AMDNASDAQ: AMD: Designs and manufactures computer processors and graphics technology.
Senior GPU software performance engineer with strong cross-stack problem-solving skills in training workloads; experience across data loaders, kernels, distributed training, and compilers.
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
5+ YOEBachelor's in EE/CE, 5+ years in high-speed system design and validation, experience with schematic/layout tools, lab test equipment, component selection, supply chain and full product lifecycle.
Schematic and layout tools, bench power supplies, high-speed oscilloscopes, logic analyzers, spectrum analyzers, VNA, thermal chambers
Video Algorithms Intern, Video Coding (Gaussian Splatting), Fall 2026
Los Gatos, California, United States
$40-$110/hrOnsiteInternship
NetflixNASDAQ: NFLX: Global video streaming and media production service.
PhD candidate in CS/Engineering/Math/Statistics with expected graduation June 2027+, strong Python and ML skills, experience with 3D/4D reconstruction, Gaussian Splatting or NeRF, differentiable rendering, and GPU programming familiarity.
Python, CUDA, WebGL, machine learning, deep learning, NeRF, Gaussian Splatting
Summer Robotics: Developing microsecond-precise 3D robotic vision platforms.
5+ YOEDesign and implement real-time 3D perception algorithms; strong C++, math, embedded, 5+ years experience; MS/PhD in Mechanical Engineering or Robotics; on-site in Campbell, CA.
C++, CUDA, Embedded Systems, 3D Sensing, Lie Theory, Optimization, Linear Algebra
Video Algorithms Intern, Video Coding (Gaussian Splatting), Fall 2026
Los Gatos or Los Angeles
$40-$110/hrOnsiteInternship, Full Time
NetflixNASDAQ: NFLX: Provider of global streaming entertainment and video content.
PhD student (expected grad June 2027 or later) with research in 3D/4D reconstruction or neural graphics, strong ML and software skills, and fluent Python programming.
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
MS or PhD; experience with foundation model serving/inference at scale; PyTorch/JAX; cluster tools (Slurm/Kubernetes); capacity planning; cost optimization.
Eridu AI: Develops semiconductor systems to accelerate AI infrastructure performance.
2+ YOEMSc/PhD in CS/EE; experience with network simulation tools; familiarity with distributed ML frameworks; HPC networking knowledge; strong C++/Python; 2+ years preferred