UNKNOWN

FEED

Digital circuit, ADC/DAC, Phase-locked loops(PLL), evaluation and feedback of noise performance, performance estimation, lab simulation, test of circuits, analysis of noise and distortion. Requirements: Master’s degree or foreign equivalent degree in Electrical Engineering, Computer Engineering or a closely related field with a focus on Electronic Circuits and Systems.

YEAR

<p>OmniVision Technologies is a leading developer of advanced digital imaging solutions. Its award-winning CMOS imaging technology enables superior image quality in many of todayâ€™s consumer and commercial applications, including mobile phones, notebooks, tablets and webcams, digital still and video cameras, security and surveillance, entertainment devices, automotive and medical imaging systems. Find out more at <a href="http://www.ovt.com/" target="_blank">www.ovt.com</a>.</p>

Omnivision

Sensor Characterization Engineer

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Experience with programming languages used for data acquisition (Python, LabVIEW), statistical analysis (JMP, MATLAB) and/or optical simulation tools (LightTools).Experience with failure analysis connecting optical device performance to process outcomes Excellent project management, communication and collaboration skills Knowledge and experience in display specific optics Experience with module engineering and mass production procedures. This individual will be collaborating on flat panel displays both at the component and system level and serves as a focal point between the system design team, the display EE team, display mechanical team, the supply base management team, and the display suppliers, managing all activities vital to deliver displays into final products from initial concept to production.

<div class="col-md-4 passion" style="background-color: #666666; border-radius: 20px; -webkit-box-shadow: 2px 2px 2px 2px #979b91; -moz-box-shadow: 2px 2px 2px 2px #979b91; box-shadow: 2px 2px 2px 2px #979b91; color: #ffffff; font-family: calibri; font-size: 13px; padding: 17px; text-align: center;">
<h3 style="color: #ffffff; font-size: 16px; font-weight: normal;">We bring amazing people together to make amazing things happen.</h3>
<p>We’re a diverse collection of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including iTunes, the App Store, Apple Music, and Apple Pay. And the same passion for innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.</p>
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<h3 style="color: #666666; font-weight: 500;">About Apple</h3>
<p>There’s a place here for every kind of brilliant.
Everyone here is an innovator, or an innovator-to-be, no matter what your team or your role. So bring your passion, courage, and original thinking and get ready to share it, because every new product, service, or feature we invent is the result of people working together to make each others’ ideas stronger. Innovation at this level depends on people who represent the variety of the human experience and inspire us with their own fresh perspectives. Together, we’ll do amazing work that can make a difference in people’s lives. Including your own.

<a href="https://www.apple.com/jobs/us">Learn more about working at Apple.</a>
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Apple Inc

Display Engineer

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Apple's Compute Frameworks team in GPU, Graphics and Displays org provides a suite of high-performance data parallel algorithms for developers inside and outside of Apple for iOS, macOS and Apple TV. Our team is seeking extraordinary machine learning and GPU programming engineers who are passionate about providing robust compute solutions for accelerating machine learning networks on Apple Silicon.

GPU ML Engineer

Research and evaluate state-of-the-art learning-based methods for low-level vision tasksBS and a minimum of 3 years relevant industry experience Hands on experience on image/video processing, machine learning and computer vision Programming skills in Python, Java, or C/C++PhD degree in Machine Learning, Computer Science, Electrical/Computer Engineering, or related fields Project experience on low level computer vision algorithms such as spatial/temporal filtering, image enhancement, or video analysis Publication record in top tier conferences (e.g., CVPR, ICCV, ICIP, SIGGRAPH, etc) Excellent written and oral communication skills. In this role, you will collaborate closely with a dynamic team of Apple engineers to design and implement machine learning-based image and video processing technologies that power both current and future Apple products.

