dependent on your skills, work experience, location, and qualifications. This role may also be eligible for equity & benefits. ($120,000 - $150,000) We acknowledge the confidence gap at Ouster. You do not need to meet all of these requirements to be the ideal candidate for this role. Ouster is an Equal Employment Opportunity employer that pursues and hires a diverse workforce. Ouster does not make employment decisions on the basis of race, color, religion, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military status, or any other basis protected by local, state, or federal laws. Ouster also strives for a healthy and safe workplace, and prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance, Ouster considers qualified applicants with arrest and conviction records for employment. If you have a disability or special need that requires accommodation, please let us know. Powered by JazzHR udPAlTom2q

Job DescriptionWhy Flux Flux is taking the hard out of hardware, by developing the first AI Hardware Engineer. Our goal is to democratize the ability to create bleeding edge hardware, and revolutionize how electronics are designed and built around the world. The Role We’re looking for an experienced electrical engineering leader who will own the hardware design practices and guiding principles of our platform. You’ll steer the evolution of our ECAD tool's core capabilities as well as the correctness of our AI Hardware Engineer's system knowledge and design approach. You'll actively partner with product leadership to shape and prioritize AI capability development, evaluation frameworks, and in developing scaled approaches to guide our community to successful PCB projects. In this role, you'll grow our existing Hardware Design function and team. This is a high‑impact, multidisciplinary role for someone who has experience building complex electronics that shipped at scale (e.g., smartphones, wearables, high‑performance compute, networking, robotics) and loves translating real‑world engineering constraints into powerful tools and AI behaviors. What you’ll do * Drive ECAD feature design & specs – Craft product requirements for core ECAD behaviors across placement/routing, constraints management, stackup, impedance control, DRC/DFM, manufacturing outputs, and prototyping workflows. Co-author specs, validate by running dogfooding initiatives, beta programs, and scaled user feedback. * Be the design partner to AI/ML – Teach the world’s first AI hardware engineer how to design successful products. Define best practices, guardrails, and evaluation harnesses; curate datasets; review AI‑generated designs; create the AI expertise that will help more people build successful hardware on their first production run, without releasing the magic smoke. * Build out the Hardware Design function – Start as a hands‑on manager with two existing reports. Over time, refine the team's core responsibilities, and build a larger team that produces reference designs, demos, product specs, training, and field feedback loops. * Develop real hardware – Lead quick‑turn-around prototypes (from schematic to bring‑up) that exercise product/AI capabilities. Instrument designs for SI/PI and power/thermal validation; close the loop with data. * Amplify user insight – Adopt ownership and improve upon current user experience signals, feedback loops, and channeling user input into our iterative product design. Strategically invest in deeper customer relationships. Champion the user’s voice in cross‑functional forums. Partner closely with our software engineering department in ensuring AI evaluations are reflective of real-world user requirements. * Product – Be the "voice of the customer" within the organization, addressing vision, strategy, research & discovery, prioritization and cross-functional leadership. What you’ll bring * Deep EE breadth + depth with real products in the field. Comfortable spanning: * RF & wireless: from sub‑GHz to mmWave; matching, filtering, antenna/feed layout. * EMI/EMC & ESD: design‑for‑compliance, grounding/return paths, shielding, filtering. * Power electronics: DC‑DC (buck/boost), PMICs, PoE, motor/actuator control, power sequencing, efficiency/thermal trade‑offs. * Analog & mixed‑signal: sensor interfaces, data converters, low‑noise design. * High‑speed digital: DDRx, PCIe/SerDes, USB‑C/USB4, MIPI, Ethernet (1G–25G+); timing, skew, and equalization considerations. * SI/PI: signal/power integrity analysis, decoupling strategies, return‑path control. * PCB/stackup expertise: material selection and stackup definition, controlled impedance, differential pair tuning & length‑matching, via strategies (blind/buried, microvia, backdrill), HDI (high‑density interconnect), panelization, and build rules with fabs/EMS. * DFM/DFT & manufacturing: hands‑on bring‑up and debug, test coverage, fixture definition; tight collaboration with CMs/ODMs. * Tooling fluency: meaningful time in multiple ECADs (e.g., Altium, Cadence Allegro/OrCAD, Mentor Xpedition, KiCad, Zuken) and experience with simulation tools (SPICE, SI/PI such as ADS/HyperLynx/SIwave; 3D EM such as HFSS), plus lab instrumentation (oscilloscope, VNA, logic analyzer, power analyzer). * Product sense & communication: ability to turn messy user needs into simple workflows; excellent written specs, diagrams, and presentations; confident with senior leadership and deep‑dive technical reviews. * Leadership at multiple altitudes: thrive as both a hands‑on engineer and a manager; co-develop core ECAD product strategy. Hire, mentor, and scale processes while staying close to the work. Preferred qualifications * Experience in a larger technical org (e.g., hardware product management or lead EE for critical subsystems at a world‑class company) with a track record of shipping at scale. * On the ground factory and test, mass production, and quality/yield optimization experience. Actively participating in builds and carrying key responsibilities to realize designs at scale. * Prior design‑partner or customer‑facing role (product management, applications, FAEs, field engineering, or cross‑functional liaison) that turned feedback into product wins. * Hands‑on across ECAD platforms; passion for great engineering tools and workflows. * Practical exposure to AI/ML (prompting/evaluation, data curation/labeling, or integrating ML‑assisted design tools). Benefits & package Competitive salary and meaningful equity, plus comprehensive benefits. Title/level will match experience and impact. How to apply Send a your resume, a quick cover letter, and any links to public designs or talks. Email: Subject: Head of Hardware Design – Your Name

Job Description Who we are: Formic is on a mission to reshape American manufacturing by making automation accessible to every factory. As labor constraints rise, costs increase, and global competition intensifies, automation is no longer optional for manufacturers that want to stay competitive. We deliver automation through a Robotics-as-a-Service model that combines industrial robotics, proprietary software, and full-service support into a single, integrated solution. By removing the traditional barriers of cost, complexity, and risk, we enable manufacturers to deploy automation quickly and realize measurable gains in throughput, safety, and operational efficiency without large upfront capital investment. Backed by leading investors including Lux Capital, Initialized Capital, Blackhorn Ventures, and Mitsubishi HC Capital North America, Formic is scaling rapidly and building the foundation for a new era of high-performance, Made in America production. About the team: The Software Engineering Team builds and operates the systems that power Formic's Robotics-as-a-Service platform. Engineering focuses on ensuring deployed systems are observable, resilient, and remotely diagnosable at scale. The team builds production-grade edge and cloud systems that support reliable data collection, remote troubleshooting, live video streaming, and continuous system improvement. This work directly impacts fleet uptime, service efficiency, and customer outcomes by ensuring Formic's monitoring and control infrastructure remains scalable, reliable, and continuously evolving. About this role: As a Robotics Computer Vision Engineer, you will: • Design and implement perception systems for advanced robotic platforms, • Develop 3D perception pipelines using RGB-D, stereo, and multi-camera systems, • Build object detection, segmentation, and pose estimation systems, • Design camera calibration and sensor synchronization pipelines, • Optimize real-time GPU-based vision systems, • Integrate perception with manipulation and control systems, • Improve robustness under industrial lighting and cluttered environments, • 5+ years experience in computer vision for robotics or autonomous systems, • Strong background in 3D geometry and multi-view perception, • Experience deploying CV systems on real robotic platforms, • Proficiency in Python and C++, • Experience with PyTorch or similar frameworks, • Experience with ROS and real-time robotic systems, • Experience supporting production-grade systems beyond research prototypes, • Equity in Formic: Participate in our stock option program and share in the success of a fast-growing start-up backed by leading global investors, • Competitive & Uncapped Commission Structure: Designed to reward performance and impact in commission-eligible roles, • Comprehensive Healthcare Coverage: Medical, dental, and vision insurance through Blue Cross Blue Shield and Unum, with 99% of employee premiums covered and 75% coverage for dependents, with optional buy-up plans available, • Additional Insurance Benefits: FSA and DCFSA, life insurance, short-term disability, and long-term disability through Unum, all 100% employer-paid, • Employee Assistance Program (EAP): Fully funded by Formic, offering support when you need it most, • Paid Parental Leave Program: Up to 12 weeks of paid parental leave, • Company-sponsored 401(k): Invest in your future with our company-facilitated retirement savings plan, • Home Office Stipend: A one-time allowance for fully remote and hybrid employees to support an at-home or on-the-road work setup, • Monthly Cell Phone Reimbursement: Monthly stipend toward personal phone and internet expenses Final offers are customized based on experience, geographic location, market considerations, and a candidate's preferred balance of cash and equity. Our goal is to attract and reward top talent who will have significant impact, and we are open to thoughtful discussions to align on the right structure. Compensation Range:$145,000—$200,000 USD What we look for: We're building this company from the ground up, and every person we hire has an outsized impact on our culture, performance, and trajectory. While each team member brings unique strengths and perspectives, we look for people who align with our Operating Principles and embody them in action. If this sounds like you, Formic may be the right place for you! • Fearless Optimism: You make bold bets and default optimistic. You believe in the mission, aren't paralyzed by risk, and fear inaction more than failure. You see ambiguity as opportunity and bring energy to building what doesn't yet exist., • Create the Magic: You absorb complexity so customers don't have to. Whether your customer is external or internal, you focus on delivering experiences that are clear, fast, value-added, and outcome-driven. You don't say "not my job." You make things work., • Today, Not Tomorrow: You have a bias to action. You close the loop. You take extreme ownership. You understand that speed compounds, and you don't confuse activity with results., • Seek Truth: You think from first principles. You value data over ego and strong opinions loosely held. You're willing to challenge assumptions, including your own, in pursuit of the best answer., • Made of Rubber: You are resolute and adaptable. When things break or priorities shift, you rebound stronger. You treat setbacks as learning moments and move forward with grit. Formic is an equal opportunity employer. We do not discriminate on the basis of race, color, religion or religious creed, sexual orientation, gender, gender identity, marital status, family or parental status, disability, military or veteran status, or any other basis protected by law. All employment decisions are based on a person's merit, business needs, and role requirements. If you require further accommodations or have questions regarding accessibility of our roles, please reach out to . AI Use: At Formic, fairness and transparency are at the heart of our hiring process. We use AI-powered tools in some interviews to help our teams evaluate candidate responses, but all final hiring decisions are made by humans. You can learn more about how AI is used in our recruitment process by reviewing our AI Hiring Disclosure linked here.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: You will…- Collaborating with research scientists during algorithm design to ensure code is efficiently designed from inception- Identify and communicate best practices for model development- Reformulate performance bottlenecks- Develop a framework suitable for mixed precision training of multi-task, multi-modality models in a heterogeneous distributed training environment- Research, implement, and test alternative formulations for fundamental DNN operations and AV centric representations- Enable safe and efficient deployment of PnP models Qualifications:- PyTorch API and implementation- CUDA system design- Asynchronous programming model- Heterogeneous compute- C++ / libtorch Bonus:- Machine learning model architecture design- TensorRT- CUDA kernel implementation- Experience with autonomous vehicle multi-sensor model architectures The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. 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.

Job DescriptionAbout GridwareGridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware’s advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit . Team Overview The Hardware Engineering team is responsible for designing and testing all of our devices, from mechanicals and electronics to the firmware and protocols they run. Our devices save lives, but doing this means supporting a diverse set of continuously-sampling sensors, and we need tens of thousands of units to run super-reliably for 10 years in extremely challenging environments, ranging from snowy mountaintops to forests and deserts. Role Description The Senior Firmware QA Engineer will, as a starting point, be responsible for the following: • Develop and maintain automated test scripts and frameworks for firmware testing, covering static analysis, unit, integration, system, and regression testing. Measure and increase test coverage over time, making sure to emulate edge cases and failure scenarios., • With assistance from other teams, design and maintain automated hardware-in-the-loop test hardware to support regression testing. This will include everything from verifying wireless network functionality to testing sensor behavior., • Identify, document, and track firmware bugs, collaborating with the firmware engineering team to troubleshoot and resolve issues., • Monitor and analyze test results, creating detailed test reports and quality metrics to ensure continuous improvement in firmware quality. Required Skills, • 3+ years of experience in firmware quality assurance or embedded systems testing., • Experience working with embedded systems, including hands-on experience with firmware development environments, tools, and debugging, focused on small microcontrollers running RTOS or bare metal, • Proficiency in Python and C for test automation, debugging, and firmware validation., • Some ability to read schematics and work with electronic test equipment such as oscilloscopes, logic analyzers and voltmeters, • Proficiency in Linux-based environments, including command-line tools and scripting for test automation and debugging., • Demonstrated experience with testing frameworks and tools., • Strong understanding of QA methodologies and best practices, with the ability to tailor testing processes for high-quality firmware release., • Experience working in a collaborative environment with agile development processes., • Excellent communication skills, with the ability to document and convey complex technical concepts clearly and concisely., • Excellent analytical skills with the ability to troubleshoot and isolate complex issues across firmware, Linux environments, and hardware. Bonus Skills, • Experience with CI/CD tools., • Knowledge of industry standards and regulatory requirements for embedded systems in critical infrastructure.

