44 jobs found

Job Description Job Description About the team The Sensing R&D team at Q-CTRL transforms quantum research into deployable technologies that address real-world problems. We design, build, and field-validate an array of quantum sensors that support our key products, including Ironestone Opal - our solution for GPS-denied navigation. You don't need a background in quantum to make an impact here. We value strong engineering fundamentals, a product mindset, and a drive to solve the hardest engineering problems in quantum sensing today. About the role At Q-CTRL, we're developing navigation and quantum sensing technologies for real-world environments. We're looking for a Hardware Integration Engineer to own the mechanical and electrical integration of our sensing and navigation systems onto UAS platforms, preparing them for lab, field, and flight deployment. You'll work closely with systems, software, and hardware engineers across the US and globally to integrate, bring up, debug, and modify systems across mechanical and electrical domains. As our platforms mature, you'll also help improve integration practices, documentation, and repeatability while supporting defense and aerospace programs at the intersection of hardware, software, and field operations. What you'll be doing: Own the mechanical and electrical integration of Q-CTRL sensors and auxiliary hardware onto UAS platforms, delivering reliable, flight-ready systems. Develop and implement integration-specific mechanical and electrical components as required, including brackets, fixtures, cabling, and interface hardware. Build and bring-up integrated hardware systems and execute bench, environmental, and functional testing. Work closely with systems and software engineers to implement defined interfaces and ensure subsystems operate together reliably. The role will involve intermittent domestic and international travel and regular communication across time zones. Plan and document integration builds, test configurations, results, and anomalies to support traceability and repeatability. Liaise with suppliers and support procurement activities for prototype builds. Assist maintaining equipment, consumables, and safe laboratory practices. Other duties within the Employee's skills and experience, or with reasonable training. Ideally you'll have: A Bachelor's degree in Mechanical Engineering, Electrical Engineering, Mechatronics, or related field. Proven hands-on experience integrating complex electro-mechanical systems in aerospace, UAS, robotics, or advanced R&D environments. Strong practical skills in prototype assembly, wiring, harness fabrication, electro-mechanical build and rework. Experience developing mechanical and electrical components using a variety of CAD tools. Proficiency with tools, testing, measurement equipment, fabrication, and experience with rapid prototyping. Experience collaborating with systems and software teams on integration requirements. Exposure to low-level embedded software or driver development, and the ability to support or oversee minor driver modifications where required is advantageous but not essential. Comfort working autonomously in lab and field environments to support flight testing activities. Experience supporting field trials or flight testing is highly desirable. Familiarity with documentation, configuration management, and quality practices that support reproducible builds. This position may require access to information which is subject to the International Traffic in Arms Regulations (ITAR). All applicants must be 'U.S. persons' as defined in 22 CFR 120.62 About Q-CTRL Q-CTRL is the global leader in AI-powered quantum control infrastructure software. We build the tools that make quantum technology useful, solving the hardest challenges in quantum computing and quantum sensing to deliver real-world impact. Founded in 2017, we operate globally with offices in Sydney, Los Angeles, San Francisco, Huntsville, Berlin, and Oxford. Our teams bring together technical and multi-disciplinary expertise across the product lifecycle, and we're hiring talent to help scale every part of the business. We work quickly to turn cutting-edge science into deployable technology. In 2024 we raised US$113 million in Series B funding, the largest aggregate investment for a quantum software company. Six months later we delivered the first commercial quantum advantage with Ironstone Opal, our field-validated quantum navigation solution for defense and industry. At Q-CTRL, we prioritize outcomes over hours. We offer flexibility, equity potential, and competitive benefits that reflect our high-performance culture. If you're ready to help shape the future of quantum, we'd love to hear from you! Please be advised that our communications will only come from domain. All our active job postings are available on our company website. To recruitment agencies, we do not accept unsolicited branded profiles and are not responsible for any fees related to unsolicited resumes. 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 Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Special Projects team at Shield AI is an elite force within the office of the CTO. It consists of a group of very senior (L5-L8) and highly experienced software engineering experts from diverse fields (aerospace, robotics, cloud infrastructure, game development, interactive media design, ). The charter of this group is to steer technology development towards strategic alignment with the CTO's vision, through tactical insertion into teams and technologies across the organization. Individuals within this team make direct and at times forward-sprinting contributions to all three pillars of Hivemind, Shield AI's software ecosystem for developing and deploying resilient intelligent teaming for aircrafts. Hivemind consists of four products: EdgeOS (C++ based high-performance middleware for autonomy development), Pilot (autonomy for the edge built atop EdgeOS; a models-based, modular and open architecture C++ codebase), Forge (Shield AI's AI Factory for the design, development, and testing of Hivemind Edge systems; a service-oriented architecture leveraged through an SDK, CLI, and web portal; a Go, Python, Typescript codebase), Commander (Software and hardware to support rich human-in-the-loop and human-on-the-loop interactions with the Hivemind; a C++-based back-end for interaction with Pilot; and a web-application UI for mission planning, command and control by operators implemented in a Typescript/React codebase). The Special Projects team is chartered to operate effectively within ambiguity. While this team does not own any software products, it tactically and strategically impacts the development of all foundational Hivemind products and leverages those technologies to rapidly deliver low-TRL solutions. This work happens shoulder-to-shoulder with the product teams in some cases, and in a forward-sprinting manner within the Special Projects team in other cases. The result is direct contribution to products in the former case, and development of reference implementations in the latter. The Special Projects team also functions as a pipeline for product and solution engineering teams across the organization. Individuals who enter the Special Projects team rapidly gain depth and breadth in their understanding of the Hivemind software ecosystem. This positions them well for leading technology development effort across the product and solution organization. What you'll do: Design and build the user experience for agentic AI products across the office of the CTO: an enterprise knowledge assistant (Brain), an agent-driven engineering platform (Springboard), and enterprise AI/data applications. Prototype in code. Ship working React/TypeScript implementations, not mockups - then land them in production with the product teams. Design the core interaction patterns of agentic software: streaming responses, citations and provenance, multi-modal input, artifact sharing, and human-in-the-loop review and approval surfaces. Design interfaces for foundation-model based autonomy architectures and model lifecycle tooling: evaluation dashboards, trace inspection, observability, and verification surfaces. Conduct user research across engineers, operators, and executives; define personae and translate findings into design decisions. Investigate competing agentic and enterprise AI products; synthesize findings for engineering and product leadership. Establish reusable design patterns and a component vocabulary for AI applications across the organization. Drive adoption: instrument what you ship, watch real usage, and iterate daily. Required qualifications: 12+ years designing and building production software interfaces, with end-to-end ownership from research through shipped product. Expert-level React/TypeScript; you write production-quality front-end code, not just prototypes. Portfolio of shipped tools or applications demonstrating strong interaction design and visual craft. Hands-on experience designing LLM-powered experiences: streaming, progressive rendering, loading states, context and conversation management. Deep knowledge of client and UI state management, the DOM, browser APIs, WebSockets, and Server-Sent Events. Experience running user research and usability testing, and acting on the results. Strong software hygiene: Git, code review, testing, CI/CD. Fluid intelligence that allows one to operate effectively in ambiguous conditions while finding opportunities to drive technical efforts and force multiply. Experience with Linux, Docker, and a major cloud platform (Azure, GCP, AWS). This role requires travel to a Shield AI location 1-3 times per quarter Preferred qualifications: Experience designing developer tools, IDEs, or engineering workflow products. Data visualization experience (D3, WebGL, dashboards); geospatial a plus. Experience building or maintaining a design system. Experience designing debugging/inspection UIs for generative AI systems. Experience with Electron (or similar). Experience with user experience design for video games or interactive media. Experience designing for "low code" or "no code" systems. Comfort reading C++ and/or Python and/or Go. Senior staff: $190,000-$290,000 Principal: $230,000-$340,000 Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description About Astera Astera is a private foundation on a mission to steer science and technology toward a better future. We believe the coming years will bring an era of unprecedented scientific and technological advancement as exponential progress in AI converges with central advances in other fields to accelerate innovation. This inflection point provides an unparalleled opportunity to fundamentally rethink the institutions, systems, and tools that drive progress. We have committed a $3.5B endowment to that work and fit the form of our support to the function it serves: grants, investments, and in-house research programs. We accept meaningful risk in the research we back and expect some of it to fail because transformative ideas are rarely the ones already proven. Our projects, and the foundation itself, operate like high-velocity startups, with a high performance bar and competitive compensation to match. We are searching for leaders who are compelled by the challenge of driving high-impact change in the way science is funded, conducted, and communicated. You can read more about our mission, vision, and programming at astera.org/vision. About Astera Neuro Astera Neuro seeks to understand and engineer consciousness. We believe consciousness is the process by which the brain builds a coherent internal model of the world and the self. We aim to