Winter 2025 Operations Research Intern

Posted 14 Days Ago
Be an Early Applicant
Mountain View, CA
1 Years Experience
Automotive • Robotics • Software • Transportation
The Role
As an Operations Research Intern at Kodiak, you will develop a discrete event simulator for a large-scale autonomous vehicle fleet, perform analyses to identify operational inefficiencies, validate data, and communicate insights to stakeholders to improve operational efficiency.
Summary Generated by Built In

Kodiak was founded in April 2018 to develop autonomous technology that carries freight forward—so people, partners, and the planet thrive. Navigating highway environments presents vastly different challenges than urban streets. Kodiak’s experienced team has developed the industry’s most advanced technology stack purpose-built specifically for long-haul trucks. From our sensor fusion system that maximizes the value of every sensing modality, to our unique lightweight mapping solution that allows our trucks to navigate ever-changing highway construction zones, our world-class team of industry pioneers is bringing the benefits of autonomy to the $800B a year trucking industry quickly, safely, and efficiently.


We are seeking an Operations Research Intern to join our Systems Engineering team in January. As part of continuous improvement, Kodiak measures the operational performance of its AV operations and identifies opportunities for improving the AV fleet efficiency and uptime. You will be developing a discrete event simulator that models the operations of a large scale, driverless autonomous vehicle fleet. The simulator will model operational flows of autonomous vehicles based on real-world autonomous vehicle performance data to determine bottlenecks and inefficiencies. You will analyze the fleet operations to identify sensitive performance factors and potential operational optimizations. Your work will be used to inform company growth decision-making, engineering feature prioritization, and operational process optimization.

In this role, you will:

  • Develop of features for fleet operations simulator for a large scale, driverless autonomous vehicle deployment
  • Perform what-if analysis using the fleet operations simulator
  • Communicate results and recommendations to stakeholders
  • Identify key performance bottlenecks and partner with stakeholders to develop and implement solutions
  • Data Validation & Cleaning of Operations Data
  • Analyze fleet operational metrics

Qualifications:

  • BS/MS in Computer Science, Industrial Engineering, Operations Research, Mathematics, Statistics, Engineering, or related technical field 
  • Proficiency in Python
  • Strong communication skills for communicating analytical results to stakeholders
  • Experience with data visualization
  • Familiarity with Discrete Event Simulation tools like simpy
  • Knowledge of or experience with operations research

Internship Program Details:

  • Start Date: January 2025
  • Our internship program is 12-16 weeks; the end date is flexible based on individual needs
  • Location: Mountain View, CA
  • Housing: interns are responsible for housing

What we can offer:

  • A fast paced environment where we work with talented, committed and supportive teammates
  • Competitive pay
  • Excellent medical, dental and vision benefits. A beautiful facility in Mountain View
  • We love our dogs, so we are a dog friendly office!
  • Free catered lunch.

The monthly range for this intern position is $8,500 - $9,500. Our salary ranges are determined by role, level and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. We can share more about the specific salary range for your job level during the hiring process. Please note that the compensation details listed above are base salary only and do not include bonus, equity, or benefits.


At Kodiak, we strive to build a diverse community working towards our common company goals in a safe and collaborative environment where harassment of any kind is strictly prohibited. Kodiak is committed to equal opportunity employment regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or veteran status, or any other basis protected by applicable law.


In alignment with its business operations, Kodiak adheres to all relevant U.S. national security statutes, regulations, and administrative prerequisites. These statutes may impose limitations on Kodiak's capacity to engage specific individuals in particular roles based on various national security-related criteria. Kodiak will provide sponsorship for eligible candidate's. Consequently, the eligibility for this position may hinge on Kodiak's verification of a candidate's residence, U.S. person status, and/or citizenship status. In accordance with these statutes , Kodiak may find it necessary to secure a U.S. government export license before disseminating its technologies to specific individuals. Should Kodiak determine that a candidate's residence, U.S. person status, and/or citizenship status necessitate a license, prohibit the candidate from assuming this position, or otherwise fall under national security-related restrictions, Kodiak explicitly retains the right to either assess the candidate for an alternative position unaffected by such restrictions, under terms and conditions set forth at Kodiak's sole discretion, or, as an alternative, opt not to proceed with the candidate's application.

Top Skills

Python
The Company
HQ: Mountain View, CA
81 Employees
On-site Workplace
Year Founded: 2018

What We Do

Kodiak Robotics is an autonomous technology company redefining the long-haul trucking industry.

We believe self-driving trucks will be the first economically viable application of autonomous vehicle technology. We founded Kodiak in the spring of 2018 to make that belief a reality.

Safety is our top priority. We are taking a safe and responsible approach to developing and testing our technology.

We are proud to work with some of the best in the business. We’ve built a world class team of technologists from leading autonomous driving programs who know the industry inside and out. Our combined experience and commitment to the vision will allow us to put self-driving technology on the road in the safest and most effective way.

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