CDL | Hourly Pay with OT | FREE benefits (Operations Specialist)

🏢 Summary: Operations Specialist role supporting autonomous truck testing and commercial freight operations by safely operating self-driving trucks, monitoring system performance, and maintaining strict safety standards. The position offers competitive hourly compensation, bonus opportunities, full healthcare coverage, and retirement benefits. 🗂️ Requirements: 7+ years of Class A driving experience, Valid Class A CDL, Airbrake Endorsement, Current DOT Medical Certificate, Strictly clean MVR, No moving violations within the last 7 years, Ability to pass drug and alcohol screening, Ability to pass sleep apnea screening 📃 Skills: CDL, DOT, Airbrake, Smartphone, Tablet 🏢 Description: About Stack: Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. Stack's autonomous technology incorporates cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies, empowering the creation of innovative solutions for the trucking transportation industry. About the Team: The Development Fleet Operations team is responsible for the safe testing and operation of the newest technologies. As an Operations Specialist you will contribute to the daily driving and testing of autonomous trucks, own the safety of the operation, and provide feedback on system performance and behaviors while hauling commercial freight. Responsibilities: - Safely operate autonomous trucks on the public roads to support development testing and commercial pilot operations. - Haul commercial freight between customer locations and/or meet points. - Provide feedback on system performance to advance self-driving technology. - Utilize internal tools on a smartphone/tablet to track work assigned and completed. - Uphold industry-leading safety standards, remaining compliant with internal benchmarks. - Remain alert and attentive while operating during extended stretches of autonomy. Benefits & Perks: - Compensation: $32.00 – $37.00/hr + Annual Bonus + Profit Sharing - Stack covers 100% of Medical, Dental, and Vision for employees and their families. - 401(k) plan with generous company match and annual profit-sharing contribution. - Open PTO policy and 11 paid company holidays. - 100% no-touch freight with no loading or unloading of trailers. Qualifications & Safety Standards: - 7+ years of Class A driving experience. - Valid Class A CDL with Airbrake Endorsement and current DOT Medical Certificate. - Strictly clean MVR with no history of reckless driving, leaving the scene of an accident, or license suspensions/revocations. - No moving violations within the last 7 years, including speeding, running red lights/stop signs, failure to yield, tailgating, improper turns/lane changes, distracted driving, seat belt violations, or unlawful passing. - Must pass pre-employment drug/alcohol screening and sleep apnea screening. The workplace is committed to equal opportunity, inclusion, entrepreneurship, and innovation across gender, race, age, sexual orientation, religion, disability, and identity. Please Note: This position may be contingent upon verification of residence, U.S. person status, and/or citizenship status due to applicable U.S. national security laws and export control regulations.

🏢 Summary: The Autonomous Fleet Specialist supports development and production operations of autonomous trucking systems, ensuring safe, efficient, and precise fleet performance. The role focuses on fleet monitoring, troubleshooting complex systems, managing operational data, and assisting with AV system setup in a Linux-based environment. Night and weekend work is required, with limited travel. 🗂️ Requirements: Experience debugging and working within complex systems, Proficiency with Linux systems and command line tools, Basic knowledge of computer networking, Experience using Google Office tools (Docs, Sheets, Drive), Ability to work nights and weekends, Strong problem-solving and critical thinking skills, Ability to manage and update data in a Truck Management System, Experience creating and maintaining SOP documentation 📃 Skills: Linux, Networking, CommandLine, GoogleSheets, GoogleDocs, GoogleDrive, FleetManagement, Troubleshooting, SOP, AI 🏢 Description: As an Autonomous Fleet Specialist, you will assist development and production operations in a safe, efficient, and precise manner. This role is based in Lancaster, TX and will have some limited travel required. In this role, you will: - Communicate with multiple Operations team members in an energetic and courteous manner. - Manage and update information within the company's Truck Management System. - Create and maintain SOP documentation for operations processes. - Develop and improve monitoring and auditing of fleet issues, providing technical insights to the engineering team on key issues and suggested improvements. - Assist with AV system setup, including cross-checks through checklists and required health checks. What you'll bring: - Ability to work under high-stress situations while exercising good judgment. - Strong critical thinking and problem-solving skills, with experience debugging and working within complex systems. - Knowledge of Google Office tools such as spreadsheets, docs, and drive. - Excellent organizational skills with the ability to prioritize and multitask. - Comfort working in Linux-based systems and basic computer networking, including experience using Linux command line tools and demonstrating common Linux commands. - Availability to work nights and weekends. What we offer: - A goal-driven and fast-paced environment with supportive teammates. - Equity and competitive pay. - Excellent medical, dental, and vision benefits. - Generous PTO and parental leave policies. Pay Range: $70,000 - $76,000 USD