understand this model and to develop the technologies to write experience directly into the brain. By combining large-scale neural recording, causal perturbation, and brain-based AI, we seek to move neuroscience from observing correlates of experience to engineering it. The same tools carry direct therapeutic promise for neurological and psychiatric diseases that alter perception, thought, and sense of self. Because the science and tools required do not yet exist, we are assembling a founding team of neuroscientists, theorists, and engineers to create them. We do high-risk, high-reward science in a well-resourced, collaborative environment with competitive pay, and share everything openly under Astera's Open Science Policy. Position Summary Working closely with our experimental, surgical, and software teams, probe engineers here design and build the recording hardware - the probes, insertion mechanisms, and robotics that determine how much of the brain we can see, and how well. The role spans three tightly coupled problems: the probe (thin, flexible, high-density electrode arrays), the needle (the micro-machined tool that carries a probe past the meninges without damaging it or the tissue), and the robot (the precision system that places many probes quickly, accurately, and repeatedly while avoiding vasculature). You will move fluidly across mechanical design, microfabrication, and control, and you will own hardware from initial concept through benchtop validation and into the recording rig. We are hiring at multiple levels. As an Engineer, you will lead well-defined hardware projects with regular guidance. As a Senior Engineer, you will own hardware lines end-to-end, drive design decisions, and set fabrication and test strategy. As a Principal Engineer, you will define the probe and robotics roadmap, mentor engineers, and shape how mechanical, fabrication, and control work fit together at Astera. We will calibrate scope and title to your experience. What You'll Do Design flexible, high-density neural probes; thin-film polymer arrays (polyimide, Parylene C, or comparable) patterned with hundreds to thousands of microelectrodes, from layout through fabrication and encapsulation. Build probe-to-chip integration and the readout signal chain, bonding high-density electrode arrays to amplifier and acquisition electronics, and developing the low-noise front-end that amplifies, digitizes, and streams microvolt neural signals to the acquisition system. Design insertion needles and needle-pincher mechanisms; micro-machined and electrochemically etched tools that grasp, insert, and release flexible probes at micron-scale placement accuracy. Develop insertion strategies that solve the hard mechanics of putting a flexible thread into soft tissue; managing bending stiffness and buckling, temporarily stiffening the probe for insertion, and mitigating the forces that build up across many closely spaced insertions. Build a precision insertion robot; multi-axis motion, servo and linear-motor drives, and the real-time control that makes placement fast, accurate, and repeatable. Develop machine-vision guidance for the robot; imaging and computer vision that locate targets, guide the needle to them, and avoid surface vasculature during insertion. Build electrode characterization and process pipelines, impedance and electrochemistry (e.g., Pt, PEDOT coatings), yield, and reliability testing that turn a working prototype into a manufacturable part. Who You Are Required: Strong hands-on engineering across mechanical design and prototyping; you move fluently between CAD, the machine shop, and the benchtop. Experience building precision electromechanical or robotic systems (multi-axis motion, servo/linear-motor control, tight tolerance stacks). Familiarity with microfabrication and thin-film processes (photolithography, deposition, etching, cleanroom work), or a demonstrated ability to pick them up fast. Comfort with real-time control and the software that drives hardware (Python plus C/C++ or comparable; embedded, FPGA, or RTOS a plus). Working knowledge of the signal-acquisition chain - how low-level analog signals are amplified, digitized, and acquired - and comfort collaborating with electronics engineers on it. Genuine interest in building instruments for neuroscience, and in the tissue-mechanics constraints that make this problem hard. Preferred/Nice to Have: Flexible/thin-film electrode microfabrication (polyimide, Parylene C, PDMS) and electrode electrochemistry. Micro-machining and electrochemical etching of fine metal tooling (e.g., tungsten, tungsten-rhenium). Low-noise analog/mixed-signal front-end design for recording microvolt-scale signals (amplification, filtering, multiplexing, digitization). High-density interconnect and packaging; bonding fine-pitch electrode arrays to electronics (e.g., flip-chip, wire bonding, ACF, or comparable). Precision motion control, machine vision, or real-time closed-loop robotics. Surgical or medical-device hardware, including sterilization, sterile workflow, and design under regulatory constraints. Neural interfaces, MEMS sensors, or other implantable devices. Contributions to open-source hardware, instrumentation, or scientific-computing projects. Additionally Expected at Senior / Principal Level A track record of taking hardware from concept to working, validated device; owning design tradeoffs, fabrication, and test. Experience making and defending tradeoffs across precision, reliability, manufacturability, and biocompatibility. Comfort working across the stack, from mechanical design and fabrication to control software and system integration. A history of mentoring engineers or leading technical initiatives (Principal level). Education PhD with 3 to 12+ years of experience. Backgrounds in mechanical, electrical, biomedical, or materials engineering, mechatronics, robotics, applied physics, MEMS/microfabrication, or related fields are all welcome. Graduate work or research experience is a plus but not required. We value demonstrated skill and relevant experience above credentials. Compensation The posted salary range is based on location in the Bay Area. The successful candidate will receive a competitive compensation package, commensurate with their experience and location. Why Join Us Astera Neuro is hiring a probe engineer to design the flexible neural probes, insertion needles, and precision robotics that make large-scale recording possible: devices that place thousands of electrodes with micron precision while sparing the tissue around them. If you want to build the physical instrument at the heart of a new neuroscience, let's talk. Astera Neuro provides a comprehensive benefits package and total compensation that is competitive and commensurate with the level of experience and qualifications. We are an equal opportunity employer and value diversity and inclusion! Compensation Range: $200K - $350K

Job Description Job Description About Humble Robotics Working 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 Overview Own and support the sensors on our next-generation autonomous trucks, from selection and characterization through placement, commissioning, and on-vehicle validation. You will define what "good" means for every camera, lidar, radar, microphone, and INS on the truck, prove it in the lab and in the field, and be the person Perception and Autonomy come to when sensor data does not look right. Key Responsibilities Write and own sensor requirements. Make them testable, tie each one to an autonomy or safety need, and defend the rationale in cross-functional reviews. Run field of view, coverage, and occlusion studies for a Class 8 tractor-trailer. Quantify blind zones, cross-modality overlap, and trailer articulation effects, and use that analysis to drive sensor placement decisions. Characterize remote-sensing systems, including camera, lidar, radar, microphone, IMU, and GNSS: resolution, SNR, dynamic range, latency and jitter, point density, range and reflectivity, detection and false alarm rates, angular accuracy, bias and drift. Own sensor commissioning and bring-up, including procedures, automation, qualification tests, diagnostics, and drive improvements for repeatability and throughput. Design and build test setups and test benches. Experience with measurement tools, power supplies, t-slot rail, power distribution, and bracket design preferred. Support testing, evaluation, federation, and continued operation of vehicles, sensors, and vehicle platforms. Support data collection, automation, review, and analysis for bench and on-vehicle tests, for characterization, failure analysis, reliability estimation, systems analysis, and performance modeling. Work directly with Autonomy and Software to turn perception needs into measurable sensor KPIs, and with Hardware on mounts, enclosures, harnessing, power, thermal, and networking. Lead root cause analysis on sensor issues from bring-up, DV, and on-vehicle operation, and close the loop into specs and design changes. Minimum Qualifications BS in Electrical Engineering, Mechanical Engineering, Physics, or related, and 3 or more years of hands-on sensor and engineering experience. Test automation, scripting, and data analysis experience. Field of view and coverage analysis experience, including geometric modeling of sensor placement on a vehicle or robot. Experience with at least two of camera, lidar, radar, or INS/GNSS. Strong grasp of the underlying physics: optics and photometry, lidar range equation and reflectivity, radar RCS and antenna patterns, inertial error models and GNSS/INS fusion behavior. Proven cross-functional collaboration with autonomy, perception, software, and hardware teams. Fluent in Python for test automation and data analysis. Comfortable on a vehicle and in the shop Experience writing test reports and procedures someone else can execute. Preferred Qualifications Prior experience at an AV, robotaxi, autonomous trucking, or ADAS program at an OEM or Tier 1. Commissioned sensor suites across multiple vehicle builds or program phases. Took a sensor from evaluation through supplier qualification onto a production vehicle. Heavy-duty truck or large articulated platform experience. Working knowledge of, GMSL, Automotive Ethernet, CAN/CAN FD, and PTP. Sensor modeling or simulation for placement trade studies. Exposure to functional safety and SOTIF as applied to sensor performance and degradation. Compensation Salary ranges are determined by role, level, and location. Within the range, individual pay is determined by additional factors, including qualifications, skills, experience, and location. We also offer competitive equity compensation and benefits. 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 and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description About Zipline Zipline is the world's largest and most experienced drone delivery service. We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build, and operate the world's largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products. Our customers include the world's largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. The drone is only 15% of what we've built to enable seamless, reliable, global operations. Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe. We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people's lives and by scaling the future of logistics. We are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds. About You and The Role Zipline operates autonomous delivery systems spanning cloud services, customer and operational data, embedded software, aircraft, and field infrastructure. Security must protect those systems, customers, partners, and the people who rely on them while enabling engineering teams to deliver safely and quickly. As Head of Information Security, you will own company-wide information security and privacy strategy and lead a lean, technical organization across application, product and corporate security. You will first focus the company on its most consequential risks and remediation decisions, then build the engineering capabilities, controls, and operating model that scale with Zipline. You will define and communicate a clear company-wide security strategy, align leaders around it, and work hands-on with engineers to build and operate the security capabilities that address our highest-priority risks. As Zipline continues to grow, you'll have the opportunity to grow with it, taking on broader scope and organizational leadership as the company's needs evolve. What You'll Do Set security and privacy strategy, risk posture, roadmap, operating model, and investment priorities across product, infrastructure, data, corporate technology, and physical systems. Identify and sequence the company's highest-consequence risks, driving clear remediation decisions with Engineering, IT, Legal, Safety, Operations, and Physical Security. Be a pragmatic problem solver who helps engineering teams move quickly and securely. Make tradeoffs clear, find practical ways to reduce risk, and build tools and processes that make secure development easy. Communicate material security and privacy risk clearly to company leaders and partners, translating technical findings into business tradeoffs and investment decisions. Lead a software security engineering team that owns security capabilities in production, contributes fixes and reusable platforms, and works alongside Engineering to eliminate systemic vulnerability classes. Build and develop a high-performing team through hiring, coaching, clear expectations, and direct performance management. Establish security architecture and practices for identity, access control, secrets, data protection, applications, cloud infrastructure, embedded software, aircraft, and field infrastructure. Lead threat modeling, testing, vulnerability management, incident response, and security reviews; measure risk coverage, remediation, readiness, control effectiveness, and secure-engineering adoption. What You'll Bring Proven senior leadership experience in a highly technical, fast-paced organization, with experience operating at scale and leading security through rapid growth. Demonstrated experience owning security strategy and hands-on execution across information security, product security, or security engineering. A software engineering foundation, including experience building production software, security systems, or technical controls. Technical depth across application, infrastructure, cloud, identity, data, and hardware security. Experience securing safety-critical or cyber-physical systems, such as embedded, robotics, aerospace, automotive, or industrial technology. Experience leading serious security incident response and assessing threats from sophisticated external attackers. Judgment balancing security, privacy, legal obligations, safety, engineering velocity, customer needs, and business objectives while working directly in a lean team. What Else You Need To Know This role is based in our South San Francisco office and requires working onsite five days a week. The starting cash range for this role is $250,000 - $350,000; please note that this is a target, starting cash range for a candidate who meets the minimum qualifications for this role. We are always open to negotiation. 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, 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! Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file. As set forth in Zipline 's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

Job Description Job Description Senior Electrical Engineer, Robotics About you and this role Robust AI is a fast-growing, early-stage startup founded in 2019 by an unsurpassed team of veterans in robotics, AI, and business. We are a collaborative group with a wide range of backgrounds and perspectives, seeking talented individuals who are just as excited about robotics and AI as we are! Help us redefine the very foundation of robotics and build robots that are smart, collaborative, robust, safe, flexible, and genuinely autonomous. As a Senior Electrical Engineer at Robust AI, you will join a small, fast-paced team designing and deploying the next generation of warehouse robotic systems. You'll own schematic capture and board layout for custom PCBs, get your hands dirty debugging and bringing up hardware on our current robot fleet, and help inform the design of our next-generation robot. You thrive in ambiguity, move quickly, and are comfortable wearing multiple hats - the kind of engineer who's happiest when a scope, a soldering iron, and a stack of datasheets are all within arm's reach. You're excited about seeing robots deployed at scale, and you can pivot effectively as priorities shift in an early-stage startup environment. Main responsibilities Design, prototype, and iterate custom PCBs for the robot, from schematic capture through board layout Hands-on bring-up, debugging, and testing of electrical hardware on our current robot fleet Collaborate with the team to formulate electrical architecture and inform next-generation robot design Generate design documentation and lead design reviews Conduct bench modifications and rapid hardware prototyping to unblock development Engage with cross-functional engineering team members (mechanical, firmware, software) to fulfill and enhance performance requirements while optimizing hardware/firmware interfaces Support firmware integration, testing, and debugging alongside the firmware team as needed Work directly with fab houses and contract manufacturers to take boards from prototype through production Minimum qualifications Bachelor's degree in electrical engineering, computer engineering, or equivalent 5+ years of experience in electrical/hardware engineering Strong electrical and embedded systems fundamentals Experience with schematic capture and PCB layout (Altium preferred) Proven track record of releasing boards to production, with designs that meet EMC compliance requirements Hands-on experience debugging complex electromechanical hardware with tools such as scopes, logic analyzers, and DMMs Familiarity with communication protocols such as USB, I2C, SPI, UART, RS485, etc. Comfortable working in a fast-paced, early-stage startup environment and able to pivot effectively as priorities change Strong written and verbal communication skills, with the ability to communicate complex technical concepts clearly to both technical and cross-functional audiences Preferred qualifications (bonus) Firmware development in C Python scripting and comfort working in Linux environments Proficiency with microcontrollers, preferably the STM32 family Familiarity with BLDC motors and motor control Background in robotic or mechatronic systems What we offer Base pay between $160,000 and $200,000, depending on your skills, qualifications, and experience Stock options and huge potential for growth Strong startup (and fun) culture Medical, dental, and vision coverage Flexible vacation and sick leave practices Paid parental leave Robust AI fosters a culture of belonging and a shared commitment to equality and equity. Having a diverse set of perspectives is key to ensuring AI and robotics serve the needs of all. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description 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 Director, Global Field Application Engineer to build and lead the team that sits between Ouster's digital lidar sensors and the customers designing them into autonomous vehicles, robots, and smart infrastructure around the world. You'll grow and manage a distributed field application engineering organization, own our technical relationship with top automotive, robotics, and industrial accounts, and make sure the voice of the customer shapes what we build next. RESPONSIBILITIES Build, lead, and scale a global field application engineering (FAE) team across the Americas, EMEA, and APAC, providing pre-sales technical support to automotive, robotics, industrial, and smart infrastructure customers. Define and manage end-to-end technical customer experience - from initial evaluation and proof-of-concept through integration, qualification, and production - for Ouster's strategic accounts worldwide. Serve as the senior technical escalation point for critical customer issues, coordinating with Hardware, Firmware, Software, and Quality Engineering to drive rapid, high-quality resolution. Act as a trusted technical advisor to customers' engineering leadership, building deep relationships that turn evaluations into design wins and design wins into long-term partnerships. Partner with Sales and Product Management to shape account strategy, support technical deal cycles, and represent Ouster at customer site visits, trade shows, and industry conferences. Channel voice-of-customer insight back into the product roadmap, working closely with Product Management and Engineering on sensor and software requirements for existing and future solutions. Establish scalable global FAE processes, tools, documentation, and training/certification programs so the team delivers a consistent, high-quality experience regardless of region. Define and report on team KPIs - response time, customer satisfaction, design wins supported, and time-to-resolution - and use them to continuously improve the organization. Recruit, mentor, and develop field application engineers globally, building a bench of technical talent and a clear growth path for the team. BASIC QUALIFICATIONS Bachelor's degree in Electrical Engineering, Mechanical Engineering, Computer Science, Robotics, Physics, or a related technical field (Master's preferred). 10+ years of experience in field applications engineering, systems engineering, or another customer-facing technical role within lidar, sensors, automotive electronics, robotics, or related hardware industries. 5+ years of people leadership experience, including building and managing distributed or global technical teams. Working knowledge of lidar, optical/perception sensing, or related sensor technologies, and the ability to speak fluently to both hardware and software integration challenges. Track record of guiding automotive OEM/Tier 1, robotics, or industrial customers through evaluation, integration, and qualification cycles to production. Excellent written and verbal communication skills, with the ability to engage credibly with customer engineering teams and executives alike. Willingness and ability to travel internationally (approximately 25%-50%). BONUS QUALIFICATIONS Direct experience with lidar or 3D perception systems (point cloud processing, sensor fusion, or similar). Background in the autonomous vehicle, ADAS, or robotaxi ecosystem. Familiarity with embedded systems, SDKs, or software stacks (e.g., ROS) used to integrate sensor data into customer platforms. Experience scaling a global technical support or field applications organization at a hardware or deep-tech startup. Advanced degree (MS or PhD) in a relevant engineering or scientific discipline. Experience working across multiple regions/cultures, with language skills beyond English a plus. The base pay will be dependent on your skills, work experience, location, and qualifications. This role may also be eligible for equity & benefits. ($190,000 - $240,000) 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 Powered by JazzHR 9dMqQe5FtW

