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An undergrad software engineering intern/co-op collaborates with AMD engineers to develop, maintain, and automate software applications, focusing on debugging, documentation, and scripting. Core technologies include C/C++, Python, cloud platforms, and embedded systems.
An undergraduate intern/co-op for hardware design verification at AMD, focusing on testing and debugging AI-related hardware projects using Verilog/SystemVerilog, Python, Perl, and other tools to ensure performance and reliability.
An intern/co-op verifying AMD’s AI hardware designs by writing test scripts, debugging, and validating hardware/software integration for next-gen machine intelligence products.
An undergrad co-op/intern develops and executes verification test plans for AMD’s AI hardware, writing scripts (Python/Perl) and debugging Verilog/SystemVerilog models to ensure high-end machine intelligence products meet performance and reliability standards.
Intern/co-op role verifying hardware designs for AMD’s high-end AI processors, writing test scripts in Python/Perl, and debugging Verilog/SystemVerilog models.
An undergraduate internship in firmware engineering at AMD, focusing on designing, developing, debugging, and validating firmware for AMD’s discrete and embedded products, including x86 firmware and embedded bootrom/HW. Work involves collaboration on pre-silicon emulation, waveform analysis, and Agile methodologies.
This co-op/intern role involves developing, debugging, and validating firmware for AMD’s discrete and embedded products, including x86 firmware and embedded bootrom/HW. Tasks include working with pre-silicon emulation, waveform analysis, and collaborating on design/code reviews using C/C++ and hardware architectures.
Develops and validates firmware for AMD’s discrete and embedded products, including x86 firmware and bootrom/hardware integration, with debugging at firmware/hardware boundaries.
An internship designing and shipping UI for Rilla’s AI-powered sales coaching software, bridging offline workflows with modern tech. Focus on product discovery, customer feedback, and shaping design culture in a high-velocity startup.
Senior QA Engineer responsible for ensuring the reliability of Runlayer Endpoint across macOS, Windows, Linux, and enterprise device-management platforms. Focuses on exploratory testing, release qualification, and building scalable agent-driven test infrastructure for AI clients.
Leads end-to-end development of custom silicon/cloud hardware products at Google, coordinating cross-functional teams across design, manufacturing, and deployment to deliver scalable AI/infrastructure solutions.
Drive AI-native Search features from idea to launch, partnering with engineers and designers to build next-gen user experiences powered by LLMs and agentic systems for billions of users.
Build and deploy AI/ML models and GenAI features for federal applications, integrating them into production systems and collaborating with cross-functional teams.
This Senior Data Scientist role involves leading applied research in computer vision and video ML for a scaling startup. The position focuses on developing models for object tracking, pose estimation, and temporal analysis using Python and PyTorch.
Maintains and evolves Apple’s production AI-augmented systems for crash analysis, ensuring reliability and scalability while integrating LLMs/agents into core infrastructure.
Lead AI Engineer responsible for designing, building, and optimizing AI systems (e.g., retrieval-augmented generation, semantic retrieval) using large language models and advanced architectures like colbertv2. Focuses on scalability, performance, and compliance while mentoring teams.
Lead architecture and PCB design of high-speed mixed-signal control systems for quantum computers, focusing on low-phase-noise, multi-gigabit interfaces, and Altium-based layouts.
Build and maintain healthcare EHR integrations (Epic, Cerner) using FHIR/HL7 APIs, ensuring reliable data flows for AI-powered clinical decision support in hospitals.
Provide technical support for a cloud security and AI platform, troubleshooting issues, debugging code, and automating solutions for enterprise customers.
Growth Solutions Engineer at Wiz helps SMB/Commercial customers secure cloud and AI environments through technical sales, demos, and advisory on AWS, Azure, and GCP.
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