Senior Perception Engineer

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Primary

Location:

United States (US) - California - Santa Clara

Function: Product Engineering (CA)

Title: Senior Perception Engineer - 122281

Onsite/Remote: Onsite Position

• Develop and maintain perception capabilities across the full autonomy stack — working from onboard C++ systems and sensor interfaces up through applied ML models that interpret the environment
• Develop and maintain key components of the perception pipeline, including data ingestion, labeling, model execution, and downstream interfaces used by planning and controls
• Diagnose and resolve perception failures using logs and sensor data — reconstructing system behavior when real‑time debugging isn’t possible and driving issues to root cause
• Implement and optimize C++ modules running on embedded and edge compute platforms, ensuring real‑time performance, robustness, and clean integration with the broader autonomy system
• Train, evaluate, and deploy applied ML models for detection, segmentation, tracking, and scene understanding — focusing on production reliability rather than research novelty
• Improve the quality and maintainability of perception codebases by refactoring legacy components, tightening interfaces, and eliminating technical debt
• Collaborate closely with robotics, systems, and platform teams to ensure perception outputs meet system‑level requirements and integrate cleanly across boundaries
• Contribute to team engineering culture through thoughtful code reviews, design discussions, and sharing best practices in C++, ML, and systems debugging
• Drive clarity in ambiguous problem spaces by breaking down perception issues into actionable engineering tasks and proposing pragmatic solutions

VISA Sponsorship is NOT available for this position.

• 3 or more years of professional software engineering experience, including substantial work in modern C++
• Hands‑on experience with applied machine learning for perception — training, evaluating, and deploying models using frameworks such as PyTorch or Tensor Flow
• Ability to work effectively across system boundaries — from onboard compute and middleware to cloud‑based data workflows
• Demonstrated ability to deliver high‑quality, maintainable code and collaborate effectively within a multidisciplinary engineering team
• Strong debugging skills, especially in log‑driven environments where issues span multiple processes, sensors, or system layers
• Experience working with sensor data (camera, LiDAR, radar) and building or maintaining perception data pipelines

• Experience with ROS 2 (nodes, lifecycle, launch, parameters, QoS) and its build ecosystem
• Experience deploying ML models to embedded platforms (Jetson, ARM, x86) and optimizing for latency, memory, or power constraints
• Background in classical computer vision, sensor fusion, or tracking algorithms
• Experience with static analysis and code quality tools (clang‑tidy, ASAN/TSAN/UBSAN)
• Experience with simulation environments, synthetic data generation, or system‑level testing frameworks
• Solid understanding of Linux development, build systems (CMake, Bazel, or colcon), and containerized workflows (Docker)
• Familiarity with concurrency, performance constraints, and real‑time considerations in robotics or embedded systems
• Domain experience in agricultural, mining, construction, or other off‑highway autonomous systems

• Bachelor’s degree in Computer Science, Electrical Engineering, Robotics, or a related technical field
• Master's degree in Computer Science, Electrical Engineering, Robotics, or a related technical field…