Jobs at Stack AV

Develop and deploy motion planning software for autonomous trucks. Own features end-to-end, from design and integration through testing and validation, while solving complex vehicle-behavior challenges. Build high-performance modern C++ and Python for resource-constrained platforms, collaborate across autonomy and systems teams, shape architecture and roadmaps, and use simulation and unit testing to ensure safe, reliable trajectories.

Owns the design, implementation, integration, and deployment of trajectory generation and controls features for autonomous trucks. The role develops real-time, safety-critical software in C++ and Python, using motion planning, optimization, vehicle dynamics, model predictive control, simulation, and extensive testing. Responsibilities include roadmap input, cross-functional collaboration with autonomy and systems engineering teams, stakeholder alignment, and delivering safe, comfortable vehicle behavior.

Develop online and offline mapping algorithms for L4 autonomous vehicles. Design, train, optimize, and deploy machine learning and deep learning models using camera and LiDAR data, PyTorch, Python, C++, and TensorRT. Build robust real-time software for safety-critical, resource-constrained systems, lead applied research from concept through productization, and contribute to technical direction and cross-functional delivery.

Design and develop a high-performance, multi-tenant ML training platform for autonomous vehicle systems. Responsibilities include building orchestration, control plane, observability, data and model pipelines, performance optimization, profiling tools, and scalable infrastructure. The role provides technical direction, collaborates across ML, infrastructure, autonomy, and safety teams, and promotes engineering excellence and reusable tooling for machine learning engineers.

Design, implement, test, and deploy high-performance infrastructure for autonomous vehicle software, including logging frameworks, robotics middleware, operating-system components, software deployment systems, and sensor interfaces. Improve system performance, reliability, usability, and safety in resource-constrained environments. Collaborate with autonomy, cloud, and safety teams while applying robust testing, code review, concurrency, and systems programming practices.

Build scalable full-stack software for AV data introspection, visualization, search, and analysis. Partner with Product, Design, and Engineering stakeholders to define and deliver a roadmap, address customer workflow gaps, lead technical discussions, and promote engineering solutions. The role requires developing reliable applications for diverse data types, working with SQL and NoSQL architectures, and integrating AI techniques into front-end experiences.

Develop and deploy perception, generative AI, and online mapping algorithms for L4 autonomous trucks. Responsibilities include building robust real-time software for safety-critical systems, integrating maps and vehicle sensors, improving mapping performance, leading features from concept through delivery, and coordinating stakeholders. The role requires deep learning model development and deployment, applied research, machine learning algorithm design, Python, and C++, with sensor fusion or online mapping experience preferred.

Lead the architecture, development, validation, and maintenance of safety-critical embedded firmware for autonomous trucking systems. Design real-time software interfacing with sensors, actuators, compute platforms, and vehicle hardware. Provide technical leadership, mentoring, code reviews, task coordination, safety compliance, fault handling, and support for vehicle testing and field deployments. Develop HAL and BSP components, diagnose embedded issues, and help take products through production and customer-supported operation.