채용
Tesla’s Factory Automation Robotics team builds fleet management and robot control software that operates autonomous robots and automation systems - including AMRs, ASRS, conveyance systems, and Optimus - across global manufacturing and warehouse facilities. These systems are production-critical and directly impact factory throughput, uptime, and scalability.
We are seeking a robotics software integrations engineer to lead deployments, provide production support, and drive continuous improvement of these applications across Tesla factories. The role blends a software engineering foundation with project leadership and cross-functional coordination to ensure reliable delivery, adoption, and sustained performance of robotics and automation systems.
The ideal candidate is equally comfortable debugging distributed and edge software issues, representing factory needs to engineering teams, and guiding cross-functional groups through new deployments.
This position is based in Austin, TX, with up to 15% travel to Tesla factories worldwide for onsite project launches.
What You'll Do
Compensation and Benefits
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
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About Tesla

Tesla
PublicA financial leasing taxi company that provides vehicles to customers
140,000+
Employees
Ciudad De Panamá
Headquarters
$800B
Valuation
Reviews
3.1
5 reviews
Work Life Balance
1.5
Compensation
1.2
Culture
1.3
Career
1.8
Management
1.1
15%
Recommend to a Friend
Pros
Strong financial performance
Revenue growth
Company achieving targets
Cons
Poor compensation and raises below inflation
Union-busting and anti-labor practices
Unpaid work demands and wage theft
Salary Ranges
3,570 data points
Junior/L3
Mid/L4
Junior/L3 · Associate Analyst
2 reports
$94,875
total / year
Base
$82,500
Stock
-
Bonus
-
$92,000
$97,750
Interview Experience
4 interviews
Difficulty
3.5
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 75%
Negative 25%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Take-home Assignment
5
Panel Interview
6
Offer
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
Machine Learning Concepts
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