Job Description Job Description Why Flux Flux is taking the hard out of hardware. To do this, we're building the world's first AI hardware engineer. Founded in 2019, our platform enables anyone to go from idea to manufacturable board using nothing more than a natural language prompt. This democratizes a process that has historically required years of specialized expertise. We're going after a $15B+ electronic design automation market, backed by 8VC, Bain Capital Ventures, Liquid 2 Ventures, Outsiders Fund, Figma board member John Lilly, and GitHub founder Tom Preston-Werner. In February 2026, we closed a total of $37M in funding to accelerate that mission. What happens when we unlock the ability for anyone to make hardware? We fundamentally reshape the world. That's our mission, and we're just getting started. 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 Flux is an equal opportunity employer. We are committed to providing equal employment opportunities to all qualified individuals and do not discriminate on the basis of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable federal, state, or local law. All employment decisions are based on qualifications, merit, and business need. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Compensation Range: $245K - $270K

Job Description Job Description At Relativity Space, we're building rockets to serve today's needs and tomorrow's breakthroughs. Our Terran R vehicle will deliver customer payloads to orbit, meeting the growing demand for launch capacity. But that's just the start. Achieving commercial success with Terran R will unlock new opportunities to advance science, exploration, and innovation, pioneering progress that reaches beyond the known. Joining Relativity means becoming part of something where autonomy, ownership, and impact exist at every level. Here, you're not just executing tasks; you're solving problems that haven't been solved before, helping develop a rocket, a factory, and a business from the ground up. Whether you're in propulsion, manufacturing, software, avionics, or a corporate function, you'll collaborate across teams, shape decisions, and see your work come to life in record time. Relativity is a place where creativity and technical rigor go hand in hand, and your voice will help define the stories we're writing together. Now is a unique moment in time where it's early enough to leave your mark on the product, the process, and the culture, but far enough along that Terran R is tangible and picking up momentum. The most meaningful work of your career is waiting. Join us. About the Team: The Avionics team is responsible for the full lifecycle of Terran R's nervous system, designing, building, testing, installing, and operating the hardware that connects and controls every major electrical system on the vehicle and ground. The team leverages close partnership between avionics design, manufacturing, and test to enable rapid iteration and feedback loops. Engineers are deeply embedded into other functions within Relativity, working closely with propulsion, GNC, fluids, and stage engineering teams to ensure seamless integration and operation. Now is a unique time to join: you'll get to help shape Terran R's fundamental avionics architecture and be given a high degree of ownership on components that will fly. About the Role: In this role you will be responsible for owning the development, test and integration of GPS-based navigation system avionics used within the Terran R launch vehicle. You will work with cross-functional partner teams across the company, conducting architectural trades, developing acceptance and qualification test plans, while being responsible for critical sensory infrastructure allowing for the landing, recovery, and reuse of the vehicle booster stage. Furthermore, you'll help to provide technical guidance across the vehicle's RF architecture - including telemetry downlinks, command uplinks, and antenna system deployment. You'll mentor hardware engineers on RF design fundamentals, review design analyses, and support architectural trades. This cross-system collaboration ensuring that our RF systems work cohesively from design through operations. About You: Bachelor's degree in Electrical Engineering, Computer Engineering, or a related field 5+ years of experience in electronics designed for harsh environments and mission-critical applications such as launch vehicles, spacecraft, aircraft, or robotics Experience with hardware bring-up, validation, debugging, and data analysis Experience working with highly cross-functional teams (GNC, mechanical, electrical, software, etc.) to develop integrated electronics solutions Deep understanding of RF system fundamentals including: Impedance matching and transmission line theory Link budget analysis and RF propagation effects Antenna theory (gain, beamwidth, polarization, radiation patterns) Nice to haves: In-depth knowledge of GNSS receiver systems including PVT calculation, satellite tracking/acquisition, error sources, and RF front-end architecture Understanding of RF communication systems including modulation schemes (FSK, PSK, OQPSK, SOQPSK), channel coding, and bit error rate analysis Experience in combining data from various navigation sensors (GPS, IMU, magnetometers, altimeters, LiDAR, etc.) to achieve robust and accurate navigation solutions Experience with high-speed serial interfaces (SPI, PCIe, Ethernet, etc.); memory interfaces; design for SoCs, microcontrollers, and microprocessors At Relativity Space, we are committed to transparency and fairness in our compensation practices. Actual compensation will be determined based on experience, qualifications, and other job-related factors. Compensation is only one part of our total rewards package. Relativity Space offers competitive salary and equity, a generous PTO and sick leave policy, parental leave, an annual learning and development stipend, and more! To see some of the benefits & perks we offer, please visit here. Hiring Range: $148,000-$222,000 USD We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need a reasonable accommodation, please contact us at . Please note: Relativity Space does not accept unsolicited resumes, candidate profiles, or referrals from recruitment agencies or search firms. Any unsolicited submission - via email, our website, social media, or directly to an employee - will be deemed the property of Relativity Space, and no fee will be owed absent a current, fully executed agreement with Talent Acquisition that specifically authorizes submissions for the applicable role.

Job Description Job Description At Relativity Space, we're building rockets to serve today's needs and tomorrow's breakthroughs. Our Terran R vehicle will deliver customer payloads to orbit, meeting the growing demand for launch capacity. But that's just the start. Achieving commercial success with Terran R will unlock new opportunities to advance science, exploration, and innovation, pioneering progress that reaches beyond the known. Joining Relativity means becoming part of something where autonomy, ownership, and impact exist at every level. Here, you're not just executing tasks; you're solving problems that haven't been solved before, helping develop a rocket, a factory, and a business from the ground up. Whether you're in propulsion, manufacturing, software, avionics, or a corporate function, you'll collaborate across teams, shape decisions, and see your work come to life in record time. Relativity is a place where creativity and technical rigor go hand in hand, and your voice will help define the stories we're writing together. Now is a unique moment in time where it's early enough to leave your mark on the product, the process, and the culture, but far enough along that Terran R is tangible and picking up momentum. The most meaningful work of your career is waiting. Join us. About the Team: The Avionics team is responsible for the full lifecycle of Terran R's nervous system, designing, building, testing, installing, and operating the hardware that connects and controls every major electrical system on the vehicle and ground. The team leverages close partnership between avionics design, manufacturing, and test to enable rapid iteration and feedback loops. Engineers are deeply embedded into other functions within Relativity, working closely with propulsion, GNC, fluids, and stage engineering teams to ensure seamless integration and operation. Now is a unique time to join: you'll get to help shape Terran R's fundamental avionics architecture and be given a high degree of ownership on components that will fly. About the Role: As an electrical hardware engineer on the Avionics team, you will design, test, and analyze custom electronics on the Terran R launch vehicle. You will oversee hardware development through the entire product lifecycle from concept to flight maturity to include initial design, board bring-up, design verification, qualification, initial flight production, integration, and vehicle operations. You will work with cross-functional partner teams across the company to help the team make the best possible decisions for the overall vehicle. A strong candidate for the role will have a deep technical background in electronics design and sound project management skills to ensure the hardware project is both reliable and on-schedule to support Terran R's launch! About You: Bachelors degree in Electrical Engineering, Computer Engineering, or a related field 5+ years of experience in electronics designed for harsh environments and mission-critical applications such as launch vehicles, spacecraft, aircraft, or robotics Familiarity with eCAD software such as Altium or equivalent Experience with hardware bring-up, validation, debugging, and data analysis Experience with board-level design from concept to manufacturing Experience working with highly cross-functional teams (mechanical, thermal, electrical, software, etc.) to develop integrated electronics solutions Nice to haves but not required: Familiarity with embedded software development and integration for avionics systems Experience with design for reliability and manufacturability of avionics hardware and systems Technical expertise in motor drives and control, DC-DC converters, load switches, high voltage DC electronics Hiring Range and Leveling: Engineer I: $106,000 - $146,500 USD Engineer II: $126,000 - $172,500 USD Senior Engineer: $148,000 - $222,000 USD Leveling and compensation will be finalized after the interview process, based on an evaluation of job-related knowledge and skills, education, and experience. At Relativity Space, we are committed to transparency and fairness in our compensation practices. Actual compensation will be determined based on experience, qualifications, and other job-related factors. Compensation is only one part of our total rewards package. Relativity Space offers competitive salary and equity, a generous PTO and sick leave policy, parental leave, an annual learning and development stipend, and more! To see some of the benefits & perks we offer, please visit here. Hiring Range: $148,000-$222,000 USD We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need a reasonable accommodation, please contact us at . Please note: Relativity Space does not accept unsolicited resumes, candidate profiles, or referrals from recruitment agencies or search firms. Any unsolicited submission - via email, our website, social media, or directly to an employee - will be deemed the property of Relativity Space, and no fee will be owed absent a current, fully executed agreement with Talent Acquisition that specifically authorizes submissions for the applicable role.