🏢 Summary: IT Operations Specialist role focused on supporting production systems, ensuring stable and secure software releases, and handling incident management in collaboration with development and release teams. The position involves monitoring, troubleshooting, and maintaining microservices-based environments using modern DevOps and containerization technologies. 🗂️ Requirements: Experience with Docker, Experience with Kubernetes, Experience with CI/CD tools (Jenkins), Experience with GitHub or Bitbucket, Hands-on experience with Kafka, Basic knowledge of SQL, Knowledge of LDAP, Kerberos, JWT, Knowledge of OpenSSL and keytool, Understanding of HTTPS, Experience with Splunk, Experience with Prometheus, InfluxDB, or Grafana, Understanding of microservices architecture 📃 Skills: Docker, Kubernetes, Jenkins, GitHub, Bitbucket, Kafka, SQL, LDAP, Kerberos, JWT, OpenSSL, keytool, HTTPS, Splunk, Prometheus, InfluxDB, Grafana, Microservices, PostgreSQL 🏢 Description: Job Description: We are looking for an IT Operations Specialist to support the maintenance and delivery of systems in a production environment. The role involves close collaboration with development and release teams to ensure stable and secure system operations. Responsibilities: Supporting Release Management in delivering software to the production environment Monitoring, investigating, and resolving issues in production systems Handling incidents and performing root cause analysis (RCA) Acting as L2 support for incident management Requirements (must-have): Experience with Docker and Kubernetes Familiarity with CI/CD tools such as Jenkins Experience with code repositories: GitHub or Bitbucket Hands-on experience with Kafka Basic understanding of SQL Knowledge of authentication and authorization mechanisms (LDAP, Kerberos, JWT) Understanding of cryptography tools (OpenSSL, keytool) Knowledge of secure communication protocols (HTTPS) Experience with logging tools (Splunk) Familiarity with monitoring and alerting tools (Prometheus, InfluxDB, Grafana) Understanding of microservices architecture Good interpersonal and communication skills Nice to have: Experience with PostgreSQL What we offer: Opportunity to work with modern technologies Involvement in large-scale, impactful projects Professional growth and development opportunities Collaboration within an experienced and supportive team

🏢 Summary: The role involves developing and enhancing a language proficiency testing platform as part of an agile team, focusing on scalable backend and cross-platform frontend solutions. The position requires strong experience in microservices, serverless architecture, CI/CD, and cloud-based systems, along with active participation in code reviews and technical decision-making. You will work on improving code quality, testing practices, and system reliability in a remote or hybrid model. 🗂️ Requirements: 7+ years of software development experience, Fluency in English, Experience with microservices architecture, Experience with serverless architecture, Experience with CI/CD pipelines, Strong knowledge of unit, integration, and E2E testing, Strong knowledge of Java and related frameworks, Experience with relational databases and MongoDB, Experience with messaging systems (AWS SQS required), Strong knowledge of JUnit, Knowledge of backend security best practices and OWASP, Experience with AWS cloud services, Experience with Docker, Experience with cross-platform frontend development, Experience with Angular and React ecosystems 📃 Skills: Java, Play, Spring, SBT, Maven, Gradle, MongoDB, SQL, SQS, RabbitMQ, Kafka, JUnit, OWASP, AWS, Docker, Selenium, Sonar, Angular, TypeScript, React, Redux, MUI, Electron, Axios, Jest, Vitest, Karma, Jasmine 🏢 Description: Full Stack Developer will involve developing and enhancing a platform designed for conducting language proficiency tests. Your responsibilities: Work on an agile engineering team, following Agile best practices while writing maintainable and scalable code and influencing team decisions Collaborate with stakeholders to design and test new product functionalities Review the code of other team members and provide constructive direction. Promote a culture of sharing through mentoring and knowledge exchange Drive continuous improvement of code quality, customer experience, and maintainability of products/features Independently clarify technical requirements, assess development estimates, and apply a broad range of design approaches We are looking for you, if you have: 7+ years of experience Fluency in English is a must Experience on Microservice and Serverless architecture Experience on CI/CD practices Solid testing knowledge – E2E, unit testing, integration testing, etc. Technicall skills: Java: Play3 Framework/Spring Boot SBT, Maven, Gradle MongoDB and Relational Databases Bus messaging systems. AWS SQS is a must, but other technologies like RabbitMQ and Kafka will also be considered Strong Junit knowledge Backend security best practices, including familiarity with OWASP Experience with AWS technologies, Docker, Selenium, Sonar Cross-platform development Angular 13 + TypeScript React + Redux + Material UI (MUI) + TypeScript Electron Axios Jest, Vitest, Karma and Jasmine We offer: Participation in interesting and demanding projects Flexible working hours A great, non-corporate atmosphere Stable employment conditions (contract of employment or B2B contract) Opportunities for development and promotion Attractive package of benefits Work model: remote or hybrid (2 days per week from the office) We reserve the right to contact the selected candidates.