Job DescriptionJoin the Sleep Fitness Movement At Eight Sleep, we’re on a mission to fuel human potential through optimal sleep. As the world’s first sleep fitness company, we’re redefining what it means to be well-rested and building the most advanced hardware, software, and AI technology to make it possible. Our products power peak mental, physical, and emotional performance by transforming every night of sleep into a personalized, data-driven recovery experience. We are trusted by high performers, professional athletes, and health-conscious consumers in over 30 countries worldwide. Recognized as one of Fast Company's Most Innovative Companies in 2019, 2022, and 2023, and twice named to TIME's “Best Inventions of the Year.” We operate like a high-performance team: fast, focused, and motivated by impact. We don’t just ship; we iterate, refine, and obsess over the details that help our members sleep better and wake up stronger. Every role at Eight Sleep is a chance to create cutting-edge technology, collaborate with world-class talent, and help shape a future where sleep isn’t passive - it’s a powerful tool for living better. If you’re tired of the ordinary and driven to build at the edge of what’s possible, this is your moment. Join us and lead the movement that’s transforming how the world sleeps and what we’re all capable of when we wake up. High Standards. No Apologies. We operate with intensity because our mission demands it. At Eight Sleep, we bring the same mindset as the world’s top performers: focused, relentless, and always pushing to be in the top 1% of our craft. Think Kobe Bryant’s mamba mentality, applied to bold ideas, next-gen tech, and flawless execution. This isn’t a 9-to-5. Our team is deeply committed, often putting in 60+ hours a week –not because we’re told to, but because we’re invested. We’re here to build fast, push limits, and deliver without compromise. If you thrive under pressure and want to do the most meaningful work of your career, you’ll feel right at home. If you’re looking for something easier –this isn’t it. The Role We’re looking for an experienced Senior Mechanical Engineer to develop products from concept through to production. You’ll be part of a small, mission-driven team and have significant ownership over decisions. We’re growing quickly so there are ample opportunities for career growth. This role is based out of our San Francisco Office 5 days/week What You'll Help Build * Architect and design complex electromechanical systems, including plastic, metal, and soft goods components integrated with novel sensors and actuators. * Drive designs across the entire development lifecycle, including brainstorming, CAD, prototyping, testing, and ramp into production in Asia. * Solve highly cross-functional problems by working with electrical, software, reliability, and manufacturing engineering teams. * Perform analysis and testing to ensure designs meet product goals, including thermal, fluid, and structural analyses. * Help shape the direction of our products and features by collaborating with industrial design, marketing, and product teams as well as company leadership. What You'll Need to Succeed * 3+ years of consumer product design experience with knowledge of injection molding, sheet metal forming, and sensor/electronics integration. * Experience shipping high-volume consumer products, including manufacturing support in Asia. * Highly proficient with 3D modeling (e.g. Solidworks, NX, Creo). * Experience with high-volume manufacturing processes, design for manufacturability and assembly (DFM/DFA), tolerance analysis, functional dimensioning and geometric tolerancing (GD&T). * Solid understanding of root cause analysis, DOEs, and other quality measuring techniques. * BSME or equivalent. * Willingness and ability to travel to China as needed. Why join Eight Sleep? Innovation in a culture of excellence Join us in a workplace where innovation isn’t just encouraged - it’s a standard. Our flagship product, the Pod, is a testament to our culture of excellence, beloved by hundreds of thousands of customers worldwide. At Eight Sleep, you will be part of a team that continuously pushes the boundaries of technology in sleep fitness. Immediate responsibility and accelerated career growth From your first day, you’ll take on substantial responsibilities that have a direct impact on our core business and product success. We are a small team that empowers you to own your projects and see the tangible effects of your efforts, enhancing both your professional growth and our company’s trajectory. Your path will be challenging but rewarding, perfect for those who thrive in fast-paced environments aiming for high standards. Collaboration with exceptional talent Work alongside other bright minds like you: at Eight Sleep exceptional intelligence and a passion for breakthroughs are the norms. Our team members are not only experts in their fields but also avid innovators who thrive in our dynamic, fast-paced environment. Equitable compensation and continuous equity investment We extend equity participation to every full-time team member, recognizing and rewarding your direct contributions to our success. This includes periodic equity refreshments based on performance, ensuring that as Eight Sleep grows and succeeds, so do you – perfectly aligning your achievements with the broader triumphs of the company. Your own Pod - and other great benefits Every Eight Sleep employee receives the very product that defines our mission: a Pod of their own. If you join us you’ll get your own Pod, along with*: * Lunch in the SF office 5 days a week * Full access to health, vision, and dental insurance for you and your dependents * Supplemental life insurance * Flexible PTO * Commuter benefits to ease your daily commute * Paid parental leave At Eight Sleep we continually celebrate the diverse community different individuals cultivate. As an equal opportunity employer, we stay true to our values by ensuring everyone feels they can flourish and grow. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Compensation Range: $180K - $200K

Job DescriptionAbout Us At Agtonomy, we’re not just building tech—we’re transforming how vital industries get work done. Our Physical AI and fleet services turn heavy machinery into intelligent, autonomous systems that tackle the toughest challenges in agriculture, turf, and beyond. Partnering with industry-leading equipment manufacturers, we’re creating a future where labor shortages, environmental strain, and inefficiencies are relics of the past. Our team is a tight-knit group of bold thinkers—engineers, innovators, and industry experts—who thrive on turning audacious ideas into reality. If you want to shape the future of industries that matter, this is your shot. About the Role We’re looking for a skilled software engineer to build and refine perception algorithms that give our autonomous tractors human-like awareness in rugged environments. You’ll develop computer vision and machine learning systems to process noisy data from cameras, LiDAR, and radar, enabling tractors to navigate through any type of dirty mess it may find itself in. This role is hands-on: you’ll write production-grade software, optimize models for embedded hardware, and test your work on real tractors at operating farms all over the world. Working closely with team members across the autonomy stack, you’ll own critical pieces of our perception stack, driving innovations that make our systems generalized, safe and reliable.What you'll do • Develop computer vision and machine learning models for real-time perception systems, enabling tractors to identify crops, obstacles, and terrain in varying unpredictable conditions., • Build sensor fusion algorithms to combine camera, LiDAR, and radar data, creating robust 3D scene understanding that handles challenges like crop occlusions or GNSS drift., • Optimize models for low-latency inference on resource-constrained hardware, balancing accuracy and performance., • Design and test data pipelines to curate and label large sensor datasets, ensuring high-quality inputs for training and validation, with tools to visualize and debug failures., • Analyze performance metrics and iterate on algorithms to improve accuracy and efficiency of various perception subsystems.What you’ll bring, • A MS, or PhD in Computer Science, AI, or a related field, or 5+ years of industry experience building vision-based perception systems., • Deep expertise in developing and deploying machine learning models, particularly for perception tasks such as object detection, segmentation, mono/stereo depth estimation, sensor fusion, and scene understanding., • Strong understanding of integrating data from multiple sensors like cameras, LiDAR, and radar., • Experience handling large datasets efficiently and organizing them for labeling, training and evaluation., • Fluency in Python and experience with ML/CV frameworks like TensorFlow, PyTorch, or OpenCV, with the ability to write efficient, production-ready code for real-time applications., • Proven ability to design experiments, analyze performance metrics (e.g., mAP, IoU, latency), and optimize algorithms to meet stringent performance requirements in dynamic settings., • An eagerness to get your hands dirty and agility in a fast-moving, collaborative, small team environment with lots of ownership.What makes you a strong fit, • Experience architecting multi-sensor ML systems from scratch., • Experience with Foundational models for robotics or Vision-Language-Action (VLA) models, • Experience with compute-constrained pipelines including optimizing models to balance the accuracy vs. performance tradeoff, leveraging TensorRT, model quantization, etc., • Experience implementing custom operations in CUDA., • Publications at top-tier perception/robotics conferences (e.g. CVPR, ICRA, etc.).

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: Join us to build the next frontier of applying generative AI in the physical world! As a research scientist, you will invent new AI technologies that enable our launch of fully driverless autonomous trucks. You will contribute towards Waabi's vision of a single AI system that learns end-to-end and in a provably safe manner as well as our revolutionary high-fidelity, closed-loop simulator, Waabi World. Both senior and junior scientists are welcome to apply. You will...- Lead and contribute to AI research projects, pushing the frontiers of the field by developing new algorithms for our autonomy system and state-of-the-art simulator. - Work on a diverse set of problems related to self-driving, such as perception, motion forecasting, controls, sensor simulation, scenario generation, behavior modeling, mapping, localization, intelligent data mining & analysis, and safe deployment. - Develop innovative solutions to problems by leveraging the latest advances in AI, including transformers, foundational models, LLMs/VLMs, generative modeling, imitation/reinforcement learning, inverse rendering, etc. - Support deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into production systems. - Stay up-to-date and advance beyond the state-of-the-art in artificial intelligence, machine learning, computer vision, and self-driving technologies.- Champion engineering excellence, ensuring high-quality, well structured and tested code.- Submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.) and post to our company blog. Qualifications:- Masters/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor’s students will also be considered.- Demonstrated research experience through previous internships, work experience, research projects, and papers at top conferences.- Strong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.- Proficient in reading and coding in Python.- Open-minded and collaborative team player with willingness to help others.- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. Bonus Points:- Previous experience in self-driving technology. - Experience in shipping machine learning features/models into production.- Proven track record of mentoring junior researchers or engineers.- Proficiency in Pytorch, Rust, C++ and/or CUDA.The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. 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.

Job DescriptionAbout GridwareGridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware’s advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit . Role Description:We are seeking a Senior ML Scientist/Engineer to design models that operate on multimodal time-series sensor data in highly resource-constrained environments. You will develop algorithms that balance accuracy with strict power and memory limits, helping advance the next generation of Gridware’s edge intelligence. This role blends applied research, model optimization, and low-level implementation in collaboration with hardware and firmware teams. Responsibilities • Execute end-to-end ML workflows, including exploratory data analysis, feature engineering, model training, evaluation, and optimization., • Design and evaluate machine learning and DSP algorithms that meet strict power, memory, and latency constraints on embedded hardware., • Conduct research and literature reviews on edge ML, resource-constrained inference, and efficient training techniques., • Partner closely with hardware, firmware, and product teams to ensure seamless integration of models into the full system. Required Skills, • MS or PhD in Computer Science, Electrical Engineering, or a related technical field., • 3+ years of experience developing and deploying production ML models, on-device., • 3+ years of applied research experience in ML or algorithm development., • Hands-on experience working with physical sensors and modeling time-series data., • Strong foundation in ML architectures and on-device algorithm design for real-world systems.Bonus Skills, • Familiar with DSP algorithms and C/C++ for resource-constrained embedded systems., • Experience porting ML models from Python frameworks to firmware-level implementations.

