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Embedded Computer Vision Jobs (NOW HIRING)

Computer Vision Engineer

San Diego, CA · On-site

$118K - $139K/yr

... embedded platforms. • Collaborate closely with cross‑functional teams (hardware, software ... computer vision and video processing algorithms. • Solid understanding of SoC architecture ...

Computer Vision Engineer

Seattle, WA · On-site

$126K - $149K/yr

Optimize vision algorithms for real-time performance on embedded platforms Standards & Best Practices * Establish and document computer vision best practices * Create reusable calibration tools and ...

Computer Vision Engineer

Tremont, IL · Hybrid

$65K - $130K/yr

Proven ability to cross-compile and optimize modern C++ / Python computer-vision code on embedded Linux devices, preferably on the NVIDIA Jetson platform * Familiarity or experience with ML packages ...

Computer Vision Engineer

Costa Mesa, CA · On-site

$119K - $141K/yr

Optimize vision algorithms for real-time performance on embedded platforms Standards & Best Practices * Establish and document computer vision best practices * Create reusable calibration tools and ...

Computer Vision Engineer

San Diego, CA · On-site

$112K - $130K/yr

Computer Vision Engineer JOB OVERVIEW As a Computer Vision Engineer at Foresight Sports, you'll ... Experience working on embedded systems or with real-time video processing pipelines. * Exposure to ...

Computer Vision Engineer

San Diego, CA · On-site

$125K - $130K/yr

... embedded and desktop systems * Optimize performance using multithreading, SIMD, and GPU ... or related field * 3+ years of computer vision experience in real-time, product-focused ...

Computer Vision Engineer

San Diego, CA · On-site

$112K - $130K/yr

Computer Vision Engineer JOB OVERVIEW As a Computer Vision Engineer at Foresight Sports, you'll ... Experience working on embedded systems or with real-time video processing pipelines. * Exposure to ...

Computer Vision Engineer

San Diego, CA · On-site

$112K - $130K/yr

Computer Vision Engineer As a Computer Vision Engineer at Foresight Sports, you'll design and ... Experience working on embedded systems or with real-time video processing pipelines. * Exposure to ...

Computer Vision Engineer

San Diego, CA · On-site

$118K - $139K/yr

Experience with real-time computer vision systems or embedded AI deployment. * Experience using performance profiling tools and hardware simulators. Level of Responsibility * Works independently with ...

Computer Vision Engineer

San Diego, CA · On-site

$118K - $139K/yr

Experience with real-time computer vision systems or embedded AI deployment. * Experience using performance profiling tools and hardware simulators. Level of Responsibility * Works independently with ...

Computer Vision Engineer

Seattle, WA · On-site

$166K - $220K/yr

Optimize vision algorithms for real-time performance on embedded platforms Standards & Best Practices * Establish and document computer vision best practices * Create reusable calibration tools and ...

Computer Vision Engineer

San Diego, CA · On-site

$112K - $130K/yr

Computer Vision Engineer JOB OVERVIEW As a Computer Vision Engineer at Foresight Sports, you'll ... Experience working on embedded systems or with real-time video processing pipelines. * Exposure to ...

Computer Vision Engineer

Fremont, CA · On-site

$122K - $143K/yr

Computer Vision Engineer Location: Fremont, CA Key Skills: C#/C++ programming Computer vision tasks ... The projects all involve embedded software control of robotics and other motion related hardware.

Computer Vision/ML Engineer

Brooklyn, NY

$117K - $138K/yr

What you will do: * Design, fine-tune, and deploy computer vision models (YOLO, InsightFace ... Optimize models for embedded deployment using quantization, pruning, TensorRT, and NVIDIA Triton

Computer Vision AI Engineer

El Segundo, CA · On-site

$118K - $140K/yr

... embedded systems programming using C, C++, or Rust. Qualifications : Required : • 7+ years of experience in sensor fusion and target tracking • Experience in deep learning for computer vision ...

Computer Vision AI Engineer

$114K - $134K/yr

... embedded systems programming using C, C++, or Rust. Qualifications : Required : • 7+ years of experience in sensor fusion and target tracking • Experience in deep learning for computer vision ...

Computer Vision Engineer

Santa Clara, CA · On-site

$131K - $155K/yr

... Computer Vision. We are looking for excellent problem solvers to: * Contribute to multi-sensor data ... Experience with deploying custom software to embedded CPUs, GPUs, or FPGAs * Previous work with ...

Computer Vision AI Engineer

Aurora, CO · On-site

$113K - $133K/yr

... embedded systems programming using C, C++, or Rust. Qualifications : Required : • 7+ years of experience in sensor fusion and target tracking • Experience in deep learning for computer vision ...

Computer Vision Engineer

Fremont, CA · On-site

$122K - $143K/yr

Computer Vision Engineer Location: Fremont, CA Key Skills: C#/C++ programming Computer vision tasks ... The projects all involve embedded software control of robotics and other motion related hardware.

Computer Vision/ML Engineer

Manhattan, NY · On-site

$122K - $145K/yr

What you will do: * Design, fine-tune, and deploy computer vision models (YOLO, InsightFace ... Optimize models for embedded deployment using quantization, pruning, TensorRT, and NVIDIA Triton

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Embedded Computer Vision information

See salary details

$70K

$153.4K

$174K

How much do embedded computer vision jobs pay per year?

