Senior Software Engineer, Perception Architecture

Stack AV; Pittsburgh (Allegheny County); Hybrid; USD 100,000 - 130,000; Full time

Job summary

Stack AV is seeking a Senior Software Engineer specializing in Perception Architecture. This role involves developing foundational machine learning architecture and addressing complex perception challenges in the self-driving trucking industry.

The successful candidate will collaborate with various teams to solve innovative problems while enhancing perception capabilities. We value diverse teams and are committed to equality and inclusion in the workplace.

Qualifications

• Extensive experience architecting, training, and evaluating deep learning models.
• Strong experience in software engineering and machine learning algorithm design.
• Fluency in Python and hands-on experience with C++.

Responsibilities

• Contribute to the technical direction of the Perception Architecture team.
• Design and develop core machine learning components for the perception system.
• Lead technical topics and build consensus across sister teams.

Skills

Machine Learning

Deep Learning

Python

C++

Software Engineering

Robotics

Computer Vision

Sensor Fusion

Education

BS in perception-related field with 4+ years of experience

MS in perception-related field with 2+ years of experience

PhD in perception-related field with 1+ year of experience

Job description

Senior Software Engineer, Perception Architecture

Pittsburgh, PA or Remote

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 the Role: The Perception Architecture team is responsible for tackling complex, cross‑cutting issues in Stack AV’s approach to perception development and accelerating our delivery of perception capabilities. Many problems in the self‑driving trucking industry are not well represented in the literature, requiring novel approaches or formulations to tackle challenging perception problems for the product.

As a Senior Software Engineer, you will develop foundational ML architecture and systematic approaches to challenging, cross‑cutting perception problems to ensure the self‑driving system scales robustly and efficiently. This role will work closely with other teams to identify pain points and forward‑looking challenges, develop novel experiments to define future direction, and collaborate with other AI teams to convert these discoveries into products.

Responsibilities

• Contribute to the technical direction of the Perception Architecture team and the broader perception organization.
• Design and develop core machine learning components and architectures that enable the perception system to scale and reliably address complex, long‑tail driving scenarios.
• Drive the initial implementation and prototyping of key architectural decisions, such as handling long tail challenges or long range detection.
• Contribute to the improvement of model frameworks, architecture, and data pipelines to eliminate development bottlenecks and accelerate model iteration.
• Lead challenging technical topics and build consensus across sister teams (e.g., Actor Detection, Scene Understanding, Tracking) and stakeholders to ensure autonomy‑wide alignment.

Qualifications

• BS (with 4+ years of experience), MS (with 2+ years of experience), or PhD (with 1+ years of experience) in a perception‑related field, such as robotics, computer vision, or machine learning.
• Extensive experience architecting, training, and evaluating deep learning models for challenging problem spaces.
• Track record of driving applied research or engineering projects from conception and experimentation to successful productization.
• Strong experience in software engineering, machine learning algorithm design, and building data/metrics pipelines for ML development.
• Fluency in Python and hands‑on experience with C++.
• Experience delivering detection, segmentation, tracking, or other perception solutions for real‑time robotic applications, with prior experience in sensor fusion being highly desirable.

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.