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From Home Electric Vehicle Engineering Jobs (NOW HIRING)

Electric Vehicle Supervisor

Indianapolis, IN · On-site

$33.65 - $36.08/hr

It makes a city a better home and a better place to visit. At IndyGo, getting people from one place ... Formal trade school training or an associate degree in automotive technology, engineering ...

Vehicle Engineering Manager

Hawthorne, CA · On-site

$166K - $187K/yr

Demonstrated ability to plan and execute flight hardware development programs from the ground up ... Home office set up reimbursement * Weekly lunch stipend, plus complimentary snacks and beverages on ...

Demonstrated ability to plan and execute flight hardware development programs from the ground up ... Home office set up reimbursement * Weekly lunch stipend, plus complimentary snacks and beverages on ...

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From Home Electric Vehicle Engineering information

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How much do from home electric vehicle engineering jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for from home electric vehicle engineering in the United States is $40.64, according to ZipRecruiter salary data. Most workers in this role earn between $38.22 and $40.38 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Electric Vehicle Engineering jobs? The most popular types of Electric Vehicle Engineering jobs are:
Infographic showing various From Home Electric Vehicle Engineering job openings in the United States as of July 2026, with employment types broken down into 88% Full Time, 10% Part Time, 1% Contract, and 1% Nights. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution, with an average salary of $84,523 per year, or $40.6 per hour.
Software Engineer, Vehicle Engineering

Software Engineer, Vehicle Engineering

Tesla

Palo Alto, CA • On-site

Full-time

Posted 28 days ago


Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 679 frontline employees who took The Breakroom Quiz

1st of 44 rated automakers


Job description

Job Summary:
Tesla’s Vehicle Engineering department is composed of thousands of the world’s best vehicle, battery, and manufacturing engineers. They are seeking a highly skilled engineer to contribute to innovative projects using machine learning techniques for vehicle engineering applications.
Responsibilities:
• Implement and fine-tune AI surrogates, such as physics-informed neural operators, suitable for vehicle engineering problems
• Work with aerodynamics engineers to evaluate the performance of the AI surrogates versus classical solvers on baseline computer aided automotive engineering tasks, interpret the results, and improve them
• Document technical processes and experimental results
• Deliver web applications that are useful to diverse groups, e.g. professional design engineers and program managers
• Work cross functionally with mechanical and design engineers to support evolving research projects and implement new features
Qualifications:
Required:
• Degree in Computer Science, Mathematics, Physics, Mechanical Engineering or related field, or equivalent experience
• Strong programming skills in Python
• Proven experience in database management with specific proficiency in PostgreSQL, including the ability to write complex SQL statements
• Familiarity with database concepts such as views and SQL functions
• Proficiency with software engineering best practices including writing production quality code, agile development, API design, version control, CI/CD (docker, Kubernetes, jenkins)
• Comfortable working in a HPC environment (SLURM)
• Ability to demonstrate object-oriented, test-driven, and responsibility-driven design
Preferred:
• Experience with C++, CUDA, PyTorch is a plus
• Proficiency in deep learning frameworks and graph neural networks is a plus
• Mathematical background in fluid dynamics, thermodynamics, linear algebra, statistics, and differential equations is a plus
Company:
Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and renewable energy solutions. Founded in 2003, the company is headquartered in Austin, USA, with a team of 10001+ employees. The company is currently Late Stage.

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