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Job Description Job Description At Zoox, the release teams handle the complex orchestration of releases spanning vehicle, cloud, and client code bases. From first commit to full production, our mission is to make every release predictable, transparent, and fast. We build the tooling and automation that improves the release lifecycle for our own teams and for teams across Zoox. We are seeking a technical expert in version control, continuous integration, and build systems who is equally comfortable driving a release end to end and engineering the systems that streamline it. You will work closely with our customers, from the teams whose components we release to the downstream consumers of each build, translating their needs into a better release experience and serving as a force multiplier within our team and beyond. In this role, you will: Own the end-to-end release process for a portfolio of vehicle software components, from branch cut through validation, hotfixes, and deployment to production Coordinate release readiness across integration, QA, and component teams, tracking readiness indicators and securing the approvals that confirm each release is production-ready Build and scale automation that removes manual release work, from branch management and merge workflows to release visibility and metrics Partner closely with our customers, the teams whose components we release and the downstream consumers of each build, turning their needs into process improvements Multiply the impact of release teams across Zoox by turning what works into shared tooling and practices, accelerating how quickly software reaches the fleet Qualifications: 3-5 years of experience in release engineering, build engineering, or release management for large, complex software products Bachelor's or Master's degree in engineering or computer science, or equivalent experience Proficiency with Git, including branch management and conflict resolution Experience building and operating CI/CD pipelines with tools such as Buildkite, Jenkins, or Bamboo Programming experience in Python or another scripting language, including automating release or build workflows Excellent communication skills and ability to quickly adapt to changes Bonus Qualifications: Experience with Bazel Experience releasing embedded, firmware, or safety-critical software Familiarity with cloud platforms such as AWS or Azure Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. 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 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: Shield AI builds intelligent systems that protect service members and civilians. Our products include Hivemind autonomy software and V-BAT and X-BAT aircraft, and our teams support customers and operations across the United States, Europe, the Middle East, and Asia-Pacific. The Forward Deployed Engineer, Operations & Sustainment is a highly technical, customer-facing role focused on deploying, supporting, and sustaining Hivemind products in real operating environments. This role bridges field deployment, customer operations, technical troubleshooting, training, and sustainment. This is a travel-intensive role. Candidates must be willing and able to travel at least 50% of the time, including frequent domestic and international trips, customer-site work, test events, training events, and multi-week deployments as program needs require. In this role, you will work directly with customers and internal teams to install, configure, validate, train, troubleshoot, and support Hivemind products. The role requires strong technical judgment, clear customer communication, comfort operating under field pressure, and the discipline to turn field lessons into durable support artifacts: runbooks, supported baselines, evidence packages, known-issue records, escalation paths, customer-safe updates, and product feedback. What you'll do: Deploy with customers on site globally, with a minimum expectation of 50% travel, to support installation, configuration, validation, training, troubleshooting, and sustainment of Hivemind products. Become an expert user of the Hivemind Enterprise software stack, autonomy modules, deployment tooling, supported configurations, and diagnostic workflows. Execute and improve deployment runbooks covering software install, version/configuration validation, licensing or provisioning status, pre-mission checks, log readiness, and acceptance steps. Provide hands-on technical support to customer operators, maintainers, partners, and internal field teams during deployment, test, training, demonstration, and sustainment windows. Capture and organize field evidence for triage, including logs, telemetry, recorded data, screenshots, version/configuration state, asset context, operator notes, mission phase, and environmental constraints. Drive issues through the support flow: intake, severity assessment, ownership, workaround or fix delivery, customer-safe status, closure, and learning loop. Convert recurring field issues, workarounds, customer questions, and training gaps into support tickets, knowledge-base content, known-issue records, runbooks, and product feedback. Partner with engineering, product, program, sustainment, licensing, safety, legal, commercial, and support teams to route issues to the right owner for seamless customer support.Support root-cause investigation and corrective-action validation by reproducing issues, collecting field context, testing updates, and confirming fixes or workarounds. Support Field Service Representative-style obligations when required by contract, including on-site support posture, issue intake, operator assistance, troubleshooting, documentation, escalation, and evidence capture. Projects you might work on: Deploying Hivemind software and autonomy capabilities during customer integration events, exercises, test campaigns, demonstrations, or operational support windows. Building deployment-to-sustainment handoff packages with supported baselines, configuration checklists, evidence checklists, known issues, escalation contacts, and training material. Standing up a repeatable support flow so field issues move from informal chats and ad hoc engineering asks into a durable support hub, severity model, owner route, and closure loop. Troubleshooting field behavior across software, autonomy, networking, telemetry, configuration, sensors, operator workflows, and customer environment constraints. Creating customer-safe documentation that helps operators and maintainers self-serve routine issues while preserving the right escalation path for mission-critical problems. Required qualifications: Bachelor's degree in Engineering, Computer Science, Robotics, Aerospace, or a related technical field, or equivalent practical experience. 5+ years of experience in field engineering, forward-deployed engineering, applications engineering, systems integration, flight test, robotics support, unmanned systems operations, technical operations, customer deployment, or a similar hands-on technical role. Strong technical background in software engineering, systems integration, or autonomy-adjacent systems. Proficiency writing, reading, and debugging modern C++ code. Working proficiency with Python, Bash, or similar scripting for diagnostics, automation, data handling, and field support workflows. Strong troubleshooting skills across Linux or embedded systems, networking, configuration management, logs, telemetry, release packages, sensors or payloads, and operator workflows. Excellent problem-solving, communication, training, expectation-management, and escalation skills in customer-facing environments. Ability to write clear field notes, deployment records, troubleshooting guides, evidence packages, and support updates that engineering and support teams can act on. Willingness and ability to travel at least 50% of the time, including frequent domestic and international travel and multi-week deployments. Ability to operate professionally in lab, flight-test, range, customer-site, and field environments under time pressure. Ability to comply with export-control, security, safety, sensitive-data, customer-site, and mission-specific operating requirements. Preferred qualifications: Experience with autonomy, robotics, defense aviation, unmanned aircraft, deployed defense systems, flight test, payload integration, sensors, operator systems, or edge compute environments. Experience supporting defense, government, allied, or international customers in operational, test, training, or overseas environments. Experience building or scaling a support, field-service, customer-success, sustainment, or applications-engineering function during an early product rollout. Experience with enterprise software deployment, customer support, licensing, provisioning, release management, configuration baselines, or offline/air-gapped operating environments. Hands-on experience with recorded-data analysis, diagnostic tooling, telemetry review, networking tools, system health checks, or support automation. FAA Part 107, military aviation or maintenance background, UAS operator experience, flight-test experience, systems engineering experience, or prior Field Service Representative experience. Experience using GenAI tools to accelerate troubleshooting, documentation, knowledge capture, data review, or support workflow automation. Active or prior security clearance, or eligibility to obtain one when required by program or customer need. Senior Engineer: $152000-$228,000 Staff Engineer: $181,000-$272,000 Senior Staff Engineer: $212,000-$318,000 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 Company Overview ACS (Allen Control Systems) is a defense technology company building precision robotic systems for the United States and its allies. Founded by two former U.S. Navy electrical engineers with deep experience in robotics and software, ACS brings together AI, computer vision, precision motion, and advanced hardware to solve complex defense challenges across land, air, and maritime environments. Our flagship product, Bullfrog, is an autonomous precision weapon system that transforms existing weapons into highly accurate counter-drone systems - giving warfighters a scalable, cost-effective response to one of the fastest-growing threats on the modern battlefield. Bullfrog is deployed with U.S. forces, and ACS works with organizations throughout the U.S. military and national security community. Following a $200 million Series B at a $2.2 billion valuation, ACS is rapidly expanding manufacturing, accelerating Bullfrog deployments, and developing the next generation of autonomous battlefield systems. This is an opportunity to join a proven, fast-moving team and help scale technology with direct, real-world impact on national security. ACS is headquartered in Austin, Texas, with additional operations in Alexandria, Virginia; Mountain View, California; and Huntsville, Alabama. For more information, visit . Position Overview: As a Mission Operations Engineer, you will be at the center of how ACS technologies are applied across real-world missions. You'll plan and execute domestic and international events, provide critical support to program managers, and bridge the gap between engineers, operators, and clients. This role combines technical understanding with operational execution, ensuring ACS systems are effectively integrated into a wide range of mission environments. What You'll Do: Plan and execute CONUS and OCONUS events, coordinating mission readiness and operational support. Support program managers in meeting client requirements and mission objectives. Educate engineers on tactical implementation of ACS assets across the spectrum of warfare. Develop and maintain a deep understanding of defense-in-depth technical characteristics and operational challenges. Assess and articulate capabilities and limitations of UAS platforms and their real-world employment. Leverage baseline knowledge of ML/CV/AI and its applications across optical, radar, and electronic warfare systems. What You'll Need: 3+ years of relevant military, defense, or mission operations experience. Strong understanding of UAS systems, employment methods, and operational considerations. Familiarity with defense acquisition and funding processes. Ability to communicate complex technical concepts to both technical and non-technical stakeholders. Baseline knowledge of ML, computer vision, and AI applications in defense contexts. Bachelor's degree in engineering, computer science, or a related technical or defense-focused field (advanced degree a plus). Ability to travel domestically and internationally to support mission events. What We Offer: Competitive salary ACS Equity Package Health, Dental, Vision Insurance Paid Time Off Allen Control Systems is an Equal Opportunity Employer, providing equal employment opportunities to all employees and applicants for employment. Allen Control Systems 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.

