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We are looking for the best At 42dot, our Senior Machine Learning Engineer team focuses on developing state-of-the-art solutions in Motion Planning algorithms. We create advanced prediction algorithms for future path planning, a critical aspect of ensuring the safety and reliability of autonomous driving systems. By utilizing vast datasets, we conduct comprehensive analyses of driving patterns, allowing us to design algorithms that facilitate smooth and natural vehicle control. Our goal is to drive the innovation needed to shape the future of autonomous driving technologies. Responsibilities Lead the design and development of advanced machine learning models for autonomous driving tasks, including perception, decision-making, and control Drive end-to-end machine learning pipeline development from data collection and preprocessing to model training, optimization, and deployment Apply state-of-the-art deep learning techniques, such as reinforcement learning, imitation learning, and self-supervised learning, to improve autonomous driving performance Optimize model performance in real-world driving conditions and ensure seamless integration with the vehicle’s software stack Collaborate with cross-functional teams, including software, hardware, and vehicle control, to align machine learning systems with overall vehicle architecture Mentor junior engineers and provide guidance on best practices for machine learning development Stay updated on the latest trends and research in machine learning and autonomous driving, bringing innovative approaches to the team Qualifications Master’s or Ph.D. in Computer Science, Machine Learning, AI, Robotics, or a related field Extensive experience with deep learning algorithms (CNN, RNN, Transformer) and their applications in autonomous systems Strong proficiency in Python and machine learning frameworks (TensorFlow, PyTorch), with a proven track record of deploying models in real-world systems Deep understanding of reinforcement learning, imitation learning, and advanced optimization techniques Experience working with large-scale datasets and cloud-based machine learning pipelines Excellent leadership and communication skills, with a demonstrated ability to lead technical projects Preferred Qualifications Strong background in autonomous driving technologies and end-to-end learning for self-driving cars Experience with hardware-in-the-loop (HIL) testing and real-time deployment Experience in research and development related to autonomous driving and robotics ROS1/ROS2 experience Experience deploying predictive models in real-world environments Inference optimization experience (TensorRT, CUDA programming, etc.) History of books/academic activities in related fields (CVPR, ICCV, ECCV, IROS, ICRA, etc.) Interview Process Application Review - Coding Test - 1st Interview - 2nd Interview - 3rd Interview - Offer The process may vary by position and is subject to change Schedule and results will be communicated via the email provided in your application Additional Information In accordance with fair hiring practices, do not include any personal information unrelated to your job qualifications (e.g., Social Security Number, family relations, marital status, age, photo, physical condition, place of birth, etc.) in your resume. All documents must be submitted in PDF format and under 30MB in size. If you experience issues uploading your resume, please send it along with the job posting URL to recruit@42dot.ai . We strongly encourage applications from U.S. veterans and candidates eligible for employment preference under applicable laws. Qualified individuals with disabilities are encouraged to apply and will receive consideration under the Americans with Disabilities Act (ADA). 42dot does not accept unsolicited resumes and will not pay fees for any such submissions. Equal Opportunity Statement 42dot is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status. ※ Please review the following information before applying. How to work in 42dot, About 42dot Way → Base Salary : $120,000 - $320,000

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.

