Senior Software Engineer, Perception Architecture
Stack AV
Salary undisclosed
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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 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.
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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.
About this role
Stack AV is building autonomous trucking systems, and this role sits at the intersection of research and production—you'd be architecting the perception foundations that let self-driving trucks reliably handle real-world complexity. The Perception Architecture team owns cross-cutting ML problems that often lack established solutions in academic literature, so you'd be designing novel approaches to long-tail scenarios, long-range detection, and sensor fusion challenges while collaborating closely with detection, tracking, and scene understanding teams to keep the broader autonomy system aligned.
You'll balance hands-on technical work with strategic influence: prototyping key architectural decisions, building and improving the model frameworks and data pipelines that unblock other teams, and driving consensus on technical direction across the organization. This is a full-time remote position based in Pittsburgh, suited for someone with a degree in computer vision, robotics, or machine learning (plus 4+ years of industry experience, or 2+ with a master's, or 1+ with a PhD) who has shipped real perception systems—detection, segmentation, or tracking—in robotics or real-time applications. You'll need strong fundamentals in deep learning, Python fluency, hands-on C++ experience, and ideally a background in sensor fusion. The role rewards people who can move fluidly from experimental work to production implementation and who thrive in cross-functional technical leadership.
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