Job Description Job Description FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. We're looking for a Senior Product Designer to craft the design voice for our product by creating polished customer interactive experience for a new category of technology. You'll bring a strategic design thinking, strong visual identity and aesthetic sensibility to everything you touch - defining the look, feel, and design language that makes our platform unmistakably FieldAI. Beyond the visual, you'll shape how customers operate their robots and unlock the insights and value that matter to their business. This isn't about a single screen or feature - it's about building a cohesive, intuitive experience for how humans work with autonomous robots at scale. What You'll Get To Do Define and own the visual identity and design language across our customer interactive experience - establishing the aesthetic standard that makes every surface of the product feel premium, intentional, and cohesive Create and maintain a comprehensive design system, including design policies and primitives, visual style guide, design tokens, and documented interaction patterns that scale across the platform. Bring an intuitive sense to how users work with robots across a variety of sites, environments, and use cases - translating complex robotic operations into clear, elegant industrial workflows Design data products that communicate value - helping users not just see the rich data our systems generate, but understand what it means and act on it with confidence Own design ops end-to-end: establish governance, versioning, and contribution processes for the design system to ensure consistency as the product and team grow Collaborate closely with product, marketing, and engineering, teams to bring designs from concept to production - ensuring what ships matches the vision Champion the user through research, feedback, and advocacy - whether they're field operators, site managers, or enterprise decision-makers What You Bring 5+ years of experience in systems design with a strong portfolio demonstrating visual craft and shipped digital products (complex platforms, interactive tools, or multi-layered applications preferred) Proven experience building and maintaining design systems from the ground up - including component libraries, style guides, design tokens, and usage documentation An understanding of Human-Robot Interaction (HRI) - whether through academic study, professional experience, or deep personal curiosity, you appreciate the unique challenges of designing for systems where humans and robots collaborate Expertise in Figma as your primary design tool Strong data visualization skills - the ability to make complex information clear, useful, and beautiful Systems thinking - you can craft a single interaction and understand how it fits into a broader platform and design language Excellent written and verbal communication skills - you can articulate design decisions, give and receive feedback gracefully, and collaborate across disciplines What Will Set You Apart Experience designing for robotics, autonomous systems, IoT, or other hardware-software products Background in platform-level UX where information architecture, navigation patterns, and scalability are as important as any individual screen Familiarity with real-time data interfaces, mapping, or geospatial UX Experience designing for multi-site or multi-environment use cases Comfort with prototyping interactions and micro-animations Track record of establishing design culture and evangelizing design system adoption across engineering teams Our salary range is generous and we consider each individual's background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine? In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics' hardest challenges: reliable deployment outside the lab. Our Field Foundational Models raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use. You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. Be Part of the Next Robotics Revolution We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description At Relativity Space, we're building rockets to serve today's needs and tomorrow's breakthroughs. Our Terran R vehicle will deliver customer payloads to orbit, meeting the growing demand for launch capacity. But that's just the start. Achieving commercial success with Terran R will unlock new opportunities to advance science, exploration, and innovation, pioneering progress that reaches beyond the known. Joining Relativity means becoming part of something where autonomy, ownership, and impact exist at every level. Here, you're not just executing tasks; you're solving problems that haven't been solved before, helping develop a rocket, a factory, and a business from the ground up. Whether you're in propulsion, manufacturing, software, avionics, or a corporate function, you'll collaborate across teams, shape decisions, and see your work come to life in record time. Relativity is a place where creativity and technical rigor go hand in hand, and your voice will help define the stories we're writing together. Now is a unique moment in time where it's early enough to leave your mark on the product, the process, and the culture, but far enough along that Terran R is tangible and picking up momentum. The most meaningful work of your career is waiting. Join us. About the Team: The Avionics team is responsible for the full lifecycle of Terran R's nervous system, designing, building, testing, installing, and operating the hardware that connects and controls every major electrical system on the vehicle and ground. The team leverages close partnership between avionics design, manufacturing, and test to enable rapid iteration and feedback loops. Engineers are deeply embedded into other functions within Relativity, working closely with propulsion, GNC, fluids, and stage engineering teams to ensure seamless integration and operation. Now is a unique time to join: you'll get to help shape Terran R's fundamental avionics architecture and be given a high degree of ownership on components that will fly. About the Role: As a Digital Hardware Engineer on the Avionics team, you will design, test, and analyze custom high-speed electronics on the Terran R launch vehicle. You will oversee hardware development through the entire product lifecycle from concept to flight maturity to include initial design, board bring-up, design verification, qualification, initial flight production, integration, and vehicle operations. You will work with cross-functional partner teams across the company to help the team make the best possible decisions for the overall vehicle. A strong candidate for the role will have a deep technical background in electronics design and sound project management skills to ensure the hardware project is both reliable and on-schedule to support Terran R's launch! About You: Bachelors degree in Electrical Engineering, Computer Engineering, or a related field 5+ years of experience in electronics designed for harsh environments and mission-critical applications such as launch vehicles, spacecraft, aircraft, or robotics Technical expertise in high speed serial interfaces (SPI, PCIe, Ethernet, etc.); memory interfaces; design for SoCs, microcontrollers, and microprocessors Experience with eCAD software such as Altium or equivalent Experience with hardware bring-up, validation, debugging, and data analysis Experience with board-level design from concept to manufacturing Experience working with highly cross-functional teams (mechanical, thermal, electrical, software, etc.) to develop integrated electronics solutions Nice to haves but not required: Familiarity with embedded software development and integration for avionics systems Experience with design for reliability and manufacturability of avionics hardware and systems At Relativity Space, we are committed to transparency and fairness in our compensation practices. Actual compensation will be determined based on experience, qualifications, and other job-related factors. Compensation is only one part of our total rewards package. Relativity Space offers competitive salary and equity, a generous PTO and sick leave policy, parental leave, an annual learning and development stipend, and more! To see some of the benefits & perks we offer, please visit here. Hiring Range: $148,000-$222,000 USD We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need a reasonable accommodation, please contact us at . Please note: Relativity Space does not accept unsolicited resumes, candidate profiles, or referrals from recruitment agencies or search firms. Any unsolicited submission - via email, our website, social media, or directly to an employee - will be deemed the property of Relativity Space, and no fee will be owed absent a current, fully executed agreement with Talent Acquisition that specifically authorizes submissions for the applicable role.

Job Description Job Description FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. About Us Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Reality Capture & Sensor Payload Engineer In this role on the Hardware Team at Field AI, you will deliver the sensor modules that turn our robots into data-collection platforms for customers. This spans sensor selection, calibration, electro-mechanical integration, validation, and the data pipelines that carry sensor output from capture through processing. Examples of sensor modules include high-resolution LiDAR scanners, PTZ and thermal cameras, depth cameras, GNSS/RTK, and gas detection sensors. Candidates should be familiar with concepts and workflows such as laser scanning, photogrammetry, digital twins, BIM, and deviation and change analysis. You will collaborate with the product team to select the right sensor for customers from hard industries such as construction and manufacturing. You will work closely with mechanical and electrical engineers to integrate each sensor into swappable modules on our robotic platform. You will own sensor performance such as calibration and time sync. As well as validate results through vibration and shock testing, point cloud evaluation, and other data quality checks. You may also lead the development of new custom reality capture sensors such as multicamera systems. What You Will Get To Do 1. Sensor Selection & Cross-Team Coordination Sensor Selection & Evaluation: Evaluate and select sensors for reality capture and mapping, such as LiDAR, depth cameras, GNSS/RTK, and PTZ/thermal cameras, based on accuracy, range, and point density. Insights & Customer Alignment: Partner with Product and engage directly with customers across construction, manufacturing, and other industries, to reconcile ideal data requirements with physical constraints. Custom Systems: Propose custom sensor solutions when needed, assessing whether COTS (commercial off-the-shelf) choices are truly optimal or whether custom LiDAR or multi-camera systems perform better. 2. Module Hardware Design Calibration & Time Sync: Own multi-sensor calibration, including intrinsics, extrinsics, boresight alignment, and timing (PTP, PPS) across custom LiDAR and multi-camera systems. Mechanical & Electrical Integration: Work with the mechanical and electrical teams to design the integration unit that mounts sensors onto the robot in a plug-and-play way, within SWaP-C constraints. Ruggedization: Own mounting and enclosure design, including IP ratings and ruggedization, so modules hold up in harsh field conditions. 3. Data Processing & Validation Data Pipelines: Build and maintain data pipelines that turn sensor captures into registered, georeferenced point clouds and photogrammetric reconstructions for the Insights team. Testing & Validation: Test sensor performance, calibration accuracy, and point cloud repeatability under real-world conditions, vibration, shock, and lighting, before deployment. Production Quality: Support incoming quality checks and production consistency for ruggedized sensor modules as they scale across multiple robots. 