Top Tech Jobs & Startup Jobs

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

Lead multiple engineering teams to define technical strategy and deliver cloud-native, data-intensive Home Energy platforms (mobile, web, APIs, event streams, data services). Own architecture, reliability, security, delivery processes, metrics, and cross-functional partnerships while growing and mentoring engineering talent and driving platform innovation and integrations with utilities and external partners.

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.

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 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.

Lead the development of AI/ML systems in robotics and manufacturing, designing ML architectures, and collaborating with cross-functional teams.

Design, build, and maintain secure, scalable SecOps platforms using C++, Rust, and scripting. Implement CI/CD and DevOps practices, integrate systems via APIs/webhooks and AI-driven tools, architect cloud (AWS/Azure/GCP) environments, optimize Linux/kernel configurations, automate infrastructure, and collaborate with SecOps on monitoring, detection, and response to protect enterprise assets.

Technical lead for vehicle dynamics, planning, and controls within Embodied AI. Define technical vision, architect systems, lead design and validation, mentor engineers, and drive safety-critical autonomy software from design through on-road validation.

Senior individual contributor designing and deploying onboard ML solutions for autonomous driving. Develop models (detection, tracking, trajectory, safe AI), build training pipelines and deployment tooling, translate research into production, collaborate cross-functionally, and mentor engineers.

The Buyer will handle sourcing pipeline, contractor negotiations, supplier management, and maintain purchasing integrity in compliance with departmental practices.