Top Tech Jobs & Startup Jobs

Analyze test results, debug automation issues, improve framework stability, and support continuous improvement of testing processes and automation coverage. The role requires Python and C/C++ programming, source version control, Docker-based containerized development, and Linux command-line experience. Knowledge of ISTQB and experience building reusable automation frameworks are preferred.

Maintain accurate PFEP data and align SAP and Power BI records with project timelines. Track supply chain milestones, identify risks and bottlenecks, coordinate with purchasing, engineering, logistics, quality, and suppliers, and recommend mitigation strategies to ensure timely parts delivery for EV development projects.

Leads sales and aftersales quality control, compliance, audits, investigations, risk management, and corrective actions across automotive dealer and service networks. Establishes governance frameworks, monitors quality and compliance KPIs, manages audit plans, investigates complaints and fraud, drives root cause analysis, and presents recommendations to executives. Oversees budgeting, projects, stakeholder collaboration, continuous improvement, and team development.

Design and develop mechanical components and systems for electric vehicles, including chassis, body structures, suspension, and drivetrain components. Create CAD models, conduct feasibility and engineering analyses, produce technical documentation, prototype and test designs, and collaborate with engineering, manufacturing, quality, suppliers, and vendors. Ensure designs meet performance, safety, manufacturability, quality, cost, and delivery requirements.

Lead end-to-end embedded software development for EV and e-scooter ECUs, from concept through product delivery. Define system requirements, review technical solutions, design ECU architectures and interfaces, optimize integration, and coordinate cross-functional teams to resolve issues and deliver reliable production systems.

Develop and prepare aerodynamic CAD and CAS geometry for CFD analysis, generate meshes, and execute, troubleshoot, and optimize vehicle aerodynamic simulations. Analyze drag, lift, flow structures, pressure distributions, and cooling airflow; interpret results and recommend design improvements. Create reports and visualizations, automate workflows, and collaborate with design, engineering, and program teams to support vehicle development and rapid design iteration.

Owns the roadmap, backlog, acceptance criteria, quality thresholds, delivery cadence, and cross-team contracts for an AI personalization capability powering an in-car virtual assistant. Responsibilities include defining assistant behavior, evaluation and guardrails, privacy requirements, technical and data contracts, release planning, risk management, defect triage, and formal traceability. The role requires strong conversational AI, LLM, speech, personalization, recommendation, or platform-product expertise and the ability to collaborate deeply with architects and ML engineers.

Develop, integrate, maintain, and verify embedded automotive Basic Software modules within AUTOSAR environments. Responsibilities include analyzing requirements, integrating software components, migrating BSW to new ECUs, microcontrollers, or AUTOSAR versions, troubleshooting defects, performing root-cause analysis, and maintaining technical documentation. The role collaborates with cross-functional software teams to ensure reliable communication between BSW and application layers.

Analyze CAN, Ethernet, LIN, sensor, video, and vehicle telemetry logs to evaluate ADAS/ADS performance. Build scalable data-processing pipelines, dashboards, reports, and KPIs; investigate incidents and support root-cause analysis. Provide traceable data and safety evidence for engineering, homologation, and safety-case activities. Required skills include Python-based data analysis, automotive log decoding, visualization, and large-scale data processing.

Manage vehicle dynamics performance across ride, braking, steering, and handling. Define and cascade targets, coordinate simulations and objective and subjective testing, analyze test data, identify root causes, and recommend design improvements. Oversee instrumentation, road and rig testing, virtual and physical validation, testing procedures, technical reporting, and collaboration with engineering, testing, supplier, and performance teams.