Perception Software Engineer - (Remote - US)

Jobgether; United States; Remote; USD 80,000 - 120,000; Full time

Job summary

An innovative talent matching platform is seeking a Perception Software Engineer to develop cutting-edge machine learning and perception systems for autonomous mobility. In this pivotal role, you will collaborate with a multidisciplinary team to design robust multimodal perception models that integrate various sensor data, directly impacting urban mobility solutions. Your expertise in deep learning, computer vision, and real-time inference will be essential as you contribute to the advancement of next-generation transportation technologies. Join a mission-driven team that values collaboration and inclusivity, and take part in shaping the future of mobility.

Benefits

Flexible work setup

Competitive compensation

Collaborative team environment

Impact on next-generation transportation solutions

Inclusive work culture

Qualifications

• 3+ years of experience in machine learning, preferably in autonomous driving.
• Strong understanding of perception systems and real-time inference.

Responsibilities

• Design and implement real-time, onboard, multimodal perception models.
• Lead R&D efforts in multiview sensor fusion and scene understanding.

Skills

Python

C++

Machine Learning

Deep Learning

Computer Vision

CUDA

PyTorch

Sensor Fusion

Education

Bachelor's degree in Computer Science

Bachelor's degree in Electrical Engineering

Tools

Jetson

TensorRT

Job description

Perception Software Engineer - (Remote - US)

Get AI-powered advice on this job and more exclusive features.

About Jobgether
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our partner companies is currently seeking a Perception Software Engineer in United States.

This high-impact role involves developing advanced machine learning and perception systems for real-world autonomous mobility. You will work with a multidisciplinary team to design and implement real-time, multimodal perception models that support next-generation transit solutions. Your work will include fusing camera, radar, and lidar data, and optimizing model inference on embedded systems, directly influencing safety-critical systems and transforming urban mobility.

Accountabilities:

• Design and implement real-time, onboard, multimodal perception models focusing on robustness and efficiency.
• Fine-tune deep learning models for embedded hardware (Jetson), including quantization, pruning, and architecture search.
• Develop custom CUDA kernels and TensorRT plugins for optimized pre/post-processing.
• Lead R&D efforts in multiview sensor fusion and scene understanding, emphasizing anomaly detection.
• Manage and experiment with complex datasets from multi-agent autonomous systems across modalities (camera, lidar, radar).
• Document and present findings internally and externally to contribute to team knowledge and publications.

Requirements:

• Bachelor's degree in Computer Science, Electrical Engineering, or related field.
• 3+ years of experience in machine learning, preferably in autonomous driving or automotive perception systems.
• Proficiency in Python and/or modern C++, with deep familiarity in PyTorch.
• Experience with deep learning architectures, including transformer-based models.
• Strong understanding of perception systems, computer vision, and real-time inference.
• Excellent communication and collaboration skills.
• Preferred: experience optimizing model inference or developing custom CUDA kernels.

Benefits:

• Work on cutting-edge autonomous mobility technology.
• Collaborative, mission-driven team environment.
• Impact on next-generation transportation solutions.
• Inclusive and supportive work culture.
• Flexible work setup.
• Competitive compensation based on experience and qualifications.

Hiring Process Disclaimer:

This job is posted on behalf of a partner company. Applications undergo an AI-powered 3-step screening to select the top 5 candidates, analyzing CV and LinkedIn profiles. The process is fair and unbiased, based solely on qualifications. Top candidates will be notified within 7 days. If not selected, your profile may be considered for other opportunities.

Additional Information:

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Information Technology