8 engineer in training electrical jobs found

NVIDIA is searching for an outstanding PhD intern working on efficient deep learning to join the Deep Learning Efficiency Research (DLER) team. We are passionate about research that pushes boundaries but also has impact in the real world. The team has two core focuses: (1) efficient diffusion language models and multimodal generative models, and (2) efficient agentic AI with hybrid inference orchestration across cloud and edge. We are also excited about post-training model optimization (pruning, quantization, NAS), efficient architecture design, adaptive/dynamic inference, and resource-efficient training and finetuning. You will work within an amazing and collaborative research team that consistently publishes at the top venues in computer vision and machine learning. Our existing expertise includes computer vision, deep learning, generative models, diffusion LLMs, multimodal models, and hybrid cloud-edge agentic systems. Your contributions have the chance to create real impact on...

Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA's GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team! What you'll be doing: You will be working on architecting GPU power features and system level power management solutions for NVIDIA products. Collaborate closely with other Architects, Software Engineers, ASIC Design Engineers, and Product teams to study, devise and implement the power management strategy...

Summary: VIAVI (NASDAQ: VIAV) is a global provider of network test, monitoring and assurance solutions for telecommunications, cloud, enterprises, first responders, military, aerospace, and railway. VIAVI is also a leader in light management technologies for 3D sensing, anti-counterfeiting, consumer electronics, industrial, automotive, government and aerospace applications. We are the people behind the products that help keep the world connected at home, school, work, at play, and everywhere in between. VIAVI employees are passionate about supporting customer success and we welcome people who bring their best every day to the company – to question, to collaborate and to push for solutions that will delight our customers. Viavi is looking for a Position, Navigation and Timing (PNT) Product Line Manager to drive market adoption and commercial success of our resilient timing and networking solutions in high-growth markets including defense, data center, and telecommunication....

Job Description The Technical Operations Lead - Energy Solutions provides functional leadership for the field application, deployment, commissioning, adoption, and lifecycle support of Canrig Energy Solutions products, including PowerTAP and Illumic. The role serves as the technical-operational bridge among Product Management, Engineering, Field Service, Operations, Sales, and customers. It translates operating requirements into safe, executable deployment plans; leads field readiness, troubleshooting, testing, training, and technical handoffs; and converts field performance and customer feedback into prioritized product and process improvements. Through approximately 50% field and customer travel, the position strengthens execution ownership, product reliability, service quality, customer readiness, and scalable commercial growth. This is a senior individual-contributor role with functional leadership responsibility and no direct reports. Qualifications Required...

Be part of the Autonomous Vehicle (AV) Applied Research team and help advance safe autonomy through generative world models and synthetic data. This internship is an opportunity to work alongside a team of researchers and engineers developing the next generation of models that can understand, simulate, and reason about complex driving environments. We are looking for a passionate and highly motivated Research Intern with a strong background in machine learning and an interest in autonomous driving, generative world models, multimodal foundation models, and synthetic data generation. Our applied research team works closely with researchers and engineers across NVIDIA Research and the AV organization to develop scalable methods for training, evaluating, and improving autonomous systems. Our research spans generative video and world models, controllable scenario generation, multimodal learning, end-to-end driving, 3D computer vision, and data-centric learning. We are particularly...

NVIDIA has been transforming computer graphics and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAn, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We, the Human Performance and Experience (HPX) team at NVIDIA Research, strive to lead AI innovation by deeply understanding humans. We are looking for individuals who are passionate about cross-disciplinary research in vision between humans and machines. We expect candidates with backgrounds in computer...

NVIDIA has been transforming autonomous vehicle development for more than a decade-and today, simulation is the engine at the heart of it all. As the world races toward Level 4 autonomy, the ability to reconstruct real-world driving scenes, generate infinite synthetic scenarios, and validate AV policies across millions of virtual miles before a single vehicle touches the road has become the defining competitive advantage. NVIDIA is building the full stack that makes this possible: from NuRec neural reconstruction and Cosmos world foundation models to AlpaSim closed-loop evaluation and the Alpamayo ecosystem. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Want to make a difference? Come join our team and see how you can make a lasting impact on the world! As the Director of Simulation Product Management, you will own the...

NVIDIA has been transforming autonomous vehicle development for more than a decade-and today, simulation is the engine at the heart of it all. As the world races toward Level 4 autonomy, the ability to reconstruct real-world driving scenes, generate infinite synthetic scenarios, and validate AV policies across millions of virtual miles before a single vehicle touches the road has become the defining competitive advantage. NVIDIA is building the full stack that makes this possible: from NuRec neural reconstruction and Cosmos world foundation models to AlpaSim closed-loop evaluation and the Alpamayo ecosystem. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Want to make a difference? Come join our team and see how you can make a lasting impact on the world! As the Director of Simulation Product Management, you will own the...