Innovate...Build...Deliver! Autonomy Driven by Perrone. Perrone Robotics Inc. is a leading provider of fully autonomous vehicle systems. The Company has been a pioneer in the space of AV technology and developed the first autonomous shuttle with FULL AUTONOMOUS capabilities operating on a public road – for the public. We deliver mobility excellence through TONY ® (short for “TO Navigate You”), a vehicle independent retrofit kit for use in the autonomous transit of people and goods. TONY embeds inside any vehicle for any job, to provide a complete “artificial driver” solution that brings full autonomy in a safety certifiable framework. Proven, piloted and in commercial production, our autonomous systems help commercial, municipal, and governmental customers increase transportation efficiencies, enhance safety, and accelerate zero-emission electric vehicle deployment. With over 37,000 automated miles of travel, 30 different vehicle types outfitted, and 200 plus years of development experience, our work is built around innovation, team collaboration, and a mission-driven environment focused on quality assurance and safety. Revenue generating, high-growth and agile, the Company is positioned to evolve the autonomous vehicle industry to the next level. Join us as we transform the world through efficient, reliable autonomous vehicle systems designed to empower lives, enable mobility, and revolutionize the world of autonomous transportation. We are looking for passionate individuals to join our fast-growing team. At Perrone Robotics you will have the opportunity to impact a company and industry while growing your career. You'll find the work is exciting, fun, and very meaningful. We are looking for a Robotics Engineer in our Charlottesville, VA office. This person should be grounded in Engineering principles. This role will report to the CTO and play an integral part in design components and managing the system-level development of safety-critical automotive electronics. Responsibilities: · Vehicle integrations of electronic and mechanical systems. · Technical execution of the hardware development roadmap · Engaging with technicians to help solve production problems · Designing next-generation electronic and mechanical systems · Management of engineering requirements #autonomous driving #robotics #Taas #charlottesville #Virginia #hiring #JobSearch#JobOpening #Resume #Job #Careers #Employment #electrical engineering #power electronics #FPGA’s Equality, Diversity, and Inclusion We put equality, diversity, and inclusion at the heart of our business, seeking to promote fair employment procedures and practices to ensure equal opportunities for all. We encourage individual expression in our workplace and are committed to creating an inclusive environment where everyone feels they are welcome and have the opportunity to contribute. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, creed, marital status, sexual orientation, gender identity, or expression, disability status, or any other characteristics protected by applicable law.

ISEE is seeking a full-time electrical engineer to join our hardware team. The ideal candidate has several years of work experience. Role responsibilities include: - PCB layout, schematic design - Experience in embedded development, ARM cortex(STM32) - Communication protocols: CAN(J1939, CANOpen) SPI, I2C, serial port - Develop and support electrical architecture for special applications. - Create electrical drawings, schematics, assembly drawings and component layouts for electrical and electro-mechanical subsystem. - Understand vehicle architecture and functional schematic and develop reliable electrical component ensure operation safety. - Integrate vehicle with custom build components - Test, maintain and improve electrical system - Work with supplier and drive the implementation of development into production. Qualifications - Bachelor/Master Degree in Electrical Engineering - 5+ years of hands-on EE experience, must have direct experience in wire harnessing. - Interest in self-driving vehicle and robotics - Excellent communication skills - Experience with electrical drawings and parts management Preferred - Experience with motor control, IMU, GPS, and LIDAR - Robotics/autonomous experience is a plus

ISEE is seeking a full-time Technical Program Manager to join our team. The ideal candidate has previous work experience in both software/hardware program management. This person is often the point-person for the team and is known for getting things done. Responsibilities Structure schedules and milestones for new features and hardware builds and work with various engineering teams to deliver on these timelines; remove blockers and communicate risks and/or delays to leadership Be the point person/directly responsible individual for various key initiatives within various engineering teams Lead standups Project manage subcontractors and vendors Assist engineering teams with purchasing and procurement Coordinate the evaluation and purchasing of new tools Improve workflows and processes across hardware engineering to increase productivity Qualifications Bachelors degree in Computer Science or related Engineering 3+ years of relevant experience as a technical program manager Must have previously driven a product to launch Extremely detail oriented and follows up no matter how small the task Excellent communication skills: able to communicate complex ideas in an organized and coherent manner to a non-technical audience Robotics, AV, and startup experience preferred Previous work as an engineer working on engineering product development preferred

