Robotics Engineer - Perception

Job Overview

Responsibilities

Basic Qualifications

Preferred Skills & Experience

Additional Requirements

Compensation & Benefits

The role combines high-level architecture decisions with hands-on algorithm development, hardware integration, and field testing. You will work across the perception stack, from integrating and calibrating advanced sensors to building real-time processing pipelines for images, point clouds, and other high-bandwidth data streams.

Your work will power critical functions such as collision avoidance, motion planning, localization, and operator visualization.

• Work with motion and trajectory planning teams to design and synthesize sensor systems to extract required signals and inputs
• Implement algorithms to efficiently detect objects of interest from incoming data streams for the purposes of collision avoidance, motion planning, and trajectory planning
• Sew together and manipulate camera feeds and data from other sensors to effectively visualize the state of physical systems to human operators
• Develop real-time pipelines for processing, sharing, and fusing data from multiple sensor sources
• Train Machine Learning (ML) models on existing and custom datasets and support collection and labeling of data for additional training and validation
• Develop simulation and visualization tools to aid in rapid prototyping of robotic software and control algorithms
• Own the integration, calibration, and testing of sensors, both for proof-of-concept prototypes and production systems
• Lead interdisciplinary teams, mentor new employees, and actively participate in the hiring process

Bachelor's degree in Robotics, Mechanical Engineering, Physics, Computer Science, Electrical Engineering, or a closely related field

2+ years of professional or project experience with robotic software development, involving implementation of real-time algorithms for perception and data processing pipelines

Demonstrated experience owning large-scale deliverables, leading teams, and driving product roadmaps

Experience working with safety-critical or real-time systems

Experience working with embedded applications for robotics, autonomous vehicles, aerospace, automotive, or construction

Proficiency in C++ and Python, including development for Linux-based systems and bare-metal MCUs

Experience training, testing, optimizing, and deploying online and offline machine learning models with existing and custom datasets

Experience implementing algorithms or pipelines for robotic systems or feedback control from scratch in C++ or Python

Experience performing object detection on multiple data sources including multi-spectral images and point clouds

Experience programming FPGAs for high-throughput networking, compression, or DSP

Willingness to work extended hours or weekends when needed to support critical deadlines or triage urgent deployment issues

Willingness to relocate to Austin, TX if not within commuting distance