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Location: W Pahs Rd, Michigan City, IN 46360 Type: Part-Time  Please Note: Lessons occur from 12pm-9pm on weekdays, and 8am-9pm on weekends  Pay: $18/hour About Us:  Founded in 2017, Coastline Academy is the largest behind-the-wheel driver education company in the United States. Currently in 9 states and growing, we are a people-first, technology-centric company with a focus on transparency and efficiency. We are on a mission to rid the world of car crashes by teaching students to be safe and confident drivers for life. About This Role: In a company-provided vehicle, you will educate and advise students while teaching them the fundamentals of operating a car behind the wheel We'll assist you in obtaining the state-required driving instructor certification through our paid training program. Our training team will guide you through the requirements and provide the coursework to obtain your state license. All of our lessons are taught in a Coastline Car and recorded with a dashboard camera for the safety of you and your student The majority of the demand for driving lessons is in the afternoons and weekends as most of our students are on a school schedule. A typical day could consist of three, two-hour lessons. What does training entail?  Training will consist of 30 hours of learning (15 hours of at home reading and modules, 3 hours of admin tasks and 12 hours of behind-the-wheel training)  In-person behind-the-wheel training in a Coastline car in your local area You will shadow 3 in-car lessons as well as do 2 x 3 hours of training with a Certified Trainer Responsibilities: Teaching practical skills related to all aspects of driving Providing instruction on the rules of the road Helping students to develop confidence in their driving skills Gaining control of the vehicle during emergency situations Documenting and reporting on students' progress Maintaining timely communication with your supervisor and support team Maintaining professionalism with students and fellow team members Attending team meetings for updates and ongoing development Qualifications: A genuine passion for helping people learn Ability to remain calm in a learning environment A valid State Driver's License in the state you wish to work in High School Diploma or GED equivalent Ability to pass a background check, drug screen, and reference check  Must have 10 years of legal driving experience A strong safety mindset and strong reasoning ability Ability to give clear instruction, coach, communicate effectively to others Ability to focus for extended periods of time Physical Requirements: Must be able to sit for prolonged periods of time in a vehicle Must be able to see and hear during all weather conditions Must be able to bend, stoop, kneel, touch, feel Must be able to lift up to 25 pounds at times We are an Equal Opportunity Employer. That means that we support diversity and inclusion and do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by federal or state law or local ordinance.

REQUIREMENTS -must have at least 3 months Class A experience within the last 3 years (trucking school does not count) -no SAP drivers -accidents, violations, criminal history reviewed case by case JOB DETAILS -$1400-1800 weekly gross pay -Home Time: flexible scheduling to support work-life balance. Whether you prefer longer hauls to maximize earning potential or regionalized freight for more frequent home time, we'll work with your preferences. -2,000–2,200 miles per week+ -100% no-touch freight, with 50–60% drop & hook and 40–50% live unload. - 2021 or newer Freightliner Cascadias or Kenworths. - Average length of each haul: 400 miles. -Detention: $12.50 per hour after the second hour -Layover/Breakdown Pay: $100 per day -Performance Bonus: Earn up to an additional 3 CPM based on safety, mileage, and productivity -Full benefits, W2 position About The Company: J Rose Logistics provides expedited freight transportation services for shipping and delivery on critical loads throughout the continental US. We treat our drivers with the utmost respect and strive to provide them with the care they need. We are an equal opportunity employer! Our team is here to help, and we look forward to working with you.

