Real-Time Perception & Tracking Engineer for Robotics

Socket.dev; Austin (TX); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Competitive salary

Health, Dental, Vision Insurance

Paid Time Off

Job summary

Allen Control Systems in Austin, TX, seeks a Perception & Tracking Engineer to design and implement real-time 3D computer vision, multi‑object tracking, and sensor fusion for autonomous platforms with a focus on low latency and production‑grade software.

You will collaborate with robotics and software engineers to optimize tracking pipelines for embedded hardware and GPUs, and advance both classical and deep learning approaches such as Kalman filters, ByteTrack, and DeepSORT in dynamic

Qualifications

• Experience with perception algorithms, robotics, or ML for real-time 3D tracking.
• Strong background in computer vision and tracking pipelines.
• Proficiency in Python and C++ with production-grade software practices.

Responsibilities

• Design, implement, test, and maintain 3D CV-based multi-object tracking algorithms.
• Develop real-time detection and tracking for autonomous platforms.
• Optimize pipelines for low latency on embedded hardware/GPUs.

Skills

Python

C++

3D Computer Vision

Object Tracking

Kalman Filtering

CUDA

Deep Learning

Education

Bachelor's or Master's in CS/Engineering/Applied Math

Tools

YOLO/SSD/R-CNN

ByteTrack/DeepSORT

Kalman Filters

Embedded GPU

Job description

Allen Control Systems in Austin, TX, seeks a Perception & Tracking Engineer to design and implement real-time 3D computer vision, multi‑object tracking, and sensor fusion for autonomous platforms with a focus on low latency and production‑grade software.

You will collaborate with robotics and software engineers to optimize tracking pipelines for embedded hardware and GPUs, and advance both classical and deep learning approaches such as Kalman filters, ByteTrack, and DeepSORT in dynamic