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Description AdaptHealth Opportunity - Apply Today! At AdaptHealth we offer full-service home medical equipment products and services to empower patients to live their best lives - out of the hospital and in their homes. We are actively recruiting in your area. If you are passionate about making a profound impact on the quality of patients' lives, please click to apply, we would love to hear from you. Warehouse Technician (Driving) The Warehouse Technician will process orders, prepare items for shipment and receive incoming inventory. Where applicable also responsible for cleaning and disinfecting returned equipment, cleaning room maintenance, stocking and staging inventory, and inventory maintenance. The technician assists the supervisor or manager in pulling and loading equipment for delivery in addition to assembly of equipment when necessary, maintaining confidentiality and all other aspects of HIPAA compliance are essential in this job. Employees in this position may also be requested to deliver equipment to patients and/or facilities. Essential Functions and Job Responsibilities: Performs data entry in appropriate applications, updates shipping information, and tracks orders. Completes clerical tasks including faxing, scanning, filing, and general phone calls. Prepares shipping containers in advance and creates labels. Reviews itemized customer lists; locates and assembles outgoing merchandise to fulfill requests. Verifies contents of outgoing packages against invoices or bills of lading. Receives and opens merchandise shipments, processes packing slips or invoices, and safely stores items. Documents returned items and cleans equipment following the Branch Maintenance and Cleaning Guidelines Retains knowledge of and consistently adheres to procedures for the use of Personal Protective Equipment (PPE), infection control, and hazardous materials handling. Routinely cleans warehouse area pursuant to Standard Operating Procedure (SOP), discards waste material daily and maintains a clean facility. Assists in the stocking, tracking, and replenishment of inventory. Collects and delivers packages to the shipping area. Responsible for communicating actual and potential stock shortages or outages to the warehouse manager in a timely manner to assure adequate inventory level. Responsible for monitoring expiration dates to assure supplies are returned or re-inventoried per company guidelines. Delivering equipment (when requested): Follows Driving Policy and completes required driver training. Educate customers in proper use and care of respiratory and HME equipment in a home setting Complete written patient visits reports following setup and follow-up visits as required Assist with customer equipment problems under emergency conditions Process all orders in a timely, accurate manner Perform patient assessment and re-assessment for patient care Perform routine preventative maintenance and simple repairs on equipment as required in accordance with company policies Report equipment hazards and/or product incidents as required in accordance with company policies and procedures Assume on-call responsibilities during non-business hours in accordance with company policy Maintain patient confidentiality and function within the guidelines of HIPAA Completes assigned compliance training and other educational programs as required Maintains compliant with AdaptHealth's Compliance Program Perform other related duties as assigned Competency, Skills and Abilities: Equipment repair or maintenance skills Problem solving skills with attention to detail Ability to prioritize and manage multiple tasks Ability to clean, test and repair home medical equipment. Ability to identify safety hazards and take the necessary precautions Accurately receive, stock, retrieve and load equipment and supplies. Work cooperatively with those contacted in the course of work. Ability to prioritize and manage competing priorities and tasks Independent decision making Computer skills including knowledge of Microsoft Office applications Physical Demands and Work Environment: Must be able to regularly lift and/or move up to 85 pounds, frequently lift and/or move up to 100 pounds, and occasionally lift and/or move up to 160 pounds Must be able to stretch, bend, stoop and crouch and perform moderate to heavy physical labor while moving equipment and supplies Subject to long periods of sitting and driving Work environment may be stressful at times, as overall work activities and work levels fluctuate May be exposed to unsanitary conditions in some home settings May be exposed to hazardous materials, loud noise, extreme heat/cold, direct, or indirect contact with airborne, bloodborne, and/or other potentially infectious pathogen May be exposed to high crime areas within the service community Must be able to drive independently and travel as needed May be exposed to angry or irate customers Must be able to access the patient's residence without assistance Ability to effectively communicate both verbally and written with customers with the ability to demonstrate empathy, compassion, courtesy, and respect for privacy. Requirements Minimum Job Qualifications: • High School Diploma or equivalency • Construction, general manual labor, military and equipment repair, or maintenance skills would be considered related experience • Valid and unrestricted driver's license in the state of residence Senior level requires two (2) years of work-related experience and one (1) year of exact job experience. AdaptHealth is an equal opportunity employer and does not unlawfully discriminate against employees or applicants for employment on the basis of an individual's race, color, religion, creed, sex, national origin, age, disability, marital status, veteran status, sexual orientation, gender identity, genetic information, or any other status protected by applicable law. This policy applies to all terms, conditions, and privileges of employment, including recruitment, hiring, placement, compensation, promotion, discipline, and termination.

