On the journey to be the world's most trusted driver. With the Waymo Driver, we can improve mobility while saving thousands of lives. Download the Waymo app and ride today.

Waymo reaches out to candidates from official channels only (e.g. directly from @waymo.com email addresses, or through our recruiters or sourcers who are noted as such on LinkedIn). We do not contact candidates about career opportunities through instant messaging apps like Telegram, email addresses from domains other than waymo.com (such as Gmail addresses), direct messages on Twitter, Facebook, and Instagram, or text messages. Visit waymo.com/careers to check out our official job listings.

Industry: Technology, Information and Internet
Company Size: 1,001-5,000 employees

Waymo

Savvy Admin PROD

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

Rigorous performance evaluation of the Waymo Driver is a critical part of scaling our ride hailing service and achieving Waymo’s audacious goals. Waymo data scientists work hand-in-hand with engineering teams at each stage of the software development cycle, employing statistical models and developing metrics and measurement frameworks to ensure that the Waymo Driver meets our strict standards for safety, compliance, and driving and service quality. Autonomous driving presents a new paradigm in data science: in addition to leveraging data collected on-road, we generate our own data using state-of-the-art simulation technology—resulting in denser signals and challenging new problems in estimation and experimental design.

In this hybrid role you will report to a Data Science Manager.

**You Will**

- Develop evaluation frameworks for autonomous vehicle performance, for large-scale ML models, and for the quality of simulation.

- Develop new metrics, interpret trends, and investigate anomalies in data from simulation and on-road driving.

- Develop novel statistical methods to handle unique aspects of AV data; e.g. rate estimation with rare events, combining real and synthetic data, etc.

- Frame and solve ambiguous problems, derive data-driven conclusions, and communicate findings to senior stakeholders.

- Collaborate with Product and Engineering partners developing the Waymo Driver and Waymo’s simulation software; facilitate deployment readiness decisions for both products.

**You Have**

- Degree in a quantitative field (e.g. Statistics, Mathematics, Physics)

- 3+ years of industry experience solving data science problems or a PhD in a quantitative field

- Expertise using advanced statistical methods in an applied setting; familiarity with ML systems/models

- Demonstrated knowledge of Python/SQL/R data analysis libraries and packages

**We Prefer**

- PhD in a quantitative field

- Experience solving problems related to Autonomous Driving or Ride Hailing

- Experience in adjacent relevant areas like Advanced Machine Learning (Deep Learning and Diffusion models), Traffic Modeling, Safety Evaluation or Prediction

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range

$170,000—$216,000 USD

Data Scientist

InfoStride offers an open culture of trust, enhances the tech capabilities of business ecosystems, and breaks boundaries with new knowledge every day creating vibrant and innovation-led experiences across the globe.  

As a rapidly evolving IT Consulting and Services Firm, InfoStride takes pride in its ability to uniquely understand the intricacies of the consulting process in the technology ecosystem and ways to successfully deliver high-value projects with maximum impact, which is critical with the economic climate businesses endure today.

We align business ambitions with informed technological foresight and modernize architectural roadmaps predicated to unique enterprise needs. Our diverse service portfolio is designed to leverage a consultative approach with an innovative spirit that empowers businesses worldwide - from startups to Fortune 500 organizations - across various industries to galvanize their ideas from imagination to experience.

Vision:
InfoStride envisions a future where a culture of intelligence drives innovation to build evolutionary experiences for people and make technology simpler and sustainable for the world. 

Mission:
To simplify the way technology-based services are connecting environments, people, processes, and organizations.

Industry: IT Services and IT Consulting
Company Size: 201-500 employees

InfoStride

Few Details about the role :

We need support for system-level validation (SWE.6, SYS.4) using HIL platforms like dSpace and Vector tools (CANoe/CANalyzer). Experience with Autosar stack integration and classic Autosar tooling is also a priority.

What’s this team's overall project:

Team is supporting embedded automotive validation activities focused on Autosar-based ECU systems, hardware-in-the-loop validation, automation, and system-level integration testing. The work supports production-oriented automotive embedded platforms and validation environments.

What will they be working on:ECU/system-level validation

Hardware-in-the-loop (HiL) testing

Embedded automotive validation automation

Autosar stack validation and integration

Validation of ECU/device driver behavior

CAN/network communication validation

Test automation scripting

Working within simulation environments and partial-system hardware setups

Extending and executing automated validation frameworks

Integration/system-level testing activities

What does their day to day look like:Executing embedded validation test cases

Performing HiL and simulation-based testing

Writing/modifying Python automation scripts

Working with Vector or dSpace environments

CAN/CANoe/CANalyzer-based validation

Validating ECU interactions and embedded behaviors

Debugging communication/signaling issues

Reviewing requirements and validating expected system behavior

Supporting automation-heavy validation workflows

Collaborating closely with embedded developers and validation engineers onsite

What types of vehicles will they be working on:Vehicle agnostic. Applied Intuition supports automotive simulation and embedded validation platforms rather than traditional OEM end-to-end production vehicle environments. Engineers may work on partial systems, ECUs, simulation environments, and embedded automotive platforms.

Must Have Skills:

Automotive embedded validation experience

HiL (Hardware-in-the-Loop) testing experience

Embedded systems/ECU validation

Python scripting/automation experience

CAN/CAN bus understanding

Experience with Vector tools (CANoe/CANalyzer) OR dSpace

Automotive industry background

Validation engineering mindset

Experience working with partial systems/embedded hardware

Comfortable onsite 5 days/week

Ability to logically troubleshoot/debug systems

Desired Skills:

Autosar / Classic Autosar experience

ECU driver/device driver exposure

SiL (Software-in-the-Loop) testing

SWE.6 / SYS.4 exposure

Embedded C/C++ background

ECU integration testing

Automation framework development/extension

Simulation environment experience

Tier-1 supplier background

Embedded software development exposure

Strong debugging/troubleshooting mindset

Startup or fast-paced engineering environment experience

Target Candidate Backgrounds:Embedded Validation Engineer

ECU Validation Engineer

HiL Validation Engineer

Embedded Test Automation Engineer

Integration & Verification Engineer

Autosar Validation Engineer

ECU Integration Engineer

System Validation Engineer

Validation Engineer

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