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Intern in software design at Silicon Labs, working on embedded systems and low-power wireless connectivity for edge devices in IoT applications.
Build and optimize the core of a safety-certified real-time OS used in vehicles, medical devices, and industrial systems, working on kernel architecture, memory management, and performance tuning in C.
Embedded QA tester for mobile games, collaborating with dev teams to prevent bugs, design test plans, and track bugs in an agile environment using manual testing.
Tutor Berklee students in music production and sound design, covering software like Ableton Live and Pro Tools and core audio concepts.
Designs and maintains Unity’s offline ML platform for analytics, experimentation, and AI-driven decision-making, focusing on scalable data pipelines, distributed model training, and infrastructure reliability.
Build and optimize the core of QNX, a safety-certified OS powering 275M+ vehicles and critical embedded systems, by designing kernel-level features and improving reliability, security, and performance.
Evaluates customer interactions/audits for quality, resolves issues, and drives performance improvements in outsourced digital services for tech clients (e.g., social media, e-commerce, gaming).
Build and maintain high-throughput ETL/ELT pipelines, optimize data workflows, and ensure clean, reliable data products using Python, PySpark, SQL, and modern lakehouse tools.
Designs and refines high-impact boss encounters for an unannounced Blizzard game, shaping combat mechanics, narrative integration, and player challenge using Unreal Engine or similar tools.
Mid-level Platform Engineer maintaining and modernising cloud and on-prem infrastructure, CI/CD pipelines, automation scripts, and observability tooling using AWS, PowerShell/Python/Bash, and Infrastructure as Code.
Product Designer for a social platform and virtual world company, owning design work end-to-end from research to final UI. Will work on experiences around play, self-expression, and friendship using Figma and modern design tools while building on an existing design system.
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.
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