Job Description: Industrialization Engineer - Pile Driving Equipment Overview: We are looking for a skilled and detail-oriented Industrialization Engineer to join our team, focusing on the industrialization of foundation equipment, specifically pile driving equipment. The role will involve collaborating with external equipment manufacturers to ensure that the design and production processes are optimized for efficiency, quality, and cost. This position is essential for managing the transition of new pile driving equipment from design to production and ensuring that the manufactured equipment meets our operational and quality standards. Key Responsibilities: Equipment Sourcing and Vendor Collaboration: Work closely with external manufacturers to ensure the design, production, and delivery of pile driving equipment align with our project requirements, timelines, and quality standards. Industrialization Strategy: Develop and implement industrialization strategies for pile driving equipment, ensuring the efficient transition from prototype to mass production while meeting cost, quality, and lead-time objectives. Manufacturing Process Optimization: Collaborate with external manufacturers to improve production processes and ensure manufacturability, identifying opportunities for cost reductions, process improvements, and risk mitigation. Design for Manufacturability: Provide input during the design phase to ensure that equipment is designed with manufacturability in mind, including simplifying assembly and ensuring that designs are robust for mass production. Supply Chain and Logistics Coordination: Work with procurement, logistics, and project management teams to ensure that the right materials, components, and production schedules are in place to support the manufacturing of pile driving equipment. Quality Assurance and Compliance: Ensure that external manufacturers adhere to quality standards, regulatory requirements, and specifications for the pile driving equipment. Conduct regular reviews and audits to verify quality control processes. Problem-Solving and Issue Resolution: Address and resolve any manufacturing or design issues that arise during the industrialization process, working with both internal teams and external suppliers to find practical solutions. Testing and Validation: Oversee factory acceptance tests (FAT), ensure that equipment meets performance criteria, and collaborate with manufacturers to address any issues identified during testing. Cost Control and Budget Management: Work with external manufacturers to manage production costs and ensure that the equipment is produced within budget, finding cost-effective solutions without compromising quality. Cross-functional Collaboration: Collaborate with engineering, project management, and manufacturing teams to ensure smooth coordination and alignment throughout the industrialization process. Qualifications: Bachelor's degree in Mechanical Engineering, Industrial Engineering, or a related field. Minimum of 10 years of experience in industrialization or manufacturing engineering, with a focus on heavy machinery, foundation equipment, or similar industries. In-depth knowledge of pile driving or similar machines/equipment and foundation engineering processes. Experience working with external suppliers and manufacturers, managing the industrialization of complex machinery. Strong understanding of production processes, quality control, and manufacturing standards. Ability to analyze designs for manufacturability and suggest improvements for production efficiency and cost savings. Excellent project management and organizational skills, with the ability to manage multiple priorities and timelines. Strong communication and interpersonal skills, able to effectively collaborate with both internal teams and external suppliers. Experience with industrialization tools and methodologies, such as value stream mapping, Lean manufacturing, and Six Sigma. Familiarity with the regulatory and safety standards associated with manufacturing and heavy machinery. Preferred Skills: Experience with automation and advanced manufacturing technologies. Experience in heavy and complex machinery manufacturing. Familiarity with the foundation and piling equipment industry. Knowledge of quality management systems (e.g., ISO 9001) and lean principles. Nextpower offers a comprehensive benefits package. We provide health care coverage, dental and vision, 401(K) participation including company matching, company paid holidays with unlimited paid time off, generous discretionary company bonuses, life and disability protection and more. Employees in certain positions may be eligible for stock compensation. All plans are in accordance with relevant plan documents. For more information on Nextpower's benefits please view our company website at www.nextpower.com. Pay is based on market location and may vary based on factors including experience, skills, education and other job-related reasons. The annual salary range for this position is $150,000-$165,000 (Applicable to California). At Nextpower, we are driving the global energy transition with an integrated clean energy technology platform that combines intelligent structural, electrical, and digital solutions for utility-scale power plants. Our comprehensive portfolio enables faster project delivery, higher performance, and greater reliability, helping our customers capture the full value of solar power. Our talented worldwide teams are redefining how solar power plants are designed, built, and operated every day with smart technology, data-driven insights, and advanced automation. Together, we're building the foundation for the world's next generation of clean energy infrastructure. Nextpower is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We are Nextpower