About the Company At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. Meet the Team Torc's Autonomy Applications software utilizes cutting-edge deep learning techniques to perceive the vehicle's environment, predict the movements of other vehicles, and execute accurate driving decisions. We are actively seeking a highly experienced engineering manager to lead our end-to-end team. This is an exceptional opportunity for you to have a significant impact on the future of the autonomous vehicle industry by leveraging AI. The Autonomy Applications division is hiring an Engineering Manager who leads the ML End-to-End Team. As the leader of the team, you are responsible for providing an environment in which your team can deliver results, stay focused on cutting edge technology and grow both as individuals and as a team. You are embedded in a department with multiple machine learning teams, each focusing on different tasks along our robotics autonomous driving stack. You are taking over the people leadership tasks, as well as the project management tasks. You are representing your team outside of your group and make sure that your team delivers the behavior models that steer our truck! Operating at the intersection of engineering and project management exposes you to every detail that your team works on the one hand, and to the broader mission of our division, providing all components for our autonomous truck, on the other hand. What you'll do: Taking the charge on the delivery of learned behavior algorithms. Collaborates with other management and teams as needed to meet goals, monitor team performance, and achieve objectives. Responsible for understanding the software or system technical domain of their assigned team. Accountable and responsible for career development and coaching of the team. Accountable and responsible for performance management of their team. Accountable and responsible for ensuring continuous performance feedback is delivered and compensation analysis in close collaboration with peer managers and People Operations. Responsive to others and able to effectively collaborate to meet established standards, compliance requirements, implementation, and service delivery schedules. Demonstrated functional knowledge of business area and demonstrates results of ongoing learning and professional development. Ability to effectively manage people and identify opportunities to develop staff experience and expertise. Scope of Influence: Focused within the team with focus on impacts to customer, technology quality and system cost. What you'll need to Succeed: Master's degree in computer science, data science, artificial intelligence or related field with 6+ years of professional experience or a PhD degree with 4+ years of experience Scientific and engineering understanding of robotics end-to-end machine learning Experience with learning from or validating in multiple domains Mastery of Python and Pytorch, with the ability to transition research level code to production and deployment ready standards Project Management experience in autonomous driving projects 2+ years of people leadership experience Bonus points! Experience with relevant NVIDIA libraries and frameworks, such as CUBLAS, CuDNN, and NPP Experience with Ray Perks of Being a Full-time Torc'r Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers: A competitive compensation package that includes a bonus component and stock options 100% paid medical, dental, and vision premiums for full-time employees 401K plan with a 6% employer match Flexibility in schedule and generous paid vacation (available immediately after start date) Company-wide holiday office closures AD+D and Life Insurance Hiring Range for Job Opening US Pay Range $160,800-$193,000 USD At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply.

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. 3 - 5 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. The base salary range for this full-time position is $215,280-$364,320, 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.

