11 jobs found

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Senior Emerging Tech (Physical AI, Robotics and Supply Chain) Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives-with a specialized focus on Physical AI, robotics, simulation, and supply chain transformation including warehousing and assembly/production line environments. You'll drive customer success by providing technical expertise and best practices throughout the project lifecycle. You have built a deep solutions implementation and delivery understanding of Physical AI's building blocks-AI for Automation, digital twin, robotics, edge solutions, simulation, and autonomous systems-as well as supply chain technologies. Proficient in architecting and deploying autonomous systems, robotics, simulation, digital twins, and industrial AI workloads on AWS, you'll provide a secure, reliable, and scalable Physical AI infrastructure for innovation by our customers. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Key job responsibilities As an experienced technology professional, you will be responsible for: - Architecting and delivering Physical AI solutions on AWS-including digital twin environments, discrete event simulation, robotic policy training pipelines, edge inference, and autonomous system deployments for manufacturing, logistics, and warehousing customers - Engaging with customers end-to-end: from pre-sales discovery and requirements gathering through solution design, implementation, testing, and production handoff - Designing and implementing simulation and synthetic data pipelines using tools such as NVIDIA Omniverse, Isaac Sim, and AWS-native services (SageMaker, IoT, Greengrass, VAMS) to train and validate robotic and autonomous systems - Providing subject matter expertise on warehousing, fulfillment, and production line transformation-conducting on-site assessments, identifying automation opportunities, and building customer trust through demonstrated domain knowledge - Developing packaged offerings, reusable delivery accelerators, reference architectures, and training materials in the supply chain and Physical AI space to support delivery teams and go-to-market motions A day in the life This team partners with our customers to increase their shareholder value and assist in disrupting their business models. We enable our customers to drive competitive advantage by enhancing their digital capabilities that will enable them to innovate on new products and services. Our key focus areas include: Emerging technologies including supply chain innovation, high-performance computing (HPC), quantum computing, spatial computing, robotics, blockchain, IoT, end-user computing, media solutions, and other innovative technologies that represent strategic innovation areas for our customers. About the team You'll join the ProServe Emerging Tech practice, a team focused on helping customers across manufacturing, logistics, and supply chain industries adopt Physical AI, robotics, and simulation technologies on AWS. We work directly with customers to solve real-world automation problems-from warehouse optimization to production line transformation-and you'll collaborate with cross-functional teams including solution architects, data scientists, and partner engineers. Our team values hands-on builders who are curious about the intersection of physical and digital systems, and we're committed to creating an environment where every team member can grow, contribute, and innovate. ABOUT AWS: Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. 10046 BASIC QUALIFICATIONS- Bachelor's degree in computer science, engineering, mathematics or equivalent - 5+ years of cloud architecture and solution implementation experience - Experience in a customer-facing role, engaging with customer executives, technologists or partners to solve business problems with advanced technologies - 7+ years of experience building solutions for IoT, robotics, simulation, autonomous systems, or edge computing in industrial or supply chain environments - 3+ years of experience implementing Physical AI or robotics projects including at least one of: digital twin environments, robotic policy training, discrete event simulation, or autonomous vehicle/system deployment PREFERRED QUALIFICATIONS- Experience communicating technical concepts to a non-technical audience - AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation) - AWS Professional level certification or graduate degree in robotics, engineering, computer science, or related field - Experience architecting Physical AI systems using simulation platforms (NVIDIA Omniverse, Isaac Sim) and AWS services (SageMaker, IoT Greengrass, VAMS) for robotic model training and digital twin deployment - Experience with generative AI and agentic workflows applied to industrial automation, including architecture design, model integration, and synthetic data generation - Familiarity with OpenUSD (Universal Scene Description), computer vision, and robotics safety engineering standards Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental . click apply for full job details

