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Tesla Artificial Intelligence Jobs (NOW HIRING)

Technical Recruiter

Mountain View, CA · On-site

$120K - $150K/yr

Using artificial intelligence, Otter generates real-time automated meeting notes, summaries, and ... The company is backed by early investors in Google, DeepMind, Zoom, and Tesla. Otter.ai is an equal ...

New

Technical Recruiter

Mountain View, CA · Hybrid

$120K - $150K/yr

Using artificial intelligence, Otter generates real-time automated meeting notes, summaries, and ... The company is backed by early investors in Google, DeepMind, Zoom, and Tesla. Otter.ai is an equal ...

New

... Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Showing results 21-40

Tesla Artificial Intelligence information

See salary details

$11K

$102.9K

$133K

How much do tesla artificial intelligence jobs pay per year?

As of Aug 7, 2026, the average yearly pay for tesla artificial intelligence in the United States is $102,938.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $132,500.00 per year, depending on experience, location, and employer.

What are the typical projects and daily responsibilities for someone in a Tesla Artificial Intelligence role?

At Tesla, professionals in Artificial Intelligence roles work on projects that advance autonomous driving, robotic automation, and intelligent energy management systems. Daily responsibilities often include designing and training machine learning models, analyzing large data sets captured from Tesla vehicles, collaborating with multidisciplinary engineering teams, and optimizing AI algorithms for deployment in real-world scenarios. You can expect to participate in code reviews, contribute to scalable system design, and work closely with hardware teams to ensure seamless integration of AI solutions. This dynamic environment offers the chance to contribute to high-impact products and to grow your expertise in a rapidly evolving field.

What is a Tesla Artificial Intelligence?

A Tesla Artificial Intelligence job involves working on cutting-edge AI technologies to advance Tesla's autonomous driving, robotics, and energy solutions. Roles in AI at Tesla range from neural network research and machine learning engineering to software development and data analysis. Employees in this field contribute to the development of Full Self-Driving (FSD), Optimus humanoid robots, and AI-driven manufacturing. Strong programming skills, experience with deep learning, and a passion for innovation are essential for these roles.

What are the key skills and qualifications needed to thrive in the Tesla Artificial Intelligence position, and why are they important?

To thrive in a Tesla Artificial Intelligence role, a deep understanding of machine learning, neural networks, computer vision, and software engineering—supported by a relevant degree and hands-on project experience—is essential. Familiarity with tools such as Python, TensorFlow or PyTorch, and large-scale data processing frameworks, along with experience deploying AI models in production environments, are highly valuable. Strong problem-solving skills, innovative thinking, and effective teamwork enable professionals to excel in Tesla's fast-paced and collaborative setting. These competencies are vital for developing cutting-edge AI systems that directly impact Tesla’s products and mission.

More about Tesla Artificial Intelligence jobs
What are the most commonly searched types of Tesla Artificial Intelligence jobs? The most popular types of Tesla Artificial Intelligence jobs are:
What states have the most Tesla Artificial Intelligence jobs? States with the most job openings for Tesla Artificial Intelligence jobs include:
What job categories do people searching Tesla Artificial Intelligence jobs look for? The top searched job categories for Tesla Artificial Intelligence jobs are:
Infographic showing various Tesla Artificial Intelligence job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 86% Full Time, 9% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $102,938 per year, or $49.5 per hour.

Senior Software Engineer, Data Infrastructure

Otter.ai

Mountain View, CA • On-site, Remote

$185K - $230K/yr

Full-time

Re-posted 19 days ago


Job description

The Opportunity

We are looking for an experienced Software Engineer with a passion for building robust and scalable data infrastructure to join our Data Platform team. In this role, you'll design and develop the foundational systems that power the flow of data across the company, enabling fast insights and smarter decisions as we grow. Our mission is to create a platform that turns raw information into actionable intelligence - efficiently, reliably, and at scale. If you're excited about building the backbone of a data-driven organization and thrive in a space where engineering excellence meets real-world impact, we'd love to talk.

Your Impact
  • Design and build resilient systems for real-time data movement, processing, and storage
  • Scale data infrastructure to support our rapidly growing business needs
  • Unlock actionable insights by enabling seamless, governed access to high-quality, trustworthy data
  • Drive innovation in data ingestion, transformation, and delivery across the company
  • Establish best practices that balance performance, flexibility, and governance at scale

We're Looking for Someone Who

  • Has a Bachelor's or Master's degree in Computer Science or a related field
  • 5+ years in data infrastructure
  • Has strong programming skills, preferably in Python or Java
  • Has expertise with cloud data lakes such as Snowflake or Databricks
  • Has experience with streaming and big data processing frameworks (e.g., Kafka, Spark)
  • Is experienced with workflow orchestration systems (e.g., Apache Airflow, Dagster, Prefect)
  • Has implemented CDC solutions (e.g., Debezium, Maxwell)
  • Has experience with cloud platforms (preferably AWS) and containerization tools (e.g., Docker, Kubernetes)
Nice to Haves
  • exposure to data governance, PII handling, or policy-driven access control - e.g., RBAC at scale, SQL-level data masking, or policy compiler / lineage systems
About Otter.ai 

We are in the business of shaping the future of work. Our mission is to make conversations more valuable.

With over 1B meetings transcribed, Otter.ai is the world's leading tool for meeting transcription, summarization, and collaboration. Using artificial intelligence, Otter generates real-time automated meeting notes, summaries, and other insights from in-person and virtual meetings - turning meetings into accessible, collaborative, and actionable data that can be shared across teams and organizations. The company is backed by early investors in Google, DeepMind, Zoom, and Tesla.

Otter.ai is an equal opportunity employer. We proudly celebrate diversity and are committed to building an inclusive and accessible workplace.  We provide reasonable accommodations for qualified applicants throughout the hiring process.  

Accessibility & Accommodations

Otter.ai is committed to providing reasonable accommodations for candidates with disabilities in our hiring process.  If you need assistance or an accommodation during any stage of the recruitment process, please contact hr@otter.ai at least 3 business days before your interview.

*Otter.ai does not accept unsolicited resumes from 3rd party recruitment agencies without a written agreement in place for permanent placements. Any resume or other candidate information submitted outside of established candidate submission guidelines (including through our website or via email to any Otter.ai employee) and without a written agreement otherwise will be deemed to be our sole property, and no fee will be paid should we hire the candidate.

Salary range

Salary Range: $185,000 to $230,000 USD per year.

This salary range represents the low and high end of the estimated salary range for this position. The actual base salary offered for the role is dependent on several factors. Our base salary is just one component of a comprehensive total rewards package.

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