ZipRecruiter

Log In

1

Tesla Estimator Jobs in Riverside, CA (NOW HIRING)

FieldAI

AI Solutions Engineer (Fixed-Term)

Irvine, CA · On-site

$35 - $50/hr

Travel to customer sites as needed (estimated around 10%) to accelerate deployment and adoption ... Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of ...

FieldAI

AI Solutions Engineer (Fixed-Term)

Irvine, CA

$35 - $50/hr

Travel to customer sites as needed (estimated around 10%) to accelerate deployment and adoption ... Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of ...

All JobsTesla Estimator JobsTesla Estimator Jobs in Riverside, CA

Tesla Estimator information

See Riverside, CA salary details

$32.3K

$76.4K

$132.5K

How much do tesla estimator jobs pay per year?

As of Aug 25, 2026, the average yearly pay for tesla estimator in Riverside, CA is $76,445.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,300.00 and $90,200.00 per year, depending on experience, location, and employer.

What does a Tesla estimator do?

A Tesla Estimator is responsible for evaluating and estimating the costs associated with projects, repairs, or installations related to Tesla vehicles, energy products, or infrastructure. This role involves reviewing project specifications, analyzing labor, materials, and time requirements, and preparing detailed cost estimates for clients or internal teams. Estimators collaborate with engineers, project managers, and suppliers to ensure accurate and competitive bids. Their work helps ensure projects are completed within budget while maintaining Tesla's high standards for quality and efficiency.

What are the main challenges Tesla estimators face when coordinating with other departments during project planning?

Tesla Estimators often collaborate closely with engineering, procurement, and project management teams to ensure accurate cost projections and timelines. One common challenge is aligning estimates with rapidly evolving project specifications or changes in design, which requires constant communication and flexibility. Additionally, Estimators must balance cost efficiency with Tesla’s high standards for quality and innovation, making attention to detail and adaptability essential. Effective teamwork and proactive problem-solving are key to overcoming these challenges and delivering successful project outcomes.

What are the key skills and qualifications needed to thrive as a Tesla estimator, and why are they important?

To thrive as a Tesla Estimator, you need expertise in cost estimation, project management, and a strong understanding of automotive repair or construction processes, often supported by relevant technical training or a degree. Familiarity with estimation software such as CCC ONE, Mitchell, or Audatex, and proficiency in using Tesla’s proprietary systems are typically required. Strong attention to detail, analytical thinking, and effective communication with customers and repair teams are valuable soft skills. These competencies ensure accurate assessments, cost control, and high customer satisfaction in Tesla’s fast-paced, quality-driven environment.

What is the difference between Tesla Estimator vs Solar Estimator?

AspectTesla EstimatorSolar Estimator
CredentialsSales or technical certifications, industry knowledgeSales or technical certifications, industry knowledge
Work EnvironmentOffice, on-site, customer consultationsOffice, on-site, customer consultations
Industry UsageTesla energy products, including solar and storageSolar energy systems, panels, and installations
Search IntentEstimating Tesla solar and energy projectsEstimating solar panel installations

Both Tesla Estimators and Solar Estimators focus on solar energy projects, often requiring similar certifications and working environments. Tesla Estimators specifically handle Tesla's energy products, including solar and storage solutions, while Solar Estimators may work with various brands and systems. Understanding these differences helps in choosing the right career path or service provider.

What are popular job titles related to Tesla Estimator jobs in Riverside, CA?

For Tesla Estimator jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Tesla Estimator jobs in Riverside, CA look for?

The top searched job categories for Tesla Estimator jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Tesla Estimator jobs?

Cities near Riverside, CA with the most Tesla Estimator job openings:

Tesla Estimator jobs near you
Infographic showing various Tesla Estimator job openings in Riverside, CA as of August 2026, with employment types broken down into 91% Full Time, 8% Part Time, and 1% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $76,445 per year, or $36.8 per hour.

Senior Software Engineer, 3D Computer Vision

Irvine, CA

FieldAI
See more jobs at FieldAIexternal

$150K - $200K/yr

Full-time

Re-posted 3 days ago

Job description


Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.
What You Get To Do:
  • Develop and optimize point cloud processing pipelines, including registration, denoising, normal estimation, segmentation, and primitive extraction
  • Design efficient algorithms for large-scale, unstructured 3D datasets with attention to memory and runtime performance
  • Implement production-grade computational geometry and linear algebra in C++ and Python
  • Solve complex reconstruction challenges such as loop closure, global consistency, and multi-view fusion
  • Evaluate and integrate emerging 3D vision methods (e.g., neural implicit representations, advanced meshing techniques)
  • Partner with platform teams to ensure scalable, efficient deployment of algorithms
What You Bring:
  • 4+ years of experience in Computer Vision, Computational Geometry, or 3D-focused Software Engineering
  • Master's or Ph.D. in Computer Science, Applied Mathematics, or related field with specialization in 3D vision or geometric processing
  • Strong proficiency in modern C++ (C++14/17) and Python
  • Solid mathematical foundation in 3D geometry, linear algebra, rigid body transformations (SE(3), quaternions), and projective geometry
  • Deep experience with point cloud algorithms (ICP, GICP, RANSAC, NDT, region growing) and spatial data structures (k-d trees, octrees, voxel grids)
  • Hands-on experience with libraries such as PCL, Open3D, Eigen, or Ceres
  • Familiarity with common 3D data formats (PCD, PLY, E57, LAS)
  • Strong problem-solving skills and ability to translate academic research into production-ready code
What Sets You Apart:
  • Experience with non-linear optimization frameworks (Ceres, GTSAM, g2o) for bundle adjustment or pose graph optimization
  • Background in SLAM or Structure from Motion (SfM) pipelines
  • Experience processing LiDAR, RGB-D, or photogrammetry datasets
  • Familiarity with Linux development environments and containerization (Docker)
  • Exposure to ROS (not required)
  • Knowledge of survey-grade accuracy standards and georeferencing algorithms
$150,000 - $200,000 a year
Our salary range is generous and we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. 

Why Join Field AI?
We are solving one of the world's most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.

You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.

Be Part of the Next Robotics Revolution
To tackle such ambitious challenges, we need a team as unique as our vision - innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.

We are headquartered in always-sunny Mission Viejo (Irvine adjacent), Southern California and have US based and global teammates. 

Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!



We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job

Apply