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 & the Role Zipline is looking for Forward Deployed AI Engineers who will be at the forefront of bringing GenAI into one of the most complex real-world logistics systems in the world. We operate across software, hardware, aviation, robotics, healthcare, commerce, and field operations, which means the work is practical, high-stakes, and directly tied to production outcomes. This role is similar to being a hands-on AI startup CTO inside Zipline: you report directly to the Head of Operations, work in a small team, own delivery of important projects, move quickly from problem discovery to shipped product, and partner directly with users. The impact will come less from demos and more from systems that are adopted, trusted, and used in daily operations. What You'll Do Forward Deployed AI Engineers work directly with Zipline teams to own GenAI strategy and implementation for high-impact operational workflows and teams. On a daily basis, you will build end-to-end AI tools, take them to production, and solve real-world problems across aviation, logistics, fulfillment, maintenance, customer operations, and commercial teams. You will work closely with operators, engineers, product teams, and business leaders to understand user needs, define the right technical approach, and implement solutions that improve how Zipline runs. You will also bring learnings from the field back into Zipline's broader AI tooling, platforms, and best practices. What You'll Bring We value past experience building things that work. We do not need specific degrees; we need results. Make sure your resume highlights what you have built, shipped, automated, scaled, or made real. It matters less where, when, or for whom you built it; what matters is that it was useful, ambitious, technically strong, and cool. We value an engineering mindset focused on delivering production AI systems, not academic benchmarks. You should have experience building with LLMs, data processing pipelines, and analytics tools, and you should be comfortable decomposing messy business problems into reliable technical workflows. We require past experience building GenAI solutions, a strong understanding of the AI landscape, and a solid foundation in machine learning basics such as evaluation, training concepts, and problem decomposition. You should be a strong coder, with proficiency in Python, TypeScript/JavaScript, Java, C++, or similar languages. You should be comfortable collaborating with technical and non-technical teammates, working in dynamic environments, and iterating directly with users. Ability and interest in traveling to Zipline sites as needed is helpful up to 50% depending on the organization you'll be deployed into. WHAT ELSE YOU NEED TO KNOW This will be an in-office role based out of our South San Francisco HQ. Must be able to travel up to 50% of the time either to our HQ or into the Field. The starting cash range for this role is $112,500 - $300,000 ; 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 Overview First Resonance builds the ION Factory OS - the operating system powering next-generation manufacturing for companies building rockets, satellites, eVTOLs, clean energy systems, robotics, and autonomous vehicles. We've invested heavily in forward-deployed engineers at the customer edge. Now we're strengthening the hub. We're hiring a Principal Platform Engineer to serve as a platform leader: someone with deep expertise in software infrastructure and architecture who has built and operated scaled, high-uptime systems . This person will help us scale our backend, raise our reliability and performance bar, and provide sharp technical judgment on infrastructure changes. What you'll do Own platform architecture at scale: Evaluate and evolve our backend architecture to support growth in customers, data volume, and product surface area. Drive reliability and uptime: Establish and improve reliability practices (SLOs/SLIs, incident response, postmortems, on-call effectiveness, capacity planning). Performance leadership: Identify systemic performance bottlenecks; lead initiatives across databases, APIs, caching, async processing, and observability. Review and de-risk change: Provide fast, high-quality technical assessment of infrastructure proposals and incoming changes (internal and vendor-driven). Build leverage for the team: Create scalable primitives (libraries, patterns, tooling, platform services) that enable product and forward-deployed teams to ship faster with less risk. Operational excellence: Improve monitoring, alerting, dashboards, deployment safety, and rollback strategies. Mentor and set the technical bar: Coach engineers on architecture, operational maturity, and high-quality execution; lead by example through hands-on delivery. Partner cross-functionally: Work closely with Product, Security, and field-deployed engineers to balance edge/customer urgency with platform durability. What success looks like (first 90 days) Produce a clear, prioritized platform assessment : current-state risks, near-term hardening plan, and a 6-12 month scaling roadmap. Reduce risk on critical paths by improving observability (service health, latency/error budgets, key dashboards) and deployment safety . Lead at least one high-impact initiative that materially improves uptime, performance, or developer velocity . Minimum qualifications 8+ years of professional software engineering experience, with significant time owning backend/platform systems in production. Demonstrated experience building and operating high-availability, high-uptime services (including incident response and postmortem culture). Strong systems thinking across distributed systems, databases, caching, queues, APIs, and cloud infrastructure. Track record of leading large technical initiatives across teams or across a complex codebase. Excellent written and verbal communication; able to explain tradeoffs clearly and drive alignment. Preferred qualifications Prior experience as a Staff/Principal Engineer (or equivalent scope) at a high-scale infrastructure org. Depth in one or more of: SRE / reliability engineering, performance engineering, database scalability, multi-tenant architectures, zero-downtime migrations. Experience building internal platforms that enable other engineers (tooling, CI/CD, shared services, paved roads). Experience in or affinity for manufacturing, industrial software, or hard-tech customer environments. Benefits & Perks Health Insurance; medical, vision, dental, & life insurance. Paid Parental Leave. Employee Stock Option Plan. Team outings, group lunches, open office, happy hours. Paid holidays, sick days. Flexible Friday and PTO. 401K. First Resonance is an equal opportunity employer dedicated to building an inclusive and diverse workforce. First Resonance participates in E-Verify. As part of our onboarding process, a new hire's Form I-9 information will be shared with the federal government to confirm they are authorized to work in the U.S. Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. First Resonance accelerates the speed and reliability of hardware development for companies manufacturing the next generation of hardware products. This includes space exploration, electric airplanes, autonomous vehicles, nuclear reactors, robotics, and more. We are a group of software, hardware, and manufacturing engineers that are bringing the best of modern UX and data science to an industry that has been overly rigid in its innovation. We are removing the barriers preventing radical advancement by providing tools to manufacturing engineers and operators to move information more freely, collaborate with their teams more easily, and use the power of data to predict problems and provide insights that result in better hardware quality and delivery. Compensation Range: $170K - $210K

Job Description Job Description Golden, CO (Denver Metro) On-Site Full-Time About Rendezvous Robotics Today, everything we send to space is constrained by what fits inside a rocket fairing. That's a fundamental bottleneck to building more capable spacecraft. Rendezvous Robotics is solving this problem with electromagnetic self-assembling tiles that enable spacecraft that are bigger and more powerful than anything that can be folded to fit into a rocket. We're a small team based in Golden, Colorado, executing on a clear path from flight demonstration to our first operational systems. Our work spans hardware, software, and systems engineering, and we're always looking for people who want to build things that matter. The Role We are looking for a Mid to Senior Level Spacecraft Mechanisms Engineer to own the design, analysis, and testing of satellite launch restraint and release systems, tile deployment from the stowed stack, and the load path from that stack into the bus, taking flight hardware from concept through qualification, production, and on-orbit operation. You will own preloaded joint design, release device selection and integration, deployment and separation behavior, the interface to the launch vehicle separation system, and the structural analysis that supports them. You will partner with systems, electrical, avionics, software, manufacturing, test, and outside suppliers. This is a full-time, on-site role in Golden, Colorado, in the Denver metro area. Responsibilities Own launch restraint and release system design, including hold-down and release mechanisms (HDRMs), preload paths, hard point design, and preload retention through the launch environment. Select and integrate vendor-qualified non-explosive actuators (NEAs) and release devices, and qualify them as installed. Design deployment and release mechanisms, including kinematics, energy management, and end of travel behavior. Own tile deployment from the stowed stack, including separation energy. Own the load path from the stowed tile stack and its deployment mechanisms into bus primary structure. Characterize shock environments generated by release devices, including levels at mounted electronics. Perform structural analysis of stowed and deployed configurations, including