Senior Software Engineer

Stack AV Co; New Stanton (Westmoreland County); Remote; USD 148,000 - 232,000; Full time

Job summary

Stack AV Co is building state-of-the-art mapping and perception software for Level 4 autonomous vehicles. You will design and implement machine learning and deep learning algorithms, contribute to the team’s technical direction, and write robust real-time software for safety-critical use.

Telecommuting is allowed from anywhere in the US, with up to 25% travel. You will work on cross-functional features from problem statement to delivery, and help push the boundaries of perception systems using

Qualifications

• Master's degree or a Bachelor's with 4+ years' experience in CS or related field.
• Employer accepts any suitable combination of education, training, or experience.

Responsibilities

• Deliver mapping algorithms and systems for L4 self-driving vehicles.
• Design, develop and implement ML and DL algorithms.
• Contribute to technical direction of the perception team.
• Write robust software for real-time, safety-critical applications.
• Collaborate on cross-functional features from problem to delivery.
• Identify limitations and drive improvements to the mapping system.
• Telecommuting permissible from any location within US; up to 25% travel.

Skills

Deep learning

Perception models

C++ programming

PyTorch

Python

Model deployment

Education

Master's degree in Computer Science or related field

Bachelor's degree in Computer Science or related field with 4+ years' experience

Tools

TensorRT

CUDA

Lidar data processing

Job description

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.

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.

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

• 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

We are proud to be an equal opportunity workplace. We believe that diverse teams produce the best ideas and outcomes. We are committed to building a culture of inclusion, entrepreneurship, and innovation across gender, race, age, sexual orientation, religion, disability, and identity.

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.