Position Overview: Please ensure your resume is updated with your California Guard Card number and expiration date. Possession of a valid California Guard Card is required. Resumes that do not have guard card information will not be reviewed. BSIS 40 hour training is required at time of hire OR MUST be completed within 6 months of hire. AmeriGuard is actively seeking dedicated and reliable part-time security officers to join our team. This position REQUIRES availability to work day, swing and grave shifts on weekends and holidays. As a security officer, you will play a vital role in ensuring the safety and security of our clients' properties, providing peace of mind through vigilant monitoring, surveillance, and presence. We are looking for individuals who are dependable, adaptable, and comfortable working different types of sites under varying conditions. Whether it's patrolling commercial properties, ensuring access control, or responding to emergency situations, your role will be essential in maintaining a secure environment. Key Responsibilities: Site Patrolling: Regularly patrol assigned properties to monitor and prevent security risks such as unauthorized access, theft, and vandalism. Surveillance Monitoring: Operate security systems (such as CCTV, alarm systems, etc.) to ensure continuous observation of the premises. Access Control: Manage and monitor entrances, exits, and gates to ensure that only authorized personnel are allowed on the property. Emergency Response: Respond promptly to any incidents, emergencies, or alarms, following established procedures and ensuring the safety of people and property. Reporting: Maintain accurate and detailed security logs, incident reports, and shift reports. Document all activities, observations, and irregularities during your shift. Customer Service: Provide assistance to clients, visitors, and staff in a professional and courteous manner. Answer questions and assist with directions or other inquiries when necessary. Enforcement of Policies and Procedures: Ensure that all security protocols, regulations, and company policies are adhered to during your shift. Types of Shifts Available: Weekend Shifts: Flexibility to work on Saturdays and Sundays, with varying hours based on site needs. Swing Shifts: Evening shifts, generally starting in the late afternoon and ending late at night (e.g., 4 PM - 12 AM). Graveyard Shifts: Overnight shifts to ensure security during off-peak hours (e.g., 12 AM - 8 AM). We are particularly seeking individuals who can commit to working these hours, as well as those who can adapt to different shifts and sites as required. Requirements: Availability: Must be available to work weekends and swing/graveyard shifts, with a flexible schedule ranging from 10 to 28 hours per week. Physical Fitness: Ability to stand, walk, and patrol the assigned premises for extended periods. Security Experience: Previous experience in security or law enforcement is a plus but not mandatory. Training will be provided. Communication Skills: Must have excellent verbal and written communication skills to report incidents accurately and interact with clients, visitors, and law enforcement if necessary. Must be fluent in speaking, reading, and writing in English. Professional Appearance: Uniforms are provided, and officers are expected to maintain a professional and clean appearance at all times. Attention to Detail: Strong observation skills to identify potential risks or suspicious activity on site. Ability to Remain Calm Under Pressure: Ability to respond appropriately in emergency situations, ensuring safety and maintaining control. Why Work with AmeriGuard? Flexible Hours: Choose your schedule based on availability, with the potential for 10-28 hours of work per week. Opportunity to claim Open shifts to add to your work week. Variety of Work Sites: Work across various properties and gain experience in different security environments. Competitive Pay: Competitive hourly rates, with opportunities for overtime and performance bonuses. Shift differential pay and pay increase for obtaining qualifying additional permits after hire. Training and Support: Comprehensive training to ensure you are fully prepared for the role, as well as ongoing support from management. Growth Opportunities: Advancement opportunities within the company for those who demonstrate dedication and strong performance.

About Applied Intuition Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017, Applied Intuition delivers the toolchain, Vehicle OS, and autonomy stacks to help customers build intelligent vehicles and shorten time to market. Eighteen 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, Seoul, and Tokyo. Learn more at appliedintuition.com. 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 an autonomy system validation engineer focused on on-road Autonomy with a background in ADAS, and/or autonomous driving. This engineer will work on system validation efforts for autonomy modules and support autonomy performance evaluation. 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: Develop and execute the system validation strategy for one or more autonomy modules (perception, planning, prediction, localization) for L4 trucking Build comprehensive test plans and specifications across testing modalities including simulation and real world testing Work closely with systems engineering teams on validation test plans to ensure completeness and coverage across ODD and behavior Develop and implement strategies for analyzing real world to measure performance and identify challenging and relevant events Identify, develop and measure performance metrics and report on performance evaluation Identify, build and deploy frameworks/pipelines to enable metric generation and evaluation Trace identified metrics to the safety case tree Support generation of the safety case and release recommendation reports We're looking for someone who has: 5+ years of experience in ADAS or Autonomous driving MS/BS degree in Robotics, Aerospace, Computer Science, or equivalent required Experience with ADAS, autonomous systems and robotics Knowledge of existing standards and regulations relevant in the automotive industry, esp. ISO 26262, ISO 21448, UL4600 Knowledge of existing standards and regulations relevant in the automotive industry Knowledge of architectural design of ADAS/AV systems Experience with scripting and simulation tools 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 or aerospace Project management and leadership experience in the AV industry Experience in the AV and robotics fields 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.

