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Freelance Tesla Computer Science Jobs in California

Kaav Inc

Full stack sw engineer role

Palo Alto, CA · On-site

... tesla, honda, mercedes etc Contract - 3 year Experience Need 10 years Automotive Full-stack SW ... S. in Computer Science and 5 years of industry experience, or at least 10 years of equivalent ...

Cogent Security

Research Scientist

San Francisco, CA · On-site

$100K - $300K/yr

Unicorn, high-growth companies like Scale AI, Databricks, Stripe, Tesla, Coinbase * World class ... An MSc or PhD/DPhil in Computer Science or a closely related technical field * Proven Track Record:

BrainCo

AI/ML Engineer

San Francisco, CA · On-site

Built a team of 70+ AI experts from Tesla, Google DeepMind, NVIDIA, and Databricks At Brain Co., we ... Hold a BSc/Master's/PhD degree in Computer Science, Machine Learning, Data Science, or a related ...

BrainCo

Early Career AI/ML Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Built a team of 70+ AI experts from Tesla, Google DeepMind, NVIDIA, and Databricks At Brain Co., we ... Hold a BSc/Master's/PhD degree in Computer Science, Machine Learning, Data Science, or a related ...

Nokia

Software Engineering Coop

Sunnyvale, CA · On-site

$20.10 - $70.40/hr

Junior or Senior standing in an Engineering program, studying Computer Science, Data Science, or ... freelance work). * Exposure to real-world applications of AI in industry or academia. About Us ...

Nokia

Software Engineering Coop

Sunnyvale, CA

... Computer Science, Data Science or Artificial Intelligence or a related field with an accredited ... freelance work). * Exposure to real-world applications of AI in industry or academia. You Will:

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Freelance Tesla Computer Science information

What engineer makes $500,000 a year?

Senior software engineers, especially those working in high-demand fields like artificial intelligence or at major tech companies, can earn $500,000 or more annually. These roles often require advanced skills, extensive experience, and sometimes stock options or bonuses as part of compensation packages.

What does a Freelance Tesla Computer Science professional do?

A Freelance Tesla Computer Science professional typically works on projects related to Tesla's software, data analysis, or systems development, but as an independent contractor rather than a full-time employee. Their work may involve developing applications for electric vehicles, optimizing algorithms for autonomous driving, or analyzing large datasets for machine learning models. These professionals use their computer science expertise to solve complex problems, often collaborating remotely with Tesla teams or clients. Freelancers enjoy flexible schedules and the ability to choose their projects, but also need to manage their own business operations.

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. Positions may require skills in software development, data analysis, or AI, and often include benefits such as stock options and health insurance.

Is it difficult to get hired at Tesla?

Getting hired as a freelance Tesla computer science professional can be competitive due to the company's high standards and specialized requirements. Candidates typically need strong technical skills, relevant experience, and a solid understanding of Tesla's technologies and projects. The hiring process often involves multiple interviews and technical assessments.

Can CS do freelancing?

Computer Science professionals, including those working with Tesla or similar companies, can often freelance by offering software development, consulting, or technical services. Freelancing in CS typically requires strong skills, a portfolio, and knowledge of tools like programming languages and project management platforms. Many freelancers find work through online marketplaces or networking, and they may need to manage their own schedules and contracts.

How do freelance computer science professionals collaborate with Tesla teams on projects?

As a freelance computer science professional working with Tesla, you’ll typically engage in remote collaboration with in-house teams using project management and communication tools like Slack, Jira, or Trello. You may participate in regular virtual meetings to discuss progress, align on project goals, and address technical challenges. While you’ll have autonomy in your daily work, maintaining clear communication and timely updates is crucial for project success. Collaboration often involves integrating your code with existing systems, participating in code reviews, and adapting quickly to Tesla’s fast-paced, innovative environment.

What are the key skills and qualifications needed to thrive as a Freelance Computer Scientist working with Tesla, and why are they important?

To thrive as a freelance computer scientist for Tesla, you generally need a strong background in computer science, programming (especially Python, C++, or Java), and relevant experience in areas like artificial intelligence, machine learning, or embedded systems. Familiarity with development tools such as Git, cloud platforms (AWS, Azure), and Tesla's proprietary software or APIs is often required. Excellent problem-solving abilities, adaptability, and proactive communication make a freelancer stand out in this fast-paced, innovative environment. These skills and qualities are crucial for delivering high-quality, timely solutions that align with Tesla's technological standards and project needs.
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Freelance Tesla Computer Science jobs near you
Applied AI Software Engineer, Design Automation, Factory Software

Applied AI Software Engineer, Design Automation, Factory Software

Tesla

Fremont, CA • On-site

Full-time

Posted 19 days ago

Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 676 frontline employees who took The Breakroom Quiz

1st of 44 rated automakers

Job description

Job Summary:
Tesla is seeking an Applied AI Software Engineer focused on design automation to join a small, high-performing team. The role involves designing, building, and deploying production software that automates workflows in the design and construction of factories, requiring a deep understanding of design processes and collaboration with engineering experts.
Responsibilities:
• Design, build, and ship production AI agents and automation that help design and engineering teams work faster and with fewer errors
• Develop custom parametric content and automation for Revit using C#, Python, and Dynamo to support multiple design disciplines
• Develop deep domain understanding of the design and BIM workflows each tool supports, and find the authoritative truth source for every data input
• Build the harness around the model, including tool definitions, retrieval, context assembly, and guardrails, so agents produce trustworthy, verifiable answers
• Write and iterate on prompts and tool instructions that make agents behave reliably
• Evaluate agent behavior rigorously by building eval sets and automated graders that measure output quality and catch regressions before they ship
• Integrate agents and automation with design tools and data systems including Revit, AutoCAD, IFC, and SQL databases
• Lead projects end to end, from gathering requirements with domain experts through architecture, implementation, testing, and production deployment
• Collaborate closely with design, project controls, and facilities teams to ensure each tool solves the real problem and earns user trust
• Maintain high engineering standards across version control, code review, CI/CD, monitoring, and logging for the tools project teams rely on
Qualifications:
Required:
• Strong software engineering fundamentals and a track record of shipping and maintaining production systems
• Proficiency in one or more modern languages such as C#, Python, Go, or JavaScript, including front-end frameworks such as React or Angular, with the ability to pick up others as the work demands
• Hands-on experience automating or extending design tools, with proven expertise in Revit and AutoCAD and visual programming with Dynamo
• Familiarity with IFC, data interoperability, and general awareness of other BIM and parametric design applications
• Experience with SQL databases such as Postgres or MySQL, and database integrations with design tools
• Hands-on experience building agents with a modern agent development framework such as Google ADK or LangGraph
• Practical experience working with LLMs, including prompt engineering, harness engineering, and retrieval-augmented generation (RAG)
• The curiosity and persistence to develop deep domain understanding and to find the truth source of data rather than assuming it
• Strong communication skills and the ability to give and receive technical feedback in a collaborative environment
• Bachelor's Degree in Computer Science, Engineering, or related or equivalent experience
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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