🏢 Summary: Senior Data Scientist role focused on developing and validating evaluation frameworks, metrics, and statistical methodologies for autonomous vehicle performance and safety readiness. The position involves analyzing large-scale simulation and on-road data, improving testing coverage, and applying ML and statistical techniques to strengthen evaluation systems for driverless robotaxis. The role collaborates closely with engineering, safety, and simulation teams to support launch readiness and scalable autonomous system validation. 🗂️ Requirements: 5+ years of industry experience working with large datasets, Bachelor’s degree in Computer Science, Data Science, Robotics, Mathematics, Physics, Computer Engineering, or related quantitative field, Strong Python skills, Strong SQL skills, Experience with data analysis libraries, Experience applying statistical and machine learning methods, Experience with statistical analysis and hypothesis testing, Experience with causal analysis, Ability to independently drive projects from definition to results, Strong communication skills for technical findings presentation 📃 Skills: Python, SQL, AWS, Transformers, MachineLearning, DeepLearning, Statistics, Simulation, SOTIF, ISO21448, ISO26262, MLOps 🏢 Description: Mission Summary The Systems Readiness and Performance team is responsible for driving system design, verifying and validating the autonomy stack, and defining, measuring, and validating system performance targets for fully driverless IONIQ 5 robotaxis in Las Vegas. Rigorous behavioral and system performance evaluation is critical to scaling the service and achieving long-term goals. The team is seeking a Senior Data Scientist to lead initiatives that improve evaluation and testing methodologies, measure the quality and trustworthiness of the evaluation portfolio, and partner with engineering teams to monitor and strengthen the health of the evaluation ecosystem. In this role, you will lead development of evaluation methodologies and metrics that assess the quality and business relevance of solutions spanning on-road and off-board data. You will influence evaluation signals used to validate autonomy stack improvements, conduct deep-dive analyses to understand bottlenecks in current methodologies, and prototype improvements in metrics, sampling strategy, and statistical inference. What You'll Be Doing: - Lead the development of evaluation frameworks for the autonomous system using rigorous, data-driven approaches. - Collaborate with Functional Safety and Systems Engineering teams to align evaluation metrics with automotive safety standards such as SOTIF and ISO 21448. - Ensure evaluation metrics are reliable enough to support safety cases and launch readiness decisions. - Monitor evaluation metrics and incoming performance data for drift, inconsistencies, and degradation. - Drive performance analysis using statistical methods for simulation and on-road data. - Develop statistical analysis methods for AV performance data. - Partner with triage operators and simulation engineers to convert disengagements and edge cases into simulation scenarios. - Use fleet and evaluation data to identify edge cases and coverage gaps. - Build confidence in the evaluation framework through data-driven insights and communication with stakeholders. - Establish correlation between on-road and simulation data. - Analyze large datasets to solve ambiguous performance questions. - Establish self-service tooling for developers to evaluate the impact of changes. - Develop metrics, interpret trends, and investigate anomalies in simulation and on-road data. - Collaborate with developers to drive actions based on evaluation results. - Promote data-aware decision making and best practices. - Mentor engineers and foster collaboration. - Introduce ML methods for scalable performance evaluation. What You Bring: - 5+ years of industry experience solving complex problems with large datasets. - Bachelor’s or higher degree in a quantitative field; Master’s or PhD preferred. - Strong problem-solving skills. - Strong Python and SQL skills. - Experience using data analysis libraries with large datasets. - Experience applying advanced statistical and ML methods. - Experience with statistical analysis, hypothesis testing, causal analysis, and data analysis. - Ability to work independently and drive projects to actionable results. - Strong communication and interpersonal skills. - Willingness to learn and teach new statistical and ML techniques. Bonus Points: - Experience with adversarial scenario generation and closed-loop simulation environments. - Experience in autonomous driving or robotics. - Familiarity with data pipelines and distributed compute such as AWS. - Expertise in Machine Learning and Deep Learning. - Expertise in sequence modeling and probabilistic ML. - Familiarity with automotive safety standards such as ISO 26262 or ISO 21448. Benefits: - Hybrid schedule with optional fully remote work. - Medical, dental, and vision coverage. - 401k with company match. - Health savings accounts. - Life insurance. - Pet insurance. - Bonus and equity opportunities may apply. - Salary range: $149,000—$198,500 USD.