Machine Learning Video Processing Engineer

Experience with classical and modern computer vision approaches, reconstruction pipelines, image processing/camera systems and computational photography pipelines Experience with multimodal data fusion across a variety of inputs and sensors, including audio processing (e.g., DSP, echo cancellation, audio-visual diarization, speech recognition) Knowledge of the broader robotics software stack (e.g., kinematics, planning, controls) alongside state estimation methods (e.g., SLAM, factor graphs, filtering, sensor fusion) and reinforcement learning methods. We believe recent breakthroughs in AI/ML and robotics have the potential to unlock new experiences that were never possible before, and we are looking for talented Perception Algorithm Engineers to realize that mission by expanding the capabilities of Apple products and platforms.

Perception Algorithm Engineer

The Staff Electrical Engineer position is part of the Electrical Engineering group within the R&D Capital Equipment department, and will be a key contributor in electrical design, feasibility, requirements definition, design verification, test system development, manufacturing procedure development, and production transfer activities at various stages of the product development cycle. Serve as the EE subject matter expert on multiple electronics subassemblies used within Procept's electromechanical capital equipment, including controllers and interfaces with CMOS camera modules, sensors, pumps, motors, cables, and wiring harnesses.

Procept Biorobotics

Staff Electrical Engineer

Come shape Apple products as a driven and dedicated Computer Vision/Deep Learning Algorithm Engineer to push the limits of biometric ML algorithms with hands-on work and real world and simulated data, in an innovative team and be part of building the next big thing. Be part of the team in the Video Computer Vision (VCV) organization that focuses on people understanding from real-time video streams and building higher level reasoning algorithms.

Computer Vision/Deep Learning Engineer

OmniVision Technologies, Inc. – Santa Clara is currently looking for Staff Algorithm Engineer to support ISP algorithm development. Actual pay will be determined on a number of factors such as relevant skills and experience, and the pay of employees in the similar role.

Staff Software Algorithm Engineer

Define and own the technical roadmap for camera image quality assessment methodologies across AI Glasses, VR, AR, and mixed reality wearable platforms Influence the overall design and characterization of camera subsystems, including lens selection, sensor evaluation, and optical system integration for wearable devices Create and improve tools, metrics, and workflows for the camera tuning process Collaborate with HW, Algo, ISP, firmware, and perception engineering teams to translate IQ requirements into hardware and algorithm specifications Drive camera system trade-off analyses across form factor, power, thermal, and image quality constraints unique to wearables and AR/VR devices Establish test methodologies and lab infrastructure for objective and subjective image quality evaluation of camera modules in wearable form factors Provide technical guidance to other engineers across camera hardware, ISP tuning, and perceptual quality domains Partner with product and research teams to define camera quality targets aligned with user experience goals for immersive and passthrough video applications Represent camera IQ requirements in cross-functional design reviews, influencing system architecture decisions at the organizational level Identify and resolve systemic image quality issues across the camera pipeline, from photon capture through final rendered output in AR/VR contextsBachelor's degree in Electrical Engineering, Computer Science, Image Processing, Color Science, or a related field 8+ years of experience in camera image quality assessment, optical system design, or camera hardware engineering for consumer electronics or wearable devices Experience defining and executing IQ evaluation frameworks using objective metrics such as MTF, SNR, dynamic range, color error, and distortion characterization Experience with camera module integration, lens and sensor selection, and optical system trade-off analysis in constrained form factor environments Experience setting technical direction across cross-functional teams spanning algorithms, image signal processing, and hardware engineering Proven track record to enhance product development processes through technology and tooling improvements Demonstrated experience working effectively with a broad range of colleagues and partners to drive impact Interest in photography and camera image quality M.S. or Ph. D. in image processing, color science, electrical engineering, computer science, or a related field Experience with image processing techniques, ISP blocks, and computational photography or AI-based algorithms for mobile camera products A proven track record of collaborating effectively across functions In-depth experience in image quality metrics Familiarity with human perception and statistical analysis, or relevant research experienceMeta builds technologies that help people connect, find communities, and grow businesses.