Job DescriptionAbout GridwareGridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware’s advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit . Team Overview Gridware’s Real-Time Operations team is the first line of defense in monitoring the power grid for critical events. The team operates 24/7 to ensure the reliability of our expanding fleet of monitoring devices, rapidly detecting and classifying anomalies, and reporting critical events to customers. By leveraging analytics we continuously refine workflows, optimize decision-making, and enhance operational efficiency to scale effectively. The team plays a vital role in Gridware’s mission to create a safer, more resilient power grid. Responsibilities • Monitor real-time data streams from the fleet, investigate potential grid events, and report critical incidents to customersin a timely manner., • Train in real-time operations procedures and participate in the on-call rotation, • Develop and maintain standard operating procedures (SOPs) to ensure consistent and accurate classification of grid events., • Coordinate with Remote Operators to develop training documentation and help train incoming Analysts Analytics & Process Improvement, • Develop statistical analysis techniques and automated tooling to improve incident detection, classification, and response efficiency., • Define and track KPIs to measure team performance, operational efficiency, and event resolution accuracy., • Identify operational bottlenecks and work with Product and Engineering teams to develop scalable, automated solutions. Required Skills, • 2+ years of experience in data analysis (academic research, internships, or professional work), • 1+ years of using Python or R for data analysis, • Proficiency in SQL for querying and analyzing large datasets, • Degree in Engineering, Physics, Mathematics, Data Science, or related analytical field Bonus Skills, • Experience working in a fast-paced, real-time decision making environment, • Experience in grid management,energy systems, clean tech, or climate technology., • Experience in applying time-series analysis techniques to sensor data., • Familiarity with real-time monitoring tools such as Grafana, Splunk, or similar., • Experience developing dashboards using Tableau, Looker, Power BI, or similar.

Job DescriptionWaabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to “drive” safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: You will...- Support productizing and deploying perception algorithms to our self-driving vehicles, collaborating closely with platform teams to ensure seamless integration of research findings into our self-driving system.- Champion engineering excellence, ensuring high-quality, well structured and tested code.- Collaborate in a multidisciplinary team solving problems related to perception, motion forecasting, planning, traffic modeling and sensor simulation, integrating research findings into our self-driving system and contributing to the development of a unified self-driving platform.- Solve challenging integration issues across a number of sensor modalities (LIDAR, RADAR, cameras...) and deep learning models (perception, prediction, implicit representations).- Develop new features by finding innovative ways to use generally trained perception models.- Develop onboard code to bring new interpretable and robust perception features to the road. Qualifications:- MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study.- Experience in shipping machine learning features/models into production. - Expert level C\C++ or Rust (we use Rust) in resource constrained environments.- Previous experience in multimodal sensor fusion. - Previous experience in self-driving technology or related fields.- Solid understanding of computing fundamentals, including code efficiency. Bonus/nice to have:- Strong grasp of machine learning and computer vision literature, including current trends and state-of-the-art techniques.- Experience driving projects on 3D detection, tracking of traffic agents and/or semantic understanding of various traffic scenes.- Experience in working with platform teams and collaborating with research teams to implement and validate deep learning models. The US yearly salary range for this role is: $155,000 - $213,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. 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.

Job Description Join the Sleep Fitness Movement At Eight Sleep, we’re on a mission to fuel human potential through optimal sleep. As the world’s first sleep fitness company, we’re redefining what it means to be well-rested and building the most advanced hardware, software, and AI technology to make it possible. Our products power peak mental, physical, and emotional performance by transforming every night of sleep into a personalized, data-driven recovery experience. We are trusted by high performers, professional athletes, and health-conscious consumers in over 30 countries worldwide. Recognized as one of Fast Company's Most Innovative Companies in 2019, 2022, and 2023, and twice named to TIME's “Best Inventions of the Year.” We operate like a high-performance team: fast, focused, and motivated by impact. We don’t just ship; we iterate, refine, and obsess over the details that help our members sleep better and wake up stronger. Every role at Eight Sleep is a chance to create cutting-edge technology, collaborate with world-class talent, and help shape a future where sleep isn’t passive - it’s a powerful tool for living better. If you’re tired of the ordinary and driven to build at the edge of what’s possible, this is your moment. Join us and lead the movement that’s transforming how the world sleeps and what we’re all capable of when we wake up. High Standards. No Apologies We operate with intensity because our mission demands it. At Eight Sleep, we bring the same mindset as the world’s top performers: focused, relentless, and always pushing to be in the top 1% of our craft. Think Kobe Bryant’s mamba mentality, applied to bold ideas, next-gen tech, and flawless execution. This isn’t a 9-to-5. We’re a team that puts in the extra effort, not because it’s required, but because we care about the impact of our work. We’re here to build fast, push limits, and deliver without compromise. If you thrive under pressure and want to do the most meaningful work of your career, you’ll feel right at home. If you’re looking for something easier – this isn’t it. The role We are looking for a Senior Sensor Engineer (Biometric & Physiological Sensing) to help design our future generation products. This role will be instrumental in building the next generation of high performance bio-sensing and environmental sensing systems for the Eight Sleep product ecosystem. This role will interact closely with R&D and Hardware engineers, and will see their work productized to directly impact our members and our business. This role is based out of our San Francisco office and will require in-office work due to the nature of hardware prototyping. How you’ll contribute * Lead the development of next generation biometric sensor systems * Rapidly develop functional prototypes, including sensor, electrical, mechanical, and firmware components * Perform data analysis and preliminary algorithm development to assess feasibility and implement solutions * Create and execute sensor development plans from concept to production readiness for systems that must operate nightly, autonomously, and reliably across 200k+ users * Coordinate with product development and software/firmware teams to incorporate designs into production What you need to succeed * 4+ years of industry experience developing sensing systems, demonstrating a track record of innovation * System level mindset, proficiency in EE and ME prototyping (e.g. PCBA, 3D rapid prototyping) * Experience with software development for signal processing and prototyping embedded systems * Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Biomedical Engineering, or equivalent experience Why join Eight Sleep? Innovation in a culture of excellence Join us in a workplace where innovation isn’t just encouraged - it’s a standard. Our flagship product, the Pod, is a testament to our culture of excellence, beloved by hundreds of thousands of customers worldwide. At Eight Sleep, you will be part of a team that continuously pushes the boundaries of technology in sleep fitness. Immediate responsibility and accelerated career growth From your first day, you’ll take on substantial responsibilities that have a direct impact on our core business and product success. We are a small team that empowers you to own your projects and see the tangible effects of your efforts, enhancing both your professional growth and our company’s trajectory. Your path will be challenging but rewarding, perfect for those who thrive in fast-paced environments aiming for high standards. Collaboration with exceptional talent Work alongside other bright minds like you: at Eight Sleep exceptional intelligence and a passion for breakthroughs are the norms. Our team members are not only experts in their fields but also avid innovators who thrive in our dynamic, fast-paced environment. Equitable compensation and continuous equity investment We extend equity participation to every full-time team member, recognizing and rewarding your direct contributions to our success. This includes periodic equity refreshments based on performance, ensuring that as Eight Sleep grows and succeeds, so do you – perfectly aligning your achievements with the broader triumphs of the company. Pay grows rapidly as you accumulate experience with Eight Sleep and translate it into concrete impact. Your own Pod - and other great benefits Every Eight Sleep employee receives the very product that defines our mission: a Pod of their own. If you join us you’ll get your own Pod, along with other benefits. Learn more at eightsleep.com/careers At Eight Sleep we continually celebrate the diverse community different individuals cultivate. As an equal opportunity employer, we stay true to our values by ensuring everyone feels they can flourish and grow. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Compensation Range: $180K - $250K

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:Are you a passionate and innovative engineer looking to help develop state-of-the-art AI and robotics products? Are you eager to make a positive difference in the world? Do you want to work alongside mission-driven and values-focused teammates? Shield AI is just the place for you! The Hivemind Quality team is committed to ensuring our autonomy platform delivers a seamless developer experience and enables customers to build world-class autonomous systems. We focus on integrating, validating, and continuously improving the Hivemind ecosystem—spanning autonomy behaviors, sensor processing, multi-agent coordination, ground-control systems, and embedded platforms. Our mission is to ensure that autonomy developers can efficiently build, test, and deploy autonomous applications that meet real-world mission objectives. We are seeking an experienced Software Integration Engineer passionate about autonomy development. In this role, you will become a power user of the Hivemind SDK, deeply understanding its capabilities and identifying gaps from a customer perspective. You will develop and validate customer use cases, evaluate the ease of use for autonomy developers, and provide actionable feedback to Engineering and Product teams. You will play a critical role in integrating new autonomy capabilities into the platform, assessing feature completeness, and anticipating novel customer workflows and edge cases. This position bridges the gap between engineering development and real-world autonomy applications—ensuring our platform empowers customers to build reliable, mission-ready autonomous systems. What you'll do: • Become a systems integration expert for autonomous robotics: Develop deep expertise in our AI-powered autonomy stack., • Learn to configure, deploy, and integrate multi-agent systems across simulation, hardware-in-the-loop, and flight platforms., • Understand the full system end-to-end—from sensor inputs to autonomous behaviors., • Integrate new capabilities into the autonomy stack: Collaborate cross-functionally with development teams to bring autonomy algorithms, perception pipelines, middleware, and platform interfaces into the integrated product. Ensure seamless interoperability between components., • Enable platform bring-up and validation: Lead the integration of autonomy software onto new robotic hardware platforms., • Configure sensor drivers, communication interfaces, and platform adapters to enable full autonomy stack functionality on prototype and production vehicles., • Develop integration tooling & infrastructure: Architect and implement integration frameworks, deployment scripts, and configuration management tools that streamline bringing new capabilities into Software-in-the-Loop (SIL), Hardware-in-the-Loop (HIL), and flight environments., • Support cross-platform compatibility: Work with other integration engineers to ensure the autonomy stack operates reliably across all supported platforms, operating systems, and deployment configurations. Identify and resolve integration issues across system boundaries., • Analyze system behavior and root-cause issues: Evaluate system logs, telemetry, and rosbag data to diagnose integration defects. Collaborate with developers to isolate issues to specific subsystems and drive resolution. Create analysis tooling to accelerate debugging., • Optimize integration workflows and CI/CD: Partner with DevOps teams to streamline integration pipelines, reduce build-to-deploy cycle times, and ensure robust continuous integration of new features. Define integration checkpoints and criteria for release readiness., • Validate system requirements and interface contracts: Work with engineers to ensure integrated capabilities meet product requirements and interface specifications. Assist in developing tooling to verify end-to-end system compliance and traceability.Required qualifications:, • Typically requires a minimum of 7 years of related experience with a bachelor’s degree in CS, Comp Eng, Robotics, or a related field; or 6 years and a master’s degree; or 4 years with a PhD., • Proficiency in programming languages including Python or C++., • Experience with autonomous systems or server applications or middleware., • Demonstrated experience designing integration workflows, communicating system dependencies, and triaging and reporting integration defects across subsystem boundaries., • Proficiency with simulation tools and hardware-in-the-loop (HIL) testing environments., • Strong expertise with CI/CD pipelines., • Strong problem-solving skills and a proven track record of delivering high-quality software solutions., • Excellent communication skills, capable of collaborating effectively across various teams and presenting to customers or technical leadership. Preferred qualifications:, • Demonstrated experience building complex systems with a strong understanding of software architecture and design principles., • Experience with hardware or embedded systems., • Expert knowledge of Python., • Experience with ROS., • Experience with white box testing, • Familiarity with networking, operating-systems, and radio communications., • Experience designing automated tooling for testing for GUI applications. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout GridwareGridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware’s advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit . Role DescriptionAs a Senior Data Engineer at Gridware, you’ll design and scale the data infrastructure that powers our real-time grid monitoring platform. You’ll build high-performance pipelines that transform massive streams of sensor and telemetry data into actionable insights - helping detect faults, predict failures, and strengthen the grid that powers entire communities.Responsibilities • Deploy and manage Unity Catalog to standardize data governance, lineage, and access control across data domains., • Design, develop, and maintain scalable data pipelines and architectures., • Implement data ingestion, transformation, and storage solutions., • Ensure data quality and integrity across various data sources and destinations., • Collaborate with software engineers, data scientists, analysts, and other stakeholders to meet data requirements., • Optimize and tune data workflows for performance and efficiency., • Monitor, troubleshoot, and resolve issues in data pipelines and related systems., • Document data processes, architecture, and workflow procedures. Required Skills, • 5+ years of professional experience in data engineering or related roles, building and scaling real-time data infrastructure, • Experience designing and maintaining data lakes and lakehouse architectures with governance and access controls, • Strong in Python and SQL, with deep experience in relational, time-series, and streaming databases, • Hands-on with modern data stacks - Spark, Kafka, Databricks, Grafana, and other cloud-native tools, • Skilled in data modeling, ETL/ELT pipelines, and real-time streaming architectures for production systems, • Experience with real-time data processing and streaming analytics frameworks, • Familiarity with IoT and embedded systems, including sensor data pipelines and edge computing, • Hands-on with Docker, Kubernetes, and Protobuf in production environments, • Exposure to machine learning workflows and real-time monitoring for IoT and time-series data