Job Description To help facilitate administration of the relocation stiped if you are selected, please apply using the permanent address you would move from. Work Arrangement: Hybrid: This internship is categorized as hybrid. The selected intern is expected to report to the office up to three times per week or as determined by the team. Locations: Sunnyvale, California Mountain View, California Warren, Michigan Milford, Michigan About the Role: As an Autonomous Driving Software Engineer Intern, you will contribute to the design, development, and validation of cutting-edge software powering self-driving systems. You'll collaborate with experienced engineers across AV Platform teams to build scalable, safety-critical software for autonomous vehicles operating in real-world environments. What You'll Do: Develop, test, and deploy production-ready code across components of vehicle platform software. Quickly ramp up on assigned codebase, product area, and/or system. Complete assigned tasks efficiently with few iterations. Identify problem statements, outline optimal solutions, account for tradeoffs and edge cases. Participate in code reviews, technical discussions, and design resign. Collaborate with cross-functional teams including hardware, systems, test, and safety to ensure seamless software integration. Communicate effectively across multiple stakeholders. Required Qualifications: Currently enrolled in a full-time, degree-seeking program and in the process of obtaining a Bachelors or Masters degree in computer science or a related field. Experience with modern object-oriented programming languages (e.g., Java, C++, Python) preferably in a production or applied project environment. Able to work fulltime, 40 hours per week. Preferred Qualifications: Previous experience with software development through internships, class projects, personal projects, or coding competitions. Experience developing and testing software through internships, coursework, or personal projects. Familiarity with Linux/POSIX environments and exposure to embedded systems or robotics projects. Understanding of networking fundamentals relevant to embedded or distributed systems. Experience with robotics frameworks (e.g., ROS), embedded Linux platforms, or common sensors (e.g., cameras, lidar, radar, IMUs) is a plus. Interest or coursework related to safety-critical or high-reliability systems (automotive, aerospace, medical) is beneficial. Passion for self-driving technology and its potential impact on the world. Intent to return to degree-program after the completion of the internship. Graduating between December 2026 and August 2027. Compensation: The monthly salary range for this role is $7,300 - $9,200 per month GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2026 Student Program. What you'll get from us (Benefits): Paid US GM Holidays GM Family First Vehicle Discount Program Result-based potential for growth within GM Intern events to network with company leaders and peers About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description About the Team: We are building a state-of-the-art AI training platform in close collaboration with model teams to deliver Autonomous car milestones, maximizing model flop utilization and iteration speed, and enhancing inference systems. We are augmenting training, data processing, evaluation and the deployment loop with a data flywheel to validate performance and continuously improve Autonomous driving and Active Safety. We accelerate compute performance through architectural changes and low-level optimizations, informed by advanced Carbench/HIL platforms, AI tooling and workflows and instrumentation built in-house. We streamline compiler/build and modelbench performance; enhance data processing, preprocessing, and batch inference; and improve monitoring and availability to increase velocity and quality. Work Arrangement: Hybrid: This internship is categorized as hybrid. The selected intern is expected to report to the office up to three times per week or as determined by the team. To help facilitate administration of the relocation stipend if you are selected, please apply using the permanent address you would move from. Location: San Francisco, California Sunnyvale, California Mountain View, California Seattle, Washington About the Role: As an intern, you will help develop and optimize our AI training platform by improving data processing pipelines, accelerating model training and inference workflows, and/ or enhancing testing infrastructure like Carbench/HIL. You will support tool development, instrumentation, and system monitoring to boost reliability, reduce latency, and increase iteration speed for advancing autonomous driving performance. What You'll Do: Develop scalable infrastructure and tools to support model training, regression, and rules-based models, operations, and inference. Suggest, collect and synthesize requirements and create effective feature roadmap. Code deliverables in tandem with the engineering team. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU). Perform specific responsibilities which vary by team. Required Qualifications: Currently enrolled in a full-time, degree-seeking program and in the process of obtaining a Master's degree in computer science or a related technical field. Experience in systems software or algorithms. Experience with modern object-oriented programming languages (e.g., Java, C++, Python). Strong communication skills with experience collaborating across cross-functional teams. Able to work fulltime, 40 hours per week. Preferred Qualifications Demonstrated software engineer experience via an internship, work experience, coding competitions. Familiarity with AI -assisted engineering tools (e.g., for code generation, model analysis, or experiment planning) to enhance productivity and understanding of ML systems. Demonstrated creativity and quick problem-solving capabilities. Research and/or work experience in a relevant field, such as machine learning, deep learning, reinforcement learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, or computer vision. Experience with distributed systems (e.g., Spark, Ray, Kubernetes, Slurm). Experience in CUDA, OpenCL, Triton or other accelerator programming language. Intent to return to degree-program after the completion of the internship. Graduating between December 2026 and August 2027. Compensation: The monthly salary range for this role is $ 7,300 - $10,600 per month. GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2026 Student Program. What you'll get from us (Benefits): Paid US GM Holidays GM Family First Vehicle Discount Program Result-based potential for growth within GM Intern events to network with company leaders and peers About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