modal, quasi-static, and random vibration. Develop torque and force margin analysis to a recognized standard. Develop test plans and support deployment, vibration, shock, and thermal vacuum (TVAC) test campaigns, including gravity offload and instrumentation. Engage suppliers, support fabrication processes, and produce and check detailed drawings with geometric dimensioning and tolerancing (GD&T). Required Qualifications Bachelor's degree in Mechanical or Aerospace Engineering or a related field; advanced degree is a plus. 4+ years of spacecraft or satellite mechanism design experience. Demonstrated experience designing spaceflight hardware that has flown, including at least one deployment, launch restraint, or release mechanism. Preloaded joint design experience, including torque and preload relationships, preload retention, and margin against a recognized standard such as NASA-STD-5020. Hands-on deployment, vibration, and shock testing experience. Proficiency with structural finite element analysis (FEA) for modal, quasi-static, and random vibration analysis of stowed and deployed configurations. Experience modeling complex and preloaded joints. Working knowledge of launch and on-orbit load environments, factors of safety, and margin of safety reporting. Strong command of 3D CAD, detailed drawings, tolerance stack-ups, and GD&T (ASME Y14.5). Solid understanding of spaceflight materials, hardware, fabrication techniques, and design for manufacturability. Strong ability to communicate across engineering disciplines to make program-critical decisions. Preferred Qualifications Experience delivering separation systems, deployables, release mechanisms, precision mechanisms, or other moving mechanical assemblies to flight. Experience owning spacecraft primary structure at the bus level, including launch vehicle interface hardware and rideshare accommodation. Experience with stacked or multi-body stowed configurations. Experience designing preloaded joints into sandwich panel structure, including potted inserts, hard points, and compression tubes. Experience with bonded joint design and analysis. Experience characterizing NEA-induced shock, including shock response spectrum analysis. Experience applying torque and force margin methodology per NASA-STD-5017, NASA-STD-5020, or equivalents. Experience designing gravity offload rigs. Familiarity with vacuum tribology, including lubricants, dry film coatings, galling, and cold welding. Familiarity with vibration test notching and force limiting. Familiarity with NASA verification standards, including the General Environmental Verification Standard (GEVS), and/or SMC-S-016. Proficiency with Onshape (SolidWorks, NX, or Creo also valued). Proficiency with industry-standard FEA tools (e.g., Nastran/Femap, ANSYS, Abaqus). Proficiency with Python or MATLAB for analysis and data processing. Hands-on R&D background, including prototyping, testing, and iterating on novel mechanical concepts. Experience in a startup or fast-iteration hardware environment. Compensation and Benefits Engineer: $110,000 to $140,000 Senior Engineer: $140,000 to $170,000 Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. In addition to the base salary, you may also be eligible for long-term incentives in the form of stock options. You will receive access to comprehensive medical, vision, and dental coverage, short- and long-term disability insurance, life insurance, and paid parental leave. You may also receive 3 weeks of paid vacation and will be eligible for 10 or more paid holidays per year. ITAR Requirements To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Equal Opportunity Rendezvous Robotics is an Equal Opportunity Employer. Employment is based on merit, competence, and qualifications, and will not be influenced by race, color, religion, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status.

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.

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.

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: Shield AI builds intelligent systems that protect service members and civilians. Our products include Hivemind autonomy software and V-BAT and X-BAT aircraft, and our teams support customers and operations across the United States, Europe, the Middle East, and Asia-Pacific. The Forward Deployed Engineer, Operations & Sustainment is a highly technical, customer-facing role focused on deploying, supporting, and sustaining Hivemind products in real operating environments. This role bridges field deployment, customer operations, technical troubleshooting, training, and sustainment. This is a travel-intensive role. Candidates must be willing and able to travel at least 50% of the time, including frequent domestic and international trips, customer-site work, test events, training events, and multi-week deployments as program needs require. In this role, you will work directly with customers and internal teams to install, configure, validate, train, troubleshoot, and support Hivemind products. The role requires strong technical judgment, clear customer communication, comfort operating under field pressure, and the discipline to turn field lessons into durable support artifacts: runbooks, supported baselines, evidence packages, known-issue records, escalation paths, customer-safe updates, and product feedback. What you'll do: Deploy with customers on site globally, with a minimum expectation of 50% travel, to support installation, configuration, validation, training, troubleshooting, and sustainment of Hivemind products. Become an expert user of the Hivemind Enterprise software stack, autonomy modules, deployment tooling, supported configurations, and diagnostic workflows. Execute and improve deployment runbooks covering software install, version/configuration validation, licensing or provisioning status, pre-mission checks, log readiness, and acceptance steps. Provide hands-on technical support to customer operators, maintainers, partners, and internal field teams during deployment, test, training, demonstration, and sustainment windows. Capture and organize field evidence for triage, including logs, telemetry, recorded data, screenshots, version/configuration state, asset context, operator notes, mission phase, and environmental constraints. Drive issues through the support flow: intake, severity assessment, ownership, workaround or fix delivery, customer-safe status, closure, and learning loop. Convert recurring field issues, workarounds, customer questions, and training gaps into support tickets, knowledge-base content, known-issue records, runbooks, and product feedback. Partner with engineering, product, program, sustainment, licensing, safety, legal, commercial, and support teams to route issues to the right owner for seamless customer support.Support root-cause investigation and corrective-action validation by reproducing issues, collecting field context, testing updates, and confirming fixes or workarounds. Support Field Service Representative-style obligations when required by contract, including on-site support posture, issue intake, operator assistance, troubleshooting, documentation, escalation, and evidence capture. Projects you might work on: Deploying Hivemind software and autonomy capabilities during customer integration events, exercises, test campaigns, demonstrations, or operational support windows. Building deployment-to-sustainment handoff packages with supported baselines, configuration checklists, evidence checklists, known issues, escalation contacts, and training material. Standing up a repeatable support flow so field issues move from informal chats and ad hoc engineering asks into a durable support hub, severity model, owner route, and closure loop. Troubleshooting field behavior across software, autonomy, networking, telemetry, configuration, sensors, operator workflows, and customer environment constraints. Creating customer-safe documentation that helps operators and maintainers self-serve routine issues while preserving the right escalation path for mission-critical problems. Required qualifications: Bachelor's degree in Engineering, Computer Science, Robotics, Aerospace, or a related technical field, or equivalent practical experience. 5+ years of experience in field engineering, forward-deployed engineering, applications engineering, systems integration, flight test, robotics support, unmanned systems operations, technical operations, customer deployment, or a similar hands-on technical role. Strong technical background in software engineering, systems integration, or autonomy-adjacent systems. Proficiency writing, reading, and debugging modern C++ code. Working proficiency with Python, Bash, or similar scripting for diagnostics, automation, data handling, and field support workflows. Strong troubleshooting skills across Linux or embedded systems, networking, configuration management, logs, telemetry, release packages, sensors or payloads, and operator workflows. Excellent problem-solving, communication, training, expectation-management, and escalation skills in customer-facing environments. Ability to write clear field notes, deployment records, troubleshooting guides, evidence packages, and support updates that engineering and support teams can act on. Willingness and ability to travel at least 50% of the time, including frequent domestic and international travel and multi-week deployments. Ability to operate professionally in lab, flight-test, range, customer-site, and field environments under time pressure. Ability to comply with export-control, security, safety, sensitive-data, customer-site, and mission-specific operating requirements. Preferred qualifications: Experience with autonomy, robotics, defense aviation, unmanned aircraft, deployed defense systems, flight test, payload integration, sensors, operator systems, or edge compute environments. Experience supporting defense, government, allied, or international customers in operational, test, training, or overseas environments. Experience building or scaling a support, field-service, customer-success, sustainment, or