🏢 Summary: Senior Data Scientist role focused on developing and improving evaluation frameworks, statistical methodologies, and performance metrics for autonomous vehicle systems. The position involves analyzing large-scale simulation and on-road data, validating safety and launch readiness, and collaborating with engineering teams to strengthen autonomous system evaluation. Candidates will work with ML and statistical methods to improve testing coverage, identify edge cases, and support scalable performance validation for robotaxi deployment. 🗂️ Requirements: 5+ years of industry experience with large-scale data analysis, Bachelor’s degree in Computer Science, Data Science, Robotics, Mathematics, Physics, Engineering, or related quantitative field, Strong Python skills, Strong SQL skills, Experience with statistical analysis and hypothesis testing, Experience applying machine learning methods to large datasets, Ability to develop rigorous data-driven analyses, Experience working independently and driving projects end-to-end, Strong communication skills for technical stakeholder collaboration 📃 Skills: Python, SQL, AWS, ML, Statistics, Transformers, Simulation, Robotics, SOTIF, ISO26262, ISO21448, MLOps 🏢 Description: Mission Summary The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. The team is responsible for driving system design, verifying and validating the autonomy stack, and defining, measuring, and validating system performance targets. The role works closely with stakeholders in autonomy, infrastructure, and operations to build the safety case for the commercial launch of fully driverless IONIQ 5 robotaxis in Las Vegas. Rigorous behavioral and system performance evaluation is critical to scaling the service and achieving long-term goals. The Senior Data Scientist will lead initiatives that improve evaluation and testing methodologies, measure the quality and trustworthiness of the evaluation portfolio, and partner with engineering teams to monitor and strengthen the health of the evaluation ecosystem. What You'll Be Doing - Lead the development of evaluation frameworks for the autonomous system using rigorous, data-driven approaches. - Collaborate with Functional Safety and Systems Engineering teams to align evaluation metrics with automotive safety standards such as SOTIF and ISO 21448. - Ensure evaluation metrics are reliable enough to inform safety cases and launch readiness decisions. - Monitor the reliability of evaluation metrics and incoming performance data over time, including drift detection and inconsistencies. - Drive performance analysis using statistical methods for simulation and on-road data. - Develop new statistical analysis methods to analyze autonomous vehicle performance data. - Partner with triage operators and simulation engineers to convert disengagements and edge cases into simulation scenarios. - Identify edge cases and coverage gaps using fleet and evaluation data. - Build confidence in the evaluation framework through data-driven insights and communication with stakeholders. - Establish correlation between on-road and simulation data. - Analyze large datasets to solve ambiguous performance questions and communicate findings. - Establish self-service evaluation tools for developers. - Develop new metrics, investigate anomalies, and collaborate with developers on performance improvements. - Promote data-aware decision making and best practices. - Mentor engineers and support a collaborative work environment. - Introduce ML methods for performance evaluation where beneficial. What You Bring - 5+ years of industry experience solving complex problems with large datasets. - Bachelor’s or higher degree in Computer Science, Computer Engineering, Data Science, Robotics, Physics, Mathematics, or related quantitative field. - Strong problem-solving skills and logical thinking. - Strong Python and SQL skills with experience using data analysis libraries. - Experience applying advanced statistical and ML methods to large datasets. - Experience with statistical analysis, hypothesis testing, causal analysis, and data analysis. - Ability to work independently and drive projects from definition to actionable results. - Strong communication and interpersonal skills. - Willingness to learn and teach new statistical and ML techniques. Bonus Points - Experience with adversarial scenario generation and closed-loop simulation. - Experience in autonomous driving or robotics. - Familiarity with distributed compute and data pipelines such as AWS. - Expertise in Machine Learning and Deep Learning. - Expertise in sequence modeling and probabilistic ML. - Familiarity with automotive safety standards such as ISO 26262 and ISO 21448. Benefits - Hybrid or fully remote work options. - Medical, dental, and vision coverage. - 401k with company match. - Health savings accounts. - Life insurance. - Pet insurance. - Bonus and equity opportunities may be available. - Salary range: $149,000–$198,500 USD.

