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Full Time Tesla Computer Science Jobs (NOW HIRING)

Hcfl

Computer Science Instructor

Dale, IN · On-site

$51K - $89K/yr

This is a Full-time Tenure Track position. Required Qualifications: Master's degree with at least 18 graduate semester hours in any combination of: Computer Science, Educational Technology supported ...

Tesla

Software Engineer, Optimus

Palo Alto, CA · On-site

... Science, Computer Engineering, Mechanical Engineering, Electrical Engineering, similar degree, or equivalent experience Company : Tesla is an electric vehicle and clean energy company that provides ...

Tyler Junior College

Professor, Computer Science

TX · On-site

Location : TJC Central Campus Job Type: Full-Time Regular Job Number: 2026-00079 Department: Computer Science Opening Date: 06/11/2026 Number of Months: 9 Tyler Junior College gives equal ...

Stride, Inc.

Computer Science CTE Teacher

Denton, TX · Remote

$49K/yr

Computer Science 8-12 OR Computer Information System Residency Requirements: TEXAS The remote High ... Join us! This is a full-time REMOTE position. Ability to work independently, typically 40+ hours ...

The Leona Group

Computer Science Teacher

East Chicago, IN · On-site

$48K - $67K/yr

Job Type Full-time Description Provide high-quality instruction to students and work collaboratively with the school leader, colleagues, students, parents and the board to accomplish or surpass the ...

Tesla

Sr. Data Analyst, Machine Learning

Fremont, CA · On-site

$94K - $119K/yr

Tesla is seeking a highly skilled Sr Data Analyst to build and scale predictive analytics and ... Required : • Degree in Data Science, Machine Learning, Statistics, Computer Science, or a related ...

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All JobsFull Time Tesla Computer Science Jobs

Full Time Tesla Computer Science information

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$56.5K

$83.1K

$98K

How much do full time tesla computer science jobs pay per year?

As of Jun 21, 2026, the average yearly pay for full time tesla computer science in the United States is $83,109.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,500.00 and $93,500.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Tesla Computer Science vs Full Time Tesla Software Engineer?

AspectFull Time Tesla Computer ScienceFull Time Tesla Software Engineer
Required CredentialsBachelor's or higher in Computer Science or related fieldBachelor's or higher in Computer Science or related field
Work EnvironmentResearch, data analysis, algorithm developmentApplication development, coding, system design
Employer & Industry UsageTesla's R&D and innovation teamsTesla's product and software development teams
Common Search & Comparison IntentUnderstanding roles in Tesla's tech teamsComparing software engineering roles at Tesla

Full Time Tesla Computer Science roles typically focus on research, data analysis, and algorithm development within Tesla's R&D teams. In contrast, Full Time Tesla Software Engineer positions emphasize application development, coding, and system design for Tesla's products. Both roles require similar educational backgrounds but differ in daily tasks and focus areas, catering to different aspects of Tesla's technological innovation.

What are the key skills and qualifications needed to thrive as a Full-Time Computer Science professional at Tesla, and why are they important?

To thrive as a Full-Time Computer Science professional at Tesla, you need strong programming skills (such as Python, C++, or Java), a solid understanding of algorithms and data structures, and typically a degree in computer science or related field. Familiarity with version control systems like Git, cloud platforms, and experience with Tesla’s preferred tech stacks or frameworks are highly valued, as well as relevant certifications. Excellent problem-solving ability, adaptability, and effective teamwork set top candidates apart in this fast-paced environment. These skills and qualities are crucial for driving innovation, building robust software solutions, and contributing to Tesla’s mission-driven projects.

What are some unique challenges computer science professionals may face while working full time at Tesla?

Working full time as a computer science professional at Tesla involves tackling complex, fast-paced projects that directly impact the company's innovative technologies. You may face challenges such as rapidly evolving requirements, tight deadlines, and the need to collaborate closely with cross-functional teams like hardware engineers, data scientists, and product managers. The dynamic environment often requires quick problem-solving, adaptability, and a strong commitment to high-quality code. However, these challenges provide valuable opportunities for professional growth and allow you to contribute to groundbreaking advancements in sustainable technology.

