Senior/Staff Software Engineer - Behavior Capabilities
Listed by employer · Checked
Posting date unknown
- Work arrangement
- hybrid
- Employment
- Full-time
- Stated compensation
- USD 254,000–350,000 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)
- 9
“Master's degree in Computer Science or related field and 9+ years of experience”
See matched passage in original description ↓ - Employment type
- Full-time
- Compensation
- USD 254,000–350,000 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
These details were not stated in the tracked posting. Confirm with the employer.
Original job description
Reading view uses normalized posting text so exact evidence excerpts can be highlighted.
The Behavior Capabilities opportunity falls within the Fail Operational Planning team at Zoox. This team works to ensure that the robot continues to operate effectively, even in the presence of minor compartmentalized failures or degraded capabilities. The focus of the team includes developing behavioral and motion planning algorithms to improve trip progress, vehicle uptime metrics, and correspondingly a better customer experience. This is a cutting-edge problem which requires teamwork and collaboration across a diverse group of experts including Planner, Perception, Prediction, Hardware, and more.
On this team, you will contribute to the next generation of algorithmic advancements to expand our robot’s ability to drive in some of the most complex scenarios. We are looking for an engineer who is excited to understand the interdependencies within the driving stack and takes ownership of their projects and has a holistic product focused approach towards development.
In this role, you will:
Show less description
Create principled algorithmic improvements to specific areas of driving behavior and implement those changes in our code base.
Collaborate cross-functionally to develop strategies and intelligent behaviors to mitigate the performance degradation under various failure modes of the system.
Architect and implement scalable solutions ensuring seamless integration with the rest of the driving stack.
Partner with validation teams to define and execute tests for developed algorithms.
Qualifications:
Master's degree in Computer Science or related field and 9+ years of experience
Fluency in C++
Extensive experience with programming and algorithm design
Understanding of vehicle kinematics
Bonus Qualifications
PhD in Computer Science, Electrical Engineering, Mechanical Engineering, or related field
Experience shipping products to market (commercial robotics, drones, consumer devices etc.)
Demonstrated ability to create real-time motion planning algorithms in a cross-functional team
About ZooxZoox 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.
Follow us on LinkedIn
AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.
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.
Original formatting and links
The Behavior Capabilities opportunity falls within the Fail Operational Planning team at Zoox. This team works to ensure that the robot continues to operate effectively, even in the presence of minor compartmentalized failures or degraded capabilities. The focus of the team includes developing behavioral and motion planning algorithms to improve trip progress, vehicle uptime metrics, and correspondingly a better customer experience. This is a cutting-edge problem which requires teamwork and collaboration across a diverse group of experts including Planner, Perception, Prediction, Hardware, and more.
On this team, you will contribute to the next generation of algorithmic advancements to expand our robot’s ability to drive in some of the most complex scenarios. We are looking for an engineer who is excited to understand the interdependencies within the driving stack and takes ownership of their projects and has a holistic product focused approach towards development.
Create principled algorithmic improvements to specific areas of driving behavior and implement those changes in our code base.
Collaborate cross-functionally to develop strategies and intelligent behaviors to mitigate the performance degradation under various failure modes of the system.
Architect and implement scalable solutions ensuring seamless integration with the rest of the driving stack.
Partner with validation teams to define and execute tests for developed algorithms.
Master's degree in Computer Science or related field and 9+ years of experience
Fluency in C++
Extensive experience with programming and algorithm design
Understanding of vehicle kinematics
PhD in Computer Science, Electrical Engineering, Mechanical Engineering, or related field
Experience shipping products to market (commercial robotics, drones, consumer devices etc.)
Demonstrated ability to create real-time motion planning algorithms in a cross-functional team
About ZooxZoox 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.
Follow us on LinkedIn
AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.
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.
In this role, you will:
Qualifications:
Bonus Qualifications
Follow us on LinkedIn
AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.
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.
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