Job DescriptionCompany Description A venture-backed defense technology company is developing advanced directed-energy laser platforms designed to counter small unmanned aerial threats. The team operates in a fast-paced, hardware-focused environment where concepts move quickly from lab prototype to field deployment. We are seeking an experienced Senior Laser Systems Engineer to architect, develop, and validate beam-delivery and targeting subsystems for next-generation laser platforms. This role owns end-to-end beam-train design, automated aiming systems, and materials testing across both pulsed and continuous-wave (CW) regimes. Job Description Key Responsibilities * Design and assemble complete optical beam paths including coatings, mirrors, fiber/optic interfaces, and precision alignment fixtures to meet power and beam-quality targets * Architect and integrate automated aiming and targeting subsystems, combining optomechanics, sensors, and control-system interfaces for precision tracking and dwell control * Plan and execute material ablation experiments and optical damage-threshold characterization to refine durability and performance * Conduct wavelength and laser architecture trade studies considering efficacy, manufacturability, safety, and supply-chain constraints * Collaborate cross-functionally with mechanical, electrical, controls, and sensor engineering teams to ensure system-level integration * Drive rapid prototype builds, optical alignment, and range/field testing cycles, capturing performance data to iterate on designs * Develop optical alignment procedures, calibration workflows, and repeatable test methodologies * Generate technical reports, optical schematics, and design documentation throughout the development lifecycle * Ensure optical designs, lab practices, and field testing comply with relevant laser safety standards and export/regulatory requirements * Present technical findings, risks, and design updates to internal stakeholders and leadership Qualifications Required Qualifications * 4–7 years of experience in high-power or directed-energy laser development, optical-train engineering, or related fields * Deep proficiency with optical design software such as Zemax or Code V * CAD experience with tools such as SolidWorks or Creo * Hands-on experience with high-power coatings, mirror mounts, fiber-optic interfaces, and precision alignment techniques * Demonstrated experience with ablation testing and optical damage-threshold characterization * Familiarity with both pulsed and continuous-wave laser architectures and wavelength trade-offs * BS or MS in Optical Engineering, Physics, Electrical Engineering, or a related discipline * Strong analytical, communication, and collaborative problem-solving skills * Must be a U.S. Citizen or Permanent Resident Preferred / Nice to Have * Experience with field-deployed or defense-related optical/laser systems * Background in optical fiber handling and splice qualification * Environmental qualification testing experience (vibration, thermal shock, humidity, etc.) * Familiarity with ANSI Z136 laser safety standards and export control regulations * Active security clearance or ability to obtain one Additional Information Work Environment Highly hands-on laboratory and field environment with rapid hardware iteration, live testing cycles, and close collaboration across optics, electronics, and mechanical engineering teams. Ideal for engineers who thrive in experimental development and real-world hardware deployment. information will be kept confidential according to EEO guidelines.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: You will... • Drive Technical Execution: Lead the end-to-end systems engineering lifecycle for the Sensing, Perception, Maps, and Localization domains, ensuring timely delivery of robust solutions across hardware and software teams., • Architect Requirements: Create and refine Autonomous Vehicle (AV) Requirements using analytical and numerical methods, focusing on sensing capabilities, perception performance, sensor fusion, mapping, and pose estimation., • Own the Contract: Own the definition and requirements development of the Sensing, - - - Perception, and Localization contracts, covering sensor performance, calibration, data quality, and system degradation strategies., • Lead Cross-Functional Integration: Act as the primary technical liaison connecting AI and software engineers, hardware engineers, and safety teams to resolve complex system-level bottlenecks and build consensus on architectural trade-offs., • Validate via Data: Create methods and use physical and simulated data to inform and verify principled requirements for the entire sensor suite and localization pipeline., • Advance Simulation: Improve the simulation and synthetic data generation of sensor models for AVs., • Build the Safety Case: Directly contribute to the system safety case by mapping high-level safety goals to deployed architecture, ensuring traceability from requirements through to verification and validation (V&V)., • Elevate the Team: Mentor junior and mid-level engineers, fostering a culture of rigorous systems engineering, proactive risk management, and flawless execution within the Platform team. Qualifications: • Experience: 3+ years of industry experience in autonomous vehicles, robotics, or aerospace, with a proven track record of taking complex autonomous systems from R&D to deployment., • Domain Expertise: Strong foundation in AV systems, specifically in sensing (Lidar, Radar, Camera), perception algorithms, sensor fusion, mapping, and localization (e.g., GNSS/INS, SLAM, odometry)., • Technical Breadth: Deep knowledge of sensor physics, signal processing, data acquisition/management, and dealing with correlated system errors., • Systems Rigor: Expert knowledge of Systems Engineering and Verification & Validation (V&V) best practices, including requirements decomposition from high-level safety goals into detailed, verifiable functional and technical specs for Level 4 AV systems., • Safety Standards: Working knowledge of functional safety standards (e.g., ISO 26262) and translating probabilistic safety goals into physical, quantifiable metrics., • Programming: Comprehensive coding skills in Python, C++, or other common programming languages used for data analysis and systems modeling., • Simulation & Modeling: Extensive experience in sensor simulation, error modeling, and perception/localization requirements development., • Communication: Exceptional communication and stakeholder management skills, with the ability to distill complex technical risks into actionable decisions for leadership. Bonus: • AI/ML Integration: Experience working alongside generative AI architectures or integrating ML-based perception algorithms into deterministic, verifiable safety cases., • Advanced Safety: Familiarity with SOTIF (ISO 21448) and handling unknown-unsafe scenarios in autonomous driving., • End-to-End Systems: Applied and proven experience in building end-to-end perception or localization systems (e.g., object detection, tracking, scene understanding, HD map integration)., • Calibration Operations: Experience with sensor calibration and synchronization methods specifically for commercial trucking or heavy machinery., • Testing at Scale: Applied and proven experience with defining and executing test cases for perception/localization system performance (e.g., edge cases, challenging weather, GPS-denied environments)., • Domain Passion: A strong passion for robotics systems and an intuitive understanding of actual electro-mechanical problems in the context of self-driving or robotics. Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. 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.

Job DescriptionAbout Humble RoboticsWorking at Humble Robotics means taking on the biggest change in ground transportation in decades. We’re building an autonomous, zero-emissions hauler that dramatically lowers the cost of freight with groundbreaking vision-based AI, designed for today’s global logistics network. We’re a fast-moving, close-knit team of AV industry veterans and innovative thinkers. We don’t believe culture can be engineered – but when it falls into place, it’s a once-in-a-lifetime adventure. Progress has never felt so present. Position OverviewOwn design, integration, and early validation of new mechanical hardware for large autonomous vehicles.Key Responsibilities * Design, prototype, and validate mechanical systems and components for autonomous trucking platforms * Create detailed CAD models and engineering drawings for fabrication and assembly * Work hands-on in the shop to build, modify, and test hardware * Collaborate cross-functionally with electrical, software, and systems engineers * Support integration of sensors, compute hardware, and vehicle subsystems * Conduct root cause analysis and implement design improvements * Develop and execute test plans (bench and vehicle-level) * Manage parts sourcing, fabrication vendors, and assembly processes * Contribute to rapid iteration cycles and field deployments Required Qualifications * Bachelor’s degree in Mechanical Engineering or related engineering discipline * 2+ years of relevant industry or internship experience * Strong hands-on experience with shop tools, including: * Manual mill and lathe * Laser cutter * Power tools (drills, grinders, etc.) * Proficiency in CAD (SolidWorks preferred) • Familiarity with GD&T and tolerance stack-ups Experience designing for manufacturability and assembly (DFM/DFA) * Ability to build and test prototypes independently * Strong problem-solving skills and attention to detail * Comfortable working in a fast-paced, ambiguous startup environment • Familiarity with sheet metal, machining, and rapid prototyping methods (3D printing, CNC, etc.)Preferred Qualifications Experience working on large vehicles, or autonomous vehicles * Basic understanding of electrical systems and sensor integration * Experience with PLM/PDM systems * Familiarity with FEA or other simulation tools * Experience supporting field testing or deployments * Startup or small-team experience As part of the interview process, we may use Artificial Intelligence (AI) tools to compare your qualifications and experience to the job description. A human reviews all AI output and makes a final hiring decision. Humble Robotics does not rely on the output to make any employment decisions. Some applicants may have a legal right to opt-out of the use of AI as part of our interview process. Contact to exercise this right or if you have further questions on the use of AI tools in our hiring process. Humble Robotics is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, gender, age, religion, disability, sexual orientation, veteran status, marital status or any other characteristics protected by law. Humble Robotics will consider qualified applicants with arrest and conviction records in a manner consistent with local ordinances. 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.

Job DescriptionAbout Zipline Zipline is the world's largest and most experienced drone delivery service. We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build, and operate the world's largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products. Our customers include the world's largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. The drone is only 15% of what we've built to enable seamless, reliable, global operations. Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe. We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people's lives and by scaling the future of logistics. We are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds. About the Electrical Engineering Team At Zipline, the Electrical Engineering Teams are at the heart of our flight and ground systems, responsible for designing, building, and testing all the electronics and software that goes into a scaled instant logistics system. From custom circuit board design, EOL tester development, and sensor integration to real-time flight control and communication systems, the team ensures our platforms operate safely and effectively in some of the most challenging environments in the world. The team works cross-functionally with mechanical, test, embedded, software, and systems engineering teams to create scalable, high-performance products that power life-saving missions every day. The Role Leading the way in drone delivery often means exceeding the capabilities of what's available off the shelf, and as a result we are engineering the majority of our system in-house. Doubling down on the reliability of our systems is critical to delivering to our next billion customers--people whose lives will be meaningfully affected by smarter, more equitable access. We are deliberately expanding our electrical design and test capabilities and adding to the ranks of our experienced team to achieve these goals. We need dedicated engineers to burn down risk and improve reliability in our system like their life depends on it, because others' lives do. Electronics are where software meets the physical world, and so our electrical engineering team has a wide array of engineering skills and works with a variety of different teams. We need people who are comfortable working in different domains, thrive when working on a problem as part of a small group, and are able to communicate technical concepts clearly to a wide variety of stakeholders--software and mechanical engineers, hardware test and manufacturing, and operations and field support, to name a few. Our small team can get a lot done because our team members are strong individual contributors with a good grasp of electrical engineering fundamentals and the ability to define requirements for their systems, rapidly develop creative and simple solutions, and prove with testing that their work meets the rigors and edge-cases of real-world deployment. What You'll Do You'll have your own projects but we haven't been saving an "intern project" - you'll be a full member of our team, and like with our other engineers, we'll work with you to find projects that align with your goals and interests and the team's and company's priorities. Examples of previous projects for interns include: • Prototyping new versions of our battery charging electronics to meet harsher environmental requirements in new countries where we're launching our service, • Architecting ground support electronics to assist the air vehicle with take-off and landing, • Developing and deploying test equipment such as EOL's for design validation and production, • Supporting design validation campaigns to ensure that our avionics products meet design and reliability requirements, • Root cause investigation for our products from test, flight, or field issues.What You'll Bring, • Must have at least completed the second year of your Undergraduate studies. Masters and PhD students are also eligible., • You've designed and tested a custom circuit board (it doesn't need to have worked - we'd love to hear about it!), • You've worked on a project in or out of school that moved under its own power (plane, car, boat, quadcopter, rocket, balloon, rocket on a balloon, submarine, rover, etc. - we're not picky), • You've collaborated on the above two things as part of a group - school club, competition team, as part of a job/internship, or just with friends, • Experience in Robotics/Automation: Prior exposure to robotics systems, automation, or sensor data (through coursework, projects, or clubs) is a plus., • Software Development: Exposure to object-oriented programming (e.g., C++ or Java) is a bonus. Candidates are limited to three (3) applications within a 30-day period. The starting cash range for this internship is $38 - 42/ hour. Please note that this is a target, starting cash range for a candidate who meets the minimum qualifications for this role. The final cash pay for this role will depend on a variety of factors, including a specific candidate's experience, qualifications, skills, and working location. The total compensation package for each role may also include: a housing stipend; overtime pay; relocation support; paid sick time; and more. Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws or our own sensibilities. We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply! Zipline is also committed to providing reasonable accommodations to individuals with disabilities. Please let your point of contact at Zipline know if you require any accommodations throughout your interview process.