applications-engineering function during an early product rollout. Experience with enterprise software deployment, customer support, licensing, provisioning, release management, configuration baselines, or offline/air-gapped operating environments. Hands-on experience with recorded-data analysis, diagnostic tooling, telemetry review, networking tools, system health checks, or support automation. FAA Part 107, military aviation or maintenance background, UAS operator experience, flight-test experience, systems engineering experience, or prior Field Service Representative experience. Experience using GenAI tools to accelerate troubleshooting, documentation, knowledge capture, data review, or support workflow automation. Active or prior security clearance, or eligibility to obtain one when required by program or customer need. Senior Engineer: $152000-$228,000 Staff Engineer: $181,000-$272,000 Senior Staff Engineer: $212,000-$318,000 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 Special Information This position is an on-site position which requires the incumbent to complete their work primarily at an NAU site, campus, or facility with or without accommodation. Opportunities for remote work are rare. This position is subject to the availability of funding. Driving a vehicle on behalf of the university is anticipated to be a regular part of this position. Arizona Administrative Code Fleet Safety Policy requires all employees who drive on university business become authorized by submitting Driver's license information for driving record monitoring, and completion of training appropriate to the level of driving performed. The law applies to all faculty, staff, and students who drive personal or university-owned motorized vehicles for any business purpose. More information on the NAU Authorized Driver Policy can be found on the NAU website. Due to this project's funding source, this position is open only to U.S. citizens and lawful permanent residents (green card holders). The position may require handling Controlled Unclassified Information (CUI) in accordance with sponsor and university data-security requirements. Work on this project may involve technical data, hardware, or software subject to U.S. export control regulations, including the Export Administration Regulations (EAR) and the International Traffic in Arms Regulations (ITAR); the incumbent must be able to comply with applicable export control requirements and with any project-specific technology control plan. About the Department/College The Radiant Center for Remote Sensing, in partnership with the Dynamic and Active Systems Lab (DASL) in the Steve Sanghi College of Engineering at Northern Arizona University, seeks a Postdoctoral Research Associate to serve as lead technical researcher on a sponsored research project focused on radio source localization from unmanned aerial systems. This is one of several concurrent postdoctoral scholar recruitments at Radiant Center, and the successful candidate will collaborate closely with fellow postdoctoral researchers and faculty working simultaneously on related projects. About the Position The project, EMS Overmatch, develops and field-tests methods for locating radio-frequency sources using an aerial platform, combining signal-based position estimation with path-planning strategies that guide the UAV toward the vantage points that best resolve a source's location. The work builds on the lab's history of developing UAV-based radio-tracking systems, extending that foundation toward more capable localization and platform hardware for this new application area. The general research plan progresses from building out and validating a single-vehicle localization system. This will include hardware integration, field data collection, and flight testing across the varied terrain around Flagstaff. The program will progress toward more advanced localization and path-planning capabilities as the research matures. The postdoc will supervise graduate student researchers supporting the project, work closely with the PI, and contribute to technical reporting and manuscript preparation. The position is based in Flagstaff, AZ. Work Environment: This position requires a substantial amount of fieldwork, including UAV flight testing across Flagstaff-area terrain ranging from desert and canyon country to ponderosa pine, mixed conifer forest, and alpine tundra (spanning close to 8,000 feet of elevation change within about an hour of campus), as well as occasional overnight or multi-day travel for more distant field campaigns and for conference travel. Laboratory work involves electronics assembly/test equipment, RF signal generators and spectrum analyzers, 3D printers, and drone hardware. The position may require occasional overtime, particularly around field campaigns and sponsor reporting deadlines. The position may require handling Controlled Unclassified Information (CUI) in accordance with sponsor and university data-security requirements. Responsibilities Include 45% - Radio Source Localization & Path Planning Research Lead development of algorithms and software development for real-time radio-frequency (RF) source localization from an aerial platform. Develop and evaluate path-planning strategies that optimize UAV positioning to improve localization accuracy and efficiency. Investigate RF propagation modeling approaches, including terrain-aware and simplified models, to characterize tradeoffs between prediction accuracy and computational cost in complex terrain. Contribute to the ongoing evolution of the project's research approach as findings develop, including potential extensions to additional operating scenarios. 25% - UAV Platform Development, Field Testing & Test Coordination Lead integration and adaptation of UAV hardware and RF-sensing payloads (hardware and software) to meet project and applicable federal hardware requirements. Plan and lead field data collection campaigns and flight tests across varied terrain to support algorithm development and validation. Coordinate test logistics and scheduling with the research team, including field-site arrangements, safety planning, and equipment readiness. Develop simulation-based and hardware-in-the-loop testing of localization and path-planning software. Collaborate with other researchers conducting related work on related topics in a team environment. 15% - Team Supervision & Mentoring Direct the day-to-day technical work of graduate student researchers supporting the project. Mentor graduate students in research methods, technical development, and professional growth. 10% - Dissemination, Reporting & Travel Prepare technical reports and milestone updates for project sponsors. Author and co-author peer-reviewed manuscripts and conference presentations. Travel to attend and present research findings at technical conferences, and travel to field sites to support testing and data collection campaigns. 5% - Other Perform other duties as assigned in support of lab and project needs. Minimum Qualifications Ph.D. in Electrical Engineering, Mechanical Engineering, Robotics, or a closely related field, completed prior to the start date. A combination of related education, experience, and training may be used as an equivalent to the above Minimum Qualifications. Preferred Qualifications Demonstrated research experience in RF signal processing, propagation modeling, source localization, or a closely related discipline such as optimization, estimation, or controls. Proficiency in Python and/or C++. Applied experience with software-defined radio (SDR) systems. Robotic path/trajectory planning or simultaneous localization and mapping (SLAM) experience. Hands-on experience with drone hardware and software, including integrating sensors and compute onto UAV flight- controller/autopilot stacks (e.g., Pixhawk, Cube, ArduPilot/PX4) and edge-compute platforms (e.g., Raspberry Pi). Field research/testing experience with UAV systems Record of peer-reviewed publications in the area of RF topic and/or robotics. Demonstrated ability to mentor and direct graduate student researchers. FAA Part 107 Remote Pilot Certificate, or willingness to obtain one shortly after hire. Knowledge, Skills, & Abilities Strong programming skills in Python and/or C++. Working knowledge of optimization, estimation, or path-planning methods, and RF propagation/signal processing principles. Ability to take initiative and complete complex, ambiguous technical tasks with minimal direct supervision. Ability to synthesize complex technical information into clear written reports, manuscripts, and presentations. Ability to safely plan and execute UAV field operations, including in remote/rugged terrain and under variable weather conditions. Ability to mentor and direct the day-to-day technical work of graduate student researchers. Compensation Salary range begins at $70,000. Annual salary commensurate with candidate's qualifications and related experience. Pre-Employment Check Northern Arizona University requires satisfactory results for the following: a criminal background investigation, an employment history verification and a degree verification (in some cases) prior to employment. You may also be required to complete a fingerprint background check. Also, as an employer in the state of Arizona, NAU is required to participate in the federal E-Verify program that assists employers with verifying new employees' right to work in the United States. This position has been identified as a safety/security sensitive position. Therefore, per AZ Revised Statute, Northern Arizona University requires satisfactory results for the following: a criminal background investigation, employment history investigation, degree verification (in some cases) and fingerprinting. If you are applying for a job that requires a CDL, you will be required to register with the Federal Motor Carrier Safety Administration Drug & Alcohol Clearinghouse and adhere to the clearinghouse requirements. Notice of Availability of the Annual Fire and Security Report Each year Northern Arizona University releases an Annual Security Report. The report is a result of a federal law known as the Clery Act. The report includes Clery reportable crime statistics for the three most recent completed calendar years and discloses procedures . click apply for full job details