4. Ownership & Leadership Systems-Level Optimization: Act as the systems-level owner who prevents siloed, locally-optimized solutions, finding the truly optimal fix across domains. Cross-Disciplinary Coordination: Serve as the connective point between Autonomy, Insights, Mechanical, and Electrical, keeping sensor payload decisions aligned across the organization. Team Leadership & Roadmap: Oversee and mentor junior mechanical and electrical engineers, and contribute to sensor and hardware roadmap and vendor strategy. What You Have Education: B.S., M.S., or Ph.D. in Mechanical Engineering, Electrical Engineering, Robotics, or a related field. Experience Level: We're targeting 9+ years of experience for a senior to staff-level role, though we may consider more junior candidates with the right profile. Cross-Domain Engineering: Strong foundation across mechanical design, electrical design, and sensor hardware, with the breadth to work across all three. Data & Signal Processing Fluency: Working knowledge of point cloud and signal processing sufficient to evaluate software-based solutions to hardware problems. Systems-Level Optimization: Demonstrated ability to work across engineering domains and drive system-level, not just component-level, optimization. Sensor Knowledge: Deep familiarity with the sensor and geospatial-intelligence landscape, including LiDAR, cameras, thermal imaging, and gas detection. Mechatronics & Integration: Experience with electromechanical integration, mounting, enclosures, IP ratings, and connectors for ruggedized sensor payloads. Cross Functional Communication: Strong communicator able to arbitrate between teams that each see only their own piece of the solution space. Leadership: Experience managing or mentoring junior engineers on detailed design execution. What Will Set You Apart Sensor Depth: Direct experience with sensors such as LiDAR, gas detection, thermal imaging, or PTZ camera systems. Field Robotics: Experience working with field robots subject to vibration, shock, or harsh environmental conditions such as construction or industrial sites. Mapping & Reality Capture: Familiarity with point cloud registration, photogrammetry and reconstruction, digital twin and BIM workflows, and deviation or change detection for environment mapping. Reality Capture Ecosystem: Familiarity with laser scanning hardware (FARO, Leica, Trimble) and reality-capture software platforms, applied to building or infrastructure inspection, construction verification, and asset management. Industry Exposure: Experience in construction, manufacturing, industrial, mining, or oil and gas environments, including hazardous-area (ATEX, IECEx, Class I Div 1/2) considerations. Research to Production: Experience taking sensor or perception work from research and algorithm development through to production deployment. Compensation The salary range for this role is $150,000-$250,000. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time. Field AI Onsite Work Philosophy At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Irvine, CA office. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance. Why Join Field AI? We are solving one of the world's most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment. You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics Revolution To tackle such ambitious challenges, we need a team as unique as our vision - innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators. We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. Join us, shape the future, and be part of a fun . click apply for full job details

Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Special Projects team at Shield AI is an elite force within the office of the CTO. It consists of a group of very senior (L5-L8) and highly experienced software engineering experts from diverse fields (aerospace, robotics, cloud infrastructure, game development, interactive media design, ). The charter of this group is to steer technology development towards strategic alignment with the CTO's vision, through tactical insertion into teams and technologies across the organization. Individuals within this team make direct and at times forward-sprinting contributions to all three pillars of Hivemind, Shield AI's software ecosystem for developing and deploying resilient intelligent teaming for aircrafts. Hivemind consists of four products: EdgeOS (C++ based high-performance middleware for autonomy development), Pilot (autonomy for the edge built atop EdgeOS; a models-based, modular and open architecture C++ codebase), Forge (Shield AI's AI Factory for the design, development, and testing of Hivemind Edge systems; a service-oriented architecture leveraged through an SDK, CLI, and web portal; a Go, Python, Typescript codebase), Commander (Software and hardware to support rich human-in-the-loop and human-on-the-loop interactions with the Hivemind; a C++-based back-end for interaction with Pilot; and a web-application UI for mission planning, command and control by operators implemented in a Typescript/React codebase). The Special Projects team is chartered to operate effectively within ambiguity. While this team does not own any software products, it tactically and strategically impacts the development of all foundational Hivemind products and leverages those technologies to rapidly deliver low-TRL solutions. This work happens shoulder-to-shoulder with the product teams in some cases, and in a forward-sprinting manner within the Special Projects team in other cases. The result is direct contribution to products in the former case, and development of reference implementations in the latter. The Special Projects team also functions as a pipeline for product and solution engineering teams across the organization. Individuals who enter the Special Projects team rapidly gain depth and breadth in their understanding of the Hivemind software ecosystem. This positions them well for leading technology development effort across the product and solution organization. What you'll do: Design and build the user experience for agentic AI products across the office of the CTO: an enterprise knowledge assistant (Brain), an agent-driven engineering platform (Springboard), and enterprise AI/data applications. Prototype in code. Ship working React/TypeScript implementations, not mockups - then land them in production with the product teams. Design the core interaction patterns of agentic software: streaming responses, citations and provenance, multi-modal input, artifact sharing, and human-in-the-loop review and approval surfaces. Design interfaces for foundation-model based autonomy architectures and model lifecycle tooling: evaluation dashboards, trace inspection, observability, and verification surfaces. Conduct user research across engineers, operators, and executives; define personae and translate findings into design decisions. Investigate competing agentic and enterprise AI products; synthesize findings for engineering and product leadership. Establish reusable design patterns and a component vocabulary for AI applications across the organization. Drive adoption: instrument what you ship, watch real usage, and iterate daily. Required qualifications: 12+ years designing and building production software interfaces, with end-to-end ownership from research through shipped product. Expert-level React/TypeScript; you write production-quality front-end code, not just prototypes. Portfolio of shipped tools or applications demonstrating strong interaction design and visual craft. Hands-on experience designing LLM-powered experiences: streaming, progressive rendering, loading states, context and conversation management. Deep knowledge of client and UI state management, the DOM, browser APIs, WebSockets, and Server-Sent Events. Experience running user research and usability testing, and acting on the results. Strong software hygiene: Git, code review, testing, CI/CD. Fluid intelligence that allows one to operate effectively in ambiguous conditions while finding opportunities to drive technical efforts and force multiply. Experience with Linux, Docker, and a major cloud platform (Azure, GCP, AWS). This role requires travel to a Shield AI location 1-3 times per quarter Preferred qualifications: Experience designing developer tools, IDEs, or engineering workflow products. Data visualization experience (D3, WebGL, dashboards); geospatial a plus. Experience building or maintaining a design system. Experience designing debugging/inspection UIs for generative AI systems. Experience with Electron (or similar). Experience with user experience design for video games or interactive media. Experience designing for "low code" or "no code" systems. Comfort reading C++ and/or Python and/or Go. Senior staff: $190,000-$290,000 Principal: $230,000-$340,000 Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description 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. Overview : Bachelor's degree in Electrical Engineering, Electronics Engineering, Mechatronics Engineering, or related field. Minimum 7+ years of experience in automotive embedded hardware development and electronic product design environments. This position is focused on the design, development, validation, and launch of embedded electronic hardware supporting automotive seating, comfort, actuator, motor, and interior system applications. The engineer will lead hardware development activities from requirements analysis and hardware architecture through schematic design, PCB development, validation, and production launch. This is a hands-on engineering position requiring active involvement in product design activities, not solely testing or validation support. The role will work closely with Systems, Software, Mechanical, Validation, Manufacturing, and Customer teams to deliver reliable automotive products that meet customer, quality, timing, and cost objectives. This position requires strong technical ownership, excellent communication skills, automotive development experience, and the ability to support programs throughout the complete product lifecycle. Full-time onsite presence is required. Key Responsibilities : Requirements Analysis & Traceability Analyze customer and system requirements using ALM tools such as Codebeamer Translate requirements into hardware architecture, design solutions, verification, and validation criteria Support requirements traceability throughout the development lifecycle Participate in requirements reviews and technical discussions Electronic Hardware Design & Development Design and develop automotive embedded electronic hardware solutions Create and review schematics, component selection, circuit design, and PCB development activities Support hardware architecture development and design reviews Contribute to prototype development and product maturation activities Support component, symbol, and footprint library management activities Engineering Analysis, Validation & Compliance Perform engineering analysis including WCCA, thermal analysis, electrical simulations, and EMC considerations Support verification and validation activities throughout product development Troubleshoot hardware issues and support root cause investigations Ensure compliance with automotive, customer, and regulatory requirements Automotive Product Development & Launch Support Support programs from concept through production launch Participate in customer reviews and program milestone activities Support OEM and Tier 1 product development requirements Ensure hardware solutions meet quality, performance, reliability, and timing objectives Technical Leadership & Cross-Functional Collaboration Provide technical leadership and guidance to hardware team members Collaborate with Systems, Software, Mechanical, Quality, Validation, and Manufacturing teams Clearly communicate technical concepts, risks, and recommendations Actively participate in customer-facing technical discussions Design for Excellence (DFX) Apply DFM, DFA, DFC, DFT, and DFR principles throughout development Ensure products are designed for manufacturability, reliability, quality, and cost efficiency Profile: Hands-on Hardware Design Engineer with strong automotive electronics experience Strong ownership mindset and ability to independently drive technical activities Clear and effective communicator capable of presenting technical information to customers and internal stakeholders Comfortable working in highly collaborative, cross-functional environments Strong problem-solving and troubleshooting skills Customer-focused engineer capable of balancing technical requirements and business objectives Able to provide technical leadership while remaining actively involved in product design Must Have: 7+ years of automotive embedded hardware development experience Strong experience with schematic design and electronic hardware development Experience supporting PCB layout and hardware design activities Experience with WCCA, engineering calculations, and hardware simulations Experience designing for EMC and supporting EMC validation activities Experience with CAN and LIN communication integration Experience supporting automotive OEM or Tier 1 development programs Experience with requirements management and requirements traceability Strong communication, presentation, and technical leadership skills Bachelor's degree in Electrical, Electronics, or Mechatronics Engineering Good to Have: Codebeamer experience DOORS or Polarion experience Cadence tool suite experience APQP knowledge ISO 26262 Functional Safety experience ASPICE knowledge Seating systems experience Interior electronics experience Mechatronic systems experience Actuator or motor control systems experience All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, genetic information, or pregnancy. 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.