Job Description Position: Industrial Engineer – Integrated Biological Production Systems & Automation Location: South San Francisco Type: Full-time Desired start date: ASAP About the Role: We are seeking an Industrial Engineer to design, build, and integrate high-throughput, automated biological production systems. This work will focus on process improvements in the laboratory, greenhouse, and seed production processes. This role focuses on transforming manual, sequential laboratory workflows into scalable, production-grade systems through thoughtful process design, automation, and systems integration. As programs and processes evolve this role will expand to encompass all aspects of operations and operational excellence. This is a hands-on builder role with a systems architect mindset for someone who can rethink how biological processes are structured, connected, and scaled. You won't just automate lab steps — you'll design the systems that enable reliable, repeatable biological production. You will be responsible for driving operational excellence, which includes mentoring and leading teams in Continuous Process Improvement (CPI), 5S, Lean Six Sigma production, Kaizen events, and Gemba walks. What You'll Do: Re-Architect End-to-End Biological Workflows * Deconstruct manual laboratory workflows into core unit operations and system requirements * Redesign processes from first principles to be automation and/or process friendly rather than direct translations of laboratory of greenhouse SOPs * Architect end-to-end production workflows that optimize flow, timing, and resource utilization across process stages * Build by doing: run process to understand pain points and to build solutions Build, Integrate & Commission Automated Systems * Hands-on design, build, and commissioning of automated and semi-automated biological workflows * Integrate robotics, liquid handling, incubation, sensing, imaging, and sample tracking into cohesive production platforms * Work directly with automation engineers, integrators, and vendors and production associates to prototype, test, and deploy systems Assay Development for Scalable Production * Partner with biology and R&D teams to adapt assays for throughput, robustness, and automation compatibility * Drive assay standardization, simplification, and turnaround-time reduction to support scalable workflows * Ensure assays integrate cleanly into production timelines and operational constraints Throughput, Yield & System Optimization * Define performance targets for throughput, yield, turnaround time, and system reliability * Identify bottlenecks, variability, and failure modes across interconnected biological processes * Use production data to guide iterative system and process improvements Systems Integration & Technical Ownership * Own interfaces between biology, automation hardware, software, data systems, and operations * Ensure smooth handoffs between tissue culture, gene editing, assays, genotyping, and greenhouse teams. * Influence upstream process design by embedding manufacturability and automation considerations early Production Readiness & Scale-Up * Take systems from concept to prototype to pilot and into production * Develop SOPs, process documentation, and training materials grounded in real system behavior * Support production ramp, troubleshooting, and continuous improvement Qualifications: Required * Bachelor's degree in Industrial Engineering, Manufacturing Engineering, Mechanical Engineering, or related field * 7+ years of experience building and scaling automated or semi-automated production systems * Experience translating manual laboratory workflows into integrated, high-throughput systems * Strong background in process flow, system architecture, and throughput modeling * Hands-on experience with equipment integration and system commissioning * Lean Six Sigma Black Belt or equivalent * Experience leading operational excellence initiatives. Preferred * Experience with tissue culture, gene editing, assay development, genotyping, or DNA extraction * Familiarity with lab automation, robotics, liquid handling, imaging, and sensor-driven systems * Experience operating in contamination-controlled or regulated lab environments * Track record of building first-of-kind or non-standard biological production systems Who You Are * A builder who enjoys getting systems off the ground and making them work in practice * A systems thinker who optimizes end-to-end workflows, not isolated steps * Comfortable operating across wet lab biology, automation hardware, and production environments * Motivated to turn complex, manual biological workflows into scalable production systems The anticipated base pay range for this role is $120,000 - $160,000 per year for our South San Francisco location. As a new role with Ohalo, the pay offered to the selected candidate will be determined based on a number of factors such as (but not limited to) the final scope and responsibilities of the position, the qualifications of the selected candidate, budget availability, internal equity, geographic location and external market pay for comparable jobs. About Ohalo: Ohalo™ aims to accelerate evolution to unlock nature's potential. Founded in 2019, Ohalo develops novel breeding systems and improved plant varieties that help farmers grow more food with fewer natural resources, increasing the yield, resiliency, and genetic diversity of crops to sustainably feed our population. Ohalo's breakthrough technology, Boosted Breeding™, will usher in a new era of improved productivity to radically transform global agriculture. For more information, visit . Notes: If you previously applied for a job at Ohalo Genetics, we encourage you to restate your interest in the position by submitting your application. No visa sponsorship is available for this position at this time. This organization participates in E-Verify. Posters linked here. No recruiters, please.

Job Description Lead Payload Systems Engineer Location: Moriarty, New Mexico Employment Type: Full-Time, On-Site Who Are We: Sceye is a high-growth technology company, building the next generation of instant communications, imaging and remote sensing infrastructure through stratospheric platforms. Our lighter-than-air high-altitude platform systems (LTA HAPS) are capable of maintaining position over an operational area in the stratosphere (altitudes of 18 – 21km). They can carry multiple telecommunications, imaging and remote sensing payloads, providing unique functionality, cost, environmental and societal advantages. Our HAPS be deployed in a matter of days and at a fraction of the cost of traditional infrastructure solutions. This makes them an ideal solution for providing telecommunications connectivity, emergency solutions in the event of natural or other disasters, environmental and infrastructure monitoring, Earth observation and a range of defense applications. Our customers & partners include some of the largest global telecommunications companies, infrastructure operators, climate researchers, civil and defense agencies. At Sceye, we aim high, and we want you to join us at the stratospheric edge of innovation. As part of our mission-driven team, you’ll contribute to building breakthrough technologies that are changing the way we connect and observe the world. We are looking for individuals who bring not only deep expertise but also bold vision and an unwavering commitment to excellence. About the Position: The Lead Payload Systems Engineer will serve as the technical authority and systems/ integration lead for all payload systems onboard our High-Altitude Platform (HAPS). This role is responsible for end-to-end payload lifecycle - from requirements definition and interface design through integration, test, and flight readiness. The ideal candidate combines strong systems engineering fundamentals with hands-on experience in integrating multi-sensor or communications payloads into complex flight systems. Lead Payload Systems Engineer will lead Sceye’s payload operations, overseeing the design, integration, testing, and deployment of mission payloads across multiple programs. You will be responsible for the entire payload lifecycle — from concept and development through flight operations and data delivery. The ideal candidate brings both systems-level thinking and hands-on technical expertise in aerospace payloads, instrumentation, or remote sensing systems. What You’ll Do: • Payload System Ownership, • Lead the technical integration of all payloads (e.g., EO, telecom, hyperspectral, LiDAR, radar, or custom sensor systems) into the flight platform., • Define and maintain the payload-to-platform interface requirements (mechanical, electrical, data, thermal, and RF)., • Ensure payload design meets platform-level performance, safety, and mission requirements., • Integration & Verification, • Develop and execute payload integration, verification, and validation (IV&V) plans for lab, ground, and flight environments., • Coordinate payload integration testing — mechanical fit checks, EMI/EMC, thermal-vacuum, vibration, and functional performance., • Lead troubleshooting, anomaly resolution, and root-cause analysis during integration and flight test campaigns., • Cross-Functional Leadership, • Collaborate closely with Systems Engineering, Avionics, Flight Operations, and Mission Planning teams to ensure seamless payload integration., • Act as primary technical interface with payload vendors, ensuring timely delivery and compliance with interface control documents (ICDs)., • Drive design reviews (PDR, CDR, TRR) for payload subsystems and contribute to platform-level reviews., • Documentation & Compliance, • Own and maintain payload-related documentation: interface control documents (ICDs), configuration management, and test reports., • Ensure payloads meet applicable aerospace standards and regulatory requirements (FCC, FAA, ITAR/EAR, etc.)., • Support creation of flight-readiness documentation and mission assurance reviews., • Innovation & Continuous Improvement, • Identify and implement design and process improvements that enhance payload integration efficiency, reduce mass/power budgets, and increase reliability., • Contribute to system-level architecture studies for future payload capabilities and missions. What We’re Looking For: • Bachelor’s degree in Aerospace Engineering, Systems Engineering, Physics, or related field., • 10+ years of experience in payload systems design, integration, and operations., • Proven track record managing complex payloads with multiple interfaces and stakeholders., • Deep understanding of systems engineering principles, configuration management, and verification processes., • Experience with CAD tools (e.g., SolidWorks, CATIA) and system modeling tools (e.g., DOORS, Cameo, SysML)., • Strong understanding of electrical power systems, data buses (Ethernet, SpaceWire, CAN), and RF architectures., • Proven leadership of complex, multi-disciplinary aerospace or satellite projects., • Strong understanding of EO/IR sensors, data processing, and communication payloads., • Experience with systems engineering, verification & validation, and flight operations., • Excellent communication, organizational, and leadership skills. Preferred: • Master’s degree or higher in a relevant engineering or scientific discipline., • Experience with HAPS, LEO satellites, UAVs, or high-altitude systems., • Knowledge of FAA and NASA payload integration standards. What We Offer: At Sceye, we’re building more than high-altitude platforms—we’re building a workplace where people (and their pups) thrive. Here’s what you’ll enjoy: • Chef-Prepared Lunches – Fresh, onsite meals to keep you fueled and focused., • Snacks & Refreshments – Enjoy a variety of snacks and drinks available throughout the day., • Wellness Perks – Access to a gym, pickleball court, and an outdoor dog kennel., • Dog-Friendly Environment – Bring your four-legged friends to work and enjoy a pet-welcoming space., • Comprehensive Health Coverage – Medical, dental, vision, and disability insurance, with over 82% of premiums covered—and 100% for everything else., • 401(k) with Match – Company contributions that are yours from day one., • High-Performance Culture – Join a collaborative, inclusive environment where your work helps shape the future of aerospace. Equal Opportunity Employer: Sceye is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, disability, veteran status, or any other legally protected status. We encourage individuals from all backgrounds to apply, especially those who bring unique perspectives and experiences that can help us grow and innovate. If you require reasonable accommodation during the application or interview process, please contact us—we’re happy to assist.

Job DescriptionWaabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to “drive” safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: As a Research Engineer, you will be at the forefront of advancing and deploying artificial intelligence algorithms for our self-driving vehicles. You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that enable our vehicles to understand and navigate the world around them. We value originality, innovation, and a commitment to rigorous experimental validation and code quality as we strive to bring research ideas into production and push the boundaries of self-driving technology. Senior engineers are welcome to apply. You will...- Prototype, evaluate, and iterate on solutions, using real-world data and simulations, to improve the accuracy, robustness, and safety of our self-driving algorithms.- Formulate problems and propose pragmatic and long-term solutions based on research insights, leveraging your expertise in deep learning, computer vision, and self-driving technologies.- Support deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into our self-driving system.- Champion engineering excellence, ensuring high-quality, well structured and tested code.- Collaborate in a multidisciplinary team solving problems related to perception, motion forecasting, planning, traffic modeling and sensor simulation, integrating research findings into our self-driving system and contributing to the development of a unified self-driving platform.- Stay up-to-date with the latest advancements in the field of artificial intelligence, machine learning, computer vision, and self-driving technologies, and apply insights from the literature.- Work with large datasets from various sources as well as Waabi World, our high-fidelity simulator.- Contribute to the publication of research findings in conferences as well as Waabi's blog. Qualifications:- Bachelor's in computer science, engineering, machine learning, or a related technical discipline.- Experience working on applied research projects.- Passion for taking research ideas and turning them into practical solutions for real-world applications.- Solid understanding of computing fundamentals, including code efficiency.- Proficient in Python programming with a focus on writing high-quality, well-structured, and tested code.- Comfortable working with large datasets for machine learning applications. Bonus/nice to have:- Master/PhD in machine learning, computer science, engineering, or a related field.- Experience in shipping machine learning features/models into production.- Strong grasp of machine learning literature, including current trends and state-of-the-art techniques.- Previous experience in self-driving technology or related fields.- Publications in top-tier conferences or journals related to artificial intelligence, machine learning, computer vision, or self-driving technology.- Experience in working with platform teams and collaborating with research teams to implement and validate deep learning models.- Solid experience with concurrent, parallel, and distributed computing techniques for efficient computation.- Proficiency in Pytorch, Rust, C++ and/or CUDA.The US yearly salary range for this role is: $122,000 - $215,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. 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.

