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Internship Tesla Computer Science Jobs in California

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 ...

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... 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 ...

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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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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.

What are the most commonly searched types of Tesla Computer Science jobs in California? The most popular types of Tesla Computer Science jobs in California are:
What cities in California are hiring for Internship Tesla Computer Science jobs? Cities in California with the most Internship Tesla Computer Science job openings:
Infographic showing various Internship Tesla Computer Science job openings in California as of May 2026, with employment types broken down into 1% As Needed, and 99% Full Time. Highlights an 99% Physical, and 1% Remote job distribution.
Kernel Optimization Software Engineer, AI Hardware

Kernel Optimization Software Engineer, AI Hardware

Tesla

Palo Alto, CA • On-site

Full-time

Posted 27 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 a leading company in AI hardware development, and they are seeking a Kernel Optimization Software Engineer to enhance the performance of their AI-ASICs. This role involves optimizing kernels for inference and training, collaborating with hardware teams, and researching state-of-the-art machine learning techniques.
Responsibilities:
• Implement, optimize, and profile highly performant kernels for inference and training on Tesla's AI and Dojo ASICs
• Optimize bottlenecks in the inference flow, make precision/performance tradeoff decisions, and develop novel techniques to improve hardware utilization and throughput
• Work on a variety of edge and datacenter workloads, from small encoders/decoders to distributed LLM inference
• Work with hardware teams to shape the next generation of Tesla hardware, evaluating architectural tradeoffs and balancing performance with versatility
• Research and implement state-of-the-art machine learning techniques to achieve high performance on our hardware
• Experiment with numerical methods and alternative architectures
• Collaborate with the compiler team on programmability and performance
Qualifications:
Required:
• Hands-on experience with kernel optimization, distributed systems, inference runtimes, or serving frameworks
• Experience with LLMs, transformers, state space models, diffusion models, CNNs, and their performance characteristics
• Familiarity with performance modeling and roofline analysis
• Understanding of computer and GPU architecture, SIMD, multithreading, and/or other accelerators with vectorized instructions
• Strong analytical and debugging skills
• Ability to work across team boundaries with compiler, hardware, and ML teams
• Degree in Engineering, Computer Science, or equivalent in experience and evidence of exceptional ability
Preferred:
• Contributions to ML serving frameworks, compilers, and frameworks is a bonus (e.g. SGLang, LLVM, PyTorch, MLIR)
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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