Senior Software Engineer (Perception)

TL;DR

Senior Software Engineer (Perception) (AI/ML): Develop and optimize deep learning and machine learning perception solutions for long-range multi-sensor detection and degraded sensor scenarios, and deploy them onto a real-time autonomous vehicle platform with an accent on end-to-end autonomy (detection, tracking, action recognition, semantic understanding) and scaling ML engineering pipelines. Focus on diagnosing failure modes from on-road and simulated testing and guiding software from prototype to production for robust, well-tested systems.

Company

hirify.global builds self-driving technology for safer, faster, and more accessible mobility and logistics.

What you will do

• Research and develop state-of-the-art deep learning and ML models for perception under challenging scenarios (e.g., long-range multi-sensor detection, degraded sensors).
• Work on end-to-end autonomy perception tasks including object detection, traffic actor tracking, action recognition, and semantic understanding.
• Guide software development from prototype to production deployment on a real-time AV platform using large-scale datasets for training and analysis.
• Collaborate to diagnose, analyze, and resolve failure modes found during on-road and simulated testing.
• Build and scale robust ML pipelines to enable quick experimentation and large-scale training and testing.

Requirements

• BS, MS, or PhD in Computer Science, Robotics, Engineering, or a related field with strong ML foundations (deep learning, computer vision, recursive state estimation, structured prediction, optimization).
• 6+ years of research-based or professional experience with C++ and Python.
• Strong understanding of linear algebra, discrete/continuous optimization, supervised/unsupervised methods, and generative/discriminative models.
• Strong publication record in top-tier robotics/computer vision conferences/journals, or significant industry experience in robotics/computer vision/self-driving.

Nice to have

• Experience with deep learning frameworks such as PyTorch or TensorFlow.
• Advanced production-level knowledge of C++.
• Experience applying computer vision and ML directly to complex robotics problems and deploying at scale across physical fleets.
• Experience with 3D data (3D object detection, tracking, semantic segmentation, or point cloud processing from LiDAR/Radar/multi-camera).

Culture & Benefits

• Hybrid work environment with in-office presence at least 3 days per week.
• Annual bonus, equity compensation, and benefits in addition to base salary.
• Safety-first culture with expectations to actively contribute to safety policies.
• Commitment to inclusion and providing reasonable accommodations during the application process.

Hiring process

• Interview process includes evaluation of technical fit for perception/ML and collaboration across cross-functional engineering teams.