Staff Systems Engineer - Simulation Verification & Validation

Zoox

2600

Foster City, CA, United States

Posted on: 2023-08-28

Category: emobility

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Employment type:

Full time

Experience required:

Intermediate

Salary

Salary not provided

About the company:

Zoox is transforming mobility-as-a-service by developing a fully autonomous, purpose-built fleet designed for AI to drive and humans to enjoy.

Simulation is key to ensuring the safety of autonomous vehicles at Zoox. In this critical role, you will ensure Zoox’s simulation framework is a trustable platform for AI driving software validation, by analyzing the accuracy and realism of the simulator, and how effective the sim platform is at predicting real-world driving performance. You will work cross-functionally with our AI/autonomy teams, systems engineering and safety analysis teams, QA teams, and more, to measure and guide improvements to our simulation platform.

Vaccine Mandate

Employees working in this position will be required to have received a vaccine approved by the U.S. Food and Drug Administration and/or the World Health Organization. In addition, employees who are eligible for a COVID-19 booster vaccine (“Booster”) will be required to receive a Booster. Employees will be required to show proof of vaccination status upon receipt of a conditional offer of employment. That offer of employment will be conditioned upon, among other things, an Applicant’s ability to show proof of vaccination status. Please note the Company provides reasonable accommodations in accordance with applicable state, federal, and local laws.

About Zoox

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

A Final Note:

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

Responsibilities

Derive requirements and perform system verification/validation for simulation frameworks and tools.

Drive planning and execution by decomposing system needs into projects, tools, and/or features that deliver incremental value to teams and customers.

Build metrics and tools which measure and continuously monitor simulation validity in alignment with company objectives.

Lead analyses of tools/frameworks and communicate results across stakeholders, driving continuous improvement to software components.

Collaborate with Engineering Managers to ensure design, implementation, and programs are on track, and regularly drive consensus among diverse partners on technical projects.

Develop clear proposals and design documents for large-scope or multi-functional initiatives.

Design and build statistically-sound analyses, sampling methods, validation criteria, and development processes for building highly relevant datasets for evaluation applications.

Build tools to mine large-scale logs and simulated data for the most interesting situations.

Typical workload: 30% validation strategy 30% coding, 40% dataset development and statistical analysis.

Qualifications

8+ years of experience in decomposing and analyzing large, complex systems.

Experience in systems engineering, requirements authoring, system analysis, and validation/testing.

Experience developing, specifying, and/or validating simulation-based testing technologies for autonomous, robotics, or other complex integrated systems.

Fluent in data-based and analytical engineering problem-solving practices, including using paretos and root cause analysis.

Excellent critical and analytical thinking skills: you can interpret what the data tells us and which analyses will reveal impactful conclusions.

Databricks, Jupyter Notebooks experience.

Proficient with Python, SQL, or similar for analysis of large datasets.

Clear track record of effective collaboration with data scientists, machine learning engineers, and platform teams, driving continuous delivery of quality results.

Comfortable working in a fast-paced environment and operating under ambiguity.

Strong communication skills and experience addressing diverse audiences.

BS, MS, or Ph.D. in Computer Science, Mechanical Engineering, Robotics, or equivalent experience

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