Stack AV
Senior Software Engineer
$148K–$232K
New Stanton, PA · Senior · Full-time · Posted Oct 19, 2026
- Experience
- 2 years in the job offered or a related position with a master’s degree; alternatively, 4 years with a bachelor’s degree. Employer accepts any suitable combination of education, training, or experience.
- Education
- Master’s degree in Computer Science or related field; alternatively, a bachelor’s degree in Computer Science or related field, or a suitable combination of education, training, or experience.
- Visa sponsorship
- The position may be contingent on verification of residence, U.S. person status, and/or citizenship status. Export-control rules may require a U.S. government license, and national security or licensing restrictions may affect eligibility.
About the job
Develop online and offline mapping systems and machine-learning algorithms for L4 self-driving trucks, including real-time, safety-critical software and improvements to perception systems.
What you'll do
- Design, develop, and implement machine-learning and deep-learning algorithms for mapping and perception.
- Build robust software for real-time, resource-constrained, safety-critical applications and deliver cross-functional features.
- Identify limitations in the online mapping system and drive improvements; contribute to the team’s technical direction.
What they ask for
- Experience or education in architecting, training, and deploying deep-learning models for real-world use cases.
- Experience with perception models, including object detection and semantic segmentation using camera and lidar data for autonomous driving or real-time robotics.
- Experience optimizing models for onboard deployment and training and deploying ML/DL models using PyTorch and python.
- Track record of taking applied research projects from conception through experimentation and publication or productization, and applying software engineering and ML design to real products.
Pay
USD $148,450 to $232,200/year (base salary)
Tools
convolutional neural networks, transformer-based model, camera, lidar, quantization, TensorRT, C++, PyTorch
AI focus
Develop, train, deploy, and optimize machine-learning and deep-learning models for autonomous-vehicle mapping and perception, including object detection and semantic segmentation.
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