Location: Lansdale, PA Type: Part-Time or Full-Time Please Note: Lessons occur from 12pm-9pm on weekdays, and 8am-9pm on weekends  Pay: $24/hour About Us:  Founded in 2017, Coastline Academy is the largest behind-the-wheel driver education company in the United States. Currently in 7 states and growing, we are a people-first, technology-centric company with a focus on transparency and efficiency. We are on a mission to rid the world of car crashes by teaching students to be safe and confident drivers for life. About This Role: In a company-provided vehicle, you will educate and advise students while teaching them the fundamentals of operating a car behind the wheel We'll assist you in obtaining the state-required driving instructor certification through our paid training program. Our training team will guide you through the requirements and provide the coursework to obtain your state license. All of our lessons are taught in a Coastline Car and recorded with a dashboard camera for the safety of you and your student The majority of the demand for driving lessons is in the afternoons and weekends as most of our students are on a school schedule. A typical day could consist of three, two-hour lessons. What does training entail?  Online Curriculum with Coastline Training team In-person behind-the-wheel training in a Coastline car in your local area with Operations Manager Responsibilities: Teaching practical skills related to all aspects of driving Providing instruction on the rules of the road Helping students to develop confidence in their driving skills Gaining control of the vehicle during emergency situations Documenting and reporting on students' progress Maintaining timely communication with your supervisor and support team Maintaining professionalism with students and fellow team members Attending team meetings for updates and ongoing development Qualifications: A genuine passion for helping people learn Ability to remain calm in a learning environment A valid State Driver's License in the state you wish to work in High School Diploma or GED equivalent Ability to pass a background check, drug screen, and reference check  Must have 10 years of legal driving experience A strong safety mindset and strong reasoning ability Ability to give clear instruction, coach, communicate effectively to others Ability to focus for extended periods of time Physical Requirements: Must be able to sit for prolonged periods of time in a vehicle Must be able to see and hear during all weather conditions Must be able to bend, stoop, kneel, touch, feel Must be able to lift up to 25 pounds at times We are an Equal Opportunity Employer. That means that we support diversity and inclusion and do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by federal or state law or local ordinance.

At Inceptive, you will drive development forward that could help billions of people. To accomplish this, you will be part of a collaborative, antedisciplinary team building our biological software. Our AI models learn to generate RNA molecules with improved therapeutic properties by training on natural and experimentally-derived data. Acquiring data relevant to RNA function at scale is a critical step in maximizing the performance of our models. We think broadly about the type and scale of data necessary to improve our models, then identify or invent the methods needed to acquire that data. You will design and analyze diverse biological datasets that enable AI models to generate RNA molecules, working closely with experimentalists to troubleshoot and scale in vitro assays. You will collaborate across disciplines, leveraging expertise in biochemistry, molecular biology, and drug development to deliver statistically robust results. You will also collaborate with biologists, ML and data engineers, software engineers, and translational experts to develop scalable data pipelines, automate analysis, and create foundational tools to enhance biological data generation. Your Mission, should you choose to accept it Embody our vision of an antedisciplinary environment and embrace learning about areas outside of your traditional area of expertise Work closely with experimental scientists to design experiments measuring diverse properties of designed RNAs Analyze, visualize, and communicate results, providing rapid feedback to optimize the utility of datasets for training and evaluating ML models Create, deploy, and refine tools for efficient, reliable data analysis in collaboration with software engineers Collaborate on validation of candidate therapeutic RNA molecules through rapid in vitro and in vivo testing Qualifications 3+ years experience applying computational methods to biological data Experience with a wide variety of data types encountered in molecular and cellular biology, such as sequencing, microscopy, chromatography, and time-course data Experience with identifying and understanding biological data analysis artifacts Highly capable programmer fluent in scientific Python ecosystem Availability to work with team members across US and Europe, with meetings starting at 8am PT Readiness to travel several times a year for company retreats and business events We value the benefits of in-person collaboration and expect candidates to primarily work at our office locations Preferred skills PhD in computer science, computational biology, or a related field, or equivalent practical experience (e.g., industry experience, research, or advanced technical expertise) Experience working with experimentalists to deliver quantitative, statistically robust results from biological assays Knowledge of biochemistry, molecular/cell biology, and drug development Proven ability to push the limits of data generation by deconstructing and optimizing instrumentation and assays Experience with analysis automation and data pipelining Compensation $135K – $240K + Bonus + Equity What we offer A competitive compensation package 30 days paid vacation per year Comprehensive health insurance and 401K with company match for US based Beginners, with comparable benefits for those based in other countries Quarterly company-wide retreats Monthly wellness benefit Budget for multiple visits per year to our offices in Berlin, Palo Alto or Switzerland Learning & Development budget to attend conferences, take courses, or otherwise invest in your professional growth, as well as access to the Learning & Development platform EdX and Hone A buddy to help you get settled *Varies by country At Inceptive, we are creating tools to develop increasingly powerful biological software for the rational design of novel, broadly accessible medicines and biotechnologies previously out of reach. Our team brings together vast expertise in molecular biology, machine learning, and software engineering, and we are all working towards becoming antedisciplinary, meaning we deepen the knowledge we have in our area of expertise while also expanding our knowledge of completely new fields. We approach our goals with a Beginner's mind, humbly and with fresh eyes, and aim to become the pioneers of a new discipline rooted in biology as much as in deep learning, whose impact will be realized together with out-of-the-box thinkers in business and entrepreneurship, defying established categorizations. We are building a company culture centered around growth, learning, and discovery. We believe in humility and open-mindedness in how we approach each other, as well as problems we don't yet have solutions for. It is the policy of Inceptive to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Inceptive prohibits any such discrimination or harassment. Inceptive is also committed to welcoming and providing accommodations to people with disabilities. Please let us know if you need any accommodations throughout your application process.

