Top Tech Jobs & Startup Jobs

Develop and maintain embedded software for SDV solutions, focusing on high-performance platforms, safety-critical software, and RTOS integration with hardware.

Lead the design, implementation, and deployment of scalable ML infrastructure for autonomous driving. Drive technical projects, mentor others, and collaborate with teams to enhance ML workflows.

As a Senior Security Software Engineer, you'll design and deliver secure integration services, mentor developers, and enhance cybersecurity through automated, AI-driven workflows.

As a Principal Software Engineer, you will oversee Body Controls software compliance, guide design implementation, mentor engineers, and define compliance strategies.

Lead the configuration and solution design of SAP systems, ensuring compliance and minimal customization while mentoring junior analysts and driving transformation initiatives.

Lead design, training, and evaluation of multi-modal ML perception models (camera, lidar, radar) for fallback autonomy. Define metrics, curate datasets, implement training and optimized inference pipelines for on‑vehicle constraints, and integrate models into production. Partner with safety, systems, and product teams for validation, verification, and deployment. Mentor engineers and promote ML and software engineering best practices.

Deliver instructor-led and virtual training on NX CAD/CAE and PLM systems; develop and maintain courseware, videos, and exercises; serve as SME for NX, Teamcenter, Active Workspace and related CAE tools; collaborate with application owners to align training to releases and validate new functionality.

Develop and maintain high-performance automotive infotainment UI applications in modern C++. Design scalable UI architecture, debug rendering and performance issues, integrate vehicle signals, support feature bring-up across QNX/Linux/Android, optimize memory and startup, and collaborate with cross-functional teams through code reviews and CI/CD workflows.

The Senior Manager of Embodied AI will oversee AI/ML engineering teams, manage operational excellence in data scaling for autonomous vehicles, and collaborate across teams to improve performance and innovation in AV technology.

Design, prototype, and productionize applied AI/ML solutions for simulation and engineering workflows. Build high-performance inference pipelines, fine-tune and optimize multimodal and 3D models, integrate models into simulation or perception stacks, and lead projects end-to-end while collaborating with simulation, data, and engineering teams.