Job Description Job Description We are looking for a Deployment Engineer to help us deliver our smart automation solutions into customer hands. OSARO combines its software and advanced machine learning with the services and industry expertise needed to deliver improved sight and skill to existing robot applications, while enabling new applications for the factories and warehouses of the future. Our products endow industrial robots with the level of autonomy needed to perform an extensive variety of pick and place tasks and integrate tightly with our customers' complex software environments. As a Deployment Engineer, your focus is on the customer. You will intimately understand OSARO's technology and the customer's needs/environment so that we can design and implement the best solution for the customer. You will be involved in all stages of customer development, from generating the best-fit solution, to planning the implementation, to supporting deployments remotely and on-site. You will collaborate with all Engineering teams to learn everything there is to know about the hardware, deep learning, computer vision, motion planning, robotic control, etc. components of our product so that you are able to solve all manner of technical problems that might arise. We value candidates who are passionate about what they build, feel a strong sense of ownership over their work, and love being continually challenged. You are someone who cares deeply about your team so you are both direct and believe in doing what you say. What You'll be Doing The Deployment Engineer will assist in onsite deployment operations and serve as an on-site OSARO presence from the start of deployment until the system is operating in production Perform on-site hardware, software, controls, and networking commissioning of robotic systems Serve as on-site project manager to coordinate various tasks and resources while working with HQ to prioritize issues and handle client communications Develop an understanding of a customer's existing operations and workflows to ensure our systems fit into all customer operational processes Log all site issues found on-site into the tracking system for teams in engineering, deployment, and support. Troubleshoot said issues. Ensure all system performance expectations are achieved prior to conducting Site Acceptance Testing (SAT) and training with the customer Perform ongoing preventative maintenance and upgrades for the customer Travel extensively, between 75% and 100% Experience and Skills You'll Need BS in Engineering or other technical degree, preferably in Industrial Engineering, Systems Engineering, Supply Chain Management, Computer Science or Mechanical Engineering Hands-on experience with industrial robot controllers (e.g., FANUC, Yaskawa) In depth knowledge and experience with mechanical and software based diagnostic tools Able to navigate and use a Linux environment Exceptional attention to detail. Critical thinking and problem solving skills Able to thrive in a fast-paced environment with tight timelines and high-energy culture Excellent written and verbal communication skills, able to clearly articulate project information to any level of the company Ability to travel 75%-100% of each month for this role Bonus if You Have Experience in either system, electrical or mechanical design in the fields of Factory Automation and Warehouse Automation Experience in system and component design with CAD tools Experience with simulation tools for offline robot programming and layout considerations Exposure to PLC programming (Siemens, Allen-Bradley, Mitsubishi, Omron, Keyence, CODESYS, etc) and control logic Exposure to Rust / Python Programming Language Exposure to Rest Internet Protocol Experience with generating technical documents Actual compensation is based on various factors, including but not limited to job-related skills, and experience. In addition to a base salary, this role is also eligible for benefits and equity. More About OSARO OSARO designs and deploys robotics automation solutions in the materials handling industry using software-defined robotics. OSARO automation systems bring together advanced machine learning for object recognition with powerful control software that adapts to customer data and environments. The company's robotic piece-picking solution is optimized for grocery, cosmetic, and e-commerce markets, where key challenges include high SKU inventories, complex packaging, and fragile items requiring delicate handling. OSARO Solutions have been validated by the world's leading retailers, system integrators, and third-party logistic companies. Some of Silicon Valley's leading investors, including Peter Thiel, Jerry Yang and Scott Banister have backed OSARO. Our mission is to make robots smarter for a smarter supply chain, and our vision is to build the future of automation. The challenge of building brains for robots on an industrial scale is matched only by our excitement and drive to see the results of our efforts operating in and interacting in real warehouses, factories & fulfillment centers. We implement state-of-the-art techniques but constantly strive to build the simplest possible solution. OSARO is technique agnostic and always focused on the goal. We regularly review academic literature and techniques, while steering clear of hype. We're focused on delighting our customers with systems that work like magic. We have a highly international team made up of expert machine learning practitioners and dedicated software and hardware engineers which matches well with the global nature of our business. We are naturally curious, love healthy debate, and respect varying points of view. At OSARO, we strive to be champions for equality. We believe we can serve as a model for diversity in the tech industry by emphasizing policies of nondiscrimination and inclusion at every step. We are an equal opportunity employer who offers Health, dental, vision, and commuter benefits Generous, flexible vacation time Excellent paid parental leave policy with the option for additional reduced and unpaid leave The chance to work with robots in a dog friendly building! The above full-time position is available immediately. You should be willing to work in San Francisco and willing to travel domestically and internationally. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Shield AI 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 Deployment Engineer Location: San Francisco, CA or Remote About the Opportunity TRC Talent Solutions is actively partnering with a cutting-edge technology company to find a highly skilled, road-warrior Deployment Engineer. If you are a hands-on problem solver who thrives in the field and wants to be at the forefront of the robotics revolution, this is your chance to take ownership of complex, high-visibility integration projects across the country. About Our Client Our client is a rapidly growing, seed-stage robotics software startup that develops advanced machine learning and computer vision technology. Instead of building the hardware, they build the brainsthe sophisticated software that empowers industrial robots to perform complex pick-and-place automation in warehouse and industrial environments. This is a ground-floor opportunity to join a highly innovative team, own the field deployments for Fortune 500 customers, and directly impact the future of supply chain logistics. Key Responsibilities Support on-site deployment and commissioning of robotic systems, including hardware, software, controls, and networking components. Serve as the primary on-site representative and technical lead during deployments and customer go-lives. Coordinate deployment activities, communicate project status, and work closely with engineering and support teams to resolve issues. Troubleshoot system, hardware, software, and networking problems in the field. Document, track, and escalate issues while ensuring timely resolution. Verify system performance and support customer acceptance testing (SAT) and training. Perform preventative maintenance, upgrades, and ongoing customer support. Travel extensively to customer sites nationwide (75100% travel). Qualifications Bachelors degree in Engineering, Computer Science, Supply Chain, or a related technical field. Experience working with industrial robots, automation systems, or related technologies. Strong troubleshooting and diagnostic skills across mechanical, electrical, software, and networking systems. Comfortable working in Linux environments. Excellent communication, organization, and problem-solving abilities. Ability to manage multiple priorities in a fast-paced, customer-facing environment. Preferred Qualifications Experience with warehouse or factory automation systems. Exposure to PLCs, CAD software, robot programming, or controls engineering. Familiarity with Python, REST APIs, or technical documentation. Hands-on experience with FANUC, Yaskawa, or similar articulated robotic platforms. TRC Talent Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected status.

Job Description Job Description About the Role Join a physical AI and robotics team deploying robotics systems in customer facilities. You will own deployments from data collection and model tuning through production troubleshooting, helping operational insights improve the underlying models. What You'll Do Drive deployment cycles, including data collection, model fine-tuning, physical system setup, and production monitoring. Diagnose and patch hardware, software, and perception failures in field and production environments. Collect operational data and failure modes to inform foundation model training and architecture. Troubleshoot integrations across perception hardware, compute stacks, and edge deployment environments. Travel to customer sites across the United States, adapting to changing deployment schedules. What We're Looking For Two to eight years of hands-on experience deploying robotics or automation systems in factory, warehouse, or logistics settings. Experience in forward deployed engineering, field engineering, ML or AI operations, robotics deployment, or customer-facing technical work. Practical debugging experience with perception hardware such as optical cameras, depth sensors, tactile sensors, or pressure sensors. Some exposure to Vision-Language-Action models or learned robot policies; academic or lab experience is relevant. Comfort debugging hardware and software integrations, collecting data, and owning production fixes in a fast-moving environment. Experience with GPU compute stacks and edge deployment is useful. Korean language proficiency is also helpful. Willingness to travel 50% to 75% and work from the San Francisco office about three days per week. Must have US work authorization or be eligible for an H-1B transfer. New visa sponsorship is not available. Compensation & Benefits Base salary is $180,000 to $220,000 annually, with an early-stage equity grant and medical, dental, and vision coverage. Location Hybrid in San Francisco, California, with frequent travel to customer deployment sites across the United States.

