Project Engineer - Vision Systems (Memphis, Arkansas)

About Maneva  Maneva, a startup founded by an ex-Google Deepmind researcher, is an AI service provider revolutionizing manufacturing operations with cutting-edge AI solutions for autonomous factory operation and optimization. Our solution generates AI-powered actions and insights using off-the-shelf hardware or existing vision systems for real-impact manufacturing problems in products and equipment inspection, production efficiency, safety, and more.  Requirements Role & Responsibilities On-Premise Infrastructure Architecture: Design and implement robust software infrastructure for deploying vision-based AI applications directly on manufacturing floor devices and edge computing platforms. Production Software Development: Build and maintain production-grade software applications on Linux-based edge devices, including AI inference pipelines, image processing workflows, and system monitoring solutions. Reliable Operations Management: Implement comprehensive monitoring, logging, alerting, and error recovery systems to ensure high availability and reliability of deployed AI systems in industrial manufacturing environments. Vision System Integration: Develop software interfaces for AI vision systems addressing manufacturing quality control, productivity optimization, safety monitoring, and equipment uptime challenges. Data Platform Development: Contribute to building AI-powered platforms that provide data analysis for connected facility operations, including data collection, processing, and analytics pipelines. IoT & Fleet Management: Build and support device management systems for on-premise AI deployments, including remote monitoring, configuration management, and fleet-wide software orchestration across manufacturing sites. OTA Deployment Systems: Design and implement over-the-air software update mechanisms for distributed on-premise devices, ensuring safe and reliable remote updates with minimal production disruption. Industrial Integration: Collaborate with hardware teams to integrate AI applications with PLCs, existing industrial automation infrastructure, and manufacturing execution systems. Performance Optimization: Profile and optimize software performance for resource-constrained edge environments and real-time processing requirements in manufacturing settings. Must-Have Strong proficiency in Python for production software development and system architecture Proven experience architecting and building successful infrastructure solutions that ensure uptime and reliability of real-time on-premise applications 3–5 years of experience in building production-grade software systems, preferably for industrial or manufacturing environments Cloud computing experience with major platforms (AWS, Azure, GCP) for hybrid edge-cloud deployments and infrastructure management Hands-on experience with Linux systems, command line operations, and system administration for edge computing platforms Experience with containerization technologies (Docker) and deployment of applications in production environments Understanding of computer vision workflows and AI inference pipelines for manufacturing applications Knowledge of application reliability principles: monitoring, alerting, graceful degradation, error recovery, and system health management Understanding of manufacturing environments and challenges related to quality control, productivity, safety, and equipment uptime Strong debugging and problem-solving skills in production environments with minimal downtime tolerance Strongly Preferred Full-stack web development experience with TypeScript and React for building operator interfaces and dashboards Experience with IoT protocols and device management for industrial environments (MQTT, HTTP/REST APIs, industrial networking) Experience with over-the-air (OTA) software deployment and update mechanisms for on-premise industrial devices Experience with NVIDIA Jetson or similar edge computing platforms for AI deployment in manufacturing Knowledge of industrial automation protocols (Modbus, Ethernet/IP, OPC-UA) and PLC integration Nice To Have Experience with time-series databases and analytics platforms for manufacturing data (InfluxDB, Grafana, Prometheus) Background in computer vision libraries (OpenCV) and machine learning frameworks (TensorFlow, PyTorch) deployment Familiarity with manufacturing execution systems (MES) and quality management systems Experience with device management platforms for industrial IoT deployments Understanding of cybersecurity best practices for on-premise industrial systems Knowledge of data pipeline architectures for connected facility analytics Experience in food & beverage, CPG, automotive, or packaging manufacturing environments Preferred Candidate Profile On-Premise Deployment Experience: Candidates who have deployed and maintained software systems directly in industrial/manufacturing environments, addressing network constraints, security requirements, and uptime expectations Production Reliability Background: Experience in production systems where downtime has direct business impact (manufacturing, industrial automation, critical infrastructure) Vision/AI Application Deployment: Experience deploying computer vision or AI applications in real-world production environments, with an understanding of model performance, data quality, and system integration challenges Manufacturing Domain Knowledge: Understanding of manufacturing processes, quality control requirements, and operational constraints in production environments Infrastructure Mindset: Candidates who prioritize system architecture, scalability, monitoring, and long-term maintenance—not just feature development Edge Computing Experience: Familiarity with resource-constrained environments, edge device management, and distributed system challenges in industrial settings Benefits Why Join Maneva?  Work with cutting-edge Vision AI & IoT solutions that power autonomous manufacturing, robotics, and industrial automation​.  Opportunity to lead in a fast-growing AI company driving real-world impact in industrial AI adoption​.  Travel opportunities to industrial sites, tech conferences, and research labs.  Collaborate with world-class engineers & AI experts in a dynamic, innovation-driven environment.  Important Notice: Protecting Your Personal Information  We are committed to ensuring the security and privacy of all applicants. Please be aware that our company will never ask for sensitive personal information, via email, phone call or text message. We also do not require payment from applicants for any part of the hiring process.  If you are contacted by someone claiming to represent our company and asking for such information, please do not respond. Instead, report the incident to us immediately at IT-Security@Maneva.ai. 

