What to Expect
Tesla’s Robotics Software Engineering team designs and develops robotic controls and fleet management systems for manufacturing, material flow, and logistics use cases. This includes managing Autonomous Mobile Robots (AMRs), Automated Storage and Retrieval Systems (ASRSs), and conveyor systems. We are seeking a software engineer to drive new features and improvements for both onboard robot controllers and server-side fleet management systems, while also addressing sustaining engineering needs. The team operates in Fremont, CA, and Austin, TX, with up to 15% travel to Tesla factories worldwide for onsite support during project launches. This position will be located in Austin, TX.

What You’ll Do

• Responsible for developing, maintaining, and improving algorithms and models associated with perception, navigation, safety, and fleet management of autonomous mobile robots
• Path planning: Vehicle kinematics and Motion Controls; Model predictive control and dynamics-based trajectory optimization
• Perception: State estimation, Mapping & Localization using SLAM; Obstacle detection and avoidance; Precision Docking; Object tracking
• Contribute to and take ownership of the end-to-end design and implementation of features from early prototype to production release
• Collaborate with cross-functional teams to gather feedback and identify areas for improvement, planning them within the engineering design cycle iterations
• Support ongoing projects in production by identifying, debugging, and resolving issues to ensure service uptime

What You’ll Bring

• Degree in Computer Science, Robotics or a related field, or equivalent industry experience
• 2+ years of proven experience in industrial robotics controls systems, particularly with algorithms related to state estimation, perception, localization, navigation, and path planning for autonomous mobile robots
• Experience developing and debugging real-time, multithreaded software systems using C/C++ on Linux based platforms (Familiarity with RTPreempt and Linux kernel configuration is a plus)
• Familiarity with sensor technologies such as LIDAR, IMU, cameras, depth sensors, and their integration in robotics applications
• Familiarity with functional safety standards is a plus
• Ability to adapt to fast-paced, iterative development cycles in a dynamic environment, using standard CI tools like Git while following rigorous documentation and testing standards
• Excellent problem-solving skills and ability to work on complex technical challenges
• Effective communication skills for collaborating with cross-functional teams
• Self-motivated and proactive in learning new concepts and technologies
• Ability to travel up to 15% of the time

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:

• Aetna PPO and HSA plans > 2 medical 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 Account) HSA Contribution when enrolled in the High Deductible Aetna 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
• Employee Assistance Program
• Sick and Vacation time (Flex time for salary 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

Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.
Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process

• Responsible for developing, maintaining, and improving algorithms and models associated with perception, navigation, safety, and fleet management of autonomous mobile robots
• Path planning: Vehicle kinematics and Motion Controls; Model predictive control and dynamics-based trajectory optimization
• Perception: State estimation, Mapping & Localization using SLAM; Obstacle detection and avoidance; Precision Docking; Object tracking
• Contribute to and take ownership of the end-to-end design and implementation of features from early prototype to production release
• Collaborate with cross-functional teams to gather feedback and identify areas for improvement, planning them within the engineering design cycle iterations
• Support ongoing projects in production by identifying, debugging, and resolving issues to ensure service uptim