Principal Software Engineer, Perception Architect
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- Work arrangement
- hybrid
- Employment
- Full-time
- Stated compensation
- USD 410,000–492,000 per-year-salary
- Stated sponsorship
- Not stated
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Requirements
1 with evidence8 unclear or unstated- Remote policy
- hybrid
“Provider workplace type: hybrid”
From employer posting metadata - Employment type
- Full-time
- Compensation
- USD 410,000–492,000 per-year-salary
8 fields not stated in this posting
- Employer sponsorship
- Not specified
- Geographic scope
- Not specified
- Degree requirement
- Not specified
- Security clearance
- Not mentioned
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- Not specified
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- Not mentioned
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- Not specified
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Original job description
Reading view uses normalized posting text so exact evidence excerpts can be highlighted.
Be the visionary Perception Architect designing the sensory "nervous system" for our next generation of autonomous products. Evolve our end-to-end perception architecture, serving as the essential liaison between Sensing teams and the core ML system. Drive architectural evolution toward next-generation sensing and compute platforms by influencing Hardware-Software Co-Design.
In this role, you will:
System Synthesis: Define the end-to-end perception architecture—assess new sensing (LiDAR, Radar, Camera) to the final fused world model.
Show less description
Hardware-Software Co-Design: Partner with Compute and Sensing teams to influence the design, ensuring our algorithms have the "computational oxygen" they need.
Algorithmic Strategy: Lead the transition from current pipelines to AI innovation pipelines, while maintaining the safety and interpretability required for edge deployment.
Future-Proofing: Evaluate emerging technologies and determine their viability for the 3-5 year roadmap.
Performance Budgeting: Collaborate on rigorous metrics for latency and accuracy across diverse edge-computing environments.
Lead cross functional teams: to create a viable plan to move to new platforms and unlock further technical capabilities for Perception systems. Coordinate projects across partner teams to make sure work is aligned with the overall org direction.
Qualifications
Education: Ph.D. or MS in Computer Science, Robotics, Electrical Engineering, or a related field with a focus on Computer Vision.
Experience: 8+ years in autonomous systems with at least 2 years in an architectural role, shipping and evolving perception systems
Deep Domain Expertise: Mastery of systems focused on Computer Vision, Deep learning, Foundational models, Sensor Fusion, and State Estimation (SLAM, EKF/UKF). Deep understanding of sensor modalities and their impact to perception/autonomy systems, including: Camera, lidar, radar.
Platform Proficiency: Deep understanding of hardware acceleration, component budgeting and transition to new platforms.
Mathematical Rigor: Strong foundation in 3D geometry, linear algebra, and probabilistic robotics.
Hands on Skills: Proficiency in C++ (production-grade) and Python (rapid prototyping). Ability to run experiments across system components and run metrics platforms.
Soft Skills: Curious, Data driven, with ability to translate complex technical trade-offs to non-technical stakeholders and executive leadership.
Original formatting and links
Be the visionary Perception Architect designing the sensory "nervous system" for our next generation of autonomous products. Evolve our end-to-end perception architecture, serving as the essential liaison between Sensing teams and the core ML system. Drive architectural evolution toward next-generation sensing and compute platforms by influencing Hardware-Software Co-Design.
System Synthesis: Define the end-to-end perception architecture—assess new sensing (LiDAR, Radar, Camera) to the final fused world model.
Hardware-Software Co-Design: Partner with Compute and Sensing teams to influence the design, ensuring our algorithms have the "computational oxygen" they need.
Algorithmic Strategy: Lead the transition from current pipelines to AI innovation pipelines, while maintaining the safety and interpretability required for edge deployment.
Future-Proofing: Evaluate emerging technologies and determine their viability for the 3-5 year roadmap.
Performance Budgeting: Collaborate on rigorous metrics for latency and accuracy across diverse edge-computing environments.
Lead cross functional teams: to create a viable plan to move to new platforms and unlock further technical capabilities for Perception systems. Coordinate projects across partner teams to make sure work is aligned with the overall org direction.
Education: Ph.D. or MS in Computer Science, Robotics, Electrical Engineering, or a related field with a focus on Computer Vision.
Experience: 8+ years in autonomous systems with at least 2 years in an architectural role, shipping and evolving perception systems
Deep Domain Expertise: Mastery of systems focused on Computer Vision, Deep learning, Foundational models, Sensor Fusion, and State Estimation (SLAM, EKF/UKF). Deep understanding of sensor modalities and their impact to perception/autonomy systems, including: Camera, lidar, radar.
Platform Proficiency: Deep understanding of hardware acceleration, component budgeting and transition to new platforms.
Mathematical Rigor: Strong foundation in 3D geometry, linear algebra, and probabilistic robotics.
Hands on Skills: Proficiency in C++ (production-grade) and Python (rapid prototyping). Ability to run experiments across system components and run metrics platforms.
Soft Skills: Curious, Data driven, with ability to translate complex technical trade-offs to non-technical stakeholders and executive leadership.
In this role, you will:
Qualifications
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