Top Tech Jobs & Startup Jobs

Lead a team to build software and metrics for evaluating autonomous driving performance. Develop algorithms, oversee evaluation methodologies, and drive technical direction in collaboration with cross-functional teams.

The Senior Cloud Engineer will manage Kubernetes clusters, implement PaaS features, optimize infrastructure, and enhance operational excellence while mentoring peers.

Lead design, architecture, and deployment of end-to-end ML solutions for onboard autonomous driving. Apply foundation-model alignment, unsupervised pre-training, imitation and reinforcement learning, and scale large-model training pipelines. Collaborate cross-functionally, mentor engineers, conduct research, and productionize foundation models for safe, reliable real-world driving.

Design, implement, and deploy scalable ML training and evaluation platforms. Own end-to-end projects, make architectural decisions, drive prioritization, collaborate cross-functionally, and mentor engineers to accelerate autonomous driving model development.

Lead the Mapping Engineering team as a Staff Software Engineer, focusing on designing scalable distributed backend systems for autonomous vehicle mapping, collaborating with cross-functional teams, and mentoring engineers.

Build and deploy scalable ML training and evaluation platforms, drive technical projects and architectural decisions, collaborate with partner teams, prioritize platform improvements, ensure reliability and performance, and mentor junior engineers.

Lead a team that builds and operates CI/CD, configuration management, and embedded software developer tooling. Define platform strategy, enforce repository and artifact standards, drive reliability and security across GitHub, Artifactory, Azure, and CI systems, partner with stakeholders to improve developer productivity, and grow team capability through hiring and coaching.

Lead technical direction for vehicle dynamics and planning/control software for GM's Super Cruise. Architect systems, define roadmaps, guide validation/simulation and on-road testing, mentor engineers, drive cross-functional integration, root-cause complex issues, and ensure software quality, safety, and performance.

The Staff AI Engineer will build and deploy AI/ML solutions for simulations, working with teams to evaluate and implement AI tools. Responsibilities include leading projects, fine-tuning models, and optimizing performance across various applications in engineering.

The role involves optimizing large-scale ML infrastructure for autonomous vehicles, conducting analyses, collaborating with teams, and improving system performance.