The Offline Driving Intelligence (ODIN) team at Zoox is leveraging the latest in AI to craft algorithms that understand the world. We leverage large models first offline and we devise a path of impact into our self-driving robot, enabling safe and efficient navigation in complex environments. As an engineer in the ODIN team, you will develop advanced multimodal large language models that enhance environmental understanding. You'll develop and fine-tune these models for off-vehicle analysis while working with the onboard team to deliver impact in our robotaxi platform, ensuring they can efficiently identify hazards and interpret driving restrictions with minimal latency. Working alongside world-class engineers and researchers, you'll leverage premium sensor data and cutting-edge infrastructure to validate your algorithms in real-world conditions, directly impacting productivity, safety and the capability of Zoox's autonomous system. In this role, you will: Develop multimodal large language models that enhance our robotaxis' understanding of complex urban environments Implement model architectures and sophisticated training techniques Build large high quality datasets leveraging all the inputs from our sensor stack and the overall large scale data we have at Zoox. Drive end-to-end ML solutions from research to production, utilizing Zoox's extensive data pipelines and infrastructure to improve autonomous driving capabilities. Collaborate with perception, planning, safety, and systems teams to integrate your models into the vehicle's decision-making pipeline. Validate and optimize your solutions using real-world driving scenarios, directly contributing to the safety and reliability of Zoox's autonomous system Qualifications MS or PhD in Computer Science, Machine Learning, or related technical field Demonstrated experience training and deploying large language models (LLMs) Experience building and maintaining ML training pipelines, including data preprocessing, model training, and evaluation Proficiency in Python and ML libraries (PyTorch, NumPy) demonstrated through professional or research projects Experience training models with large scale data Bonus Qualifications Publications in top-tier conferences (CVPR, ICCV, RSS, ICRA) Experience with autonomous robotics systems $189,000 - $257,000 a year Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity. We are seeking Deep Learning Engineers with strong expertise in machine learning (ML) and deep learning (DL) system design, along with solid software development skills. In this role, you will research, implement, and evaluate a unified end-to-end onboard model leveraging state-of-the-art technologies, including transformer-based architectures, diffusion models, reinforcement learning, and Vision-Language-Action (VLA) models. You will collaborate with a world-class team of experts in computer vision, AI systems, and software engineering to push the boundaries of autonomous vehicle performance. Your work will be powered by vast amounts of real-world multimodal data from our autonomous fleet, enabling the development of next-generation AI-driven driving solutions. Job Responsibilities: Research and develop cutting-edge deep learning algorithms for a unified, end-to-end onboard model that seamlessly integrates perception, prediction, and planning, replacing traditional modular model pipelines. Research and develop Vision-Language-Action (VLA) models to enable context-aware, multimodal decision-making, allowing the model to understand visual, textual, and action-based cues for enhanced driving intelligence. Design and optimize highly efficient neural network architectures, ensuring they achieve low-latency, real-time execution on the vehicle's high-performance computing platform, balancing accuracy, efficiency, and robustness. Develop and scale an offline machine learning (ML) infrastructure to support rapid adaptation, large-scale training, and continuous self-improvement of end-to-end models, leveraging self-supervised learning, imitation learning, and reinforcement learning. Deliver production-quality onboard software, working closely with sensor fusion, mapping, and perception teams to build the industry's most intelligent and adaptive autonomous driving system. Leverage massive real-world datasets collected from our autonomous fleet, integrating multi-modal sensor data to train and refine state-of-the-art end-to-end driving models. Design, conduct, and analyze large-scale experiments, including sim-to-real transfer, closed-loop evaluation, and real-world testing to rigorously benchmark model performance and generalization. Collaborate with system software engineers to deploy high-performance deep learning models on embedded automotive hardware, ensuring real-world robustness and reliability under diverse driving conditions. Work cross-functionally with AI researchers, computer vision experts, and autonomous driving engineers to push the frontier of end-to-end learning, leveraging advances in transformer-based architectures, diffusion models, and reinforcement learning to redefine the future of autonomous mobility. Minimum Skill Requirements: MS or PhD level education in Engineering or Computer Science with a focus on Deep Learning, Artificial Intelligence, or a related field, or equivalent experience. Strong experience in applied deep learning including model architecture design, model training, data mining, and data analytics. 5 - 8 years + of experience working with DL frameworks such as PyTorch, Tensorflow. Strong Python programming experience with software design skills. Solid understanding of data structures, algorithms, code optimization and large-scale data processing. Excellent problem-solving skills. Preferred Skill Requirements: Hands on experience in developing DL based planning engine for autonomous driving. Experience in applying CNN/RNN/GNN, attention model, or time series analysis to real world problems. Experience in other ML/DL applications, e.g., reinforcement learning. Experience in DL model deployment and optimization tools such as ONNX and TensorRT. What do we provide: A fun, supportive and engaging environment Opportunity to make significant impact on transportation revolution by the means of advancing autonomous driving Opportunity to work on cutting edge technologies with the top talent in the field Competitive compensation package Snacks, lunches and fun activities The base salary range for this full-time position is $244,140-$413,160, in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.

About Applied Intuition Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017 and now valued at $15 billion following its recent Series F funding round, Applied Intuition delivers the Vehicle OS, Self-Driving System, and toolchain to help customers build intelligent vehicles and shorten time to market. 18 of the top 20 global automakers and major programs across the Department of Defense trust Applied Intuition's solutions to deliver vehicle intelligence. Applied Intuition services the automotive, defense, trucking, construction, mining, and agriculture industries and is headquartered in Mountain View, CA, with offices in Washington, D.C., San Diego, CA, Ft. Walton Beach, FL, Ann Arbor, MI, London, Stuttgart, Munich, Stockholm, Bangalore, Seoul, and Tokyo. Learn more at applied.co. We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. (Note: For EpiSci job openings, fully remote work will be considered by exception.) About the role We are looking for a System Safety Engineer with automotive background in ADAS and/or autonomous driving. This engineer will define and manage the safety architecture and requirements for both autonomy software and hardware. This engineer will play a critical role in shaping the technical direction of this project in the automotive industry space. At Applied Intuition, you will: Derive and manage safety concepts, requirements and specifications for autonomy software and hardware for L4 trucking Lead efforts for development of safety architecture Perform safety analysis and derive relevant safety work products Work with verification and validation to ensure requirements are being verified throughout the development process Contribute to the overall safety case of the final product Promote a culture of safety within the organization and provide training and guidance on safety practices Monitor and report on safety performance, and implement continuous improvement measures Provide clear goals for all areas of a project and develop steps to oversee their timely execution so that requirements can be met We're looking for someone who has: 5+ years of experience in a System Safety Engineering role MS/BS degree in Computer Science, Electrical, Mechanical Engineering or equivalent required Expertise in mechanical, electrical, and software engineering Experience with ADAS, autonomous systems and robotics Knowledge of existing standards and regulations relevant in the automotive industry, esp. ISO 26262, ISO 21448, ISO/DPAS 8800, UL4600 and ongoing activities with regards to ML and safety Knowledge of existing standards and regulations relevant in the automotive industry Knowledge of architectural design of ADAS/AV systems Experience with requirements validation and verification for subsystems as well as integrated system level components Mastery of strong collaboration with other teams, customers, and companies to ensure high quality deliverables Nice to have: Prior work in either autonomous vehicles or ADAS Project management and leadership experience in the AV industry Experience in the AV and robotics fields Experience with the safety of ML systems Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment. Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $118,000 - $220,000 USD annually. Don't meet every single requirement? If you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.