🏢 Summary: Senior Full Stack Developer role focused on designing and developing web applications in a microservices-based, cloud-native environment. The position involves building reactive front-end solutions with React and robust backend services using Java and Spring, within containerized and DevOps-driven ecosystems. Fully remote, full-time B2B contract. 🗂️ Requirements: BSc in Software Engineering or BS in Computer Science, 6+ years of experience with Java and Spring, 5+ years of experience with modern JavaScript frameworks, Practical experience with React, Experience with functional programming and Java Streams, 2+ years of experience with TDD/BDD (JUnit, Jasmine, Mockito, Protractor or Selenium), 2+ years of experience with microservices architecture and Spring Boot/Cloud, Experience with DevOps practices and Jenkins, Experience designing and deploying cloud or hybrid solutions, Experience with container-based environments, Knowledge of microservices design patterns 📃 Skills: Java, Spring, SpringBoot, SpringCloud, React, JavaScript, Kotlin, Jenkins, JUnit, Jasmine, Mockito, Protractor, Selenium, Kubernetes, CloudFoundry, Microservices, Docker, TDD, BDD 🏢 Description: 💰 8.400-9.240 USD/Month 🌎 Fully Remote, Full-Time ☑️ B2B Contract We’re looking for a Senior Full Stack Developer ! Our client is an international company – a pioneer in container shipping. They are distinguished by their unique strategy as a digital-oriented, asset-light, global niche carrier that offers distinctive advantages, allowing the company to provide innovative and premium customer-centric services while maximizing profitability. In a dynamic shipping and logistics environment, the company has set itself apart as a carrier with a fresh, unique approach. Requirements: BSc in Software Engineering or a BS degree in Computer Science. 6+ years of experience in the following technologies: Java, Spring Experience with Functional Programming and Java Streams. 5+ years of experience in FE development with modern JavaScript Framework/libraries (practical experience with React is a must). Experience with developing a reactive UI (ReactJS). 2+ years of experience in TDD/BDD development in the following frameworks: Junit, Jasmin, Mockito, Protractor/Selenium 2+ years of experience in microservices-based architecture and tools (Spring Boot/Cloud) Experience in DevOps development and Jenkins. Experience in development in Kotlin is a big advantage. Experience in designing, developing, and deploying cloud/hybrid-based solutions. Experience in developing and deploying in container-based environments (Kubernetes, Cloud Foundry). Familiarity with the following design concepts: micro-services, service discovery, circuit breaker. Self-starter with the ability to appropriately prioritize and plan complex work in a rapidly changing environment. Versatility and the capability to switch easily between different tasks and technologies. Experience in assessing a broad range of information solutions and products. Strong critical thinker with problem-solving aptitude. Excellent English - verbal and written. Responsibilities: Design and develop Web applications. Develop from specifications supplied or create your own specification based on requirements. Reports progress on a regular basis to the Team Leader. Responsible for planning daily schedules and efficient use of time to ensure deliverables are met. Responsible for unit testing of own code to a level acceptable for Quality Assurance testing, where basic functions work per the requirements.

