Tesla
Fleet Management Algorithms Engineer, Vehicle Software
Tesla, Palo Alto, California, United States, 94306
Fleet Management Algorithms Engineer, Vehicle Software
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Fleet Management Algorithms Engineer, Vehicle Software
role at
Tesla
What To Expect As a member of the Vehicle Controls team, you will work closely with our Fleetnet Team to advance Tesla’s in‑house fleet‑management algorithms that optimally manage day‑to‑day operations of the Robotaxi fleet, maximizing customer happiness and operational efficiency. You will apply a combination of strong skills in statistical analysis and operations research to develop state‑of‑the‑art systems, tackling problems such as 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 the 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 prevent regressions and ensure successful rollouts
Communicate analysis results and trade‑offs to decision makers and cross‑functional teams
What You'll Bring
Degree in Statistics, Operations Research, Computer Science, Data Science, or equivalent experience with evidence of exceptional ability
Fluency with exploratory statistical analysis and testing on large data sets
Strong background and experience in operations research techniques for fleet‑management/logistics problems
Evidence of design, analysis, and implementation of optimization schemes for real‑world systems
Understanding of operations research toolchains and their trade‑offs
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
Benefits
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 with 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: 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 based on location, job‑related knowledge, skills, and experience. The total compensation package may also include other elements contingent on the position offered. Details of benefit participation will be provided upon offer.
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Fleet Management Algorithms Engineer, Vehicle Software
role at
Tesla
What To Expect As a member of the Vehicle Controls team, you will work closely with our Fleetnet Team to advance Tesla’s in‑house fleet‑management algorithms that optimally manage day‑to‑day operations of the Robotaxi fleet, maximizing customer happiness and operational efficiency. You will apply a combination of strong skills in statistical analysis and operations research to develop state‑of‑the‑art systems, tackling problems such as 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 the 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 prevent regressions and ensure successful rollouts
Communicate analysis results and trade‑offs to decision makers and cross‑functional teams
What You'll Bring
Degree in Statistics, Operations Research, Computer Science, Data Science, or equivalent experience with evidence of exceptional ability
Fluency with exploratory statistical analysis and testing on large data sets
Strong background and experience in operations research techniques for fleet‑management/logistics problems
Evidence of design, analysis, and implementation of optimization schemes for real‑world systems
Understanding of operations research toolchains and their trade‑offs
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
Benefits
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 with 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: 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 based on location, job‑related knowledge, skills, and experience. The total compensation package may also include other elements contingent on the position offered. Details of benefit participation will be provided upon offer.
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