48 jobs found

Job Description Job Description Hadrian - Manufacturing the Future Hadrian is building autonomous factories to reindustrialize America. By combining AI, advanced software, robotics, and full-stack manufacturing, we help aerospace and defense companies build rockets, satellites, aircraft, ships, and other mission-critical systems up to 10x faster and at significantly lower cost. Following our $1.37B Series D at a $7.87B valuation, Hadrian is rapidly expanding our manufacturing footprint, launching new capabilities across welding, casting, forging, electronics, additive manufacturing, and more, while scaling our Factory-as-a-Service platform to transform how critical products are built. Backed by leading investors including JPMorgan Chase, Valor Equity Partners, Andreessen Horowitz, Founders Fund, 137 Ventures, Lux Capital, T. Rowe Price, and Morgan Stanley, we're building the future of American manufacturing-and looking for exceptional people to help make it happen. If you're ready to take on the most challenging and rewarding work of your career while helping create American manufacturing jobs for generations to come, you're exactly who we're looking for. The Role We are looking for a Senior Network Engineer to own the design, architecture, and reliability of network infrastructure across our data center, campus, multi-site, and cloud environments. You'll define how our networks are built: setting standards, architecting connectivity from the data center fabric to the factory floor and office campus, and leading new site bring-ups from design through production. You'll be the technical authority on networking, partnering with infrastructure, IT, security, and operations teams to design scalable topologies, drive automation through Infrastructure-as-Code (IaC), and keep a 24/7 manufacturing environment reliable. The ideal candidate works comfortably across every layer and environment of the network (data center, campus, wired, wireless, WAN, and cloud), pairs deep expertise with strong architectural judgment, and builds systems and standards that scale beyond a single site. What You'll Do Own network architecture across data center, campus, multi-site, and cloud, setting standards and reference designs that scale Lead new site bring-ups from topology design and capacity planning through production handoff Architect routing and switching in a scalable fashion, including route policy, redistribution, and segmentation Design and operate BGP for internet edge, multi-homing, and cloud interconnects (peering, filtering, path selection, failover) Build VXLAN/EVPN fabrics: spine-leaf, BGP EVPN control plane, VTEPs, L2/L3 VNIs, and DCI for scalable segmentation and multi-tenancy Design and operate campus networks (access, distribution, core vs clos), wired and wireless, across offices and the factory floor Run cloud-managed wired and wireless with Juniper Mist (Mist AI, Wired Assurance, WAN Assurance) for AI-driven operations and troubleshooting Implement SD-WAN and overlay technologies (GRE/IPsec/SASE) to connect sites, cloud, and remote users Design highly-available connectivity: VPNs (GlobalProtect, IPsec, remote access), first-hop redundancy (HSRP/VRRP), switch clustering Architect cloud networking across AWS and Azure (VPC/VNet, transit, peering, hybrid, BGP over Direct Connect/ExpressRoute) Drive network automation with Infrastructure-as-Code (IaC) for provisioning, configuration, and change management Set standards for monitoring, observability, documentation, and operational runbooks Lead root-cause analysis across routing, overlay, wireless, DNS, and performance issues Manage ISP and telecom relationships for circuits, redundancy, and escalations Coordinate low-voltage vendors and structured cabling for facility and data center build-outs Guide connectivity for facility systems (cameras, access control, IoT) and corporate Wi-Fi Mentor IT and infrastructure teammates and review designs and changes Join on-call rotations, incident response, maintenance windows, and help mature escalation processes Support Kubernetes and container networking (CNI, ingress, service networking) What We're Looking For 8+ years in network engineering, operations, or infrastructure, including senior design and architecture ownership Deep expertise in TCP/IP, routing, switching, wireless, VLANs, DNS, and DHCP at scale Full-stack network experience: data center, campus, and multi-site, wired and wireless Strong production experience with BGP and OSPF (route policy, redistribution, filtering, path selection) Hands-on with overlay networks, especially VXLAN/EVPN fabrics and spine-leaf Campus LAN and enterprise wireless design, ideally with cloud-managed platforms like Juniper Mist Solid high-availability and redundancy design (BGP/OSPF failover, HSRP/VRRP, path resiliency) Proven multi-site enterprise network experience Strong SD-WAN architecture and implementation experience Hands-on VPN experience (GlobalProtect, IPsec site-to-site, remote access) Cloud networking design (AWS and/or Azure), including hybrid connectivity and routing Proficiency with IaC tools (Git, Terraform, Ansible, Pulumi, CICD, etc.) Track record leading complex network projects to completion Strong operational mindset that balances speed and reliability What Will Set You Apart CCNP, CCIE, JNCIP/JNCIE, or equivalent advanced certifications Hands-on Juniper Mist (Mist AI, Wired Assurance, WAN Assurance, Marvis) for campus operations and AIOps BGP at scale: route reflectors, communities, traffic engineering, multi-provider edge EVPN/VXLAN fabrics in data center and/or campus (BGP EVPN, symmetric/asymmetric IRB, VRF multi-tenancy, ESI-LAG, DCI) Route and overlay hardening (RPKI, prefix filtering, max-prefix limits, BFD) Multi-vendor fabric platforms and controllers (Juniper Apstra, Arista CloudVision, Cisco NX-OS/ACI) Deep Juniper (EX/QFX, SRX, Mist) and Palo Alto firewall experience AWS/Azure networking depth (VPC, Direct Connect, VPN Gateway, Transit Gateway, ExpressRoute) with BGP-based hybrid routing Kubernetes networking (CNI, ingress, service mesh, BGP load balancing like MetalLB/Calico) ISP relationship and circuit provisioning management at scale Structured cabling and low-voltage program leadership Facility systems experience (cameras, access control, IoT) Experience with designing a high-availability, 24/7 production environment design Mentoring admins, engineers or technical lead experience Physical & Operational Requirements Ability to lift and move networking equipment ( 50 lbs) Comfortable working in data centers and equipment rooms 10-20% travel required for site deployments Participation in on-call rotation and occasional after-hours maintenance Compensation For this role, the target salary range is $123,000 - $220,000 (actual range may vary based on experience). This is the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's pay position within the salary range will be based on several factors, including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Benefits for Full-time Employees Medical, dental, vision, and life insurance plans for employees 401k Relocation support may be provided for certain situations, based on business need. Flexible vacation policy Equity ITAR Requirements To conform to U.S. Government export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen or national, lawful permanent resident, 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. Learn more about the ITAR here. Use of AI in hiring Hadrian uses AI-assisted tools in our recruiting and hiring processes to help our team work more efficiently. This may include tools that help organize and analyze recruiting data, as well as an AI-powered notetaker that can record and transcribe interviews and help coordinate feedback. These tools support our team and are not used to make hiring decisions. All candidate evaluations and hiring decisions are performed by humans. If an interview will be recorded, you will be notified in advance and may opt out at any time with no impact on your candidacy. Candidate data processed through these tools is subject to the same protections described in our Privacy Policy. Consideration of Criminal History Hadrian will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of all applicable laws. We do not ask about criminal history on our application, and we do not consider criminal history before making a conditional offer of employment. Hadrian Is An Equal Opportunity Employer Hadrian does not unlawfully discriminate on the basis of race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, marital status, mental status . click apply for full job details

We are seeking a Senior Robotics Software Engineer to serve as the technical lead for the software of robotic automation projects from early concept through commissioning. In this role you will define the software problems to be solved, break them into well-scoped work for other team members, and act as the go-to technical resource for the project team, while remaining hands-on in the hardest technical work: cell-level motion planning, 3D vision, calibration, and system integration. Responsibilities Serve as the technical lead for the software of robotic automation projects from feasibility through deployment, translating loosely defined needs into software requirements, acceptance criteria, and a technical plan with identified risks and mitigations. Define software problems and break project scope into well-scoped tasks with clear requirements, interfaces, and acceptance criteria; assign them to other team members based on their skills and development needs; and track progress, review deliverables, and integrate the results into a working system. Serve as the primary technical consultant for the project team, including technical discussions with customers, unblocking others and guiding their approach rather than defaulting to doing the work yourself. Help develop software effort estimates for projects and proposals based on technical scope and risk, and flag early when technical findings change those estimates. Architect the project application in C#, .NET, WPF, and MVVM on top of the common software platform, defining module boundaries, interfaces, and test strategy, and set project-level conventions consistent with company standards. Lead robot integration for the cell on Fanuc and other 6-axis industrial robots, including multi-robot and external-axis coordination and the communication architecture between robots, PLCs, sensors, and cell software. Decide which device-integration components for cameras, laser profilometers, ultrasonic probes, PLCs, motor controllers, and digital I/O become reusable across projects, and define the integration patterns other engineers follow. Own motion planning for the full cell, including trajectory generation, collision avoidance, and offline programming, and resolve tradeoffs between reach, cycle time, accuracy, and process quality across subsystems. Lead 3D vision and localization for the cell, including point-cloud processing and vision-guided robot correction, and ensure the vision, calibration, and motion subsystems work together to meet system-level accuracy. Define accuracy and cycle-time error budgets for robotic cells, own calibration methods for robot, tool, camera, and workpiece frames, and design the validation tests that prove the system meets its requirements. Implement and verify the software side of cell safety, including Fanuc DCS or equivalent safe zones, speed limits, and safety I/O, in coordination with the controls team and the cell risk assessment. Drive cell-level performance and reliability, including communication timing between robots and devices, fault handling and recovery, and diagnostics that make field issues traceable. Lead on-site commissioning and troubleshooting independently, make technical decisions in the field, drive root-cause analysis when automated systems underperform, and communicate technical impacts to the project team. Mentor other team members through design reviews, code reviews, and pairing on difficult integration problems. Qualifications Bachelor's degree in Computer Science, Computer Engineering, Robotics, or a related field; Master's degree is a plus. 9+ years of professional software development experience, with a substantial portion in industrial robotics or automation. Expert-level C# and object-oriented design skills, with a record of building and maintaining production applications. Deep experience with .NET, Dependency Injection, WPF, and MVVM, including making architecture decisions for multi-module applications. Experience setting up branching strategies, automated testing, and code review practices for a project team using Visual Studio and Git. Strong applied mathematics, including linear algebra, coordinate transformations, kinematics, and the error analysis needed to build accuracy budgets. Hands-on experience integrating 6-axis industrial robots (Fanuc, ABB, KUKA, Yaskawa, or similar) in delivered systems, including multi-robot or external-axis cells. Demonstrated experience delivering motion planning and collision avoidance for complete robotic cells. Practical experience with machine vision using OpenCV, Cognex, Keyence, or comparable tools, including 3D vision and point-cloud processing. Track record integrating sensors, PLCs, motion controllers, and industrial communication protocols, and designing the communication architecture for a robotic cell. Led the software on at least two delivered robotic systems from concept through customer acceptance. Experience leading the technical work of a small team, including problem definition, task breakdown, delegation, and review of other engineers' work. Experience developing software effort estimates from technical scope and risk. Experience configuring robot safety functions such as Fanuc DCS; familiarity with ISO 10218 or ANSI/RIA R15.06 is a plus. Experience with robotic simulation and offline programming software, such as FANUC ROBOGUIDE, and with CAD-based path generation is a plus. Clear technical communication, including documenting design decisions and explaining tradeoffs to the project team and customers. This position is a strong fit for an experienced engineer who wants to lead the technical side of complete robotic systems, solve the hardest integration problems hands-on, and help other engineers grow. The Company: Viable Engineering Solutions is a world-class concept-to-completion center for the industrial market. We take Research and Development to the next level providing rapid prototyping, robotics, automation, and non-destructive testing solutions in our state-of-the-art concept-to-completion facility. We are located in Orlando in the heart of the Central Florida Research Park. Affirmative Action / Equal Opportunity Employer Statement: Viable Engineering Solutions is an Equal Opportunity Employer and takes affirmative action to employ and advance qualified individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability. In compliance with federal law, we encourage qualified individuals with disabilities and protected veterans to apply. Reasonable accommodations are available upon request. As a federal contractor, Viable is committed to complying with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA). Compensation details: 60 Yearly Salary PI4290e1765b72-6301

