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Remote Car Tuning Jobs (NOW HIRING)

Experience with motion control, servo tuning, VFDs, and PLCs (Allen Bradley ControlLogix preferred ... Must possess a valid driver's license and be able to travel to customer sites via car or air.

Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the ... fine-tuning, and retrieval-augmented generation (RAG) * Experience designing, building, and ...

Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the ... fine-tuning, and retrieval-augmented generation (RAG) * Experience designing, building, and ...

Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the ... image quality tuning and system performance * Understand and evaluate internal and external ...

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Remote Car Tuning information

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$102.5K

$114.5K

$128K

How much do remote car tuning jobs pay per year?

As of Jun 9, 2026, the average yearly pay for remote car tuning in the United States is $114,504.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $121,500.00 per year, depending on experience, location, and employer.

What are some typical challenges faced by Remote Car Tuning professionals and how are they addressed?

Remote Car Tuning professionals often encounter challenges such as dealing with diverse vehicle models, varying client technical abilities, and occasional connectivity issues during remote diagnostics. Successful technicians address these by continuously updating their knowledge of the latest automotive technologies, maintaining clear step-by-step communication with clients, and utilizing reliable remote access and tuning software. Teamwork may also be required when collaborating with local mechanics or customer support staff to resolve complex issues. By developing strong troubleshooting skills and adapting to each client’s unique situation, remote tuners can deliver consistent, high-quality results and build trust with their clientele.

What are the key skills and qualifications needed to thrive in the Remote Car Tuning position, and why are they important?

To excel in Remote Car Tuning, a strong background in automotive engineering, electronic diagnostics, and ECU programming—often supported by relevant certifications or technical training—is essential. Familiarity with car tuning software platforms, remote diagnostics tools, and automotive data logging systems is necessary for diagnosing and optimizing vehicle performance. Excellent problem-solving skills, clear communication, and attention to detail help technicians deliver effective remote support to clients and coordinate with onsite service providers. These competencies ensure accurate, safe, and efficient tuning services that meet customer expectations and comply with industry standards.

What is a Remote Car Tuning job?

A Remote Car Tuning job involves adjusting a vehicle’s engine and performance settings using specialized software without being physically present with the car. Tuners analyze data logs, modify ECU parameters, and send updated calibrations to optimize power, fuel efficiency, or drivability. This process is typically done via email or remote access tools, allowing tuners to work with clients worldwide. It requires expertise in engine management systems, tuning software, and troubleshooting techniques.

More about Remote Car Tuning jobs
What cities are hiring for Remote Car Tuning jobs? Cities with the most Remote Car Tuning job openings:
What are the most commonly searched types of Car Tuning jobs? The most popular types of Car Tuning jobs are:
What states have the most Remote Car Tuning jobs? States with the most job openings for Remote Car Tuning jobs include:
Infographic showing various Remote Car Tuning job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $114,504 per year, or $55 per hour.
Senior Staff Software Engineer, Model Post Training

Senior Staff Software Engineer, Model Post Training

Waymo

San Francisco, CA • On-site, Remote

$281K - $356K/yr

Other

Posted 6 days ago


Job description

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

We are seeking highly motivated and talented experienced engineers to join our team to lead the post-training LLM for autonomous driving. You will be working alongside a world-class team of researchers and engineers to develop and advance the next generation of frontier AI models.

You will:
  • Post-training for instruction following and CoT thinking: Develop and apply methods to enhance the instruction following and CoT abilities of LLM models targeting autonomous driving applications. This may include fine-tuning strategies, reinforcement learning techniques, or novel approaches to improve LLM's ability to solve complex driving tasks, make decisions, and interact with dynamic environments.
  • Collaborate deeply with research teams asking the right technical questions, translating research advances into production-ready systems, and shaping joint technical direction.
  • Provide technical leadership to influence senior engineers and researchers across ML, infra, and data teams.
  • Raise the technical bar for how Waymo trains, evaluates, and deploys LLM models in the autonomous driving technical stack.
You have:
  • Demonstrated experience developing post-training methods for LLM models
  • Extensive experience with deep learning frameworks (e.g. PyTorch, JAX) and large-scale model training.
  • A track record of operating effectively under ambiguity, setting direction amid rapidly evolving research and technical constraints
  • The ability to translate research insights into production-ready post-training pipelines and systems
  • Experience applying large language models or foundation models in complex, safety-critical domains (e.g., autonomy, robotics, or other high-reliability systems)
  • Excellent communication and collaboration skills

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range
$281,000—$356,000 USD