Perception Software Engineer

Expertise with perception algorithms as shown with academic and/or professional experience

Proficient at translating perception algorithms into production quality C++ (C++14 or newer) code

Strong debugging skills across distributed and asynchronous pipelines, using logs and metrics to drive root-cause analysis.

Excellent verbal and written communication skills

Glydways provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Implement and own perception algorithms spanning detection, classification, sensor fusion, and multi-object tracking using both ML-based and classical methods

Develop end-to-end perception pipelines from raw sensor input (camera, LiDAR, radar) to structured scene understanding outputs consumed by downstream autonomy modules

Develop and maintain simulation, log-replay, visualization, and offline analysis workflows to maximize test coverage and accelerate validation prior to on-vehicle deployment

Build tooling and infrastructure for dataset management, model training, evaluation, and deployment at scale

The Glydways perception team is responsible for designing and implementing a perception system that includes data fusion from state-of-the-art sensors (e.g., LIDAR, RADAR, High definition cameras, Ultra-wide-band radios, etc.) and robust detection, classification, and tracking of any and all obstacles that could present a hazard to the vehicle (Glydcars) in the system. The perception system for Glydways will reason about information from each Glydcar and from regularly spaced sensor pods monitoring the road network.

The perception team plays a vital role within the Autonomy Software engineering team.  The team’s deliverables include:

Documenting a detailed design for enacting a safe system that can be certified by public transportation authorities.

Implementing said design on mature prototype vehicles in demonstrations to customers, potential customers, and investors.

Expanding the design to include fail-operational capabilities that extend the overall system to safely give our customers a more comfortable experience.

Managing data collection, autonomy testing, and milestone demonstration events that showcase the system’s maturing capabilities, leading to a production system.