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Full Time Tesla Computer Science Jobs (NOW HIRING)

Tesla

Sr. Software Engineer, Charging Payments

Fremont, CA · On-site

$134K - $177K/yr

... Tesla ownership experience on app and web to gain wider business knowledge Qualifications : Required : • Bachelor's Degree in Computer Science, Software Engineering, or similar areas of study, or ...

Tesla

Sr. Software Engineer, Payments Experience

Fremont, CA · On-site

$134K - $177K/yr

... Computer Science, Computer Engineering, Electrical Engineering, Statistics, proof of exceptional ... Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and ...

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All JobsTesla Computer Science JobsFull Time Tesla Computer Science Jobs

Full Time Tesla Computer Science information

See salary details

$56.5K

$83.1K

$98K

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

As of Aug 1, 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.

How much do Tesla computer science jobs pay?

Tesla computer science jobs typically offer salaries ranging from $80,000 to over $150,000 annually, depending on experience, role, and location. Entry-level positions may start lower, while senior roles or specialized positions such as software engineers or data scientists tend to pay higher. Compensation often includes benefits like stock options and performance bonuses.

What engineer makes $500,000 a year?

Senior software engineers, especially those working in high-demand industries like technology and finance, can earn $500,000 or more annually, often through a combination of base salary, bonuses, and stock options. At companies like Tesla, experienced engineers in specialized fields such as AI, autonomous systems, or hardware engineering may reach or exceed this compensation level with advanced skills and significant experience.

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.

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 paid job at Tesla?

At Tesla, executive roles such as Vice President or Senior Vice President tend to be the highest paid, often earning multi-million dollar compensation packages that include base salary, bonuses, and stock options. These positions require extensive experience, leadership skills, and often technical expertise in areas like engineering or software development.

Is it hard to get hired by Tesla?

Getting hired for a full-time Tesla computer science role can be competitive, as the company seeks candidates with strong technical skills, relevant experience, and a solid educational background in computer science or related fields. The hiring process typically involves multiple interviews, technical assessments, and demonstrating problem-solving abilities. Candidates who showcase proficiency in programming, data structures, and industry tools have a better chance of success.
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 July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $83,109 per year, or $40 per hour.

Full-Time Computer Science Faculty

Touro University New York

Manhattan, NY

$100K/yr

Full-time

Re-posted 15 days ago

Job description

Overview

We are seeking a dedicated Full-Time Computer Science Faculty member to join our academic team in New York City. This position is based on-site at our Lander College for Women location. This role is student-focused, with teaching as the primary priority. The ideal candidate will deliver excellence in the classroom, ensure our curriculum reflects the latest industry advancements, actively mentor students and adjunct faculty, and contribute to scholarly and service goals.

Lander College for Women is currently hiring for two Full-Time Computer Science Faculty.

Responsibilities
  • Teaching & Student Advisement
    • Teach the required undergraduate computer science course load each semester
    • Hold regular office hours and continuously work on improving classes and teaching methodologies
    • Provide general counseling for students regarding their college experiences and professional careers
    • Serve as an academic advisor during registration, new student orientation, and open houses
    • Meet with students to review graduation applications and help resolve academic difficulties
    • Organize student club meetings featuring guest speakers
    • Develop industry connections to help locate sources for internships and assist students in searching for and selecting them
  • Curriculum Development & Mentorship
    • Update assigned course syllabi annually and collaborate with other faculty on their assigned syllabi
    • Participate in curriculum committees and chair committees within your specific area of expertise
    • Participate in the development of new courses that reflect the evolving landscape of the computer science discipline
    • Prepare or collaborate with other faculty members on Departmental Final Exams
    • Mentor adjunct instructors, including conducting both informal and formal observations of selected faculty members
  • Professional Development & Research
    • Pursue knowledge of emerging technologies to remain current in your area of expertise
    • Publish scholarly papers, books, and articles in your area of expertise
    • Present at academic conferences and attend relevant industry events
    • Maintain an active SIGCSE (Special Interest Group on Computer Science Education) membership
  • Departmental Service & Administration
    • Contribute to department assessment activities, program objectives, policies, and strategic planning
    • Assist with Program Reviews, NY State reports, and other activities necessary to maintain Middle States accreditation
    • Serve on departmental and college-wide committees as necessary
    • Assist with recruitment activities and update department bulletins and viewbooks
    • Attend commencement ceremonies
QualificationsEducation/Experience
  • A Ph.D. in Computer Science or a closely related discipline is strongly preferred and is required for the title of Assistant Professor. Candidates who have attained a master's degree are eligible for the title of Lecturer.
Knowledge/Skills/Abilities
  • Specialization and experience in Artificial Intelligence, Cybersecurity, Data sciences, Agile development, or Cloud computing architectures is a significant plus.
Working Conditions
  • Ability to use a computer and the ability to sit or stand for a 3-hour class.
Maximum SalaryUSD $100,000.00/Yr.Minimum SalaryUSD $80,000.00/Yr.Employment Type: FULL_TIME

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