Description AdaptHealth Opportunity - Apply Today! At AdaptHealth we offer full-service home medical equipment products and services to empower patients to live their best lives - out of the hospital and in their homes. We are actively recruiting in your area. If you are passionate about making a profound impact on the quality of patients' lives, please click to apply, we would love to hear from you. Warehouse Technician (Driving) The Warehouse Technician will process orders, prepare items for shipment and receive incoming inventory. Where applicable also responsible for cleaning and disinfecting returned equipment, cleaning room maintenance, stocking and staging inventory, and inventory maintenance. The technician assists the supervisor or manager in pulling and loading equipment for delivery in addition to assembly of equipment when necessary, maintaining confidentiality and all other aspects of HIPAA compliance are essential in this job. Employees in this position may also be requested to deliver equipment to patients and/or facilities. Essential Functions and Job Responsibilities: Performs data entry in appropriate applications, updates shipping information, and tracks orders. Completes clerical tasks including faxing, scanning, filing, and general phone calls. Prepares shipping containers in advance and creates labels. Reviews itemized customer lists; locates and assembles outgoing merchandise to fulfill requests. Verifies contents of outgoing packages against invoices or bills of lading. Receives and opens merchandise shipments, processes packing slips or invoices, and safely stores items. Documents returned items and cleans equipment following the Branch Maintenance and Cleaning Guidelines Retains knowledge of and consistently adheres to procedures for the use of Personal Protective Equipment (PPE), infection control, and hazardous materials handling. Routinely cleans warehouse area pursuant to Standard Operating Procedure (SOP), discards waste material daily and maintains a clean facility. Assists in the stocking, tracking, and replenishment of inventory. Collects and delivers packages to the shipping area. Responsible for communicating actual and potential stock shortages or outages to the warehouse manager in a timely manner to assure adequate inventory level. Responsible for monitoring expiration dates to assure supplies are returned or re-inventoried per company guidelines. Delivering equipment (when requested): Follows Driving Policy and completes required driver training. Educate customers in proper use and care of respiratory and HME equipment in a home setting Complete written patient visits reports following setup and follow-up visits as required Assist with customer equipment problems under emergency conditions Process all orders in a timely, accurate manner Perform patient assessment and re-assessment for patient care Perform routine preventative maintenance and simple repairs on equipment as required in accordance with company policies Report equipment hazards and/or product incidents as required in accordance with company policies and procedures Assume on-call responsibilities during non-business hours in accordance with company policy Maintain patient confidentiality and function within the guidelines of HIPAA Completes assigned compliance training and other educational programs as required Maintains compliant with AdaptHealth's Compliance Program Perform other related duties as assigned Competency, Skills and Abilities: Equipment repair or maintenance skills Problem solving skills with attention to detail Ability to prioritize and manage multiple tasks Ability to clean, test and repair home medical equipment. Ability to identify safety hazards and take the necessary precautions Accurately receive, stock, retrieve and load equipment and supplies. Work cooperatively with those contacted in the course of work. Ability to prioritize and manage competing priorities and tasks Independent decision making Computer skills including knowledge of Microsoft Office applications Physical Demands and Work Environment: Must be able to regularly lift and/or move up to 85 pounds, frequently lift and/or move up to 100 pounds, and occasionally lift and/or move up to 160 pounds Must be able to stretch, bend, stoop and crouch and perform moderate to heavy physical labor while moving equipment and supplies Subject to long periods of sitting and driving Work environment may be stressful at times, as overall work activities and work levels fluctuate May be exposed to unsanitary conditions in some home settings May be exposed to hazardous materials, loud noise, extreme heat/cold, direct, or indirect contact with airborne, bloodborne, and/or other potentially infectious pathogen May be exposed to high crime areas within the service community Must be able to drive independently and travel as needed May be exposed to angry or irate customers Must be able to access the patient's residence without assistance Ability to effectively communicate both verbally and written with customers with the ability to demonstrate empathy, compassion, courtesy, and respect for privacy. Requirements Minimum Job Qualifications: • High School Diploma or equivalency • Construction, general manual labor, military and equipment repair, or maintenance skills would be considered related experience • Valid and unrestricted driver's license in the state of residence Senior level requires two (2) years of work-related experience and one (1) year of exact job experience. AdaptHealth is an equal opportunity employer and does not unlawfully discriminate against employees or applicants for employment on the basis of an individual's race, color, religion, creed, sex, national origin, age, disability, marital status, veteran status, sexual orientation, gender identity, genetic information, or any other status protected by applicable law. This policy applies to all terms, conditions, and privileges of employment, including recruitment, hiring, placement, compensation, promotion, discipline, and termination.

