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Tesla Artificial Intelligence Jobs (NOW HIRING)

Production Engineer

Mountain View, CA · On-site +1

$155K - $185K/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 ...

Production Engineer

Mountain View, CA · On-site

$155K - $185K/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 ...

... Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

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

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

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

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

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Tesla Artificial Intelligence information

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$11K

$102.9K

$133K

How much do tesla artificial intelligence jobs pay per year?

As of Jul 16, 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 job?

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.

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 July 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $102,938 per year, or $49.5 per hour.
Associate Engineer (Job ID: 2275)

Associate Engineer (Job ID: 2275)

ConverseNow.ai

Austin, TX • On-site

Full-time

Medical, Retirement, PTO

Re-posted 24 days ago


Job description

Who We Are

ConverseNow is the leading voice AI platform for restaurants. Our virtual ordering assistants automate drive-thru and phone orders for a growing list of the world's leading restaurant brands. With cutting-edge technology and a passion for service, we sit at the intersection of tech, B2B SaaS and hospitality. Named to the Forbes AI 50 List, Built In's Startups to Watch List and recognized by TechCrunch, VentureBeat, Business Insider and Nation's Restaurant News among others, we're proud to have created a truly best-in-class technology that's leading the AI and restaurant worlds forward.

Backed by blue chip investors such as CRAFT Ventures (Tesla, Uber, Airbnb, Postmates, Slack) and Enlightened Hospitality Investments (led by Shake Shack Founder Danny Meyer), we've raised ~$35M in funding with our sights set on continued exponential growth. 

We owe our growth to the remarkable culture we've built at ConverseNow. Driven by team-selected core values of Ambition, Passion, Inclusiveness, Guest-Centricity and Low-Ego (our personal favorite), we boast a fun, collaborative work environment where team members are constantly learning from and supporting one another, voices are heard, and everyone has a seat at the table. We're based in Austin, TX, with a remote team distributed across the globe.

We are looking for a talented Associate Engineer with a skill-set consisting of quality assurance, testing, and customer service to join our fast-growing Drive-Thru team. This is an Austin, TX based role. 
What You'll Do
  • Facilitate hardware and software testing in the Austin office.
  • Dedicated support for ConverseNow Drive-Thru customers (store managers, day-to-day operations teams, etc.)
  • Willingness to travel of the time to on-site Drive-Thru locations. 
  • Manage inventory and project management for tracking and maintenance of live Drive-Thru devices in the field. 
  • Work alongside developers for management systems and operate day-to-day system configuration changes.
What You'll Bring
  • Ability to work in ambiguity and handle various responsibilities simultaneously. 
  • Experience communicating with customers and representing the brand. 
  • Basic Linux command line and scripting knowledge
  • Ability to install and uninstall packages.
  • Basic networking knowledge. Experience with Wireshark or other sniffers for local diagnostics.
What We Provide
  • Competitive benefits package, including 100% healthcare coverage
  • 401(k) match
  • Unlimited PTO 
  • An incredible team with tremendous passion for the company's mission, sharing a "Let's do this" attitude while maintaining a strong work/life balance
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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