Founded in 2016 in Silicon Valley, Pony.ai has quickly become a global leader in autonomous mobility and is a pioneer in extending autonomous mobility technologies and services at a rapidly expanding footprint of sites around the world. Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an industry leader in the commercialization of autonomous driving and is committed to developing the safest autonomous driving capabilities on a global scale. Pony.ai's leading position has been recognized, with CNBC ranking Pony.ai #10 on its CNBC Disruptor list of the 50 most innovative and disruptive tech companies of 2022. In June 2023, Pony.ai was recognized on the XPRIZE and Bessemer Venture Partners inaugural "XB100" 2023 list of the world's top 100 private deep tech companies, ranking #12 globally. As of August 2023, Pony.ai has accumulated nearly 21 million miles of autonomous driving globally and is listed publicly at NASDAQ. As a self-driving vehicle operator, you will have access to the most advanced AI solutions on the road. You will be responsible for testing Pony.ai autonomous vehicles and collecting data to support the system development. You need to be able to perform efficiently in a fast-paced environment and to provide accurate and detailed feedback with safety first in mind.

Leading the future in luxury electric and mobility At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility. We plan to lead in this new era of luxury electric by returning to the fundamentals of great design - where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience. Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we're providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you. The ADAS team is currently seeking a Senior Electrical System Design Engineer. This position requires an experienced professional with a background in automotive ECU electronics architecture, design and analysis with a track record of successfully bringing new automotive ADAS and Autonomous Driving hardware systems into production. Our ideal candidate exhibits a can-do attitude and approaches his or her work with vigor and determination. Candidates will be expected to demonstrate excellence in their respective fields, to possess the ability to learn quickly and to strive for perfection. The Role: A self-starter who leads the architecture, design of Lucid's computing platform hardware from electronics and electrical aspects Be responsible for the design of the computing platform hardware from schematic capture, oversee PCB layout, board bring-up, debug, design verification test, signal timing and signal integrity qualification, thermal and Environment relate test, EMC/EMI test, manufacture support and the production deployment. Drive the concept design, prototyping, engineering, testing, manufacture, release and launch of a cutting-edge compute platform and related ECUs for Autonomous Driving and ADAS features while meeting cost, efficiency, reliability, and safety goals. Work with cross functional teams to design, verify, and bring up the ADAS domain controller. Support validation teams to complete bench and vehicle level durability, electromagnetic compatibility, etc. for regulatory compliance Ensure hardware performance is achieved successfully when integrated on bench and in vehicle. Troubleshoot and root cause, document, and drive to issue resolution. Participate in design review and xFMEA meetings to ensure lessons learned and best practices are incorporated. Lead rapid prototype system development in an efficient manner to show proof of concept. Contribute to the timely delivery of fully validated, high-quality products. Work closely with other teams to ensure good communication to achieve a seamless and robust vehicle implementation. Work closely with manufacturing/suppliers to ensure bring up success and diagnostics tools are developed for production deployment and service. Drive best practices within the team and deploy world class tools, invent and create new technologies and solutions. Qualifications: Proven track record of bringing automotive computing platform electronics design into production. Extensive knowledge in EE fundamentals and project experience developing reliable and efficient critical electronics hardware board. At least 3+ years of experience in ADAS and/or Autonomous Driving systems and demonstrated track record of technical excellence. At least 7+ years in hardware design and development experience. Proficient in using schematics capture tool, PCB tool, SI/PI simulation tool for Board level design. Proficient in using oscilloscope, spectrum analyzer to analysis high-speed signal, power circuit and to debug board issues. Deep knowledge and design experience in complex SoC, DDR memory (up to LPDDR5), UFS, eMMC, Ethernet Switch, PHY, I2C, SPI, CAN, MIPI, GMSL, switching power regulator, etc. BOM release, and oversee PCB layout, and experience in PCB DFx. 3+ years of experience in using Linux shell and script. Experience in generating EDVT test plans that covers design requirements and has experience in executing the test plan. Experience supporting product manufacture during DV/PV/SOP phase. Deep experience in troubleshooting skills by using hardware tool, software tool. Excellent communication skills to collaborate with mechanical, electrical, firmware, embedded software, platform team, program management, and manufacturing teams. Advantageous: Previous experience with ADAS customer functions and/or HMI/Infotainment systems at a Tier-1 or OEM Knowledge/understanding high speed PCB layout, SI and PI simulation tool. Knowledge and hands-on experience at Linux BSP driver, e.g u-boot, boot load, kernel, root filesystem Knowledge of applicable safety standards including ISO26262 Educational Requirements: Bachelor's degree is required in the areas of Electrical Engineering, Automotive Engineering, Robotics, or other related technical fields Higher degree(s) preferred. Salary Range: The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors. Additional Compensation and Benefits: Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucid's equity program and/or a discretionary annual incentive program, subject to the rules governing such programs. (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.) Base Pay Range (Annual) $154,000-$211,750 USD By Submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice. If you are a California resident, please refer to our California Candidate Privacy Notice. To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes.