Job Description Job Description Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers-tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential. About the Role As a Senior Release Manager at Agility Robotics, you'll own the end-to-end release process for our robot platform, ensuring seamless coordination across software, firmware, hardware, and field operations teams. You will triage the issues that decide whether a release ships, build the automation that makes releases repeatable, and instrument the release path so every release is measurable, observable, and reversible. This role is ideal for someone who thrives at the intersection of technical execution and cross-functional leadership. You'll help establish release management as a capability that enables Agility Robotics to ship confidently and frequently while maintaining operational excellence in deployed customer environments. About the WorkRelease Planning & Execution Define release scope, objectives, and timelines in collaboration with Product, Engineering, and Field Operations teams Plan and run the release calendar for robot software, firmware, and cloud services, including major, minor, patch, and hotfix releases Manage release cadence to balance rapid innovation with stability requirements for production deployments Define entry and exit criteria, run release readiness reviews, and lead go/no-go decisions based on test and quality results from QA and V&V teams Run blameless post-release reviews and drive root-cause follow-up Release Process & Configuration Management Establish and enforce standardized release processes including change control, version management, and release branching Maintain configuration integrity across robot platforms and hardware variants Define and maintain release policies, documentation standards, and traceability requirements so every release can be tied to what changed and who approved it Partnership with the Issue Management team to ensure we have a release vehicle for upcoming issues that affect the fleet. System Integration & Validation Partner with Systems Engineering and Test teams to develop comprehensive validation strategies for each release Ensure thorough integration testing across hardware-software-AI subsystems to validate functionality, performance, safety, and reliability Coordinate field readiness assessments including deployment scenario validation and customer acceptance criteria Drive cross-functional collaboration to resolve defects, integration issues, and regression failures Release Improvements Introduce release train models and standardized pipelines so releases are predictable and low-touch Continuously remove manual steps, and measure the time and errors they cost and provide feedback to the Release Engineering team on how to make builds and releases more efficient. Field Deployment & Operations Support Plan staged OTA rollouts: internal fleet, canary sites, rollout rings, then general availability Establish rollback criteria, automated rollback hooks, and contingency plans for production environments Coordinate customer-site schedules and acceptance criteria to minimize operational disruption Maintain incident playbooks and support incident response and post-deployment issue resolution Release Instrumentation & Metrics Establish and track key release metrics (cycle time, deployment frequency, change failure rate, defect escape rate, rollback frequency, update success rate, time to restore) Instrument CI/CD, signing, artifact, and OTA pipelines so every stage is timed and traceable Tag releases in telemetry, logging, and tracing systems so faults, crashes, and regressions map to a specific build Build and maintain dashboards and alerts for engineering, product, operations, and support About YouExperience 5+ years of release management experience for complex integrated systems involving hardware, firmware, and software Proven track record managing releases in robotics, autonomous systems, automotive, aerospace, or similar hardware-software domains Experience coordinating cross-functional teams through complex product development and deployment cycles Demonstrated ability to operate effectively in fast-paced, high-growth environments with evolving requirements Technical Skills Hands-on experience building release automation, CI/CD pipelines, and deployment orchestration (e.g., Jenkins, GitLab CI, GitHub Actions, Buildkite) Strong understanding of the software development lifecycle (SDLC), configuration management, and version control best practices Experience with version control (Git) and issue tracking (Jira, GitHub), including severity-based triage and release criteria Experience instrumenting delivery and fleet health with observability tools (e.g., Prometheus/Grafana, OpenTelemetry, Foxglove, Datadog, Sentry) Proficiency in scripting languages (Python, Bash/Shell) for automation and data analysis Domain Knowledge OTA and fleet deployment: Experience with OTA updates, versioning, canary and ring-based rollouts, rollback design, and fleet state tracking Understanding of release dependencies across software, firmware, and hardware variants Familiarity with release health metrics and defining SLIs/SLOs for deployed devices Mindset & Traits Ownership mentality - takes initiative, drives closure, and delivers results Strong technical communication skills - able to translate between engineering teams and business stakeholders Proven ability to influence without authority and drive alignment across diverse teams Data-driven decision-making approach with strong analytical and problem-solving capabilities Resourceful and comfortable with ambiguity- brings clarity through structure and action Bonus Points Experience in robotics, autonomous vehicles, or advanced manufacturing automation Familiarity with ROS 2 and its build and packaging tooling Experience implementing release train models in hardware-software systems Experience with automated release note generation and artifact management Experience with artifact signing and secure update chains Experience with containerization (Docker) Experience triaging fleet issues and driving root-cause analysis with software teams Why Join Agility Robotics? Define release management practices for a real-world robotics platform Direct impact on customer success through reliable, high-quality product releases Work at the cutting edge of robotics in a fast-moving, highly collaborative environment where your contributions will have immediate impact Shape operational excellence: Help build release automation and deployment processes from the ground up Professional growth: Work with world-class robotics and engineering talent Location This is a fully remote role with the option to work hybrid if a commutable distance from our Salem, OR, Pittsburgh, PA, or Fremont, CA offices. