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Program Manager owning the full lifecycle of automotive electronics/software programs at Aptiv in Unterschleissheim—from quote through production launch—driving project plans, risk management, budgets, and customer relationships while leading a team of Project Managers.
The Optical Designer will develop and optimize holographic and micro-optical systems for automotive and consumer applications using simulation tools like Zemax or LightTools. The role involves collaborating with interdisciplinary teams to take designs from the concept phase through to industrial production.
The Senior Product Manager will lead the strategy and execution for vehicle delivery and ownership experiences at Slate, managing complex partner integrations and cross-functional teams. This role focuses on building scalable, AI-powered product solutions to ensure a seamless customer experience for both fleet and retail users.
Leads cross-functional engineering teams to develop new automotive technologies, coordinating schedules, requirements, and vendor communications while balancing Agile and Waterfall methodologies.
The Robotic Driver Tester operates autonomous vehicles to conduct safety testing, manage in-vehicle software systems, and document performance data for engineering teams. This role requires a clean driving record, strong typing skills, and the ability to perform basic vehicle inspections.
The Driver Tester operates autonomous vehicles in real-world conditions to support testing, safety, and vehicle readiness. The role involves daily driving, basic hardware and software troubleshooting, and reporting feedback to engineering teams.
Senior IT Project Manager maintaining and governing the IT strategic roadmap for the Gateway Program rail infrastructure project—translating strategic objectives into executed initiatives across applications, infrastructure, data, and security with enterprise architecture alignment.
NVIDIA is seeking interns for a 12-week digital circuit design program focused on hardware development for accelerated computing. Interns will work on projects involving circuit design, simulation, and optimization using tools like Verilog, Python, and industry-standard EDA software.
NVIDIA is seeking Ph.D. students for research internships focused on generative AI, including multimodal models, diffusion models, and large language models. Interns will design algorithms, collaborate with research teams, and contribute to prototypes or publications while working with advanced AI technologies.
NVIDIA is seeking interns for a 12-week hardware verification program to work on projects involving GPU and processor architecture, functional testing, and digital design. Interns will utilize tools like SystemVerilog, UVM, and various simulation environments to support hardware validation efforts.
NVIDIA is seeking interns for their Deep Learning Computer Architecture teams to work on projects involving GPU/CPU architecture, performance modeling, and parallel programming. Interns will utilize technologies such as C++, CUDA, and deep learning frameworks to solve complex computing challenges.
NVIDIA is seeking Ph.D. students for hardware research internships focused on circuit design, ASIC/VLSI development, and electronic design automation (EDA). Interns will collaborate with research teams to develop prototypes and publish original research in areas like ML accelerators, memory design, and high-speed signaling.
NVIDIA is seeking interns for 12-week roles in hardware physical design and VLSI, focusing on chip implementation, timing closure, and physical verification using industry-standard EDA tools. Interns will work on projects impacting accelerated computing, AI, and robotics while pursuing their degree.
NVIDIA is seeking interns for 12-week hardware ASIC design roles, focusing on tasks like RTL design, verification, and physical design. Interns will work on projects impacting AI, robotics, and accelerated computing using tools like SystemVerilog, C++, and Python.
NVIDIA is seeking interns for 12-week roles focused on deep learning applications, algorithms, and framework development. Interns will work on GPU-accelerated computing projects using technologies like CUDA, PyTorch, and TensorFlow.
NVIDIA is seeking M.S. or Ph.D. students for a 12-week Hardware Design for Test (DFT) internship. Interns will work on hardware testing architectures, digital design, and silicon debug using tools like Synopsys and Cadence.
NVIDIA offers 12-week hardware engineering internships for students pursuing degrees in electrical or computer engineering. Interns work on projects across system validation, hardware design, mechanical engineering, and silicon solutions using tools like Python, Verilog, and various CAD software.
The Azure Data Engineer will design and maintain scalable cloud-based data pipelines and ETL frameworks using Azure services like ADF, Databricks, and Synapse. The role requires strong programming skills in Java or C# to build reusable components and integrate data across enterprise systems.
This role involves building distributed cloud systems and operational tools to support autonomous delivery vehicle fleets, including sensor data processing, ML infrastructure, and fleet diagnostics. Engineers will work across the vehicle-to-cloud data path to scale platforms for real-world autonomous operations.
The Senior Data Engineer will architect and build scalable data pipelines on AWS to support automotive data products and AI-driven capabilities. The role involves hands-on development using Python, SQL, Databricks, and agentic AI frameworks in a hybrid work environment.
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