Job Description Job Description POSITION TITLE: Senior Controls and Automation Engineer DEPARTMENT: Engineering REPORTS TO: Engineering Manager LOCATION: Viola JOB SUMMARY: A Senior Controls & Automation Engineer to design, build, and support custom automated test equipment, manufacturing systems, and embedded control solutions for powertrain development and production support.This role bridges industrial automation, embedded hardware/firmware, and system integration, supporting everything from robotic test cells and PLC-controlled machinery to ECU-integrated embedded devices and Windows-based engineering tools. The ideal candidate is a hands-on engineer comfortable working across electrical design, firmware, PLCs, robotics, HMIs, and on-site commissioning of one-off and low-volume systems ESSENTIAL FUNCTIONS: Industrial Automation & Controls Design, modify, and maintain automated test stands, endurance systems, and manufacturing equipment Program and troubleshoot PLCs and HMIs for presses, test fixtures, and special-purpose machinery Integrate industrial robots with presses and test systems, including interlocks and safety logic Retrofit and modernize legacy equipment where original electronics or controls are obsolete Support and repair custom, one-off automation equipment used in engineering and manufacturing Embedded Hardware & Firmware Design custom embedded control hardware for test systems and product prototypes Develop firmware in C/C++ for microcontroller-based controllers Implement CAN bus communication with ECUs and vehicle subsystems Create embedded solutions for sensors, actuators, motor control, and data acquisition Support prototype development through testing, iteration, and limited production readiness Test Systems & Instrumentation Develop automated engine and motorcycle test systems for endurance, EPA mileage accumulation, and performance testing Build systems for dyno automation, robotic control, and long-duration unattended operation Integrate sensors, cameras, and data acquisition hardware for mechanical and powertrain analysis Develop data visualization and processing tools for test and lab environments Software & Interfaces Develop Windows-based engineering and test applications (Visual Studio / C#) Interface off-the-shelf HMIs and custom hardware for operator control and remote monitoring Support configuration and calibration tools for embedded and test systems ECU & System Integration Integrate and interface with automotive ECUs, including CAN messaging and control features Support ECU feature development and experimentation for R&D projects Work closely with engineering and manufacturing teams to support powertrain development Reverse engineer CAN bus data in order to interface various ECUs with custom test equipment QUALIFICATIONS: Bachelor's degree in Electrical Engineering, Computer Engineering, Mechatronics, or equivalent experience 5+ years experience in industrial automation, controls engineering, or custom machinery Strong experience with: PLC programming and industrial I/O Embedded firmware development (C/C++) Electrical schematics and hardware design, PCB layout. Sensors, actuators, motors, VFDs, and safety circuits Hands-on experience commissioning and troubleshooting machines in real-world environments

Job Description Job Description This is a HYBRID or REM OTE role for candidates located in MN or WI. Do you want to be a vital part of a successful multi-disciplined team? At Cybertrol, you will apply your skills in a culture that focuses on commitment to high quality solutions for our customers while emphasizing personal and professional growth for our employees. Our core values are reflected in everything we do. Our dedication to being "Passionate," "Authentic," and "Willing to Help" makes a significant impact on our work culture and the success of our projects. ABOUT CYBERTROL Cybertrol Engineering creates and delivers custom-engineered automation hardware and software solutions to manufacturing customers throughout the upper Midwest and across the world. The firm is privately owned, headquartered in Minneapolis, and has additional offices in Madison and Marshfield, WI. There is an extraordinarily strong engineering culture that emphasizes both personal and professional growth along with a commitment to providing high-quality solutions, including: plant-wide automation, information, and industrial IT (Information Technology) infrastructure; custom control panel design and fabrication; and upgrades of obsolete automation systems. Job Responsibilities In this role, you will be directly responsible for developing and implementing PLC/HMI (Programmable Logic Controllers/Human Machine Interface) code, including simulation and process commissioning at customer sites. As part of this work, you will create clear and well-structured Functional Specifications and the required PLC/HMI programs working in a team as a contributor or technical lead. You will also partner with a team of Digital Manufacturing, Hardware, and Industrial IT engineers to deliver comprehensive projects that meet customer requirements. During these projects, you will become a trusted consultant for Cybertrol's customers. Some examples of specific Industrial Controls & Systems Integration Engineer responsibilities include: Engage directly with the customer to develop a complete understanding of the customer and their needs and create a Functional Specification of the full deliverable. Maintain customer contact throughout the life of the project and for some time after commissioning. Develop the PLC/HMI code in a team environment in a modern software framework. Ensure that quality processes have been followed to deliver zero-defect code to the customer during site installation. Work independently as required to deliver solutions in the area of subject matter expertise. Provide technical leadership as required, including system-level thinking and problem-solving techniques. Working with multiple disciplines and trades while leading the commissioning of projects. Up to 25% travel may be required. This travel includes product lifecycle, trade shows, or other product related travel. A valid driver's license is required. Required Qualifications B.S. in Engineering (Electrical, Computer, Mechanical, or Chemical) or related engineering field with 5 years minimum related and relevant experience in industrial automation OR Associate Degree in Engineering Technology (Electrical, Computer, IT, or Electro-Mechanical) or a related engineering technology field with 5 years minimum related and relevant experience in industrial automation. Technical leadership capability to guide, and coach team members working on complex projects. Proficient in programming and delivering projects in a team environment. Strong written and oral communication skills. Curiosity and agility in problem solving when presented with a new challenge. Focus and tenacity when given a challenge to see it through. Goal oriented with the strong desire to learn new technologies and concepts. Desired Qualifications Six-Sigma or Lean experience. Experience working around live industrial control panels and components. Experience with Agile Scrum development processes. Experience with the following technologies: PLC platforms such as Rockwell Automation, ControlLogix, Siemens S7, etc. Automatic PLC code generation tools such as Rockwell Automation ACM. Stand-alone and distributed HMI/SCADA platforms such as FTView SE/ME, Siemens WinCC, Wonderware Intouch/System Platform, Ignition, etc. Legacy PLCs and HMI/SCADA platforms. VFDs, Process Instrumentation, Robotics/Servo Control, Valve Control, etc. Safety Control Systems - PLCs and Relays. Industrial networks for device control such as Ethernet/IP, Profibus PA/DP, ASi, IOLink, HART, DeviceNet, etc. PHYSICAL REQUIREMENTS & WORKING CONDITIONS Office Work: Office desk/cubicle environment Extensive computer use Occasional Control panel IO powered checkouts in panel shop or customer site Site Work: Up to 25% travel to industrial manufacturing facilities. Typical locations are in North America. Rarely travel to other continents. Overnight travel from a few days to several days at a time. Travel duration rarely exceeds twelve days in a row. Ability to consistently lift 50 lbs. On-Site working conditions may include: Work around construction equipment and personnel. Work around production equipment and production personnel. Work in hot or cold areas. Work in noisy areas. Work up and down stairs, indoors and outdoors. Electrical/Instrumentation Device Checkout and Troubleshooting. Includes voltage testing, equipment troubleshooting on a ladder, and light electrical assembly - signal wiring in control panels/instruments. Working and interfacing with operations, engineering, equipment supply, and construction personnel. Typical Personnel Protective Equipment (PPE) Required: Safety Glasses, Steel Toed shoes, hearing protection, and electrical safety PPE. Employees must comply with customer specific requirements and PPE. Work may include working weekends, holidays, nightshift, and extended hours to meet deadlines and commissioning requirements. Occasionally on-site work can be 12+ hours/day. Cybertrol offers a discretionary bonus to all employees, based on company and personal performance. In addition, all full-time employees are eligible for a variety of benefits including health insurance coverage, life and disability insurance, 401(k), paid holidays and personal paid time off (PTO), supplemental insurance plans, and education reimbursement. Cybertrol is committed to equal employment opportunities for all applicants and employees. Applicants will receive consideration for employment regardless of veteran status, race, color, religion, sex, marital status, national origin, physical or mental disability, age and/or any other protected status as required by law.

