Jobs at Stack AV

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.

Lead and scale Data Operations across mapping, labeling, triage, and future operational teams supporting autonomous driving system development. Manage internal teams and global vendors, define data standards and workflows, oversee contracts and budgets, improve quality and throughput, and partner with engineering and product teams to develop automation and tooling. Use analytics and organizational metrics to drive continuous operational improvement.

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.