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. Requirements Operate a vehicle 6 - 8 hours a day, five days a week Flexible working shift hours required Flexibility with domestic travel up to 30% Capable of monitoring software systems with consistent focus Eager to learn new skills and technologies Strong communication skills, both verbal and written Comfortable with performing repeating tasks for several hours in a day High school diploma or GED minimum; Bachelor’s preferred Prior AV operational experience preferred but not required Must submit to a drug test and background check Must have and maintain a driving record that meets state AVT and/or other applicable regulations and laws Compensation: $27 - $30 Hourly Please click here for our privacy disclosure.

Location: 2830 S A.W. Grimes Blvd, Round Rock, TX 78664 Type: Part-Time  Pay: $20/hour  Please Note: Lessons happen between 12pm-9pm on weekdays and 8am-9pm on weekends  About Us:  Founded in 2017, Coastline Academy is the largest behind-the-wheel driver education company in the United States. Currently in 8 states and growing, we are a people-first, technology-centric company with a focus on transparency and efficiency. We are on a mission to rid the world of car crashes by teaching students to be safe and confident drivers for life. About This Role: In a company-provided vehicle, you will educate and advise students while teaching them the fundamentals of operating a car behind the wheel We'll assist you in obtaining the state-required driving instructor certification through our paid training program. Our training team will guide you through the requirements and provide the coursework to obtain your state license. All of our lessons are taught in a Coastline Car and recorded with a dashboard camera for the safety of you and your student The majority of the demand for driving lessons is in the afternoons and weekends as most of our students are on a school schedule. A typical day could consist of three, two-hour lessons. What does training entail?  Training will consist of 30 hours of learning (15 hours of at home reading and modules, 3 hours of admin tasks and 12 hours of behind-the-wheel training)  In-person behind-the-wheel training in a Coastline car in your local area You will shadow 3 in-car lessons as well as do 2 x 3 hours of training with a Certified Trainer Responsibilities: Teaching practical skills related to all aspects of driving Providing instruction on the rules of the road Helping students to develop confidence in their driving skills Gaining control of the vehicle during emergency situations Documenting and reporting on students' progress Maintaining timely communication with your supervisor and support team Maintaining professionalism with students and fellow team members Attending team meetings for updates and ongoing development Qualifications: A genuine passion for helping people learn Ability to remain calm in a learning environment A valid State Driver's License in the state you wish to work in High School Diploma or GED equivalent Ability to pass a background check, drug screen, and reference check  Must have 10 years of legal driving experience A strong safety mindset and strong reasoning ability Ability to give clear instruction, coach, communicate effectively to others Ability to focus for extended periods of time Physical Requirements: Must be able to sit for prolonged periods of time in a vehicle Must be able to see and hear during all weather conditions Must be able to bend, stoop, kneel, touch, feel Must be able to lift up to 25 pounds at times We are an Equal Opportunity Employer. That means that we support diversity and inclusion and do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by federal or state law or local ordinance.

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 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 a System Safety Engineer with a background in building risk models for ADAS, and/or autonomous driving. This engineer will define and manage the autonomy risk evaluation framework. 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 the risk evaluation framework and risk model for L4 trucking including identifying relevant metrics Lead efforts to deploy the risk model including tracing to data sources Lead efforts to establish credibility of the risk model including validation of the accuracy of the model Support safety analysis and improvements in safety architecture Work with verification and validation team to identify test plans to generate relevant evidence to support risk evaluation Work with software, data science and tools to ensure relevant metrics are being computed and measured 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 or Risk quantification MS/BS degree in Statistics, Aerospace, Computer Science, or equivalent required Expertise in application of quantitative models to autonomous or robotic applications 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 tools and methods for measuring performance and evaluating reliability and/or safety (RBD, qFTA, FMEDA) 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.