Job DescriptionAbout PykaPyka’s goal is to provide society with a new form of safe, clean, and cost-effective transportation enabled by autonomous electric aviation. To get there, we’re taking a different approach than most. We're applying our technologies to every industry where autonomous electric aircraft can be useful, starting with the highest value and most dangerous jobs. In doing so, we're building game-changing products manufactured at scale, while perfecting the safety, reliability, and capabilities of our autonomy engine and electric propulsion systems. We design, develop and manufacture an ecosystem of technologies including proprietary flight control software, avionics, high power density motors, motor controllers, batteries, and custom carbon-fiber composite airframes. Today, we supply autonomous electric aircraft for cargo transport and crop protection to real-world customers across four separate continents and have secured industry-first regulatory approvals from the FAA. Our cargo aircraft enables remote connectivity, enhances express delivery networks, and ensures fast and reliable shipping of critical supplies to areas in need. Our crop protection aircraft offers agricultural services providers and farmers an autonomous tool to make aerial application safer, more precise, and less harmful to surrounding environments. Both vehicles are highly economical to operate, easy to deploy, and significantly reduce CO2 emissions in their respective industries. What you work on at Pyka makes people’s lives better now and brings the future of electric aviation one step closer each day. Role Overview Pyka is looking for an Electrical Engineer to join our experienced and enthusiastic team of engineers. In this role, you will be responsible for system level and component level design and testing across a wide range of subsystems. Below is a list of current hardware projects that you will contribute to. Your roles and responsibilities will vary significantly from one week to the next. * Dual-computer flight computer with multiply redundant power distribution system for actuators and avionics * High power density motor controller (30kW ~ 100kW) * BMS/Contact controller for redundant battery system * Air data board * Electronics for spray systems * Various PCBs to streamline testing of the above hardware Candidates who thrive in fast-paced environments working with a small team will love this role. Responsibilities • Develop complex electrical subsystems involving FPGA, microprocessors, power, analog, and sensor integrations, • Complete the entire PCBA design cycle including architecture selection, component selection, schematic design, PCB layout, and working with manufacturers, • Test and validate subsystems to meet performance and reliability requirements, • Work with cross-functional teams (Mechanical Engineering, Software, and Flight Testing) on aircraft integration and system level testing, • Occasional travel (approximately one week every 2-3 months) to customer sites to support new aircraft deployments or EE subsystem debugging, • Write design and testing documents, • We understand that candidates bring different strengths and experiences, and you don’t need to meet every qualification to be considered. If this role excites you, we’d love to learn more about you. You may be a great fit even if your background doesn’t align perfectly with the list.Preferred Qualifications, • 3+ years of hands-on experience designing and testing microprocessor based circuitry and interfaces to various peripherals; experience with (low to medium speed) FPGA is a plus, • Experience designing power electronics systems such as DC-DC converters, BMSs, and motor controllers, • Experience designing safety critical systems, considering system redundancy as well as failure mode and effects analysis, • Familiarity with general schematic design and PCB layout tools such as Altium, OrCAD, Allegro, Eagle, KiCad, etc., • Willingness to travel internationally for up to 10% of the time, • An inquisitive attitude with an ability to quickly and deftly research new topics and develop mastery of new subjects, • Excellent written and verbal communication skills; the ideal candidate is not afraid to ask for clarification or give feedbackCompensation and Benefits • equity. Compensation will vary depending on location, job-related knowledge, skills, and experience. Salary ranges are subject to change. • Employer-sponsored health, dental and vision insurance, • FSA with employer matching, • 401(k), • Paid holidays, generous PTO, and additional unpaid time off, • Voluntary short-term disability, long-term disability, and life insurance, • Pre-tax commuter benefits

Job DescriptionAt Ouster, we build sensors and tools for engineers, roboticists, and researchers, so they can make the world safer and more efficient. We've transformed LIDAR from an analog device with thousands of components to an elegant digital device powered by one chip-scale laser array and one CMOS sensor. The result is a full range of high-resolution LIDAR sensors that deliver superior imaging at a dramatically lower price. Our advanced sensor hardware and vision algorithms are used in autonomous cars, robotics, industrial, and smart infrastructure applications (among many others). If you’re motivated by solving big problems, we’re hiring key roles across the company and need your help!Our team is looking for a passionate, self-motivated Manufacturing Test Software Engineer with strong in-depth knowledge of test software and product engineering. In this position, you will be a member of the Test team at Ouster’s R&D / Pilot facility in San Francisco, California. You will work closely with R&D and Operations to support LiDAR products by using your skills and experience to identify and facilitate the improvement of manufacturing tests and processes. This position will be a on-site position in our San Francisco, CA location. Duties & Responsibilities: • Provide ongoing maintenance, support, and enhancements to existing and future test systems and platforms., • Be a subject matter expert, responsible for driving and implementing test time reduction, yield improvements, process optimization, quality improvements, and overall production readiness., • Ensure quality control systems and standards (GR&R, SPC, Control Charts, etc.) are implemented., • Use your skills to not only find problems but also identify the root cause to implement solid corrective/preventive actions using tools such as 8D Problem Solving, 5 Whys, 3P, Fishbone, etc., • Participate in scalability and manufacturability projects to scale production with increasing volumes., • Prepare and update technical documents including, but not limited to, test work instructions, tester corrective active plans, and training documents., • Oversee, instruct, and train test operators during the production bring-up process., • Use your expertise to participate and lead development in annual improvement initiatives. Qualifications:, • Education: Bachelor’s degree in Computer Science, a related engineering field, or equivalent work experience., • Experience: 5+ years of hands-on experience in manufacturing product testing, Python programming, or test automation development., • Programming: Strong proficiency in Python (coding, debugging, and data collection)., • Software Engineering: In-depth knowledge of the full SDLC, coding standards, code reviews, and build processes., • Automation: Experience with test measurement equipment and robotic automation., • Version Control & Ops: Experience with source control management and operations., • Tools: Familiarity with issue tracking and CI/CD tools (Jira, Confluence, Gitlab/Bitbucket, Jenkins, etc.)., • Deployment: Experience deploying test software across various platforms and operating systems., • Systems: Experience with multi-platform environments (Windows and Unix/Linux).Preferred Qualifications:, • Domain Expertise: Experience with LiDAR, optical, electrical, or mechanical products., • Data Analysis: Proficiency with specific tools like JMP, Tableau, or SQL., • 80% of office / administrative desk work and hand articulation for typing / handling of paperwork / etc., • Ability to lift up to 10lbs as needed, part of office / clerical workThe base pay will be dependent on your skills, work experience, location, and qualifications. This role may also be eligible for equity & benefits. ($107,000 - $150,000) We acknowledge the confidence gap at Ouster. You do not need to meet all of these requirements to be the ideal candidate for this role. Ouster is an Equal Employment Opportunity employer that pursues and hires a diverse workforce. Ouster does not make employment decisions on the basis of race, color, religion, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military status, or any other basis protected by local, state, or federal laws. Ouster also strives for a healthy and safe workplace, and prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance, Ouster considers qualified applicants with arrest and conviction records for employment. If you have a disability or special need that requires accommodation, please let us know. Powered by JazzHR N9a1e5ebG3

Job DescriptionJoin the Sleep Fitness Movement At Eight Sleep, we’re on a mission to fuel human potential through optimal sleep. As the world’s first sleep fitness company, we’re redefining what it means to be well-rested and building the most advanced hardware, software, and AI technology to make it possible. Our products power peak mental, physical, and emotional performance by transforming every night of sleep into a personalized, data-driven recovery experience. We are trusted by high performers, professional athletes, and health-conscious consumers in over 30 countries worldwide. Recognized as one of Fast Company's Most Innovative Companies in 2019, 2022, and 2023, and twice named to TIME's “Best Inventions of the Year.” We operate like a high-performance team: fast, focused, and motivated by impact. We don’t just ship; we iterate, refine, and obsess over the details that help our members sleep better and wake up stronger. Every role at Eight Sleep is a chance to create cutting-edge technology, collaborate with world-class talent, and help shape a future where sleep isn’t passive - it’s a powerful tool for living better. If you’re tired of the ordinary and driven to build at the edge of what’s possible, this is your moment. Join us and lead the movement that’s transforming how the world sleeps and what we’re all capable of when we wake up. High Standards. No Apologies. We operate with intensity because our mission demands it. At Eight Sleep, we bring the same mindset as the world’s top performers: focused, relentless, and always pushing to be in the top 1% of our craft. Think Kobe Bryant’s mamba mentality, applied to bold ideas, next-gen tech, and flawless execution. This isn’t a 9-to-5. Our team is deeply committed, often putting in 60+ hours a week –not because we’re told to, but because we’re invested. We’re here to build fast, push limits, and deliver without compromise. If you thrive under pressure and want to do the most meaningful work of your career, you’ll feel right at home. If you’re looking for something easier –this isn’t it. The Role Eight Sleep is the first sleep fitness company. At Eight Sleep we design products at the forefront of sleep innovation. Our mission is to make people’s sleep count for more, using innovative technology, minimalistic design, and proven clinical science to personalize and improve each night for everybody—changing the way people sleep forever and for better. Our temperature-regulated technology, the Pod, is an absolute game changer. It improves people's health and happiness by changing the way they sleep. The Pod was recognized two years in a row by TIME's “Best Inventions of the Year.” It is available for purchase in North America and internationally. Backed by leading Silicon Valley investors including Valor Equity Partners, Founders Fund, Khosla Ventures and Y Combinator, we’ve raised over $150 million (Series C) to date. We were recognized as one of Fast Company’s Most Innovative Companies in Consumer Electronics in 2019, 2022, and 2023. That is why Eight Sleep is looking for research scientists with a passion for using AI & Machine Learning to transform sensor data into personalized intelligent health & fitness experiences. Today, we offer heart rate, heart rate variability, sleep, and other metrics. Tomorrow, your imagination will unlock new meaningful metrics that will induce behavior change for better sleep and better health. To do so, you will work closely with a cross-functional R&D and production team to prototype and to ship solutions. We are seeking someone who is passionate about health technologies and about making an impact on health outcomes. We look for people who tackle problems with a system approach, and make data driven decisions to deliver the best products to our users. How you'll contribute * Example projects include: * Autopilot Thermoregulation: Advance the Pod’s adaptive thermoregulation system - the “autopilot” system that continuously learns and reacts to micro-events like restlessness or awakenings. Design policies that optimize comfort and sleep quality in real time through reinforcement learning and closed-loop control. * Health Foundation Modeling: Develop a multimodal health foundation model that integrates physiology and environmental context - learning from Pod signals, wearable sensors, and contextual data - powered by one billion+ hours of sleep data at Eight Sleep. Behavioral simulations: Build a high-fidelity physiological simulator that models how daily behaviors ripple into tonight’s sleep and tomorrow’s readiness. This initiative aims to create a non-invasive, always-on model of healthy aging powered by Pod biosignals and continuous physiological data. What you'll need to succeed * Expertise in at least one area of machine learning and artificial intelligence (e.g., self-supervised learning, multi-modal ML, model optimization, NLP, LLM) * Strong interest in applying machine learning to health related problems and data * Experience using a programming language (Python, C/C++ etc.) to manipulate data, draw insights from large data sets, and train machine learning models * 3+ years of practical experience applying ML to solve real-world problems or relevant quantitative and qualitative research and analytics experience * PhD in Computer Science, Machine Learning, AI, Statistics, Mathematics, or related quantitative field with a notable publication record; or BS/MS with publications at top venues (e.g. NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ACL, EMNLP, INTERSPEECH) Why join Eight Sleep? Innovation in a culture of excellence Join us in a workplace where innovation isn’t just encouraged - it’s a standard. Our flagship product, the Pod, is a testament to our culture of excellence, beloved by hundreds of thousands of customers worldwide. At Eight Sleep, you will be part of a team that continuously pushes the boundaries of technology in sleep fitness. Immediate responsibility and accelerated career growth From your first day, you’ll take on substantial responsibilities that have a direct impact on our core business and product success. We are a small team that empowers you to own your projects and see the tangible effects of your efforts, enhancing both your professional growth and our company’s trajectory. Your path will be challenging but rewarding, perfect for those who thrive in fast-paced environments aiming for high standards. Collaboration with exceptional talent Work alongside other bright minds like you: at Eight Sleep exceptional intelligence and a passion for breakthroughs are the norms. Our team members are not only experts in their fields but also avid innovators who thrive in our dynamic, fast-paced environment. Equitable compensation and continuous equity investment We extend equity participation to every full-time team member, recognizing and rewarding your direct contributions to our success. This includes periodic equity refreshments based on performance, ensuring that as Eight Sleep grows and succeeds, so do you – perfectly aligning your achievements with the broader triumphs of the company. Pay grows rapidly as you accumulate experience with Eight Sleep and translate it into concrete impact. Your own Pod - and other great benefits Every Eight Sleep employee receives the very product that defines our mission: a Pod of their own. If you join us you’ll get your own Pod, along with other benefits At Eight Sleep we continually celebrate the diverse community different individuals cultivate. As an equal opportunity employer, we stay true to our values by ensuring everyone feels they can flourish and grow. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Job Description About The Role: As an AI Robotics CV Engineer, you are building a robot that must understand the 3D world around it with the same fluency a human does; from precise object localization to spatial reasoning across dynamic environments. This role focuses on the geometric and structural vision systems that underpin everything the robot perceives and acts on. What You'll Do • Design and train deep learning models for 3D scene understanding, geometric reasoning, and spatial reconstruction, • Develop vision pipelines for object detection, pose estimation, depth perception, and scene segmentation on-robot, • Build and iterate on occupancy and world-representation networks that operate in real-time on edge hardware, • Create automated data generation pipelines to produce high-quality training data at scale from fleet/robot deployments, • Research and implement state-of-the-art techniques from 3D vision, NeRF, Gaussian splatting, and related fields, • MS/PhD or equivalent experience in Computer Vision, Robotics, or Machine Learning, • Strong background in 3D computer vision — stereo, depth estimation, point clouds, SLAM, or structure-from-motion, • Proficiency in PyTorch or JAX; experience training large-scale models end-to-end, • Demonstrated ability to take models from research to production deployment, • Experience with camera calibration, multi-camera systems, and sensor fusion, • Publications or shipped products in geometric vision, embodied AI, or autonomous systems preferred

