General Engineering

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.

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.