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 is seeking a Network Architect to define and evolve the secure, scalable, and resilient network architecture supporting our engineering, manufacturing, autonomy development, and enterprise operations environments. As part of the Cloud & Infrastructure team within Enterprise Operations, this highly technical individual contributor will establish network strategy, standards, and reference architectures across Shield AI's offices, engineering labs, manufacturing facilities, data centers, public cloud environments, and international locations. You will remain hands-on for first-of-kind, complex, and high-risk deployments while partnering closely with Engineering, Manufacturing, Infrastructure, Cloud Platform, Site Infrastructure, Facilities, and Cybersecurity teams. What you'll do: Enterprise Network Architecture Define and maintain Shield AI's enterprise network architecture, technical strategy, standards, roadmaps, and reference designs. Architect scalable LAN, WAN, wireless, internet edge, data-center, VPN, SASE, NAC, and network security solutions across a globally distributed environment. Develop high-level and low-level designs for new offices, engineering labs, manufacturing facilities, data centers, cloud environments, acquisitions, and site integrations. Design resilient routing and connectivity architectures using BGP, OSPF, IPsec, private circuits, cloud interconnects, diverse internet services, and related technologies. Establish standards for segmentation, IP addressing, naming, routing, high availability, quality of service, observability, capacity, and lifecycle management. Lead architecture reviews, technology evaluations, proofs of concept, and design decisions for strategic network initiatives. Manufacturing IoT and Hybrid Connectivity Develop secure network architectures for manufacturing, IoT, industrial, engineering, lab, and operational technology environments. Define segmentation and access patterns for manufacturing equipment, sensors, robotics, test systems, building systems, cameras, and other connected devices. Partner with Manufacturing, Engineering, Facilities, and Cybersecurity teams to integrate operational environments without introducing unacceptable risk to enterprise or controlled networks. Design hybrid connectivity across AWS, Azure, data centers, colocation facilities, and on-premises environments, including cloud transit, private connectivity, routing integration, secure ingress and egress, and shared services. Support the integration of acquired companies, legacy networks, international locations, and newly constructed facilities into enterprise standards. Technical Leadership and Delivery Serve as the senior technical authority for complex network designs, escalations, performance issues, and resiliency improvements. Lead and actively participate in first-of-kind, complex, or high-risk deployments, migrations, cutovers, validation testing, incident response, and advanced troubleshooting. Translate architecture into implementation plans, reusable configurations, operational standards, and clear handoffs for Network Engineering and Network Security teams. Advance network automation and infrastructure-as-code practices using Terraform, Ansible, Python, APIs, and configuration-management platforms. Produce and maintain architecture diagrams, design documents, decision records, implementation standards, and operational documentation. Required qualifications: 10+ years of progressive experience in enterprise network engineering and architecture across complex, multi-site environments. Demonstrated experience leading network architecture from requirements and design through implementation, validation, and operational handoff. Deep expertise in enterprise routing, switching, wireless, WAN, internet edge, VPN, network segmentation, and high-availability design. Advanced knowledge of BGP, OSPF, VLANs, VRFs, QoS, IPsec, DNS, DHCP, NAT, route redistribution, and resilient traffic-engineering patterns. Experience architecting networks across offices, engineering facilities, manufacturing environments, data centers, colocation facilities, and public cloud environments. Strong experience with firewall architecture, zero-trust principles, network access control, secure remote access, and layered segmentation. Experience with AWS and Azure networking, including transit architectures, private connectivity, cloud routing, and network security controls. Ability to create clear architecture diagrams, reference designs, technical standards, implementation guidance, and decision documentation. Experience evaluating network technologies, vendors, carrier services, and professional-services designs. Demonstrated ability to lead complex technical initiatives, mentor engineers, and influence outcomes across teams without direct authority. Strong written and verbal communication skills, including the ability to explain architecture decisions, alternatives, and risks to technical and non-technical audiences. Bachelor's degree in Computer Science, Engineering, Information Systems, or a related discipline, or equivalent practical experience. Ability to travel periodically and support planned after-hours implementations or critical incidents. Preferred qualifications: Demonstrated experience designing secure IoT, Industrial IoT, operational technology, or manufacturing networks, including segmentation of production equipment, sensors, robotics, test systems, building systems, and other connected devices. Experience applying manufacturing or OT security architecture practices such as zone-and-conduit segmentation, the Purdue model, or ISA/IEC 62443 principles. Hands-on experience with Palo Alto Networks, Panorama, Prisma Access, Juniper, Mist, Aruba, ClearPass, or comparable enterprise platforms. Experience designing high-density or industrial wireless networks for manufacturing, warehouse, lab, or engineering environments. Experience supporting aerospace, defense, advanced manufacturing, government contracting, or another regulated environment. Knowledge of CMMC, NIST 800-171, ITAR, controlled unclassified information, and network designs supporting regulated or isolated environments. Experience integrating acquisitions, legacy environments, or international locations into global enterprise standards. Experience with network automation, source-controlled configuration, validation testing, and infrastructure-as-code. Relevant advanced certifications such as CCNP, CCIE, JNCIP, JNCIE, PCNSE, AWS Advanced Networking, or equivalent experience. 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 The UAS Chief Engineer provides technical leadership, strategic direction, and execution oversight for the design, development, integration, and sustainment of advanced additively manufacturing unmanned systems. This role is responsible for end-to-end system engineering across air, ground, maritime, and/or multi-domain unmanned platforms, ensuring mission effectiveness, survivability, cybersecurity resilience, and compliance with applicable defense standards and regulations. The Chief Engineer serves as the primary technical authority for their assigned platform or product area, guiding cross-functional engineering teams, aligning technical roadmaps with customer requirements, and ensuring delivery of high-performance, secure, and reliable systems within cost and schedule constraints. This position works closely with government stakeholders, program management, operations, and executive leadership. Essential Functions Provide overall technical leadership for additive manufactured unmanned system development programs, from concept through deployment and sustainment. Serve as the technical authority for system architecture, design trade studies, integration strategies, and risk management. Research and drive advancements in designs centered around additive manufacturing of UAS across the portfolio Lead system engineering processes including requirements development, decomposition, verification, validation, and configuration management. Oversee multidisciplinary engineering teams (mechanical, electrical, software, controls, AI/ML, autonomy, communications, cybersecurity, and systems engineering). Develop and maintain technical roadmaps aligned with defense customer needs and emerging operational requirements. Ensure compliance with applicable DoD standards, MIL-STDs, airworthiness/safety certifications, cybersecurity frameworks (e.g., RMF), and export regulations (e.g., ITAR/EAR). Direct integration of autonomy, navigation, sensors, communications, propulsion, and payload systems into cohesive, mission-ready platforms. Lead major technical reviews (SRR, PDR, CDR, TRR, PRR), ensuring readiness and program maturity at each phase. Identify, assess, and mitigate technical risks related to reliability, survivability, resilience, and mission performance. Support proposal development, customer briefings, and technical strategy discussions with government and defense partners. Foster innovation in autonomy, AI-enabled decision-making, resilient communications, and human-machine teaming. Mentor senior engineering staff and establish best practices in additive manufacturing, systems engineering, and product development. Perform other duties as assigned. Standard Essential Functions Regular and reliable attendance on a full time basis or in accordance with posted schedule . Responsible for exhibiting professional behavior with both internal and external business associates that reflects positively on the company and is consistent with the company's policies and practices. Embodies AEVEX's cultural values and aligns daily actions with department goals and company culture. Qualifications and Competencies Security Clearance-Ability to obtain/maintain a Top Secret/SCI DoD clearance, U.S. Citizenship required. Demonstrated expertise in complex systems engineering for unmanned or autonomous defense systems. Extensive knowledge in additive manufacturing of UAS systems; composites, polymers, metals. Strong working knowledge of DfX principles; Design for Manufacturability, Procurement, Testability, Modularity, Cost. Strong knowledge of platform integration across hardware, embedded systems, software, autonomy, and communications. Proven ability to lead large, multidisciplinary technical teams in a regulated defense environment. Deep understanding of systems architecture, model-based systems engineering (MBSE), and lifecycle management. Familiarity with defense acquisition processes and government contracting environments. Working knowledge of cybersecurity requirements for defense systems, including secure communications and resilient architectures. Exceptional analytical, problem-solving, and decision-making skills. Strong written and verbal communication skills, with experience presenting to senior defense stakeholders. Understand of supply chain as it relates to autonomous systems development, rapid production scaling and design for manufacturing. Education / Certifications Bachelor's degree in Aerospace Engineering, Electrical Engineering, Mechanical Engineering, Systems Engineering, Computer Engineering, or a related technical field required. Master's degree in Engineering, Systems Engineering, Robotics, Computer Science, or related field preferred. Experience 15+ years of progressive engineering experience in defense, aerospace, robotics, or autonomous systems development. 10+ years of experience with progressive technical experience in engineering roles, with a proven track record of technical design and development 7+ years in senior technical leadership roles (e.g., Lead Engineer, Chief Engineer, Technical Director, or equivalent). 7+ years in senior technical engineering roles centered around additive manufacturing principles, programs, and execution Demonstrated experience leading at least one full lifecycle unmanned or autonomous system development program. Experience interfacing directly with DoD customers, prime contractors, and/or government program offices. Background in integrating sensors, navigation systems, propulsion systems, C2 systems, autonomy software, or mission payloads into operational platforms. Experience with test and evaluation planning, field demonstrations, and operational deployment support. Experience with manufacturing technologies that enable rapid development, test and demonstration of capabilities. Experience with safety-critical systems and applicable certification standards. Physical Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties the employee is: Frequently required to sit, and to reach to use computers and other office equipment For the purpose of this summary, occasionally is used to represent up to 1/3 of the time given to the work day, frequently represents 1/3 to 2/3 of the time and constantly represents 2/3 or more of the time. About AEVEX AEVEX, headquartered in Solana Beach, California, supports the U.S. national security mission and partner nation needs around the world by providing full-spectrum aviation, remote sensing, and analysis solutions. The company's capabilities include custom design and engineering; rapid prototyping; sensor integration and sustainment; aircraft modification and certification; flight test instrumentation and support; mission operations service; advanced intelligence data processing, exploitation, and dissemination solutions; and tailored hardware and software mission-system tools. AEVEX uses agile and customized approaches to rapidly define, develop, and deliver specialized solutions for airborne special mission needs for the U.S. Government, partner nations, and commercial businesses. AEVEX has major offices in California, Florida, North Carolina, Ohio, and Virginia. AEVEX provides a full suite of comprehensive benefits, including a 401(k)-retirement plan, comprehensive Medical, Dental, Vision, Disability and Life insurance group coverage with a portion of the premiums paid by the company, professional development funds, and an Employee Assistance Plan (EAP) with counseling, legal help, child and elder care support, among other benefits for qualified employees. Recruitment Communication Notice: All official correspondence regarding your application, application status, interviews, or the AEVEX hiring process will come directly from an AEVEX representative using an email address or through Greenhouse , our applicant tracking system. Please use caution with communications claiming to represent AEVEX from other email domains, and always verify the sender before responding or providing personal information. Equal Employment Opportunity: AEVEX is an Equal Opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, religious creed, color, sex (including pregnancy, breast feeding and related medical conditions), gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship status, military and veteran status, marital status, age, protected medical condition, genetic information, physical disability, mental disability, or any other protected status in accordance with all applicable federal, state and local laws.

