1

Home Based Computer Engineer Jobs in California (NOW HIRING)

EDA Workflow Optimization Engineer

Santa Clara, CA · Hybrid

$130K - $154K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Hands-on experience running GPU-based workloads in a batch computing environment and a deep ...

next page

Showing results 1-20

Home Based Computer Engineer information

What is the difference between Home Based Computer Engineer vs Computer Technician?

AspectHome Based Computer EngineerComputer Technician
CredentialsTypically requires a degree in computer engineering or related certificationsOften certified in specific hardware or software areas, such as CompTIA A+
Work EnvironmentPrimarily works remotely from home, providing technical solutions online or via remote accessWorks on-site or in repair shops, handling hardware repairs and troubleshooting
Employer & IndustryFreelance, consulting firms, or remote IT service providersIT service centers, retail electronics stores, or repair shops

While both roles involve technical skills related to computers, a Home Based Computer Engineer typically works remotely providing design, troubleshooting, and consulting services, whereas a Computer Technician usually performs hands-on hardware repairs and maintenance on-site or in repair facilities.

Can I work from home as a Computer Engineer?

Home-based computer engineers can work remotely, especially in roles involving software development, network management, or technical support. They often need a reliable internet connection, appropriate hardware, and sometimes specific certifications or skills to perform their tasks effectively from home.

How can I make 2000 a week working from home?

Home based computer engineers can increase earnings by offering specialized services such as network setup, troubleshooting, or software development, often charging hourly or project-based rates. Building a strong client base, obtaining relevant certifications, and utilizing freelance platforms can help reach higher income levels, but earning $2000 weekly typically requires consistent work, advanced skills, and possibly multiple clients or projects.

How can I make $100,000 a year working from home?

Home Based Computer Engineers can reach a $100,000 annual income by gaining specialized skills in areas like cybersecurity, cloud computing, or network administration, often supported by certifications such as CompTIA or Cisco. Building a strong client base, offering freelance or consulting services, and maintaining a flexible schedule can also help increase earnings in this field.

What engineer makes $500,000 a year?

Highly experienced and specialized engineers, such as senior software engineers, data engineers, or engineering managers in tech companies, can earn $500,000 or more annually through base salary, bonuses, and stock options. Achieving this level typically requires advanced skills, extensive experience, and working in high-paying industries or leadership roles.
What are the most commonly searched types of Computer Engineer jobs in California? The most popular types of Computer Engineer jobs in California are:
Computer Vision Engineer - Advanced Development & Planning

Computer Vision Engineer - Advanced Development & Planning

AVA Consulting

Mountain View, CA • On-site

$130K - $154K/yr

Other

Posted 8 days ago


Job description

AVA Consulting is seeking a Computer Vision Engineer - Advanced Development & Planning

Location: Mountain View, CA

U.S. Citizens and those authorized to work in the U.S. are encouraged to apply. We are unable to sponsor at this time.

Company Background: Our client, a major employer in the area, is looking for a Computer Vision Engineer Advanced Development & Planning to be part of its team in its North American operations.

Job Description:

  • Develop proof-of-concept (POC) computer vision systems for intelligent mobility and in-vehicle applications. The role focuses on rapidly evaluating, implementing, and deploying state-of-the-art computer vision and AI technologies on vehicle-grade edge computing platforms, bridging cutting-edge research and real-world intelligent mobility systems.

Responsibilities:

  • Develop proof-of-concept systems using state-of-the-art AI and computer vision technologies.
  • Design and implement computer vision algorithms for object detection, tracking, semantic/instance segmentation, 3D scene understanding, visual localization, mapping, driver and occupant monitoring, and behavior recognition.
  • Build solutions using modern AI approaches including Vision Transformers (ViT), Vision-Language Models (VLMs), Multimodal AI, Foundation Models, Self-Supervised Learning, and Generative AI.
  • Evaluate and adapt the latest research papers and open-source models to automotive and intelligent mobility applications.
  • Integrate camera, vehicle, and sensor data to create innovative AI-driven applications.
  • Develop and integrate AI software on embedded and edge computing platforms for in-vehicle applications.
  • Design real-time perception systems operating under vehicle constraints including compute, memory, latency, power consumption, and robustness.
  • Optimize AI models for deployment on automotive SoCs, GPUs, and AI accelerators.
  • Prototype and evaluate end-to-end systems on vehicle platforms, embedded devices, and research vehicles.
  • Develop software for deployment and demonstration in vehicle-based proof-of-concept platforms.
  • Evaluate tradeoffs among accuracy, latency, memory footprint, and operational robustness.
  • Collaborate with researchers, software engineers, and system engineers to realize innovative concepts and demonstrations.
  • Stay up to date with emerging trends in computer vision, multimodal AI, edge AI, and intelligent mobility systems.

Requirements:

Required Skills:

  • Master's degree or higher in Computer Science, Electrical Engineering, Robotics, Artificial Intelligence, or a related field.
  • Strong background in Computer Vision and Machine Learning.
  • Hands-on experience with PyTorch, TensorFlow, OpenCV, or similar frameworks.
  • Experience implementing and training deep learning models including CNNs, Transformers, Vision Transformers (ViT), Vision-Language Models (VLMs), and multimodal architectures.
  • Strong programming skills in Python and C++.
  • Experience reading, reproducing, and extending recent AI/CV research publications.
  • Familiarity with Linux development environments.
  • Excellent verbal and written communication skills.

Preferred Skills:

  • Experience with Foundation Models, Large Vision Models, and Multimodal AI systems.
  • Experience with CLIP, SAM (Segment Anything), DINOv2, BEV-based perception models, or similar state-of-the-art vision technologies.
  • Experience with Generative AI and synthetic data generation.
  • Experience developing software on embedded Linux systems.
  • Experience with CUDA, TensorRT, ONNX Runtime, OpenVINO, or comparable inference optimization frameworks.
  • Experience optimizing and deploying AI models on edge devices and automotive computing platforms.
  • Experience with NVIDIA Jetson, NVIDIA DRIVE, Qualcomm Snapdragon Ride, or similar embedded AI platforms.
  • Experience with ROS/ROS2, sensor fusion, or robotic/automotive systems.
  • Experience in automotive, robotics, autonomous systems, or intelligent transportation systems.
  • Publications in leading AI, robotics, or computer vision conferences are a plus.

NOTE: Interested Candidates can apply by sending their Updated Resume and Contact Details.

Ron Tolson

AVA Consulting

Fax:

Web:


AVA Consulting logo

About AVA Consulting

Sourced by ZipRecruiter

AVA is a Premier provider of Top Talent resources for our Client’s Open Job Positions. AVA has consistently been recognized as a “GO TO” Company by our Clients for their resource needs. As a Staffing Services company, we provide Contract (Temporary), Contract to Hire (Temporary to Permanent), Permanent (Direct Placement) and Statement of Work (SOW) resources to Fortune 1000 clients nationwide.

Industry

Recruiting and staffing services

Company size

1 - 10 Employees

Headquarters location

Dallas, TX, US

Year founded

2004