Tesla Motors, Inc.
Fleet Management Algorithms Engineer, Vehicle Software
Tesla Motors, Inc., Palo Alto, California, United States, 94306
What to Expect
As a member of the Vehicle Controls team, you will work closely with our Fleetnet Team on advancing the capability of Tesla's in-house fleet-management algorithms that will optimally manage day-to-day operations of our fleet of Robotaxis to maximize customer happiness and operational efficiency.
You will apply a combination of strong skills in statistical analysis and operations research, to help develop state-of-the-art systems. You will work on problems including developing optimal matching and dispatching policies, and real-time fleet management logic for the Tesla Robotaxi experience.
What You'll Do
Analyze large-scale data from our fleet to identify opportunities to improve operational efficiency of the Robotaxi fleet (pickup times, deadhead miles, etc.)
Design and implement optimization algorithms to manage Robotaxi fleet operations
Collaborate with Tesla Fleetnet Software Engineers to implement and deploy these algorithms at scale
Design and implement test plans and tools to measure efficacy and ensure quality of fleet management algorithms
Collaborate with Validation teams to ensure regression are prevented and rollouts are successful
Technical communication of analysis results and tradeoffs to decision makers and cross-functional teams
What You'll Bring
Degree in Statistics, Operations Research, Computer Science, Data Science, or equivalent in experience and evidence of exceptional ability
Fluency with exploratory statistical analysis and testing on large data sets
Strong fundamental background and experience in operations research techniques used to solve fleet management/logistics problems
Strong evidence of ability to ground-up design, analyze, and implement an optimization scheme for any real-world system
Strong understanding of operations research toolchains and their trade-offs
Strong evidence of ability to collaborate cross-functionally, work hands-on, and execute on open-ended projects in a fast-paced, resource-constrained environment
Proficiency in Python and Golang, and experience in collaborative code development
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:
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
Expected Compensation $133,440 - $355,920/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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You will apply a combination of strong skills in statistical analysis and operations research, to help develop state-of-the-art systems. You will work on problems including developing optimal matching and dispatching policies, and real-time fleet management logic for the Tesla Robotaxi experience.
What You'll Do
Analyze large-scale data from our fleet to identify opportunities to improve operational efficiency of the Robotaxi fleet (pickup times, deadhead miles, etc.)
Design and implement optimization algorithms to manage Robotaxi fleet operations
Collaborate with Tesla Fleetnet Software Engineers to implement and deploy these algorithms at scale
Design and implement test plans and tools to measure efficacy and ensure quality of fleet management algorithms
Collaborate with Validation teams to ensure regression are prevented and rollouts are successful
Technical communication of analysis results and tradeoffs to decision makers and cross-functional teams
What You'll Bring
Degree in Statistics, Operations Research, Computer Science, Data Science, or equivalent in experience and evidence of exceptional ability
Fluency with exploratory statistical analysis and testing on large data sets
Strong fundamental background and experience in operations research techniques used to solve fleet management/logistics problems
Strong evidence of ability to ground-up design, analyze, and implement an optimization scheme for any real-world system
Strong understanding of operations research toolchains and their trade-offs
Strong evidence of ability to collaborate cross-functionally, work hands-on, and execute on open-ended projects in a fast-paced, resource-constrained environment
Proficiency in Python and Golang, and experience in collaborative code development
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:
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
Expected Compensation $133,440 - $355,920/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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