Job Description Job Description The UAS Chief Engineer provides technical leadership, strategic direction, and execution oversight for the design, development, integration, and sustainment of advanced additively manufacturing unmanned systems. This role is responsible for end-to-end system engineering across air, ground, maritime, and/or multi-domain unmanned platforms, ensuring mission effectiveness, survivability, cybersecurity resilience, and compliance with applicable defense standards and regulations. The Chief Engineer serves as the primary technical authority for their assigned platform or product area, guiding cross-functional engineering teams, aligning technical roadmaps with customer requirements, and ensuring delivery of high-performance, secure, and reliable systems within cost and schedule constraints. This position works closely with government stakeholders, program management, operations, and executive leadership. Essential Functions Provide overall technical leadership for additive manufactured unmanned system development programs, from concept through deployment and sustainment. Serve as the technical authority for system architecture, design trade studies, integration strategies, and risk management. Research and drive advancements in designs centered around additive manufacturing of UAS across the portfolio Lead system engineering processes including requirements development, decomposition, verification, validation, and configuration management. Oversee multidisciplinary engineering teams (mechanical, electrical, software, controls, AI/ML, autonomy, communications, cybersecurity, and systems engineering). Develop and maintain technical roadmaps aligned with defense customer needs and emerging operational requirements. Ensure compliance with applicable DoD standards, MIL-STDs, airworthiness/safety certifications, cybersecurity frameworks (e.g., RMF), and export regulations (e.g., ITAR/EAR). Direct integration of autonomy, navigation, sensors, communications, propulsion, and payload systems into cohesive, mission-ready platforms. Lead major technical reviews (SRR, PDR, CDR, TRR, PRR), ensuring readiness and program maturity at each phase. Identify, assess, and mitigate technical risks related to reliability, survivability, resilience, and mission performance. Support proposal development, customer briefings, and technical strategy discussions with government and defense partners. Foster innovation in autonomy, AI-enabled decision-making, resilient communications, and human-machine teaming. Mentor senior engineering staff and establish best practices in additive manufacturing, systems engineering, and product development. Perform other duties as assigned. Standard Essential Functions Regular and reliable attendance on a full time basis or in accordance with posted schedule . Responsible for exhibiting professional behavior with both internal and external business associates that reflects positively on the company and is consistent with the company's policies and practices. Embodies AEVEX's cultural values and aligns daily actions with department goals and company culture. Qualifications and Competencies Security Clearance-Ability to obtain/maintain a Top Secret/SCI DoD clearance, U.S. Citizenship required. Demonstrated expertise in complex systems engineering for unmanned or autonomous defense systems. Extensive knowledge in additive manufacturing of UAS systems; composites, polymers, metals. Strong working knowledge of DfX principles; Design for Manufacturability, Procurement, Testability, Modularity, Cost. Strong knowledge of platform integration across hardware, embedded systems, software, autonomy, and communications. Proven ability to lead large, multidisciplinary technical teams in a regulated defense environment. Deep understanding of systems architecture, model-based systems engineering (MBSE), and lifecycle management. Familiarity with defense acquisition processes and government contracting environments. Working knowledge of cybersecurity requirements for defense systems, including secure communications and resilient architectures. Exceptional analytical, problem-solving, and decision-making skills. Strong written and verbal communication skills, with experience presenting to senior defense stakeholders. Understand of supply chain as it relates to autonomous systems development, rapid production scaling and design for manufacturing. Education / Certifications Bachelor's degree in Aerospace Engineering, Electrical Engineering, Mechanical Engineering, Systems Engineering, Computer Engineering, or a related technical field required. Master's degree in Engineering, Systems Engineering, Robotics, Computer Science, or related field preferred. Experience 15+ years of progressive engineering experience in defense, aerospace, robotics, or autonomous systems development. 10+ years of experience with progressive technical experience in engineering roles, with a proven track record of technical design and development 7+ years in senior technical leadership roles (e.g., Lead Engineer, Chief Engineer, Technical Director, or equivalent). 7+ years in senior technical engineering roles centered around additive manufacturing principles, programs, and execution Demonstrated experience leading at least one full lifecycle unmanned or autonomous system development program. Experience interfacing directly with DoD customers, prime contractors, and/or government program offices. Background in integrating sensors, navigation systems, propulsion systems, C2 systems, autonomy software, or mission payloads into operational platforms. Experience with test and evaluation planning, field demonstrations, and operational deployment support. Experience with manufacturing technologies that enable rapid development, test and demonstration of capabilities. Experience with safety-critical systems and applicable certification standards. Physical Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties the employee is: Frequently required to sit, and to reach to use computers and other office equipment For the purpose of this summary, occasionally is used to represent up to 1/3 of the time given to the work day, frequently represents 1/3 to 2/3 of the time and constantly represents 2/3 or more of the time. About AEVEX AEVEX, headquartered in Solana Beach, California, supports the U.S. national security mission and partner nation needs around the world by providing full-spectrum aviation, remote sensing, and analysis solutions. The company's capabilities include custom design and engineering; rapid prototyping; sensor integration and sustainment; aircraft modification and certification; flight test instrumentation and support; mission operations service; advanced intelligence data processing, exploitation, and dissemination solutions; and tailored hardware and software mission-system tools. AEVEX uses agile and customized approaches to rapidly define, develop, and deliver specialized solutions for airborne special mission needs for the U.S. Government, partner nations, and commercial businesses. AEVEX has major offices in California, Florida, North Carolina, Ohio, and Virginia. AEVEX provides a full suite of comprehensive benefits, including a 401(k)-retirement plan, comprehensive Medical, Dental, Vision, Disability and Life insurance group coverage with a portion of the premiums paid by the company, professional development funds, and an Employee Assistance Plan (EAP) with counseling, legal help, child and elder care support, among other benefits for qualified employees. Recruitment Communication Notice: All official correspondence regarding your application, application status, interviews, or the AEVEX hiring process will come directly from an AEVEX representative using an email address or through Greenhouse , our applicant tracking system. Please use caution with communications claiming to represent AEVEX from other email domains, and always verify the sender before responding or providing personal information. Equal Employment Opportunity: AEVEX is an Equal Opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, religious creed, color, sex (including pregnancy, breast feeding and related medical conditions), gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship status, military and veteran status, marital status, age, protected medical condition, genetic information, physical disability, mental disability, or any other protected status in accordance with all applicable federal, state and local laws.

Job Description Job Description About Gather AI Are you ready to build the future of supply chain? At Gather AI, we're not just creating software; we're pioneering a new era of warehouse intelligence. We've developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining "on-time, in full" delivery. If you're looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We're leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time. About the role We're hiring a Staff Hardware Systems Engineer to own requirements, integration and verification and validation (V&V) for our warehouse robotics hardware: autonomous inventory drones, forklift-mounted vision systems, and the charging and battery systems that support them. You'll make sure every Gather hardware product is built from testable requirements, de-risked one technology block at a time, integrated cleanly with firmware, software and autonomy, and released on objective evidence that holds up in real warehouses. This is a hands-on individual-contributor role on a small, senior hardware team in Pittsburgh. You'll set up the framework and do the work yourself: scout and test new technologies, write the requirements, build the test rigs, run the tests and analyze the data. What you'll do Own the requirements and V&V framework for our hardware products, from system requirements down to subsystem, technology-block and interface requirements, with traceability to verification evidence. Scout, characterize and compare candidate technologies (cameras, illumination, propulsion, wireless charging, batteries and more), and recommend which to take into the next product. Own integration of electrical, firmware, software and autonomy into the hardware product design, including bring-up, integration testing and root cause of interface failures. Write and run V&V plans: test methods, rigs, fixtures and instrumentation; statistically based sampling plans; design of experiments; clear conclusions with stated uncertainty. Own environmental and compliance testing (shock and vibration, thermal and condensation, ingress, EMC/FCC), working with external test labs. Own technical budgets (power, thermal, mass, EMC/RF), lead system-level hazard analysis, and feed DFMEA. Deliver decision-ready evidence for design reviews, design freeze and release, and assess the verification impact of engineering changes. Close the loop from field failures back to requirements and tests, and shape production test strategy with our contract manufacturer. What success looks like 30 days: Own verification for our next-generation forklift vision system and break its system requirements down to hardware level. 60 days: Define requirements and the V&V plan for a new charging system, and get the requirements cascade and verification matrix in use on a live product line. 90 days: Requirements cascade and verification matrix in use across active product lines; test plans for current technology blocks; a reusable library of environmental test profiles. 1 year: V&V evidence built into every hardware stage gate, next-generation products released against that standard, and a production test coverage proposal handed to manufacturing. What you bring You've owned requirements through V&V on an electromechanical product taken from concept to production: decomposing product requirements to subsystem level with traceability, and writing and running V&V plans with objective, measurable acceptance criteria. You've integrated hardware with firmware and software in a robotic, embedded, autonomous or complex electromechanical system, including bring-up and root-causing interface failures. You use statistics to make engineering decisions: design of experiments, data analysis and statistically based sampling plans (confidence/reliability, AQL or similar). You build the test, not just the plan: test methods, rigs, fixtures and data acquisition, including measurement system analysis (e.g., Gauge R&R). BS in an engineering field with 10+ years of relevant experience, or an MS (preferred) with 8+ years. Nice to have Environmental and compliance qualification with external labs: shock and vibration, thermal cycling and condensation, IP ingress, EMC/FCC. Vision and power technology: camera characterization and illumination, lithium batteries and charging systems, and trade studies to choose between them. Regulated product development (medical, aerospace, automotive), with the judgment to scale that rigor to a startup. Experience with drones/UAVs, material handling equipment or robotics. Location Pittsburgh, PA. On-site 4-5 days a week (this is a lab-heavy, hands-on role), with about 10% travel to test labs, our contract manufacturer and customer warehouses.

