System Engineer Salary at Apct Inc BETA

Job Description:- Responsibilities:- Set up and execute regressions for multiple IPs and subsystems, running EDA tools to verify proper synthesis. Collaborated with multiple design teams to assist in regression setup and troubleshoot issues. Developed and maintained Python scripts and shell scripts to automate and support the IPQC framework for improving packaging and quality control. Worked closely with the reporting team to provide relevant data and insights and assist in designing and developing dashboards for better visualization and analysis of regression results. Skills Required : Git(Version Control) Python, Shell Scripting Some knowledge of EDA tools Regression testing, IPQC, SQL Experience required: 4 years to 12 years only

About the Company - We are partnering with a cutting-edge AI research lab that is building foundation models from the ground up—across large language models (LLMs), image/video generation, and robotics. This is a high-intensity, hands-on environment for top-tier engineers who want to build state-of-the-art machine learning infrastructure at scale. About the Role - We are seeking a Senior ML Infrastructure Engineer to design and build distributed training systems for large-scale AI models. This role is highly technical and requires deep expertise in ML infrastructure, distributed computing, and large-scale model training. Responsibilities Architect and optimize distributed training infrastructure for massive-scale AI models. Set up and maintain multi-node, GPU-based training clusters (12+ nodes, 100+ GPUs). Debug and optimize ML training performance (NCCL, CUDA, PyTorch pipeline optimization). Implement and optimize data and model parallelism techniques (FSDP, DDP, DeepSpeed). Develop i

About the Company - We are partnering with a cutting-edge AI research lab that is building foundation models from the ground up—across large language models (LLMs), image/video generation, and robotics. This is a high-intensity, hands-on environment for top-tier engineers who want to build state-of-the-art machine learning infrastructure at scale. About the Role - We are seeking a Senior ML Infrastructure Engineer to design and build distributed training systems for large-scale AI models. This role is highly technical and requires deep expertise in ML infrastructure, distributed computing, and large-scale model training. Responsibilities Architect and optimize distributed training infrastructure for massive-scale AI models. Set up and maintain multi-node, GPU-based training clusters (12+ nodes, 100+ GPUs). Debug and optimize ML training performance (NCCL, CUDA, PyTorch pipeline optimization). Implement and optimize data and model parallelism techniques (FSDP, DDP, DeepSpeed). Develop i

About the Company - We are partnering with a cutting-edge AI research lab that is building foundation models from the ground up—across large language models (LLMs), image/video generation, and robotics. This is a high-intensity, hands-on environment for top-tier engineers who want to build state-of-the-art machine learning infrastructure at scale. About the Role - We are seeking a Senior ML Infrastructure Engineer to design and build distributed training systems for large-scale AI models. This role is highly technical and requires deep expertise in ML infrastructure, distributed computing, and large-scale model training. Responsibilities Architect and optimize distributed training infrastructure for massive-scale AI models. Set up and maintain multi-node, GPU-based training clusters (12+ nodes, 100+ GPUs). Debug and optimize ML training performance (NCCL, CUDA, PyTorch pipeline optimization). Implement and optimize data and model parallelism techniques (FSDP, DDP, DeepSpeed). Develop i

About the Company - We are partnering with a cutting-edge AI research lab that is building foundation models from the ground up—across large language models (LLMs), image/video generation, and robotics. This is a high-intensity, hands-on environment for top-tier engineers who want to build state-of-the-art machine learning infrastructure at scale. About the Role - We are seeking a Senior ML Infrastructure Engineer to design and build distributed training systems for large-scale AI models. This role is highly technical and requires deep expertise in ML infrastructure, distributed computing, and large-scale model training. Responsibilities Architect and optimize distributed training infrastructure for massive-scale AI models. Set up and maintain multi-node, GPU-based training clusters (12+ nodes, 100+ GPUs). Debug and optimize ML training performance (NCCL, CUDA, PyTorch pipeline optimization). Implement and optimize data and model parallelism techniques (FSDP, DDP, DeepSpeed). Develop i

About the Company - We are partnering with a cutting-edge AI research lab that is building foundation models from the ground up—across large language models (LLMs), image/video generation, and robotics. This is a high-intensity, hands-on environment for top-tier engineers who want to build state-of-the-art machine learning infrastructure at scale. About the Role - We are seeking a Senior ML Infrastructure Engineer to design and build distributed training systems for large-scale AI models. This role is highly technical and requires deep expertise in ML infrastructure, distributed computing, and large-scale model training. Responsibilities Architect and optimize distributed training infrastructure for massive-scale AI models. Set up and maintain multi-node, GPU-based training clusters (12+ nodes, 100+ GPUs). Debug and optimize ML training performance (NCCL, CUDA, PyTorch pipeline optimization). Implement and optimize data and model parallelism techniques (FSDP, DDP, DeepSpeed). Develop i

About the Company - We are partnering with a cutting-edge AI research lab that is building foundation models from the ground up—across large language models (LLMs), image/video generation, and robotics. This is a high-intensity, hands-on environment for top-tier engineers who want to build state-of-the-art machine learning infrastructure at scale. About the Role - We are seeking a Senior ML Infrastructure Engineer to design and build distributed training systems for large-scale AI models. This role is highly technical and requires deep expertise in ML infrastructure, distributed computing, and large-scale model training. Responsibilities Architect and optimize distributed training infrastructure for massive-scale AI models. Set up and maintain multi-node, GPU-based training clusters (12+ nodes, 100+ GPUs). Debug and optimize ML training performance (NCCL, CUDA, PyTorch pipeline optimization). Implement and optimize data and model parallelism techniques (FSDP, DDP, DeepSpeed). Develop i

We are looking for a Systems Engineer with a focus in Mechatronics to join our team to develop our next generation metrology product. The Mechatronics Engineer will work in a cross-functional team of engineers and designers in a culture that values respect, curiosity, and execution with the vision to produce high quality systems. Pay Range: $110,000- $150,000 Annually (DOE) About us: Nova provides insights into process control in the world’s most technologically advanced industry. We employ physics, mathematics, algorithms, software and hardware expertise to redefine the limits of what is possible in semiconductor manufacturing. We invite you to join our dreamers and winners and brilliant high- aimers who see impossible as the starting point to exciting challenges, and work together in multidisciplinary global teams to find answers. We dive deep to extract unique insights and provide our customers and partners with crucial decision-making data. Each and every one of us helps redefine w