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Manager Tesla Ai Jobs (NOW HIRING)

You will manage all administrative functions, own impactful projects, and become deeply involved in ... Astrong passion for Tesla's mission Compensation and Benefits Benefits Along with competitive pay ...

ABOUT xAI xAI's mission is to create AI systems that can accurately understand the universe and aid ... Create and manage Tesla service tickets for technical issues, providing detailed logs, data, and ...

ABOUT xAI xAI's mission is to create AI systems that can accurately understand the universe and aid ... Create and manage Tesla service tickets for technical issues, providing detailed logs, data, and ...

ABOUT xAI xAI's mission is to create AI systems that can accurately understand the universe and aid ... Create and manage Tesla service tickets for technical issues, providing detailed logs, data, and ...

The rolesits at the intersection of HR and technology, driving initiatives that deploy AI to ... Tesla Babies program * Commuter benefits * Employee discounts and perks program

Sr. Software Engineer, AI

Palo Alto, CA · On-site

$120K - $252K/yr

Deep knowledge of transformer-based LLMs, tokenization, embeddings, context management,evalsand ... Tesla Babies program * Commuter benefits * Employee discounts and perks program Expected ...

Sr. Data Analyst, Machine Learning

Fremont, CA · On-site

$94K - $119K/yr

Tesla is seeking a highly skilled Sr Data Analyst to enhance predictive analytics and machine ... Responsibilities : • Co-design AI applications with the Data Engineering team, defining model ...

Sr. Data Analyst, Machine Learning

Fremont, CA · On-site

$94K - $119K/yr

Tesla is seeking a highly skilled Sr Data Analyst to build and scale predictive analytics and ... Responsibilities : • Co-design AI applications with the Data Engineering team, defining model ...

Data Engineer, Inbound Logistics

Fremont, CA · On-site

$125K - $151K/yr

The role involves designing and maintaining ETL pipelines, managing cost-savings initiatives, and ... and AI-assisted development for data processing and automation is a plus Company : Tesla is an ...

You will focus on building the control plane for our infrastructure, including resource management ... Tesla Babies program * Commuter benefits * Employee discounts and perks program

The agent is live, in production, handling real workflows for Tesla, BMW, Meta, and Amazon. You'll ... Architecture decisions: tool-calling strategy, state management, context handling, model routing ...

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Manager Tesla Ai information

Is it difficult to get hired at Tesla?

Getting hired as a Manager at Tesla AI can be competitive due to the company's high standards and demand for specialized skills in artificial intelligence and machine learning. Candidates typically need relevant experience, strong technical expertise, and a proven track record in leadership roles. The hiring process often involves multiple interviews and technical assessments to evaluate both technical and soft skills.

How much do Tesla AI engineers make?

Tesla AI engineers typically earn between $100,000 and $160,000 annually, depending on experience, location, and specific role responsibilities. Compensation may also include bonuses, stock options, and benefits, with senior positions earning higher salaries. Skills in machine learning, deep learning, and programming are often required for these roles.

Who is the head of AI at Tesla?

As of October 2023, the head of AI at Tesla is Elon Musk, who oversees the company's AI and Autopilot development efforts. Tesla's AI team also includes senior engineers and researchers focused on autonomous driving and machine learning technologies.

What is the difference between Manager Tesla Ai vs Data Scientist Tesla Ai?

AspectManager Tesla AiData Scientist Tesla Ai
Required CredentialsBachelor's or Master's in Computer Science, Engineering, or related field; leadership experienceBachelor's or Master's in Data Science, Statistics, or related field; strong programming skills
Work EnvironmentTeam leadership, project management, cross-department collaborationData analysis, model development, algorithm optimization
Employer & Industry UsageTesla's AI and Autopilot teams, automotive technology

The Manager Tesla Ai oversees AI projects, manages teams, and coordinates efforts across departments, focusing on strategic implementation. In contrast, the Data Scientist Tesla Ai primarily analyzes data, develops models, and improves AI algorithms. Both roles require technical expertise, but the manager emphasizes leadership and project oversight, while the data scientist concentrates on technical analysis and model development.

Which 3 jobs will survive AI?

