Perception Software Engineer - (Remote - US) - job 2 of 2

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 companies is currently looking for a Perception Software Engineer in United States.

This is a high-impact role focused on developing advanced machine learning and perception systems for real-world autonomous mobility. You will work within a multidisciplinary team to design and implement efficient, real-time, multimodal perception models that power a next-generation transit solution. From fusing camera, radar, and lidar data to optimizing model inference on embedded systems, your contributions will directly influence safety-critical systems and help transform how people move through urban environments.

Accountabilities:

• Design and implement real-time, onboard, multimodal perception models with a focus on robustness and efficiency
• Fine-tune deep learning models to maximize performance on embedded hardware (Jetson), including applying 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 with emphasis on anomaly detection
• Manage and experiment with complex datasets across modalities (camera, lidar, radar) from multi-agent autonomous systems
• Document and present findings internally and externally, contributing to team knowledge and potential publications

• Bachelor’s degree in Computer Science, Electrical Engineering, or a related field
• 3+ years of experience in machine learning, ideally in autonomous driving or automotive perception systems
• Proficiency in Python and/or modern C++, with deep familiarity in PyTorch
• Experience working 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

• Opportunity to work on cutting-edge technology in autonomous mobility
• Collaborative and mission-driven team environment
• Real-world impact on next-generation transportation solutions
• Inclusive and supportive work culture
• Flexible work setup
• Competitive compensation based on experience and qualifications

Jobgether Hiring Process Disclaimer

This job is posted on behalf of one of our partner companies. If you choose to apply, your application will go through our AI-powered 3-step screening process, where we automatically select the 5 best candidates.

Our AI thoroughly analyzes every line of your CV and LinkedIn profile to assess your fit for the role, evaluating each experience in detail. When needed, our team may also conduct a manual review to ensure only the most relevant candidates are considered.

Our process is fair, unbiased, and based solely on qualifications and relevance to the job. Only the best-matching candidates will be selected for the next round.

If you are among the top 5 candidates, you will be notified within 7 days.
If you do not receive feedback after 7 days, it means you were not selected. However, if you wish, we may consider your profile for other similar opportunities that better match your experience.

Thank you for your interest!

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