Job Description Job Description This is a HYBRID or REM OTE role for candidates located in MN or WI. Do you want to be a vital part of a successful multi-disciplined team? At Cybertrol, you will apply your skills in a culture that focuses on commitment to high quality solutions for our customers while emphasizing personal and professional growth for our employees. Our core values are reflected in everything we do. Our dedication to being "Passionate," "Authentic," and "Willing to Help" makes a significant impact on our work culture and the success of our projects. ABOUT CYBERTROL Cybertrol Engineering creates and delivers custom-engineered automation hardware and software solutions to manufacturing customers throughout the upper Midwest and across the world. The firm is privately owned, headquartered in Minneapolis, and has additional offices in Madison and Marshfield, WI. There is an extraordinarily strong engineering culture that emphasizes both personal and professional growth along with a commitment to providing high-quality solutions, including: plant-wide automation, information, and industrial IT (Information Technology) infrastructure; custom control panel design and fabrication; and upgrades of obsolete automation systems. Job Responsibilities In this role, you will be directly responsible for developing and implementing PLC/HMI (Programmable Logic Controllers/Human Machine Interface) code, including simulation and process commissioning at customer sites. As part of this work, you will create clear and well-structured Functional Specifications and the required PLC/HMI programs working in a team as a contributor or technical lead. You will also partner with a team of Digital Manufacturing, Hardware, and Industrial IT engineers to deliver comprehensive projects that meet customer requirements. During these projects, you will become a trusted consultant for Cybertrol's customers. Some examples of specific Industrial Controls & Systems Integration Engineer responsibilities include: Engage directly with the customer to develop a complete understanding of the customer and their needs and create a Functional Specification of the full deliverable. Maintain customer contact throughout the life of the project and for some time after commissioning. Develop the PLC/HMI code in a team environment in a modern software framework. Ensure that quality processes have been followed to deliver zero-defect code to the customer during site installation. Work independently as required to deliver solutions in the area of subject matter expertise. Provide technical leadership as required, including system-level thinking and problem-solving techniques. Working with multiple disciplines and trades while leading the commissioning of projects. Up to 25% travel may be required. This travel includes product lifecycle, trade shows, or other product related travel. A valid driver's license is required. Required Qualifications B.S. in Engineering (Electrical, Computer, Mechanical, or Chemical) or related engineering field with 5 years minimum related and relevant experience in industrial automation OR Associate Degree in Engineering Technology (Electrical, Computer, IT, or Electro-Mechanical) or a related engineering technology field with 5 years minimum related and relevant experience in industrial automation. Technical leadership capability to guide, and coach team members working on complex projects. Proficient in programming and delivering projects in a team environment. Strong written and oral communication skills. Curiosity and agility in problem solving when presented with a new challenge. Focus and tenacity when given a challenge to see it through. Goal oriented with the strong desire to learn new technologies and concepts. Desired Qualifications Six-Sigma or Lean experience. Experience working around live industrial control panels and components. Experience with Agile Scrum development processes. Experience with the following technologies: PLC platforms such as Rockwell Automation, ControlLogix, Siemens S7, etc. Automatic PLC code generation tools such as Rockwell Automation ACM. Stand-alone and distributed HMI/SCADA platforms such as FTView SE/ME, Siemens WinCC, Wonderware Intouch/System Platform, Ignition, etc. Legacy PLCs and HMI/SCADA platforms. VFDs, Process Instrumentation, Robotics/Servo Control, Valve Control, etc. Safety Control Systems - PLCs and Relays. Industrial networks for device control such as Ethernet/IP, Profibus PA/DP, ASi, IOLink, HART, DeviceNet, etc. PHYSICAL REQUIREMENTS & WORKING CONDITIONS Office Work: Office desk/cubicle environment Extensive computer use Occasional Control panel IO powered checkouts in panel shop or customer site Site Work: Up to 25% travel to industrial manufacturing facilities. Typical locations are in North America. Rarely travel to other continents. Overnight travel from a few days to several days at a time. Travel duration rarely exceeds twelve days in a row. Ability to consistently lift 50 lbs. On-Site working conditions may include: Work around construction equipment and personnel. Work around production equipment and production personnel. Work in hot or cold areas. Work in noisy areas. Work up and down stairs, indoors and outdoors. Electrical/Instrumentation Device Checkout and Troubleshooting. Includes voltage testing, equipment troubleshooting on a ladder, and light electrical assembly - signal wiring in control panels/instruments. Working and interfacing with operations, engineering, equipment supply, and construction personnel. Typical Personnel Protective Equipment (PPE) Required: Safety Glasses, Steel Toed shoes, hearing protection, and electrical safety PPE. Employees must comply with customer specific requirements and PPE. Work may include working weekends, holidays, nightshift, and extended hours to meet deadlines and commissioning requirements. Occasionally on-site work can be 12+ hours/day. Cybertrol offers a discretionary bonus to all employees, based on company and personal performance. In addition, all full-time employees are eligible for a variety of benefits including health insurance coverage, life and disability insurance, 401(k), paid holidays and personal paid time off (PTO), supplemental insurance plans, and education reimbursement. Cybertrol is committed to equal employment opportunities for all applicants and employees. Applicants will receive consideration for employment regardless of veteran status, race, color, religion, sex, marital status, national origin, physical or mental disability, age and/or any other protected status as required by law.

Job Description Job Description Controls Engineer (Automation & PLC Programming) Location: Macomb, MI Schedule: 7:00 AM start Travel: 30-35% (domestic; occasional international travel possible) Position Summary We are seeking a Controls Engineer to support the design, programming, integration, and commissioning of automated assembly equipment. This role plays a key part in the full project lifecycle-from concept and software development through on-site startup, buyoff, and production support at customer facilities. The ideal candidate has hands-on experience with PLC logic, HMI development, CNC programming, and system commissioning in a manufacturing environment. Key Responsibilities Design, program, test, document, and commission PLC and HMI software for automated systems Support installation, startup, troubleshooting, and production ramp-up at customer sites Configure drives and integrate hardware and software control systems Lead programming, commissioning, and software testing phases of automation projects Collaborate with cross-functional engineering teams throughout the project lifecycle Assist in developing engineering standards to ensure consistency and quality Research and apply new automation technologies to improve system performance Review program metrics and provide recommendations to improve operational efficiency Represent the organization professionally during customer interactions, commissioning, and buyoff Required Qualifications Bachelor's degree in Electrical Engineering, Computer Engineering, Systems Engineering, or related field Minimum 2-3 years of relevant experience (5+ years preferred) Strong experience with PLC programming, HMI development, and CNC programming Knowledge of electrical power and distribution systems Experience supporting automation systems in manufacturing environments Proficiency with Microsoft Office (Excel, Word, PowerPoint, Outlook, Project) Ability to travel up to 35% (with potential to increase depending on project needs) Must meet Export Control requirements (U.S. Person as defined by 22 C.F.R.) Preferred Skills Experience with C# programming Strong troubleshooting and problem-solving skills Experience with system integration and complex automated equipment Understanding of project execution and lifecycle management Strong communication and teamwork skills Ability to adapt to changing priorities and customer environments Why This Role Hands-on involvement with advanced automated manufacturing systems Exposure to both domestic and international projects Opportunity to lead critical commissioning and startup phases Competitive hourly pay and impactful engineering work Company Description Branex Group is a Minority-owned Technical Staffing firm headquartered in Auburn Hills, MI. We are a Certified Women's Owned Business through the Women's Business Enterprise National Council (WBENC). We specialize in Engineering, Information Technology, Robotics, Human Resources, and Finance opportunities across the United States. Branex Group is committed to being an Equal Employment Opportunity Employer and fostering a diverse and inclusive workplace. We ensure all applicants and employees are considered without discrimination or harassment based on race, color, religion, age, sex, sexual orientation, gender identity, national origin, veteran status, disability status, genetics, or any other protected characteristic by State and Federal laws. Branex Group offers the following benefits: - Medical Insurance - Dental Insurance - Vision insurance - Paid time off - 401(k) This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Company Description Branex Group is a Minority-owned Technical Staffing firm headquartered in Auburn Hills, MI. We are a Certified Women's Owned Business through the Women's Business Enterprise National Council (WBENC). We specialize in Engineering, Information Technology, Robotics, Human Resources, and Finance opportunities across the United States. Branex Group is committed to being an Equal Employment Opportunity Employer and fostering a diverse and inclusive workplace. We ensure all applicants and employees are considered without discrimination or harassment based on race, color, religion, age, sex, sexual orientation, gender identity, national origin, veteran status, disability status, genetics, or any other protected characteristic by State and Federal laws. Branex Group offers the following benefits: - Medical Insurance - Dental Insurance - Vision insurance - Paid time off - 401(k) This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Job Description Job Description Umbra is an American space technology company delivering advanced systems, from sensors to spacecraft, that empower customers worldwide with unmatched access to critical information