Top Tech Jobs & Startup Jobs

Investigate cross-stack vehicle-to-cloud issues at fleet scale by analyzing telemetry (SQL, PySpark, Databricks), debugging embedded Linux and networking, performing on-vehicle diagnostics, gating releases with fleet data, building automated monitoring and dashboards, and driving durable fixes with firmware, platform, cloud, and vendor teams.

Integrate and validate vehicle features across software, hardware, and diagnostics. Perform bench/HIL/vehicle testing, debug networked ECU interactions (CAN/LIN/Ethernet), triage issues, execute integration test plans, and develop Python-based tooling to accelerate log analysis and root cause investigation.

Design, build, and operate scalable, low-latency real-time streaming infrastructure using Kafka/Redpanda and Apache Flink. Develop production streaming applications in Java/Scala/Python/Go, deploy on Kubernetes/Docker, ensure observability and reliability, support AI/ML pipelines, and collaborate across platform, data, and product teams to maintain operational excellence.

Lead ECU-level bring-up, validation, and optimization for infotainment systems. Develop validation features, stress tests, manufacturing EOL software, and multimedia (camera/display) subsystem validation. Collaborate with hardware, test automation, and software teams to debug, document, and improve diagnostics and performance across CPU/GPU/NPU workloads and interfaces.

Lead enterprise GenAI platform architecture and strategy; design and own agentic LLM systems at scale; drive company-wide LLM integration and cognitive automation roadmap; set engineering standards for distributed ML systems; align cross-functional and executive stakeholders; mentor and hire senior engineering talent.

Lead software delivery for new vehicle launches by defining plans for software-impacting hardware changes and features, driving software-hardware integration, prioritizing issue resolution, managing verification test plans, reporting to stakeholders, mitigating systemic risks, implementing process improvements, and mentoring other Technical Program Managers.

Serve as the diagnostic subject-matter expert for one or more vehicle subsystems: define OBD requirements, develop monitoring strategies, integrate and verify diagnostic software with cross-functional teams, support manufacturing and service integration, and drive continuous improvements across current and future platforms.

Integrate and validate vehicle software and hardware across prototype to production phases. Commission and bring-up interconnected systems, triage and root-cause complex multi-ECU issues, prioritize foundational work versus features, analyze component issues for system risk, and collaborate with architecture, platform, and application teams to resolve dependencies and ensure system stability.

Lead cross-company technical program delivering hardware+software vehicle subsystems. Own requirements governance, change-request process, integration, validation, resource and timeline management, and stakeholder alignment across Rivian and Volkswagen. Referee cross-domain trade-offs, drive technical maturity, plan integration/validation and software releases, and report status to leadership.

Develop and operate Digital Twin infrastructure and AI-assisted systems engineering tools. Build multi-fidelity FMU plant models and FMI co-simulations, deploy LLM-based pipelines (RAG, semantic search) integrated with GitLab CI/CD, and perform hands-on systems engineering, requirements authoring, safety analyses, and model correlation with vehicle and fleet data.