Job Type: Contract License Requirement: NON-CDL Truck Type: Box Truck (Owner-Operator with Own Authority) Experience: Minimum 2 years Description: MML Alliance hires experienced Owner-Operators with active authority (MC/DOT) and a box truck to run Over-the-Road (OTR) across 48 states. If you're an independent contractor looking for steady loads, strong back-office support, and weekly pay, we offer a profitable partnership with transparency and no forced dispatch. Compensation and Pay Structure: 91% of weekly gross revenue goes directly to the owner-operator 9% retained by the company Weekly gross potential: $5,000 – $7,000 on 3,000+ miles $150/week admin fee includes: Factoring Safety and fleet support ELD device and 24/7 support Fuel cards with discounts provided (fuel cost deducted from gross) Weekly direct deposit every Friday $1,000 bonus after 8 weeks of active driving What We Provide: 24/7 dispatch and operations support Factoring and paperwork management at no additional cost ELD setup and compliance assistance Pet-friendly policy Flexible home time (minimum 2 weeks on the road, up to 3 days off) Form 1099 – Independent Contractor Position Details: OTR position across all 48 states (routes discussed with your dispatcher) No forced dispatch – you choose your lanes Your earnings depend on your availability, routes chosen, and time on the road Mandatory Orientation: Held Monday–Thursday, starting at 9 a.m. (first load dispatched immediately after completion). Orientation takes a few hours and is required before loads can be assigned.

Job Type: Contract License Requirement: NON-CDL Truck Type: Box Truck (Owner-Operator with Own Authority) Experience: Minimum 2 years Description: MML Alliance hires experienced Owner-Operators with active authority (MC/DOT) and a box truck to run Over-the-Road (OTR) across 48 states. If you're an independent contractor looking for steady loads, strong back-office support, and weekly pay, we offer a profitable partnership with transparency and no forced dispatch. Compensation and Pay Structure: 91% of weekly gross revenue goes directly to the owner-operator 9% retained by the company Weekly gross potential: $5,000 – $7,000 on 3,000+ miles $150/week admin fee includes: Factoring Safety and fleet support ELD device and 24/7 support Fuel cards with discounts provided (fuel cost deducted from gross) Weekly direct deposit every Friday $1,000 bonus after 8 weeks of active driving What We Provide: 24/7 dispatch and operations support Factoring and paperwork management at no additional cost ELD setup and compliance assistance Pet-friendly policy Flexible home time (minimum 2 weeks on the road, up to 3 days off) Form 1099 – Independent Contractor Position Details: OTR position across all 48 states (routes discussed with your dispatcher) No forced dispatch – you choose your lanes Your earnings depend on your availability, routes chosen, and time on the road Mandatory Orientation: Held Monday–Thursday, starting at 9 a.m. (first load dispatched immediately after completion). Orientation takes a few hours and is required before loads can be assigned.

Job Type: Contract License Requirement: NON-CDL Truck Type: Box Truck (Owner-Operator with Own Authority) Experience: Minimum 2 years Description: MML Alliance hires experienced Owner-Operators with active authority (MC/DOT) and a box truck to run Over-the-Road (OTR) across 48 states. If you're an independent contractor looking for steady loads, strong back-office support, and weekly pay, we offer a profitable partnership with transparency and no forced dispatch. Compensation and Pay Structure: 91% of weekly gross revenue goes directly to the owner-operator 9% retained by the company Weekly gross potential: $5,000 – $7,000 on 3,000+ miles $150/week admin fee includes: Factoring Safety and fleet support ELD device and 24/7 support Fuel cards with discounts provided (fuel cost deducted from gross) Weekly direct deposit every Friday $1,000 bonus after 8 weeks of active driving What We Provide: 24/7 dispatch and operations support Factoring and paperwork management at no additional cost ELD setup and compliance assistance Pet-friendly policy Flexible home time (minimum 2 weeks on the road, up to 3 days off) Form 1099 – Independent Contractor Position Details: OTR position across all 48 states (routes discussed with your dispatcher) No forced dispatch – you choose your lanes Your earnings depend on your availability, routes chosen, and time on the road Mandatory Orientation: Held Monday–Thursday, starting at 9 a.m. (first load dispatched immediately after completion). Orientation takes a few hours and is required before loads can be assigned.

Job Type: Contract License Requirement: NON-CDL Truck Type: Box Truck (Owner-Operator with Own Authority) Experience: Minimum 2 years Description: MML Alliance hires experienced Owner-Operators with active authority (MC/DOT) and a box truck to run Over-the-Road (OTR) across 48 states. If you're an independent contractor looking for steady loads, strong back-office support, and weekly pay, we offer a profitable partnership with transparency and no forced dispatch. Compensation and Pay Structure: 91% of weekly gross revenue goes directly to the owner-operator 9% retained by the company Weekly gross potential: $5,000 – $7,000 on 3,000+ miles $150/week admin fee includes: Factoring Safety and fleet support ELD device and 24/7 support Fuel cards with discounts provided (fuel cost deducted from gross) Weekly direct deposit every Friday $1,000 bonus after 8 weeks of active driving What We Provide: 24/7 dispatch and operations support Factoring and paperwork management at no additional cost ELD setup and compliance assistance Pet-friendly policy Flexible home time (minimum 2 weeks on the road, up to 3 days off) Form 1099 – Independent Contractor Position Details: OTR position across all 48 states (routes discussed with your dispatcher) No forced dispatch – you choose your lanes Your earnings depend on your availability, routes chosen, and time on the road Mandatory Orientation: Held Monday–Thursday, starting at 9 a.m. (first load dispatched immediately after completion). Orientation takes a few hours and is required before loads can be assigned.