from space. Our mission is simple and ambitious: redefine space-for people, systems, and missions in every domain. Umbra's ecosystem operates through three business units: Remote Sensing (the data), Space Systems (the components), and Mission Solutions (the platforms). Together, our teams develop capabilities that deliver persistent access, resilient performance, and mission-ready solutions, advancing U.S. space leadership while keeping the world safe and informed. About the Team Remote Sensing - The Data Remote Sensing is where Umbra got its start, and our agile Synthetic Aperture Radar (SAR) constellation remains the most capable on the market. We transform satellite data into real- world, actionable insights that strengthen U.S. national security and intelligence, support disaster response, and advance scientific discovery. Our team delivers data at scale with unmatched quality, persistence, and the speed and responsiveness our partners demand. If you want to work on cutting-edge space technology that's redefining what's possible in remote sensing, you belong here at Umbra. About the Job We are seeking a Mission Operations Vehicle Engineer to become an integral part of our dynamic Mission Operations team! This engineer will play a crucial role in the on-orbit commanding, controlling, monitoring, and tasking of our expanding constellation of synthetic aperture radar (SAR) satellites. In this exciting position, you will be responsible for ensuring the health and safety of our vital on-orbit assets, participating in launch and early orbit operations for future launches, performing mission-critical analyses, responding and resolving on-orbit anomalies, supporting collection tasking, and providing essential feedback and guidance to our internal hardware, software, and collection management teams. The Mission Operations team is a small, tight-knit group with dynamic responsibilities, making it an exciting team to be a part of. As a team, we take ownership over our various projects and responsibilities that span a broad area of expertise. We value team players and often work together to solve problems, brainstorm ideas, and execute critical tasks on orbit. This position is based on-site in our Arlington, VA office. Key Responsibilities Monitor, operate, and maintain a constellation of on-orbit satellites. Support the development and execution of mission plans and on-orbit CONOPS across the vehicle life cycle, including integration, launch, early operations checkouts, payload calibrations, orbital maneuvers, and other on-orbit activities. Respond to on-orbit anomalies, perform anomaly investigation and root cause analysis, and execute resolution activities. Develop and improve automated workflows for day-to-day operations, analysis, anomaly resolution, conjunction assessment, orbital maintenance, and mission planning. Support tasking operation and optimization, analyze overall system utilization and facilitate unique customer requests as needed. Support other teams in spacecraft modeling, simulation, mission design, and systems engineering analyses for current and future development efforts. Define and complete high-level tasks with limited oversight from management. Ad hoc tasking of satellites to evaluate and test new modes of operation. Monitor, evaluate, and improve satellite imagery and other products. Support off-hour operations (weekends and/or nights) independently, while maintaining strong communication with the overall team. Other professional duties as assigned. Requirements Required Qualifications Bachelor's degree in aerospace, systems engineering, physics, computer science, or a related STEM field. 1-3+ year(s) of experience working on spacecraft, launch vehicles, or robotics. Experience with on-orbit operations. Comfortable with: A scripting language such as MATLAB or Python. Orbit analysis or mission design tools such as STK, GMAT, or Free Flyer. Version control software such as Git. Familiarity with at least one of the following: orbital mechanics, attitude control, LEO GNC systems, space systems engineering, spacecraft propulsion, flight software, or rendezvous procedures. Excellent communications skills, ability and desire to work collaboratively in a team environment, and willingness to learn new skills and technology. Willing to support, as needed, on-call shift assignments and odd hours, such as overnights and/or weekends. Desired Qualifications Comfortable working in a dynamic and fast-paced development environment. Comfortable working on high-level tasks independently. Experience working with radar or remote sensing satellites. Familiarity with mission operations software, ground control systems, or command scripting. Exposure to low Earth orbit (LEO) mission dynamics and constraints. Benefits Flexible Time Off, Sick, Family & Medical Leave Medical, Dental, Vision, Life, LTD, STD (employer funded) Vol Life, Critical Illness, Accidental, Hospital Indemnity, Pet Insurance (employee funded) 401k with 3% non-elective company contribution Stock Options Free Parking Free lunch daily in office Umbra is an Equal Opportunity Employer. We do not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected veteran status, or any other characteristic protected by federal, state, or local law. Employment Eligibility Verification In compliance with federal laws, all hired persons will be required to verify their identity and eligibility to work in the United States by completing the required Employment Eligibility Verification Form (I-9 Form) upon hire. ITAR/EAR Requirements This position may include access to technology and/or data that is subject to U.S. export controls pursuant to ITAR and EAR. To comply with federal export controls, all persons hired must be a U.S. citizen, U.S. national, U.S. lawful permanent resident, refugee or asylee as defined by 8 U.S.C. 1324b(a)(3), or must otherwise be eligible to obtain the required authorizations from the U.S. Department of State and/or U.S. Department of Commerce as applicable. Pay Transparency This job posting may cover multiple career levels. To ensure greater transparency, we provide base salary ranges for all roles, regardless of location. Our standard pay ranges are based on the role's function and level, benchmarked against similar growth-stage companies. Compensation may vary based on geographical location, as certain regions may have different cost-of-living factors. The final offer will also be influenced by the candidate's skills, responsibilities, and relevant experience. Compensation Range The Compensation Range for this role is $90,000 - $120,000 DOE.

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: Shield AI builds intelligent systems that protect service members and civilians. Our products include Hivemind autonomy software and V-BAT and X-BAT aircraft, and our teams support customers and operations across the United States, Europe, the Middle East, and Asia-Pacific. The Forward Deployed Engineer, Operations & Sustainment is a highly technical, customer-facing role focused on deploying, supporting, and sustaining Hivemind products in real operating environments. This role bridges field deployment, customer operations, technical troubleshooting, training, and sustainment. This is a travel-intensive role. Candidates must be willing and able to travel at least 50% of the time, including frequent domestic and international trips, customer-site work, test events, training events, and multi-week deployments as program needs require. In this role, you will work directly with customers and internal teams to install, configure, validate, train, troubleshoot, and support Hivemind products. The role requires strong technical judgment, clear customer communication, comfort operating under field pressure, and the discipline to turn field lessons into durable support artifacts: runbooks, supported baselines, evidence packages, known-issue records, escalation paths, customer-safe updates, and product feedback. What you'll do: Deploy with customers on site globally, with a minimum expectation of 50% travel, to support installation, configuration, validation, training, troubleshooting, and sustainment of Hivemind products. Become an expert user of the Hivemind Enterprise software stack, autonomy modules, deployment tooling, supported configurations, and diagnostic workflows. Execute and improve deployment runbooks covering software install, version/configuration validation, licensing or provisioning status, pre-mission checks, log readiness, and acceptance steps. Provide hands-on technical support to customer operators, maintainers, partners, and internal field teams during deployment, test, training, demonstration, and sustainment windows. Capture and organize field evidence for triage, including logs, telemetry, recorded data, screenshots, version/configuration state, asset context, operator notes, mission phase, and environmental constraints. Drive issues through the support flow: intake, severity assessment, ownership, workaround or fix delivery, customer-safe status, closure, and learning loop. Convert recurring field issues, workarounds, customer questions, and training gaps into support tickets, knowledge-base content, known-issue records, runbooks, and product feedback. Partner with engineering, product, program, sustainment, licensing, safety, legal, commercial, and support teams to route issues to the right owner for seamless customer support.Support root-cause investigation and corrective-action validation by reproducing issues, collecting field context, testing updates, and confirming fixes or workarounds. Support Field Service Representative-style obligations when required by contract, including on-site support posture, issue intake, operator assistance, troubleshooting, documentation, escalation, and evidence capture. Projects you might work on: Deploying Hivemind software and autonomy capabilities during customer integration events, exercises, test campaigns, demonstrations, or operational support windows. Building deployment-to-sustainment handoff packages with supported baselines, configuration checklists, evidence checklists, known issues, escalation contacts, and training material. Standing up a repeatable support flow so field issues move from informal chats and ad hoc engineering asks into a durable support hub, severity model, owner route, and closure loop. Troubleshooting field behavior across software, autonomy, networking, telemetry, configuration, sensors, operator workflows, and customer environment constraints. Creating customer-safe documentation that helps operators and maintainers self-serve routine issues while preserving the right escalation path for mission-critical problems. Required qualifications: Bachelor's degree in Engineering, Computer Science, Robotics, Aerospace, or a related technical field, or equivalent practical experience. 