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Software QA Engineer, Self-Driving

North Holland, Netherlands (On-site)

Software QA Engineer, Self-Driving

1 Day ago • 3 Years + • Quality Assurance • Undisclosed

About the job

7 skills required for this role

Add these skills to join the top 1% applicants for this job

cpp

computer-vision

python

communication

quality-control

test-coverage

problem-solving

Job Description

As a Software QA Engineer for Tesla's self-driving team, you'll validate current and future Autopilot features, working towards unsupervised Full Self-Driving. Responsibilities include developing and validating features like Full Self-Driving, Autosteer, and Smart Summon; maintaining and improving testing tools and automation; conducting functional, stress, and performance tests across various levels (simulation, hardware-in-the-loop, in-vehicle); leveraging telemetry data to monitor Autopilot performance; defining effective test strategies; analyzing issues and collaborating with developers; reviewing system requirements; creating data visualizations and metrics; and potentially traveling internationally for testing. This role requires strong QA skills, experience with sensory-based robotics and AI, and proficiency in Python or C++.

Must have:

Solid coding skills (Python/C++)
Strong QA skills & attention to detail
Experience testing sensory-based robotics
Automotive/robotics feature validation
Excellent communication (English)
Troubleshooting software/hardware

Good to have:

ADAS/computer vision testing experience
Test automation experience

What to Expect

As a Software QA Engineer, you will be responsible for validating all current and future Autopilot features on the path to Unsupervised Full Self-Driving. You will work closely with the development team to drive the validation of new and existing Autopilot features, and you will be responsible for reporting and investigating issues that are detected in the field. The work you do will directly impact the experience that our customers around the world have with Autopilot. You will work with teams in the US, Europe, and Asia. This will require you to be flexible in terms of when you start or end your workday. A strong candidate will possess excellent quality assurance skills with a great attention to detail, have prior industry experience testing sensory-based robotics motion, planning and controls features, artificial intelligence, have a self-driven attitude, and a passion to deliver the highest quality software possible.

What You’ll Do

Help transition Tesla’s Autopilot to Unsupervised Full Self-Driving by developing & validating features including Full Self-Driving (Supervised), Autosteer, Autopark, Navigate on Autopilot, Smart Summon, and more
Support in maintaining existing tooling/automation/simulation code and pitch your own validation requirements to the tooling team on new tooling projects
Perform functional, stress, and performance tests on multiple levels within the system including vehicle software simulation, hardware-in-the-loop automation, and in-vehicle testing
Leverage Tesla’s vast telemetry pipeline to monitor Autopilot performance in the field
Identify effective test strategies for new/existing features and craft test plans accordingly
Analyze issues detected during your tests or reported by others and work closely with firmware developers to fix issues and validate software changes
Review of system requirements for testability and make sure software meets federal and internal requirements
Create data visualizations and metrics

What You’ll Bring

Evidence of solid coding skills in Python or C++. A live coding test will be part of the interview procedure
Very strong English communication skills in conversation and writing (CEFR C1 level minimum, no certificate needed)
Degree in Computer Science/Computer Engineering/Software Engineering, Information Systems, Electrical Engineering, Embedded Systems Engineering, or the equivalent in practical experience and evidence of exceptional ability
Several years of experience feature validation in the field of automotive, aerospace, nautical or robotic systems, embedded or system-level software, or consumer electronics hardware/software. Manual test execution is not considered as relevant experience
Evidence of hands-on experience troubleshooting on both software and hardware level
Outstanding attention to detail
Flexibility of traveling to various domestic and international destinations when necessary, to test vehicles on public roads, test tracks and proving grounds
Valid driver’s license
Experience testing ADAS features, and/or experience testing computer vision systems a big plus but not a must. Candidates with strong validation and test-automation experience from other fields of work, are welcomed to apply

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