For a Manager Tesla AI, roles that require complex problem-solving, emotional intelligence, and creative thinking are less susceptible to automation. Jobs such as AI ethics specialists, AI system trainers, and strategic decision-makers are expected to persist, as they involve nuanced judgment and human oversight. Technical skills, adaptability, and continuous learning are essential to stay relevant in an evolving AI landscape.
More about Manager Tesla Ai jobs
What cities are hiring for Manager Tesla Ai jobs? Cities with the most Manager Tesla Ai job openings:
What are the most commonly searched types of Tesla Ai jobs? The most popular types of Tesla Ai jobs are:
What states have the most Manager Tesla Ai jobs? States with the most job openings for Manager Tesla Ai jobs include:
What job categories do people searching Manager Tesla Ai jobs look for? The top searched job categories for Manager Tesla Ai jobs are:
Infographic showing various Manager Tesla Ai job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.
Software Engineer, Agentic Tooling, Tesla AI

Software Engineer, Agentic Tooling, Tesla AI

Tesla

Palo Alto, CA

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago


Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 663 frontline employees who took The Breakroom Quiz

1st of 44 rated automakers


Job description

What to Expect

Tesla AI's Agentic Tooling team builds the harness and skill ecosystem for the AI org powering FSD and Optimus. Our agents already do real engineering work day-to-day for engineers across the org. We own the customized harness end-to-end: the orchestration around model backends, the tool ecosystem agents call into, the session and memory layer, the observability stack, and the evaluation system that gates every prompt, skill, and model upgrade.

You'll work across the full surface of the team, extending the harness, shipping new skills, building evaluations, owning observability, and picking up whatever is most leveraged each quarter. Models and skills evolve weekly, so a fast iteration loop and honest measurement of what you ship are non-negotiable.

What You'll Do
  • Harness development: Extend the agent runtime and tool ecosystem end-to-end. Add new tools, integrations, and backends without regressing existing skills, and keep the platform easy to extend as the ecosystem evolves

  • Skill development: Ship new skills that solve real workflows for engineers across the AI org, from one-off automations to the agent capabilities that get reused across the fleet
  • Evaluation: Build and operate the evaluation framework that catches regressions in prompts, skills, harness changes, and model upgrades before they reach users
  • Observability and reliability: Own session-level observability across our tracing, logging, and metrics stack. Build the dashboards and alerting that tell us when an agent is broken before users do
  • Production infrastructure: Operate our production agent services on Kubernetes, async backend services, durable storage for session memory and embeddings, and the public-facing APIs that route work to them
  • Contribute to architectural decisions: With a focus on security, scalability, and reliability, especially around credential isolation and the seams between our harness, the model runtime, and the sandboxing layer
  • Embed with users and ship cross-team, end-to-end: This is a collaboration-heavy role. You'll sit with engineers across the AI org to understand their workflows, identify the moments where an agent could remove toil, and drive the solution from the first conversation through prototype, rollout, and hand-off. Many of our highest-impact tools start as zero-to-one builds where you step in, learn enough of a stakeholder's domain to understand what "done" looks like, and ship the first version yourself

What You'll Bring
  • Proficiency with Python; Go is a plus

  • Strong foundation in Linux systems. Containerization and Kubernetes experience are a plus
  • Strong foundation in concurrent and async programming
  • Experience with relational and vector data stores (session memory and embeddings back our long-running agent workflows) is a plus
  • Open-ended problems and product instincts: You enjoy talking to engineers across teams, can convert a vague ask into a shipped solution end-to-end, and bias toward a usable v1 that people adopt over a "complete" solution that takes months to set up
  • Adaptability and curiosity in a fast-paced space: Agentic tooling moves weekly. You stay current on new models, frameworks, and agent patterns as a matter of habit, and you can re-platform your own work when the right answer changes underneath you
  • Experience with the Claude Code SDK, ACP (Agent Client Protocol), or opencode is a plus
  • Experience with sandboxing techniques and application security, sandboxed code execution, container isolation, capability-based access control, credential isolation, secrets management, is a plus
  • Experience building or operating an evaluation pipeline for skills, prompts, or models, offline replay, scoring against ground truth, regression gating in CI, or comparable work, is a plus
  • Experience with CI/CD pipelines for ML or agent systems, distributed task orchestration, or developer-tools work where the customer is another engineer is a plus
Compensation and Benefits Benefits

Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

  • Medical plans > plan options with $0 payroll deduction
  • Family-building, fertility, adoption and surrogacy benefits
  • Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
  • Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA
  • Healthcare and Dependent Care Flexible Spending Accounts (FSA)
  • 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
  • Company paid Basic Life, AD&D
  • Short-term and long-term disability insurance (90 day waiting period)
  • Employee Assistance Program
  • Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays
  • Back-up childcare and parenting support resources
  • Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
  • Weight Loss and Tobacco Cessation Programs
  • Tesla Babies program
  • Commuter benefits
  • Employee discounts and perks program
Expected Compensation $140,000 - $390,000/annual salary + cash and stock awards + benefits

Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.


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