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Freelance Tesla Computer Science Jobs (NOW HIRING)

Reliability Data Engineer

Fremont, CA · On-site

$112.60K - $141.60K/yr

Required : • Degree in Computer Science, Computer Engineering, or equivalent experience • 2+ ... Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and ...

... Tesla platforms to enable various features Qualifications : Required : • Bachelor's Degree in a relevant engineering program such as Computer Science or Engineering, or other majors with strong ...

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 freelance tesla computer science jobs pay per hour?

As of May 31, 2026, the average hourly pay for freelance tesla computer science in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

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.

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 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.
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Software Engineer, Core AI Compiler & Runtime, Pre-Silicon

Software Engineer, Core AI Compiler & Runtime, Pre-Silicon

Tesla

Palo Alto, CA • On-site

Full-time

Posted 19 days ago


Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

1st of 44 rated automakers


Job description

Job Summary:
Tesla is seeking a Software Engineer within their Autonomy teams to contribute to one of the most advanced AI Platforms for Autopilot and their Humanoid Robot, Optimus. The role involves developing and maintaining a compiler toolchain for pre-silicon development, collaborating with cross-functional teams to optimize performance for Tesla's next generation of custom hardware accelerators.
Responsibilities:
• Write, debug and maintain robust software for Tesla AI (Compiler / Runtime) focusing on early stages of silicon development
• Design performance-critical hardware features enabling running inference/training workloads at scale
• Design new APIs and Domain-Specific Languages (DSLs) enabling programmability of next generation hardware architectures
• Develop backend code generation for new hardware architectures using MLIR/LLVM
• Analyze and debug functional and performance issues on massively parallel systems
Qualifications:
Required:
• Demonstrated expertise with ML compilers/runtimes (e.g. MLIR, LLVM, XLA, PJRT, TensorRT)
• Experience with development of Domain-Specific Languages (DSLs) like Triton, cuTile, Pallas
• Robust familiarity with CPUs, GPUs and modern AI accelerators
• Advanced knowledge of computer architecture, distributed systems, networking, and collectives
• Proficient C/C++ programming C/C++ including modern C/C++ (C++14/17/20)
• Basic Python proficiency
• Familiarity with modern ML architectures
• Degree in Engineering, Computer Science, or equivalent in experience and evidence of exceptional ability
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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