Does Tesla hire computer engineers?

Tesla hires computer engineers for roles involving software development, embedded systems, and autonomous vehicle technology. Candidates typically need strong programming skills in languages like C++ or Python and experience with hardware integration. These positions often require a background in computer science or related fields and may involve working in fast-paced, innovative environments.

What does a Full Time Tesla Computer Science employee do?

A Full Time Tesla Computer Science employee typically works on designing, developing, and maintaining software systems that power Tesla's vehicles, energy products, or internal operations. This can include working on autonomous driving algorithms, data analytics, embedded systems, or cloud infrastructure. Employees collaborate with cross-functional teams to solve complex engineering challenges and contribute to Tesla’s mission of accelerating the world’s transition to sustainable energy. The role requires strong programming skills, problem-solving abilities, and a passion for innovation.

What is the highest paying job at Tesla?

At Tesla, executive roles such as Vice President or Senior Director tend to be among the highest paid, often earning multi-million dollar compensation packages that include base salary, bonuses, and stock options. These positions typically require extensive experience, leadership skills, and advanced technical or business expertise. Compensation varies based on performance, experience, and the specific department.

Can you work remotely for Tesla?

Full Time Tesla Computer Science roles may offer remote work options depending on the position and team requirements. Many roles require on-site presence for collaboration, but some positions, especially in software development and engineering, may be eligible for remote work or hybrid schedules. Candidates should review specific job postings for remote work policies and requirements.

Is it difficult to get hired at Tesla?

Getting hired for a full-time computer science role at Tesla can be competitive, often requiring strong technical skills, relevant experience, and a solid educational background. The hiring process typically involves multiple interviews, technical assessments, and demonstrating problem-solving abilities related to software development and engineering. Candidates who showcase expertise in programming languages, systems design, and innovation tend to have better chances.
More about Full Time Tesla Computer Science jobs
What cities are hiring for Full Time Tesla Computer Science jobs? Cities with the most Full Time Tesla Computer Science job openings:
What are the most commonly searched types of Tesla Computer Science jobs? The most popular types of Tesla Computer Science jobs are:
What states have the most Full Time Tesla Computer Science jobs? States with the most job openings for Full Time Tesla Computer Science jobs include:
What job categories do people searching Full Time Tesla Computer Science jobs look for? The top searched job categories for Full Time Tesla Computer Science jobs are:
Full Time Tesla Computer Science jobs near you
Infographic showing various Full Time Tesla Computer Science job openings in the United States as of June 2026, with employment types broken down into 2% As Needed, 53% Full Time, 43% Part Time, 1% Temporary, and 1% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $83,109 per year, or $40 per hour.
Software Engineer, Generative AI Platform Engineering

Software Engineer, Generative AI Platform Engineering

Tesla

Austin, TX • On-site

Full-time

Posted yesterday

Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 663 frontline employees who took The Breakroom Quiz

1st of 44 rated automakers

Job description

Job Summary:
Tesla is pioneering technological excellence and innovation through its Generative AI Platform Engineering team. In this role, you will design and develop tools for managing and monitoring Tesla’s global infrastructure while building advanced AI tools to enhance efficiency and user experience.
Responsibilities:
• Collaborate with stakeholders to understand their business processes and infrastructure needs, translating insights into scalable software solutions and creating intuitive wrappers for easier infrastructure setup
• Design software with a focus on observability and monitoring, providing high-level insights into infrastructure status for informed decision-making
• Research and integrate cutting-edge tools and technologies for AI agents, continuously improving architecture to drive innovation and efficiency
• Develop code generation tools to automate boilerplate code and documentation, streamlining development and enhancing productivity
Qualifications:
Required:
• Degree in Computer Science or equivalent experience
• Expertise in Golang
• Experience with large-scale distributed systems
• Hands-on experience with SQL/NoSQL databases
Preferred:
• Familiarity with gRPC services and/or open-source AI agent frameworks 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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