As a member of the Engineering Team at OnLogic, you will learn some of the rigors and unique design methodologies OnLogic uses to create the world’s most reliable Industrial PCs. You will work alongside Hardware and Design engineers in both lab and digital environments to create schematics, test and validate PCs, and interact with world class lab instrumentation and tools.  In this role, you’ll be responsible for:  Work with computer hardware, creating and modifying schematics and building PCB assemblies Build and test a wide variety of systems spanning the entire OnLogic portfolio and utilize a thorough root cause analysis process to tackle hardware and software issues Collaborate with the Hardware Electrical Engineering team to align on daily goals Participate in validation engineering tasks, ensuring reports are complete, and assisting with the development of new products Support design solutions for new and unique customer opportunities Own a technical project from conception to delivery, including research, design, and implementation, to enhance our product offerings.  The team you will be joining:  Our Engineering team creates our cutting edge industrial computers by finding innovative solutions on a daily basis. The Engineering team's success relies on collaboration, creative thinking and a commitment to being at the forefront of technology. Roles on our Engineering team include, Hardware, Mechanical, Applications and Regulatory. Requirements A junior or senior enrolled in a bachelor’s degree program or a recent college graduate An electrical engineering, computer engineering, or related major Demonstrated ability to learn new processes quickly and efficiently Demonstrated ability to thrive in a fast-paced work environment Available to work up to 40 hours per week during the semester Ability to work in the U.S. without visa sponsorship Satisfactory completion of a background check Who we're looking for: A task-oriented individual with excellent attention to detail Excellent written and verbal communication skills Self-motivated with the ability to solve problems creatively and strategically  Who we are: OnLogic is growing, and we want to give you the same opportunity to grow in your career! We design and manufacture specialized computers and hardware solutions for companies all over the world, helping them to make the seemingly impossible possible. Our computers are designed to work where others would fail, and it's our vision to be the first choice in industrial computing. To make that vision a reality, we've built a team of ambitious problem solvers, guided by the company's core values of Open, Fair, Innovative and Independent. We have an open office, open salaries and strive to be fair and transparent in our decision making. We encourage input and feedback from every member of our team and look to improve ourselves and our business every single day. OnLogic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. To learn more about our values, our mission and what it's like to work at OnLogic, visit www.onlogic.com/careers. Benefits The pay for this co-op is $20/hour, with an up to 40 hour per week commitment during the semester.

Local Baltimore County company is looking for a survey field technician/trainee; experience is helpful but not required. This is an outdoor position and does require walking over uneven terrain, carrying equipment up to 50 pounds, have at least a GED, reliable transportation (6:45AM Start Time), teachable & trustworthy, with good communication skills. This is a full time position; Monday through Friday with the possibility of an occasional Saturday (overtime).

@everyone Hiring: A Lanzhou ramen restaurant is hiring a stir-fry chef, with food and accommodation provided, $5800/month - $6000/month. Must have a work permit. Work 6 days a week, from around 11:00 AM to 10:00 PM. Work location: Orange County. Contact phone: 6269771733 9296267666 WeChat ID: zxm6269771733

