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Full Time Tesla Computer Science Jobs in Washington

Prescient Edge

Senior Computer Scientist

Bethesda, MD · On-site

$130K - $190K/yr

Job Title Senior Computer Scientist Location Bethesda, MD 20800 US (Primary) Category Research, Development, and Engineering Job Type Full-Time Career Level Staff Education Master's Degree Travel ...

Prescient Edge

Senior Computer Scientist

Bethesda, MD · On-site

$130K - $190K/yr

Job Title Senior Computer Scientist Location Bethesda, MD 20800 US (Primary) Category Research, Development, and Engineering Job Type Full-Time Career Level Staff Education Master's Degree Travel ...

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All JobsTesla Computer Science JobsFull Time Tesla Computer Science JobsFull Time Tesla Computer Science Jobs in Washington

Full Time Tesla Computer Science information

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 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 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 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 most commonly searched types of Tesla Computer Science jobs in Washington?

The most popular types of Tesla Computer Science jobs in Washington are:

What cities in Washington are hiring for Full Time Tesla Computer Science jobs?

Cities in Washington with the most Full Time Tesla Computer Science job openings:

Full Time Tesla Computer Science jobs near you

Full-Time Lead Faculty - Computer Science

University of the Potomac

Washington, DC

Full-time

Posted 8 days ago

Job description

Job Title

Full-Time Lead Faculty – Information Technology and Computer Science

Job Code Number

FLSA Category for Position

Division

Academic Affairs

On-Site

Supervisor

Academic Operations

Job Purpose

The Full-time Information Technology and Computer Science Faculty member is responsible for delivering high-quality instruction in information technology courses, supporting student learning, and contributing to academic standards within the department. This role includes teaching two to three courses as assigned, supporting course development, participating in curriculum revision, and engaging in institutional effectiveness activities to promote student achievement and program quality.

Education and Experience Required

• Master’s degree in Information Technology, Computer Science, or a related field; doctorate degree preferred
• Minimum of 2 years of college-level teaching experience
• Demonstrated knowledge of data analysis concepts and tools
• Strong proficiency in Microsoft Excel for data analysis and instructional use
• Excellent attention to detail, organization, and academic communication
• Experience using LMS platforms (e.g., Moodle) and instructional technology
• Ability to manage multiple teaching and academic responsibilities effectively

Supervision Provided to Others

Yes

#

Description

1

Course Instruction – Teach 2–3 IT courses as assigned and deliver outcomes-aligned instruction.

2

Student Support – Provide timely feedback, respond to inquiries, and monitor student academic progress.

3

Curriculum Participation – Assist with course revision to maintain academic relevance and alignment.

5

Data & Analysis Integration – Provide data analysis using Excel or other analytical tools to generate reports. 

6

Student & Faculty Data Management – Collect, analyze, and report on student performance, faculty assignments, and course effectiveness

7

Student & Faculty Support – Respond to academic inquiries, assist faculty with course-related tasks, and support student academic monitoring.

8

Academic Collaboration – Work with other departments to ensure consistency in academic standards.

9

Technology & Data Analysis – Utilize Microsoft Excel and academic management systems (e.g., Moodle, SONIS) for scheduling and reporting.

10

Work Environment & Responsibilities – Office-based role requiring availability for on-campus and online meetings to address faculty and student concerns.