Application for General Engineering – Future Opportunities
Role Overview
We are growing rapidly and constantly seeking world-class technical talent to join us in building safety-critical autonomous technology. Even if you don't see an open position that perfectly matches your current role or specialization, we encourage you to submit your profile.
By applying to this general pool, your background will be reviewed directly by our engineering talent team and hiring managers for upcoming, newly opened, or unlisted opportunities across our organization. Core Engineering Focus Areas at Stack:
We welcome engineers with expertise in one or more of the following domains:
AI Data Infrastructure & Cloud Platforms : Ingestion, curation, streaming, and visualization platforms for massive AV data pipelines and ML model training.
Autonomy & Perception / Generative AI : Computer vision, LiDAR/camera sensor fusion, online mapping, motion planning, prediction, and deep learning models (transformers, diffusion, flow models).
Onboard Systems Infrastructure & Embedded Software : High-performance C++ systems programming, robotics middleware, real-time operating systems (POSIX/Linux), lock-free data structures, and low-latency logging.
Simulation & Hardware-in-the-Loop (HIL) : High-fidelity virtual test environments, physics-based simulator development, and automated test execution platforms.
System Safety & Systems Engineering : Functional safety, hazard analysis, hardware-software integration, and vehicle systems validation.
Key Skills for This Role
Full Job Posting
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.
Interested in building autonomous systems at Stack but don't see an exact match listed? We are always looking for exceptional technical talent across our Engineering Division.
About the Role
We are growing rapidly and constantly seeking world-class technical talent to join us in building safety-critical autonomous technology. Even if you don't see an open position that perfectly matches your current role or specialization, we encourage you to submit your profile.
By applying to this general pool, your background will be reviewed directly by our engineering talent team and hiring managers for upcoming, newly opened, or unlisted opportunities across our organization. Core Engineering Focus Areas at Stack:
We welcome engineers with expertise in one or more of the following domains:
AI Data Infrastructure & Cloud Platforms : Ingestion, curation, streaming, and visualization platforms for massive AV data pipelines and ML model training.
Autonomy & Perception / Generative AI : Computer vision, LiDAR/camera sensor fusion, online mapping, motion planning, prediction, and deep learning models (transformers, diffusion, flow models).
Onboard Systems Infrastructure & Embedded Software : High-performance C++ systems programming, robotics middleware, real-time operating systems (POSIX/Linux), lock-free data structures, and low-latency logging.
Simulation & Hardware-in-the-Loop (HIL) : High-fidelity virtual test environments, physics-based simulator development, and automated test execution platforms.
System Safety & Systems Engineering : Functional safety, hazard analysis, hardware-software integration, and vehicle systems validation.
What We Look For
- B.S., M.S., or Ph.D. in Computer Science, Robotics, Electrical/Computer Engineering, or a related technical field.
- Strong proficiency in C++ and/or Python .
- Experience designing, building, or deploying complex software systems in robotics, autonomous driving, aerospace, or other safety-critical / resource-constrained environments.
- A passion for tackling complex real-world challenges in AI, machine learning, and autonomous vehicle technology.
- Strong collaborative problem-solving and communication skills.
- 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.
- Check out our Privacy Policy.
- 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 Stack AV
Stack AV is a privately held autonomous trucking technology company developing AI systems for safer, more efficient freight transportation.
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