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future. Anticipated Base Salary Range $128,000-$199,000 USD In addition to base pay, our competitive total rewards package consists of the following for full-time employees: 401(k) Plan: Includes a 6% company match. Equity: Company stock options. Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees. Benefit Start Date: Eligible for benefits on your first day of employment. Well-Being Support: Employee Assistance Program (EAP). Time Off: Exempt Employees: Flexible, unlimited PTO and 12 company holidays, including a winter shutdown. Non-Exempt Employees: 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually. On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations. Parental Leave: Generous paid parental leave programs. Work Environment: A culture that supports flexible work arrangements. Growth Opportunities: Professional development and tuition reimbursement programs. Relocation Assistance: Provided for eligible roles. Annual Discretionary Bonus: Provided for eligible roles. All of our roles are U.S.-based. Applicants must have current authorization to work in the United States. Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices . click apply for full job details

Job Description Job Description Job Title: Industrial Manufacturing Systems Engineer Industry: Advanced Manufacturing / Industrial Engineering Location (City, State): Forney, TX Assignment Type: Direct Hire Pay: $85-100K Work Schedule: Full-Time Monday-Friday Benefits: This position is eligible for medical, dental, vision, and 401(k). About The Company: Our client is a growing manufacturer focused on operational excellence, automation, and continuous improvement within a highly technical production environment. They are investing in advanced manufacturing technologies and are seeking an engineer who can help optimize systems, improve plant performance, and support future growth initiatives. Job Description: The Industrial Manufacturing Systems Engineer will be responsible for evaluating manufacturing operations, identifying improvement opportunities, and implementing solutions that enhance efficiency, quality, and productivity. This role serves as a key resource for manufacturing systems, automation initiatives, process optimization, and data-driven decision making across the facility. Key Responsibilities: Analyze production workflows and operational performance to identify improvement opportunities. Develop and implement solutions that increase efficiency, reduce waste, and improve process reliability. Utilize manufacturing data, analytics, and modeling tools to support operational decision-making. Lead continuous improvement initiatives using Lean Manufacturing and Six Sigma methodologies. Serve as a technical resource for manufacturing execution, maintenance, quality, warehouse, and energy management systems. Partner with operations, maintenance, engineering, quality, and IT teams to drive process enhancements. Support the implementation and integration of automation technologies and digital manufacturing solutions. Optimize material flow systems, including automated guided vehicle (AGV) operations and related technologies. Create and maintain process maps, value stream analyses, and facility layout plans. Establish and track key performance indicators (KPIs) to measure operational effectiveness. Support asset management and equipment tracking initiatives. Ensure manufacturing systems and processes comply with applicable industry standards and best practices. Collaborate with domestic and international stakeholders on system improvements and future-state manufacturing projects. Participate in additional engineering and continuous improvement activities as needed. Qualifications: Bachelor's degree in Industrial Engineering, Manufacturing Engineering, Electrical Engineering, or a related technical discipline. 5+ years of experience improving manufacturing processes and implementing operational system solutions. 3+ years of direct Industrial or Manufacturing Engineering experience. Hands-on experience with manufacturing technologies such as MES, SCADA, EAM, WMS, QMS, EMS, or related platforms. Experience creating value stream maps, process flow documentation, and facility layouts. Background working in highly automated production environments. Strong analytical, troubleshooting, and problem-solving skills. Excellent communication and collaboration abilities. Ability to effectively manage multiple projects and priorities. Additional Details: Experience within battery manufacturing, automotive manufacturing, electronics manufacturing, or other high-volume production environments is strongly preferred. Exposure to robotics, automation, smart factory technologies, and Industry 4.0 initiatives is highly desirable. Candidates should be comfortable working cross-functionally and driving change in a fast-paced manufacturing setting. Perks: Opportunity to influence large-scale manufacturing improvements Exposure to advanced automation and emerging technologies Career growth within a rapidly expanding organization Collaborative engineering and operations environment High-impact role with visibility across multiple departments Ongoing professional development opportunities