🏢 Summary: Lead the research, architecture, and deployment of advanced motion planning and control systems for production autonomous vehicles operating in complex environments. The role focuses on developing state-of-the-art probabilistic and search-based algorithms, building high-performance C++ systems, and driving cross-functional integration across the full autonomy stack. Ideal for a senior robotics expert passionate about scaling safe and comfortable autonomous driving solutions. 🗂️ Requirements: PhD in Robotics, Computer Science, Computer Engineering, Mechanical Engineering, or related field; or Master’s degree with 7+ years robotics experience, 10+ years research experience in robotics or motion planning, 5+ years C++ development experience in high-performance, reliable systems, Proven experience leading complex technical features from research to production deployment, Experience developing motion planning algorithms for autonomous systems 📃 Skills: C++, Robotics, MotionPlanning, Algorithms, ProbabilisticModels, GaussianMixtureModels, HiddenMarkovModels, ParticleFilters, MachineLearning, BayesianInference, Bazel, TrajectoryOptimization, ControlSystems 🏢 Description: Description Motional is seeking a technical expert for its Planning team to define motion planning and control systems for secure, effective, and comfortable fleet operation in complex environments. This role requires expertise in cutting-edge research, advanced algorithm development, and robust software building to generate safe, comfortable, and intuitive routes and motions. The position focuses on contributing to production-ready autonomous vehicles. Role Responsibilities - Lead the research and development of novel algorithms and sub-systems for motion planning in autonomous driving, expanding the Operational Design Domain, including advanced search-based and geometry-based methods and probabilistic decision-making under uncertainty. - Lead cross-functional projects to define new or upgrade existing interfaces. - Monitor overall system performance, identify areas for improvement, and develop technical strategies to address deficiencies. - Guide cross-functional teams to deliver comprehensive solutions beyond the planning system scope. - Architect and integrate motion planning and prediction algorithms, driving evaluation and refinement for real-world deployment. - Design and build a robust, scalable, high-performance codebase for rapid prototyping and rigorous evaluation. - Collaborate with perception, prediction, trajectory optimization, tracking, and control teams to ensure end-to-end system performance. - Mentor and guide team members, promoting product-focused engineering and rigorous research. What We’re Looking For - PhD preferred in Robotics, Computer Science, Computer Engineering, Mechanical Engineering, or related field; or Master’s degree with 7+ years of robotics experience. - 10+ years of research experience in robotics or motion planning with demonstrated impact. - 5+ years of C++ software development experience building high-performance and reliable systems. - Experience leading technical development from problem formulation through research, implementation, and production deployment. - Strong drive for innovation and technical leadership in autonomous driving. Skills Appreciated - Experience with probabilistic models such as Gaussian mixture models, Hidden Markov Models, and Particle Filters. - Experience with machine learning techniques, including Bayesian modeling and inference for decision-making under uncertainty. - Experience with the Bazel build framework. Compensation and Benefits - Salary Range: $240,000—$330,000 USD (base salary). - Eligible for additional compensation such as bonus or company equity. - Benefits may include medical, dental, vision, 401k with company match, health savings accounts, life insurance, pet insurance, and more.

🏢 Summary: Technical leadership role focused on motion planning and trajectory optimization for autonomous vehicles, driving architecture, algorithm development, and scalable software systems for production robotaxis. The position involves cross-functional collaboration, optimization solver integration, and development of safety-critical real-time systems using C++ and robotics expertise. Hybrid or remote work is available with competitive compensation and benefits. 🗂️ Requirements: 5+ years of production-grade C++ software development, Experience with real-time, low-latency, or safety-critical systems, Degree in Robotics, Computer Science, Computer Engineering, Electrical Engineering, or related field, Experience leading large-scale technical development initiatives, Expertise in motion planning and Model Predictive Control (MPC), Knowledge of planning under uncertainty and vehicle dynamics/control, Strong understanding of non-linear and numerical optimization algorithms, Experience with optimization solvers in embedded real-time environments, Ability to design scalable software architectures, Experience with closed-loop simulation environments 📃 Skills: C++, Python, MPC, IPOPT, Gurobi, OSQP, CasADi, Robotics, Optimization, Simulation, CI, Embedded 🏢 Description: Mission Summary: On our Motion team, you will serve as a technical leader, leveraging your deep expertise in motion planning, robotics, and software development to architect and advance the capabilities of production-ready autonomous vehicles. In this role, you will drive innovative research, own systemic design processes, and spearhead the implementation of performance-critical algorithms that enable safe, comfortable, and intuitive autonomous vehicle behaviors across autonomous vehicle fleets. If you are passionate about autonomous driving, thrive on solving challenging motion planning problems, and are eager to make a significant impact in a rapidly evolving field, this role offers the opportunity to work on cutting-edge