Job Description Talis Consulting Group has been retained to recruit a Software Development Manager for one of the fastest-growing retailers in tabletop gaming. Founded in the late '90s out of the owner's garage, the company has grown into a global success story, with 400+ employees and more than $130M in annual revenue. Beyond its record-breaking eCommerce business, the company is also redefining the brick-and-mortar game store experience, with a national expansion underway. Role We're looking for a Software Development Manager to lead our eCommerce engineering team and own the customer-facing storefront end to end, including catalog, search, cart, checkout, account management, and buying and selling experiences. You'll build great teams and great software as a player/coach who combines technical depth, delivery leadership, and people management. Your team is full-stack with a front-end heart. Our platform includes PHP/Laravel services, MySQL, and Elasticsearch, supported by modern JavaScript/TypeScript front ends. We care deeply about polished, responsive, accessible experiences that perform across every device. Site speed, SEO, and a frictionless path from search to checkout are business outcomes, not afterthoughts. You'll stay close to the work by reviewing designs, pairing on complex problems, investigating production issues, and occasionally writing code - always with the goal of teaching and raising the bar. You'll partner closely with Principal Engineers, who establish technical direction, while ensuring consistency and alignment across the team's solutions. Above all, you'll own predictable delivery against the roadmap: taking large, ambiguous initiatives, breaking them into incrementally shippable pieces, driving realistic estimation, and leading your team to deliver reliably quarter after quarter. Key Responsibilities Technical Leadership & Stewardship Bring senior-level engineering depth to evaluate designs, challenge architecture, and ensure sound technical decisions while partnering with Principal Engineers on technical direction. Establish consistent engineering patterns, conventions, and practices across your team, including contractors and vendors. Maintain a high bar for customer experience, including performance, responsiveness, accessibility (WCAG), and SEO. Champion the effective and responsible use of approved generative AI tools for software development and help evolve team standards as those tools mature. Operational Ownership Own the operational health of live, business-critical systems through a "you build it, you run it" model, in partnership with DevOps. Establish on-call practices, ensure the team can effectively support what it builds, and lead incident response and blameless postmortems. Balance reliability and operational demands with feature delivery, recognizing that downtime and poor performance directly impact the business. Delivery & Predictable Execution Provide leadership with honest, range-based estimates and refine forecasts using real delivery data. Break large, ambiguous initiatives - including multi-year programs - into incrementally shippable capabilities with clear milestones and acceptance criteria. Build a culture of accountability where engineers estimate under uncertainty, own commitments, and follow through. Work within quarterly planning, long-term roadmap, and Scrum processes while surfacing risks and slippage early and re-planning transparently. People Leadership & Talent Coach and mentor engineers across the career ladder, creating clear and actionable growth paths. Lead and develop senior technical talent with the maturity to support their growth and advocacy while respecting their technical expertise. Own hiring, onboarding, feedback, performance management, and compensation decisions in partnership with the VP of Engineering. Lead contractors and vendors to the same standards of quality, accountability, and sustainable execution as internal team members. Business & Cross-Functional Partnership Partner with Product, Design, and business stakeholders to provide reliable feasibility, estimation, sequencing, and technical input into the roadmap. Translate business goals into technical execution while clearly communicating cost, risk, and trade-offs. Collaborate with peer engineering teams across warehouse, ERP, customer service, robotics, inventory, orders, and fulfillment systems. Qualifications 10+ years building software, including 3+ years at a senior individual-contributor level, with the technical depth to coach engineers through the senior level. 3-5+ years managing and developing software engineering teams, including the ability to lead engineers with greater technical specialization. Strong eCommerce experience building and operating customer-facing systems such as catalog, search, cart, checkout, accounts, inventory, and fulfillment. Demonstrated success breaking down large, ambiguous programs and delivering them predictably against a roadmap. Experience estimating and forecasting work using ranges, assumptions, and real delivery data. Hands-on experience with generative AI tools for software development and enabling teams to use them responsibly. Experience operating business-critical production systems, including on-call, incident response, and postmortems, in partnership with DevOps or platform teams. Strong knowledge of software architecture, modern design patterns, API design, distributed systems, and secure development practices. Strong knowledge of modern web technologies. Our stack includes PHP/Laravel, MySQL, NGINX, Elasticsearch, and modern JavaScript/TypeScript front ends; comparable experience translates well. Enough front-end fluency to maintain a high bar for responsive, performant, accessible, and SEO-friendly experiences. Excellent communication and collaboration skills across technical and non-technical stakeholders. Bachelor's degree in Computer Science or a related discipline, or equivalent professional experience. Nice to Have Experience with search, discovery, personalization, or recommendation systems at eCommerce scale. Familiarity with AWS and application security practices such as OWASP. Salary Full-time position $190,000-$210,000, depending on qualifications and experience Benefits Paid Time Off: 6 weeks accrued per year, plus 8 company holidays Health Benefits: Zero-cost premium options for medical, dental, and vision insurance Retirement: 401(k) with a 4% Safe Harbor match and no vesting period Flexible Spending Accounts & Health Savings Accounts Pre-Tax Commuter Benefits Supplemental Life & AD&D Insurance Accident, Critical Illness & Hospital Confinement Plans Employee Assistance Program Employee Discount

Job Description Talis Consulting Group has been retained to recruit a Software Development Manager for one of the fastest-growing retailers in tabletop gaming. Founded in the late '90s out of the owner's garage, the company has grown into a global success story, with 400+ employees and more than $130M in annual revenue. Beyond its record-breaking eCommerce business, the company is also redefining the brick-and-mortar game store experience, with a national expansion underway. Role We're looking for a Software Development Manager to lead the company's Operations engineering team - the team behind the internal systems that support Warehouse Management, ERP, inventory, and Customer Service tooling. Every order shipped, every card graded, and every customer issue resolved runs through software your team owns. When your systems perform, the warehouse moves; when they don't, it stops. Your team builds and operates deeply integrated, data-intensive backend systems. Integration is the core discipline here - your services are the connective tissue between warehouse operations, inventory, fulfillment, customer service, and the robotics automation systems on the warehouse floor. Getting data flowing reliably across those boundaries, keeping it consistent, and ensuring internal users have tools that actually work under operational load is how your team delivers value. You'll stay close to the work - reviewing designs, pairing on hard problems, digging into production issues alongside the team, and occasionally writing code - always in service of teaching and raising the bar. You'll partner closely with the Principal Engineer(s), who set technical direction, and you'll champion consistency and alignment across the team's solutions rather than letting one-off approaches accumulate. Above all, you'll own predictable delivery against the roadmap: taking large, ambiguous initiatives, breaking them into incrementally shippable pieces, driving honest estimation even when information is incomplete, and leading your team to deliver reliably - quarter after quarter. Technical leadership & stewardship Bring senior-level engineering depth to evaluate designs, challenge architecture, and keep your team's technical decisions sound - partnering with and amplifying the Principal Engineer(s) who author technical direction. Steward engineering standards: drive consistency in patterns, conventions, and practices across your team (including contractors and vendors), treating deviations as deliberate, reviewed exceptions. Hold a high bar for integration quality - data consistency, API reliability, event-driven correctness, and clean service boundaries - across a landscape of tightly coupled operational systems. Raise your team's effective, responsible use of generative-AI tooling for software development, within approved tools and policies - and help mature those standards as they evolve. Operational ownership Own the operational health of your domain's live systems under a "you build it, you run it" model - your team operates what it builds, in partnership with the DevOps team who provide infrastructure and platform patterns. Establish your team's on-call rotation and ensure the team can support what it builds; lead incident response within the engineering-wide incident management process - consistent across teams, and one you'll help shape - and run blameless postmortems that drive systemic fixes. Own the business impact of reliability - for warehouse operations, system downtime halts shipping throughput - and balance operational load against feature delivery so neither is starved. Delivery & predictable execution Give leadership honest, range-based estimates early, and tighten them with real data from completed work as delivery progresses. Decompose large, ambiguous initiatives - including year-plus programs - into incrementally shippable capabilities with clear milestones and acceptance criteria. Build a culture of accountability: coach engineers to lean in, estimate under ambiguity, own their commitments, and follow through - moving the team from "I can't estimate that yet" to "here's my best estimate and the assumptions behind it." Work within the delivery structure (quarterly planning, a longer-term roadmap, Scrum ceremonies), upholding it consistently while helping improve it over time; surface slippage early and re-plan transparently. People leadership & talent Coach and mentor engineers across the engineering ladder; assess where each person sits and build concrete growth paths - including managing the Principal Engineer with the maturity to own their growth and advocacy while deferring to them technically. Own hiring for your team; give direct, timely feedback; address underperformance; make performance and compensation decisions in partnership with the VP of Engineering. Onboard and direct contractors/vendors who temporarily augment the team, holding them to the same standards; set a culture of quality, accountability, and sustainable pace. Business & cross-functional partnership Partner with Product Management, warehouse operations leadership, and internal business customers - supplying trustworthy feasibility, estimation, and sequencing input they use to shape and prioritize the roadmap. Translate operational goals into technical execution and surface technical realities (cost, risk, trade-offs) back to the business in terms they can act on. Partner closely with the Robotics Automation Engineering team to align on the software-hardware interface: keeping WMS and inventory services reliable and evolvable as the automation systems on the warehouse floor change and scale. Collaborate with the eCommerce engineering team on shared domain data - inventory availability, order status, fulfillment state - ensuring consistency across systems. Qualifications 10+ years building software, including 3+ years at a senior level as an individual contributor - enough technical depth to comfortably coach engineers up to the senior level. (You won't need to out-engineer the Principals; you'll partner with them.) 3-5+ years managing and growing software engineering teams; demonstrated ability to lead engineers more technically expert than yourself. Strong operations or logistics domain experience - building and operating internal systems in areas such as warehouse management, ERP, inventory, order management, fulfillment, or customer service tooling. A track record of decomposing large, ambiguous programs and delivering them predictably and incrementally against a roadmap. Experience estimating and forecasting work with ranges and real delivery data - and the judgment to know which metrics help a team improve and which just get gamed. Hands-on fluency with generative-AI tooling for software development, and experience starting to enable a team in its responsible use. Experience operating live, business-critical systems - on-call, incident response, postmortems - in partnership with a platform/DevOps function. Strong knowledge of software architecture, modern design patterns, API design, distributed systems, and secure development practices. Strong backend and integration depth - data-intensive services, relational and non-relational databases, event-driven architectures, and service integrations across operational domains. The technology stack is primarily PHP/Laravel and MySQL; depth in a comparable backend stack translates well. Excellent communication and collaboration across technical and non-technical stakeholders, including operational and business teams who are the primary users of your systems. Bachelor's degree in Computer Science or a related discipline, or equivalent work experience. Nice to have Experience with WMS platforms, ERP systems, or purpose-built logistics/fulfillment software. Familiarity with hardware-software integration in warehouse or manufacturing environments (robotics, conveyor systems, scan-based workflows, or similar). Familiarity with AWS and with security practices like OWASP. Salary Full-time position $190,000-$210,000, depending on qualifications and experience Benefits Paid Time Off: 6 weeks accrued per year, plus 8 company holidays Health Benefits: Zero-cost premium options for medical, dental, and vision insurance Retirement: 401(k) with a 4% Safe Harbor match and no vesting period Flexible Spending Accounts & Health Savings Accounts Pre-Tax Commuter Benefits Supplemental Life & AD&D Insurance Accident, Critical Illness & Hospital Confinement Plans Employee Assistance Program Employee Discount

