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Leads power integrity analysis for AI connectivity ASICs, ensuring stable power delivery and reliability through IR drop and electromigration sign-off from floorplan to tapeout.
We made history and now we work to transform the future – for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At…
Designs high-speed networking hardware (100G/200G Ethernet switches) for AI clusters, datacenters, and enterprise networks, focusing on PCB layout, signal integrity, FPGA control, and system validation.
About FacilityOS FacilityOS is a fast-growing company redefining how facilities operate—bringing safety, security, and daily operations into one unified platform used by organizations around the world. As we continue…
Principal Physical Design Engineer (STA) at Astera Labs designs and optimizes timing for high-performance connectivity ASICs used in AI infrastructure, leveraging advanced EDA tools and TSMC 7nm processes.
Principal Physical Design Engineer defines and maintains reusable RTL-to-GDSII flows and automation for SoC tapeouts, integrating Cadence and Synopsys tools to optimize PPA and schedule predictability.
Designs and optimizes ultra-low-latency FPGA hardware for electronic trading systems used by top-tier financial institutions.
Designs, tests, and maintains high-performance FPGA/ASIC systems for ultra-low-latency trading infrastructure, using SystemVerilog for verification and advanced simulation tools.
FPGA Design Engineer responsible for RTL design, development, and optimization of high-performance, ultra-low latency FPGA compute and networking systems for electronic trading infrastructure, primarily using SystemVerilog/VHDL.
Paint Technician (Automated Paint Line) Location: Alma, Michigan Department: Paint Operations / Manufacturing Reports To: Operations Manager Position Summary International Automotive Components (IAC) is a leading…
Designs and develops high-speed, high-density trading hardware (PCBs, custom silicon, antennas) for financial markets, from schematic capture to production, while collaborating with multidisciplinary teams to optimize performance and latency.
About Redtree Redtree Engineering, part of CSI's global network, specializes in engineering, project management, and construction support services for power systems, industrial facilities, mission-critical…
About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we…
Designs and tests digital circuit card assemblies for missile guidance and defense systems, using FPGAs, processors, and high-speed interfaces while collaborating across engineering teams.
Lead the development of electrical accessory point integration for automotive clients using CAD software, collaborating with cross-functional engineering teams on wiring harnesses, control modules, and vehicle systems.
May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our…
The Construction Project Manager oversees fiber and wireless infrastructure deployments in multifamily and commercial properties across the NYC metro area. This role involves managing the full project lifecycle from site planning to installation, coordinating field crews, and ensuring projects meet schedule and safety standards.
The Staff Machine Learning Engineer will lead the development of Edge AI models for in-vehicle health monitoring and failure prediction. The role involves owning the end-to-end ML pipeline, including model training, optimization for resource-constrained devices, and deployment using technologies like PyTorch, TensorFlow, and C++.
The Senior Staff Machine Learning Engineer will lead the development and deployment of Edge AI models for in-vehicle health monitoring and failure prediction. This role involves managing the end-to-end ML pipeline, including model training, optimization for resource-constrained devices, and integration with vehicle systems.
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