Location: Royersford, PA Type: Part-Time or Full-Time Please Note: Lessons occur from 12pm-9pm on weekdays, and 8am-9pm on weekends Pay: $24/hour About Us: Founded in 2017, Coastline Academy is the largest behind-the-wheel driver education company in the United States. Currently in 7 states and growing, we are a people-first, technology-centric company with a focus on transparency and efficiency. We are on a mission to rid the world of car crashes by teaching students to be safe and confident drivers for life. About This Role: In a company-provided vehicle, you will educate and advise students while teaching them the fundamentals of operating a car behind the wheel We'll assist you in obtaining the state-required driving instructor certification through our paid training program. Our training team will guide you through the requirements and provide the coursework to obtain your state license. All of our lessons are taught in a Coastline Car and recorded with a dashboard camera for the safety of you and your student The majority of the demand for driving lessons is in the afternoons and weekends as most of our students are on a school schedule. A typical day could consist of three, two-hour lessons. What does training entail? Online Curriculum with Coastline Training team In-person behind-the-wheel training in a Coastline car in your local area with Operations Manager Responsibilities: Teaching practical skills related to all aspects of driving Providing instruction on the rules of the road Helping students to develop confidence in their driving skills Gaining control of the vehicle during emergency situations Documenting and reporting on students' progress Maintaining timely communication with your supervisor and support team Maintaining professionalism with students and fellow team members Attending team meetings for updates and ongoing development Qualifications: A genuine passion for helping people learn Ability to remain calm in a learning environment A valid State Driver's License in the state you wish to work in High School Diploma or GED equivalent Ability to pass a background check, drug screen, and reference check Must have 10 years of legal driving experience A strong safety mindset and strong reasoning ability Ability to give clear instruction, coach, communicate effectively to others Ability to focus for extended periods of time Physical Requirements: Must be able to sit for prolonged periods of time in a vehicle Must be able to see and hear during all weather conditions Must be able to bend, stoop, kneel, touch, feel Must be able to lift up to 25 pounds at times We are an Equal Opportunity Employer. That means that we support diversity and inclusion and do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by federal or state law or local ordinance.

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.

Driving Instructor Location: 575 Prospect Street North San Carlos, CA 94070 Type: Part-Time/ Full-Time Pay: $17.32-$25/hour Please Note: Lessons take place between 12pm-9pm Mon-Fri and 8am-9pm Sat-Sun About Us: Founded in 2017, Coastline Academy is the largest behind-the-wheel driver education company in the United States. Currently in 9 states and growing, we are a people-first, technology-centric company with a focus on transparency and efficiency. We are on a mission to rid the world of car crashes by teaching students to be safe and confident drivers for life. About This Role: In a company-provided vehicle, you will educate and advise students while teaching them the fundamentals of operating a car behind the wheel We'll assist you in obtaining the state-required driving instructor certification through our paid training program. Our training team will guide you through the requirements and provide the coursework to obtain your state license. All of our lessons are taught in a Coastline Car and recorded with a dashboard camera for the safety of you and your student The majority of the demand for driving lessons is in the afternoons and weekends as most of our students are on a school schedule. A typical day could consist of three, two-hour lessons. What does training entail? Training will consist of 60 hours of learning (40 hours of at home reading and modules and 20 hours of behind-the-wheel training) In-person behind-the-wheel training in a Coastline car in your local area You will shadow 3 in-car lessons as well as do 3 x 4 hours of training with a Certified Trainer Responsibilities: Teaching practical skills related to all aspects of driving Providing instruction on the rules of the road Helping students to develop confidence in their driving skills Gaining control of the vehicle during emergency situations Documenting and reporting on students' progress Maintaining timely communication with your supervisor and support team Maintaining professionalism with students and fellow team members Attending team meetings for updates and ongoing development Qualifications: A genuine passion for helping people learn Ability to remain calm in a learning environment A valid State Driver's License in the state you wish to work in High School Diploma or GED equivalent Ability to pass a background check, drug screen, and reference check Must have 10 years of legal driving experience A strong safety mindset and strong reasoning ability Ability to give clear instruction, coach, communicate effectively to others Ability to focus for extended periods of time Physical Requirements: Must be able to sit for prolonged periods of time in a vehicle Must be able to see and hear during all weather conditions Must be able to bend, stoop, kneel, touch, feel Must be able to lift up to 25 pounds at times We are an Equal Opportunity Employer. That means that we support diversity and inclusion and do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by federal or state law or local ordinance.

