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Temporary Waymo Autonomous Vehicle Jobs in Texas

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Temporary Waymo Autonomous Vehicle information

What is a temporary Waymo Autonomous Vehicle?

A Temporary Waymo Autonomous Vehicle position typically refers to a short-term role working with Waymo's self-driving car technology. Employees in these positions may be responsible for tasks such as monitoring autonomous vehicles, collecting data, or supporting vehicle operations during tests. These roles are often contract-based and can involve working directly with the vehicles on public roads or in test environments. They provide valuable experience in the autonomous vehicle industry and may include opportunities for training and collaboration with engineers and safety specialists.

What are the key skills and qualifications needed to thrive as a Waymo Autonomous Vehicle operator?

To thrive as a Waymo Autonomous Vehicle Operator, you need a valid driver's license, a clean driving record, strong attention to detail, and experience with safe vehicle operation. Familiarity with onboard diagnostic systems, computer tablets, and proprietary Waymo software is typically required. Reliability, clear communication, and the ability to follow detailed protocols are crucial soft skills for this role. These skills and qualities are vital to ensure the safe testing and operation of autonomous vehicles and accurate reporting of any issues encountered.

What are some common challenges faced by temporary Waymo Autonomous Vehicle operators, and how can they be addressed?

Temporary Waymo Autonomous Vehicle Operators often face challenges such as adapting to rapidly evolving technology, maintaining high attention to detail during long monitoring shifts, and effectively documenting rare events or system anomalies. To address these challenges, operators are encouraged to stay updated on the latest procedural changes, take regular breaks to reduce fatigue, and use detailed reporting tools provided by Waymo. Collaboration with technical support teams and participation in ongoing training sessions also help operators stay prepared and confident in their role.

What is the difference between Temporary Waymo Autonomous Vehicle vs Temporary Autonomous Vehicle Technician?

AspectTemporary Waymo Autonomous VehicleTemporary Autonomous Vehicle Technician
CredentialsDriver's license, knowledge of autonomous systemsTechnical certifications, vehicle maintenance skills
Work EnvironmentOn-road testing, vehicle monitoringGarage, testing facilities, on-site repairs
Industry UsageAutonomous vehicle testing and developmentVehicle maintenance and troubleshooting in autonomous fleet

Temporary Waymo Autonomous Vehicles are primarily involved in testing and operating autonomous driving systems on public roads, requiring knowledge of vehicle operation and safety protocols. In contrast, Temporary Autonomous Vehicle Technicians focus on maintaining, repairing, and troubleshooting autonomous vehicles in a controlled environment. Both roles are essential in the autonomous vehicle industry but differ in responsibilities, skills, and work settings.

What are the most commonly searched types of Waymo Autonomous Vehicle jobs in Texas?

The most popular types of Waymo Autonomous Vehicle jobs in Texas are:

What are popular job titles related to Temporary Waymo Autonomous Vehicle jobs in Texas?

For Temporary Waymo Autonomous Vehicle jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Temporary Waymo Autonomous Vehicle jobs in Texas look for?

The top searched job categories for Temporary Waymo Autonomous Vehicle jobs in Texas are:

What cities in Texas are hiring for Temporary Waymo Autonomous Vehicle jobs?

Cities in Texas with the most Temporary Waymo Autonomous Vehicle job openings:

Infographic showing various Temporary Waymo Autonomous Vehicle job openings in Texas as of August 2026, with employment types broken down into 49% Full Time, 9% Part Time, 6% Temporary, 30% Contract, and 6% Nights. Highlights an 100% In-person job distribution.

Ground Control Station (GCS) Software Engineer (R3963) with Security Clearance

Shield AI Inc

Dallas, TX โ€ข On-site

Other

Posted 14 days ago


Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai . Follow Shield AI on LinkedIn , X , Instagram , and YouTube . Job Description: We're looking for a Software Engineer to join our team developing next-generation Ground Control Station (GCS) applications for unmanned aerial systems (UAS). This role is ideal for engineers with a strong foundation in real-time, performance-sensitive software who also bring experience with modern web technologies. You'll work on mission-critical software that bridges responsive user interfaces with robust backend systems, enabling human operators to plan, command, and monitor autonomous assets with precision and reliability. What you'll do: * Design, develop, and optimize ground control software that enables low-latency communication with UAVs and other autonomous platforms. * Build high-performance client and server applications that support telemetry processing, mission planning, and real-time control. * Implement responsive user interfaces with React and TypeScript for operator workflows and visualization of spatial data, sensor feeds, and mission state. * Collaborate closely with teams across autonomy, embedded systems, backend, and UX to deliver integrated, field-ready solutions. * Contribute to architectural decisions and system designs that ensure responsiveness, scalability, and fault-tolerance. * Lead development efforts on key features or subsystems, from early design through deployment and iteration. * Write high-quality, well-tested code and participate in peer design/code reviews. Required qualifications: * Senior: Bachelor's degree with 5+ years of relevant experience, or Masters with 4+ years, or PhD with 2+ years. * Staff: Bachelor's degree with 7+ years of relevant experience, or Masters with 6+ years, or PhD with 4+ years. * Senior Staff: Bachelor's degree with 10+ years of relevant experience, or Masters with 9+ years, or PhD with 7+ years. * Demonstrated experience building real-time or performance-sensitive applications-preferably for UAVs, robotics, autonomous vehicles, or simulation environments. * Proficiency in a strongly typed programming language (e.g. C#, TypeScript, Java, C++) with exposure to lower-level systems or protocol integration. * Experience with web technologies, especially React, TypeScript/JavaScript, and Node.js. * Strong software engineering fundamentals including version control, testing, debugging, and performance profiling. * Proven ability to deliver high-quality software as part of a collaborative engineering team. * Ability to obtain security clearance. Preferred qualifications: * Experience with GCS software, mission planning tools, or real-time visualization platforms. * Familiarity with API-driven systems using REST or gRPC, and communication protocols like WebSocket or custom telemetry formats. * Knowledge of standards such as STANAG 4586, Cursor on Target (CoT), or MAVLink. * Familiarity with containerized environments (e.g., Docker, Kubernetes) and CI/CD practices. * Exposure to distributed systems and cloud integration for telemetry data pipelines. * Understanding of security best practices in control systems and networked applications. #LI-AA1 #LC Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.