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. Open to recent graduates. Strong experience in applied deep learning including model architecture design, model training, data mining, and data analytics. 1-3 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. The base salary range for this full-time position is $174,720 - $295,680, 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.

Leading the future in luxury electric and mobility At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility. We plan to lead in this new era of luxury electric by returning to the fundamentals of great design - where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience. Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we're providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you. We are seeking a Behavior Planning Engineer, Autonomous Driving to join our world-class ADAS and Autonomous Driving team. This role is based in Newark, CA and requires employees to be onsite five days a week. As a Behavior Planning Engineer on Lucid's Autonomous Driving team, you will design and implement robust algorithms that enable safe, intelligent, and smooth driving decisions for our ADAS and autonomous systems. You will work at the intersection of planning, motion control, and perception, helping to define the behavior of our vehicles in real-world driving scenarios. Responsibilities: Design, prototype, test, and deploy state-of-the-art behavior planning algorithms for autonomous and assisted driving features. Develop and implement trajectory and route planning, optimization-based planning, and decision-making frameworks. Collaborate closely with perception, controls, localization, and systems teams to ensure robust and efficient integration of planning software. Drive innovation through the invention of novel algorithms and features that elevate the safety, comfort, and intelligence of Lucid vehicles. Support the validation and verification of behavior planning components in simulation, hardware-in-the-loop (HIL), and on-road testing environments. Required Qualifications: MS degree in Automotive Engineering, Aerospace Engineering, Mechanical Engineering, Robotics, or a related field (or equivalent experience). 2+ years of professional experience, or a Ph.D. in a relevant discipline. Strong C++ programming skills with a solid understanding of software engineering best practices. Deep knowledge of motion and behavior planning concepts including trajectory generation, route planning, and optimization techniques. Hands-on experience with embedded systems integration in robotics or automotive domains. Strong communication and problem-solving skills. Preferred Qualifications: Experience with middleware systems such as ROS or DDS. Proficiency in additional languages such as Python, Bash, MATLAB, or JavaScript. Familiarity with version control systems (e.g., Git) and modern development workflows. Experience in decision-making algorithms such as graph/tree search methods or AI-based planners. Prior work on scenario-based testing, MIL/SIL/HIL environments, or automated test frameworks. Exposure to CI tools such as Jenkins or GitLab CI. Salary Range: The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors. Additional Compensation and Benefits: Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucid's equity program and/or a discretionary annual incentive program, subject to the rules governing such programs. (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.) Base Pay Range (Annual) $154,000-$211,750 USD By Submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice. If you are a California resident, please refer to our California Candidate Privacy Notice. To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes.

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 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.

