Top Tech Jobs & Startup Jobs

Lead propulsion-focused virtual development using simulation and analysis to optimize energy consumption and performance across ICE, hybrid, and electric architectures. Build and run models, perform trade studies, deliver results to product teams, and develop automation/tools to support system-level propulsion design decisions.

Lead technical execution of software component integration for mechatronic systems: build and test cohesive releases, resolve compatibility issues, create automation/scripts, document processes, collaborate with development and QA, provide technical leadership, and report build progress to stakeholders to support GM's software-defined vehicle initiatives.

Design, build, and operate scalable real-time and batch data pipelines ingesting high-frequency telemetry, simulation, and trackside data. Own Kafka/Flink streaming components, Databricks lakehouse implementations, and infrastructure-as-code deployments. Develop software in Python/Java/SQL, integrate systems, automate testing and releases, performance-tune pipelines, and mentor peers to ensure resilient, secure, high-performance data delivery for motorsports teams.

Lead advanced cyber investigations and detection engineering across endpoint, network, cloud, identity, application, and manufacturing environments. Develop and tune detections in SIEM/EDR/NDR/SOAR, conduct threat hunting, apply MITRE ATT&CK, automate workflows with scripting/AI, mentor analysts, and collaborate across security teams to improve detection fidelity and response.

The Senior Embedded Controls Software Engineer will lead the development of embedded control software, collaborate with engineering teams, and maintain high quality solutions for suspension systems.

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.

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

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.

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 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.