Meta Platforms Inc

Technical Lead, Camera IQ Assessment and Design

Drive the exploration and productionization of emerging capabilities such as AI Agents, multimodal reasoning, and video understanding to build next-generation intelligent moderation systems Minimum Qualifications: Bachelor degree or above in Computer Science, Software Engineering, Artificial Intelligence, Mathematics, or related fields. Leverage machine learning, deep learning, and large model technologies to improve content moderation pipelines, enhance operational efficiency, and ensure model robustness and production stability.

TikTok Inc

Machine Learning Engineer, TikTok - Business Governance

As a formal verification engineer working the complete formal verification for single or multiple design blocks and IP's (CPU, GPU, Cellular and Connectivity IP, Audio and Image Processing IP, Neural Networks IP, Memory/DMA Controller, Security IP, Peripheral IP, Interconnects, Power management subsystems, etc.), you will be responsible for: Working with Apple Silicons world-class design engineers to develop a formal micro-architecture specification. Knowledge and experience in interpreting hardware specifications Proficiency in any scripting language with excellent debugging skills Excellent interpersonal skills.

GPU Formal Verification Engineer

Deep multi-cluster or multi-region Kubernetes experience running diverse workloads at scale, from large batch and data-processing jobs to GPU and agentic workloads, including scheduling and autoscaling systems such as Karpenter, Kueue, or Volcano. Youll work embedded with engineers across the entire org and support a variety of customer deployments, and youll be trusted to make architectural calls, own incidents end-to-end, and drive infrastructure decisions rather than just execute tickets.

Applied Intuition Inc

Senior Software Engineer - Cloud Infrastructure

Brooks is a leading provider of automation solutions with over 40 years of experience in the semiconductor industry, offering precision robotics, integrated automation systems, and contamination control solutions that empower chip manufacturers worldwide. Our product portfolio includes a range of automation solutions, including robots, vacuum systems, and atmospheric robots for semiconductor manufacturing (www.brooks.com).

Brooks Automation US LLC

Senior Software Engineer

Experience writing systems software for any of semiconductor equipment, IoT devices, medical systems, robotics, motion systems, mechatronics systems, electron optical systems, calibrations, image processing, process automation, wireless, cameras or sensors. Individual pay is determined through interviews and an assessment of several factors that that are unique to each candidate, including but not limited to job-related skills, relevant education and experience, certifications, abilities of the candidate and pay relative to other team members.

ASML

Principle Software Engineer – Systems software

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Currently has, or is in the process of obtaining, a Bachelor's, Master's or PhD degree in Computer Science, Electrical Engineering, Mechanical Engineering, Mechatronics, Robotics or a related field Computer vision or deep learning experience from coursework, research or projects (detection, segmentation, anomaly detection, pose estimation) Experience programming in Python with a deep learning framework such as PyTorch Experience with image processing libraries such as OpenCV Intent to return to a degree program after the internship Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment 3D vision experience: point clouds, depth cameras, multi-view geometry, or aligning scans to CAD models Experience deploying cameras on a network (IP cameras, RTSP streams, edge devices such as NVIDIA Jetson) or running models in real time Experience generating synthetic training data (Blender, rendering from CAD, domain randomization) Experience with anomaly detection when there are few or no examples of defects Projects in industrial inspection, robotics or machine monitoring Comfortable working across disciplines, including hands-on with machinists on a shop floor Familiarity with CAD tools (Fusion 360, SolidWorks, NX) and 3D file formats such as STEP and STLMeta builds technologies that help people connect, find communities, and grow businesses. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.

