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Locum Autonomous Driving Engineer Jobs (NOW HIRING)

AeroVect

Staff Autonomy Engineer

San Francisco, CA

If you have a passion for applying autonomous driving technologies to impact the flow of goods for millions of people, we want to talk to you! We are looking for a Staff Engineer who knows how to ...

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Locum Autonomous Driving Engineer information

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$59K

$137.3K

$196.5K

How much do locum autonomous driving engineer jobs pay per year?

As of Jul 21, 2026, the average yearly pay for locum autonomous driving engineer in the United States is $137,309.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $196,000.00 per year, depending on experience, location, and employer.

What are Locum Autonomous Driving Engineers?

Locum Autonomous Driving Engineers are professionals who temporarily fill engineering roles focused on the development, testing, and implementation of autonomous vehicle technologies. They often work on short-term contracts or as substitutes, providing expertise in areas such as sensor integration, perception algorithms, and vehicle control systems. Their flexible positions allow companies to address skill shortages or project-based needs in the rapidly evolving autonomous driving field. These engineers may work with automotive manufacturers, tech startups, or research institutions, contributing to advancements in self-driving car technologies.

What is the difference between Locum Autonomous Driving Engineer vs Autonomous Vehicle Software Developer?

AspectLocum Autonomous Driving EngineerAutonomous Vehicle Software Developer
CredentialsEngineering degree, specialized in autonomous systems, relevant certificationsComputer science or software engineering degree, programming certifications
Work EnvironmentTemporary assignments, testing sites, R&D labsOffice-based, software development teams, testing facilities
Employer & Industry UsageConsulting firms, testing companies, automotive OEMsTech companies, automotive manufacturers, startups

While both roles involve autonomous vehicle technology, a Locum Autonomous Driving Engineer typically works on temporary projects focusing on testing and deployment, whereas an Autonomous Vehicle Software Developer primarily develops and maintains software systems for autonomous vehicles. The roles overlap in technical skills but differ in scope and work setting.

What are the key skills and qualifications needed to thrive as a Locum Autonomous Driving Engineer, and why are they important?

To excel as a Locum Autonomous Driving Engineer, you need a strong background in robotics, computer vision, and software development, typically supported by a degree in engineering, computer science, or a related field. Familiarity with tools like ROS (Robot Operating System), simulation platforms (e.g., CARLA), and machine learning frameworks, as well as experience with automotive-grade safety standards, is vital. Outstanding problem-solving skills, adaptability, and effective teamwork enable rapid integration and contribution in dynamic project environments. These competencies ensure reliable development, testing, and deployment of autonomous vehicle systems, meeting both safety and innovation demands.

What types of projects or tasks might a Locum Autonomous Driving Engineer typically handle during a contract assignment?

As a Locum Autonomous Driving Engineer, you can expect to be brought in to support critical phases of ongoing autonomous vehicle development projects. Typical tasks include integrating and testing perception, planning, and control algorithms; debugging and troubleshooting sensor fusion issues; and supporting on-road or simulation-based validation activities. Since the role is contract-based, you'll often collaborate closely with multidisciplinary teams—such as software, hardware, and safety engineers—to quickly onboard and contribute to high-priority milestones. This dynamic environment requires adaptability and strong communication skills to ensure seamless transitions and knowledge sharing with permanent staff.
What cities are hiring for Locum Autonomous Driving Engineer jobs? Cities with the most Locum Autonomous Driving Engineer job openings:
What are the most commonly searched types of Autonomous Driving Engineer jobs? The most popular types of Autonomous Driving Engineer jobs are:
What states have the most Locum Autonomous Driving Engineer jobs? States with the most job openings for Locum Autonomous Driving Engineer jobs include:
Locum Autonomous Driving Engineer jobs near you
Solutions Engineer - Robotics & Autonomous Driving

Solutions Engineer - Robotics & Autonomous Driving

Scale AI

San Francisco, CA • On-site

Full-time

Posted 20 days ago

Scale AI rating

8.1

Company rating: 8.1 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

95th of 209 rated software companies

Job description

Job Summary:
Scale AI is pioneering the shift of artificial intelligence from digital spaces into robotics and autonomous systems. They are seeking a Solutions Engineer to partner with innovative companies in the robotics field, guiding them through the pre-sales process and developing impactful technical solutions.
Responsibilities:
• Partner with Scale Account Executives and Engagement Managers to deliver new customer pilots and grow technical relationships with existing clients.
• Work with Product Engineering and Product Management to influence our product roadmap based on your frontline insights.
• Become a domain expert in next-generation Robotics and physical AI (e.g. VLMs, VLAs, World Models)
• Develop technical domain expertise in areas of 2D and 3D imaging and annotation, multi-sensor fusion and calibration, GPS/INS navigation systems, computer vision and other autonomy-adjacent concepts
• Be accountable for the technical customer experience and commercial growth, expanding relationships and use cases with existing customers.
• Collaborate with highly technical engineers at our customer sites to ensure satisfaction with our data, software platforms, and workflows.
• Design and develop playbooks, demos, and other tools to ensure efficient and successful pilots and customer expansions.
• Pioneer the development of a global Robotics Data Marketplace, actively seeking out and engaging with key international partners to build a comprehensive data ecosystem.
• Evangelize Scale by interacting with customers at major industry events and academic conferences.
Qualifications:
Required:
• A strong engineering background, preferably in Robotics, Mechatronics, Computer Science, Mathematics, or other Engineering fields.
• 3+ years of experience developing with Python, C++, Java, and/or other scripting languages.
• Hands-on experience in Autonomous Driving, Robotics or Physical AI.
• Exceptional project management and interpersonal skills, strong attention to detail, and a strong sense of ownership.
• The presentation skills and technical credibility to speak confidently with a variety of stakeholders, from executives to front-line engineers.
• A high level of comfort communicating effectively across internal and external organizations.
• Regular travel within the Bay Area.
• International travel approximately once every two months.
• Intellectual curiosity, empathy, and the ability to operate with a high degree of autonomy.
Preferred:
• Prior sales, solutions engineering, or partnership experience with a track record of successfully achieving quota.
• Ideally would have experience selling complex technical solutions to enterprises with deal sizes of $500K to $5M+.
Company:
Scale’s mission is to develop reliable AI systems for the world’s most important decisions. Founded in 2016, the company is headquartered in San Francisco, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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