Job DescriptionAbout us Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production. Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator. The role As a Solutions Engineer at Encord, you'll be the core technical expert for customers building autonomous vehicles, robotics, and physical AI solutions. Your expertise in LiDAR data, sensor fusion, and perception will be critical as you architect data solutions for prospects at the cutting edge of autonomous systems. You'll partner with Account Executives to drive technical wins while establishing Encord as the definitive platform for managing multimodal sensor datasets. This role combines deep LiDAR technical expertise with customer-facing impact.What you'll do • Lead technical discovery with perception teams working on autonomous systems, understanding their sensor stack, model development pipelines, and data challenges, • Architect complete solutions for complex multimodal datasets (LiDAR + camera + radar fusion, sensor calibration), • Act as technical authority on how Encord handlesWho we're looking for, • A creative problem-solver with a hacker mindset who builds robust scripts and integrations quickly, • An excellent communicator, comfortable engaging both perception engineers and executive stakeholders, • Customer-obsessed and passionate about solving complex technical problems, • Deep empathy for autonomous systems engineers managing massive 3D datasetsExperience requirements, • 1+ years working with LiDAR data in autonomous vehicles, robotics, or physical AI applications, • Strong Python programming or other scripting language proficiency, • 3D perception knowledge — point cloud processing, 3D object detection, semantic segmentation, SLAM, • Autonomous systems experience with ROS, sensor calibration, coordinate transformations, and multimodal sensor integration, • Prior experience in a customer-facing technical role (Solutions Engineering, Technical Account Management, or similar), • Expert in LiDAR data formats (PCD, LAS, PLY, etc.) and point cloud processing, • Understanding of sensor calibration, coordinate transformations, and sensor fusion, • Knowledge of ML frameworks, model development processes, and perception model requirements, • Experience with cloud infrastructure (AWS, GCP, Azure), APIs, and SaaS platformsWhy Encord, • Competitive salary, commission, and meaningful equity in a high-growth start-up, • Clear, accelerated growth opportunities as the company scales rapidly, • Strong in-person culture: 3–5 days/week in our newly launched North Beach loft office, • Flexible PTO to fully recharge, • 18 paid vacation days in the U.S. plus federal holidays, • Annual learning & development budget, • Comprehensive health, dental, and vision coverage, • Frequent travel opportunities across the U.S., London, and Europe, • Bi-annual company offsites, twice-weekly team lunches, and monthly socialsOTE

Job DescriptionAbout Zipline Zipline is the world's largest and most experienced autonomous delivery service, founded to serve all humans equally by ensuring access to essential goods anytime, anywhere. We design, build, and operate the world's largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries including blood, vaccines, medical supplies, food, and commercial products. Our customers include healthcare systems, governments, retailers, and global brands who rely on us to save lives, reduce emissions, increase economic opportunity, and provide new logistics services at scale. Our technology goes beyond drones. We deploy integrated logistics infrastructure that strengthens supply chains, reduces congestion, and enables instant delivery, transforming how essential goods reach people everywhere. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe. We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people's lives and by scaling the future of logistics. About You and The Role Zipline is operating the world's largest autonomous logistics network—delivering critical medical and commercial goods globally with high reliability, precision, and scale. As we expand into increasingly complex, safety-critical environments, the systems behind our autonomy stack must be robust, adaptable, and deeply integrated—especially at the intersection of perception and deployment. We're hiring senior and staff perception engineers to join our Droid team, the group responsible for the autonomy that powers Zipline's backyard delivery experience. This team owns the full stack of onboard, offboard and cloud-side perception systems enabling precise and reliable delivery in complex customer backyards. You'll build realtime 3D perception models that capture geometry, scene semantics and preference for both delivery and package pickup. You'll develop across the entire perception stack, from optimizing the onboard TensorRT engines to building a data flywheel that finds interesting samples from our long-tail of customer deliveries. You will work closely with the planner team to make sure we build the right system, rather than just the best perception model. This is not a research role—you'll be expected to move fast, ship production-grade systems, and find clever ways to apply state-of-the-art techniques to tangible, high-impact problems. What You'll Do • Implement, train and evaluate real-time 3D perception models that work with two or more cameras across one or more timesteps, • Run these models onboard a resource-constrained computer, finding ways to optimize and reduce compute and memory footprints, • Build visualization, introspection and eval tooling to deeply understand model performance both on test datasets as well as "in the wild", • Help design and implement data selection pipelines that identify the most valuable data from the field, then help our annotation teams label these faster through the use of prelabeling or pseudo-ground-truthing these samples., • Work closely with the droid planner team, building a strong interface between the two subsystems and tracking the right metrics to ensure we're always hill-climbing towards a better overall system, • Stay up to date with research in the field, drive experimentation, and help keep Zipline's modeling stack in lockstep with powerful new paradigms in real-time compute-constrained 3D perceptionWhat You'll Bring, • At least 5+ years of experience building and deploying deep learning-based perception systems, particularly in 3D geometry, semantic understanding, or mapping from cameras, • Strong understanding of classical computer vision (e.g. camera calibration, epipolar geometry, structure-from-motion, SGBM stereo) and the ability to blend it with modern ML approaches., • Expertise and depth with robotics fundamentals: you should be able to reason about reference frames, matrix math, SE(3) manifolds and probabilistic sensor fusion, • Hands-on experience training, iterating on, and optimizing CNN and transformer architectures on target hardware: think NVIDIA-Jetson sized compute, • An engineering mindset focused on outcomes over experimentation—you know how to prioritize what's good enough to ship now and what needs to be architected for scale later., • Familiarity with building training, data annotation, and evaluation pipelines—not just models., • Comfort working across systems: jumping into data pipelines, training infrastructure, or debugging distributed training issues as needed., • Experience deploying models in real-world, high-stakes robotics or autonomy applications is a strong plus - a robot will move based on the outputs of your perception system Why This Team? • You'll own novel real-world autonomy problems that matter—delivering essential goods around the world, in thousands of diverse backyards and environments., • Your work will be used thousands of times a day by real end-customers receiving their deliveries by drone in production, • You'll have autonomy and trust to define the roadmap and drive architectural decisions that shape Zipline's global operations., • You'll work on cutting-edge problems with people who care deeply about quality, systems thinking, and solving hard problems with elegance and clarity. A Few More Things Zipline is an equal opportunity employer and encourages candidates from historically underrepresented backgrounds to apply—even if you're not sure you're a perfect fit. If you care about shipping high-impact autonomy systems in production, we want to hear from you. What Else You Need to Know The starting cash range for this role is $180,000 - $265,000. Please note that this is a target, starting cash range for a candidate who meets the minimum qualifications for this role. The final cash pay for this role will depend on a variety of factors, including a specific candidate's experience, qualifications, skills, working location, and projected impact. The total compensation package for this role may also include: equity compensation; overtime pay; discretionary annual or performance bonuses; sales incentives; benefits such as medical, dental and vision insurance; paid time off; and more. Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, ancestry, national origin, religion or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other characteristics protected by state, federal or local law or our other policies. We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply!

Job Description At Ouster, we build sensors and tools for engineers, roboticists, and researchers so they can make the world safer and more efficient. We've transformed LIDAR from an analog device with thousands of components to an elegant digital device powered by one chip-scale laser array and one CMOS sensor. The result is a full range of high-resolution LIDAR sensors that deliver superior imaging at a dramatically lower price. Our advanced sensor hardware and vision algorithms are used in autonomous cars, drones and many other applications. If you’re motivated by solving big problems, we’re hiring key roles across the company and need your help! We are looking for a Optical Engineer to design our next generation of lidar sensors. The ideal candidate will have experience designing and modeling optical and opto-mechanical systems to perform over a wide range of environments. This role will also collaborate with electrical, mechanical, and semiconductor experts to define and release products into high volume manufacturing. They should be comfortable simulating, designing and validating optical design with real world testing. RESPONSIBILITIES • Optical design of LiDAR for athermalization and shock/vibe scenarios, • Optical and opto-mechanical simulations to evaluate system performance and provide feedback for design trades, • Improve / design optical alignment and performance testing equipment, • Opto-mechanical conceptual design for next generation products, • Manage and provide technical feedback for work done by outside optical consultants, • Tolerancing and sensitivity analysis of optical and opto-mechanical components along with an understanding of reasonable fabrication tolerances, • Work with vendors to have high precision optical and opto-mechanical components fabricated and verified, • Generate novel IP and work with counsel to document inventions, • Strong optics fundamentals, with experience using multi-lens optical systems and semiconductor lasers, • Strong in Zemax (sequential and non-sequential) optical simulation software, for both optical design, tolerancing, and performance analysis, • Experience with hands-on, lab based optical test setups for validating optical performance metrics, • Experience managing optical component vendors and design consultants, • Experience with Structural, Thermal, Optical Performance (STOP) analysis and athermal design are a plus. SolidWorks and ANSYS Mechanical are key tools at Ouster., • Experience working with optical systems designed for production quantities We acknowledge the confidence gap at Ouster. You do not need to meet all of these requirements to be the ideal candidate for this role. Ouster is an Equal Employment Opportunity employer that pursues and hires a diverse workforce. Ouster does not make employment decisions on the basis of race, color, religion, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military status, or any other basis protected by local, state, or federal laws. Ouster also strives for a healthy and safe workplace, and prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance, Ouster considers qualified applicants with arrest and conviction records for employment. If you have a disability or special need that requires accommodation, please let us know. Powered by JazzHR iN43k16F09