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. Shield AI builds trusted autonomy for national-security space missions. The Chief Engineer, Autonomy - Space Domain is the senior technical authority responsible for defining, delivering, and sustaining autonomy capabilities that convert distributed space, ground, and payload resources into timely, decision-quality data products. This leader owns the technical vision, system architecture, execution rigor, risk posture, verification strategy, and operational readiness of the space-autonomy solution across its lifecycle: concept development, integration, test, launch/commissioning support where applicable, on-orbit operations, software updates, and mission evolution. The role ensures that autonomy performs reliably across multi-constellation and multi-orbit mission environments, supports resilient operation in constrained or contested conditions, and delivers usable information to mission users at operational tempo. This is not a research position. This is a position focused on delivering mission-ready autonomy systems that perform in real-world operational environments. What You'll Do: Serve as the senior technical authority for space-domain autonomy, accountable for mission architecture, software/system design, technical execution, product quality, technical risk, verification evidence, and customer technical confidence. Define and evolve an autonomy architecture that supports end-to-end tasking, collection, processing, exploitation, and dissemination across a heterogeneous space enterprise, including satellites, hosted payloads, ground systems, mission applications, communications networks, cloud/edge compute, and external data sources. Lead the development of automatic and autonomous behaviors for multi-constellation and/or multi-orbit tasking, including prioritization, scheduling, replanning, resource allocation, coordination, conflict resolution, and response to dynamic mission demands. Define technical approaches for autonomously selecting, cueing, configuring, and coordinating collection from all relevant payload classes, as applicable to mission needs, including but not limited to: electro-optical/infrared, AIS, SAR, RF, SIGINT, communications, environmental, navigation, or third-party/partner payload sources. Architect and govern hybrid on-board and off-board processing strategies. Establish decision criteria for where inference, data reduction, fusion, storage, prioritization, and dissemination functions execute, accounting for latency, bandwidth, compute, power, thermal constraints, availability, security, mission priority, and degraded communications. Lead the technical design of advanced exploitation capabilities, including automated triage, sensor fusion, event detection, object/activity characterization, change detection, anomaly detection, provenance, confidence estimation, and analyst-in-the-loop workflows. Own the technical approach for dissemination of mission products: data-format and interface standards, prioritization, routing, timeliness, quality metadata, access control, product traceability, downstream machine-to-machine integration, and human-user delivery. Establish coherent autonomy interfaces among spacecraft buses, payloads, avionics, flight software, communications systems, mission planning systems, ground control, cloud/edge infrastructure, data platforms, and customer mission applications. Drive technical rigor across system requirements, CONOPS, architecture descriptions, interface-control documents, trade studies, test plans, verification matrices, technical performance measures, and technical baselines. Lead autonomy technical readiness for major milestones, including concept and requirements reviews, preliminary and critical design reviews, test-readiness reviews, operational demonstrations, launch-readiness activities where applicable, commissioning, on-orbit operational assessments, and customer acceptance events. Define and execute a verification and validation strategy that combines modeling and simulation, digital engineering, software-in-the-loop, hardware-in-the-loop, payload/ground integration, mission rehearsal, operational test, and-in applicable programs-on-orbit validation. Identify, quantify, and retire autonomy-specific technical risks, including failure or degradation of sensors and payloads; crosslink or ground-link interruption; incomplete, delayed, conflicting, or deceptive data; resource exhaustion; model uncertainty; interface failures; cyber compromise; and unsafe or unexplainable automated action. Partner with product, program, mission operations, security, safety/mission assurance, payload, spacecraft, ground, cloud, and data-engineering leaders to balance mission performance, technical risk, cost, schedule, and customer commitments. Serve as a senior technical counterpart for government customers, mission partners, suppliers, and internal executives. Support capture, proposal technical volumes, demonstrations, mission architecture discussions, technical reviews, and customer acceptance. Build and mentor a high-performing technical organization that may include staff engineers, autonomy developers, mission planners, data/ML engineers, test engineers, and domain experts. Required Qualifications: Bachelor's degree in computer science, aerospace engineering, electrical/computer engineering, systems engineering, applied mathematics, robotics, physics, or a related technical discipline; advanced degree preferred. 12+ years of progressively responsible experience in autonomy, space systems, aerospace, robotics, mission systems, ISR, satellite operations, distributed systems, or comparable complex technical fields. Demonstrated experience as a Chief Engineer, Lead Systems Engineer, Technical Director, Principal/Distinguished Engineer, IPT lead, or equivalent senior technical leader responsible for end-to-end system outcomes. Significant experience designing, developing, integrating, testing, and operationalizing software-intensive mission systems with high reliability, mission assurance, or certifiability requirements. Demonstrated technical depth in several of the following: Autonomous planning, scheduling, optimization, decision-making, and multi-agent or distributed coordination. Space mission planning, spacecraft or payload operations, satellite ground systems, constellation operations, or hosted-payload architectures. Multi-orbit/multi-constellation tasking and resource management. Embedded, edge, ground, cloud, and hybrid compute architectures. On-board data processing, sensor fusion, payload control, and communication-aware autonomy. ISR, remote sensing, RF, EO/IR, SAR, communications, navigation, or other mission-payload processing and exploitation. Data-product generation, provenance, quality assessment, dissemination, APIs, and enterprise mission-data integration. Systems engineering: requirements, CONOPS, architecture, ICDs, trade studies, verification planning, technical reviews, and risk management. Experience leading a multidisciplinary, matrixed engineering organization and influencing technical outcomes across teams without requiring direct reporting control. Strong written and verbal communication skills, including the ability to explain complex technical trade-offs to engineers, executives, government customers, operators, and mission partners. Experience supporting customer-facing technical work, including proposals, solution architecture, test/demonstration planning, and technical reviews. Preferred Qualifications: Experience with national security, defense, intelligence, civil-government, or commercial-space programs. Experience moving mission autonomy from prototype or research environments into sustained operational use. Demonstrated experience with operational test, mission rehearsal, launch preparation, satellite commissioning, or on-orbit anomaly response. Familiarity with safety/mission-assurance methods, cybersecurity engineering, secure software-development practices, and authorization/compliance processes relevant to space or defense systems. Experience establishing a reusable autonomy platform across multiple programs rather than delivering isolated, bespoke solutions. Active TS/SCI clearance, or established eligibility to obtain and maintain it, depending on program requirements. 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) . click apply for full job details

Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Shield AI builds trusted autonomy for national-security space missions. The Chief Engineer, Autonomy - Space Domain is the senior technical authority responsible for defining, delivering, and sustaining autonomy capabilities that convert distributed space, ground, and payload resources into timely, decision-quality data products. This leader owns the technical vision, system architecture, execution rigor, risk posture, verification strategy, and operational readiness of the space-autonomy solution across its lifecycle: concept development, integration, test, launch/commissioning support where applicable, on-orbit operations, software updates, and mission evolution. The role ensures that autonomy performs reliably across multi-constellation and multi-orbit mission environments, supports resilient operation in constrained or contested conditions, and delivers usable information to mission users at operational tempo. This is not a research position. This is a position focused on delivering mission-ready autonomy systems that perform in real-world operational environments. What You'll Do: Serve as the senior technical authority for space-domain autonomy, accountable for mission architecture, software/system design, technical execution, product quality, technical risk, verification evidence, and customer technical confidence. Define and evolve an autonomy architecture that supports end-to-end tasking, collection, processing, exploitation, and dissemination across a heterogeneous space enterprise, including satellites, hosted payloads, ground systems, mission applications, communications networks, cloud/edge compute, and external data sources. Lead the development of automatic and autonomous behaviors for multi-constellation and/or multi-orbit tasking, including prioritization, scheduling, replanning, resource allocation, coordination, conflict resolution, and response to dynamic mission demands. Define technical approaches for autonomously selecting, cueing, configuring, and coordinating collection from all relevant payload classes, as applicable to mission needs, including but not limited to: electro-optical/infrared, AIS, SAR, RF, SIGINT, communications, environmental, navigation, or third-party/partner payload sources. Architect and govern hybrid on-board and off-board processing strategies. Establish decision criteria for where inference, data reduction, fusion, storage, prioritization, and dissemination functions execute, accounting for latency, bandwidth, compute, power, thermal constraints, availability, security, mission priority, and degraded communications. Lead the technical design of advanced exploitation capabilities, including automated triage, sensor fusion, event detection, object/activity characterization, change detection, anomaly detection, provenance, confidence estimation, and analyst-in-the-loop workflows. Own the technical approach for dissemination of mission products: data-format and interface standards, prioritization, routing, timeliness, quality metadata, access control, product traceability, downstream machine-to-machine integration, and human-user delivery. Establish coherent autonomy interfaces among spacecraft buses, payloads, avionics, flight software, communications systems, mission planning systems, ground control, cloud/edge infrastructure, data platforms, and customer mission applications. Drive technical rigor across system requirements, CONOPS, architecture descriptions, interface-control documents, trade studies, test plans, verification matrices, technical performance measures, and technical baselines. Lead autonomy technical readiness for major milestones, including concept and requirements reviews, preliminary and critical design reviews, test-readiness reviews, operational demonstrations, launch-readiness activities where applicable, commissioning, on-orbit operational assessments, and customer acceptance events. Define and execute a verification and validation strategy that combines modeling and simulation, digital engineering, software-in-the-loop, hardware-in-the-loop, payload/ground integration, mission rehearsal, operational test, and-in applicable programs-on-orbit validation. Identify, quantify, and retire autonomy-specific technical risks, including failure or degradation of sensors and payloads; crosslink or ground-link interruption; incomplete, delayed, conflicting, or deceptive data; resource exhaustion; model uncertainty; interface failures; cyber compromise; and unsafe or unexplainable automated action. Partner with product, program, mission operations, security, safety/mission assurance, payload, spacecraft, ground, cloud, and data-engineering leaders to balance mission performance, technical risk, cost, schedule, and customer commitments. Serve as a senior technical counterpart for government customers, mission partners, suppliers, and internal executives. Support capture, proposal technical volumes, demonstrations, mission architecture discussions, technical reviews, and customer acceptance. Build and mentor a high-performing technical organization that may include staff engineers, autonomy developers, mission planners, data/ML engineers, test engineers, and domain experts. Required Qualifications: Bachelor's degree in computer science, aerospace engineering, electrical/computer engineering, systems engineering, applied mathematics, robotics, physics, or a related technical discipline; advanced degree preferred. 12+ years of progressively responsible experience in autonomy, space systems, aerospace, robotics, mission systems, ISR, satellite operations, distributed systems, or comparable complex technical fields. Demonstrated experience as a Chief Engineer, Lead Systems Engineer, Technical Director, Principal/Distinguished Engineer, IPT lead, or equivalent senior technical leader responsible for end-to-end system outcomes. Significant experience designing, developing, integrating, testing, and operationalizing software-intensive mission systems with high reliability, mission assurance, or certifiability requirements. Demonstrated technical depth in several of the following: Autonomous planning, scheduling, optimization, decision-making, and multi-agent or distributed coordination. Space mission planning, spacecraft or payload operations, satellite ground systems, constellation operations, or hosted-payload architectures. Multi-orbit/multi-constellation tasking and resource management. Embedded, edge, ground, cloud, and hybrid compute architectures. On-board data processing, sensor fusion, payload control, and communication-aware autonomy. ISR, remote sensing, RF, EO/IR, SAR, communications, navigation, or other mission-payload processing and exploitation. Data-product generation, provenance, quality assessment, dissemination, APIs, and enterprise mission-data integration. Systems engineering: requirements, CONOPS, architecture, ICDs, trade studies, verification planning, technical reviews, and risk management. Experience leading a multidisciplinary, matrixed engineering organization and influencing technical outcomes across teams without requiring direct reporting control. Strong written and verbal communication skills, including the ability to explain complex technical trade-offs to engineers, executives, government customers, operators, and mission partners. Experience supporting customer-facing technical work, including proposals, solution architecture, test/demonstration planning, and technical reviews. Preferred Qualifications: Experience with national security, defense, intelligence, civil-government, or commercial-space programs. Experience moving mission autonomy from prototype or research environments into sustained operational use. Demonstrated experience with operational test, mission rehearsal, launch preparation, satellite commissioning, or on-orbit anomaly response. Familiarity with safety/mission-assurance methods, cybersecurity engineering, secure software-development practices, and authorization/compliance processes relevant to space or defense systems. Experience establishing a reusable autonomy platform across multiple programs rather than delivering isolated, bespoke solutions. Active TS/SCI clearance, or established eligibility to obtain and maintain it, depending on program requirements. 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) . click apply for full job details

Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Shield AI builds trusted autonomy for national-security space missions. The Chief Engineer, Autonomy - Space Domain is the senior technical authority responsible for defining, delivering, and sustaining autonomy capabilities that convert distributed space, ground, and payload resources into timely, decision-quality data products. This leader owns the technical vision, system architecture, execution rigor, risk posture, verification strategy, and operational readiness of the space-autonomy solution across its lifecycle: concept development, integration, test, launch/commissioning support where applicable, on-orbit operations, software updates, and mission evolution. The role ensures that autonomy performs reliably across multi-constellation and multi-orbit mission environments, supports resilient operation in constrained or contested conditions, and delivers usable information to mission users at operational tempo. This is not a research position. This is a position focused on delivering mission-ready autonomy systems that perform in real-world operational environments. What You'll Do: Serve as the senior technical authority for space-domain autonomy, accountable for mission architecture, software/system design, technical execution, product quality, technical risk, verification evidence, and customer technical confidence. Define and evolve an autonomy architecture that supports end-to-end tasking, collection, processing, exploitation, and dissemination across a heterogeneous space enterprise, including satellites, hosted payloads, ground systems, mission applications, communications networks, cloud/edge compute, and external data sources. Lead the development of automatic and autonomous behaviors for multi-constellation and/or multi-orbit tasking, including prioritization, scheduling, replanning, resource allocation, coordination, conflict resolution, and response to dynamic mission demands. Define technical approaches for autonomously selecting, cueing, configuring, and coordinating collection from all relevant payload classes, as applicable to mission needs, including but not limited to: electro-optical/infrared, AIS, SAR, RF, SIGINT, communications, environmental, navigation, or third-party/partner payload sources. Architect and govern hybrid on-board and off-board processing strategies. Establish decision criteria for where inference, data reduction, fusion, storage, prioritization, and dissemination functions execute, accounting for latency, bandwidth, compute, power, thermal constraints, availability, security, mission priority, and degraded communications. Lead the technical design of advanced exploitation capabilities, including automated triage, sensor fusion, event detection, object/activity characterization, change detection, anomaly detection, provenance, confidence estimation, and analyst-in-the-loop workflows. Own the technical approach for dissemination of mission products: data-format and interface standards, prioritization, routing, timeliness, quality metadata, access control, product traceability, downstream machine-to-machine integration, and human-user delivery. Establish coherent autonomy interfaces among spacecraft buses, payloads, avionics, flight software, communications systems, mission planning systems, ground control, cloud/edge infrastructure, data platforms, and customer mission applications. Drive technical rigor across system requirements, CONOPS, architecture descriptions, interface-control documents, trade studies, test plans, verification matrices, technical performance measures, and technical baselines. Lead autonomy technical readiness for major milestones, including concept and requirements reviews, preliminary and critical design reviews, test-readiness reviews, operational demonstrations, launch-readiness activities where applicable, commissioning, on-orbit operational assessments, and customer acceptance events. Define and execute a verification and validation strategy that combines modeling and simulation, digital engineering, software-in-the-loop, hardware-in-the-loop, payload/ground integration, mission rehearsal, operational test, and-in applicable programs-on-orbit validation. Identify, quantify, and retire autonomy-specific technical risks, including failure or degradation of sensors and payloads; crosslink or ground-link interruption; incomplete, delayed, conflicting, or deceptive data; resource exhaustion; model uncertainty; interface failures; cyber compromise; and unsafe or unexplainable automated action. Partner with product, program, mission operations, security, safety/mission assurance, payload, spacecraft, ground, cloud, and data-engineering leaders to balance mission performance, technical risk, cost, schedule, and customer commitments. Serve as a senior technical counterpart for government customers, mission partners, suppliers, and internal executives. Support capture, proposal technical volumes, demonstrations, mission architecture discussions, technical reviews, and customer acceptance. Build and mentor a high-performing technical organization that may include staff engineers, autonomy developers, mission planners, data/ML engineers, test engineers, and domain experts. Required Qualifications: Bachelor's degree in computer science, aerospace engineering, electrical/computer engineering, systems engineering, applied mathematics, robotics, physics, or a related technical discipline; advanced degree preferred. 12+ years of progressively responsible experience in autonomy, space systems, aerospace, robotics, mission systems, ISR, satellite operations, distributed systems, or comparable complex technical fields. Demonstrated experience as a Chief Engineer, Lead Systems Engineer, Technical Director, Principal/Distinguished Engineer, IPT lead, or equivalent senior technical leader responsible for end-to-end system outcomes. Significant experience designing, developing, integrating, testing, and operationalizing software-intensive mission systems with high reliability, mission assurance, or certifiability requirements. Demonstrated technical depth in several of the following: Autonomous planning, scheduling, optimization, decision-making, and multi-agent or distributed coordination. Space mission planning, spacecraft or payload operations, satellite ground systems, constellation operations, or hosted-payload architectures. Multi-orbit/multi-constellation tasking and resource management. Embedded, edge, ground, cloud, and hybrid compute architectures. On-board data processing, sensor fusion, payload control, and communication-aware autonomy. ISR, remote sensing, RF, EO/IR, SAR, communications, navigation, or other mission-payload processing and exploitation. Data-product generation, provenance, quality assessment, dissemination, APIs, and enterprise mission-data integration. Systems engineering: requirements, CONOPS, architecture, ICDs, trade studies, verification planning, technical reviews, and risk management. Experience leading a multidisciplinary, matrixed engineering organization and influencing technical outcomes across teams without requiring direct reporting control. Strong written and verbal communication skills, including the ability to explain complex technical trade-offs to engineers, executives, government customers, operators, and mission partners. Experience supporting customer-facing technical work, including proposals, solution architecture, test/demonstration planning, and technical reviews. Preferred Qualifications: Experience with national security, defense, intelligence, civil-government, or commercial-space programs. Experience moving mission autonomy from prototype or research environments into sustained operational use. Demonstrated experience with operational test, mission rehearsal, launch preparation, satellite commissioning, or on-orbit anomaly response. Familiarity with safety/mission-assurance methods, cybersecurity engineering, secure software-development practices, and authorization/compliance processes relevant to space or defense systems. Experience establishing a reusable autonomy platform across multiple programs rather than delivering isolated, bespoke solutions. Active TS/SCI clearance, or established eligibility to obtain and maintain it, depending on program requirements. 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) . click apply for full job details