Conviva is the first and best place to understand and optimize digital customer experiences. Our Operational Data Platform harnesses full-census, comprehensive client-side telemetry-capturing every aspect of customer experience and engagement across all devices and linking them to the performance of underlying services, in real-time and at a fraction of the cost of alternative solutions. Conviva computes quality of experience across all users and all devices, in real time. We combine user actions with app and system responses to give your technology, business, and operations teams AI-powered insights into any issues impacting user experience and engagement. Trusted by industry leaders like Disney, NBC, and the NFL, Conviva revolutionizes how businesses understand customer experience and engagement, maximizing satisfaction, conversion, and revenue. At Conviva, we're transforming the way companies understand and act on real-time performance and customer experience data. We're looking for a Solutions Consultant who thrives at the intersection of data, technology, and storytelling. In this customer-facing role, you'll empower our clients-media and entertainment giants-to unlock deeper insights, make smarter decisions, and become evangelists for Conviva's platform. You'll act as a trusted advisor to product managers, data scientists, and technical leaders-guiding them to real-time actionability, delivering training that builds product champions, and driving measurable outcomes across the digital experience lifecycle. What Success Will Look Like: Drive customer outcomes that lead to successful renewals and expansions by aligning use case delivery with business goals and demonstrating ongoing value. Lead onboarding and discovery to understand customer goals, map use cases, and drive time-to-value. Deliver engaging, narrative-driven presentations that connect Conviva's platform to customer impact. Train and enable users across roles-from engineering to executive-to build lasting platform expertise and trust. Collaborate with Product, and Engineering to close feedback loops and influence roadmaps. Leverage product analytics, observability metrics, and customer data to surface insights that drive growth and retention. Actively identify expansion opportunities by understanding product usage trends and customer pain points. Produce RCA reports, QBRs, and best practices documentation that reinforce Conviva's value proposition. Who You Are & What You've Done: 5+ years in a customer-facing, technical consulting, technical account management, customer success or solutions engineering role in a SaaS environment. Experience working with analytics platforms such as NPAW, MUX, Amplitude, Mixpanel, Quantum Metric, Content Square or Adobe Analytics Strong communication and relationship-building skills-you know how to engage stakeholders at all levels. Demonstrated success in helping customers turn data into action, ideally in a product-led analytics or observability context. Passion for teaching, problem-solving, and continuous learning. Approximately 20% travel required, based on business needs. Bonus Points: Background in media streaming, OTT, or video QoE platforms. Experience with scripting (e.g., Python, JS) or integrating APIs. Hands-on experience with statistical methods, SQL, or data visualization. Familiarity with A/B testing frameworks or digital optimization tools. The expected salary range for this full-time position in the SF Bay Area is $125,000- $165,000 + equity + benefits. Compensation is determined by numerous factors such as your qualifications, experience, relevant education, and work location. Underpinning the Conviva platform is a rich history of innovation. More than 60 patents represent award-winning technologies and standards, including first-of-its kind-innovations like time-state analytics and AI-automated data modeling, that surfaces actionable insights. By understanding real-world human experiences and having the ability to act within seconds of observation, our customers can solve business-critical issues and focus on growing their business ahead of the competition. Examples of the brands Conviva has helped fuel streaming growth for include: DAZN, Disney+, HBO, Hulu, NBCUniversal, Paramount+, Peacock, Sky, Sling TV, Univision and Warner Bros Discovery. Privately held, Conviva is headquartered in Silicon Valley, California with offices and people around the globe. For more information, visit us at www.conviva.com. Join us to help extend our leadership position in big data streaming analytics to new audiences and markets!

Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy such a robotaxi solution. Zoox’s System Design and Mission Assurance (SDMA) team is responsible for constructing the safety case for each milestone. We play a foundational role for the success of the company. As a manager of systems engineers at Zoox, you will be working with members of the system safety and software development teams to design, develop, and deploy systems that enable and support autonomous driving. You are responsible for ensuring these systems are developed within a process that results in end-to-end traceability and the achievement of both system safety targets and product requirements. In this role, you will: Lead, manage, and grow a team of Systems Engineers who have expertise on the autonomous driving system safety case. Contribute to the definition, development, and evolution of the Safety Case of Zoox technology ahead of every development milestone, in close collaboration with cross-functional teams - in particular the AI software team who develops the autonomous driving software. Partner closely with cross-functional teams to continuously identify opportunities to improve, adapt, and apply the System Safety engineering process to guide and ensure the safe deployment of Level 5 autonomous driving technology. Perform hazard analysis using System-theoretic Process Analysis (STPA) to identify potential causes of safety issues that may affect the safety of autonomous driving in various Operational Design Domains. Use STPA outputs to inform test scenarios and coverage. Perform probabilistic risk assessment to quantify the safety risk associated with autonomous driving Identify and manage safety requirements where applicable. Ensure end-to-end traceability and produce a closed-loop Safety Case. Qualifications M.S. or higher degree in an relevant engineering discipline or computer science At least 7 years of relevant professional experiences in the fields of System Safety or Systems Engineering including a minimum of 2 years managing a team Have performed hazard analysis using one or more of the following methods: System Theoretic Process Analysis (STPA), qualitative or quantitative Fault Tree Analysis (FTA), Failure Modes and Effects Analysis (FMEA), Hazard and Operability Analysis (HAZOP), Functional Hazard Analysis (FHA), etc. Proficient in risk quantification, probability, and statistics Collaborative team player with strong written and in-person communication skills Bonus Qualifications System Engineering or System Safety experience with autonomous driving systems Hands-on experience applying relevant industry safety standards such as ISO 26262, ISO 21448, DO-178, etc. Certification for relevant industry safety standards Compensation and Benefits There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary range for this position is $201,000 to $253,000. A sign-on bonus may be offered as part of the compensation package. 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 accommodations@zoox.com 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.

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.

Location: 2301 w Anderson Ln, Austin, TX 78757 Type: Part-Time Please Note: Lessons occur from 12pm-9pm on weekdays, and 8am-9pm on weekends Pay: $20/hour About Us: Founded in 2017, Coastline Academy is the largest behind-the-wheel driver education company in the United States. Currently in 7 states and growing, we are a people-first, technology-centric company with a focus on transparency and efficiency. We are on a mission to rid the world of car crashes by teaching students to be safe and confident drivers for life. About This Role: In a company-provided vehicle, you will educate and advise students while teaching them the fundamentals of operating a car behind the wheel We'll assist you in obtaining the state-required driving instructor certification through our paid training program. Our training team will guide you through the requirements and provide the coursework to obtain your state license. All of our lessons are taught in a Coastline Car and recorded with a dashboard camera for the safety of you and your student The majority of the demand for driving lessons is in the afternoons and weekends as most of our students are on a school schedule. A typical day could consist of three, two-hour lessons. What does training entail? Training will consist of 30 hours of learning (15 hours of at home reading and modules, 3 hours of admin tasks and 12 hours of behind-the-wheel training) In-person behind-the-wheel training in a Coastline car in your local area You will shadow 3 in-car lessons as well as do 2 x 3 hours of training with a Certified Trainer Responsibilities: Teaching practical skills related to all aspects of driving Providing instruction on the rules of the road Helping students to develop confidence in their driving skills Gaining control of the vehicle during emergency situations Documenting and reporting on students' progress Maintaining timely communication with your supervisor and support team Maintaining professionalism with students and fellow team members Attending team meetings for updates and ongoing development Qualifications: A genuine passion for helping people learn Ability to remain calm in a learning environment A valid State Driver's License in the state you wish to work in High School Diploma or GED equivalent Ability to pass a background check, drug screen, and reference check Must have 10 years of legal driving experience A strong safety mindset and strong reasoning ability Ability to give clear instruction, coach, communicate effectively to others Ability to focus for extended periods of time Physical Requirements: Must be able to sit for prolonged periods of time in a vehicle Must be able to see and hear during all weather conditions Must be able to bend, stoop, kneel, touch, feel Must be able to lift up to 25 pounds at times We are an Equal Opportunity Employer. That means that we support diversity and inclusion and do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by federal or state law or local ordinance.

