Software Engineer - Driving Behavior
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- Work arrangement
- hybrid
- Employment
- Full-time
- Stated compensation
- USD 177,000–270,000 per-year-salary
- Stated sponsorship
- Not stated
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Requirements
2 with evidence7 unclear or unstated- Remote policy
- hybrid
“Provider workplace type: hybrid”
From employer posting metadata - Minimum experience (years)
- 3
“Master's degree in Computer Science or related field and 3+ years of experience”
See matched passage in original description ↓ - Employment type
- Full-time
- Compensation
- USD 177,000–270,000 per-year-salary
7 fields not stated in this posting
- Employer sponsorship
- Not specified
- Geographic scope
- Not specified
- Degree requirement
- Not specified
- Security clearance
- Not mentioned
- Timezone / hours
- Not specified
- Citizenship requirement
- Not mentioned
- Work authorization
- Not specified
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Original job description
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In this role, you will:
Design behavioral and motion planning algorithms to improve driving behavior in new geofences and implement those designs in our code base.
Adapt existing algorithms and software modules for autonomous driving in new geofences.
Integrate and test your developed applications in the robot, learn, and make improvements.
Work collaboratively with cross-functional teams to support the integration and validation of software components and features for geofence expansion.
Support or lead vehicle testing to generate actionable feedback on driving performance.
Write and file patents for novel technologies you develop.
Qualifications
Master's degree in Computer Science or related field and 3+ years of experience
Proficient in C++ programming
Proven experience in at least one of the following domains: behavioral planning, motion planning, or mission planning for autonomous vehicles
Bonus Qualifications
Experience with behavioral and motion planning for high-speed autonomous driving
Experience with autonomous robots and machine learning or data-driven development processes
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