Job Description Job Description As a Field Application Engineer II (FAE II) at LMI Technologies, you will be a senior technical expert, solution architect, and customer advocate in the factory automation and 3D machine vision space. Based out of our Royal Oak facility, you will champion LMI's industry-leading 3D smart sensor products, leading complex integrations, solving high-level technical challenges, and ensuring seamless deployment across key customer environments . This role demands an experienced mechatronics or automation professional with strong engineering depth, proven customer-facing experience, and a passion for solving real-world inspection problems on the factory floor . You will act as a core technical bridge between customers, sales account managers, and internal R&D teams . Advanced Sample Testing & Feasibility: Evaluate challenging customer parts and applications using LMI's 3D sensors, generating high-precision feasibility reports and optics/sensor configuration recommendations. System Integration & On-Site Support: Support robot and PLC integrations (Allen-Bradley, Siemens) and configure industrial fieldbus communications (EtherNet/IP, PROFINET, Modbus TCP) at customer manufacturing facilities. Lab Validation & R&D Escalation: Reproduce and debug complex customer hardware, software, or optical issues in the lab environment to provide structured root-cause feedback to R&D and engineering product teams. Technical Demos & Training: Deliver technical product demonstrations, hands-on workshops, and advanced system training for existing customers, system integrators, and internal sales teams. Custom Automation & Scripting: Develop custom scripts and software tools (Python, C#, C++, LabVIEW) for application testing, evaluation, demonstration setups, and tailored customer integration workflows. Tradeshows & Technical Marketing: Build interactive, engaging product demonstration setups for major industry trade shows, customer workshops, and application notes/knowledge base articles. Voice of Customer & Product Mastery: Continuously build deep expertise in LMI's 3D sensor portfolio while gathering and synthesizing field feedback to drive future product enhancements. Peer Mentorship: Provide technical guidance, onboarding support, and knowledge sharing to junior application engineers and technical support team members. Education and Qualifications Bachelor of Science in Computer Engineering, Electrical Engineering, Mechanical Engineering, Computer Science, Mechatronics, or equivalent from an accredited university. Minimum 5 years of experience in the high-technology, factory automation, robotics, or machine vision industry. Minimum 3 years of direct customer-facing technical support, field application engineering, or client-facing project execution experience. Core Technical Aptitude: Machine Vision & Automation: Proven experience with 3D or 2D machine vision inspection, optical sensors, industrial robotics, or PLC integration. Software Scripting: Proficient with one or more programming environments including Python, C#, C++, Visual Studio, LabVIEW, or ladder logic / PLC programming. 3D CAD Design: Hands-on experience with Autodesk Fusion, SolidWorks, or equivalent 3D CAD modeling software. Electrical & Hardware Setup: Practical skill in basic electrical design, wiring schematics, component assembly, and hardware diagnostic troubleshooting. Mobility & Logistics: Valid passport and willingness/ability to travel domestically and occasionally internationally up to 20-30% of the time. Soft Skills: Exceptional verbal, written, and technical presentation skills. High self-motivation, critical problem-solving skills, and a strong sense of personal accountability ("hustler" mindset) to thrive in an autonomous environment without micromanagement. Demonstrated ability to manage customer expectations under high-pressure plant conditions. Our Recruitment Process While we appreciate your interest in LMI Technologies very much, we may only be able to respond to candidates selected for further consideration. We believe in a transparent and collaborative hiring journey. Our goal is to ensure you are as excited about us as we are about you. Below is the typical path (can vary by position): Talent Discovery (Human Resources): An initial screening call focused on your professional background, language and communication proficiency, and cultural alignment with the team as well as overview of role and company. Technical Assessment (if required). Role Fit (Hiring Manager): A deep dive into your experience, knowledge and skills as well as sharing of role expectations and team initiatives: 1st Round: General background and foundational knowledge in areas such as mathematics, image processing, and programming. 2nd Round: Problem solving skills and ability to apply knowledge to practical challenges. Cultural & Peer Alignment (Hiring Team & Stakeholders): A collaborative session with prospective colleagues and cross-functional partners to explore technical synergy, shared experiences, and the professional landscape at LMI Technologies. We assure you, once you complete your application, your information is safe with us. To learn more about how we use your personal data, please review our Privacy Policy ( -policy). Powered by JazzHR wjC8t2znLQ

Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Head of Product Design will define and lead the user experience vision for Hivemind, Shield AI's autonomy development platform. This role is responsible for transforming complex autonomy, robotics, AI, and developer workflows into intuitive experiences that enable engineers, operators, and organizations to develop and deploy resilient autonomy at scale. A major focus of this role will be shaping the next generation of AI-native and agent-driven workflows across the autonomy lifecycle. As Hivemind evolves from traditional software tooling toward AI-assisted autonomy development, simulation, evaluation, deployment, and operations, this leader will help invent entirely new ways for users to collaborate with AI systems, agents, and foundation-model-powered tools. The ideal candidate has deep experience designing AI products, developer platforms, or complex technical systems and can translate emerging AI capabilities into workflows that dramatically improve user productivity and outcomes. This is a highly hands-on role as this leader will manage a team of elite designers. During the first 6-12 months, most of the time will be spent conducting user research, designing experiences, prototyping concepts, facilitating product discovery, and partnering directly with Product and Engineering teams to define the future of autonomy development. What you'll do:User Research & Product Discovery Lead customer research efforts across product development, customer engagement, and solutions teams to identify pain points, workflows, unmet needs, and product opportunities. Establish scalable mechanisms for gathering, synthesizing, and communicating user insights throughout the product development lifecycle. Translate customer and operational feedback into actionable product recommendations, requirements, and design initiatives. Product Design & User Experience Design end-to-end workflows across autonomy development, simulation, testing, analysis, deployment, and operations. Create intuitive experiences for highly technical users including autonomy engineers, software developers, operators, and mission planners. Simplify complex system architectures, data flows, infrastructure tooling, and AI workflows into understandable user experiences. Own the end-to-end experience of the product including training, documentation, tutorials, and overall workflows - help our users get the most of the product. Strategic Product Leadership Partner closely with Product Managers to shape product vision, roadmap priorities, and go-to-market strategies. Drive alignment across Product, Engineering, Design, and Executive Leadership through compelling narratives, prototypes, and visual storytelling. Advocate for user-centered decision making in a highly technical and engineering-driven environment. Design Practice, Systems & Organizational Scale Establish and evolve design standards, design systems, UX principles, and product design best practices across Shield AI. Raise the quality bar for product design, usability, consistency, and customer experience. Grow the product design function by mentoring a small team of designers, shaping design culture, and staying actively involved in critical design work. Champion design wins and impact across the organization, highlighting the important role design plays in delivering successful products. AI-Native Product Design & Agentic Workflows Define the future user experience for AI-assisted autonomy development, simulation, testing, deployment, and operational workflows. Design human-AI collaboration models that enable users to effectively leverage AI agents, copilots, and foundation-model-powered systems. Partner with Product, AI Research, and Engineering teams to create new interaction patterns for agent orchestration, autonomy generation, scenario creation, test generation, and mission planning. Develop frameworks for trust, transparency, explainability, and human oversight within AI-assisted workflows. Help establish industry-leading design patterns for Physical AI development platforms and agent-driven software systems. Required qualifications: 10+ years of experience in Product Design, UX Design, Human Factors, or related fields. Proven track record designing and shipping complex technical products, developer tools, platforms, infrastructure software, data-dense applications, or enterprise systems. Deep technical fluency and ability to effectively collaborate with senior engineering leaders on architecture, technical constraints, and software development workflows. Strong experience conducting user research and translating insights into product strategy and design solutions. Proven ability to influence product direction and organizational decisions without direct authority. Strong understanding of AI-powered product experiences, including conversational interfaces, human-in-the-loop workflows, AI-assisted decision making, and agent-based systems. Experience defining new user experiences in ambiguous technology spaces where industry standards and workflows are still emerging. Experience building and retaining high-performing design teams. Strong portfolio showcasing both strategic thinking and hands-on design execution. Preferred qualifications: Background designing developer platforms, SDKs, cloud infrastructure products, DevOps tooling, or engineering productivity tools. Direct work on AI/ML platforms, MLOps workflows, foundation-model-enabled products, copilots, or agentic systems. Familiarity with autonomy, robotics, simulation, digital twins, mission systems, physical AI, or related development workflows including testing, evaluation, deployment, and operations. Portfolio examples involving command-and-control systems, mission-planning interfaces, operational dashboards, or real-time decision-support tools. Ability to design across integrated hardware/software systems. Domain exposure to defense technology, aerospace, robotics, or other regulated, mission-critical, or high-consequence operational environments. San Diego, CA and Washington, D.C. pay range: $230,000 - $350,000 San Mateo, CA pay range: $280,000 - $420,000 Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Operations is at the heart of Amazon's business. We are known for our speed, accuracy, and exceptional service. Our buildings deliver tens of thousands of products to hundreds of countries worldwide, every day. The Reliability & Maintenance Engineering (RME) team are the business partners that work tirelessly behind the scenes to make it happen. We drive continuous improvement, and maintain all the robotics and material handling equipment (MHE) to ensure our customers are met with the Amazon smile. Come join us on our journey! About the Role: As a Senior Automation Engineer, you will play a crucial role in maximizing equipment reliability and operational performance in our fulfillment centers by providing proactive controls automation and technical support. Your expertise will be essential in troubleshooting complex control systems, analyzing performance metrics, and driving continuous improvement initiatives. You'll mentor junior engineers and lead cross-functional teams to optimize material handling equipment (MHE) systems, implement