autonomous systems. Technical Scope: - Architect state-of-the-art solutions for motion planning and trajectory optimization algorithms to guarantee safe, smooth, and comfortable vehicle motion. - Own the structural design of robust and scalable software by evaluating, benchmarking, and integrating diverse optimal control techniques and motion planning algorithms. - Establish code quality benchmarks and lead architectural code and design reviews using C++ across cross-functional services and technologies. - Define modern development toolchains, including testing frameworks, high-fidelity simulation, and continuous integration systems. Role Responsibilities: - Define and communicate complex system trade-offs and technical concepts to engineering peers and leadership. - Lead architectural co-design with teams focused on behavior planning, prediction, and vehicle control. - Author project proposals and technical roadmaps spanning multiple safety-critical vehicle subsystems. - Mentor engineers and foster a culture of rigorous research and product-focused engineering. What We're Looking For: - 5+ years of production-grade C++ software development experience in real-time, low-latency, or safety-critical applications. - Bachelor's, Master's, or PhD in Robotics, Computer Science, Computer Engineering, Electrical Engineering, or related field preferred. - Proven experience leading large-scale technical initiatives from problem formulation through production implementation. - Deep expertise in Model Predictive Control (MPC), motion planning architectures, planning under uncertainty, vehicle dynamics/control, and closed-loop simulation. - Strong mathematical understanding of non-linear and numerical optimization algorithms, including interior point methods, sequential quadratic programming, and convex/non-convex optimization. - Experience deploying and scaling optimization solvers such as IPOPT, Gurobi, OSQP, and CasADi in real-time embedded environments. - Python experience for simulation, data analysis, or rapid prototyping is a plus. Work Arrangement: - Hybrid schedule with in-office collaboration in Boston, Pittsburgh, or Las Vegas, or fully remote. Compensation and Benefits: - Salary range: $205,000—$272,500 USD. - Additional compensation may include bonus or company equity. - Benefits include medical, dental, vision, 401k with company match, health savings accounts, life insurance, and pet insurance. Equal Opportunity: - The company is committed to diversity, inclusion, and equal employment opportunity. - Participation in E-Verify is required for employment eligibility verification.

🏢 Summary: Onsite Operations Coordinator role supporting daily terminal and delivery operations in a fast-paced logistics environment. The position focuses on driver coordination, dispatch management, KPI tracking, and ensuring on-time pickup and delivery performance. This weekday role requires strong Excel skills, operational support experience, and real-time problem-solving abilities. 🗂️ Requirements: Experience in customer support and customer satisfaction, Intermediate to advanced Microsoft Excel knowledge, Strong analytical and problem-solving skills, Ability to adapt to new tools, systems, and processes, Ability to work in a fast-paced environment with shifting priorities, Strong written and verbal communication skills, Ability to prioritize tasks with urgency 📃 Skills: Excel, Dispatch, Logistics, KPI, POD, Reporting, DataAnalysis 🏢 Description: About the Role Support daily terminal and delivery operations in a fast-paced environment. Serve as a key operations and coordination partner for drivers, dock supervisors, and internal teams. Ensure smooth dock launches and high levels of on-time pickup and delivery performance. Provide consistent, high-quality customer and driver support. This role is onsite and aligned to standard weekday business hours. What You'll Do Provide high-level customer service and operational support. Support drivers and serve as a primary point of contact during daily operations. Coordinate with dock supervisors to ensure successful daily dock launches. Lead and coordinate drivers to maintain on-time pickup and delivery performance. Maintain accurate driver records, including times, routes, and special handling instructions. Manage KPIs, open job reports, and daily POD reconciliation. Oversee pickup dispatch management, including B2B and B2C assignments. Support key customer accounts and provide ETAs as requested. Manually build jobs when required and input rate adjustments. Track and trace shipments to ensure service expectations are met. Provide ad-hoc delivery and pickup coverage as needed. Attend weekly operations meetings and support continuous improvement initiatives. What We're Looking For Required Qualifications Strong written and verbal communication skills. Demonstrated experience in customer support and customer satisfaction. Ability to think on your feet and problem-solve in real time. Ability to learn quickly and adapt to new tools, systems, and processes. Intermediate to advanced working knowledge of Microsoft Excel. Strong analytical, organizational, and problem-solving skills. Comfort working in a fast-paced environment with shifting priorities. Ability to prioritize tasks and operate with a strong sense of urgency. Preferred Qualifications Previous dispatch, transportation, or logistics experience. Bilingual in Spanish. Benefits & Perks Medical, dental, and vision coverage with multiple plan options, including HSA-eligible plans. Company-paid life insurance and short- and long-term disability coverage. Flexible spending accounts and dependent care savings options. Employee Assistance Program with confidential counseling, legal, and financial resources. Wellness programs and benefit advocacy support. Equal Opportunity Employer The company is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.