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Full Time Tesla Computer Science Jobs (NOW HIRING)

Tesla

Staff Software Engineer, FinTech

Fremont, CA · On-site

Required : • Degree in Computer Science, Information Technology, Software Engineering, or related ... Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and ...

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

As of Aug 22, 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 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 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:

Full Time Tesla Computer Science jobs near you
Infographic showing various Full Time Tesla Computer Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution, with an average salary of $83,109 per year, or $40 per hour.

Staff Software Engineer, FinTech

Tesla

Fremont, CA • On-site

Full-time

Re-posted 17 days ago

Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 687 frontline employees who took The Breakroom Quiz

1st of 45 rated automakers

Job description

Job Summary:
Tesla is seeking a Staff Software Engineer to join our Payments and FinTech team, spearheading the technical strategy and architecture of systems that keep the lights on for the company. The role involves designing scalable payment processing systems and collaborating with cross-functional teams to innovate and improve Tesla's financial platforms.
Responsibilities:
• Design, develop, and maintain scalable and efficient payment processing and financial systems for Tesla's products and services, ensuring 99.99% uptime
• Lead the architecture of core FinTech infrastructure, encompassing payments, reconciliation, billing, invoicing, and accounts receivables systems from 0 to 1 with an AI-first vision
• Develop and maintain API integrations with third-party payment processors, banks, and other financial institutions to facilitate global market complexities
• Identify and incorporate AI Agents and Large Language Models to increase automation in payments, billing, and reconciliation tasks, reducing operational toil
• Implement orchestration engines for reliability and human-in-the-loop workflows across FinTech platforms
• Mentor junior and senior engineers, contributing to the overall growth of the engineering team and driving best practices in system design and code quality
• Collaborate cross-functionally to ensure solutions align with system design, operational needs, and end-user impact, directly addressing pain points for internal and external stakeholders
• Improve the reliability and observability of FinTech platforms, including setting up distributed tracing, logging, and metrics pipelines for billing accuracy
• Stay up to date with the latest trends in the payments and software engineering industry to identify new opportunities and drive innovation, especially where AI and operational scale intersect
Qualifications:
Required:
• Degree in Computer Science, Information Technology, Software Engineering, or related field, or equivalent experience
• 8+ years of professional software engineering experience, including designing and operating production distributed systems at scale
• Strong proficiency in modern backend programming languages, with a specific preference for Go (Golang) or C#
• Solid Computer Science fundamentals and experience with CI/CD (Jenkins, Argo), containerization (Docker, Kubernetes), and observability tools (Prometheus, Grafana)
• Experience building AI agents or integrating intelligent systems (LLMs, prompt engineering) into real-world applications using platforms like OpenAI, HuggingFace, LangChain, or LlamaIndex
• Hands-on experience with workflow orchestration platforms (e.g., Temporal) and self-hosting complex infrastructure components in high-availability environments
• Demonstrated ability to architect and maintain distributed systems, with deep familiarity in service deployment and infrastructure operations
• Proven track record of handling global-scale complexities, such as multi-market payments and high-uptime requirements in mission-critical systems
Preferred:
• Familiarity with emerging AI technologies or tools for automation in financial workflows is highly desirable
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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