Location: Irvine, CA 18150 Von Karman Ave Irvine, CA 92612 Type: Part-Time Please Note: Lessons occur from 12pm-9pm on weekdays, and 8am-9pm on weekends Pay: $20/hour About Us: Founded in 2017, Coastline Academy is the largest behind-the-wheel driver education company in the United States. Currently in 7 states and growing, we are a people-first, technology-centric company with a focus on transparency and efficiency. We are on a mission to rid the world of car crashes by teaching students to be safe and confident drivers for life. About This Role: In a company-provided vehicle, you will educate and advise students while teaching them the fundamentals of operating a car behind the wheel We'll assist you in obtaining the state-required driving instructor certification through our paid training program. Our training team will guide you through the requirements and provide the coursework to obtain your state license. All of our lessons are taught in a Coastline Car and recorded with a dashboard camera for the safety of you and your student The majority of the demand for driving lessons is in the afternoons and weekends as most of our students are on a school schedule. A typical day could consist of three, two-hour lessons. What does training entail? Training will consist of 60 hours of learning (40 hours of at home reading and modules and 20 hours of behind-the-wheel training) In-person behind-the-wheel training in a Coastline car in your local area You will shadow 3 in-car lessons as well as do 3 x 4 hours of training with a Certified Trainer Responsibilities: Teaching practical skills related to all aspects of driving Providing instruction on the rules of the road Helping students to develop confidence in their driving skills Gaining control of the vehicle during emergency situations Documenting and reporting on students' progress Maintaining timely communication with your supervisor and support team Maintaining professionalism with students and fellow team members Attending team meetings for updates and ongoing development Qualifications: A genuine passion for helping people learn Ability to remain calm in a learning environment A valid State Driver's License in the state you wish to work in High School Diploma or GED equivalent Ability to pass a background check, drug screen, and reference check Must have 10 years of legal driving experience A strong safety mindset and strong reasoning ability Ability to give clear instruction, coach, communicate effectively to others Ability to focus for extended periods of time Physical Requirements: Must be able to sit for prolonged periods of time in a vehicle Must be able to see and hear during all weather conditions Must be able to bend, stoop, kneel, touch, feel Must be able to lift up to 25 pounds at times We are an Equal Opportunity Employer. That means that we support diversity and inclusion and do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by federal or state law or local ordinance.

Location: 25350 Magic Mountain Parkway, Valencia, CA, 91355 Type: Part-Time or Full-Time Shift: Lessons take place weekdays between 12-9 pm and weekends between 8 am and 9 pm. Pay: $20/hour About Us: Founded in 2017, Coastline Academy is the largest behind-the-wheel driver education company in the United States. Currently in 7 states and growing, we are a people-first, technology-centric company with a focus on transparency and efficiency. We are on a mission to rid the world of car crashes by teaching students to be safe and confident drivers for life. About This Role: In a company-provided vehicle, you will educate and advise students while teaching them the fundamentals of operating a car behind the wheel We'll assist you in obtaining the state-required driving instructor certification through our paid training program. Our training team will guide you through the requirements and provide the coursework to obtain your state license. All of our lessons are taught in a Coastline Car and recorded with a dashboard camera for the safety of you and your student The majority of the demand for driving lessons is in the afternoons and weekends as most of our students are on a school schedule. A typical day could consist of three, two-hour lessons. What does training entail? Training will consist of 60 hours of learning (40 hours of at home reading and modules and 20 hours of behind-the-wheel training) In-person behind-the-wheel training in a Coastline car in your local area You will shadow 3 in-car lessons as well as do 3 x 4 hours of training with a Certified Trainer Responsibilities: Teaching practical skills related to all aspects of driving Providing instruction on the rules of the road Helping students to develop confidence in their driving skills Gaining control of the vehicle during emergency situations Documenting and reporting on students' progress Maintaining timely communication with your supervisor and support team Maintaining professionalism with students and fellow team members Attending team meetings for updates and ongoing development Qualifications: A genuine passion for helping people learn Ability to remain calm in a learning environment A valid State Driver's License in the state you wish to work in High School Diploma or GED equivalent Ability to pass a background check, drug screen, and reference check Must have 10 years of legal driving experience A strong safety mindset and strong reasoning ability Ability to give clear instruction, coach, communicate effectively to others Ability to focus for extended periods of time Physical Requirements: Must be able to sit for prolonged periods of time in a vehicle Must be able to see and hear during all weather conditions Must be able to bend, stoop, kneel, touch, feel Must be able to lift up to 25 pounds at times We are an Equal Opportunity Employer. That means that we support diversity and inclusion and do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by federal or state law or local ordinance.

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) $145,600-$200,200 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.