5+ years of experience in field engineering, forward-deployed engineering, applications engineering, systems integration, flight test, robotics support, unmanned systems operations, technical operations, customer deployment, or a similar hands-on technical role. Strong technical background in software engineering, systems integration, or autonomy-adjacent systems. Proficiency writing, reading, and debugging modern C++ code. Working proficiency with Python, Bash, or similar scripting for diagnostics, automation, data handling, and field support workflows. Strong troubleshooting skills across Linux or embedded systems, networking, configuration management, logs, telemetry, release packages, sensors or payloads, and operator workflows. Excellent problem-solving, communication, training, expectation-management, and escalation skills in customer-facing environments. Ability to write clear field notes, deployment records, troubleshooting guides, evidence packages, and support updates that engineering and support teams can act on. Willingness and ability to travel at least 50% of the time, including frequent domestic and international travel and multi-week deployments. Ability to operate professionally in lab, flight-test, range, customer-site, and field environments under time pressure. Ability to comply with export-control, security, safety, sensitive-data, customer-site, and mission-specific operating requirements. Preferred qualifications: Experience with autonomy, robotics, defense aviation, unmanned aircraft, deployed defense systems, flight test, payload integration, sensors, operator systems, or edge compute environments. Experience supporting defense, government, allied, or international customers in operational, test, training, or overseas environments. Experience building or scaling a support, field-service, customer-success, sustainment, or applications-engineering function during an early product rollout. Experience with enterprise software deployment, customer support, licensing, provisioning, release management, configuration baselines, or offline/air-gapped operating environments. Hands-on experience with recorded-data analysis, diagnostic tooling, telemetry review, networking tools, system health checks, or support automation. FAA Part 107, military aviation or maintenance background, UAS operator experience, flight-test experience, systems engineering experience, or prior Field Service Representative experience. Experience using GenAI tools to accelerate troubleshooting, documentation, knowledge capture, data review, or support workflow automation. Active or prior security clearance, or eligibility to obtain one when required by program or customer need. Senior Engineer: $152000-$228,000 Staff Engineer: $181,000-$272,000 Senior Staff Engineer: $212,000-$318,000 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 ATI: Automated Tire (ATI) is a Series-B startup revolutionizing automotive service with innovative robotic and software technology. Founded by experienced entrepreneurs and backed by major players in the automotive and tire sectors, ATI is building the next generation of tools that make tire shops and dealership service lanes faster, safer, and smarter. If you're passionate about building products that ship into real-world environments, ATI is the place for you. Position Overview: BrakeWise is our production brake inspection product: a mobile application paired with a camera probe that technicians use to assess pad and rotor condition during live service work. The machine learning behind it is a multi-stage pipeline of segmentation and classification models that turn raw imagery into a wear assessment a shop can act on and charge for. That pipeline works, and it is an MVP. It runs on Cloud Functions, and it will not carry us to the customer volume we're signing. We're looking for a Staff MLOps Engineer to own it - to take it from a working prototype to a serving architecture that holds up under real throughput, with the latency, cost, and reliability characteristics a paying customer expects. You'll own every aspect of how our models reach production and how they get better: serving infrastructure, deployment and rollback, monitoring and drift detection, the retraining loop, and the evaluation discipline that tells us whether a new model is actually an improvement. Model accuracy here has commercial consequences - a bad wear call is either a missed repair or an unnecessary one, in front of a customer. This is also the senior cloud architecture voice on the team. You'll partner closely with our Staff Full Stack Engineer, who owns the mobile app and customer dashboard, reviewing designs and setting GCP practices across the platform rather than only within the ML stack. Responsibilities: Own the multi-stage inference pipeline (segmentors and classifiers) end to end - serving architecture, latency, throughput, reliability, and cost per inspection Re-architect the pipeline off its current Cloud Functions MVP onto infrastructure that scales: containerized inference, GPU-backed or accelerated serving where it pays for itself, queueing, batching, and autoscaling Own model deployment: versioning, staged rollout, canary and shadow evaluation, and fast rollback when a model regresses Build and own the improvement loop - field data collection, labeling workflows, dataset versioning, evaluation harnesses, and regression suites that catch quality loss before customers do Monitor model quality in production: drift detection, segmented performance analysis, and triage of real-world failures against real inspection imagery Define the metrics that matter commercially - false-positive and false-negative rates on a wear call, technician override rate, unit inference cost - and report against them Improve model performance directly: architecture selection, augmentation, hard-example mining, and quantization or distillation where latency and cost demand it Evaluate on-device versus cloud inference trade-offs for the mobile app, and own whichever path we choose Establish MLOps foundations: reproducible training, experiment tracking, CI/CD for models, and infrastructure as code Serve as the cloud architecture counterpart to the Staff Full Stack Engineer - reviewing designs, setting GCP best practices, and raising the platform's infrastructure bar Work with hardware and field operations on capture quality - lighting, focus, and probe positioning - since upstream image quality sets the ceiling on model performance Own production support for the ML stack, including incident response and on-call participation for inference availability Proactively identify technical risks and architectural trade-offs, and communicate them clearly to leadership Requirements 8+ years of professional engineering experience, including several years owning machine learning systems in production - not solely model development Demonstrated experience taking a computer vision pipeline from prototype to production scale, serving real users at meaningful volume Deep experience deploying and operating segmentation and classification models, including multi-stage pipelines where one model's output feeds the next Strong cloud infrastructure background, preferably GCP - Vertex AI, Cloud Run, GKE, Cloud Functions, Cloud SQL, Pub/Sub, and Docker Production-grade Python, and fluency with PyTorch or TensorFlow Hands-on experience with model serving and optimization - Triton, TorchServe, ONNX, TensorRT, quantization, or equivalent Experience owning deployment and support for a live system, including incident response, rollback, and on-call Experience building data and labeling pipelines with dataset versioning and reproducible evaluation Comfort with infrastructure as code (e.g., Terraform) and CI/CD automation (e.g., GitHub Actions) Sound judgment on the accuracy, latency, and cost trade-offs that determine whether an ML product is viable Excellent problem-solving, debugging, and communication skills, including with non-technical stakeholders Preferred Qualifications: On-device or edge inference experience (Core ML, TensorFlow Lite, ExecuTorch) and integration into mobile applications Active learning or human-in-the-loop labeling systems Computer vision on small, long-tail, or industrial inspection datasets rather than large public benchmarks Experience with camera and sensor integration, or working alongside hardware teams on capture quality Experience with robotics, IoT, or edge computing (ROS or similar platforms) Familiarity with automotive service, dealership operations, or DMS ecosystems Contributions to open-source projects Why Join ATI: Be part of a groundbreaking startup transforming automotive service technology Work with a team of industry veterans and top-tier robotics and software talent Own the ML platform for a product that already has paying customers - your architecture decisions set the scaling ceiling Our customers are our investors, so you'll develop and test in real service lane environments A genuine data advantage: proprietary inspection imagery from real shops that no public dataset can replicate Clear Total Addressable Market with strong pull from B2B partners Competitive salary and comprehensive benefits package Prime location in Woburn, MA with on-site parking Collaborative, low-ego, high-intensity work environment

Job Description Job Description SF Bay Area, California Fully On-site We are seeking an Founding Computer Vision Engineer - Multimodal AI & VLMs to join an early-stage technology company building AI systems for real-world industrial environments. This role focuses on multimodal visual intelligence running in hardware-constrained environments and supporting complex physical workflows. The Opportunity You will own critical parts of the AI layer, building and deploying vision-language systems that reason over images and video in real customer environments. The role combines applied AI, computer vision, evaluation systems, and production engineering. Key Responsibilities Build and deploy agentic vision-language systems for real-world industrial workflows. Develop multimodal reasoning capabilities across images and video. Work with detection, segmentation, visual reasoning, VLMs, and related applied computer vision techniques. Own model orchestration and production deployment across hardware-constrained environments. Design and maintain evaluation systems including ground-truth datasets, trajectory evaluation, and regression testing. Iterate on production models based on real-world usage and measurable system performance. Required Qualifications Approximately 1 to 5 years of relevant professional experience. Hands-on experience shipping computer vision, multimodal, or vision-language systems to production. Strong practical understanding of visual AI applied to images and/or video. Experience owning technical systems end to end rather than working exclusively on research prototypes. Comfort operating in real-time, edge, hardware-constrained, or connectivity-constrained environments. Strong software engineering fundamentals and a high level of technical ownership. Candidate Profile The strongest candidates are practical builders who have shipped real systems with real users. Experience in robotics, autonomous systems, drones, wearables, real-time video, edge computing, or adjacent physical-world AI domains is highly relevant. Work Arrangement This position is fully in person in the San Francisco Bay Area. The initial working location is in Burlingame, with the team expected to transition to a San Francisco office. Work Authorization Candidates must be able to work in the United States. Certain visa sponsorship, transfer, or change-of-status scenarios may be supported for candidates already located in the United States. New petitions requiring processing from abroad are not supported at this time.