As of Jun 4, 2026, the average yearly pay for embedded computer vision in the United States is $153,383.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Embedded Computer Vision Engineer, and why are they important?

To thrive as an Embedded Computer Vision Engineer, you generally need strong programming skills in C/C++, a deep understanding of computer vision algorithms, and experience with embedded systems, often supported by a degree in computer engineering or a related field. Familiarity with tools and frameworks like OpenCV, TensorFlow Lite, and hardware platforms such as ARM Cortex or NVIDIA Jetson, as well as relevant certifications, is highly valuable. Critical soft skills include problem-solving, attention to detail, and effective communication for collaborating with multidisciplinary teams. These competencies ensure robust, efficient deployment of vision solutions on resource-constrained devices, driving innovation and product performance.

What are some typical challenges faced by professionals in embedded computer vision roles, and how can they be addressed?

Professionals in embedded computer vision often encounter challenges such as limited processing power, memory constraints, and real-time performance requirements on edge devices. To address these, it's essential to optimize algorithms for efficiency, leverage hardware accelerators (like GPUs or dedicated vision processors), and carefully manage memory usage. Collaboration with hardware engineers and software developers is common to ensure that solutions are both performant and scalable. Staying updated with the latest advances in model compression and efficient neural network architectures is also critical for success in this role.

What is embedded computer vision?

Embedded computer vision refers to the integration of computer vision algorithms and techniques directly into hardware devices, such as cameras, smartphones, autonomous vehicles, or industrial machinery. Unlike traditional computer vision systems that require powerful external computers, embedded computer vision systems process visual data locally on devices with limited resources. This allows for real-time image and video analysis, lower latency, improved privacy, and reduced energy consumption, making them ideal for applications like robotics, surveillance, and IoT devices.
Infographic showing various Embedded Computer Vision job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 92% Full Time, and 7% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $153,383 per year, or $73.7 per hour.
Computer Vision Engineer

Computer Vision Engineer

Qualcomm

San Diego, CA • On-site

$118K - $139K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Qualcomm rating

9.6

Company rating: 9.6 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

4th of 185 rated software companies


Job description

Job Summary:
Qualcomm Technologies, Inc. is building the intelligence behind advanced Snapdragon-powered devices. The Staff Computer Vision Engineer will leverage expertise in computer vision and video processing to design and implement algorithms, drive technical direction, and collaborate with cross-functional teams to enhance visual analytics experiences.
Responsibilities:
• Leverage advanced video and computer vision engineering expertise to research, design, and implement critical video processing and computer vision algorithms, including video encoder, decoder, processing, quality enhancement, and real‑time computer vision pipelines, from concept through production deployment.
• Lead system‑ and algorithm‑level architecture definition, standard studies, and feature decomposition to drive hardware and software requirements and specifications.
• Profile and optimize algorithm and model performance across memory, compute, power, and bandwidth constraints on mobile and embedded platforms.
• Collaborate closely with cross‑functional teams (hardware, software, systems, and product) and with customers to commercialize technologies and deliver best‑in‑class visual analytics experiences.
• Write clear and concise technical documentation, design specifications, and feature descriptions to guide internal teams and external partners.
• Contribute effectively in a fast‑paced, highly collaborative environment with globally distributed, cross‑functional teams.
• Provide technical mentorship and guidance to engineers across experience levels and influence technical decisions beyond the immediate team.
Qualifications:
Required:
• Bachelor's degree in Computer or Electrical Engineering, Computer Science, or related field and 4+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
• OR Master's degree in Computer or Electrical Engineering, Computer Science, or related field and 3+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
• OR PhD in Computer or Electrical Engineering, Computer Science, or related field and 2+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
• Strong background in computer vision and video processing algorithms.
• Solid understanding of SoC architecture, including compute accelerators, memory hierarchies, and hardware/software interfaces.
• Hands‑on experience with modern deep learning architectures.
• Strong coding skills in Python and C/C++ for production‑quality development, optimization, and on‑device deployment, with experience using ML/CV frameworks such as PyTorch, TensorFlow, ONNX, and OpenCV.
• Strong ability to work across algorithm, software, and hardware boundaries.
• Experience with real‑time computer vision systems or embedded AI deployment.
• Experience using performance profiling tools and hardware simulators.
Preferred:
• Master’s degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field.
• 4+ years of experience developing and implementing computer vision and video algorithms within system‑level products.
• 4+ years of experience with system design, system integration, and hardware/software optimization.
• 4+ years of experience with programming (e.g., C, C++, Python), computer architecture, or embedded systems.
• 3+ years of experience working in a large, matrixed organization.
• 1+ year of experience interacting with senior leadership (Director level and above).
• 1+ year of experience in a technical leadership role, with or without direct reports.
• Publication, patent, or external technical contribution experience is a plus.
Company:
Qualcomm designs wireless technologies and semiconductors that power connectivity, communication, and smart devices. Founded in 1985, the company is headquartered in San Diego, USA, with a team of 10001+ employees. The company is currently Late Stage.

Qualcomm logo

About Qualcomm

Sourced by ZipRecruiter

Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Our powerful connectivity solutions keep you connected—even in remote areas. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You’ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Diego, CA, US

Year founded

1985