Computer Vision Engineer Intern, Advanced Manufacturing (Reality Labs)

BS in Electrical Engineering, Physics, Mechanical Engineering, Computer Science, or a related field and a minimum of 10 years relevant industry experience Experience with debugging and troubleshooting issues with complex systems Experience with laboratory instrumentation including oscilloscopes, spectrum analyzers, optical power meters, lock-in amplifiers, and precision current/voltage sources Experience with scripting languages (Python or Matlab preferred) for test automation, data acquisition, and analysis10+ years of hands-on experience in design, systems integration, hardware validation, or a related engineering role involving complex electronic or electro-optical systems Demonstrated experience with optical or photonic systems, including photodetectors, laser sources (VCSEL, LED, IR), imaging sensors, or LiDAR/proximity sensing technologies Experience with wearable health devices or medical technologies Experience with structured debug methodologies and root cause analysis across multi-domain hardware systems Solid understanding of analog and mixed-signal circuit design principles as they relate to sensor front-end performance (noise, bandwidth, dynamic range) Familiarity with embedded firmware concepts and the ability to collaborate effectively with firmware engineers during system-level debug Experience developing or maintaining automated test equipment (ATE) or custom bench test fixtures Detail-oriented and organized with excellent written and verbal communication skills. As a member of our dynamic group, you will have the unique and rewarding opportunity to craft upcoming products that will delight and inspire millions of Apple's customers every single day.

System Integration Lead

Requires solid technical knowledge of opto-mechanical systems (illumination, imaging optics, and sensors) and the ability to work independently on defined technical problems while contributing to multi-disciplinary team results in a data-driven culture. Be part of an engineering team to identify the scope, constraints, and risks for design, fabrication, test, and volume production of optical subsystems (illumination, imaging optics, lens assemblies, and imaging sensor channels).

<p>Applied Materials (Nasdaq: AMAT) is the leader in Materials engineering solutions used to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on an industrial scale enables customers to transform possibilities into reality. At Applied Materials, our innovations make possible the technology shaping the future. To support customers around the world, Applied Materials employs approximately 22,000 people in over 100 locations in 18 countries.</p> 




Applied Materials

Systems Engineer III - (E3) | Optics

While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program. Drive low-level performance work: write and tune WebGPU compute shaders (WGSL) and, where relevant, native kernels (Metal, Vulkan/SPIR-V compute, D3D12, CUDA); profile with browser and platform tools (Chrome/Dawn GPU traces, PIX, Instruments/Metal System Trace, Snapdragon Profiler, Nsight, RenderDoc), and eliminate bottlenecks at the op and memory-bandwidth level.

Unity Technologies SF

Principal Machine Learning Engineer

Research harness-level optimization across prompts and task framing, tool and schema design, skills, MCP-backed providers, subagents, context and memory management, agent-loop policy, and reliable verifiers. Experience with distributed training, rollout, and/or inference using some subset of PyTorch distributed/FSDP, DeepSpeed or Megatron; verl, TRL, OpenRLHF or comparable post-training systems; and vLLM, SGLang, or comparable inference stacks.

ServiceNow

Staff Research Engineer/Scientist

Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove. Note: This position requires presence in our San Francisco/San Jose or Bellevue office location 4 days per week; Lambdas designated work from home day is currently Tuesday.

Imaging Engineer Jobs in Cupertino, CA

Sensor Characterization Engineer Omnivision

Display Engineer Apple Inc

GPU ML Engineer Apple Inc

Machine Learning Video Processing Engineer Apple Inc

Perception Algorithm Engineer Apple Inc

Staff Electrical Engineer Procept Biorobotics

Computer Vision/Deep Learning Engineer Apple Inc

Staff Software Algorithm Engineer Omnivision

Technical Lead, Camera IQ Assessment and Design Meta Platforms Inc

Machine Learning Engineer, TikTok - Business Governance TikTok Inc

GPU Formal Verification Engineer Apple Inc

Senior Software Engineer - Cloud Infrastructure Applied Intuition Inc

Senior Software Engineer Brooks Automation US LLC

Principle Software Engineer – Systems software ASML

Computer Vision Engineer Intern, Advanced Manufacturing (Reality Labs) Meta Platforms Inc

System Integration Lead Apple Inc

Systems Engineer III - (E3) | Optics Applied Materials

Principal Machine Learning Engineer Unity Technologies SF

Staff Research Engineer/Scientist ServiceNow

Software Engineer - Fleet Lambda Inc

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