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Internship Tesla Computer Science Jobs in California

Evolver

Applied Data Science Intern

Palo Alto, CA · On-site

Mentorship & Learning Interns will work closely with experienced staff and technical mentors with expertise in: * Computer Science * Data Science & Analytics * Applied AI & Machine Learning

Evolver

Applied Data Science Intern

Palo Alto, CA

Mentorship & Learning Interns will work closely with experienced staff and technical mentors with expertise in: * Computer Science * Data Science & Analytics * Applied AI & Machine Learning

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All JobsTesla Computer Science JobsInternship Tesla Computer Science JobsInternship Tesla Computer Science Jobs in California

Internship Tesla Computer Science information

What is the difference between Internship Tesla Computer Science vs Software Engineering Intern?

AspectInternship Tesla Computer ScienceSoftware Engineering Intern
Required CredentialsEnrolled in Computer Science or related degree, coding skillsEnrolled in Software Engineering, Computer Science, or related degree, coding skills
Work EnvironmentResearch labs, development teams, collaborative projects at TeslaDevelopment teams, coding, testing, and debugging software at Tesla
Employer & Industry UsageTesla's tech and automotive industryTesla's software development teams within automotive and tech sectors
Search & Comparison IntentYes, often compared for tech internships at TeslaYes, similar search for software-focused internships at Tesla

Internship Tesla Computer Science focuses on foundational computer science principles and research, while Software Engineering Internships emphasize practical software development, coding, and debugging. Both roles are valuable for gaining experience at Tesla, but they differ in focus and daily tasks.

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For Internship Tesla Computer Science jobs in California, the most frequently searched job titles are:

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What cities in California are hiring for Internship Tesla Computer Science jobs?

Cities in California with the most Internship Tesla Computer Science job openings:

Internship Tesla Computer Science jobs near you
Infographic showing various Internship Tesla Computer Science job openings in California as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, 2% Contract, and 1% Nights. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution.

Sr. Software Engineer, Workflow Automation Platform

Fremont, CA • On-site

Tesla

8.5

Company rating: 8.5 out of 10

Based on 687 frontline employees who took The Breakroom Quiz

1st of 45 rated automakers

Great coworkers

People enjoy working here

Good employer

Learn more about Teslaexternal

$134K - $177K/yr

Full-time

Re-posted 23 days ago

Job description

Job Summary:
Tesla is seeking a Sr. Software Engineer to join their workflow automation team, focused on building a multi-tenant platform that supports critical business processes. The role involves re-architecting the platform and designing services to enhance event flow and tenant execution across the organization.
Responsibilities:
• Design and build services across the platform, including event abstraction, tenant execution engines, deployment orchestration, graph validation and the management API layer
• Migrate workloads off the legacy engine onto new tenant engines, one tenant at a time, without disrupting production
• Decompose database hotspots and decide what belongs in a relational store versus an event log, cache, document store or dedicated service
• Own event flow correctness across Kafka and RabbitMQ, including routing, idempotency, replay and tenant isolation
• Use LLMs and AI coding tools daily for prototyping, code generation, refactoring and debugging while taking full ownership of every line that ships
• Communicate blockers, risks and scope changes early so problems surface before they become incidents
• Document architecture decisions and tradeoffs so the team operates from a shared model
Qualifications:
Required:
• Bachelor's Degree in Computer Science, Engineering or equivalent experience
• Proven ability to reason about a distributed system end-to-end, including event flow, failure modes, blast radius, coupling and ownership boundaries
• Working knowledge of distributed systems concepts such as eventual consistency, idempotency, message delivery guarantees, partial failure, backpressure and observability
• Hands-on experience with Kafka, RabbitMQ or equivalent event-driven infrastructure, including consumer groups, dead-letter handling and schema evolution
• Experience scaling relational databases past their comfortable limits, with judgment on when to shard, denormalize or move data to a different store
• Multi-tenant platform experience with isolation, fairness and per-tenant configuration treated as core design concerns
• Daily use of LLM coding tools such as Claude, Cursor or Copilot, with the ability to read every diff, identify code that looks correct but is not, correct or rewrite the model's output and own the result
• Strong written and verbal communication, including the ability to raise issues quickly, defend a design choice and ask what problem is being solved before deciding how to implement it
Preferred:
• Java, .NET, Camunda, Spring Cloud Config, Docker and MySQL experience preferred but not required
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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