Excellence. Innovation. Integrity. Passion. Assistant Engineers work under the direction, guidance, and training of the Chief Engineer to assist in operation, maintenance and repair the vessel’s operating systems: diesel engines, generators, refrigeration, electrical and hydraulic equipment, water making and sanitary equipment, deck machinery, factory equipment, pumps, cooling, and conveyor systems during the portion of their shift scheduled in the engine room. Assistant engineers, under the direction of the Chief Engineer, may maintain the engine room and other logs as required by the company or other agencies. Assistant Engineers also assist in fueling the vessel and transferring fuel onboard. Essential Duties Assistant Engineers must be able to: Work under the direction, guidance, and training of the chief engineer. Assist in operation, maintenance, and repair of the vessel’s operating systems: diesel engines, generators, refrigeration, electrical and hydraulic equipment, water making and sanitary equipment, deck machinery and fish hauling equipment, factory equipment, pumps, cooling, and conveyor systems. Perform work assignments under the direction of the chief engineer. Assist in transfer bulk petroleum products. Maintain an inventory control system. Under oversight of the chief engineer, prepare department records and reports as required by the company, USCG, OSHA and other agencies. Oversee a safety program. Ensure all engineering crew are trained and fully cognizant of the job hazards. Ensure LOCK OUT-TAGS PLUS procedures are communicated, followed, and enforced. Resolve technical problems as they occur. Give specific directions in the case of an emergency. Work Schedule Assistant engineers work at least 13 hours per day, 7 days per week. Work hours may be extended as necessary which may result in uneven shifts and sleep patterns. Work Environment While performing the duties of this job, employees and the vessel will be operating in extremely remote and austere locations; often days away from land or dock facilities. While performing the duties of this job, employees are expected to wear protective clothing and equipment such as rain gear (pants and sleeves), gloves, rubber boots, noise suppression devices, and use as required: hardhat, safety goggles, fire extinguisher, respirator, life preserver and survival suit. Employees will be exposed to various species of fish; wet, humid and freezing conditions; fish processing equipment such as headers, movable and stationary conveyor systems, knives, hoists, pressure washers, cleaning chemicals, shovels, buckets, baskets and aluminum pans. The noise level in the work environment is usually loud. Employees work onboard a vessel in the ocean which by nature produces varying degrees of motion in the factory. While performing the duties of this job, Engineers are regularly exposed to moving machinery, vibration, and risk of electrical shock. Requirements Education, Experience USCG 3rd Assistant License Unlimited or higher. Engine room experience on a catcher processor vessel preferred. Earned High School Diploma or GED. Education verification will be required prior to hire. 24 months or more of relevant verifiable work experience in the last 4 years. Work history must be provided during the application process. No Exceptions. Physical Demands All employees must be able to: Board and exit the vessel by gangplank or Jacob’s ladder without assistance. Board or exit a skiff without assistance in all weather conditions. Ascend and descend steep stairways and ladders in all temperatures. Work at least 16 ½ hours per day, 7 days per week for the duration of the contract. Perform repetitive tasks for extended periods of time. Stand and walk; lift weights up to and over 50 pounds for full range from floor to above their head repeatedly. Use fingers, hands and arms to push, pull and reach. Bend and twist. Stoop, kneel, crouch or crawl. Work long hours in all kinds of weather. Work in a cold and wet environment. Don life jacket, life vest and/or survival suit without assistance. Must be able to pass pre-employment and random drug tests per USCG regulations. This job is designated by O’Hara Corporation to be Safety Sensitive, and a pre-employment drug screen is part of the hiring process. Mental Activities All employees must be able to: Hear, understand, and follow instructions, directions, safety rules and procedures in English. Use interpersonal and teamwork skills. Live and work with others in close quarters. Be away from medical care and supervision for 3+ months at a time. Share crew quarters, bathroom facilities, and common dining areas with other crew members. Discern between various shades of color for identifying and sorting various fish species as well as for safety signs, alarms, and warnings. Benefits Medical, vision and dental insurance is offered to employees and qualified dependents, if elected. 401(k) with employer match after one year of employment, if elected. Meals, snacks, and beverages provided including diverse cuisine options while at sea. (Additional at-sea store available for specialty items to purchase and have deducted from paycheck) O’Hara will book and pre-pay flight and lodging from Point of Hire- Seattle, WA to Dutch Harbor, AK. Compensation $600-$1700 a day DOE O’Hara Corporation provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Adaptive Property Solutions provides building documentation services nationwide. We are seeking an individual to perform architectural as-built field verification services at commercial spaces in Modesto, CA. In our process, we perform a 3DVR scan to generate a point cloud, which we use to create as-built drawings in Revit. We need a local field tech to provide interior confirming measurements and exterior elevation sketches. Architects, Engineers, Drafters, and individuals with experience in commercial construction are well-suited to perform these surveys. We are seeking to establish a long-term relationship to meet future demand in the area. If you are interested, please respond with your phone number, email address, and resume.