Job Description Job Description The UAS Chief Engineer provides technical leadership, strategic direction, and execution oversight for the design, development, integration, and sustainment of advanced additively manufacturing unmanned systems. This role is responsible for end-to-end system engineering across air, ground, maritime, and/or multi-domain unmanned platforms, ensuring mission effectiveness, survivability, cybersecurity resilience, and compliance with applicable defense standards and regulations. The Chief Engineer serves as the primary technical authority for their assigned platform or product area, guiding cross-functional engineering teams, aligning technical roadmaps with customer requirements, and ensuring delivery of high-performance, secure, and reliable systems within cost and schedule constraints. This position works closely with government stakeholders, program management, operations, and executive leadership. Essential Functions Provide overall technical leadership for additive manufactured unmanned system development programs, from concept through deployment and sustainment. Serve as the technical authority for system architecture, design trade studies, integration strategies, and risk management. Research and drive advancements in designs centered around additive manufacturing of UAS across the portfolio Lead system engineering processes including requirements development, decomposition, verification, validation, and configuration management. Oversee multidisciplinary engineering teams (mechanical, electrical, software, controls, AI/ML, autonomy, communications, cybersecurity, and systems engineering). Develop and maintain technical roadmaps aligned with defense customer needs and emerging operational requirements. Ensure compliance with applicable DoD standards, MIL-STDs, airworthiness/safety certifications, cybersecurity frameworks (e.g., RMF), and export regulations (e.g., ITAR/EAR). Direct integration of autonomy, navigation, sensors, communications, propulsion, and payload systems into cohesive, mission-ready platforms. Lead major technical reviews (SRR, PDR, CDR, TRR, PRR), ensuring readiness and program maturity at each phase. Identify, assess, and mitigate technical risks related to reliability, survivability, resilience, and mission performance. Support proposal development, customer briefings, and technical strategy discussions with government and defense partners. Foster innovation in autonomy, AI-enabled decision-making, resilient communications, and human-machine teaming. Mentor senior engineering staff and establish best practices in additive manufacturing, systems engineering, and product development. Perform other duties as assigned. Standard Essential Functions Regular and reliable attendance on a full time basis or in accordance with posted schedule . Responsible for exhibiting professional behavior with both internal and external business associates that reflects positively on the company and is consistent with the company's policies and practices. Embodies AEVEX's cultural values and aligns daily actions with department goals and company culture. Qualifications and Competencies Security Clearance-Ability to obtain/maintain a Top Secret/SCI DoD clearance, U.S. Citizenship required. Demonstrated expertise in complex systems engineering for unmanned or autonomous defense systems. Extensive knowledge in additive manufacturing of UAS systems; composites, polymers, metals. Strong working knowledge of DfX principles; Design for Manufacturability, Procurement, Testability, Modularity, Cost. Strong knowledge of platform integration across hardware, embedded systems, software, autonomy, and communications. Proven ability to lead large, multidisciplinary technical teams in a regulated defense environment. Deep understanding of systems architecture, model-based systems engineering (MBSE), and lifecycle management. Familiarity with defense acquisition processes and government contracting environments. Working knowledge of cybersecurity requirements for defense systems, including secure communications and resilient architectures. Exceptional analytical, problem-solving, and decision-making skills. Strong written and verbal communication skills, with experience presenting to senior defense stakeholders. Understand of supply chain as it relates to autonomous systems development, rapid production scaling and design for manufacturing. Education / Certifications Bachelor's degree in Aerospace Engineering, Electrical Engineering, Mechanical Engineering, Systems Engineering, Computer Engineering, or a related technical field required. Master's degree in Engineering, Systems Engineering, Robotics, Computer Science, or related field preferred. Experience 15+ years of progressive engineering experience in defense, aerospace, robotics, or autonomous systems development. 10+ years of experience with progressive technical experience in engineering roles, with a proven track record of technical design and development 7+ years in senior technical leadership roles (e.g., Lead Engineer, Chief Engineer, Technical Director, or equivalent). 7+ years in senior technical engineering roles centered around additive manufacturing principles, programs, and execution Demonstrated experience leading at least one full lifecycle unmanned or autonomous system development program. Experience interfacing directly with DoD customers, prime contractors, and/or government program offices. Background in integrating sensors, navigation systems, propulsion systems, C2 systems, autonomy software, or mission payloads into operational platforms. Experience with test and evaluation planning, field demonstrations, and operational deployment support. Experience with manufacturing technologies that enable rapid development, test and demonstration of capabilities. Experience with safety-critical systems and applicable certification standards. Physical Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties the employee is: Frequently required to sit, and to reach to use computers and other office equipment For the purpose of this summary, occasionally is used to represent up to 1/3 of the time given to the work day, frequently represents 1/3 to 2/3 of the time and constantly represents 2/3 or more of the time. About AEVEX AEVEX, headquartered in Solana Beach, California, supports the U.S. national security mission and partner nation needs around the world by providing full-spectrum aviation, remote sensing, and analysis solutions. The company's capabilities include custom design and engineering; rapid prototyping; sensor integration and sustainment; aircraft modification and certification; flight test instrumentation and support; mission operations service; advanced intelligence data processing, exploitation, and dissemination solutions; and tailored hardware and software mission-system tools. AEVEX uses agile and customized approaches to rapidly define, develop, and deliver specialized solutions for airborne special mission needs for the U.S. Government, partner nations, and commercial businesses. AEVEX has major offices in California, Florida, North Carolina, Ohio, and Virginia. AEVEX provides a full suite of comprehensive benefits, including a 401(k)-retirement plan, comprehensive Medical, Dental, Vision, Disability and Life insurance group coverage with a portion of the premiums paid by the company, professional development funds, and an Employee Assistance Plan (EAP) with counseling, legal help, child and elder care support, among other benefits for qualified employees. Recruitment Communication Notice: All official correspondence regarding your application, application status, interviews, or the AEVEX hiring process will come directly from an AEVEX representative using an email address or through Greenhouse , our applicant tracking system. Please use caution with communications claiming to represent AEVEX from other email domains, and always verify the sender before responding or providing personal information. Equal Employment Opportunity: AEVEX is an Equal Opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, religious creed, color, sex (including pregnancy, breast feeding and related medical conditions), gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship status, military and veteran status, marital status, age, protected medical condition, genetic information, physical disability, mental disability, or any other protected status in accordance with all applicable federal, state and local laws.

Job Description Job Description About Humble Robotics Working at Humble Robotics means taking on the biggest change in ground transportation in decades. We're building an autonomous, zero-emissions hauler that dramatically lowers the cost of freight with groundbreaking vision-based AI, designed for today's global logistics network. We're a fast-moving, close-knit team of AV industry veterans and innovative thinkers. We don't believe culture can be engineered - but when it falls into place, it's a once-in-a-lifetime adventure. Progress has never felt so present. Position Overview Own and support the sensors on our next-generation autonomous trucks, from selection and characterization through placement, commissioning, and on-vehicle validation. You will define what "good" means for every camera, lidar, radar, microphone, and INS on the truck, prove it in the lab and in the field, and be the person Perception and Autonomy come to when sensor data does not look right. Key Responsibilities Write and own sensor requirements. Make them testable, tie each one to an autonomy or safety need, and defend the rationale in cross-functional reviews. Run field of view, coverage, and occlusion studies for a Class 8 tractor-trailer. Quantify blind zones, cross-modality overlap, and trailer articulation effects, and use that analysis to drive sensor placement decisions. Characterize remote-sensing systems, including camera, lidar, radar, microphone, IMU, and GNSS: resolution, SNR, dynamic range, latency and jitter, point density, range and reflectivity, detection and false alarm rates, angular accuracy, bias and drift. Own sensor commissioning and bring-up, including procedures, automation, qualification tests, diagnostics, and drive improvements for repeatability and throughput. Design and build test setups and test benches. Experience with measurement tools, power supplies, t-slot rail, power distribution, and bracket design preferred. Support testing, evaluation, federation, and continued operation of vehicles, sensors, and vehicle platforms. Support data collection, automation, review, and analysis for bench and on-vehicle tests, for characterization, failure analysis, reliability estimation, systems analysis, and performance modeling. Work directly with Autonomy and Software to turn perception needs into measurable sensor KPIs, and with Hardware on mounts, enclosures, harnessing, power, thermal, and networking. Lead root cause analysis on sensor issues from bring-up, DV, and on-vehicle operation, and close the loop into specs and design changes. Minimum Qualifications BS in Electrical Engineering, Mechanical Engineering, Physics, or related, and 3 or more years of hands-on sensor and engineering experience. Test automation, scripting, and data analysis experience. Field of view and coverage analysis experience, including geometric modeling of sensor placement on a vehicle or robot. Experience with at least two of camera, lidar, radar, or INS/GNSS. Strong grasp of the underlying physics: optics and photometry, lidar range equation and reflectivity, radar RCS and antenna patterns, inertial error models and GNSS/INS fusion behavior. Proven cross-functional collaboration with autonomy, perception, software, and hardware teams. Fluent in Python for test automation and data analysis. Comfortable on a vehicle and in the shop Experience writing test reports and procedures someone else can execute. Preferred Qualifications Prior experience at an AV, robotaxi, autonomous trucking, or ADAS program at an OEM or Tier 1. Commissioned sensor suites across multiple vehicle builds or program phases. Took a sensor from evaluation through supplier qualification onto a production vehicle. Heavy-duty truck or large articulated platform experience. Working knowledge of, GMSL, Automotive Ethernet, CAN/CAN FD, and PTP. Sensor modeling or simulation for placement trade studies. Exposure to functional safety and SOTIF as applied to sensor performance and degradation. Compensation Salary ranges are determined by role, level, and location. Within the range, individual pay is determined by additional factors, including qualifications, skills, experience, and location. We also offer competitive equity compensation and benefits. As part of the interview process, we may use Artificial Intelligence (AI) tools to compare your qualifications and experience to the job description. A human reviews all AI output and makes a final hiring decision. Humble Robotics does not rely on the output to make any employment decisions. Some applicants may have a legal right to opt-out of the use of AI as part of our interview process. Contact to exercise this right or if you have further questions on the use of AI tools in our hiring process. Humble Robotics is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, gender, age, religion, disability, sexual orientation, veteran status, marital status or any other characteristics protected by law. Humble Robotics will consider qualified applicants with arrest and conviction records in a manner consistent with local ordinances. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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

Job Description Job Description Why Flux Flux is taking the hard out of hardware. To do this, we're building the world's first AI hardware engineer. Founded in 2019, our platform enables anyone to go from idea to manufacturable board using nothing more than a natural language prompt. This democratizes a process that has historically required years of specialized expertise. We're going after a $15B+ electronic design automation market, backed by 8VC, Bain Capital Ventures, Liquid 2 Ventures, Outsiders Fund, Figma board member John Lilly, and GitHub founder Tom Preston-Werner. In February 2026, we closed a total of $37M in funding to accelerate that mission. What happens when we unlock the ability for anyone to make hardware? We fundamentally reshape the world. That's our mission, and we're just getting started. The Role We're looking for an experienced electrical engineering leader who will own the hardware design practices and guiding principles of our platform. You'll steer the evolution of our ECAD tool's core capabilities as well as the correctness of our AI Hardware Engineer's system knowledge and design approach. You'll actively partner with product leadership to shape and prioritize AI capability development, evaluation frameworks, and in developing scaled approaches to guide our community to successful PCB projects. In this role, you'll grow our existing Hardware Design function and team. This is a high impact, multidisciplinary role for someone who has experience building complex electronics that shipped at scale (e.g., smartphones, wearables, high performance compute, networking, robotics) and loves translating real world engineering constraints into powerful tools and AI behaviors. What you'll do Drive ECAD feature design & specs - Craft product requirements for core ECAD behaviors across placement/routing, constraints management, stackup, impedance control, DRC/DFM, manufacturing outputs, and prototyping workflows. Co-author specs, validate by running dogfooding initiatives, beta programs, and scaled user feedback. Be the design partner to AI/ML - Teach the world's first AI hardware engineer how to design successful products. Define best practices, guardrails, and evaluation harnesses; curate datasets; review AI generated designs; create the AI expertise that will help more people build successful hardware on their first production run, without releasing the magic smoke. Build out the Hardware Design function - Start as a hands on manager with two existing reports. Over time, refine the team's core responsibilities, and build a larger team that produces reference designs, demos, product specs, training, and field feedback loops. Develop real hardware - Lead quick turn-around prototypes (from schematic to bring up) that exercise product/AI capabilities. Instrument designs for SI/PI and power/thermal validation; close the loop with data. Amplify user insight - Adopt ownership and improve upon current user experience signals, feedback loops, and channeling user input into our iterative product design. Strategically invest in deeper customer relationships. Champion the user's voice in cross functional forums. Partner closely with our software engineering department in ensuring AI evaluations are reflective of real-world user requirements. Product - Be the "voice of the customer" within the organization, addressing vision, strategy, research & discovery, prioritization and cross-functional leadership. What you'll bring Deep EE breadth + depth with real products in the field. Comfortable spanning: RF & wireless: from sub GHz to mmWave; matching, filtering, antenna/feed layout. EMI/EMC & ESD: design for compliance, grounding/return paths, shielding, filtering. Power electronics: DC DC (buck/boost), PMICs, PoE, motor/actuator control, power sequencing, efficiency/thermal trade offs. Analog & mixed signal: sensor interfaces, data converters, low noise design. High speed digital: DDRx, PCIe/SerDes, USB C/USB4, MIPI, Ethernet (1G-25G+); timing, skew, and equalization considerations. SI/PI: signal/power integrity analysis, decoupling strategies, return path control. PCB/stackup expertise: material selection and stackup definition , controlled impedance , differential pair tuning & length matching , via strategies (blind/buried, microvia, backdrill), HDI (high density interconnect) , panelization, and build rules with fabs/EMS. DFM/DFT & manufacturing : hands on bring up and debug, test coverage, fixture definition; tight collaboration with CMs/ODMs. Tooling fluency: meaningful time in multiple ECADs (e.g., Altium, Cadence Allegro/OrCAD, Mentor Xpedition, KiCad, Zuken) and experience with simulation tools (SPICE, SI/PI such as ADS/HyperLynx/SIwave ; 3D EM such as HFSS), plus lab instrumentation (oscilloscope, VNA, logic analyzer, power analyzer). Product sense & communication: ability to turn messy user needs into simple workflows; excellent written specs, diagrams, and presentations; confident with senior leadership and deep dive technical reviews. Leadership at multiple altitudes: thrive as both a hands on engineer and a manager; co-develop core ECAD product strategy. Hire, mentor, and scale processes while staying close to the work. Preferred qualifications Experience in a larger technical org (e.g., hardware product management or lead EE for critical subsystems at a world class company) with a track record of shipping at scale. On the ground factory and test, mass production, and quality/yield optimization experience. Actively participating in builds and carrying key responsibilities to realize designs at scale. Prior design partner or customer facing role (product management, applications, FAEs, field engineering, or cross functional liaison) that turned feedback into product wins. Hands on across ECAD platforms ; passion for great engineering tools and workflows. Practical exposure to AI/ML (prompting/evaluation, data curation/labeling, or integrating ML assisted design tools). Benefits & package Competitive salary and meaningful equity, plus comprehensive benefits. Title/level will match experience and impact. How to apply Send a your resume, a quick cover letter, and any links to public designs or talks. Email: Subject: Head of Hardware Design - Your Name Flux is an equal opportunity employer. We are committed to providing equal employment opportunities to all qualified individuals and do not discriminate on the basis of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable federal, state, or local law. All employment decisions are based on qualifications, merit, and business need. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Compensation Range: $245K - $270K

