94 vision system engineer jobs at 50 companies in San Francisco, CA
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Hardware System Design Engineer - Apple Vision Pro
San Jose, California, United States
OnsiteFull Time
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Engineering role contributing to the design and development of hardware systems for Apple Vision Pro (specific technical qualifications not listed in description).
Sentradel: Develops autonomous kinetic turret systems for counter-drone defense.
Experience shipping real-time computer vision systems, drone/small-object detection and tracking, deploying models on embedded GPUs (NVIDIA Jetson), and CUDA experience; must be a US Person.
MetaNASDAQ: META: Develops social networking platforms and virtual reality technologies.
Bachelor's in CS/CE or equivalent, strong background in computer vision, classical image analysis, 2D/3D geometric modeling, imaging systems/optics, machine learning, and experience mentoring or technical leading projects.
NERF, Gaussian splatting, procedural rendering engines, ray tracing, path tracing
Epia Neuro: Develops intent-driven systems that integrate implantable neural interfaces, adaptive algorithms, and assistive devices to restore function and independence for people with neurological conditions.
7+ YOEBachelor's degree required, 7+ years developing and deploying computer vision/ML systems; expertise in object detection, segmentation, pose estimation; productionizing models for real-time edge/embedded inference; production-quality Python and C++.
Exploration Technology Group: Designs and builds hardware for space and defense missions.
5+ YOE5+ years in IR sensor systems, EO payloads, or space imaging; strong Kalman filtering, tracking, data association; CNNs/ML for real-time embedded inference; MATLAB/Python with production C++ experience.
Kalman filters (EKF, UKF), multi-target tracking, data association (JPDA, MHT), MATLAB, Python, C++, CNNs, embedded FPGA and GPU, radiometric modeling, Monte Carlo, hardware-in-the-loop
IntuitiveNASDAQ: ISRG: Robotic-assisted systems for minimally invasive surgery.
8+ YOEBachelor's degree or higher in electrical engineering, mechatronics, robotics, or related engineering discipline; 8+ years of engineering experience in medical devices, robotics, imaging, or precision electromechanical products.
da Vinci, Ion, Python, C, C++, C#, JavaScript, FTIR, X-ray imaging, SEM/TEM, EDS, PCA/PCB, EMC, Design of Experiments (DOE), Design for Manufacturability (DFM), Design for Assembly (DFA), Design for Serviceability (DFS), Technology Control Plan (TCP)
Sciton: A medical technology developing laser, light, and energy products for aesthetic and medical applications.
4+ YOERequires a master's or PhD in optical physics, computer science, biomedical engineering, or related field; 4+ years' experience; C/C++, Python, real-time vision, optical imaging, and embedded systems expertise.
Senior/Staff System Software Engineer — ADAS Vision Platform
Mountain View, California, United States
OnsiteFull Time
Phantom AI: Develops computer vision and sensor fusion software for vehicles.
6+ YOE6+ years in real-time or embedded system software; expert C++ and solid C; OS and architecture expertise; ROS/ROS2, serialization, middleware, and TCP/UDP/Ethernet; BS/MS in Computer Science or equivalent.
Allen Control Systems: Develops autonomous robotic weapon systems for drone defense.
7+ YOE7+ years CV/ML experience, BS (required) or MS, proficiency in Python and C++, TensorFlow or PyTorch, embedded systems and sensor integration, real-time/safety-critical deployment experience.
ByteDance: Developing AI-driven content platforms and mobile applications.
3+ YOEPhD in EE/CS/Physics or related, 3+ years research in ML algorithms or AI accelerator design, proficiency in C/C++, MATLAB, Python, and experience with FPGA prototyping and system evaluation.
Rivet Industries: Building integrated task systems for frontline industrial and defense operators.
10+ YOEMS+10 years or PhD+5 years in computer vision/AR/real-time systems; strong C++/C# and Python skills; experience on Android/embedded Linux, OpenXR/OpenCV, model optimization for edge; U.S. Person required.
NVIDIANASDAQ: NVDA: Designs graphics processing units and artificial intelligence hardware.
12+ YOE12+ years software development experience with modern C++ and Python on Linux; expertise in computer vision, deep learning, distributed systems, and performance optimization; PyTorch and GPU acceleration experience.
NVIDIANASDAQ: NVDA: Designs GPU-accelerated computing and artificial intelligence hardware.
12+ YOE12+ years software development using modern C++ and Python on Linux; strong CS fundamentals; experience in computer vision, deep learning, distributed systems, performance optimization, PyTorch, and GPU acceleration.
PinterestNYSE: PINS: Visual discovery engine for finding inspiration and creative ideas.
Experience building and training large-scale computer vision and multimodal models; publications or shipped ML systems; MS/PhD or equivalent; proficiency with PyTorch and large-scale GPU training; strong collaboration and mentoring skills.
Staff Software Development Engineer: GPU, Computer Vision, AI/ML Ops
Santa Clara, California, United States
OnsiteFull Time
AMDNASDAQ: AMD: Designs and manufactures computer processors and graphics technology.
Expert in high-performance C++ and GPU programming (HIP/CUDA), experience with LLMs and AI systems, GPU profiling and kernel optimization, and degree in CS/CE/EE.
Matroid: Platform for training and deploying custom computer vision detectors.
Deep expertise in computer vision/deep learning or production systems, proven production engineering experience, strong architectural judgment, ability to write production code, debug cross-system failures, and communicate technical tradeoffs.
RivianNASDAQ: RIVN: Designs and manufactures electric vehicles and charging networks.
Advanced degree in CS/Robotics/Electrical Engineering, extensive experience building perception systems for mapping (ML, Computer Vision, SLAM), strong software engineering and systems design skills.
Machine Learning, Computer Vision, SLAM, state estimation
Six Sigma Microelectronics: Industrial, high-technology manufacturing.
2+ YOEBS in Mechatronics or Robotics engineering; 2+ years experience; embedded systems; CAD with SolidWorks/AutoCAD; electrical panel design; PLC/PAC familiarity; low-level programming; machine vision knowledge is a plus.
GrantekNYSE: COR: Provides integrated automation and smart manufacturing engineering solutions.
6+ YOEB.Sc. in engineering, computer science, mechatronics, or related technology; 6–8+ years of practical automation experience; driver’s license, vehicle access, and willingness to travel 30–50%.