Job Type: Contract License Requirement: NON-CDL Truck Type: Box Truck (Owner-Operator with Own Authority) Experience: Minimum 2 years Description: MML Alliance hires experienced Owner-Operators with active authority (MC/DOT) and a box truck to run Over-the-Road (OTR) across 48 states. If you're an independent contractor looking for steady loads, strong back-office support, and weekly pay, we offer a profitable partnership with transparency and no forced dispatch. Compensation and Pay Structure: 91% of weekly gross revenue goes directly to the owner-operator 9% retained by the company Weekly gross potential: $5,000 – $7,000 on 3,000+ miles $150/week admin fee includes: Factoring Safety and fleet support ELD device and 24/7 support Fuel cards with discounts provided (fuel cost deducted from gross) Weekly direct deposit every Friday $1,000 bonus after 8 weeks of active driving What We Provide: 24/7 dispatch and operations support Factoring and paperwork management at no additional cost ELD setup and compliance assistance Pet-friendly policy Flexible home time (minimum 2 weeks on the road, up to 3 days off) Form 1099 – Independent Contractor Position Details: OTR position across all 48 states (routes discussed with your dispatcher) No forced dispatch – you choose your lanes Your earnings depend on your availability, routes chosen, and time on the road Mandatory Orientation: Held Monday–Thursday, starting at 9 a.m. (first load dispatched immediately after completion). Orientation takes a few hours and is required before loads can be assigned.

Job Type: Contract License Requirement: NON-CDL Truck Type: Box Truck (Owner-Operator with Own Authority) Experience: Minimum 2 years Description: MML Alliance hires experienced Owner-Operators with active authority (MC/DOT) and a box truck to run Over-the-Road (OTR) across 48 states. If you're an independent contractor looking for steady loads, strong back-office support, and weekly pay, we offer a profitable partnership with transparency and no forced dispatch. Compensation and Pay Structure: 91% of weekly gross revenue goes directly to the owner-operator 9% retained by the company Weekly gross potential: $5,000 – $7,000 on 3,000+ miles $150/week admin fee includes: Factoring Safety and fleet support ELD device and 24/7 support Fuel cards with discounts provided (fuel cost deducted from gross) Weekly direct deposit every Friday $1,000 bonus after 8 weeks of active driving What We Provide: 24/7 dispatch and operations support Factoring and paperwork management at no additional cost ELD setup and compliance assistance Pet-friendly policy Flexible home time (minimum 2 weeks on the road, up to 3 days off) Form 1099 – Independent Contractor Position Details: OTR position across all 48 states (routes discussed with your dispatcher) No forced dispatch – you choose your lanes Your earnings depend on your availability, routes chosen, and time on the road Mandatory Orientation: Held Monday–Thursday, starting at 9 a.m. (first load dispatched immediately after completion). Orientation takes a few hours and is required before loads can be assigned.

NON-CDL Box Truck Owner-Operators – OTR (Must Have Own Truck) Job Type: Contract License Requirement: NON-CDL Truck Type: 24ft–26ft Box Truck (Owner-Operator with Active MC/DOT Authority – REQUIRED) Experience: Minimum 2 years verifiable OTR experience Apply ONLY if you meet the requirements: You own your box truck (24ft–26ft) – the company does not provide equipment You have an active MC/DOT authority You have at least 1 year of OTR experience running multiple states You can stay on the road for a minimum of 2 weeks at a time (with up to 3 days off) Applications that do not meet these requirements will not be considered. About the Position MML Alliance partners with experienced owner-operators who want reliable freight, strong back-office support, and consistent pay. We provide transparency, no forced dispatch, and 24/7 support to keep you moving. Compensation & Pay 91% of gross revenue is paid directly to you 9% retained by the company Weekly gross potential: $5,000–$7,500 (3,000+ miles) $150/week admin fee covers: Factoring ELD device & 24/7 support Safety & compliance support Fuel card with discounts (deducted weekly) Weekly direct deposit every Friday $2,000 bonus after 8 weeks of active driving What We Provide 24/7 dispatch and operations support Paperwork, factoring, and compliance included Flexible lanes – no forced dispatch Pet-friendly policy Form 1099 – Independent Contractor Orientation Mandatory orientation: Mon–Thu at 9 a.m. (takes a few hours) First load dispatched immediately after orientation Reminder: Do not apply unless you already own your box truck. Apply now to start your partnership with MML Alliance!

