Top Tech Jobs & Startup Jobs

Lead strategic sourcing and supplier partnerships for vehicle direct materials and operations infrastructure. Drive RFQs, negotiations, contract management, supplier performance, cost reduction initiatives, total cost of ownership models, and cross-functional stakeholder alignment to support vehicle development and autonomous ride-hailing operations.

Develop and optimize 3D graphics algorithms for sensor simulation, leveraging GenAI/ML techniques. Collaborate with various teams to enhance simulation realism and generate high fidelity data.

As a Systems Engineer, lead powertrain safety design, develop safety concepts, analyze hazards, and ensure compliance with safety standards.

Develop and improve algorithms for autonomous driving behavior in new geofences, collaborate with teams, and support vehicle testing and validation.

The role involves developing automotive body assembly processes, leading factory layouts, collaborating with engineering teams, and maintaining process documentation.

The Strategic Sourcing Manager is responsible for direct procurement and partnerships, leading cost reduction efforts, supplier evaluations, negotiating contracts, and managing third-party relationships.

As a Senior Software Engineer - C++ GPU Performance, you will optimize GPU algorithms, monitor performance metrics, and influence design decisions for self-driving technology.

Lead design and architecture of SAP Convergent Mediation frameworks; configure mediation pipelines, transformations, enrichment, and routing; design data flows with upstream sources, CC, and downstream BRIM; optimize performance and fault tolerance; implement monitoring, alerting, and reconciliation; provide technical leadership and collaborate with finance, product, engineering, and vendors.

The role involves leading signal integrity and EMC strategies for autonomous vehicles, ensuring electrical reliability and compliance through simulations, testing, and collaboration across teams.

Lead and grow a team building large-scale reinforcement learning and ML behavior models for autonomous driving. Set technical strategy, coordinate with partner teams, oversee training and efficient inference, monitor KPIs, and manage team resources.