COUPLE DRIVING / MOBILE TECHNICIAN TEAMS POTENTIAL TAKE HOME PAY PER TEAM: UP TO  $70,000 ANNUALLY SIGN-ON BONUS FOR NEW DRIVING TEAMS:  $5,000.00 per team 100% TRAVEL ACROSS THE USA HCI is a national provider of occupational health services to corporations across the United States. HCI provides a critical service to ensure the health and safety of our clients and their employees while complying with OSHA regulations. Our core services include audiometric and respiratory screening services via our field technicians and fleet of mobile units. We are looking for couples interested in traveling and working together to provide health screenings at various industrial locations across the USA. This position is ideal for CDL A driving teams and recent retirees who would enjoy staying in comfortable hotels and using private facilities every night instead of sleeper trucks and travel centers. Limited mileage – see the USA from city to city, not just from the interstate! Requirements include: 100% travel 340+ days per year One team member must hold a CDL Class A with air brake endorsement Both team members must be competent in basic technical skills such as computer skills, internet, email etc. Both team members possess the physical ability to lift 25-50 lbs. and walk up to 150 yards 3-5 times per hour escorting groups of employees to mobile unit for screening services Maintain a professional appearance and demeanor while working without direct supervision Proficient knowledge of HCI health screening services and procedures.  (Training provided) HCI provides : Office and field training in order to conduct health screening services at our clients' work sites Medical scrubs to be worn while performing screening services A workweek consisting of 5 days of testing followed by a weekend of rest. Should testing be scheduled on a weekend (very rare), teams will be "paid back" with the equivalent time-off All power units are continually maintained and updated.  Power units typically are Dodge 4500, F-550, and F-650 or equivalent to transport mobile testing unit & available for technician use outside of work.  No semi-tractor, day cab or manual shifters  A monthly salary plus daily Per Diem (paid in full, weekly, to be used at employee’s discretion for meal and hotel expenses) Access to corporate hotel discounts. Job-related expenses paid back weekly Health Insurance and 401K plan (available after one year tenure) RESTRICTIONS No Pets.  No smoking inside the mobile testing unit or power unit. Job Type: Full-time and Seasonal positions Job Type: Full-time & Seasonal Positions Available Powered by JazzHR

Safety Driver – Autonomous Vehicle Operations Location:  Local in Austin, TX  Company: A Leading Developer in the Autonomous Vehicle and Delivery Robot Industry Assignment Length: 12-month contract Schedule & Pay: AM Shift: 6:00 AM – 2:30 PM | $20 – $25/hour PM Shift: 2:30 PM – 11:00 PM | $24 – $28/hour Job Overview: Seeking attentive and detail-oriented Safety Drivers to join! As a Safety Driver, you will help test and monitor autonomous vehicles ensure safety and performance on the road. This is a unique opportunity to work with cutting-edge technology that is shaping the future of mobility. Key Responsibilities: Safely operate autonomous vehicles to collect data on performance and environmental factors. Conduct daily vehicle safety checks and ensure system readiness. Monitor vehicle systems in real time and provide detailed reports. Interact professionally with engineers, operations leaders, and test riders. Respond quickly and appropriately to unexpected events or road hazards. Maintain a high level of alertness and avoid distractions at all times. Requirements: At least 3 years of U.S. driving experience with a valid driver’s license . Clean driving record (no DUIs or drug/alcohol offenses in the past 5 years). Proven ability to drive safely under varied road and weather conditions. Strong knowledge of local Austin traffic regulations . Excellent attention to detail and communication skills. High degree of personal responsibility and professionalism. Experience in one of the following is required : Autonomous vehicle operation Driving instruction Motorsports (e.g., ATVs, Side-by-Sides, dirt bikes) Preferred Qualifications: Familiarity with vehicle technology and control systems Certification in safe or defensive driving Data collection experience using technical tools Additional training in safety or defensive driving Benefits: Pre-tax commuter benefits Employer-subsidized healthcare Flexible Spending Account (FSA) Company-paid short & long-term disability and life insurance 401(k) retirement plan Interview Questions Preview: You may be asked about: Your professional driving experience in Austin Familiarity with Austin’s traffic rules Previous experience with autonomous vehicles or motorsports Comfort driving in all weather and on various road types Data collection tools you've used How you ensure high safety standards behind the wheel Any driving-related certifications or safety training Ready to Drive the Future? If you're passionate about vehicle innovation, safety, and autonomous technology, we want to hear from you. Apply now! Hiring Process is automated and fast, Once you apply with the Questionnaire you will be emailed next steps! Good luck! Powered by JazzHR

