About the role
About Stack
Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. Stack's autonomous technology incorporates cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies, empowering us to create innovative solutions that address the needs and challenges of the dynamic trucking transportation industry. With decades of experience creating and deploying real world systems for demanding environments, the Stack team is dedicated to developing an autonomous solution ecosystem tailored to the trucking industry's unique demands.
If you are an Internal Candidate, please apply via our Internal Job Board.
Job Description: Work in the team to deliver state-of-the-art online and offline mapping algorithms and systems for L4 self-driving vehicles. Design, Develop and implement machine learning and deep learning algorithms. Contribute to the technical direction of the team and broader perception org. Write robust software for real-time, resource-constrained, safety-critical applications. Contribute to highly cross-functional features and work streams from problem statement to delivery. Proactively identify limitations with the existing online mapping system and drive improvements. Telecommuting permissible from any location within US. Domestic travel may be required up to 25%.
Requirements: Master’s degree in Computer Science or related field and two (2) years of experience in the job offered or related position. Alternatively, the company will accept a Bachelor’s degree in Computer Science or related field followed by four (4) years of experience in the job offered or related position. Employer will accept any suitable combination of education, training, or experience.
Skills: Experience and/or education must include:
- Architecting, training, and deploying deep learning models (such as convolutional neural networks or transformer-based model) for real-world use cases.
- Training perception models such as object detection and semantic segmentation models using camera and lidar data for autonomous driving and/or real-time robotic applications.
- Optimizing machine learning or deep learning models for onboard deployment using techniques such as quantization, TensorRT, C++ programming, or similar methods.
- Experience training and deploying machine learning and deep learning models using PyTorch and python.
- Tracking record of driving applied research projects from start to completion, including conception, problem definition, experimentation, iteration, and finally publication or productization.
- Experience in applying software engineering and machine learning algorithm design to develop real world products.
Salary: $148,450 to $232,200/year; 40 hours/week
Location: 1001 Technology Drive, Mount Pleasant, PA 15666. Must live within reasonable commuting distance of HQ and appear in office as required.
Contact: Please reference Job ID: 9975039
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Please Note: Pursuant to its business activities and use of technology, Stack AV complies with all applicable U.S. national security laws, regulations, and administrative requirements, which can restrict Stack AV’s ability to employ certain persons in certain positions pursuant to a range of national security-related requirements. As such, this position may be contingent upon Stack AV verifying a candidate’s residence, U.S. person status, and/or citizenship status. This position may also involve working with software and technologies subject to U.S. export control regulations. Under these regulations, it may be necessary for Stack AV to obtain a U.S. government export license prior to releasing its technologies to certain persons. If Stack AV determines that a candidate’s residence, U.S. person status, and/or citizenship status will require a license, prohibit the candidate from working in this position, or otherwise be subject to national security-related restrictions, Stack AV expressly reserves the right to either consider the candidate for a different position that is not subject to such restrictions, on whatever terms and conditions Stack AV shall establish in its sole discretion, or, in the alternative, decline to move forward with the candidate’s application.