Job DescriptionAll.Health is hiring a Backend Engineer to architect and build scalable systems for ingesting, processing, and managing diverse health data sources—from continuous wearable signals to episodic clinical records. You will work on the backbone of a platform that combines real-time data, AI insights, and personalized care pathways to transform healthcare delivery. You should be comfortable working with regulated health data (PHI/PII), building privacy-aware and HIPAA-compliant systems, and have strong experience working with event-driven architectures, secure APIs, and health data standards (e.g., FHIR, HL7, BLE protocols). Full-stack experience, especially building internal tools or patient/provider-facing dashboards, is a strong plus.Core Responsibilities • Design and implement scalable backend services that ingest, transform, and persist diverse health data (wearable sensor streams, EHRs, user inputs).Build APIs and data pipelines for real-time and batch processing, ensuring data integrity, security, and compliance, • Integrate with external systems and protocols including FHIR APIs, BLE-based devices, Apple HealthKit, and Google Fit., • Ensure backend services are designed for high availability, reliability, and low latency, especially for real-time clinical decision support, • Collaborate with security and compliance teams to ensure HIPAA-compliant handling of PHI/PII data., • Work cross-functionally with product, clinical, and AI teams to align backend capabilities with user-facing experiences and clinical workflows, • Contribute to CI/CD pipelines, observability tooling, and data quality monitoring, • Support and mentor teammates across engineering functions, especially around secure coding and data access best practicesRequirements, • Bachelor’s or Master’s degree in Computer Science or related, • 5+ years of experience delivering products end-to-end, from ideation through planning and scoping to implementation, • Full-stack experience, including building dashboards, admin tools, or data visualizations with React/Next.js, Tailwind, etc, • Proven software architecture experience, patterns of large, high-scale applications, • Experience integrating 3rd-party health platforms and APIs, including EHRs, remote monitoring tools, or insurance data exchanges, • Background in working with data warehousing, analytics platforms, or data lakes for longitudinal health data, • Exposure to clinical workflows, remote patient monitoring, or population health management systems, • Familiarity with data governance, data provenance, and auditing frameworks for regulated environments, • Passion for writing clean, maintainable, and testable code, • Excellent programming and computer science fundamentals, and a deep love for technology, • Ability to adapt and learn new skills coupled with a resourceful, can-do attitudeOutstanding attention to detailProficient experience with Git, Github, Jira or similar project enablement toolsTechnical Requirements, • Strong Python backend engineer (FastAPI, Flask, Django) with understanding of distributed systems, microservices, and asynchronous workflows (Celery), • Solid database experience with PostgreSQL or MySQL; comfortable with Kafka or similar event-streaming systems and enforcing data contracts and idempotency, • Competent in test architecture using PyTest (fixtures, contract tests), Hypothesis (property-based testing), and Locust (performance/load testing), • Skilled in observability and reliability engineering - instrumenting metrics, traces, and logs to measure and improve real-world system behavior, • Hands-on with Kubernetes, containerized CI/CD pipelines, and cloud environments (Azure, AWS, GCP)Familiar with OAuth2, TLS certificate management, and secure service communication, • Understands security and compliance principles (HITRUST, HIPAA, FDA 510(k)), encryption, and evidence generation for audits, • Experience with HL7 or FHIR interfaces - message parsing, composition, and secure data exchange in healthcare environments, • Systems-oriented mindset: treats testing, automation, and monitoring as first-class engineering concerns; pragmatic, collaborative, and effective across the full stackExperience with Java or other JVM-based languages preferred, • Experience with RustWhat We're Looking For, • Builder mindset with a passion for delivering robust, scalable, and secure systems in healthcare, • Comfortable working in a fast-paced, mission-driven environment where data accuracy and integrity are paramount, • Willingness to get hands dirty across the stack when needed and collaborate across disciplines, • Curious, thoughtful, and focused on long-term maintainability and resilience, • Deeply motivated by improving health outcomes through technology

Job DescriptionCompany Description iMETALX, Inc. is building the future of space autonomy — enabling space systems to perceive, reason, and act reliably in dynamic environments. We provide Space Domain Awareness (SDA) and In-Space Servicing, Assembly and Manufacturing (ISAM) solutions to government and commercial customers, delivering autonomy software that brings real capability to operators: perception, navigation, decision-making, and control. Our mission is to become the best company in the world at spacecraft autonomy and computer vision, spanning missions from LEO to xGEO, and enabling sustainable, scalable operations across the space domain. Over the next 12–24 months, we will be building deployable mission software in environments where reliability, traceability, and security are imperative— without compromising innovation. Role Overview We are seeking a Chief Software Architect to serve as the technical lead and systems-level architect for our spacecraft autonomy stack. This role will define and own the end-to-end software architecture for autonomy capabilities supporting SDA and ISAM missions: • Multi-sensor perception and world modeling, • Estimation and relative navigation support for ISAM/RPO missions, • Data pipelines (synthetic + real), • Embedded deployment to ground station infrastructure, as well as flight/edge hardware, • Government-ready security posture and delivery workflows This is a role for someone who wants to architect autonomy that flies — not just publish papers or create prototypes that never leave the lab. What You’ll Own1) Architecture of the Autonomy Stack (Core Mission) • Define and maintain the end-to-end architecture for a production-grade spacecraft autonomy stack, spanning:, • perception + sensor ingest (EO/IR, multi-camera, star trackers, etc.), • calibration, time-sync, and sensor health monitoring, • world modeling / representation (relative state, scene understanding, object modeling), • state estimation interfaces (relative navigation, uncertainty propagation), • decision & autonomy interfaces (planning hooks, constraints, safety gating), • fault detection, fallback modes, and confidence-driven behavior switching, • Build scalable, modular designs that transition cleanly from:, • R&D prototypes → validated algorithms → flight/edge-capable products → mission operations, • including clear separation between:, • offline training/evaluation pipelines, • on-orbit/edge inference pipelines, • mission operations tooling, • Establish rigorous interface contracts and architectural guardrails so autonomy capabilities remain:, • reliable, • testable, • upgradeable, • safe to deploy into mission environments (especially for ISAM / RPOD scenarios)2) Autonomy Software Engineering Excellence, • Establish patterns for high-reliability autonomy software:, • modular architectures, clear interfaces, versioning, • deterministic execution where needed, • fault detection, fallback modes, and observability, • Implement rigorous engineering practices without slowing innovation. 3) Deployment Across Cloud + Edge / Embedded Hardware, • Drive design decisions across the entire compute surface area:, • cloud data pipelines and model training, • simulation environments and evaluation infrastructure, • embedded inference on real hardware (e.g., GPU edge devices / flight-relevant compute), • Ensure production performance in real constraints:, • latency, memory, power, bandwidth, thermal constraints, • repeatability, robustness, recoverability 4) System Reliability, Safety, and Security, • Work with DevSecOps to ensure architecture supports:, • secure builds, controlled release pipelines, • Government security requirements, traceability, auditability, • secure deployment into customer/government environments CUI up to TS levels, • Design for safety in autonomy contexts:, • bounded behaviors, • explicit failure modes, • confidence estimation and gating 5) Technical Leadership + Team Development, • Lead and mentor a multidisciplinary autonomy software team (~10+ engineers in year 1, and multiple teams in year 2), • Conduct design reviews, set coding standards, define architecture guardrails, • Help recruit top-tier engineers and develop internal technical leadership 6) Research Awareness → Practical Capability, • Stay current on the autonomy and perception research landscape:, • CV foundation models, pose estimation, multi-view geometry, • neural implicit representations, 3D reconstruction, • tracking/filtering methods, uncertainty quantification, • Translate research into deployable product capability:, • evaluate, prototype, validate, productize Responsibilities, • Own perception stack architecture across software layers and teams, • Drive end-to-end technical strategy, with clear tradeoffs and rationale, • Create architecture artifacts:, • system design documents, interface contracts, data schemas, • “golden path” workflows for training → evaluation → deployment, • Lead design reviews and ensure consistent implementation across teams, • Enable continuous improvement in performance, scalability, and reliability, • Partner with hardware teams to ensure:, • deployment feasibility, • sensor-to-model integration integrity, • testability and validation strategy, • Communicate architecture decisions clearly to:, • leadership, • program/customer stakeholders Required Qualifications • 10+ years of professional software engineering experience, with a strong emphasis on software architecture and design., • Expert knowledge of computer vision and machine learning with hands-on experience developing production-grade systems., • Demonstrated experience in developing systems for robotics or autonomous vehicles., • Proficiency in Python and C++, with demonstrated ability to guide technical teams in software development processes., • Experience with leading cross-functional teams in the development of complex systems., • Familiarity with GPU-based programming (CUDA) or leading-edge methodologies in computer vision., • Strong problem-solving skills and a thorough understanding of software performance optimization techniques., • Ability and willingness to work on-site in Sausalito, CA., • U.S. citizenship due to ITAR export-control restrictions; only U.S. citizens are eligible for this position. Preferred Qualifications • Active U.S. Security Clearance, • Demonstrated experience in developing space systems., • Hands-on experience with cloud-native architecture and integration processes., • Strong network of industry contacts and thought leadership within the software development community., • Competitive Salary, • Health Insurance/Dental, • Paid Time Off, • 401k, • Performance Bonus, • Equity

Job DescriptionWaabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to “drive” safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: As a Senior Perception Engineer, you will be at the forefront of advancing and deploying perception algorithms for our self-driving vehicles. You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that enable our vehicles to perceive the world around them. We value originality, innovation, and a commitment to rigorous experimental validation and code quality as we strive to bring research ideas into production and push the boundaries of self-driving technology. You will... - Prototype, evaluate, and iterate on perception algorithms, using real-world data and simulations, to improve the accuracy, robustness, and safety of our self-driving technology. This includes working on 3D detection and tracking of traffic agents as well as semantic understanding of various traffic scenes.- Formulate problems and propose pragmatic and long-term solutions based on research insights, leveraging your expertise in deep learning, computer vision, and self-driving.- Support productizing and deploying perception algorithms to our self-driving vehicles, collaborating closely with platform teams to ensure seamless integration of research findings into our self-driving system.- Champion engineering excellence, ensuring high-quality, well structured and tested code.- Collaborate in a multidisciplinary team solving problems related to perception, motion forecasting, planning, traffic modeling and sensor simulation, integrating research findings into our self-driving system and contributing to the development of a unified self-driving platform.- Stay up-to-date with the latest advancements in the field of artificial intelligence, machine learning, computer vision, and self-driving technologies, and apply insights from the literature.- Work with large datasets from various sources as well as Waabi World, our high-fidelity simulator.- Contribute to the publication of research findings in conferences as well as Waabi's blog. Qualifications:- MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Computer Science, Machine Learning and/or similar technical field(s) of study.- Experience working on applied research projects.- Experience driving projects on 3D detection, tracking of traffic agents and/or semantic understanding of various traffic scenes.- Passion for taking research ideas and turning them into practical solutions for real-world applications.- Solid understanding of computing fundamentals, including code efficiency.- Proficient in Python programming with a focus on writing high-quality, well-structured, and tested code.- Comfortable working with large datasets for machine learning applications.- Strong grasp of machine learning and computer vision literature, including current trends and state-of-the-art techniques.- Open-minded and collaborative team player with the willingness to help others.- Experience and excitement in supporting a fast-paced high-growth environment.- Passionate about being part of an organization solving self-driving technologies. Bonus/nice to have:- Experience in shipping machine learning features/models into production.- Previous experience in multimodal sensor fusion. - Previous experience in self-driving technology or related fields.- Publications in top-tier conferences or journals related to computer vision, machine learning, or robotics.- Experience in working with platform teams and collaborating with research teams to implement and validate deep learning models.- Proficiency in Pytorch, Rust, C++ and/or CUDA.The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. 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.