Jobs at 42dot

Serve as the technical bridge between 42dot and 3rd-party app developers: own SDK onboarding, API integration, validation failure troubleshooting, root-cause analysis, and market launch. Enforce safety, security, and compliance (Driver Distraction/HMI, vehicle-safety rules), act as the technical SPOC across internal teams and HMG, and provide hands-on in-vehicle validation and launch support to ensure platform quality and developer success.

The Technical Project Manager will oversee complex software project delivery, coordinate teams, manage dependencies, and ensure high-quality outcomes in an Agile environment.

The AI Infrastructure Engineer manages AI infrastructure, including GPU clusters, automation tools, and collaborates with teams for optimal resource utilization and system troubleshooting.

The Senior AI Data Pipeline Engineer will design and operate scalable data pipelines for AI workloads, ensuring global data availability and optimizing processing workloads using advanced technologies.

Lead development of next-generation digital cockpit by creating high-fidelity 3D environments for in-vehicle infotainment. Responsibilities include 3D engine mastery, architecture design, performance optimization, and tooling pipeline development.

Design, develop, and maintain applications for In-Vehicle Infotainment systems. Collaborate with cross-functional teams and provide technical support to others.

As an Android Engineer at 42dot, you'll develop responsive in-vehicle user interfaces for Android Automotive OS, focusing on UI customization, performance optimization, and collaboration with design teams.

As an OS Tool Software Engineer, you'll design and implement tools for SDV OS, focusing on distributed messaging systems, working in Linux environments, and enhancing developer and production tools.

Design and implement AI-driven vehicle intelligence features using telemetry, user behavior, navigation, and fleet data. Apply reinforcement learning, forecasting, planning, personalization, and simulation to optimize energy, comfort, charging, and routing. Validate in simulation and integrate models into vehicle and cloud platforms focusing on latency, efficiency, safety, explainability, and OTA readiness while collaborating with autonomous driving, product, UX, and systems teams.

Design and develop ML/AI vehicle intelligence features using telemetry, navigation, user behavior, and fleet data. Build predictive, optimization, personalization, and RL-based models; validate via simulation and digital twins; integrate models into vehicle and cloud platforms with attention to latency, compute efficiency, safety, and OTA readiness. Collaborate cross-functionally with product, UX, systems, controls, and autonomous driving teams.

Lead external certification for an automotive firmware platform: liaise with auditors, translate system safety goals into firmware requirements, define verification strategy (unit, automated, HIL), ensure ISO 26262/ASPICE compliance, produce safety documentation, and align internal safety gates for certified releases.

Develop, optimize, and maintain Linux-based in-vehicle applications for infotainment and autonomous systems. Integrate with hardware/firmware, debug kernel and user-space issues, improve performance and boot times, contribute to system architecture, and collaborate with QA for test strategies and high code quality.

The Senior Control Systems Engineer designs, implements, and optimizes control algorithms for autonomous driving, collaborating with teams to enhance vehicle performance and safety.

Lead development of machine learning models for autonomous driving, focusing on deep learning and optimization techniques for real-world application. Collaborate with teams and mentor junior engineers.

The Embedded Firmware Engineer will design and implement firmware for software-defined vehicles, ensuring safety, performance, and integration with hardware, while leading the entire product lifecycle.

The OS Tools Software Engineer will design and implement tools for Vehicle OS, focusing on messaging systems and developer environments, contributing to autonomous driving technology.

The Sr. Staff DevOps Engineer owns infrastructure for the V&V engine, architects CI/CD pipelines, manages build systems, and integrates global systems for high-velocity firmware delivery.

The ML Performance Optimization Engineer optimizes AI models for autonomous driving within vehicle environments, focusing on GPU/NPU-based performance improvements, system profiling, and collaboration with software teams for deployment and performance analysis automation.

The Frontend Developer designs and develops web applications for autonomous driving data visualization. Responsibilities include optimizing UI/UX, collaborating across teams, integrating open-source tools, and maintaining code quality.

Design and develop web-based visualization platforms for autonomous driving datasets, focusing on rendering and analyzing multi-modal data with full-stack applications.