COUPLE DRIVING / MOBILE HEALTH TECHNICIAN TEAMS POTENTIAL TAKE HOME PAY PER TEAM: UP TO $70,000 ANNUALLY SIGN-ON BONUS FOR NEW DRIVING TEAMS: $5,000.00 per team 100% TRAVEL ACROSS THE USA HCI is a national provider of occupational health services to corporations across the United States. HCI provides a critical service to ensure the health and safety of our clients and their employees while complying with OSHA regulations. Our core services include audiometric and respiratory screening services via our field technicians and fleet of mobile units. We are looking for couples interested in traveling and working together to provide health screenings at various industrial locations across the USA. This position is ideal for CDL A driving teams and recent retirees who would enjoy staying in comfortable hotels and using private facilities every night instead of sleeper trucks and travel centers. Limited mileage – see the USA from city to city, not just from the interstate! Requirements include: 100% travel 340+ days per year. One team member must hold a CDL Class A with air brake endorsement. Both team members must be competent in basic technical skills such as computer skills, internet, email etc. Both team members possess the physical ability to lift 25-50 lbs. and walk up to 150 yards 3-5 times per hour escorting groups of employees to mobile unit for screening services. Maintain a professional appearance and demeanor while working without direct supervision. Proficient knowledge of HCI health screening services and procedures.  (Training provided) HCI provides : Office and field training in order to conduct health screening services at our clients' work sites. Medical scrubs to be worn while performing screening services. A workweek consisting of 5 days of testing followed by a weekend of rest. Should testing be scheduled on a weekend (very rare), teams will be "paid back" with the equivalent time-off.. All power units have been updated within the last 5 years to Dodge 4500, F650 or equivalent to transport mobile testing unit & available for technician use outside of work. No semi-tractor, day cab or manual shifters.   A monthly salary plus daily Per Diem (paid in full, weekly, to be used at employee’s discretion for meal and hotel expenses). Access to corporate hotel discounts. Job-related expenses paid back weekly. Health Insurance, 401K plan is available after one year tenure. RESTRICTIONS No Pets.  No smoking inside the mobile testing unit or power unit. Job Type: Full-time and Seasonal positions Job Type: Full-time & Seasonal Positions Available Powered by JazzHR

Save lives, from the workplace to anyplace. The National Safety Council is America ’ s leading safety advocate. We enable people to put everyday strategies in place to solve problems — at work. As a non-profit, our focus is on eliminating the leading causes of preventable death and injury. More specifically, NSC is focused on: Workplace Safety Roadway Security Impairment Every one of our employees is committed to helping people live their fullest lives, and right now we’re seeking someone to fill the role of Part-Time Instructors -   Defensive Driving Course (DDC) . Position Highlights: Our part-time instructors support our mission by teaching adult and teen-focused classroom courses about the importance of safe driving. Classes are conducted weekends, weekdays, and in the evening. Depending on the curriculum being taught, classes can range from four to eight hours of instruction time. Part-time instructors are able to choose their own schedule and teach as much or as little as they want. As a Part-Time Instructor you'll teach life-saving Driver Safety Course curriculum to a variety of motorists including those that may be state or court required to attend a mandatory driver retraining program. Full instructor certification training and materials are provided to qualified candidates. We’re Looking for Someone with:  Experience in public speaking with the ability to lead effective classroom discussions, and to be able to handle a diverse group of students. A background in sociology, psychology, counseling, or education Personal email address required for e-communication with our Instructor Portal & DDC Information Highway. The ability to deal with unexpected difficulties such as equipment failures, facility issues, individuals with learning or behavioral difficulties, and/or disruptions to class. Bilingual in English & Portuguese Weekend availability preferred Pay rate starts at $37/hr Continuous Recruitment Notice The National Safety Council continuously accepts applications for part-time instructors to establish a broad and diverse pool of available candidates. By submitting an application for this posting you are applying to be a part of NSC's pool for potential employment as an instructor. NSC is an equal opportunity employer. Powered by JazzHR