Job Description Job Description SQA (Software Quality Assurance) Lead QUALITY ENGINEERING FULL-TIME ON-SITE - SANTA CLARA, CA We are looking for a hands-on SQA (Software Quality Assurance) Lead to anchor quality across the SiFly Aviation software stack and grow quality engineering into a first-class discipline as we scale toward production flight. This is a senior, deeply technical role: you will set the testing strategy, build the automation and end-to-end suites that gate our releases, and mentor a small, growing QA team spanning Turkey and Santa Clara - while staying close enough to the code and the aircraft to write and debug tests yourself. About SiFly Aviation At SiFly, we're building a new category of aircraft: vertical-takeoff, long-endurance drones that deliver helicopter-level performance at drone economics. After thousands of flight tests and years of engineering, our NDAA-compliant platform flies more than 2 hours in hover or 3 hours in forward flight on a single charge - matching the capability of traditional helicopters at a fraction of their cost and operational burden. We merge aerial robotics, perception, and onboard intelligence to cut complexity and minimize human intervention, and our unique approach to communications and networking unlocks remote operations from day one. It's an ambitious mission, and we're a small team that moves fast. The Role You will own how SiFly Aviation decides a build is ready to fly. Today one QA engineer covers end-to-end system testing; you will take that foundation and turn it into a coherent quality practice - a shared definition of "release-ready," automated regression that runs on every change, and a simulation-and-bench workflow that lets any engineer trust a green result. You will do this primarily as a builder: designing and writing tests, standing up the infrastructure that runs them, and triaging the failures - while setting the standards and mentoring the engineers who join you. The team is intentionally split by strength: one engineer focused on QA test-automation development and another on manual, end-to-end test execution, across Turkey and Santa Clara. You will shape how those roles work together, review their test plans, and grow the group into an organization that scales with the product. What You'll Do Own the QA strategy end-to-end. Define what "release-ready" means for the Q12, set pass/fail criteria and release gates, and make quality a measurable, non-negotiable part of the development and release workflow rather than a step at the end. Build the automated regression suites. Design and write automated tests covering flight software, autonomy features, MAVLink interfaces, camera and video pipelines (H.264/HEVC, WHIP/WHEP), the detect-and-avoid stack, telemetry, and operator workflows - and keep them fast and trustworthy enough to run on every change. Make simulation and bench testing first-class. Own the SITL/HITL test workflow and keep it faithful to real aircraft behavior; build scenario-based tests for takeoff and landing, mission execution, failsafes, detect-and-avoid, GPS degradation, sensor noise, comms delays, and the long tail of edge cases. Stand up the test infrastructure. Wire QA into CI so tests trigger automatically, run nightly and batch validation jobs, and deploy simulator and test instances locally and on remote servers so any engineer can run a meaningful test without booking aircraft time. Validate the full connected system. Test multi-link connectivity and failover (5G, Wi-Fi 6, Wi-Fi HaLow), OTA update and rollback via Mender, cloud/backend integration over MQTT and REST, and the Pilot, Crew, HQ, and Mobile apps against the embedded platform. Close the loop between real flights and the lab. Capture and organize logs, MAVLink and telemetry, video, and perception outputs; reproduce bugs seen in real flights as automated regression tests; and quantify where simulation diverges from reality in dynamics, sensors, timing, and control response. Make results legible. Build dashboards, log summaries, failure artifacts, and reports so a release lead can trust a green build - and so failures route quickly to the right owner. Lead and grow the team. Mentor the automation- and manual-focused QA engineers across Turkey and Santa Clara, review their test plans, set standards and coding practices for the group, and help hire as the QA organization expands. Partner across engineering. Work closely with flight software, embedded platform, autonomy, perception, and applications teams so QA is part of everyday development, not a downstream gate. Required Experience Minimum 5+ years of professional experience in software quality assurance, test engineering, or a closely related field. A bachelor's degree or higher in a related program - Electrical Engineering, Computer Engineering, Computer Science, or similar. Senior QA / test engineering experience, with a track record of building automated test systems, CI pipelines, or QA infrastructure for complex software - and setting the practices around them. Strong Python for test automation, log analysis, orchestration, and tooling. Comfortable owning quality across a distributed system: debugging across processes, containers, networks, and hardware/software boundaries on Linux. Hands-on experience with MAVLink, ROS, or comparable autopilot/robotics stacks - or the ability to demonstrate you can get there quickly. Direct experience with SITL, HITL, hardware-in-the-loop, or hardware/software integration testing of robotic or embedded systems. Experience mentoring engineers, reviewing test plans, or otherwise leading quality work - formally or informally - for a team. Working knowledge of aircraft, robotics, or embedded behavior - sensors, control loops, coordinate frames, and timing/synchronization - enough to know when a test result is suspicious. Comfortable deploying and operating test services on remote machines and servers. Advanced English language skills and strong written and verbal communication - able to coordinate clearly across a distributed team in Turkey and Santa Clara. Nice to Have Isaac Sim, Gazebo, AirSim, or game-engine-based simulators. Camera simulation, RTSP/GStreamer or WebRTC video testing. Docker and cloud-based CI/CD. OTA testing (Mender) and Yocto/embedded Linux. XRCE-DDS or DDS-based robotics middleware. Prior sim-to-real correlation work. QA dashboards, log viewers, or failure-triage tooling. Familiarity with UAV regulatory context (Remote ID, ADS-B). Experience standing up or leading a QA function from an early stage. A valid SHGM (Turkish DGCA) remote-pilot licence for the Q12's İHA weight class - İHA1 (4-25 kg) or İHA2 (25-150 kg) depending on take-off weight - ideally with beyond-visual-line-of-sight (BVLOS) operational authorization. What Success Looks Like SiFly has a real QA organization with clear ownership - and a shared, trusted definition of what "ready to fly" means. Simulation and end-to-end tests gate every release, not just nightly, and any engineer can spin up a representative test locally or remotely in minutes. Field bugs land in the regression suite within days, not quarters, and stay fixed. Detect-and-avoid scenarios, camera and video workflows, connectivity failover, OTA updates, and operator actions are exercised safely and repeatably before any real flight. Flight logs, telemetry, video, and simulation outputs are stored, searchable, and replayable from one place. The QA engineers you lead are growing, unblocked, and trusted by the rest of engineering - and the team treats quality as something they rely on, not a demo. Compensation & Logistics Gross salary range: $160K-$180K. Salaries are paid in USD. Job type: Remote contract-based employment. Location: On-site position in Santa Clara, CA - working closely with our Europe team.

Job Description The pay range is $73,000.00 - $132,000.00 Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at About us: Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here. A role in Supply Chain means being on the very front lines of getting product to the guest as fast as possible-a critical differentiator and one of the most essential functions within Logistics. Whether it's through focusing on regional or upstream distribution centers or import warehouses, you'll have a chance to positively impact thousands of team members and Target guests worldwide. As a Senior Systems Engineer, you will be a key technical subject matter expert that ensures high equipment availability and optimizes system performance. You will use preventive and predictive maintenance processes, rapidly troubleshoot equipment breakdowns, and quickly restore equipment to service in support of successful operation of the supply chain facility. You will work with other Target engineers and operational partners to optimize the performance and flow of the material handling equipment and will lead building automation, continuous improvement, and new installation initiatives. You will serve as an escalated support resource during downtime events, ensuring proper processes and training procedures are implemented as part of root cause analysis, and you will proactively monitor the overall health of the building's material handling equipment. You will serve as an expert who understands material flow optimization, system controls logic, and facilitates and trains effective troubleshooting techniques. As the highly experienced subject matter expert, you will proactively monitor and maintain the buildings systems, maintaining expertise around all electrical, mechanical and control system communication aspects of Material Handling Equipment (MHE) on site, including conveyor systems, sortation, robotics, and Automated Storage and Retrieval Systems (AS/RS). You will use diagnostic software and tools to collect and analyze data to identify trends and recommend improvements to the building automation. You will conduct technical interviews for internal and external technician candidates, evaluate technical skills and abilities, and train and coach internal technicians. You will support training plan development and progress follow up. It is expected that you maintain thorough knowledge and facilitate site training on appropriate safety procedures and use Personal Protective Equipment (PPE) while maintaining equipment (Lock Out/Tag Out, Arc Flash, etc.), and ensure a safe work environment by eliminating potential equipment safety hazards. You should be a self-starter, possessing the ability to inspect, maintain, troubleshoot, repair, train, and coach across various resources and scenarios. You will need to manage multiple tasks simultaneously, and work well under pressure. Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs. About you: • Two or four-year Degree in Electrical or Controls Engineering or equivalent degree / experience • Available to work all days and shifts (24 hours a day, 7 days a week operation, including holidays) • Industrial electrical hands-on experience and troubleshooting, including 480V 3-phase, 110 VAC, and 24VDC systems • Experience with installing and maintaining many types of software and hardware • Strong organization and problem solving skills with a drive for results and the ability to handle multiple tasks and teams Extensive experience in the following areas: • Automated conveyor systems and controls • Work order management • Preventive/predictive maintenance procedures • Blueprint and schematic reading • Industrial Electrical • HMI interfaces and programming • Industrial Controls • Industrial Electronics • Programmable Logic Control (PLC) programs • Server based controls • National Electrical Code (NEC) Benefits Eligibility Please paste this url into your preferred browser to learn about benefits eligibility for this role: Americans with Disabilities Act (ADA) In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to . Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.