innovative projects, and develop system design improvements to enhance site throughput. You'll work with state-of-the-art technology, including conveyors, sortation systems, scanners, cameras, print and apply systems, and SCADA devices and programs. Through your technical leadership and design optimization efforts, you'll directly contribute to ensuring our customers receive their orders with Amazon's signature speed and accuracy while building team capabilities and driving operational excellence. What Do We Offer? Amazon offers competitive compensation packages including comprehensive healthcare benefits starting on Day 1, matching 401(k) program, and up to 20 weeks of paid parental leave. But wait, there's more: We provide lightweight fire-resistant daily wear and composite toe safety shoes for your safety! Key job responsibilities Key job responsibilities include, but are not limited to: - You will apply Subject Matter Expertise (SME) on troubleshooting and dive deeps for engineering issues, supporting automation engineers to investigate the root cause and planning actions to eliminate/mitigate the downtime of critical assets - You will collaborate with building Operations, Operations Engineering teams, FC Start-up Team, AFT Software teams, ACES team, and Safety to support MHE systems optimization and project implementation - You will understand, maintain and troubleshoot material handling control systems, including PLC/PC controllers and industrial networks such as Ethernet, ControlNet, DeviceNet, Profibus, motor control systems, servo drives, frequency drives, and electrical distribution systems - You will monitor MHE metrics and partner with maintenance/operations to address system performance issues and provide analysis across all operations - You will provide escalation support to automation engineers, during and after business hours, troubleshooting locally and remotely, to ensure that all hardware or controls software within the building is repaired on time - You must be able to move up to 49lbs, stand and walk during shifts lasting up to 12 hours, climb ladders and gangways safely and without limitation, as well as perform regular bending, lifting, stretching, and reaching both below the waist and above the head BASIC QUALIFICATIONS - Bachelor's degree in computer science, electrical engineering, automation engineering, or equivalent, or 4+ years of PLC programming or automation engineering experience - Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays - 4+ years of process or production environment related PLC-controlled automation and issue diagnosis experience - 4+ years of robotics work cells and control systems experience - 4+ years of Siemens, Allen-Bradley or Codesys Ladder Logic and structure programming experience - 4+ years of electrical theory, robotics, controls components, and automated equipment experience PREFERRED QUALIFICATIONS - Master's degree in computer science, electrical engineering, automation engineering, or equivalent - Master's degree, or Six Sigma Black Belt certification - Experience leading controls in manufacturing or complex industrial environments - Experience identifying, maintaining, troubleshooting, and modifying Motor Controls including motor starters, Variable Frequency Drives, DC drives, and standard electrical components - Experience interpreting and modifying mechanical and electrical drawings Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, LA, Baton Rouge - 114 200.00 USD annually

Operations is at the heart of Amazon's business. We are known for our speed, accuracy, and exceptional service. Our buildings deliver tens of thousands of products to hundreds of countries worldwide, every day. The Reliability & Maintenance Engineering (RME) team are the business partners that work tirelessly behind the scenes to make it happen. We drive continuous improvement, and maintain all the robotics and material handling equipment (MHE) to ensure our customers are met with the Amazon smile. Come join us on our journey! About the Role: As a Senior Automation Engineer, you will play a crucial role in maximizing equipment reliability and operational performance in our fulfillment centers by providing proactive controls automation and technical support. Your expertise will be essential in troubleshooting complex control systems, analyzing performance metrics, and driving continuous improvement initiatives. You'll mentor junior engineers and lead cross-functional teams to optimize material handling equipment (MHE) systems, implement innovative projects, and develop system design improvements to enhance site throughput. You'll work with state-of-the-art technology, including conveyors, sortation systems, scanners, cameras, print and apply systems, and SCADA devices and programs. Through your technical leadership and design optimization efforts, you'll directly contribute to ensuring our customers receive their orders with Amazon's signature speed and accuracy while building team capabilities and driving operational excellence. What Do We Offer? Amazon offers competitive compensation packages including comprehensive healthcare benefits starting on Day 1, matching 401(k) program, and up to 20 weeks of paid parental leave. But wait, there's more: We provide lightweight fire-resistant daily wear and composite toe safety shoes for your safety! Key job responsibilities Key job responsibilities include, but are not limited to: - You will apply Subject Matter Expertise (SME) on troubleshooting and dive deeps for engineering issues, supporting automation engineers to investigate the root cause and planning actions to eliminate/mitigate the downtime of critical assets - You will collaborate with building Operations, Operations Engineering teams, FC Start-up Team, AFT Software teams, ACES team, and Safety to support MHE systems optimization and project implementation - You will understand, maintain and troubleshoot material handling control systems, including PLC/PC controllers and industrial networks such as Ethernet, ControlNet, DeviceNet, Profibus, motor control systems, servo drives, frequency drives, and electrical distribution systems - You will monitor MHE metrics and partner with maintenance/operations to address system performance issues and provide analysis across all operations - You will provide escalation support to automation engineers, during and after business hours, troubleshooting locally and remotely, to ensure that all hardware or controls software within the building is repaired on time - You must be able to move up to 49lbs, stand and walk during shifts lasting up to 12 hours, climb ladders and gangways safely and without limitation, as well as perform regular bending, lifting, stretching, and reaching both below the waist and above the head BASIC QUALIFICATIONS - Bachelor's degree in computer science, electrical engineering, automation engineering, or equivalent, or 4+ years of PLC programming or automation engineering experience - Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays - 4+ years of process or production environment related PLC-controlled automation and issue diagnosis experience - 4+ years of robotics work cells and control systems experience - 4+ years of Siemens, Allen-Bradley or Codesys Ladder Logic and structure programming experience - 4+ years of electrical theory, robotics, controls components, and automated equipment experience PREFERRED QUALIFICATIONS - Master's degree in computer science, electrical engineering, automation engineering, or equivalent - Master's degree, or Six Sigma Black Belt certification - Experience leading controls in manufacturing or complex industrial environments - Experience identifying, maintaining, troubleshooting, and modifying Motor Controls including motor starters, Variable Frequency Drives, DC drives, and standard electrical components - Experience interpreting and modifying mechanical and electrical drawings Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, FL, Tallahassee - 114 200.00 USD annually

Operations is at the heart of Amazon's business. We are known for our speed, accuracy, and exceptional service. Our buildings deliver tens of thousands of products to hundreds of countries worldwide, every day. The Reliability & Maintenance Engineering (RME) team are the business partners that work tirelessly behind the scenes to make it happen. We drive continuous improvement, and maintain all the robotics and material handling equipment (MHE) to ensure our customers are met with the Amazon smile. Come join us on our journey! About the Role: As a Senior Automation Engineer, you will play a crucial role in maximizing equipment reliability and operational performance in our fulfillment centers by providing proactive controls automation and technical support. Your expertise will be essential in troubleshooting complex control systems, analyzing performance metrics, and driving continuous improvement initiatives. You'll mentor junior engineers and lead cross-functional teams to optimize material handling equipment (MHE) systems, implement innovative projects, and develop system design improvements to enhance site throughput. You'll work with state-of-the-art technology, including conveyors, sortation systems, scanners, cameras, print and apply systems, and SCADA devices and programs. Through your technical leadership and design optimization efforts, you'll directly contribute to ensuring our customers receive their orders with Amazon's signature speed and accuracy while building team capabilities and driving operational excellence. What Do We Offer? Amazon offers competitive compensation packages including comprehensive healthcare benefits starting on Day 1, matching 401(k) program, and up to 20 weeks of paid parental leave. But wait, there's more: We provide lightweight fire-resistant daily wear and composite toe safety shoes for your safety! Key job responsibilities Key job responsibilities include, but are not limited to: - You will apply Subject Matter Expertise (SME) on troubleshooting and dive deeps for engineering issues, supporting automation engineers to investigate the root cause and planning actions to eliminate/mitigate the downtime of critical assets - You will collaborate with building Operations, Operations Engineering teams, FC Start-up Team, AFT Software teams, ACES team, and Safety to support MHE systems optimization and project implementation - You will understand, maintain and troubleshoot material handling control systems, including PLC/PC controllers and industrial networks such as Ethernet, ControlNet, DeviceNet, Profibus, motor control systems, servo drives, frequency drives, and electrical distribution systems - You will monitor MHE metrics and partner with maintenance/operations to address system performance issues and provide analysis across all operations - You will provide escalation support to automation engineers, during and after business hours, troubleshooting locally and remotely, to ensure that all hardware or controls software within the building is repaired on time - You must be able to move up to 49lbs, stand and walk during shifts lasting up to 12 hours, climb ladders and gangways safely and without limitation, as well as perform regular bending, lifting, stretching, and reaching both below the waist and above the head BASIC QUALIFICATIONS - Bachelor's degree in computer science, electrical engineering, automation engineering, or equivalent, or 4+ years of PLC programming or automation engineering experience - Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays - 4+ years of process or production environment related PLC-controlled automation and issue diagnosis experience - 4+ years of robotics work cells and control systems experience - 4+ years of Siemens, Allen-Bradley or Codesys Ladder Logic and structure programming experience - 4+ years of electrical theory, robotics, controls components, and automated equipment experience PREFERRED QUALIFICATIONS - Master's degree in computer science, electrical engineering, automation engineering, or equivalent - Master's degree, or Six Sigma Black Belt certification - Experience leading controls in manufacturing or complex industrial environments - Experience identifying, maintaining, troubleshooting, and modifying Motor Controls including motor starters, Variable Frequency Drives, DC drives, and standard electrical components - Experience interpreting and modifying mechanical and electrical drawings Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Tracy - 114 200.00 USD annually