Fleet Management Algorithms Engineer, Vehicle Controls

Tesla; Palo Alto (CA); On-site; USD 133,000 - 356,000; Full time

Job summary

A leading company in the renewable energy sector is seeking a Fleet Management Algorithms Engineer to enhance its Robotaxi fleet operations. You will develop algorithms for optimization and collaborate with software engineers to deploy these solutions. This entry-level position offers competitive pay and comprehensive benefits from day one, including medical plans, 401(k) matching, and more.

Benefits

Multiple medical plans with $0 payroll deduction

Family-building and fertility benefits

Dental and vision plans with $0 contribution options

401(k) with employer match

Employee Stock Purchase Plans

Company-paid insurance

Flexible time off

Paid holidays

Back-up childcare resources

Employee discounts

Qualifications

• Proficiency in exploratory statistical analysis on large datasets.
• Experience in designing and implementing optimization schemes.

Responsibilities

• Analyze large-scale fleet data to identify operational improvements.
• Design and implement optimization algorithms for fleet operations.
• Communicate analysis results to decision-makers.

Skills

Statistical Analysis

Operations Research

Collaboration

Python

Golang

Education

Degree in Statistics

Degree in Operations Research

Degree in Computer Science

Degree in Data Science

Job description

Fleet Management Algorithms Engineer, Vehicle Controls

Join to apply for the Fleet Management Algorithms Engineer, Vehicle Controls role at Tesla.

Role Overview

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. These algorithms are designed to optimize the daily operations of our Robotaxi fleet, enhancing customer satisfaction and operational efficiency.

You will leverage your skills in statistical analysis and operations research to develop cutting-edge systems. Your work will focus on problems such as creating optimal matching and dispatching policies and developing real-time fleet management logic for Tesla Robotaxis.

Key Responsibilities

1. Analyze large-scale fleet data to identify operational improvements (e.g., pickup times, deadhead miles).
2. Design and implement optimization algorithms for fleet operations.
3. Collaborate with Tesla Fleetnet Software Engineers to deploy these algorithms at scale.
4. Develop test plans and tools to evaluate algorithm efficacy and quality.
5. Work with Validation teams to prevent regressions and ensure successful rollouts.
6. Communicate analysis results and trade-offs to decision-makers and cross-functional teams.

Qualifications

• Degree in Statistics, Operations Research, Computer Science, Data Science, or equivalent experience demonstrating exceptional ability.
• Proficiency in exploratory statistical analysis and testing on large datasets.
• Strong background in operations research techniques for fleet management/logistics problems.
• Experience designing, analyzing, and implementing 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 open-ended projects in a fast-paced environment.
• Proficiency in Python and Golang, with experience in collaborative code development.

Benefits

Along with competitive pay, Tesla offers benefits from day 1, including:

• Multiple medical plans with $0 payroll deduction.
• Family-building, fertility, adoption, and surrogacy benefits.
• Dental and vision plans with $0 contribution options.
• Health Savings Account (HSA) contributions.
• Flexible Spending Accounts (FSA).
• 401(k) with employer match, Employee Stock Purchase Plans, and more.
• Company-paid insurance (Life, AD&D, disability).
• Employee Assistance Program, paid holidays, and flexible time off.
• Back-up childcare and parenting resources.
• Voluntary benefits including critical illness, pet insurance, and more.
• Additional programs such as Tesla Babies, commuter benefits, and employee discounts.

Expected compensation ranges from $133,440 to $355,920 annually, plus stock awards and benefits. Final offers depend on individual factors such as location, skills, and experience.

Additional Details

Seniority Level: Entry level

Employment Type: Full-time

Job Functions: Management and Manufacturing

Industries: Motor Vehicle Manufacturing, Renewable Energy, Semiconductor Manufacturing, Utilities