Job Type: Contract License Requirement: NON-CDL Truck Type: Box Truck (Owner-Operator with Own Authority) Experience: Minimum 2 years Description: MML Alliance hires experienced Owner-Operators with active authority (MC/DOT) and a box truck to run Over-the-Road (OTR) across 48 states. If you're an independent contractor looking for steady loads, strong back-office support, and weekly pay, we offer a profitable partnership with transparency and no forced dispatch. Compensation and Pay Structure: 91% of weekly gross revenue goes directly to the owner-operator 9% retained by the company Weekly gross potential: $5,000 – $7,000 on 3,000+ miles $150/week admin fee includes: Factoring Safety and fleet support ELD device and 24/7 support Fuel cards with discounts provided (fuel cost deducted from gross) Weekly direct deposit every Friday $1,000 bonus after 8 weeks of active driving What We Provide: 24/7 dispatch and operations support Factoring and paperwork management at no additional cost ELD setup and compliance assistance Pet-friendly policy Flexible home time (minimum 2 weeks on the road, up to 3 days off) Form 1099 – Independent Contractor Position Details: OTR position across all 48 states (routes discussed with your dispatcher) No forced dispatch – you choose your lanes Your earnings depend on your availability, routes chosen, and time on the road Mandatory Orientation: Held Monday–Thursday, starting at 9 a.m. (first load dispatched immediately after completion). Orientation takes a few hours and is required before loads can be assigned.

Job Type: Contract License Requirement: NON-CDL Truck Type: Box Truck (Owner-Operator with Own Authority) Experience: Minimum 2 years Description: MML Alliance hires experienced Owner-Operators with active authority (MC/DOT) and a box truck to run Over-the-Road (OTR) across 48 states. If you're an independent contractor looking for steady loads, strong back-office support, and weekly pay, we offer a profitable partnership with transparency and no forced dispatch. Compensation and Pay Structure: 91% of weekly gross revenue goes directly to the owner-operator 9% retained by the company Weekly gross potential: $5,000 – $7,000 on 3,000+ miles $150/week admin fee includes: Factoring Safety and fleet support ELD device and 24/7 support Fuel cards with discounts provided (fuel cost deducted from gross) Weekly direct deposit every Friday $1,000 bonus after 8 weeks of active driving What We Provide: 24/7 dispatch and operations support Factoring and paperwork management at no additional cost ELD setup and compliance assistance Pet-friendly policy Flexible home time (minimum 2 weeks on the road, up to 3 days off) Form 1099 – Independent Contractor Position Details: OTR position across all 48 states (routes discussed with your dispatcher) No forced dispatch – you choose your lanes Your earnings depend on your availability, routes chosen, and time on the road Mandatory Orientation: Held Monday–Thursday, starting at 9 a.m. (first load dispatched immediately after completion). Orientation takes a few hours and is required before loads can be assigned.

Job Type: Contract License Requirement: NON-CDL Truck Type: Box Truck (Owner-Operator with Own Authority) Experience: Minimum 2 years Description: MML Alliance hires experienced Owner-Operators with active authority (MC/DOT) and a box truck to run Over-the-Road (OTR) across 48 states. If you're an independent contractor looking for steady loads, strong back-office support, and weekly pay, we offer a profitable partnership with transparency and no forced dispatch. Compensation and Pay Structure: 91% of weekly gross revenue goes directly to the owner-operator 9% retained by the company Weekly gross potential: $5,000 – $7,000 on 3,000+ miles $150/week admin fee includes: Factoring Safety and fleet support ELD device and 24/7 support Fuel cards with discounts provided (fuel cost deducted from gross) Weekly direct deposit every Friday $1,000 bonus after 8 weeks of active driving What We Provide: 24/7 dispatch and operations support Factoring and paperwork management at no additional cost ELD setup and compliance assistance Pet-friendly policy Flexible home time (minimum 2 weeks on the road, up to 3 days off) Form 1099 – Independent Contractor Position Details: OTR position across all 48 states (routes discussed with your dispatcher) No forced dispatch – you choose your lanes Your earnings depend on your availability, routes chosen, and time on the road Mandatory Orientation: Held Monday–Thursday, starting at 9 a.m. (first load dispatched immediately after completion). Orientation takes a few hours and is required before loads can be assigned.

Job Type: Contract License Requirement: NON-CDL Truck Type: Box Truck (Owner-Operator with Own Authority) Experience: Minimum 2 years Description: MML Alliance hires experienced Owner-Operators with active authority (MC/DOT) and a box truck to run Over-the-Road (OTR) across 48 states. If you're an independent contractor looking for steady loads, strong back-office support, and weekly pay, we offer a profitable partnership with transparency and no forced dispatch. Compensation and Pay Structure: 91% of weekly gross revenue goes directly to the owner-operator 9% retained by the company Weekly gross potential: $5,000 – $7,000 on 3,000+ miles $150/week admin fee includes: Factoring Safety and fleet support ELD device and 24/7 support Fuel cards with discounts provided (fuel cost deducted from gross) Weekly direct deposit every Friday $1,000 bonus after 8 weeks of active driving What We Provide: 24/7 dispatch and operations support Factoring and paperwork management at no additional cost ELD setup and compliance assistance Pet-friendly policy Flexible home time (minimum 2 weeks on the road, up to 3 days off) Form 1099 – Independent Contractor Position Details: OTR position across all 48 states (routes discussed with your dispatcher) No forced dispatch – you choose your lanes Your earnings depend on your availability, routes chosen, and time on the road Mandatory Orientation: Held Monday–Thursday, starting at 9 a.m. (first load dispatched immediately after completion). Orientation takes a few hours and is required before loads can be assigned.